diff --git a/analysis/study_definition_delivery.py b/analysis/study_definition_delivery.py
index 94f9821..ac3e664 100644
--- a/analysis/study_definition_delivery.py
+++ b/analysis/study_definition_delivery.py
@@ -268,5 +268,22 @@
             "incidence": 0.1
         },
     ),
+
+    # COVID VACCINATION - Moderna
+    covid_vacc_moderna_date=patients.with_tpp_vaccination_record(
+        product_name_matches="COVID-19 mRNA (nucleoside modified) Vaccine Moderna 0.1mg/0.5mL dose dispersion for inj MDV",
+        on_or_after="2020-12-01",  # check all december to date
+        find_first_match_in_period=True,
+        returning="date",
+        date_format="YYYY-MM-DD",
+        return_expectations={
+            "date": {
+                "earliest": "2020-04-01",  # expected from early april
+                "latest": index_date,
+            },
+            "incidence": 0.1
+        },
+    ),
+
     **common_variables
 )
diff --git a/analysis/study_definition_delivery_common.py b/analysis/study_definition_delivery_common.py
index c71f4e4..341281a 100644
--- a/analysis/study_definition_delivery_common.py
+++ b/analysis/study_definition_delivery_common.py
@@ -26,7 +26,7 @@
         AND (
             covid_vacc_date
             OR
-            (age >=65) 
+            (age >=50) 
             OR
             shielded
             OR
diff --git a/lib/create_report.py b/lib/create_report.py
index 02b7bc9..7129176 100644
--- a/lib/create_report.py
+++ b/lib/create_report.py
@@ -7,9 +7,8 @@
 
 
 # we create a dict for renaming population variables into suitable longer/correctly capitalised forms for presentation as titles
-variable_renaming = {'ageband': "Age band",
-                      'ageband 5yr': "Age band",
-                      'ageband_5yr': "Age band",
+variable_renaming = { 'ageband 5yr': "Age band",
+                      'ageband': "Age band",
                       'sex': "Sex",
                       'bmi':"BMI",   
                       'ethnicity 6 groups':"Ethnicity (broad categories)",
diff --git a/lib/data_processing.py b/lib/data_processing.py
index 80c5524..f6be805 100644
--- a/lib/data_processing.py
+++ b/lib/data_processing.py
@@ -58,10 +58,13 @@ def load_data(input_file='input_delivery.csv', input_path="output"):
         covid_vacc_flag = np.where(df["covid_vacc_date"]!=0,"vaccinated","unvaccinated"),
         covid_vacc_flag_ox = np.where(df["covid_vacc_oxford_date"]!=0, 1, 0),
         covid_vacc_flag_pfz = np.where(df["covid_vacc_pfizer_date"]!=0, 1, 0),
+        covid_vacc_flag_mod = np.where(df["covid_vacc_moderna_date"]!=0, 1, 0),
         covid_vacc_2nd = np.where(df["covid_vacc_second_dose_date"]!=0, 1, 0),
         covid_vacc_bin = np.where(df["covid_vacc_date"]!=0, 1, 0))
 
-
+    # create an additional field for 2nd dose to use as a flag for each eligible group
+    df["2nd_dose"] = df["covid_vacc_2nd"]
+    
     # Assign column SSRI to be where has SSRI and no psychosis/bipolar/schizophrenia/dementia or LD
     df = df.assign(
         ssri = np.where((df["ssri"]==1) & (df["psychosis_schiz_bipolar"]==0) &\
@@ -105,7 +108,7 @@ def load_data(input_file='input_delivery.csv', input_path="output"):
     df = df.rename(columns={"shielded_since_feb_15":"newly_shielded_since_feb_15"})
     
     # for each specific situation or condition, replace 1 with YES and 0 with no. This makes the graphs easier to read
-    for c in ["LD", "newly_shielded_since_feb_15", "dementia", 
+    for c in ["2nd_dose", "LD", "newly_shielded_since_feb_15", "dementia", 
           "chronic_cardiac_disease", "current_copd", "dialysis", "dmards","psychosis_schiz_bipolar",
          "solid_organ_transplantation", "chemo_or_radio", "intel_dis_incl_downs_syndrome","ssri",
           "lung_cancer", "cancer_excl_lung_and_haem", "haematological_cancer", "bone_marrow_transplant",
diff --git a/lib/report_results.py b/lib/report_results.py
index 29e26f4..0aa8b37 100644
--- a/lib/report_results.py
+++ b/lib/report_results.py
@@ -99,7 +99,7 @@ def filtering(d):
     return l
 
 
-def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
+def cumulative_sums(df, groups_of_interest, features_dict, latest_date, reference_column_name="covid_vacc_date"):
     '''
     Calculate cumulative sums across groups
     
@@ -108,6 +108,7 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
         groups_of_interest (dict): dict mapping names of population/eligible subgroups to integers (1-9, and 0 for "other")
         features_dict (dict): dictionary mapping population subgroups to a list of demographic/clinical factors to include for that group
         latest_date (str): "YYYY-MM-DD"
+        reference_column_name (str): e.g. "covid_vacc_date" for first dose, "covid_vacc_second_dose_date" for second dose
     
     Returns:
         df_dict_out (dict): This dict is a mapping from a group name (e.g '80+') to another dict, which is a mapping from a feature name (e.g. 'sex') to a dataframe containing cumulative sums of vaccination data per day. 
@@ -119,7 +120,7 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
     # for each group within the desired groups, it filters to that particular group. it 
     # also selects columns of interest. For example, in care home, we are interested in 
     # sex, ageband and broad ethnicity groups. In the analysis of age bands we are interested
-    # in much more detail such as comorbidies and ethnicity in 16 groups. 
+    # in much more detail such as comorbidities and ethnicity in 16 groups. 
     
     # make a new field for the priority groups we are looking at (where any we have not specifically listed are regrouped as 0/"other")
     items_to_group = filtering(groups_of_interest)
@@ -140,7 +141,7 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
             cols =  features_dict["DEFAULT"]
 
         
-        df_dict_temp = filtered_cumulative_sum(df=out, columns=cols, latest_date=latest_date)
+        df_dict_temp = filtered_cumulative_sum(df=out, columns=cols, latest_date=latest_date, reference_column_name=reference_column_name)
 
         
         df_dict_out[group_title] = df_dict_temp
@@ -148,7 +149,7 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
     return df_dict_out
 
 
-def filtered_cumulative_sum(df, columns, latest_date):
+def filtered_cumulative_sum(df, columns, latest_date, reference_column_name="covid_vacc_date"):
     """
     This calculates cumulative sums for a dataframe, and when given a set of
     characteristics as columns, produces a dictionary of dataframes.
@@ -158,6 +159,7 @@ def filtered_cumulative_sum(df, columns, latest_date):
             YYYY-MM-DD format, a column called 'covid_vacc_date' and a 'covid_vacc_flag'.
         columns (list): list of subgroups e.g. ageband, sex
         latest_date (datetime object): the date of the latest date of counting vaccines
+        reference_column_name (str): e.g. "covid_vacc_date" for first dose, "covid_vacc_second_dose_date" for second dose
 
     Returns:
         Dict (of dataframes): Each dataframe produced has a date as a row, with the value of the number
@@ -175,30 +177,32 @@ def filtered_cumulative_sum(df, columns, latest_date):
     total = df[["patient_id"]].nunique()[0]
 
     # Copies the dataframe but filters only to those who have had a vaccine recorded 
-    out2 = df.copy().loc[(df["covid_vacc_flag"]=="vaccinated")]
+    filtered = df.copy().loc[(df[reference_column_name]!=0)]
 
     # group by date of covid vaccines to calculate cumulative sum of vaccines at each date of the campaign
-    out2 = pd.DataFrame(out2.groupby(["covid_vacc_date"])[["patient_id"]].nunique().unstack().fillna(0).cumsum()).reset_index()
+    out2 = pd.DataFrame(filtered.groupby([reference_column_name])[["patient_id"]].nunique().unstack().fillna(0).cumsum()).reset_index()
     out2 = out2.rename(columns={0:"overall"}).drop(["level_0"],1)
 
     # in case no vaccinations on latest date for some orgs/groups, insert the latest data as a new row with the required date:
-    if out2["covid_vacc_date"].max()<latest_date:
+    if out2[reference_column_name].max()<latest_date:
         out2.loc[max(out2.index)+1] = [latest_date, out2["overall"].max()]
-
+    
     # suppress low numbers
     out2["overall"] = out2["overall"].replace([1,2,3,4,5,6], 0).fillna(0).astype(int)
     
     # Rounds the overall_total values (and makes into integers)
-    out2["overall_total"] = round7(total)
+    out2["overall_total"] = round7(total)    
     
     # create a percentage by dividing results by total
-    out2["overall_percent"] = 100*(out2["overall"]/out2["overall_total"])
-    df_dict_temp["overall"] = out2.set_index("covid_vacc_date")
+    out2[f"overall_percent"] = 100*(out2["overall"]/out2["overall_total"])
+  
+    df_dict_temp["overall"] = out2.set_index(reference_column_name)
     
     # figures by demographic/clinical features
     for feature in columns:
         if feature=="sex":
             df = df.loc[df[feature].isin(["M","F"])]
+            filtered = filtered.loc[filtered[feature].isin(["M","F"])]
 
         # find total number of patients in each subgroup (e.g. no of males and no of females)
         totals = df.groupby([feature])[["patient_id"]].nunique().rename(columns={"patient_id":"total"}).transpose()
@@ -208,8 +212,7 @@ def filtered_cumulative_sum(df, columns, latest_date):
         
         # find total number of patients vaccinated in each subgroup (e.g. no of males and no of females),
             # cumulative at each date of the campaign
-        out2 = df.copy().loc[(df["covid_vacc_flag"]=="vaccinated")]
-        out2 = out2.groupby([feature, "covid_vacc_date"])["patient_id"].nunique().unstack(0)
+        out2 = filtered.copy().groupby([feature, reference_column_name])["patient_id"].nunique().unstack(0)
         out2 = out2.fillna(0).cumsum()
         
         # suppress low numbers
@@ -312,6 +315,7 @@ def report_results(df_dict_cum, group, latest_date, breakdown=None):
     # for each category in the breakdown 
     for category in breakdown:
         out = df_dict_cum[group][category]
+        reference_column_name = out.index.name
 
         # calculate changes: select only latest date and 7 days ago:
         latest = pd.to_datetime(out.index).max()
@@ -360,7 +364,7 @@ def report_results(df_dict_cum, group, latest_date, breakdown=None):
 
         ##### n, percent and total pop figures for latest date
         out2 = df_dict_cum[group][category].reset_index()
-        out2 = out2.loc[out2["covid_vacc_date"]==latest_date].reset_index().set_index("covid_vacc_date").drop(["index"], 1).transpose()
+        out2 = out2.loc[out2[reference_column_name]==latest_date].reset_index().set_index(reference_column_name).drop(["index"], 1).transpose()
         # split field names e.g. "M_percent" ->"M""percent"
         out2.index = pd.MultiIndex.from_tuples(out2.index.str.split('_').tolist())
         out2 = out2.unstack().reset_index(col_level=1)
@@ -432,7 +436,7 @@ def round7(input_):
         return ( int(7*round((input_/7),0)) )
 
 
-def create_summary_stats(df, summarised_data_dict,  formatted_latest_date, savepath, 
+def create_summary_stats(df, summarised_data_dict,  formatted_latest_date, savepath,  vaccine_type="first_dose",
                          groups=["80+", "70-79", "care home", "shielding (aged 16-69)"],
                          suffix=""):
     """
@@ -449,6 +453,8 @@ def create_summary_stats(df, summarised_data_dict,  formatted_latest_date, savep
         formatted_latest_date (str): str that is created by running 
             find_and_save_latest_date()
         savepath (dict): location to save summary stats
+        vaccine_type (str): used in output strings to describe type of vaccine received e.g. "first_dose", "moderna". 
+                            Also appended to filename of output. 
         groups (list): groups of interest. 
         suffix (str): provider name to append to output
 
@@ -463,11 +469,15 @@ def create_summary_stats(df, summarised_data_dict,  formatted_latest_date, savep
     summary_stats[f"### As at {formatted_latest_date}"] = ""
 
     # get the total vaccinated and round to the nearest 7
-    vaccinated_total = round7( df.loc[df["covid_vacc_date"]!=0]["patient_id"].nunique() )
+    if vaccine_type=="first_dose":
+        reference_column_name="covid_vacc_date"
+    elif vaccine_type=="second_dose":
+        reference_column_name="covid_vacc_second_dose_date"
+    vaccinated_total = round7( df.loc[df[reference_column_name]!=0]["patient_id"].nunique() )
 
     # add the results fo the summary_stats dict 
     suffix_str = suffix.replace("_","").upper()
-    summary_stats[f"**Total** population vaccinated in {suffix_str}"] = f"{vaccinated_total:,d}"
+    summary_stats[f"**Total** population receiving {vaccine_type.replace('_',' ')} in {suffix_str}"] = f"{vaccinated_total:,d}"
 
     # loop through the specified groups and calculate number vaccinated in the groups
     # add the results to the dict
@@ -477,24 +487,29 @@ def create_summary_stats(df, summarised_data_dict,  formatted_latest_date, savep
         if "not in other eligible groups" not in group:
             percent = out.loc[("overall","overall")]["percent"].round(1)
             total = out.loc[("overall","overall")]["total"].astype(int)
-            summary_stats[f"**{group}** population vaccinated"] = f"{vaccinated:,} ({percent}% of {total:,})"
+            summary_stats[f"**{group}** population receiving {vaccine_type.replace('_',' ')}"] = f"{vaccinated:,} (**{percent}%** of {total:,})"
             #out_str = f"**{k}** population vaccinated {vaccinated:,} ({percent}% of {total:,})"
         else:
             #out_str = f"**{k}** population vaccinated {vaccinated:,}"
-            summary_stats[f"**{group}** population vaccinated"] = f"{vaccinated:,}"
-
-    # count oxford vax as a proportion of total; filter to date of first vax only in case of patients having mixed types    
-    oxford_vaccines = round7(df.copy().loc[df["covid_vacc_date"]==df["covid_vacc_oxford_date"]]["covid_vacc_flag_ox"].sum())
-    ox_percent = round(100*oxford_vaccines/vaccinated_total, 1)
-    second_doses = round7(df["covid_vacc_2nd"].sum())
-    sd_percent = round(100*second_doses/vaccinated_total, 1)
-
-    summary_stats[f"#### Vaccine types and second doses"] = ""
-    summary_stats["Second doses (% of all vaccinated)"] = f"{second_doses:,} ({sd_percent}%)"
-    summary_stats["Oxford-AZ vaccines (% of all first doses)"] = f"{oxford_vaccines:,} ({ox_percent}%)"
+            summary_stats[f"**{group}** population receiving {vaccine_type.replace('_',' ')}"] = f"{vaccinated:,}"
+
+    # if summarising first doses, perform some additional calculations        
+    if vaccine_type=="first_dose":        
+        # count oxford vax as a proportion of total; filter to date of first vax only in case of patients having mixed types    
+        oxford_vaccines = round7(df.copy().loc[df["covid_vacc_date"]==df["covid_vacc_oxford_date"]]["covid_vacc_flag_ox"].sum())
+        ox_percent = round(100*oxford_vaccines/vaccinated_total, 1)
+        moderna_vaccines = round7(df.copy().loc[df["covid_vacc_date"]==df["covid_vacc_moderna_date"]]["covid_vacc_flag_mod"].sum())
+        mod_percent = round(100*moderna_vaccines/vaccinated_total, 1)
+        second_doses = round7(df["covid_vacc_2nd"].sum())
+        sd_percent = round(100*second_doses/vaccinated_total, 1)
+
+        summary_stats[f"#### Vaccine types and second doses"] = ""
+        summary_stats["Second doses (% of all vaccinated)"] = f"{second_doses:,} ({sd_percent}%)"
+        summary_stats["Oxford-AZ vaccines (% of all first doses)"] = f"{oxford_vaccines:,} ({ox_percent}%)"
+        summary_stats["Moderna vaccines (% of all first doses)"] = f"{moderna_vaccines:,} ({mod_percent}%)"
 
     # export summary stats to text file
-    json.dump(summary_stats, open(os.path.join(savepath["text"], "summary_stats.txt"),'w'))
+    json.dump(summary_stats, open(os.path.join(savepath["text"], f"summary_stats_{vaccine_type}.txt"),'w'))
 
     return summary_stats
 
@@ -580,7 +595,7 @@ def plot_dem_charts(summary_stats_results, cumulative_data_dict, formatted_lates
         display(Markdown(f"## \n ## COVID vaccination rollout among **{k}** population up to {formatted_latest_date}{org_string}"))
 
         # get the overall vaccination rate among relevant group and strip out the text to get the number (should be within 0 - 100)
-        overall_rate = float(summary_stats_results[f"**{k}** population vaccinated"].split(" ")[1][1:5])
+        overall_rate = float(summary_stats_results[f"**{k}** population receiving first dose"].split(" ")[1][3:7])
     
         out=cumulative_data_dict[k]
         
@@ -615,7 +630,7 @@ def plot_dem_charts(summary_stats_results, cumulative_data_dict, formatted_lates
             # plot trend chart and set chart options
             out.plot(legend=True, ds='steps-post')
             plt.axhline(overall_rate, color="k", linestyle="--", alpha=0.5)
-            plt.text(0, overall_rate*1.02, "latest overall national* rate")
+            plt.text(0, overall_rate*1.02, "latest overall cohort rate")
             plt.ylim(top=1.1*max(overall_rate, out.max().max()))
             plt.ylabel("Percent vaccinated (cumulative)")
             plt.xlabel("Date vaccinated")
diff --git a/notebooks/opensafely_vaccine_report_overall.ipynb b/notebooks/opensafely_vaccine_report_overall.ipynb
index 3b8dde1..8cd44d0 100644
--- a/notebooks/opensafely_vaccine_report_overall.ipynb
+++ b/notebooks/opensafely_vaccine_report_overall.ipynb
@@ -26,7 +26,7 @@
     {
      "data": {
       "text/markdown": [
-       "### Report last updated **29 Mar 2021**"
+       "### Report last updated **06 Apr 2021**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -38,7 +38,7 @@
     {
      "data": {
       "text/markdown": [
-       "### Vaccinations included up to **05 Mar 2021** inclusive"
+       "### Vaccinations included up to **30 Mar 2021** inclusive"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -78,6 +78,7 @@
     " - <a href=#charts_shield>shielding (aged 16-69) population</a>\n",
     " - <a href=#charts65>65-69 population</a>\n",
     " - <a href=#charts60>60-64 population</a>\n",
+    " - <a href=#charts55>55-59 population</a>\n",
     "- **<a href=#tables>Current vaccination coverage of each eligible population group, according to demographic/clinical features</a>**<br />\n",
     "  - Includes each of the groups above, plus care home (65+) and LD (aged 16-64) populations.\n",
     "- Appendix: <a href=#ethnicity>Proportion of each population group for whom ethnicity is known</a>"
@@ -99,7 +100,7 @@
     {
      "data": {
       "text/markdown": [
-       "### As at 05 Mar 2021: "
+       "### As at 30 Mar 2021: "
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -111,7 +112,7 @@
     {
      "data": {
       "text/markdown": [
-       "**Total** population vaccinated in TPP: 19,999"
+       "**Total** population receiving first dose in TPP: 19,999; second dose: 4,998"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -123,7 +124,7 @@
     {
      "data": {
       "text/markdown": [
-       "**80+** population vaccinated: 882 (41.7% of 2,114)"
+       "**80+** population receiving first dose: 854 (**40.1%** of 2,121); second dose: 217 (**10.1%** of 2,121)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -135,7 +136,7 @@
     {
      "data": {
       "text/markdown": [
-       "**70-79** population vaccinated: 1,421 (40.5% of 3,514)"
+       "**70-79** population receiving first dose: 1,414 (**39.5%** of 3,570); second dose: 343 (**9.6%** of 3,570)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -147,7 +148,7 @@
     {
      "data": {
       "text/markdown": [
-       "**care home** population vaccinated: 532 (37.5% of 1,414)"
+       "**care home** population receiving first dose: 546 (**40.0%** of 1,372); second dose: 147 (**10.6%** of 1,372)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -159,7 +160,7 @@
     {
      "data": {
       "text/markdown": [
-       "**shielding (aged 16-69)** population vaccinated: 161 (38.6% of 420)"
+       "**shielding (aged 16-69)** population receiving first dose: 154 (**37.0%** of 413); second dose: 42 (**10.2%** of 413)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -171,7 +172,7 @@
     {
      "data": {
       "text/markdown": [
-       "**65-69** population vaccinated: 868 (40.4% of 2,149)"
+       "**65-69** population receiving first dose: 903 (**41.1%** of 2,191); second dose: 210 (**9.6%** of 2,191)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -183,7 +184,7 @@
     {
      "data": {
       "text/markdown": [
-       "**LD (aged 16-64)** population vaccinated: 315 (40.1% of 791)"
+       "**LD (aged 16-64)** population receiving first dose: 322 (**41.3%** of 784); second dose: 84 (**10.3%** of 784)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -195,7 +196,7 @@
     {
      "data": {
       "text/markdown": [
-       "**60-64** population vaccinated: 1,008 (39.2% of 2,576)"
+       "**60-64** population receiving first dose: 1,043 (**39.7%** of 2,632); second dose: 294 (**11.2%** of 2,632)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -207,7 +208,19 @@
     {
      "data": {
       "text/markdown": [
-       "**under 60s, not in other eligible groups shown** population vaccinated: 14,812"
+       "**55-59** population receiving first dose: 1,302 (**41.5%** of 3,136); second dose: 315 (**10.0%** of 3,136)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**under 55s, not in other eligible groups shown** population receiving first dose: 13,468; second dose: 3,353"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -243,7 +256,7 @@
     {
      "data": {
       "text/markdown": [
-       "Oxford-AZ vaccines (% of all first doses): 7 (0.0%)"
+       "Oxford-AZ vaccines (% of all first doses): 0 (0.0%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -288,10 +301,18 @@
    ],
    "source": [
     "import json\n",
-    "summary_stats = json.load(open(os.path.join(\"..\", \"interim-outputs\",\"text\", \"summary_stats.txt\")))\n",
+    "summary_stats_1 = json.load(open(os.path.join(\"..\", \"interim-outputs\",\"text\", \"summary_stats_first_dose.txt\")))\n",
+    "summary_stats_2 = json.load(open(os.path.join(\"..\", \"interim-outputs\",\"text\", \"summary_stats_second_dose.txt\")))\n",
+    "\n",
     "\n",
-    "for x in summary_stats.keys():\n",
-    "    display(Markdown(f\"{x}: {summary_stats[x]}\"))\n",
+    "for x in summary_stats_1.keys():\n",
+    "    if \"population receiving first dose\" in x:\n",
+    "        x2 = x.replace(\"first\", \"second\")\n",
+    "        display(Markdown(f\"{x}: {summary_stats_1[x]}; second dose: {summary_stats_2[x2]}\"))\n",
+    "    else:\n",
+    "        if \"Moderna\" not in x:    \n",
+    "            display(Markdown(f\"{x}: {summary_stats_1[x]}\"))\n",
+    "    \n",
     "    \n",
     "display(Markdown(f\"##### \\n\" \n",
     "                 \"**NB** Patient counts are rounded to nearest 7\\n\"\n",
@@ -323,7 +344,7 @@
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+       "     <g id=\"text_6\">\n",
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-       "    <g transform=\"translate(43.219375 19.3575)scale(0.16 -0.16)\">\n",
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-       "    <g id=\"text_18\">\n",
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        "    </g>\n",
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-       "    <g id=\"text_20\">\n",
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        "     <!-- 70-79 -->\n",
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-       "    <g id=\"text_21\">\n",
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-       "     <g transform=\"translate(444.882625 85.990313)scale(0.1 -0.1)\">\n",
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+       "     <path d=\"M 420.06075 141.202812  L 440.06075 141.202812  \" style=\"fill:none;stroke:#7f7f7f;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_37\"/>\n",
-       "    <g id=\"text_24\">\n",
+       "    <g id=\"line2d_41\"/>\n",
+       "    <g id=\"text_26\">\n",
        "     <!-- care home -->\n",
-       "     <g transform=\"translate(444.882625 130.024687)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(448.06075 144.702812)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-99\"/>\n",
        "      <use x=\"54.980469\" xlink:href=\"#DejaVuSans-97\"/>\n",
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@@ -935,18 +1027,18 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_38\">\n",
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+       "    <g id=\"line2d_42\">\n",
+       "     <path d=\"M 420.06075 155.880938  L 440.06075 155.880938  \" style=\"fill:none;stroke:#bcbd22;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_39\"/>\n",
-       "    <g id=\"text_25\">\n",
+       "    <g id=\"line2d_43\"/>\n",
+       "    <g id=\"text_27\">\n",
        "     <!-- LD (aged 16-64) -->\n",
        "     <defs>\n",
        "      <path d=\"M 9.8125 72.90625  L 19.671875 72.90625  L 19.671875 8.296875  L 55.171875 8.296875  L 55.171875 0  L 9.8125 0  z \" id=\"DejaVuSans-76\"/>\n",
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        "     </defs>\n",
-       "     <g transform=\"translate(444.882625 144.702812)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(448.06075 159.380938)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-76\"/>\n",
        "      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-68\"/>\n",
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@@ -964,13 +1056,13 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_40\">\n",
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+       "    <g id=\"line2d_44\">\n",
+       "     <path d=\"M 420.06075 170.559062  L 440.06075 170.559062  \" style=\"fill:none;stroke:#17becf;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_41\"/>\n",
-       "    <g id=\"text_26\">\n",
+       "    <g id=\"line2d_45\"/>\n",
+       "    <g id=\"text_28\">\n",
        "     <!-- shielding (aged 16-69) -->\n",
-       "     <g transform=\"translate(444.882625 159.380937)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(448.06075 174.059062)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-115\"/>\n",
        "      <use x=\"52.099609\" xlink:href=\"#DejaVuSans-104\"/>\n",
        "      <use x=\"115.478516\" xlink:href=\"#DejaVuSans-105\"/>\n",
@@ -999,8 +1091,8 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p7e22873e3b\">\n",
-       "   <rect height=\"217.44\" width=\"334.8\" x=\"59.690625\" y=\"25.3575\"/>\n",
+       "  <clipPath id=\"pbd99b6ac88\">\n",
+       "   <rect height=\"217.44\" width=\"334.8\" x=\"62.86875\" y=\"25.3575\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
        "</svg>"
@@ -1080,10 +1172,10 @@
        "    <g id=\"xtick_1\">\n",
        "     <g id=\"line2d_1\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m4eaabe1e26\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m116ef295de\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m116ef295de\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -1109,7 +1201,7 @@
        "    <g id=\"xtick_2\">\n",
        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.603548\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
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        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_2\">\n",
@@ -1117,7 +1209,7 @@
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(108.976204 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1130,7 +1222,7 @@
        "    <g id=\"xtick_3\">\n",
        "     <g id=\"line2d_3\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.385789\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"165.501896\" xlink:href=\"#m116ef295de\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_3\">\n",
@@ -1142,7 +1234,7 @@
        "       <path d=\"M 34.28125 27.484375  Q 23.390625 27.484375 19.1875 25  Q 14.984375 22.515625 14.984375 16.5  Q 14.984375 11.71875 18.140625 8.90625  Q 21.296875 6.109375 26.703125 6.109375  Q 34.1875 6.109375 38.703125 11.40625  Q 43.21875 16.703125 43.21875 25.484375  L 43.21875 27.484375  z M 52.203125 31.203125  L 52.203125 0  L 43.21875 0  L 43.21875 8.296875  Q 40.140625 3.328125 35.546875 0.953125  Q 30.953125 -1.421875 24.3125 -1.421875  Q 15.921875 -1.421875 10.953125 3.296875  Q 6 8.015625 6 15.921875  Q 6 25.140625 12.171875 29.828125  Q 18.359375 34.515625 30.609375 34.515625  L 43.21875 34.515625  L 43.21875 35.40625  Q 43.21875 41.609375 39.140625 45  Q 35.0625 48.390625 27.6875 48.390625  Q 23 48.390625 18.546875 47.265625  Q 14.109375 46.140625 10.015625 43.890625  L 10.015625 52.203125  Q 14.9375 54.109375 19.578125 55.046875  Q 24.21875 56 28.609375 56  Q 40.484375 56 46.34375 49.84375  Q 52.203125 43.703125 52.203125 31.203125  z \" id=\"DejaVuSans-97\"/>\n",
        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-56\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1155,7 +1247,7 @@
        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"220.342191\" xlink:href=\"#m116ef295de\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_4\">\n",
@@ -1165,7 +1257,7 @@
        "       <path d=\"M 9.8125 72.90625  L 51.703125 72.90625  L 51.703125 64.59375  L 19.671875 64.59375  L 19.671875 43.109375  L 48.578125 43.109375  L 48.578125 34.8125  L 19.671875 34.8125  L 19.671875 0  L 9.8125 0  z \" id=\"DejaVuSans-70\"/>\n",
        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1178,12 +1270,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m116ef295de\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1193,7 +1285,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m116ef295de\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
+       "       <use x=\"245.3125\" xlink:href=\"#DejaVuSans-97\"/>\n",
+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -1222,15 +1336,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mf671492197\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mc1df8788c9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mf671492197\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc1df8788c9\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -1238,72 +1352,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
+       "     <g id=\"line2d_8\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mf671492197\" y=\"169.921897\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc1df8788c9\" y=\"169.225525\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 173.721116)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 173.024744)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mf671492197\" y=\"124.657708\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc1df8788c9\" y=\"123.264963\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 128.456926)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 127.064182)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1581,12 +1688,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#mc5fee45fa1\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m0c2d9d6547\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -1596,7 +1703,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m0c2d9d6547\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -1625,15 +1754,15 @@
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m73f76ffb86\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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@@ -1641,72 +1770,71 @@
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        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m73f76ffb86\" y=\"129.68983\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "      <!-- 30 -->\n",
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        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
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-       "      <g transform=\"translate(20.878125 47.992792)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -2088,12 +2211,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m743b8e67d6\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m8cd8d26feb\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -2103,7 +2226,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m8cd8d26feb\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -2132,15 +2277,15 @@
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mc6336c286b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m64ada03ff7\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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@@ -2148,72 +2293,71 @@
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        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc6336c286b\" y=\"172.832557\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc6336c286b\" y=\"130.479026\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
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        "      <!-- 20 -->\n",
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        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
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-       "      <g transform=\"translate(20.878125 49.571184)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
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        "     <use x=\"624.951172\" xlink:href=\"#DejaVuSans-108\"/>\n",
        "     <use x=\"652.734375\" xlink:href=\"#DejaVuSans-32\"/>\n",
-       "     <use x=\"684.521484\" xlink:href=\"#DejaVuSans-110\"/>\n",
-       "     <use x=\"747.900391\" xlink:href=\"#DejaVuSans-97\"/>\n",
-       "     <use x=\"809.179688\" xlink:href=\"#DejaVuSans-116\"/>\n",
-       "     <use x=\"848.388672\" xlink:href=\"#DejaVuSans-105\"/>\n",
-       "     <use x=\"876.171875\" xlink:href=\"#DejaVuSans-111\"/>\n",
-       "     <use x=\"937.353516\" xlink:href=\"#DejaVuSans-110\"/>\n",
-       "     <use x=\"1000.732422\" xlink:href=\"#DejaVuSans-97\"/>\n",
-       "     <use x=\"1062.011719\" xlink:href=\"#DejaVuSans-108\"/>\n",
-       "     <use x=\"1089.794922\" xlink:href=\"#DejaVuSans-42\"/>\n",
-       "     <use x=\"1139.794922\" xlink:href=\"#DejaVuSans-32\"/>\n",
-       "     <use x=\"1171.582031\" xlink:href=\"#DejaVuSans-114\"/>\n",
-       "     <use x=\"1212.695312\" xlink:href=\"#DejaVuSans-97\"/>\n",
-       "     <use x=\"1273.974609\" xlink:href=\"#DejaVuSans-116\"/>\n",
-       "     <use x=\"1313.183594\" xlink:href=\"#DejaVuSans-101\"/>\n",
+       "     <use x=\"684.521484\" xlink:href=\"#DejaVuSans-99\"/>\n",
+       "     <use x=\"739.501953\" xlink:href=\"#DejaVuSans-111\"/>\n",
+       "     <use x=\"800.683594\" xlink:href=\"#DejaVuSans-104\"/>\n",
+       "     <use x=\"864.0625\" xlink:href=\"#DejaVuSans-111\"/>\n",
+       "     <use x=\"925.244141\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "     <use x=\"966.357422\" xlink:href=\"#DejaVuSans-116\"/>\n",
+       "     <use x=\"1005.566406\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "     <use x=\"1037.353516\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "     <use x=\"1078.466797\" xlink:href=\"#DejaVuSans-97\"/>\n",
+       "     <use x=\"1139.746094\" xlink:href=\"#DejaVuSans-116\"/>\n",
+       "     <use x=\"1178.955078\" xlink:href=\"#DejaVuSans-101\"/>\n",
        "    </g>\n",
        "   </g>\n",
        "   <g id=\"legend_1\">\n",
        "    <g id=\"patch_7\">\n",
        "     <path d=\"M 399.143125 103.26875  L 515.0025 103.26875  Q 517.0025 103.26875 517.0025 101.26875  L 517.0025 14.2  Q 517.0025 12.2 515.0025 12.2  L 399.143125 12.2  Q 397.143125 12.2 397.143125 14.2  L 397.143125 101.26875  Q 397.143125 103.26875 399.143125 103.26875  z \" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_18\">\n",
+       "    <g id=\"line2d_19\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_19\"/>\n",
-       "    <g id=\"text_14\">\n",
+       "    <g id=\"line2d_20\"/>\n",
+       "    <g id=\"text_15\">\n",
        "     <!-- 1 Most deprived -->\n",
        "     <defs>\n",
-       "      <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
        "      <path d=\"M 18.109375 8.203125  L 18.109375 -20.796875  L 9.078125 -20.796875  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  z M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z \" id=\"DejaVuSans-112\"/>\n",
        "     </defs>\n",
        "     <g transform=\"translate(429.143125 23.798437)scale(0.1 -0.1)\">\n",
@@ -2359,41 +2499,41 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_20\">\n",
+       "    <g id=\"line2d_21\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_21\"/>\n",
-       "    <g id=\"text_15\">\n",
+       "    <g id=\"line2d_22\"/>\n",
+       "    <g id=\"text_16\">\n",
        "     <!-- 2 -->\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_22\">\n",
+       "    <g id=\"line2d_23\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_23\"/>\n",
-       "    <g id=\"text_16\">\n",
+       "    <g id=\"line2d_24\"/>\n",
+       "    <g id=\"text_17\">\n",
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        "      <use xlink:href=\"#DejaVuSans-51\"/>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_24\">\n",
+       "    <g id=\"line2d_25\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_25\"/>\n",
-       "    <g id=\"text_17\">\n",
+       "    <g id=\"line2d_26\"/>\n",
+       "    <g id=\"text_18\">\n",
        "     <!-- 4 -->\n",
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        "      <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_26\">\n",
+       "    <g id=\"line2d_27\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_27\"/>\n",
-       "    <g id=\"text_18\">\n",
+       "    <g id=\"line2d_28\"/>\n",
+       "    <g id=\"text_19\">\n",
        "     <!-- 5 Least deprived -->\n",
        "     <defs>\n",
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@@ -2418,11 +2558,11 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_28\">\n",
+       "    <g id=\"line2d_29\">\n",
        "     <path d=\"M 401.143125 93.689062  L 421.143125 93.689062  \" style=\"fill:none;stroke:#8c564b;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_29\"/>\n",
-       "    <g id=\"text_19\">\n",
+       "    <g id=\"line2d_30\"/>\n",
+       "    <g id=\"text_20\">\n",
        "     <!-- Unknown -->\n",
        "     <defs>\n",
        "      <path d=\"M 8.6875 72.90625  L 18.609375 72.90625  L 18.609375 28.609375  Q 18.609375 16.890625 22.84375 11.734375  Q 27.09375 6.59375 36.625 6.59375  Q 46.09375 6.59375 50.34375 11.734375  Q 54.59375 16.890625 54.59375 28.609375  L 54.59375 72.90625  L 64.5 72.90625  L 64.5 27.390625  Q 64.5 13.140625 57.4375 5.859375  Q 50.390625 -1.421875 36.625 -1.421875  Q 22.796875 -1.421875 15.734375 5.859375  Q 8.6875 13.140625 8.6875 27.390625  z \" id=\"DejaVuSans-85\"/>\n",
@@ -2443,7 +2583,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
-       "  <clipPath id=\"p19470c75d9\">\n",
+       "  <clipPath id=\"p8bcaf261f5\">\n",
        "   <rect height=\"217.44\" width=\"334.8\" x=\"40.603125\" y=\"7.2\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
@@ -2490,10 +2630,10 @@
        "    <g id=\"xtick_1\">\n",
        "     <g id=\"line2d_1\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m4444a1341e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m0d4966433b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m4444a1341e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m0d4966433b\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -2519,7 +2659,7 @@
        "    <g id=\"xtick_2\">\n",
        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.603548\" xlink:href=\"#m4444a1341e\" y=\"224.64\"/>\n",
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        "     </g>\n",
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@@ -2527,7 +2667,7 @@
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        "      </defs>\n",
-       "      <g transform=\"translate(108.976204 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -2540,7 +2680,7 @@
        "    <g id=\"xtick_3\">\n",
        "     <g id=\"line2d_3\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.385789\" xlink:href=\"#m4444a1341e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"165.501896\" xlink:href=\"#m0d4966433b\" y=\"224.64\"/>\n",
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@@ -2552,7 +2692,7 @@
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        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-56\"/>\n",
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@@ -2565,7 +2705,7 @@
        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m4444a1341e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"220.342191\" xlink:href=\"#m0d4966433b\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_4\">\n",
@@ -2575,7 +2715,7 @@
        "       <path d=\"M 9.8125 72.90625  L 51.703125 72.90625  L 51.703125 64.59375  L 19.671875 64.59375  L 19.671875 43.109375  L 48.578125 43.109375  L 48.578125 34.8125  L 19.671875 34.8125  L 19.671875 0  L 9.8125 0  z \" id=\"DejaVuSans-70\"/>\n",
        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -2588,12 +2728,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m4444a1341e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m0d4966433b\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
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@@ -2603,7 +2743,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m0d4966433b\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
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        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "      <!-- 10 -->\n",
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        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
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-       "     <g id=\"text_11\">\n",
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        "    </g>\n",
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-       "      <g transform=\"translate(181.726414 239.238438)scale(0.1 -0.1)\">\n",
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-       "      <g transform=\"translate(251.093811 239.238438)scale(0.1 -0.1)\">\n",
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@@ -3000,12 +3158,12 @@
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        "      <g>\n",
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        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238438)scale(0.1 -0.1)\">\n",
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@@ -3015,15 +3173,37 @@
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        "    </g>\n",
-       "    <g id=\"text_6\">\n",
-       "     <!-- Date vaccinated -->\n",
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+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
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+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
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        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "      <!-- 10 -->\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238438)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#me940595bbb\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m9ca254a113\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238438)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -3421,7 +3597,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m9ca254a113\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
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        "     </defs>\n",
-       "     <g transform=\"translate(167.108594 252.916563)scale(0.1 -0.1)\">\n",
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        "      <use xlink:href=\"#DejaVuSans-68\"/>\n",
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@@ -3450,15 +3648,15 @@
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m456c4372ad\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m72891887b9\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -3466,72 +3664,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m456c4372ad\" y=\"169.958567\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 173.757786)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 171.950135)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m456c4372ad\" y=\"124.731047\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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+       "      <g transform=\"translate(20.878125 124.914964)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m456c4372ad\" y=\"79.503527\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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-       "      <g transform=\"translate(20.878125 38.075226)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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        "      <g>\n",
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        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
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@@ -3827,7 +4021,29 @@
        "      </g>\n",
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        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
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+       "      <g>\n",
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+       "      </g>\n",
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+       "     <g id=\"text_6\">\n",
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@@ -3856,105 +4072,87 @@
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        "    <g id=\"ytick_1\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
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@@ -4250,7 +4445,29 @@
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        "    </g>\n",
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+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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        "     <!-- Date vaccinated -->\n",
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        "    <g id=\"ytick_1\">\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(108.976204 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -4610,7 +4806,7 @@
        "    <g id=\"xtick_3\">\n",
        "     <g id=\"line2d_3\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.385789\" xlink:href=\"#mb8001ba9c2\" y=\"224.64\"/>\n",
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        "     </g>\n",
        "     <g id=\"text_3\">\n",
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        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-56\"/>\n",
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        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#mb8001ba9c2\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"220.342191\" xlink:href=\"#mfa45e5615d\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_4\">\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -4658,12 +4854,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#mb8001ba9c2\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#mfa45e5615d\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -4673,7 +4869,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#mfa45e5615d\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
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+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -4702,15 +4920,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mae90e551b0\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m94f5e6800b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mae90e551b0\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m94f5e6800b\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -4718,72 +4936,88 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
+       "     <g id=\"line2d_8\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mae90e551b0\" y=\"171.067826\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 174.867045)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 181.169654)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mae90e551b0\" y=\"126.949565\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m94f5e6800b\" y=\"139.554783\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 130.748784)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 143.354001)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
+       "     <g id=\"line2d_10\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mae90e551b0\" y=\"82.831304\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 86.630523)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 105.538349)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
+       "     <g id=\"line2d_11\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mae90e551b0\" y=\"38.713043\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 42.512262)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 67.722697)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"ytick_6\">\n",
+       "     <g id=\"line2d_12\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m94f5e6800b\" y=\"26.107826\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_13\">\n",
+       "      <!-- 50 -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 10.796875 72.90625  L 49.515625 72.90625  L 49.515625 64.59375  L 19.828125 64.59375  L 19.828125 46.734375  Q 21.96875 47.46875 24.109375 47.828125  Q 26.265625 48.1875 28.421875 48.1875  Q 40.625 48.1875 47.75 41.5  Q 54.890625 34.8125 54.890625 23.390625  Q 54.890625 11.625 47.5625 5.09375  Q 40.234375 -1.421875 26.90625 -1.421875  Q 22.3125 -1.421875 17.546875 -0.640625  Q 12.796875 0.140625 7.71875 1.703125  L 7.71875 11.625  Q 12.109375 9.234375 16.796875 8.0625  Q 21.484375 6.890625 26.703125 6.890625  Q 35.15625 6.890625 40.078125 11.328125  Q 45.015625 15.765625 45.015625 23.390625  Q 45.015625 31 40.078125 35.4375  Q 35.15625 39.890625 26.703125 39.890625  Q 22.75 39.890625 18.8125 39.015625  Q 14.890625 38.140625 10.796875 36.28125  z \" id=\"DejaVuSans-53\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(20.878125 29.907045)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-53\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_14\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
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        "      <!-- 27 Feb -->\n",
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@@ -5079,7 +5310,29 @@
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        "    </g>\n",
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+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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        "     <!-- Date vaccinated -->\n",
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@@ -5485,7 +5734,29 @@
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-       "    <g id=\"text_6\">\n",
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+       "     <g id=\"text_6\">\n",
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-       "     <g transform=\"translate(167.108594 252.916563)scale(0.1 -0.1)\">\n",
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@@ -5514,88 +5785,87 @@
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        "    <g id=\"ytick_1\">\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "     <g id=\"text_8\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "     <g id=\"text_9\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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+       "### COVID vaccinations among 80+ population\n",
+       " ### by Age band"
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+       "      <!-- 09 Dec -->\n",
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-   "source": [
-    "chartlist = find_and_sort_filenames(foldername=\"figures\",\n",
-    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
-    "   \n",
-    "display(Markdown(\"## 80+ population\"))\n",
-    "for item in chartlist:\n",
-    "    show_chart(item)\n"
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-  {
-   "cell_type": "markdown",
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-   "source": [
-    "## Trends in vaccination rates of 70-79 population according to demographic/clinical features, cumulatively by day. <a name='charts70' />\n",
-    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**\n"
-   ]
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-    {
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-      "text/markdown": [
-       "## 70-79 population"
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-       "<IPython.core.display.Markdown object>"
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-     "data": {
-      "text/markdown": [
-       "### COVID vaccinations among 70-79 population\n",
-       " ### by Sex"
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-       "<IPython.core.display.Markdown object>"
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-       "### COVID vaccinations among 70-79 population\n",
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        "    </g>\n",
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-       "      </g>\n",
-       "     </g>\n",
+       "    <g id=\"line2d_36\">\n",
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        "    </g>\n",
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-       "      <!-- 07 Feb -->\n",
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-       "      </g>\n",
+       "    <g id=\"line2d_37\"/>\n",
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+       "     <!-- 30-34 -->\n",
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        "    </g>\n",
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      },
      "metadata": {},
      "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "chartlist = find_and_sort_filenames(foldername=\"figures\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "   \n",
+    "display(Markdown(\"## 80+ population\"))\n",
+    "for item in chartlist:\n",
+    "    show_chart(item)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Trends in vaccination rates of 70-79 population according to demographic/clinical features, cumulatively by day. <a name='charts70' />\n",
+    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## 70-79 population"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
        "### COVID vaccinations among 70-79 population\n",
-       " ### by Index of Multiple Deprivation (quintiles)"
+       " ### by Sex"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#mfde3070401\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m60318b756d\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -7501,7 +7303,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m60318b756d\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -7530,15 +7354,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m1e2896085e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"medad3af08c\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m1e2896085e\" y=\"215.186087\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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@@ -7546,72 +7370,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m1e2896085e\" y=\"170.334965\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m1e2896085e\" y=\"125.483842\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 129.283061)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m1e2896085e\" y=\"80.63272\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 39.580816)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 29.907045)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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        "### COVID vaccinations among 70-79 population\n",
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        "### COVID vaccinations among 70-79 population\n",
-       " ### by Dialysis"
+       " ### by Chronic cardiac disease"
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        "    <g id=\"ytick_3\">\n",
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        "### COVID vaccinations among 70-79 population\n",
-       " ### by Dementia"
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        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
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        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
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        "    <g id=\"xtick_5\">\n",
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        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
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@@ -9699,15 +9615,37 @@
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-       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
+       "    <g id=\"xtick_6\">\n",
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+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "     </defs>\n",
+       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
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@@ -9728,15 +9666,15 @@
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m0d636b340b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mc63bc14dcf\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0d636b340b\" y=\"215.186087\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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@@ -9744,72 +9682,105 @@
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        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0d636b340b\" y=\"168.571743\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "      <!-- 10 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0d636b340b\" y=\"121.9574\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
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        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 125.756619)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 155.959219)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0d636b340b\" y=\"75.343056\"/>\n",
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-       "     <g id=\"text_10\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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-       "     <g id=\"text_11\">\n",
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-       "      <g transform=\"translate(20.878125 32.527932)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"ytick_6\">\n",
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        "### COVID vaccinations among 70-79 population\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 243.037656)scale(0.1 -0.1)\">\n",
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        "      <!-- 27 Feb -->\n",
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        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
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+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
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-       "     <g transform=\"translate(167.108594 256.715781)scale(0.1 -0.1)\">\n",
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@@ -10134,112 +10124,142 @@
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
-       "      <g transform=\"translate(27.240625 222.784524)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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+       "      <g transform=\"translate(20.878125 190.623567)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mb68394226e\" y=\"135.790871\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "      </defs>\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
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        "      <!-- 40 -->\n",
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-       "      <g transform=\"translate(20.878125 56.395655)scale(0.1 -0.1)\">\n",
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        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_6\">\n",
-       "     <g id=\"line2d_11\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mb68394226e\" y=\"10.999219\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_12\">\n",
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        "      <!-- 50 -->\n",
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-       "      <g transform=\"translate(20.878125 14.798437)scale(0.1 -0.1)\">\n",
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        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_13\">\n",
+       "    <g id=\"ytick_7\">\n",
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        "     <!-- Percent vaccinated (cumulative) -->\n",
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       "text/markdown": [
        "### COVID vaccinations among 70-79 population\n",
-       " ### by Psychosis, schizophrenia, or bipolar"
+       " ### by Dementia"
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+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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        "     </g>\n",
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        "    <g id=\"ytick_3\">\n",
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-       "     <g id=\"text_9\">\n",
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        "### COVID vaccinations among 70-79 population\n",
-       " ### by SSRI (last 12 months)"
+       " ### by Learning disability"
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        "### COVID vaccinations among 70-79 population\n",
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        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -11325,12 +11395,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m5e4ee85776\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m42211350ca\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238438)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -11340,7 +11410,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m42211350ca\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
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+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
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        "     </defs>\n",
-       "     <g transform=\"translate(167.108594 252.916563)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-68\"/>\n",
        "      <use x=\"77.001953\" xlink:href=\"#DejaVuSans-97\"/>\n",
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@@ -11369,15 +11461,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m513748aebc\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mc66f29628e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m513748aebc\" y=\"215.186087\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -11385,72 +11477,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m513748aebc\" y=\"173.00709\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m513748aebc\" y=\"130.828094\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "      <!-- 30 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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-       "      <g transform=\"translate(20.878125 50.269319)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "    \n",
-    "display(Markdown(\"## 70-79 population\"))\n",
-    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"70-79\",\n",
-    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
-    "    \n",
-    "for item in chartlist2:\n",
-    "    show_chart(item)    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## \n",
-    "## Trends in vaccination rates of **shielding** population according to demographic/clinical features, cumulatively by day. <a name='charts_shield' />\n",
-    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/markdown": [
-       "## Shielding population (aged 16-69)"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
-       "### COVID vaccinations among shielding (aged 16-69) population\n",
-       " ### by newly shielded since feb 15"
+       "### COVID vaccinations among 70-79 population\n",
+       " ### by SSRI (last 12 months)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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        "      </defs>\n",
-       "      <g transform=\"translate(158.745167 239.238438)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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-       "     </g>\n",
-       "    </g>\n",
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-       "     <g id=\"text_5\">\n",
-       "      <!-- 21 Jan -->\n",
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-       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
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@@ -12022,21 +11793,22 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_6\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.460032\" xlink:href=\"#m9438b9ace4\" y=\"224.64\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_6\">\n",
-       "      <!-- 01 Feb -->\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
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-       "      <g transform=\"translate(236.385813 239.238438)scale(0.1 -0.1)\">\n",
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-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_7\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"292.987777\" xlink:href=\"#m9438b9ace4\" y=\"224.64\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.515522\" xlink:href=\"#m9438b9ace4\" y=\"224.64\"/>\n",
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-       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_9\">\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
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        "    <g id=\"ytick_1\">\n",
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        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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-       "### COVID vaccinations among shielding (aged 16-69) population\n",
-       " ### by Age band"
+       "### COVID vaccinations among 70-79 population\n",
+       " ### by 2nd dose"
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-       "      <!-- 10 Jan -->\n",
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-       "      <!-- 21 Jan -->\n",
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-       "      <!-- 01 Feb -->\n",
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     {
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-       "### COVID vaccinations among shielding (aged 16-69) population\n",
-       " ### by Sex"
+       "### COVID vaccinations among 70-79 population\n",
+       " ### by Age band"
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+       "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"292.987777\" xlink:href=\"#m230a47384e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m27229064ee\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
-       "      <!-- 11 Feb -->\n",
-       "      <g transform=\"translate(275.913558 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
        "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-70\"/>\n",
        "       <use x=\"216.474609\" xlink:href=\"#DejaVuSans-101\"/>\n",
@@ -13167,32 +12685,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.515522\" xlink:href=\"#m230a47384e\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m27229064ee\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
-       "      <!-- 22 Feb -->\n",
-       "      <g transform=\"translate(315.441303 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-70\"/>\n",
-       "       <use x=\"216.474609\" xlink:href=\"#DejaVuSans-101\"/>\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_9\">\n",
-       "     <g id=\"line2d_9\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"372.043267\" xlink:href=\"#m230a47384e\" y=\"224.64\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
+       "       <use x=\"245.3125\" xlink:href=\"#DejaVuSans-97\"/>\n",
+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_9\">\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -13221,15 +12736,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_10\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m817b345bbf\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mbd92771094\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mbd92771094\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -13237,130 +12752,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_11\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"190.763478\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_11\">\n",
-       "      <!-- 5 -->\n",
-       "      <defs>\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_12\">\n",
+       "     <g id=\"line2d_8\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"166.34087\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_12\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 170.140088)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 177.117977)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_13\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"141.918261\"/>\n",
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-       "      <!-- 15 -->\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_14\">\n",
+       "    <g id=\"ytick_3\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"117.495652\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_14\">\n",
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        "      <!-- 20 -->\n",
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        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"ytick_6\">\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_7\">\n",
-       "     <g id=\"line2d_16\">\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_10\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"68.650435\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mbd92771094\" y=\"89.584099\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_16\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 72.449654)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 93.383318)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-51\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"ytick_8\">\n",
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-       "      <!-- 35 -->\n",
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-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_9\">\n",
-       "     <g id=\"line2d_18\">\n",
+       "    <g id=\"ytick_5\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m817b345bbf\" y=\"19.805217\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_18\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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-       "      <g transform=\"translate(20.878125 23.604436)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 51.515989)scale(0.1 -0.1)\">\n",
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        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_19\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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-       "### COVID vaccinations among shielding (aged 16-69) population\n",
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+       "     <defs>\n",
+       "      <path d=\"M 33.015625 40.375  Q 26.375 40.375 22.484375 35.828125  Q 18.609375 31.296875 18.609375 23.390625  Q 18.609375 15.53125 22.484375 10.953125  Q 26.375 6.390625 33.015625 6.390625  Q 39.65625 6.390625 43.53125 10.953125  Q 47.40625 15.53125 47.40625 23.390625  Q 47.40625 31.296875 43.53125 35.828125  Q 39.65625 40.375 33.015625 40.375  z M 52.59375 71.296875  L 52.59375 62.3125  Q 48.875 64.0625 45.09375 64.984375  Q 41.3125 65.921875 37.59375 65.921875  Q 27.828125 65.921875 22.671875 59.328125  Q 17.53125 52.734375 16.796875 39.40625  Q 19.671875 43.65625 24.015625 45.921875  Q 28.375 48.1875 33.59375 48.1875  Q 44.578125 48.1875 50.953125 41.515625  Q 57.328125 34.859375 57.328125 23.390625  Q 57.328125 12.15625 50.6875 5.359375  Q 44.046875 -1.421875 33.015625 -1.421875  Q 20.359375 -1.421875 13.671875 8.265625  Q 6.984375 17.96875 6.984375 36.375  Q 6.984375 53.65625 15.1875 63.9375  Q 23.390625 74.21875 37.203125 74.21875  Q 40.921875 74.21875 44.703125 73.484375  Q 48.484375 72.75 52.59375 71.296875  z \" id=\"DejaVuSans-54\"/>\n",
+       "     </defs>\n",
+       "     <g transform=\"translate(429.143125 53.154687)scale(0.1 -0.1)\">\n",
+       "      <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n",
+       "      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-45\"/>\n",
+       "      <use x=\"163.330078\" xlink:href=\"#DejaVuSans-50\"/>\n",
+       "      <use x=\"226.953125\" xlink:href=\"#DejaVuSans-57\"/>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_3\">\n",
-       "     <g id=\"line2d_3\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"134.876797\" xlink:href=\"#m98da1a7ebf\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_3\">\n",
-       "      <!-- 29 Dec -->\n",
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-       "      </defs>\n",
-       "      <g transform=\"translate(117.249453 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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-       "       <use x=\"297.558594\" xlink:href=\"#DejaVuSans-99\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
+       "    <g id=\"line2d_35\">\n",
+       "     <path d=\"M 401.143125 64.332812  L 421.143125 64.332812  \" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"xtick_4\">\n",
-       "     <g id=\"line2d_4\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"174.404542\" xlink:href=\"#m98da1a7ebf\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_4\">\n",
-       "      <!-- 10 Jan -->\n",
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-       "       <path d=\"M 34.28125 27.484375  Q 23.390625 27.484375 19.1875 25  Q 14.984375 22.515625 14.984375 16.5  Q 14.984375 11.71875 18.140625 8.90625  Q 21.296875 6.109375 26.703125 6.109375  Q 34.1875 6.109375 38.703125 11.40625  Q 43.21875 16.703125 43.21875 25.484375  L 43.21875 27.484375  z M 52.203125 31.203125  L 52.203125 0  L 43.21875 0  L 43.21875 8.296875  Q 40.140625 3.328125 35.546875 0.953125  Q 30.953125 -1.421875 24.3125 -1.421875  Q 15.921875 -1.421875 10.953125 3.296875  Q 6 8.015625 6 15.921875  Q 6 25.140625 12.171875 29.828125  Q 18.359375 34.515625 30.609375 34.515625  L 43.21875 34.515625  L 43.21875 35.40625  Q 43.21875 41.609375 39.140625 45  Q 35.0625 48.390625 27.6875 48.390625  Q 23 48.390625 18.546875 47.265625  Q 14.109375 46.140625 10.015625 43.890625  L 10.015625 52.203125  Q 14.9375 54.109375 19.578125 55.046875  Q 24.21875 56 28.609375 56  Q 40.484375 56 46.34375 49.84375  Q 52.203125 43.703125 52.203125 31.203125  z \" id=\"DejaVuSans-97\"/>\n",
-       "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
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-       "      <g transform=\"translate(158.745167 239.238437)scale(0.1 -0.1)\">\n",
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-       "      </g>\n",
+       "    <g id=\"line2d_36\"/>\n",
+       "    <g id=\"text_18\">\n",
+       "     <!-- 30-34 -->\n",
+       "     <g transform=\"translate(429.143125 67.832812)scale(0.1 -0.1)\">\n",
+       "      <use xlink:href=\"#DejaVuSans-51\"/>\n",
+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
+       "      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-45\"/>\n",
+       "      <use x=\"163.330078\" xlink:href=\"#DejaVuSans-51\"/>\n",
+       "      <use x=\"226.953125\" xlink:href=\"#DejaVuSans-52\"/>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_5\">\n",
-       "     <g id=\"line2d_5\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"213.932287\" xlink:href=\"#m98da1a7ebf\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_5\">\n",
-       "      <!-- 21 Jan -->\n",
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-       "       <use x=\"188.525391\" xlink:href=\"#DejaVuSans-97\"/>\n",
-       "       <use x=\"249.804688\" xlink:href=\"#DejaVuSans-110\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
+       "    <g id=\"line2d_37\">\n",
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        "    </g>\n",
-       "    <g id=\"xtick_6\">\n",
-       "     <g id=\"line2d_6\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.460032\" xlink:href=\"#m98da1a7ebf\" y=\"224.64\"/>\n",
-       "      </g>\n",
+       "    <g id=\"line2d_38\"/>\n",
+       "    <g id=\"text_19\">\n",
+       "     <!-- 35-39 -->\n",
+       "     <g transform=\"translate(429.143125 82.510937)scale(0.1 -0.1)\">\n",
+       "      <use xlink:href=\"#DejaVuSans-51\"/>\n",
+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
+       "      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-45\"/>\n",
+       "      <use x=\"163.330078\" xlink:href=\"#DejaVuSans-51\"/>\n",
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        "     </g>\n",
-       "     <g id=\"text_6\">\n",
-       "      <!-- 01 Feb -->\n",
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-       "      </g>\n",
+       "    </g>\n",
+       "    <g id=\"line2d_39\">\n",
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+       "     <!-- 40-44 -->\n",
+       "     <g transform=\"translate(429.143125 97.189062)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_7\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "      </g>\n",
+       "    <g id=\"line2d_41\">\n",
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+       "    </g>\n",
+       "    <g id=\"line2d_42\"/>\n",
+       "    <g id=\"text_21\">\n",
+       "     <!-- 45-49 -->\n",
+       "     <g transform=\"translate(429.143125 111.867187)scale(0.1 -0.1)\">\n",
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+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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-       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-70\"/>\n",
-       "       <use x=\"216.474609\" xlink:href=\"#DejaVuSans-101\"/>\n",
-       "       <use x=\"277.998047\" xlink:href=\"#DejaVuSans-98\"/>\n",
-       "      </g>\n",
+       "    </g>\n",
+       "    <g id=\"line2d_43\">\n",
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+       "    </g>\n",
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+       "    <g id=\"text_22\">\n",
+       "     <!-- 50-54 -->\n",
+       "     <g transform=\"translate(429.143125 126.545312)scale(0.1 -0.1)\">\n",
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+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
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        "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "      </g>\n",
+       "    <g id=\"line2d_45\">\n",
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+       "    </g>\n",
+       "    <g id=\"line2d_46\"/>\n",
+       "    <g id=\"text_23\">\n",
+       "     <!-- 55-59 -->\n",
+       "     <g transform=\"translate(429.143125 141.223437)scale(0.1 -0.1)\">\n",
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+       "      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n",
+       "      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-45\"/>\n",
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        "     </g>\n",
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-       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-70\"/>\n",
-       "       <use x=\"216.474609\" xlink:href=\"#DejaVuSans-101\"/>\n",
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-       "      </g>\n",
+       "    </g>\n",
+       "    <g id=\"line2d_47\">\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "    \n",
+    "display(Markdown(\"## 70-79 population\"))\n",
+    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"70-79\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "    \n",
+    "for item in chartlist2:\n",
+    "    show_chart(item)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \n",
+    "## Trends in vaccination rates of **shielding** population according to demographic/clinical features, cumulatively by day. <a name='charts_shield' />\n",
+    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## Shielding population (aged 16-69)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among shielding (aged 16-69) population\n",
+       " ### by newly shielded since feb 15"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
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+       "      <!-- 10 -->\n",
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@@ -14137,79 +13766,20 @@
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        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"95.349052\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"128.288839\" xlink:href=\"#mbca78433f4\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_2\">\n",
-       "      <!-- 19 Dec -->\n",
-       "      <defs>\n",
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-       "      </defs>\n",
-       "      <g transform=\"translate(77.721708 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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-       "       <use x=\"297.558594\" xlink:href=\"#DejaVuSans-99\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_3\">\n",
-       "     <g id=\"line2d_3\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"134.876797\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_3\">\n",
-       "      <!-- 29 Dec -->\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_4\">\n",
-       "     <g id=\"line2d_4\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"174.404542\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_4\">\n",
-       "      <!-- 10 Jan -->\n",
+       "      <!-- 06 Jan -->\n",
        "      <defs>\n",
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        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(158.745167 239.238437)scale(0.1 -0.1)\">\n",
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-       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-74\"/>\n",
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-       "       <use x=\"249.804688\" xlink:href=\"#DejaVuSans-110\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_5\">\n",
-       "     <g id=\"line2d_5\">\n",
-       "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"213.932287\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_5\">\n",
-       "      <!-- 21 Jan -->\n",
-       "      <g transform=\"translate(198.272912 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
+       "      <g transform=\"translate(112.629464 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
        "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-74\"/>\n",
        "       <use x=\"188.525391\" xlink:href=\"#DejaVuSans-97\"/>\n",
@@ -14217,21 +13787,22 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_6\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "    <g id=\"xtick_3\">\n",
+       "     <g id=\"line2d_3\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.460032\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"200.756372\" xlink:href=\"#mbca78433f4\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_6\">\n",
-       "      <!-- 01 Feb -->\n",
+       "     <g id=\"text_3\">\n",
+       "      <!-- 02 Feb -->\n",
        "      <defs>\n",
+       "       <path d=\"M 19.1875 8.296875  L 53.609375 8.296875  L 53.609375 0  L 7.328125 0  L 7.328125 8.296875  Q 12.9375 14.109375 22.625 23.890625  Q 32.328125 33.6875 34.8125 36.53125  Q 39.546875 41.84375 41.421875 45.53125  Q 43.3125 49.21875 43.3125 52.78125  Q 43.3125 58.59375 39.234375 62.25  Q 35.15625 65.921875 28.609375 65.921875  Q 23.96875 65.921875 18.8125 64.3125  Q 13.671875 62.703125 7.8125 59.421875  L 7.8125 69.390625  Q 13.765625 71.78125 18.9375 73  Q 24.125 74.21875 28.421875 74.21875  Q 39.75 74.21875 46.484375 68.546875  Q 53.21875 62.890625 53.21875 53.421875  Q 53.21875 48.921875 51.53125 44.890625  Q 49.859375 40.875 45.40625 35.40625  Q 44.1875 33.984375 37.640625 27.21875  Q 31.109375 20.453125 19.1875 8.296875  z \" id=\"DejaVuSans-50\"/>\n",
        "       <path d=\"M 9.8125 72.90625  L 51.703125 72.90625  L 51.703125 64.59375  L 19.671875 64.59375  L 19.671875 43.109375  L 48.578125 43.109375  L 48.578125 34.8125  L 19.671875 34.8125  L 19.671875 0  L 9.8125 0  z \" id=\"DejaVuSans-70\"/>\n",
        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(236.385813 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(183.682153 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n",
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@@ -14239,17 +13810,17 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_7\">\n",
-       "     <g id=\"line2d_7\">\n",
+       "    <g id=\"xtick_4\">\n",
+       "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"292.987777\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"273.223904\" xlink:href=\"#mbca78433f4\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
-       "      <!-- 11 Feb -->\n",
-       "      <g transform=\"translate(275.913558 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 26 Feb -->\n",
+       "      <g transform=\"translate(256.149685 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n",
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        "       <use x=\"216.474609\" xlink:href=\"#DejaVuSans-101\"/>\n",
@@ -14257,32 +13828,30 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.515522\" xlink:href=\"#m19602de44c\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"345.691437\" xlink:href=\"#mbca78433f4\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
-       "      <!-- 22 Feb -->\n",
-       "      <g transform=\"translate(315.441303 239.238437)scale(0.1 -0.1)\">\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 24 Mar -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(328.30628 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n",
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+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_9\">\n",
-       "     <g id=\"line2d_9\">\n",
-       "      <g>\n",
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-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_9\">\n",
+       "    <g id=\"text_6\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
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@@ -14311,15 +13880,15 @@
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        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m211e5da28f\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m213caea06a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m211e5da28f\" y=\"215.186087\"/>\n",
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        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "    </g>\n",
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        "    <g id=\"ytick_3\">\n",
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-       "   <g id=\"text_16\">\n",
-       "    <!-- latest overall national* rate -->\n",
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-       "     <!-- 1 Most deprived -->\n",
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        "    </g>\n",
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-       "     <!-- 4 -->\n",
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        "    </g>\n",
+       "    <g id=\"line2d_29\"/>\n",
+       "    <g id=\"text_19\">\n",
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        "### COVID vaccinations among shielding (aged 16-69) population\n",
-       " ### by Learning disability"
+       " ### by Sex"
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        "      </defs>\n",
-       "      <g transform=\"translate(236.385813 239.238438)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(183.682153 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_7\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"292.987777\" xlink:href=\"#mc945246755\" y=\"224.64\"/>\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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+       "      <!-- 26 Feb -->\n",
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@@ -14818,32 +14343,30 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"332.515522\" xlink:href=\"#mc945246755\" y=\"224.64\"/>\n",
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-       "      <!-- 22 Feb -->\n",
-       "      <g transform=\"translate(315.441303 239.238438)scale(0.1 -0.1)\">\n",
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+       "      <!-- 24 Mar -->\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_9\">\n",
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-       "     <g id=\"text_10\">\n",
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        "    <g id=\"ytick_3\">\n",
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        "    <g id=\"ytick_4\">\n",
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        "    <g id=\"ytick_5\">\n",
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      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "    \n",
-    "display(Markdown(\"## Shielding population (aged 16-69)\"))\n",
-    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"shielding (aged 16-69)\",\n",
-    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
-    "    \n",
-    "for item in chartlist2:\n",
-    "    show_chart(item)    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## \n",
-    "## Trends in vaccination rates of 65-69 population according to demographic/clinical features, cumulatively by day. <a name='charts65' />\n",
-    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/markdown": [
-       "## 65-69 population"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
-       "### COVID vaccinations among 65-69 population\n",
-       " ### by Sex"
+       "### COVID vaccinations among shielding (aged 16-69) population\n",
+       " ### by Ethnicity (broad categories)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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        "      </defs>\n",
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+       "      <g transform=\"translate(183.682153 243.037656)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"xtick_4\">\n",
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        "      <g>\n",
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        "     <g id=\"text_4\">\n",
-       "      <!-- 07 Feb -->\n",
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+       "      <!-- 26 Feb -->\n",
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        "      <g>\n",
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-       "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
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-       "      <g transform=\"translate(20.878125 78.580849)scale(0.1 -0.1)\">\n",
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        "     <g id=\"text_11\">\n",
        "      <!-- 40 -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_6\">\n",
+       "     <g id=\"line2d_11\">\n",
+       "      <g>\n",
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+       "     <g id=\"text_12\">\n",
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-       "### COVID vaccinations among 65-69 population\n",
-       " ### by Ethnicity (broad categories)"
+       "### COVID vaccinations among shielding (aged 16-69) population\n",
+       " ### by Index of Multiple Deprivation (quintiles)"
       ],
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-       "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
-       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
+       "      <!-- 26 Feb -->\n",
+       "      <g transform=\"translate(256.149685 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n",
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@@ -15732,18 +15320,23 @@
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        "      <g>\n",
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        "     </g>\n",
        "     <g id=\"text_5\">\n",
-       "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <!-- 24 Mar -->\n",
+       "      <defs>\n",
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        "     </g>\n",
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        "      <defs>\n",
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@@ -15794,12 +15387,15 @@
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        "      <!-- 10 -->\n",
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-       "### COVID vaccinations among 65-69 population\n",
-       " ### by Index of Multiple Deprivation (quintiles)"
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        "     <g id=\"text_2\">\n",
-       "      <!-- 29 Dec -->\n",
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        "     <g id=\"text_3\">\n",
-       "      <!-- 18 Jan -->\n",
+       "      <!-- 02 Feb -->\n",
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-       "      <!-- 07 Feb -->\n",
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@@ -16239,18 +15816,23 @@
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-       "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <!-- 24 Mar -->\n",
+       "      <defs>\n",
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        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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-       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
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        "      <!-- 0 -->\n",
-       "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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+       "      <!-- 5 -->\n",
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+       "      <!-- 10 -->\n",
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        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_10\">\n",
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+       "    </g>\n",
+       "    <g id=\"ytick_5\">\n",
+       "     <g id=\"line2d_10\">\n",
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+       "    </g>\n",
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        "    </g>\n",
-       "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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      },
      "metadata": {},
      "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "    \n",
+    "display(Markdown(\"## Shielding population (aged 16-69)\"))\n",
+    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"shielding (aged 16-69)\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "    \n",
+    "for item in chartlist2:\n",
+    "    show_chart(item)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \n",
+    "## Trends in vaccination rates of 65-69 population according to demographic/clinical features, cumulatively by day. <a name='charts65' />\n",
+    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## 65-69 population"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
        "### COVID vaccinations among 65-69 population\n",
-       " ### by BMI"
+       " ### by Sex"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-56\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -16716,7 +16295,7 @@
        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m9da9fce777\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"220.342191\" xlink:href=\"#m019b4871a7\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_4\">\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -16739,12 +16318,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m9da9fce777\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m019b4871a7\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -16754,7 +16333,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m019b4871a7\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
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+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -16783,15 +16384,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"maadb3bd913\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m65722a943b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#maadb3bd913\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m65722a943b\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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@@ -16799,72 +16400,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#maadb3bd913\" y=\"169.546507\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 173.345725)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 173.11058)scale(0.1 -0.1)\">\n",
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        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#maadb3bd913\" y=\"123.906927\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 127.706145)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#maadb3bd913\" y=\"78.267346\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      <g>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 36.426985)scale(0.1 -0.1)\">\n",
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        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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       "text/markdown": [
        "### COVID vaccinations among 65-69 population\n",
-       " ### by Chronic cardiac disease"
+       " ### by Ethnicity (broad categories)"
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        "### COVID vaccinations among 65-69 population\n",
-       " ### by Current COPD"
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
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        "     </defs>\n",
-       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(167.108594 253.564477)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-68\"/>\n",
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
-       "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m3e5e875870\" y=\"168.678934\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
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        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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-       "     <g id=\"text_11\">\n",
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        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"ytick_6\">\n",
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+       "     <g id=\"text_13\">\n",
+       "      <!-- 50 -->\n",
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        "     <!-- Percent vaccinated (cumulative) -->\n",
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        "### COVID vaccinations among 65-69 population\n",
-       " ### by Dementia"
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        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m0fd05d9365\" y=\"224.64\"/>\n",
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        "     </g>\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
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        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m0fd05d9365\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#md812a8441a\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -17995,7 +17807,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#md812a8441a\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -18024,15 +17858,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m53dae9ef56\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m30531e7fc3\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m53dae9ef56\" y=\"215.186087\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -18040,72 +17874,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m53dae9ef56\" y=\"168.454549\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 172.253768)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 173.606523)scale(0.1 -0.1)\">\n",
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        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m53dae9ef56\" y=\"121.723012\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m53dae9ef56\" y=\"74.991474\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 78.790693)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 32.059155)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 37.470175)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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       "text/markdown": [
        "### COVID vaccinations among 65-69 population\n",
-       " ### by Learning disability"
+       " ### by Chronic cardiac disease"
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-       "     <g id=\"text_10\">\n",
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        "      <!-- 30 -->\n",
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        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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-       "     <g id=\"text_11\">\n",
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        "      <!-- 40 -->\n",
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-       "      <g transform=\"translate(20.878125 42.512262)scale(0.1 -0.1)\">\n",
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-       "     <!-- Percent vaccinated (cumulative) -->\n",
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+       "      <!-- 50 -->\n",
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       "text/markdown": [
        "### COVID vaccinations among 65-69 population\n",
-       " ### by Psychosis, schizophrenia, or bipolar"
+       " ### by Current COPD"
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        "### COVID vaccinations among 65-69 population\n",
-       " ### by SSRI (last 12 months)"
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        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -19198,12 +19118,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m2bc12b7387\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m886ea12aa7\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238438)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -19213,7 +19133,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m886ea12aa7\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238438)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
+       "       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-77\"/>\n",
+       "       <use x=\"245.3125\" xlink:href=\"#DejaVuSans-97\"/>\n",
+       "       <use x=\"306.591797\" xlink:href=\"#DejaVuSans-114\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -19221,7 +19163,7 @@
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        "     </defs>\n",
-       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(167.108594 252.916563)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-68\"/>\n",
        "      <use x=\"77.001953\" xlink:href=\"#DejaVuSans-97\"/>\n",
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@@ -19242,15 +19184,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m6e262a50aa\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m16670186da\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m6e262a50aa\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m16670186da\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -19258,72 +19200,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
+       "     <g id=\"line2d_8\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m6e262a50aa\" y=\"168.454549\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
-       "      <g transform=\"translate(20.878125 172.253768)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 172.981225)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m6e262a50aa\" y=\"121.723012\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m16670186da\" y=\"123.177925\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
-       "      <g transform=\"translate(20.878125 125.52223)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 126.977144)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m6e262a50aa\" y=\"74.991474\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
+       "     <g id=\"text_11\">\n",
        "      <!-- 30 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 78.790693)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 80.973063)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
+       "     <g id=\"line2d_11\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m6e262a50aa\" y=\"28.259936\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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        "      </defs>\n",
-       "      <g transform=\"translate(20.878125 32.059155)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 34.968983)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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      },
      "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "    \n",
-    "display(Markdown(\"## 65-69 population\"))\n",
-    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"65-69\",\n",
-    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
-    "    \n",
-    "for item in chartlist2:\n",
-    "    show_chart(item)    "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## \n",
-    "## Trends in vaccination rates of 60-64 population according to demographic/clinical features, cumulatively by day. <a name='charts60' />\n",
-    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/markdown": [
-       "## 60-64 population"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
-       "### COVID vaccinations among 60-64 population\n",
-       " ### by Sex"
+       "### COVID vaccinations among 65-69 population\n",
+       " ### by Learning disability"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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-       "### COVID vaccinations among 60-64 population\n",
-       " ### by Ethnicity (broad categories)"
+       "### COVID vaccinations among 65-69 population\n",
+       " ### by Psychosis, schizophrenia, or bipolar"
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-       "### COVID vaccinations among 60-64 population\n",
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        "       <path d=\"M 54.890625 33.015625  L 54.890625 0  L 45.90625 0  L 45.90625 32.71875  Q 45.90625 40.484375 42.875 44.328125  Q 39.84375 48.1875 33.796875 48.1875  Q 26.515625 48.1875 22.3125 43.546875  Q 18.109375 38.921875 18.109375 30.90625  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 21.34375 51.125 25.703125 53.5625  Q 30.078125 56 35.796875 56  Q 45.21875 56 50.046875 50.171875  Q 54.890625 44.34375 54.890625 33.015625  z \" id=\"DejaVuSans-110\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
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        "    <g id=\"xtick_4\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m9e6531fa56\" y=\"224.64\"/>\n",
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        "      </g>\n",
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        "     <g id=\"text_4\">\n",
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        "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
        "      </defs>\n",
-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -21051,12 +20862,12 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m9e6531fa56\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"275.182486\" xlink:href=\"#m4e98c8d418\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
        "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
@@ -21066,7 +20877,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"330.022781\" xlink:href=\"#m4e98c8d418\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
+       "       <path d=\"M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z \" id=\"DejaVuSans-77\"/>\n",
+       "       <path d=\"M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z \" id=\"DejaVuSans-114\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
        "     <defs>\n",
        "      <path d=\"M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z \" id=\"DejaVuSans-116\"/>\n",
@@ -21095,15 +20928,15 @@
        "   </g>\n",
        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
+       "     <g id=\"line2d_7\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m95a30e3925\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mb14ea2767a\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m95a30e3925\" y=\"215.186087\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mb14ea2767a\" y=\"215.186087\"/>\n",
        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_7\">\n",
+       "     <g id=\"text_8\">\n",
        "      <!-- 0 -->\n",
        "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
@@ -21111,72 +20944,71 @@
        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_7\">\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m95a30e3925\" y=\"167.54578\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_8\">\n",
+       "     <g id=\"text_9\">\n",
        "      <!-- 10 -->\n",
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+       "      <g transform=\"translate(20.878125 175.351861)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
+       "     <g id=\"line2d_9\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m95a30e3925\" y=\"119.905473\"/>\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_9\">\n",
+       "     <g id=\"text_10\">\n",
        "      <!-- 20 -->\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_10\">\n",
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        "      <!-- 30 -->\n",
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        "      </defs>\n",
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+       "      <g transform=\"translate(20.878125 88.084971)scale(0.1 -0.1)\">\n",
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        "     </g>\n",
        "    </g>\n",
        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "      </g>\n",
        "     </g>\n",
-       "     <g id=\"text_11\">\n",
+       "     <g id=\"text_12\">\n",
        "      <!-- 40 -->\n",
        "      <defs>\n",
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-       "      <g transform=\"translate(20.878125 28.424078)scale(0.1 -0.1)\">\n",
+       "      <g transform=\"translate(20.878125 44.451526)scale(0.1 -0.1)\">\n",
        "       <use xlink:href=\"#DejaVuSans-52\"/>\n",
        "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_12\">\n",
+       "    <g id=\"text_13\">\n",
        "     <!-- Percent vaccinated (cumulative) -->\n",
        "     <defs>\n",
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      },
      "metadata": {},
      "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "    \n",
+    "display(Markdown(\"## 65-69 population\"))\n",
+    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"65-69\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "    \n",
+    "for item in chartlist2:\n",
+    "    show_chart(item)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \n",
+    "## Trends in vaccination rates of 60-64 population according to demographic/clinical features, cumulatively by day. <a name='charts60' />\n",
+    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## 60-64 population"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
       "text/markdown": [
        "### COVID vaccinations among 60-64 population\n",
-       " ### by Chronic cardiac disease"
+       " ### by Sex"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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        "     <!-- Date vaccinated -->\n",
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        "### COVID vaccinations among 60-64 population\n",
-       " ### by Current COPD"
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Index of Multiple Deprivation (quintiles)"
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-       "      <g transform=\"translate(108.976204 239.238437)scale(0.1 -0.1)\">\n",
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-       "      <g transform=\"translate(181.726414 239.238437)scale(0.1 -0.1)\">\n",
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-       "      <g transform=\"translate(251.093811 239.238437)scale(0.1 -0.1)\">\n",
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        "     <g id=\"text_5\">\n",
        "      <!-- 27 Feb -->\n",
-       "      <g transform=\"translate(321.876052 239.238437)scale(0.1 -0.1)\">\n",
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@@ -22338,7 +22282,29 @@
        "      </g>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"text_6\">\n",
+       "    <g id=\"xtick_6\">\n",
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+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
        "     <!-- Date vaccinated -->\n",
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        "   <g id=\"matplotlib.axis_2\">\n",
        "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_6\">\n",
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        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"mc038f66030\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#mc038f66030\" y=\"215.186087\"/>\n",
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        "     </g>\n",
-       "     <g id=\"text_7\">\n",
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@@ -22383,120 +22349,71 @@
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        "    <g id=\"ytick_2\">\n",
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        "     </g>\n",
-       "     <g id=\"text_8\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_8\">\n",
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-       "     <g id=\"text_9\">\n",
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        "    </g>\n",
        "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_9\">\n",
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        "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_10\">\n",
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        "### COVID vaccinations among 60-64 population\n",
-       " ### by Psychosis, schizophrenia, or bipolar"
+       " ### by BMI"
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       "text/markdown": [
        "### COVID vaccinations among 60-64 population\n",
-       " ### by SSRI (last 12 months)"
+       " ### by Chronic cardiac disease"
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      "metadata": {},
      "output_type": "display_data"
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-   "source": [
-    "display(Markdown(\"## 60-64 population\"))\n",
-    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"60-64\",\n",
-    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
-    "    \n",
-    "for item in chartlist2:\n",
-    "    show_chart(item)    "
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-   "metadata": {},
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-    "# \n",
-    "## Vaccination rates of each eligible population group, according to demographic/clinical features  <a name='tables' />"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
+    },
     {
      "data": {
       "text/markdown": [
-       "## \n",
-       " ## Cumulative vaccination figures among 80+ population \n",
-       " Please refer to footnotes below table for information."
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Current COPD"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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     },
     {
      "data": {
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-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
-       "      <th>Total eligible</th>\n",
-       "      <th>Previous week's vaccination coverage (%)</th>\n",
-       "      <th>Vaccinated over last 7d (%)</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Category</th>\n",
-       "      <th>Group</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>881</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>2114</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>462</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>1106</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>4.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>420</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>1008</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16-29</th>\n",
-       "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-34</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>5.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-44</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
-       "    </tr>\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
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+       "     <!-- Percent vaccinated (cumulative) -->\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Dementia"
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+       "      </defs>\n",
+       "      <g transform=\"translate(38.193963 239.238437)scale(0.1 -0.1)\">\n",
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+       "       <use x=\"297.558594\" xlink:href=\"#DejaVuSans-99\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_2\">\n",
+       "     <g id=\"line2d_2\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"110.661602\" xlink:href=\"#mf950099a68\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_2\">\n",
+       "      <!-- 29 Dec -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_3\">\n",
+       "     <g id=\"line2d_3\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_3\">\n",
+       "      <!-- 18 Jan -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
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+       "       <use x=\"249.804688\" xlink:href=\"#DejaVuSans-110\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_4\">\n",
+       "     <g id=\"line2d_4\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
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+       "      </g>\n",
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+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
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+       "      <!-- 19 Mar -->\n",
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+       "     <!-- Date vaccinated -->\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Psychosis, schizophrenia, or bipolar"
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+       "      <!-- 07 Feb -->\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by SSRI (last 12 months)"
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+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_6\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"matplotlib.axis_2\">\n",
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+       "     <g id=\"text_8\">\n",
+       "      <!-- 0 -->\n",
+       "      <g transform=\"translate(27.240625 218.985306)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_2\">\n",
+       "     <g id=\"line2d_8\">\n",
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+       "     <g id=\"text_9\">\n",
+       "      <!-- 10 -->\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
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+       "      <!-- 20 -->\n",
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+       "    </g>\n",
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+       "      <g transform=\"translate(20.878125 76.793343)scale(0.1 -0.1)\">\n",
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+       "      <!-- 40 -->\n",
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+       "      <g transform=\"translate(20.878125 29.396023)scale(0.1 -0.1)\">\n",
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+       "    <g id=\"text_13\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by 2nd dose"
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_2\">\n",
+       "     <g id=\"line2d_2\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_2\">\n",
+       "      <!-- 29 Dec -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
+       "    <g id=\"xtick_3\">\n",
+       "     <g id=\"line2d_3\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_3\">\n",
+       "      <!-- 18 Jan -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
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+       "      </g>\n",
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+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
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+       "      <!-- 19 Mar -->\n",
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+       "     <!-- Date vaccinated -->\n",
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+   "source": [
+    "display(Markdown(\"## 60-64 population\"))\n",
+    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"60-64\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "    \n",
+    "for item in chartlist2:\n",
+    "    show_chart(item)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## \n",
+    "## Trends in vaccination rates of 55-59 population according to demographic/clinical features, cumulatively by day. <a name='charts55' />\n",
+    "**\\*National rate calculated as at latest date for vaccinations recorded across all TPP practices.**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## 55-59 population"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Sex"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
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+       "      <!-- 09 Dec -->\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(38.193963 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_2\">\n",
+       "     <g id=\"line2d_2\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_2\">\n",
+       "      <!-- 29 Dec -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_3\">\n",
+       "     <g id=\"line2d_3\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_3\">\n",
+       "      <!-- 18 Jan -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_4\">\n",
+       "     <g id=\"line2d_4\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_6\">\n",
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+       "      <!-- 19 Mar -->\n",
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+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
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+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Ethnicity (broad categories)"
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+       "      <!-- 07 Feb -->\n",
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+       "      <!-- 27 Feb -->\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Index of Multiple Deprivation (quintiles)"
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+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "     <!-- Percent vaccinated (cumulative) -->\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 55-59 population\n",
+       " ### by BMI"
+      ],
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+       "<IPython.core.display.Markdown object>"
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+       "      </defs>\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_4\">\n",
+       "     <g id=\"line2d_4\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
+       "      <g transform=\"translate(258.108267 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "     </defs>\n",
+       "     <g transform=\"translate(167.108594 252.916562)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"matplotlib.axis_2\">\n",
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+       "     </g>\n",
+       "     <g id=\"text_8\">\n",
+       "      <!-- 0 -->\n",
+       "      <g transform=\"translate(27.240625 220.45641)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_2\">\n",
+       "     <g id=\"line2d_8\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_9\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 174.756659)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_3\">\n",
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+       "      <!-- 20 -->\n",
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+       "    </g>\n",
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+       "      <!-- 30 -->\n",
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+       "      <g transform=\"translate(20.878125 83.357157)scale(0.1 -0.1)\">\n",
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+       "     <g id=\"text_12\">\n",
+       "      <!-- 40 -->\n",
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+       "      <g transform=\"translate(20.878125 37.657407)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_13\">\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Chronic cardiac disease"
+      ],
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+       "<IPython.core.display.Markdown object>"
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+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "       <path d=\"M 9.8125 72.90625  L 51.703125 72.90625  L 51.703125 64.59375  L 19.671875 64.59375  L 19.671875 43.109375  L 48.578125 43.109375  L 48.578125 34.8125  L 19.671875 34.8125  L 19.671875 0  L 9.8125 0  z \" id=\"DejaVuSans-70\"/>\n",
+       "       <path d=\"M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z \" id=\"DejaVuSans-98\"/>\n",
+       "      </defs>\n",
+       "      <g transform=\"translate(203.267973 239.238438)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-48\"/>\n",
+       "       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n",
+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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+       "       <use x=\"277.998047\" xlink:href=\"#DejaVuSans-98\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
+       "      <g transform=\"translate(258.108267 239.238438)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_6\">\n",
+       "     <g id=\"line2d_6\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_6\">\n",
+       "      <!-- 19 Mar -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(312.637625 239.238438)scale(0.1 -0.1)\">\n",
+       "       <use xlink:href=\"#DejaVuSans-49\"/>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_7\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "     </defs>\n",
+       "     <g transform=\"translate(167.108594 252.916563)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"matplotlib.axis_2\">\n",
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+       "     </g>\n",
+       "     <g id=\"text_8\">\n",
+       "      <!-- 0 -->\n",
+       "      <g transform=\"translate(27.240625 218.998066)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_2\">\n",
+       "     <g id=\"line2d_8\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_9\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 173.434244)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_3\">\n",
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+       "      <g>\n",
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+       "     </g>\n",
+       "     <g id=\"text_10\">\n",
+       "      <!-- 20 -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_10\">\n",
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+       "      <!-- 30 -->\n",
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+       "      <g transform=\"translate(20.878125 82.3066)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
+       "    <g id=\"ytick_5\">\n",
+       "     <g id=\"line2d_11\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_12\">\n",
+       "      <!-- 40 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 36.742778)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_13\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Current COPD"
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+       "      <g transform=\"translate(38.193963 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_2\">\n",
+       "     <g id=\"line2d_2\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_2\">\n",
+       "      <!-- 29 Dec -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(93.034258 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_3\">\n",
+       "     <g id=\"line2d_3\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_3\">\n",
+       "      <!-- 18 Jan -->\n",
+       "      <defs>\n",
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+       "      </defs>\n",
+       "      <g transform=\"translate(149.842521 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_4\">\n",
+       "      <!-- 07 Feb -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(203.267973 239.238437)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"xtick_5\">\n",
+       "     <g id=\"line2d_5\">\n",
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+       "      </g>\n",
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+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
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+       "     <!-- Date vaccinated -->\n",
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+       "### COVID vaccinations among 55-59 population\n",
+       " ### by Psychosis, schizophrenia, or bipolar"
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+       "      <!-- 29 Dec -->\n",
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+       "      <!-- 18 Jan -->\n",
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+       "      <!-- 07 Feb -->\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 55-59 population\n",
+       " ### by SSRI (last 12 months)"
+      ],
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+       "<IPython.core.display.Markdown object>"
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(Markdown(\"## 55-59 population\"))\n",
+    "chartlist2 = find_and_sort_filenames(foldername=\"figures\", population_subset=\"55-59\",\n",
+    "                                        files_to_exclude=[\"Cumulative vaccination figures.svg\"])\n",
+    "    \n",
+    "for item in chartlist2:\n",
+    "    show_chart(item)    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# \n",
+    "## Vaccination rates of each eligible population group, according to demographic/clinical features  <a name='tables' />"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## \n",
+       " ## Cumulative vaccination figures among 80+ population \n",
+       " Please refer to footnotes below table for information."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
+       "      <th>Total eligible</th>\n",
+       "      <th>Previous week's vaccination coverage (%)</th>\n",
+       "      <th>Vaccinated over last 7d (%)</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Category</th>\n",
+       "      <th>Group</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>851</td>\n",
+       "      <td>40.1</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
+       "      <td>455</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>1106</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>399</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>1015</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
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-       "      <th>45-49</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
+       "      <th>0</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0-15</th>\n",
+       "      <td>56</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>147</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>5.6</td>\n",
+       "      <td>4.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50-54</th>\n",
+       "      <th>16-29</th>\n",
        "      <td>56</td>\n",
        "      <td>40.0</td>\n",
        "      <td>140</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <td>40.0</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
-       "      <th>55-59</th>\n",
+       "      <th>30-34</th>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>133</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35-39</th>\n",
+       "      <td>35</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>126</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40-44</th>\n",
        "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>119</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>5.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45-49</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
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+       "    <tr>\n",
+       "      <th>50-54</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>55-59</th>\n",
+       "      <td>49</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>126</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>5.6</td>\n",
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        "      <th>60-64</th>\n",
        "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
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        "      <th>65-69</th>\n",
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        "    <tr>\n",
        "      <th>70-74</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
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        "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
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        "      <td>4.8</td>\n",
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        "    <tr>\n",
        "      <th>75-79</th>\n",
        "      <td>56</td>\n",
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-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>56</td>\n",
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+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
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        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
@@ -23731,159 +29574,135 @@
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        "      <td>63</td>\n",
-       "      <td>47.4</td>\n",
-       "      <td>133</td>\n",
-       "      <td>47.4</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>5.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
        "      <th>Black</th>\n",
-       "      <td>154</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>371</td>\n",
-       "      <td>39.6</td>\n",
+       "      <td>140</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>385</td>\n",
+       "      <td>34.5</td>\n",
        "      <td>1.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>147</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>371</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>350</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>161</td>\n",
-       "      <td>44.2</td>\n",
-       "      <td>364</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>140</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>357</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>1.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>147</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>357</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.9</td>\n",
+       "      <td>161</td>\n",
+       "      <td>41.8</td>\n",
+       "      <td>385</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>133</td>\n",
-       "      <td>44.2</td>\n",
-       "      <td>301</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>4.7</td>\n",
+       "      <td>119</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>308</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>147</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>336</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
+       "      <td>42</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
+       "      <td>42</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>7.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>112</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>63</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>53.3</td>\n",
-       "      <td>6.7</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>8.4</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
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+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
        "      <td>133</td>\n",
        "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Irish</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other Black</th>\n",
-       "      <td>35</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>6.6</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other White</th>\n",
+       "      <th>Irish</th>\n",
        "      <td>35</td>\n",
        "      <td>33.3</td>\n",
        "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>6.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other mixed</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>29.4</td>\n",
-       "      <td>11.8</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <th>Other Black</th>\n",
        "      <td>56</td>\n",
        "      <td>50.0</td>\n",
        "      <td>112</td>\n",
@@ -23891,230 +29710,254 @@
        "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
+       "      <th>Other White</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>133</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>315</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>42</td>\n",
        "      <td>40.0</td>\n",
-       "      <td>2.2</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>35</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>98</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>7.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>119</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>294</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>4.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>112</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>119</td>\n",
-       "      <td>29.4</td>\n",
-       "      <td>5.9</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
        "      <th>1 Most deprived</th>\n",
        "      <td>168</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>392</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>5.4</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>427</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>161</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>392</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>168</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>399</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>1.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>175</td>\n",
-       "      <td>44.6</td>\n",
-       "      <td>392</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>43.1</td>\n",
+       "      <td>406</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>168</td>\n",
        "      <td>42.1</td>\n",
        "      <td>399</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>161</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>399</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>5.3</td>\n",
+       "      <td>147</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>385</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>3.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
+       "      <td>28</td>\n",
+       "      <td>26.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>26.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
        "      <th>30+</th>\n",
-       "      <td>273</td>\n",
-       "      <td>43.3</td>\n",
-       "      <td>630</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>259</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>665</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>609</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>1484</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>4.2</td>\n",
+       "      <td>595</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>1456</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.1</td>\n",
        "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Dialysis</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>2086</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>33.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>2065</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.1</td>\n",
+       "      <td>826</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>14.3</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -24127,28 +29970,28 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>33.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -24161,35 +30004,35 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.1</td>\n",
        "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>33.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>2086</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -24197,389 +30040,389 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                   881   \n",
-       "Sex                                       F                                                         462   \n",
-       "                                          M                                                         420   \n",
+       "overall                                   overall                                                   851   \n",
+       "Sex                                       F                                                         455   \n",
+       "                                          M                                                         399   \n",
        "Age band                                  0                                                          56   \n",
        "                                          0-15                                                       56   \n",
        "                                          16-29                                                      56   \n",
-       "                                          30-34                                                      63   \n",
-       "                                          35-39                                                      56   \n",
-       "                                          40-44                                                      56   \n",
-       "                                          45-49                                                      49   \n",
+       "                                          30-34                                                      49   \n",
+       "                                          35-39                                                      35   \n",
+       "                                          40-44                                                      42   \n",
+       "                                          45-49                                                      56   \n",
        "                                          50-54                                                      56   \n",
-       "                                          55-59                                                      42   \n",
+       "                                          55-59                                                      49   \n",
        "                                          60-64                                                      49   \n",
-       "                                          65-69                                                      56   \n",
-       "                                          70-74                                                      56   \n",
+       "                                          65-69                                                      70   \n",
+       "                                          70-74                                                      63   \n",
        "                                          75-79                                                      56   \n",
-       "                                          80-84                                                      63   \n",
+       "                                          80-84                                                      56   \n",
        "                                          85-89                                                      49   \n",
        "                                          90+                                                        63   \n",
-       "Ethnicity (broad categories)              Black                                                     154   \n",
-       "                                          Mixed                                                     147   \n",
-       "                                          Other                                                     161   \n",
-       "                                          South Asian                                               147   \n",
-       "                                          Unknown                                                   133   \n",
-       "                                          White                                                     140   \n",
-       "ethnicity 16 groups                        African                                                   42   \n",
-       "                                           Bangladeshi or British Bangladeshi                        49   \n",
-       "                                           Caribbean                                                 56   \n",
-       "                                           Chinese                                                   49   \n",
-       "                                           Other                                                     63   \n",
-       "                                           Other Asian                                               56   \n",
-       "                                          British or Mixed British                                   35   \n",
-       "                                          Indian or British Indian                                   56   \n",
-       "                                          Irish                                                      49   \n",
-       "                                          Other Black                                                35   \n",
-       "                                          Other White                                                35   \n",
-       "                                          Other mixed                                                49   \n",
-       "                                          Pakistani or British Pakistani                             56   \n",
-       "                                          Unknown                                                   133   \n",
-       "                                          White + Asian                                              49   \n",
-       "                                          White + Black African                                      42   \n",
-       "                                          White + Black Caribbean                                    49   \n",
+       "Ethnicity (broad categories)              Black                                                     140   \n",
+       "                                          Mixed                                                     140   \n",
+       "                                          Other                                                     140   \n",
+       "                                          South Asian                                               161   \n",
+       "                                          Unknown                                                   119   \n",
+       "                                          White                                                     147   \n",
+       "ethnicity 16 groups                        African                                                   56   \n",
+       "                                           Bangladeshi or British Bangladeshi                        42   \n",
+       "                                           Caribbean                                                 42   \n",
+       "                                           Chinese                                                   42   \n",
+       "                                           Other                                                     49   \n",
+       "                                           Other Asian                                               49   \n",
+       "                                          British or Mixed British                                   49   \n",
+       "                                          Indian or British Indian                                   49   \n",
+       "                                          Irish                                                      35   \n",
+       "                                          Other Black                                                56   \n",
+       "                                          Other White                                                56   \n",
+       "                                          Other mixed                                                42   \n",
+       "                                          Pakistani or British Pakistani                             35   \n",
+       "                                          Unknown                                                   119   \n",
+       "                                          White + Asian                                              42   \n",
+       "                                          White + Black African                                      56   \n",
+       "                                          White + Black Caribbean                                    42   \n",
        "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           168   \n",
-       "                                          2                                                         161   \n",
+       "                                          2                                                         168   \n",
        "                                          3                                                         175   \n",
        "                                          4                                                         168   \n",
-       "                                          5 Least deprived                                          161   \n",
-       "                                          Unknown                                                    49   \n",
-       "BMI                                       30+                                                       273   \n",
-       "                                          under 30                                                  609   \n",
-       "Chronic cardiac disease                   no                                                        875   \n",
-       "                                          yes                                                         0   \n",
-       "Current COPD                              no                                                        875   \n",
-       "                                          yes                                                         7   \n",
-       "Dialysis                                  no                                                        868   \n",
-       "                                          yes                                                        14   \n",
-       "DMARDs                                    no                                                        875   \n",
-       "                                          yes                                                         7   \n",
-       "Dementia                                  no                                                        875   \n",
+       "                                          5 Least deprived                                          147   \n",
+       "                                          Unknown                                                    28   \n",
+       "BMI                                       30+                                                       259   \n",
+       "                                          under 30                                                  595   \n",
+       "Chronic cardiac disease                   no                                                        840   \n",
        "                                          yes                                                         7   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                        875   \n",
+       "Current COPD                              no                                                        847   \n",
+       "                                          yes                                                         0   \n",
+       "Dialysis                                  no                                                        840   \n",
        "                                          yes                                                         7   \n",
-       "Learning disability                       no                                                        861   \n",
+       "DMARDs                                    no                                                        847   \n",
+       "                                          yes                                                         0   \n",
+       "Dementia                                  no                                                        847   \n",
+       "                                          yes                                                         0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                        847   \n",
+       "                                          yes                                                         0   \n",
+       "Learning disability                       no                                                        826   \n",
        "                                          yes                                                        21   \n",
-       "SSRI (last 12 months)                     no                                                        875   \n",
-       "                                          yes                                                         7   \n",
-       "Chemo or radiotherapy                     no                                                        875   \n",
+       "SSRI (last 12 months)                     no                                                        840   \n",
        "                                          yes                                                         7   \n",
-       "Cancer (lung)                             no                                                        875   \n",
+       "Chemo or radiotherapy                     no                                                        847   \n",
        "                                          yes                                                         0   \n",
-       "Cancer (excluding lung/haem)              no                                                        875   \n",
+       "Cancer (lung)                             no                                                        847   \n",
+       "                                          yes                                                         0   \n",
+       "Cancer (excluding lung/haem)              no                                                        840   \n",
        "                                          yes                                                         7   \n",
-       "Cancer (haematological)                   no                                                        868   \n",
-       "                                          yes                                                        14   \n",
+       "Cancer (haematological)                   no                                                        847   \n",
+       "                                          yes                                                         0   \n",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
+       "                                                                               Vaccinated at 30 Mar (%)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  41.7   \n",
-       "Sex                                       F                                                        41.8   \n",
-       "                                          M                                                        41.7   \n",
-       "Age band                                  0                                                        40.0   \n",
-       "                                          0-15                                                     44.4   \n",
-       "                                          16-29                                                    44.4   \n",
-       "                                          30-34                                                    45.0   \n",
-       "                                          35-39                                                    42.1   \n",
-       "                                          40-44                                                    38.1   \n",
-       "                                          45-49                                                    38.9   \n",
-       "                                          50-54                                                    40.0   \n",
-       "                                          55-59                                                    37.5   \n",
-       "                                          60-64                                                    43.8   \n",
-       "                                          65-69                                                    40.0   \n",
-       "                                          70-74                                                    38.1   \n",
-       "                                          75-79                                                    44.4   \n",
-       "                                          80-84                                                    45.0   \n",
+       "overall                                   overall                                                  40.1   \n",
+       "Sex                                       F                                                        41.1   \n",
+       "                                          M                                                        39.3   \n",
+       "Age band                                  0                                                        44.4   \n",
+       "                                          0-15                                                     38.1   \n",
+       "                                          16-29                                                    40.0   \n",
+       "                                          30-34                                                    36.8   \n",
+       "                                          35-39                                                    27.8   \n",
+       "                                          40-44                                                    35.3   \n",
+       "                                          45-49                                                    44.4   \n",
+       "                                          50-54                                                    42.1   \n",
+       "                                          55-59                                                    38.9   \n",
+       "                                          60-64                                                    35.0   \n",
+       "                                          65-69                                                    52.6   \n",
+       "                                          70-74                                                    42.9   \n",
+       "                                          75-79                                                    40.0   \n",
+       "                                          80-84                                                    47.1   \n",
        "                                          85-89                                                    38.9   \n",
-       "                                          90+                                                      47.4   \n",
-       "Ethnicity (broad categories)              Black                                                    41.5   \n",
-       "                                          Mixed                                                    39.6   \n",
-       "                                          Other                                                    44.2   \n",
-       "                                          South Asian                                              41.2   \n",
-       "                                          Unknown                                                  44.2   \n",
-       "                                          White                                                    40.0   \n",
-       "ethnicity 16 groups                        African                                                 40.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                      38.9   \n",
-       "                                           Caribbean                                               50.0   \n",
-       "                                           Chinese                                                 43.8   \n",
-       "                                           Other                                                   60.0   \n",
-       "                                           Other Asian                                             50.0   \n",
-       "                                          British or Mixed British                                 41.7   \n",
-       "                                          Indian or British Indian                                 42.1   \n",
-       "                                          Irish                                                    43.8   \n",
-       "                                          Other Black                                              33.3   \n",
-       "                                          Other White                                              33.3   \n",
-       "                                          Other mixed                                              41.2   \n",
-       "                                          Pakistani or British Pakistani                           50.0   \n",
-       "                                          Unknown                                                  42.2   \n",
-       "                                          White + Asian                                            43.8   \n",
-       "                                          White + Black African                                    35.3   \n",
-       "                                          White + Black Caribbean                                  41.2   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          42.9   \n",
-       "                                          2                                                        41.1   \n",
-       "                                          3                                                        44.6   \n",
+       "                                          90+                                                      45.0   \n",
+       "Ethnicity (broad categories)              Black                                                    36.4   \n",
+       "                                          Mixed                                                    40.0   \n",
+       "                                          Other                                                    39.2   \n",
+       "                                          South Asian                                              41.8   \n",
+       "                                          Unknown                                                  38.6   \n",
+       "                                          White                                                    43.8   \n",
+       "ethnicity 16 groups                        African                                                 44.4   \n",
+       "                                           Bangladeshi or British Bangladeshi                      42.9   \n",
+       "                                           Caribbean                                               42.9   \n",
+       "                                           Chinese                                                 37.5   \n",
+       "                                           Other                                                   41.2   \n",
+       "                                           Other Asian                                             41.2   \n",
+       "                                          British or Mixed British                                 41.2   \n",
+       "                                          Indian or British Indian                                 36.8   \n",
+       "                                          Irish                                                    33.3   \n",
+       "                                          Other Black                                              50.0   \n",
+       "                                          Other White                                              42.1   \n",
+       "                                          Other mixed                                              40.0   \n",
+       "                                          Pakistani or British Pakistani                           35.7   \n",
+       "                                          Unknown                                                  40.5   \n",
+       "                                          White + Asian                                            37.5   \n",
+       "                                          White + Black African                                    44.4   \n",
+       "                                          White + Black Caribbean                                  40.0   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          39.3   \n",
+       "                                          2                                                        42.1   \n",
+       "                                          3                                                        43.1   \n",
        "                                          4                                                        42.1   \n",
-       "                                          5 Least deprived                                         40.4   \n",
-       "                                          Unknown                                                  36.8   \n",
-       "BMI                                       30+                                                      43.3   \n",
-       "                                          under 30                                                 41.0   \n",
-       "Chronic cardiac disease                   no                                                       41.8   \n",
+       "                                          5 Least deprived                                         38.2   \n",
+       "                                          Unknown                                                  26.7   \n",
+       "BMI                                       30+                                                      38.9   \n",
+       "                                          under 30                                                 40.9   \n",
+       "Chronic cardiac disease                   no                                                       40.1   \n",
+       "                                          yes                                                      25.0   \n",
+       "Current COPD                              no                                                       40.2   \n",
        "                                          yes                                                       0.0   \n",
-       "Current COPD                              no                                                       41.8   \n",
+       "Dialysis                                  no                                                       40.0   \n",
        "                                          yes                                                      33.3   \n",
-       "Dialysis                                  no                                                       41.6   \n",
-       "                                          yes                                                      50.0   \n",
-       "DMARDs                                    no                                                       41.8   \n",
-       "                                          yes                                                      50.0   \n",
-       "Dementia                                  no                                                       41.8   \n",
+       "DMARDs                                    no                                                       40.3   \n",
+       "                                          yes                                                       0.0   \n",
+       "Dementia                                  no                                                       40.3   \n",
+       "                                          yes                                                       0.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       40.2   \n",
+       "                                          yes                                                       0.0   \n",
+       "Learning disability                       no                                                       39.7   \n",
        "                                          yes                                                      50.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       41.8   \n",
-       "                                          yes                                                      33.3   \n",
-       "Learning disability                       no                                                       41.7   \n",
-       "                                          yes                                                      42.9   \n",
-       "SSRI (last 12 months)                     no                                                       41.8   \n",
-       "                                          yes                                                      33.3   \n",
-       "Chemo or radiotherapy                     no                                                       41.8   \n",
+       "SSRI (last 12 months)                     no                                                       40.0   \n",
        "                                          yes                                                      33.3   \n",
-       "Cancer (lung)                             no                                                       41.8   \n",
+       "Chemo or radiotherapy                     no                                                       40.2   \n",
+       "                                          yes                                                       0.0   \n",
+       "Cancer (lung)                             no                                                       40.3   \n",
+       "                                          yes                                                       0.0   \n",
+       "Cancer (excluding lung/haem)              no                                                       40.1   \n",
+       "                                          yes                                                      25.0   \n",
+       "Cancer (haematological)                   no                                                       40.3   \n",
        "                                          yes                                                       0.0   \n",
-       "Cancer (excluding lung/haem)              no                                                       41.8   \n",
-       "                                          yes                                                      33.3   \n",
-       "Cancer (haematological)                   no                                                       41.6   \n",
-       "                                          yes                                                      66.7   \n",
        "\n",
        "                                                                               Total eligible  \\\n",
        "Category                                  Group                                                 \n",
-       "overall                                   overall                                        2114   \n",
+       "overall                                   overall                                        2121   \n",
        "Sex                                       F                                              1106   \n",
-       "                                          M                                              1008   \n",
-       "Age band                                  0                                               140   \n",
-       "                                          0-15                                            126   \n",
-       "                                          16-29                                           126   \n",
-       "                                          30-34                                           140   \n",
-       "                                          35-39                                           133   \n",
-       "                                          40-44                                           147   \n",
+       "                                          M                                              1015   \n",
+       "Age band                                  0                                               126   \n",
+       "                                          0-15                                            147   \n",
+       "                                          16-29                                           140   \n",
+       "                                          30-34                                           133   \n",
+       "                                          35-39                                           126   \n",
+       "                                          40-44                                           119   \n",
        "                                          45-49                                           126   \n",
-       "                                          50-54                                           140   \n",
-       "                                          55-59                                           112   \n",
-       "                                          60-64                                           112   \n",
-       "                                          65-69                                           140   \n",
+       "                                          50-54                                           133   \n",
+       "                                          55-59                                           126   \n",
+       "                                          60-64                                           140   \n",
+       "                                          65-69                                           133   \n",
        "                                          70-74                                           147   \n",
-       "                                          75-79                                           126   \n",
-       "                                          80-84                                           140   \n",
+       "                                          75-79                                           140   \n",
+       "                                          80-84                                           119   \n",
        "                                          85-89                                           126   \n",
-       "                                          90+                                             133   \n",
-       "Ethnicity (broad categories)              Black                                           371   \n",
-       "                                          Mixed                                           371   \n",
-       "                                          Other                                           364   \n",
-       "                                          South Asian                                     357   \n",
-       "                                          Unknown                                         301   \n",
-       "                                          White                                           350   \n",
-       "ethnicity 16 groups                        African                                        105   \n",
-       "                                           Bangladeshi or British Bangladeshi             126   \n",
-       "                                           Caribbean                                      112   \n",
+       "                                          90+                                             140   \n",
+       "Ethnicity (broad categories)              Black                                           385   \n",
+       "                                          Mixed                                           350   \n",
+       "                                          Other                                           357   \n",
+       "                                          South Asian                                     385   \n",
+       "                                          Unknown                                         308   \n",
+       "                                          White                                           336   \n",
+       "ethnicity 16 groups                        African                                        126   \n",
+       "                                           Bangladeshi or British Bangladeshi              98   \n",
+       "                                           Caribbean                                       98   \n",
        "                                           Chinese                                        112   \n",
-       "                                           Other                                          105   \n",
-       "                                           Other Asian                                    112   \n",
-       "                                          British or Mixed British                         84   \n",
+       "                                           Other                                          119   \n",
+       "                                           Other Asian                                    119   \n",
+       "                                          British or Mixed British                        119   \n",
        "                                          Indian or British Indian                        133   \n",
-       "                                          Irish                                           112   \n",
-       "                                          Other Black                                     105   \n",
-       "                                          Other White                                     105   \n",
-       "                                          Other mixed                                     119   \n",
-       "                                          Pakistani or British Pakistani                  112   \n",
-       "                                          Unknown                                         315   \n",
+       "                                          Irish                                           105   \n",
+       "                                          Other Black                                     112   \n",
+       "                                          Other White                                     133   \n",
+       "                                          Other mixed                                     105   \n",
+       "                                          Pakistani or British Pakistani                   98   \n",
+       "                                          Unknown                                         294   \n",
        "                                          White + Asian                                   112   \n",
-       "                                          White + Black African                           119   \n",
-       "                                          White + Black Caribbean                         119   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 392   \n",
-       "                                          2                                               392   \n",
-       "                                          3                                               392   \n",
+       "                                          White + Black African                           126   \n",
+       "                                          White + Black Caribbean                         105   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 427   \n",
+       "                                          2                                               399   \n",
+       "                                          3                                               406   \n",
        "                                          4                                               399   \n",
-       "                                          5 Least deprived                                399   \n",
-       "                                          Unknown                                         133   \n",
-       "BMI                                       30+                                             630   \n",
-       "                                          under 30                                       1484   \n",
+       "                                          5 Least deprived                                385   \n",
+       "                                          Unknown                                         105   \n",
+       "BMI                                       30+                                             665   \n",
+       "                                          under 30                                       1456   \n",
        "Chronic cardiac disease                   no                                             2093   \n",
-       "                                          yes                                              14   \n",
-       "Current COPD                              no                                             2093   \n",
-       "                                          yes                                              21   \n",
-       "Dialysis                                  no                                             2086   \n",
        "                                          yes                                              28   \n",
-       "DMARDs                                    no                                             2093   \n",
-       "                                          yes                                              14   \n",
-       "Dementia                                  no                                             2093   \n",
+       "Current COPD                              no                                             2107   \n",
        "                                          yes                                              14   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             2093   \n",
+       "Dialysis                                  no                                             2100   \n",
        "                                          yes                                              21   \n",
-       "Learning disability                       no                                             2065   \n",
-       "                                          yes                                              49   \n",
-       "SSRI (last 12 months)                     no                                             2093   \n",
+       "DMARDs                                    no                                             2100   \n",
        "                                          yes                                              21   \n",
-       "Chemo or radiotherapy                     no                                             2093   \n",
+       "Dementia                                  no                                             2100   \n",
        "                                          yes                                              21   \n",
-       "Cancer (lung)                             no                                             2093   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             2107   \n",
+       "                                          yes                                              14   \n",
+       "Learning disability                       no                                             2079   \n",
+       "                                          yes                                              42   \n",
+       "SSRI (last 12 months)                     no                                             2100   \n",
        "                                          yes                                              21   \n",
-       "Cancer (excluding lung/haem)              no                                             2093   \n",
+       "Chemo or radiotherapy                     no                                             2107   \n",
+       "                                          yes                                              14   \n",
+       "Cancer (lung)                             no                                             2100   \n",
        "                                          yes                                              21   \n",
-       "Cancer (haematological)                   no                                             2086   \n",
+       "Cancer (excluding lung/haem)              no                                             2093   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (haematological)                   no                                             2100   \n",
        "                                          yes                                              21   \n",
        "\n",
        "                                                                               Previous week's vaccination coverage (%)  \\\n",
        "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  37.6   \n",
-       "Sex                                       F                                                                        37.3   \n",
-       "                                          M                                                                        37.5   \n",
-       "Age band                                  0                                                                        35.0   \n",
-       "                                          0-15                                                                     38.9   \n",
-       "                                          16-29                                                                    38.9   \n",
-       "                                          30-34                                                                    40.0   \n",
-       "                                          35-39                                                                    36.8   \n",
-       "                                          40-44                                                                    33.3   \n",
-       "                                          45-49                                                                    33.3   \n",
-       "                                          50-54                                                                    35.0   \n",
-       "                                          55-59                                                                    37.5   \n",
-       "                                          60-64                                                                    43.8   \n",
-       "                                          65-69                                                                    35.0   \n",
-       "                                          70-74                                                                    33.3   \n",
-       "                                          75-79                                                                    38.9   \n",
-       "                                          80-84                                                                    45.0   \n",
+       "overall                                   overall                                                                  37.4   \n",
+       "Sex                                       F                                                                        38.6   \n",
+       "                                          M                                                                        36.6   \n",
+       "Age band                                  0                                                                        38.9   \n",
+       "                                          0-15                                                                     33.3   \n",
+       "                                          16-29                                                                    40.0   \n",
+       "                                          30-34                                                                    36.8   \n",
+       "                                          35-39                                                                    27.8   \n",
+       "                                          40-44                                                                    29.4   \n",
+       "                                          45-49                                                                    44.4   \n",
+       "                                          50-54                                                                    42.1   \n",
+       "                                          55-59                                                                    33.3   \n",
+       "                                          60-64                                                                    35.0   \n",
+       "                                          65-69                                                                    47.4   \n",
+       "                                          70-74                                                                    38.1   \n",
+       "                                          75-79                                                                    35.0   \n",
+       "                                          80-84                                                                    41.2   \n",
        "                                          85-89                                                                    38.9   \n",
-       "                                          90+                                                                      47.4   \n",
-       "Ethnicity (broad categories)              Black                                                                    39.6   \n",
-       "                                          Mixed                                                                    35.8   \n",
-       "                                          Other                                                                    40.4   \n",
-       "                                          South Asian                                                              37.3   \n",
-       "                                          Unknown                                                                  39.5   \n",
-       "                                          White                                                                    36.0   \n",
-       "ethnicity 16 groups                        African                                                                 40.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      38.9   \n",
-       "                                           Caribbean                                                               43.8   \n",
+       "                                          90+                                                                      40.0   \n",
+       "Ethnicity (broad categories)              Black                                                                    34.5   \n",
+       "                                          Mixed                                                                    36.0   \n",
+       "                                          Other                                                                    37.3   \n",
+       "                                          South Asian                                                              40.0   \n",
+       "                                          Unknown                                                                  36.4   \n",
+       "                                          White                                                                    41.7   \n",
+       "ethnicity 16 groups                        African                                                                 38.9   \n",
+       "                                           Bangladeshi or British Bangladeshi                                      42.9   \n",
+       "                                           Caribbean                                                               35.7   \n",
        "                                           Chinese                                                                 37.5   \n",
-       "                                           Other                                                                   53.3   \n",
-       "                                           Other Asian                                                             43.8   \n",
-       "                                          British or Mixed British                                                 33.3   \n",
+       "                                           Other                                                                   35.3   \n",
+       "                                           Other Asian                                                             35.3   \n",
+       "                                          British or Mixed British                                                 35.3   \n",
        "                                          Indian or British Indian                                                 36.8   \n",
-       "                                          Irish                                                                    37.5   \n",
-       "                                          Other Black                                                              26.7   \n",
-       "                                          Other White                                                              26.7   \n",
-       "                                          Other mixed                                                              29.4   \n",
-       "                                          Pakistani or British Pakistani                                           43.8   \n",
-       "                                          Unknown                                                                  40.0   \n",
+       "                                          Irish                                                                    33.3   \n",
+       "                                          Other Black                                                              43.8   \n",
+       "                                          Other White                                                              36.8   \n",
+       "                                          Other mixed                                                              40.0   \n",
+       "                                          Pakistani or British Pakistani                                           28.6   \n",
+       "                                          Unknown                                                                  35.7   \n",
        "                                          White + Asian                                                            37.5   \n",
-       "                                          White + Black African                                                    29.4   \n",
-       "                                          White + Black Caribbean                                                  35.3   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          37.5   \n",
-       "                                          2                                                                        37.5   \n",
-       "                                          3                                                                        41.1   \n",
-       "                                          4                                                                        36.8   \n",
-       "                                          5 Least deprived                                                         35.1   \n",
-       "                                          Unknown                                                                  36.8   \n",
-       "BMI                                       30+                                                                      40.0   \n",
-       "                                          under 30                                                                 36.8   \n",
-       "Chronic cardiac disease                   no                                                                       37.8   \n",
-       "                                          yes                                                                       0.0   \n",
+       "                                          White + Black African                                                    44.4   \n",
+       "                                          White + Black Caribbean                                                  40.0   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          36.1   \n",
+       "                                          2                                                                        40.4   \n",
+       "                                          3                                                                        39.7   \n",
+       "                                          4                                                                        38.6   \n",
+       "                                          5 Least deprived                                                         34.5   \n",
+       "                                          Unknown                                                                  26.7   \n",
+       "BMI                                       30+                                                                      36.8   \n",
+       "                                          under 30                                                                 37.5   \n",
+       "Chronic cardiac disease                   no                                                                       37.5   \n",
+       "                                          yes                                                                      25.0   \n",
        "Current COPD                              no                                                                       37.5   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Dialysis                                  no                                                                       37.3   \n",
        "                                          yes                                                                      33.3   \n",
-       "Dialysis                                  no                                                                       37.6   \n",
-       "                                          yes                                                                      50.0   \n",
-       "DMARDs                                    no                                                                       37.5   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Dementia                                  no                                                                       37.5   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       37.8   \n",
+       "DMARDs                                    no                                                                       37.7   \n",
        "                                          yes                                                                       0.0   \n",
-       "Learning disability                       no                                                                       37.6   \n",
-       "                                          yes                                                                      28.6   \n",
-       "SSRI (last 12 months)                     no                                                                       37.5   \n",
+       "Dementia                                  no                                                                       37.7   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                                       37.5   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Learning disability                       no                                                                       37.0   \n",
+       "                                          yes                                                                      50.0   \n",
+       "SSRI (last 12 months)                     no                                                                       37.3   \n",
        "                                          yes                                                                      33.3   \n",
-       "Chemo or radiotherapy                     no                                                                       37.8   \n",
+       "Chemo or radiotherapy                     no                                                                       37.5   \n",
        "                                          yes                                                                       0.0   \n",
-       "Cancer (lung)                             no                                                                       37.8   \n",
+       "Cancer (lung)                             no                                                                       37.7   \n",
        "                                          yes                                                                       0.0   \n",
-       "Cancer (excluding lung/haem)              no                                                                       37.8   \n",
+       "Cancer (excluding lung/haem)              no                                                                       37.5   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Cancer (haematological)                   no                                                                       37.7   \n",
        "                                          yes                                                                       0.0   \n",
-       "Cancer (haematological)                   no                                                                       37.6   \n",
-       "                                          yes                                                                      66.7   \n",
        "\n",
        "                                                                               Vaccinated over last 7d (%)  \n",
        "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      4.1  \n",
-       "Sex                                       F                                                            4.5  \n",
-       "                                          M                                                            4.2  \n",
-       "Age band                                  0                                                            5.0  \n",
-       "                                          0-15                                                         5.5  \n",
-       "                                          16-29                                                        5.5  \n",
-       "                                          30-34                                                        5.0  \n",
-       "                                          35-39                                                        5.3  \n",
-       "                                          40-44                                                        4.8  \n",
-       "                                          45-49                                                        5.6  \n",
-       "                                          50-54                                                        5.0  \n",
-       "                                          55-59                                                        0.0  \n",
+       "overall                                   overall                                                      2.7  \n",
+       "Sex                                       F                                                            2.5  \n",
+       "                                          M                                                            2.7  \n",
+       "Age band                                  0                                                            5.5  \n",
+       "                                          0-15                                                         4.8  \n",
+       "                                          16-29                                                        0.0  \n",
+       "                                          30-34                                                        0.0  \n",
+       "                                          35-39                                                        0.0  \n",
+       "                                          40-44                                                        5.9  \n",
+       "                                          45-49                                                        0.0  \n",
+       "                                          50-54                                                        0.0  \n",
+       "                                          55-59                                                        5.6  \n",
        "                                          60-64                                                        0.0  \n",
-       "                                          65-69                                                        5.0  \n",
+       "                                          65-69                                                        5.2  \n",
        "                                          70-74                                                        4.8  \n",
-       "                                          75-79                                                        5.5  \n",
-       "                                          80-84                                                        0.0  \n",
+       "                                          75-79                                                        5.0  \n",
+       "                                          80-84                                                        5.9  \n",
        "                                          85-89                                                        0.0  \n",
-       "                                          90+                                                          0.0  \n",
+       "                                          90+                                                          5.0  \n",
        "Ethnicity (broad categories)              Black                                                        1.9  \n",
-       "                                          Mixed                                                        3.8  \n",
-       "                                          Other                                                        3.8  \n",
-       "                                          South Asian                                                  3.9  \n",
-       "                                          Unknown                                                      4.7  \n",
-       "                                          White                                                        4.0  \n",
-       "ethnicity 16 groups                        African                                                     0.0  \n",
-       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
-       "                                           Caribbean                                                   6.2  \n",
-       "                                           Chinese                                                     6.3  \n",
-       "                                           Other                                                       6.7  \n",
-       "                                           Other Asian                                                 6.2  \n",
-       "                                          British or Mixed British                                     8.4  \n",
-       "                                          Indian or British Indian                                     5.3  \n",
-       "                                          Irish                                                        6.3  \n",
-       "                                          Other Black                                                  6.6  \n",
-       "                                          Other White                                                  6.6  \n",
-       "                                          Other mixed                                                 11.8  \n",
-       "                                          Pakistani or British Pakistani                               6.2  \n",
+       "                                          Mixed                                                        4.0  \n",
+       "                                          Other                                                        1.9  \n",
+       "                                          South Asian                                                  1.8  \n",
        "                                          Unknown                                                      2.2  \n",
-       "                                          White + Asian                                                6.3  \n",
-       "                                          White + Black African                                        5.9  \n",
-       "                                          White + Black Caribbean                                      5.9  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              5.4  \n",
-       "                                          2                                                            3.6  \n",
-       "                                          3                                                            3.5  \n",
-       "                                          4                                                            5.3  \n",
-       "                                          5 Least deprived                                             5.3  \n",
+       "                                          White                                                        2.1  \n",
+       "ethnicity 16 groups                        African                                                     5.5  \n",
+       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
+       "                                           Caribbean                                                   7.2  \n",
+       "                                           Chinese                                                     0.0  \n",
+       "                                           Other                                                       5.9  \n",
+       "                                           Other Asian                                                 5.9  \n",
+       "                                          British or Mixed British                                     5.9  \n",
+       "                                          Indian or British Indian                                     0.0  \n",
+       "                                          Irish                                                        0.0  \n",
+       "                                          Other Black                                                  6.2  \n",
+       "                                          Other White                                                  5.3  \n",
+       "                                          Other mixed                                                  0.0  \n",
+       "                                          Pakistani or British Pakistani                               7.1  \n",
+       "                                          Unknown                                                      4.8  \n",
+       "                                          White + Asian                                                0.0  \n",
+       "                                          White + Black African                                        0.0  \n",
+       "                                          White + Black Caribbean                                      0.0  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.2  \n",
+       "                                          2                                                            1.7  \n",
+       "                                          3                                                            3.4  \n",
+       "                                          4                                                            3.5  \n",
+       "                                          5 Least deprived                                             3.7  \n",
        "                                          Unknown                                                      0.0  \n",
-       "BMI                                       30+                                                          3.3  \n",
-       "                                          under 30                                                     4.2  \n",
-       "Chronic cardiac disease                   no                                                           4.0  \n",
+       "BMI                                       30+                                                          2.1  \n",
+       "                                          under 30                                                     3.4  \n",
+       "Chronic cardiac disease                   no                                                           2.6  \n",
        "                                          yes                                                          0.0  \n",
-       "Current COPD                              no                                                           4.3  \n",
+       "Current COPD                              no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Dialysis                                  no                                                           4.0  \n",
+       "Dialysis                                  no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           4.3  \n",
+       "DMARDs                                    no                                                           2.6  \n",
        "                                          yes                                                          0.0  \n",
-       "Dementia                                  no                                                           4.3  \n",
+       "Dementia                                  no                                                           2.6  \n",
        "                                          yes                                                          0.0  \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                           4.0  \n",
-       "                                          yes                                                         33.3  \n",
-       "Learning disability                       no                                                           4.1  \n",
-       "                                          yes                                                         14.3  \n",
-       "SSRI (last 12 months)                     no                                                           4.3  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           4.0  \n",
-       "                                          yes                                                         33.3  \n",
-       "Cancer (lung)                             no                                                           4.0  \n",
+       "Learning disability                       no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           4.0  \n",
-       "                                          yes                                                         33.3  \n",
-       "Cancer (haematological)                   no                                                           4.0  \n",
+       "SSRI (last 12 months)                     no                                                           2.7  \n",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           2.7  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (lung)                             no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (haematological)                   no                                                           2.6  \n",
        "                                          yes                                                          0.0  "
       ]
      },
@@ -24659,8 +30502,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
        "      <th>Total eligible</th>\n",
        "      <th>Previous week's vaccination coverage (%)</th>\n",
        "      <th>Vaccinated over last 7d (%)</th>\n",
@@ -24674,1008 +30517,1478 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>1411</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3570</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
+       "      <td>714</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1785</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>693</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>1778</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
+       "      <th>0</th>\n",
+       "      <td>84</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>224</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>3.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0-15</th>\n",
+       "      <td>91</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>245</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16-29</th>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30-34</th>\n",
+       "      <td>91</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>245</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35-39</th>\n",
+       "      <td>84</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40-44</th>\n",
+       "      <td>105</td>\n",
+       "      <td>44.1</td>\n",
+       "      <td>238</td>\n",
+       "      <td>44.1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45-49</th>\n",
+       "      <td>70</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>196</td>\n",
+       "      <td>32.1</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50-54</th>\n",
+       "      <td>98</td>\n",
+       "      <td>45.2</td>\n",
+       "      <td>217</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>3.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55-59</th>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>203</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60-64</th>\n",
+       "      <td>91</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>224</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65-69</th>\n",
+       "      <td>91</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
        "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>1422</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3514</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>70-74</th>\n",
+       "      <td>84</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>224</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>3.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>714</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1778</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.8</td>\n",
+       "      <th>75-79</th>\n",
+       "      <td>91</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>217</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>707</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>1736</td>\n",
+       "      <th>80-84</th>\n",
+       "      <td>84</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>210</td>\n",
        "      <td>36.7</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
+       "      <th>85-89</th>\n",
+       "      <td>98</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90+</th>\n",
        "      <td>77</td>\n",
        "      <td>35.5</td>\n",
        "      <td>217</td>\n",
-       "      <td>32.3</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>35.5</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>77</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>203</td>\n",
-       "      <td>31.0</td>\n",
-       "      <td>6.9</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>224</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>574</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>1.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16-29</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>Mixed</th>\n",
+       "      <td>231</td>\n",
+       "      <td>36.3</td>\n",
+       "      <td>637</td>\n",
+       "      <td>34.1</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30-34</th>\n",
-       "      <td>91</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>224</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
+       "      <th>Other</th>\n",
+       "      <td>245</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>609</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>1.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>91</td>\n",
-       "      <td>41.9</td>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>252</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>623</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>3.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
        "      <td>217</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>546</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>1.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>40-44</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>White</th>\n",
+       "      <td>245</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>581</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45-49</th>\n",
+       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
+       "      <th>African</th>\n",
+       "      <td>63</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>182</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bangladeshi or British Bangladeshi</th>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>4.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Caribbean</th>\n",
        "      <td>77</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>203</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50-54</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>Chinese</th>\n",
+       "      <td>70</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>55-59</th>\n",
+       "      <th>Other</th>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Asian</th>\n",
+       "      <td>77</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>189</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>3.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>British or Mixed British</th>\n",
        "      <td>91</td>\n",
-       "      <td>44.8</td>\n",
+       "      <td>46.4</td>\n",
+       "      <td>196</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>3.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indian or British Indian</th>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
        "      <td>203</td>\n",
        "      <td>41.4</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>60-64</th>\n",
+       "      <th>Irish</th>\n",
        "      <td>70</td>\n",
        "      <td>38.5</td>\n",
        "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Black</th>\n",
+       "      <td>63</td>\n",
        "      <td>34.6</td>\n",
-       "      <td>3.9</td>\n",
+       "      <td>182</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>3.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other White</th>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>203</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>3.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>70</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>189</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>77</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>196</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>3.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>210</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>546</td>\n",
+       "      <td>35.9</td>\n",
+       "      <td>2.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Asian</th>\n",
+       "      <td>84</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>189</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black African</th>\n",
+       "      <td>70</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>203</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>3.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>203</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>3.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>259</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>693</td>\n",
+       "      <td>35.4</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>245</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>644</td>\n",
+       "      <td>35.9</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>65-69</th>\n",
-       "      <td>91</td>\n",
-       "      <td>41.9</td>\n",
-       "      <td>217</td>\n",
-       "      <td>41.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>3</th>\n",
+       "      <td>266</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>651</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-74</th>\n",
-       "      <td>105</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>245</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>5.8</td>\n",
+       "      <th>4</th>\n",
+       "      <td>287</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>714</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>75-79</th>\n",
-       "      <td>77</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>224</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>3.2</td>\n",
+       "      <th>5 Least deprived</th>\n",
+       "      <td>280</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>679</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80-84</th>\n",
+       "      <th>Unknown</th>\n",
        "      <td>77</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>210</td>\n",
-       "      <td>36.7</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>189</td>\n",
+       "      <td>40.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>85-89</th>\n",
-       "      <td>98</td>\n",
-       "      <td>42.4</td>\n",
-       "      <td>231</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
+       "      <th>30+</th>\n",
+       "      <td>434</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>1099</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>1.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>90+</th>\n",
-       "      <td>91</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>224</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
+       "      <th>under 30</th>\n",
+       "      <td>973</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2464</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>238</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>588</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.6</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>252</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>609</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>4.6</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>224</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>581</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>2.5</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>238</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>588</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>2.4</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>224</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>553</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>2.5</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Dialysis</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3542</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>245</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>588</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>4.8</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
-       "      <th>African</th>\n",
-       "      <td>77</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>189</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>91</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>196</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>161</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>4.3</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>63</td>\n",
-       "      <td>34.6</td>\n",
-       "      <td>182</td>\n",
-       "      <td>30.8</td>\n",
-       "      <td>3.8</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>70</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>154</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>4.6</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other Asian</th>\n",
-       "      <td>98</td>\n",
-       "      <td>45.2</td>\n",
-       "      <td>217</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>6.5</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>British or Mixed British</th>\n",
-       "      <td>70</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>161</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>4.4</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1379</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3486</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Indian or British Indian</th>\n",
-       "      <td>70</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>168</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>35</td>\n",
        "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>8.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Irish</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3521</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other Black</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other White</th>\n",
-       "      <td>84</td>\n",
-       "      <td>46.2</td>\n",
-       "      <td>182</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>3.9</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other mixed</th>\n",
-       "      <td>84</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>203</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36.0</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>238</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>574</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>4.9</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Asian</th>\n",
-       "      <td>77</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>217</td>\n",
-       "      <td>32.3</td>\n",
-       "      <td>3.2</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                  1411   \n",
+       "Sex                                       F                                                         714   \n",
+       "                                          M                                                         693   \n",
+       "Age band                                  0                                                          84   \n",
+       "                                          0-15                                                       91   \n",
+       "                                          16-29                                                      77   \n",
+       "                                          30-34                                                      91   \n",
+       "                                          35-39                                                      84   \n",
+       "                                          40-44                                                     105   \n",
+       "                                          45-49                                                      70   \n",
+       "                                          50-54                                                      98   \n",
+       "                                          55-59                                                      84   \n",
+       "                                          60-64                                                      91   \n",
+       "                                          65-69                                                      91   \n",
+       "                                          70-74                                                      84   \n",
+       "                                          75-79                                                      91   \n",
+       "                                          80-84                                                      84   \n",
+       "                                          85-89                                                      98   \n",
+       "                                          90+                                                        77   \n",
+       "Ethnicity (broad categories)              Black                                                     224   \n",
+       "                                          Mixed                                                     231   \n",
+       "                                          Other                                                     245   \n",
+       "                                          South Asian                                               252   \n",
+       "                                          Unknown                                                   217   \n",
+       "                                          White                                                     245   \n",
+       "ethnicity 16 groups                        African                                                   63   \n",
+       "                                           Bangladeshi or British Bangladeshi                        70   \n",
+       "                                           Caribbean                                                 77   \n",
+       "                                           Chinese                                                   70   \n",
+       "                                           Other                                                     77   \n",
+       "                                           Other Asian                                               77   \n",
+       "                                          British or Mixed British                                   91   \n",
+       "                                          Indian or British Indian                                   84   \n",
+       "                                          Irish                                                      70   \n",
+       "                                          Other Black                                                63   \n",
+       "                                          Other White                                                84   \n",
+       "                                          Other mixed                                                70   \n",
+       "                                          Pakistani or British Pakistani                             77   \n",
+       "                                          Unknown                                                   210   \n",
+       "                                          White + Asian                                              84   \n",
+       "                                          White + Black African                                      70   \n",
+       "                                          White + Black Caribbean                                    84   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           259   \n",
+       "                                          2                                                         245   \n",
+       "                                          3                                                         266   \n",
+       "                                          4                                                         287   \n",
+       "                                          5 Least deprived                                          280   \n",
+       "                                          Unknown                                                    77   \n",
+       "BMI                                       30+                                                       434   \n",
+       "                                          under 30                                                  973   \n",
+       "Chronic cardiac disease                   no                                                       1393   \n",
+       "                                          yes                                                        14   \n",
+       "Current COPD                              no                                                       1393   \n",
+       "                                          yes                                                        21   \n",
+       "Dialysis                                  no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "DMARDs                                    no                                                       1393   \n",
+       "                                          yes                                                        14   \n",
+       "Dementia                                  no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       1400   \n",
+       "                                          yes                                                         7   \n",
+       "Learning disability                       no                                                       1379   \n",
+       "                                          yes                                                        35   \n",
+       "SSRI (last 12 months)                     no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "Chemo or radiotherapy                     no                                                       1393   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (lung)                             no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (excluding lung/haem)              no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (haematological)                   no                                                       1400   \n",
+       "                                          yes                                                        14   \n",
+       "\n",
+       "                                                                               Vaccinated at 30 Mar (%)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                  39.5   \n",
+       "Sex                                       F                                                        40.0   \n",
+       "                                          M                                                        39.0   \n",
+       "Age band                                  0                                                        37.5   \n",
+       "                                          0-15                                                     37.1   \n",
+       "                                          16-29                                                    36.7   \n",
+       "                                          30-34                                                    37.1   \n",
+       "                                          35-39                                                    36.4   \n",
+       "                                          40-44                                                    44.1   \n",
+       "                                          45-49                                                    35.7   \n",
+       "                                          50-54                                                    45.2   \n",
+       "                                          55-59                                                    41.4   \n",
+       "                                          60-64                                                    40.6   \n",
+       "                                          65-69                                                    39.4   \n",
+       "                                          70-74                                                    37.5   \n",
+       "                                          75-79                                                    41.9   \n",
+       "                                          80-84                                                    40.0   \n",
+       "                                          85-89                                                    42.4   \n",
+       "                                          90+                                                      35.5   \n",
+       "Ethnicity (broad categories)              Black                                                    39.0   \n",
+       "                                          Mixed                                                    36.3   \n",
+       "                                          Other                                                    40.2   \n",
+       "                                          South Asian                                              40.4   \n",
+       "                                          Unknown                                                  39.7   \n",
+       "                                          White                                                    42.2   \n",
+       "ethnicity 16 groups                        African                                                 34.6   \n",
+       "                                           Bangladeshi or British Bangladeshi                      41.7   \n",
+       "                                           Caribbean                                               42.3   \n",
+       "                                           Chinese                                                 40.0   \n",
+       "                                           Other                                                   44.0   \n",
+       "                                           Other Asian                                             40.7   \n",
+       "                                          British or Mixed British                                 46.4   \n",
+       "                                          Indian or British Indian                                 41.4   \n",
+       "                                          Irish                                                    38.5   \n",
+       "                                          Other Black                                              34.6   \n",
+       "                                          Other White                                              41.4   \n",
+       "                                          Other mixed                                              37.0   \n",
+       "                                          Pakistani or British Pakistani                           39.3   \n",
+       "                                          Unknown                                                  38.5   \n",
+       "                                          White + Asian                                            44.4   \n",
+       "                                          White + Black African                                    34.5   \n",
+       "                                          White + Black Caribbean                                  41.4   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          37.4   \n",
+       "                                          2                                                        38.0   \n",
+       "                                          3                                                        40.9   \n",
+       "                                          4                                                        40.2   \n",
+       "                                          5 Least deprived                                         41.2   \n",
+       "                                          Unknown                                                  40.7   \n",
+       "BMI                                       30+                                                      39.5   \n",
+       "                                          under 30                                                 39.5   \n",
+       "Chronic cardiac disease                   no                                                       39.4   \n",
+       "                                          yes                                                      40.0   \n",
+       "Current COPD                              no                                                       39.5   \n",
+       "                                          yes                                                      60.0   \n",
+       "Dialysis                                  no                                                       39.5   \n",
+       "                                          yes                                                      66.7   \n",
+       "DMARDs                                    no                                                       39.5   \n",
+       "                                          yes                                                      33.3   \n",
+       "Dementia                                  no                                                       39.6   \n",
+       "                                          yes                                                      50.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       39.6   \n",
+       "                                          yes                                                      20.0   \n",
+       "Learning disability                       no                                                       39.6   \n",
+       "                                          yes                                                      41.7   \n",
+       "SSRI (last 12 months)                     no                                                       39.6   \n",
+       "                                          yes                                                      40.0   \n",
+       "Chemo or radiotherapy                     no                                                       39.6   \n",
+       "                                          yes                                                      28.6   \n",
+       "Cancer (lung)                             no                                                       39.6   \n",
+       "                                          yes                                                      50.0   \n",
+       "Cancer (excluding lung/haem)              no                                                       39.6   \n",
+       "                                          yes                                                      40.0   \n",
+       "Cancer (haematological)                   no                                                       39.7   \n",
+       "                                          yes                                                      40.0   \n",
+       "\n",
+       "                                                                               Total eligible  \\\n",
+       "Category                                  Group                                                 \n",
+       "overall                                   overall                                        3570   \n",
+       "Sex                                       F                                              1785   \n",
+       "                                          M                                              1778   \n",
+       "Age band                                  0                                               224   \n",
+       "                                          0-15                                            245   \n",
+       "                                          16-29                                           210   \n",
+       "                                          30-34                                           245   \n",
+       "                                          35-39                                           231   \n",
+       "                                          40-44                                           238   \n",
+       "                                          45-49                                           196   \n",
+       "                                          50-54                                           217   \n",
+       "                                          55-59                                           203   \n",
+       "                                          60-64                                           224   \n",
+       "                                          65-69                                           231   \n",
+       "                                          70-74                                           224   \n",
+       "                                          75-79                                           217   \n",
+       "                                          80-84                                           210   \n",
+       "                                          85-89                                           231   \n",
+       "                                          90+                                             217   \n",
+       "Ethnicity (broad categories)              Black                                           574   \n",
+       "                                          Mixed                                           637   \n",
+       "                                          Other                                           609   \n",
+       "                                          South Asian                                     623   \n",
+       "                                          Unknown                                         546   \n",
+       "                                          White                                           581   \n",
+       "ethnicity 16 groups                        African                                        182   \n",
+       "                                           Bangladeshi or British Bangladeshi             168   \n",
+       "                                           Caribbean                                      182   \n",
+       "                                           Chinese                                        175   \n",
+       "                                           Other                                          175   \n",
+       "                                           Other Asian                                    189   \n",
+       "                                          British or Mixed British                        196   \n",
+       "                                          Indian or British Indian                        203   \n",
+       "                                          Irish                                           182   \n",
+       "                                          Other Black                                     182   \n",
+       "                                          Other White                                     203   \n",
+       "                                          Other mixed                                     189   \n",
+       "                                          Pakistani or British Pakistani                  196   \n",
+       "                                          Unknown                                         546   \n",
+       "                                          White + Asian                                   189   \n",
+       "                                          White + Black African                           203   \n",
+       "                                          White + Black Caribbean                         203   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 693   \n",
+       "                                          2                                               644   \n",
+       "                                          3                                               651   \n",
+       "                                          4                                               714   \n",
+       "                                          5 Least deprived                                679   \n",
+       "                                          Unknown                                         189   \n",
+       "BMI                                       30+                                            1099   \n",
+       "                                          under 30                                       2464   \n",
+       "Chronic cardiac disease                   no                                             3535   \n",
+       "                                          yes                                              35   \n",
+       "Current COPD                              no                                             3528   \n",
+       "                                          yes                                              35   \n",
+       "Dialysis                                  no                                             3542   \n",
+       "                                          yes                                              21   \n",
+       "DMARDs                                    no                                             3528   \n",
+       "                                          yes                                              42   \n",
+       "Dementia                                  no                                             3535   \n",
+       "                                          yes                                              28   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             3535   \n",
+       "                                          yes                                              35   \n",
+       "Learning disability                       no                                             3486   \n",
+       "                                          yes                                              84   \n",
+       "SSRI (last 12 months)                     no                                             3535   \n",
+       "                                          yes                                              35   \n",
+       "Chemo or radiotherapy                     no                                             3521   \n",
+       "                                          yes                                              49   \n",
+       "Cancer (lung)                             no                                             3535   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (excluding lung/haem)              no                                             3535   \n",
+       "                                          yes                                              35   \n",
+       "Cancer (haematological)                   no                                             3528   \n",
+       "                                          yes                                              35   \n",
+       "\n",
+       "                                                                               Previous week's vaccination coverage (%)  \\\n",
+       "Category                                  Group                                                                           \n",
+       "overall                                   overall                                                                  37.3   \n",
+       "Sex                                       F                                                                        37.6   \n",
+       "                                          M                                                                        37.0   \n",
+       "Age band                                  0                                                                        34.4   \n",
+       "                                          0-15                                                                     37.1   \n",
+       "                                          16-29                                                                    33.3   \n",
+       "                                          30-34                                                                    37.1   \n",
+       "                                          35-39                                                                    33.3   \n",
+       "                                          40-44                                                                    44.1   \n",
+       "                                          45-49                                                                    32.1   \n",
+       "                                          50-54                                                                    41.9   \n",
+       "                                          55-59                                                                    41.4   \n",
+       "                                          60-64                                                                    40.6   \n",
+       "                                          65-69                                                                    39.4   \n",
+       "                                          70-74                                                                    34.4   \n",
+       "                                          75-79                                                                    38.7   \n",
+       "                                          80-84                                                                    36.7   \n",
+       "                                          85-89                                                                    39.4   \n",
+       "                                          90+                                                                      35.5   \n",
+       "Ethnicity (broad categories)              Black                                                                    37.8   \n",
+       "                                          Mixed                                                                    34.1   \n",
+       "                                          Other                                                                    39.1   \n",
+       "                                          South Asian                                                              37.1   \n",
+       "                                          Unknown                                                                  38.5   \n",
+       "                                          White                                                                    38.6   \n",
+       "ethnicity 16 groups                        African                                                                 34.6   \n",
+       "                                           Bangladeshi or British Bangladeshi                                      37.5   \n",
+       "                                           Caribbean                                                               38.5   \n",
+       "                                           Chinese                                                                 36.0   \n",
+       "                                           Other                                                                   40.0   \n",
+       "                                           Other Asian                                                             37.0   \n",
+       "                                          British or Mixed British                                                 42.9   \n",
+       "                                          Indian or British Indian                                                 41.4   \n",
+       "                                          Irish                                                                    38.5   \n",
+       "                                          Other Black                                                              30.8   \n",
+       "                                          Other White                                                              37.9   \n",
+       "                                          Other mixed                                                              37.0   \n",
+       "                                          Pakistani or British Pakistani                                           35.7   \n",
+       "                                          Unknown                                                                  35.9   \n",
+       "                                          White + Asian                                                            44.4   \n",
+       "                                          White + Black African                                                    31.0   \n",
+       "                                          White + Black Caribbean                                                  37.9   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          35.4   \n",
+       "                                          2                                                                        35.9   \n",
+       "                                          3                                                                        37.6   \n",
+       "                                          4                                                                        37.3   \n",
+       "                                          5 Least deprived                                                         39.2   \n",
+       "                                          Unknown                                                                  40.7   \n",
+       "BMI                                       30+                                                                      37.6   \n",
+       "                                          under 30                                                                 37.2   \n",
+       "Chronic cardiac disease                   no                                                                       37.2   \n",
+       "                                          yes                                                                      40.0   \n",
+       "Current COPD                              no                                                                       37.3   \n",
+       "                                          yes                                                                      60.0   \n",
+       "Dialysis                                  no                                                                       37.4   \n",
+       "                                          yes                                                                      66.7   \n",
+       "DMARDs                                    no                                                                       37.3   \n",
+       "                                          yes                                                                      33.3   \n",
+       "Dementia                                  no                                                                       37.2   \n",
+       "                                          yes                                                                      50.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                                       37.4   \n",
+       "                                          yes                                                                      20.0   \n",
+       "Learning disability                       no                                                                       37.3   \n",
+       "                                          yes                                                                      33.3   \n",
+       "SSRI (last 12 months)                     no                                                                       37.4   \n",
+       "                                          yes                                                                      40.0   \n",
+       "Chemo or radiotherapy                     no                                                                       37.4   \n",
+       "                                          yes                                                                      28.6   \n",
+       "Cancer (lung)                             no                                                                       37.4   \n",
+       "                                          yes                                                                      50.0   \n",
+       "Cancer (excluding lung/haem)              no                                                                       37.4   \n",
+       "                                          yes                                                                      40.0   \n",
+       "Cancer (haematological)                   no                                                                       37.5   \n",
+       "                                          yes                                                                      40.0   \n",
+       "\n",
+       "                                                                               Vaccinated over last 7d (%)  \n",
+       "Category                                  Group                                                             \n",
+       "overall                                   overall                                                      2.2  \n",
+       "Sex                                       F                                                            2.4  \n",
+       "                                          M                                                            2.0  \n",
+       "Age band                                  0                                                            3.1  \n",
+       "                                          0-15                                                         0.0  \n",
+       "                                          16-29                                                        3.4  \n",
+       "                                          30-34                                                        0.0  \n",
+       "                                          35-39                                                        3.1  \n",
+       "                                          40-44                                                        0.0  \n",
+       "                                          45-49                                                        3.6  \n",
+       "                                          50-54                                                        3.3  \n",
+       "                                          55-59                                                        0.0  \n",
+       "                                          60-64                                                        0.0  \n",
+       "                                          65-69                                                        0.0  \n",
+       "                                          70-74                                                        3.1  \n",
+       "                                          75-79                                                        3.2  \n",
+       "                                          80-84                                                        3.3  \n",
+       "                                          85-89                                                        3.0  \n",
+       "                                          90+                                                          0.0  \n",
+       "Ethnicity (broad categories)              Black                                                        1.2  \n",
+       "                                          Mixed                                                        2.2  \n",
+       "                                          Other                                                        1.1  \n",
+       "                                          South Asian                                                  3.3  \n",
+       "                                          Unknown                                                      1.2  \n",
+       "                                          White                                                        3.6  \n",
+       "ethnicity 16 groups                        African                                                     0.0  \n",
+       "                                           Bangladeshi or British Bangladeshi                          4.2  \n",
+       "                                           Caribbean                                                   3.8  \n",
+       "                                           Chinese                                                     4.0  \n",
+       "                                           Other                                                       4.0  \n",
+       "                                           Other Asian                                                 3.7  \n",
+       "                                          British or Mixed British                                     3.5  \n",
+       "                                          Indian or British Indian                                     0.0  \n",
+       "                                          Irish                                                        0.0  \n",
+       "                                          Other Black                                                  3.8  \n",
+       "                                          Other White                                                  3.5  \n",
+       "                                          Other mixed                                                  0.0  \n",
+       "                                          Pakistani or British Pakistani                               3.6  \n",
+       "                                          Unknown                                                      2.6  \n",
+       "                                          White + Asian                                                0.0  \n",
+       "                                          White + Black African                                        3.5  \n",
+       "                                          White + Black Caribbean                                      3.5  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              2.0  \n",
+       "                                          2                                                            2.1  \n",
+       "                                          3                                                            3.3  \n",
+       "                                          4                                                            2.9  \n",
+       "                                          5 Least deprived                                             2.0  \n",
+       "                                          Unknown                                                      0.0  \n",
+       "BMI                                       30+                                                          1.9  \n",
+       "                                          under 30                                                     2.3  \n",
+       "Chronic cardiac disease                   no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Current COPD                              no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dialysis                                  no                                                           2.1  \n",
+       "                                          yes                                                          0.0  \n",
+       "DMARDs                                    no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dementia                                  no                                                           2.4  \n",
+       "                                          yes                                                          0.0  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Learning disability                       no                                                           2.3  \n",
+       "                                          yes                                                          8.4  \n",
+       "SSRI (last 12 months)                     no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (lung)                             no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (haematological)                   no                                                           2.2  \n",
+       "                                          yes                                                          0.0  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**Footnotes:**\n",
+       "- Patient counts rounded to the nearest 7"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "- Population excludes those known to live in an elderly care home, based upon clinical coding."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "## \n",
+       " ## Cumulative vaccination figures among care home population \n",
+       " Please refer to footnotes below table for information."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
+       "      <th>Total eligible</th>\n",
+       "      <th>Previous week's vaccination coverage (%)</th>\n",
+       "      <th>Vaccinated over last 7d (%)</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Black African</th>\n",
-       "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <th>Category</th>\n",
+       "      <th>Group</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>White + Black Caribbean</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>549</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1372</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
-       "      <th>1 Most deprived</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
        "      <td>266</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>637</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>273</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>693</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>301</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>714</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>4.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>259</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>651</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>4.3</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>707</td>\n",
+       "      <td>35.6</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5 Least deprived</th>\n",
-       "      <td>252</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>651</td>\n",
-       "      <td>36.6</td>\n",
+       "      <th>M</th>\n",
+       "      <td>280</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>665</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36.0</td>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
+       "      <th>0</th>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>46.2</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
-       "      <th>30+</th>\n",
-       "      <td>441</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>1085</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>under 30</th>\n",
-       "      <td>980</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2429</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>0-15</th>\n",
+       "      <td>28</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>16-29</th>\n",
        "      <td>42</td>\n",
        "      <td>50.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>8.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>30-34</th>\n",
        "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.4</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dialysis</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>35-39</th>\n",
+       "      <td>42</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>40-44</th>\n",
        "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>60.0</td>\n",
+       "      <td>27.3</td>\n",
+       "      <td>77</td>\n",
+       "      <td>27.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>45-49</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>8.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
+       "      <th>50-54</th>\n",
        "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>20.0</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th>55-59</th>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
+       "      <th>60-64</th>\n",
+       "      <td>49</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>98</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65-69</th>\n",
+       "      <td>21</td>\n",
        "      <td>25.0</td>\n",
-       "      <td>28</td>\n",
+       "      <td>84</td>\n",
        "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.2</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>70-74</th>\n",
+       "      <td>28</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>91</td>\n",
+       "      <td>23.1</td>\n",
+       "      <td>7.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>20.0</td>\n",
+       "      <th>75-79</th>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>7.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1393</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3437</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.6</td>\n",
+       "      <th>80-84</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
+       "      <th>85-89</th>\n",
+       "      <td>21</td>\n",
+       "      <td>27.3</td>\n",
        "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
+       "      <td>27.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th>90+</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>91</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>238</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>Mixed</th>\n",
+       "      <td>98</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>252</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>2.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
+       "      <th>Other</th>\n",
+       "      <td>84</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>217</td>\n",
+       "      <td>38.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>91</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>224</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>3.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>84</td>\n",
        "      <td>40.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>210</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>20.0</td>\n",
+       "      <th>White</th>\n",
+       "      <td>98</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>539</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>1351</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>20.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>33.3</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  1422   \n",
-       "Sex                                       F                                                         714   \n",
-       "                                          M                                                         707   \n",
-       "Age band                                  0                                                          77   \n",
-       "                                          0-15                                                       77   \n",
-       "                                          16-29                                                      98   \n",
-       "                                          30-34                                                      91   \n",
-       "                                          35-39                                                      91   \n",
-       "                                          40-44                                                      98   \n",
-       "                                          45-49                                                      77   \n",
-       "                                          50-54                                                      98   \n",
-       "                                          55-59                                                      91   \n",
-       "                                          60-64                                                      70   \n",
-       "                                          65-69                                                      91   \n",
-       "                                          70-74                                                     105   \n",
-       "                                          75-79                                                      77   \n",
-       "                                          80-84                                                      77   \n",
-       "                                          85-89                                                      98   \n",
-       "                                          90+                                                        91   \n",
-       "Ethnicity (broad categories)              Black                                                     238   \n",
-       "                                          Mixed                                                     252   \n",
-       "                                          Other                                                     224   \n",
-       "                                          South Asian                                               238   \n",
-       "                                          Unknown                                                   224   \n",
-       "                                          White                                                     245   \n",
-       "ethnicity 16 groups                        African                                                   77   \n",
-       "                                           Bangladeshi or British Bangladeshi                        91   \n",
-       "                                           Caribbean                                                 63   \n",
-       "                                           Chinese                                                   63   \n",
-       "                                           Other                                                     70   \n",
-       "                                           Other Asian                                               98   \n",
-       "                                          British or Mixed British                                   70   \n",
-       "                                          Indian or British Indian                                   70   \n",
-       "                                          Irish                                                      63   \n",
-       "                                          Other Black                                                70   \n",
-       "                                          Other White                                                84   \n",
-       "                                          Other mixed                                                84   \n",
-       "                                          Pakistani or British Pakistani                             63   \n",
-       "                                          Unknown                                                   238   \n",
-       "                                          White + Asian                                              77   \n",
-       "                                          White + Black African                                      70   \n",
-       "                                          White + Black Caribbean                                    70   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           266   \n",
-       "                                          2                                                         273   \n",
-       "                                          3                                                         301   \n",
-       "                                          4                                                         259   \n",
-       "                                          5 Least deprived                                          252   \n",
-       "                                          Unknown                                                    63   \n",
-       "BMI                                       30+                                                       441   \n",
-       "                                          under 30                                                  980   \n",
-       "Chronic cardiac disease                   no                                                       1400   \n",
-       "                                          yes                                                        21   \n",
-       "Current COPD                              no                                                       1407   \n",
-       "                                          yes                                                        14   \n",
-       "Dialysis                                  no                                                       1400   \n",
-       "                                          yes                                                        21   \n",
-       "DMARDs                                    no                                                       1407   \n",
-       "                                          yes                                                        21   \n",
-       "Dementia                                  no                                                       1414   \n",
-       "                                          yes                                                         7   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       1414   \n",
-       "                                          yes                                                        14   \n",
-       "Learning disability                       no                                                       1393   \n",
-       "                                          yes                                                        35   \n",
-       "SSRI (last 12 months)                     no                                                       1414   \n",
-       "                                          yes                                                         7   \n",
-       "Chemo or radiotherapy                     no                                                       1407   \n",
-       "                                          yes                                                        14   \n",
-       "Cancer (lung)                             no                                                       1407   \n",
-       "                                          yes                                                        14   \n",
-       "Cancer (excluding lung/haem)              no                                                       1400   \n",
-       "                                          yes                                                        21   \n",
-       "Cancer (haematological)                   no                                                       1407   \n",
-       "                                          yes                                                        21   \n",
+       "                                          Vaccinated at 30 Mar (n)  \\\n",
+       "Category                     Group                                   \n",
+       "overall                      overall                           549   \n",
+       "Sex                          F                                 266   \n",
+       "                             M                                 280   \n",
+       "Age band                     0                                  42   \n",
+       "                             0-15                               28   \n",
+       "                             16-29                              42   \n",
+       "                             30-34                              28   \n",
+       "                             35-39                              42   \n",
+       "                             40-44                              21   \n",
+       "                             45-49                              35   \n",
+       "                             50-54                              35   \n",
+       "                             55-59                              42   \n",
+       "                             60-64                              49   \n",
+       "                             65-69                              21   \n",
+       "                             70-74                              28   \n",
+       "                             75-79                              42   \n",
+       "                             80-84                              35   \n",
+       "                             85-89                              21   \n",
+       "                             90+                                35   \n",
+       "Ethnicity (broad categories) Black                              91   \n",
+       "                             Mixed                              98   \n",
+       "                             Other                              84   \n",
+       "                             South Asian                        91   \n",
+       "                             Unknown                            84   \n",
+       "                             White                              98   \n",
+       "Dementia                     no                                539   \n",
+       "                             yes                                 7   \n",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  40.5   \n",
-       "Sex                                       F                                                        40.2   \n",
-       "                                          M                                                        40.7   \n",
-       "Age band                                  0                                                        35.5   \n",
-       "                                          0-15                                                     37.9   \n",
-       "                                          16-29                                                    41.2   \n",
-       "                                          30-34                                                    40.6   \n",
-       "                                          35-39                                                    41.9   \n",
-       "                                          40-44                                                    41.2   \n",
-       "                                          45-49                                                    37.9   \n",
-       "                                          50-54                                                    41.2   \n",
-       "                                          55-59                                                    44.8   \n",
-       "                                          60-64                                                    38.5   \n",
-       "                                          65-69                                                    41.9   \n",
-       "                                          70-74                                                    42.9   \n",
-       "                                          75-79                                                    34.4   \n",
-       "                                          80-84                                                    36.7   \n",
-       "                                          85-89                                                    42.4   \n",
-       "                                          90+                                                      40.6   \n",
-       "Ethnicity (broad categories)              Black                                                    40.5   \n",
-       "                                          Mixed                                                    41.4   \n",
-       "                                          Other                                                    38.6   \n",
-       "                                          South Asian                                              40.5   \n",
-       "                                          Unknown                                                  40.5   \n",
-       "                                          White                                                    41.7   \n",
-       "ethnicity 16 groups                        African                                                 40.7   \n",
-       "                                           Bangladeshi or British Bangladeshi                      46.4   \n",
-       "                                           Caribbean                                               39.1   \n",
-       "                                           Chinese                                                 34.6   \n",
-       "                                           Other                                                   45.5   \n",
-       "                                           Other Asian                                             45.2   \n",
-       "                                          British or Mixed British                                 43.5   \n",
-       "                                          Indian or British Indian                                 41.7   \n",
-       "                                          Irish                                                    36.0   \n",
-       "                                          Other Black                                              37.0   \n",
-       "                                          Other White                                              46.2   \n",
-       "                                          Other mixed                                              41.4   \n",
-       "                                          Pakistani or British Pakistani                           36.0   \n",
-       "                                          Unknown                                                  41.5   \n",
-       "                                          White + Asian                                            35.5   \n",
-       "                                          White + Black African                                    40.0   \n",
-       "                                          White + Black Caribbean                                  37.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          41.8   \n",
-       "                                          2                                                        39.4   \n",
-       "                                          3                                                        42.2   \n",
-       "                                          4                                                        39.8   \n",
-       "                                          5 Least deprived                                         38.7   \n",
-       "                                          Unknown                                                  36.0   \n",
-       "BMI                                       30+                                                      40.6   \n",
-       "                                          under 30                                                 40.3   \n",
-       "Chronic cardiac disease                   no                                                       40.3   \n",
-       "                                          yes                                                      50.0   \n",
-       "Current COPD                              no                                                       40.4   \n",
-       "                                          yes                                                      50.0   \n",
-       "Dialysis                                  no                                                       40.3   \n",
-       "                                          yes                                                      60.0   \n",
-       "DMARDs                                    no                                                       40.4   \n",
-       "                                          yes                                                      60.0   \n",
-       "Dementia                                  no                                                       40.6   \n",
-       "                                          yes                                                      25.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       40.6   \n",
-       "                                          yes                                                      40.0   \n",
-       "Learning disability                       no                                                       40.5   \n",
-       "                                          yes                                                      45.5   \n",
-       "SSRI (last 12 months)                     no                                                       40.6   \n",
-       "                                          yes                                                      33.3   \n",
-       "Chemo or radiotherapy                     no                                                       40.4   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (lung)                             no                                                       40.4   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (excluding lung/haem)              no                                                       40.2   \n",
-       "                                          yes                                                      60.0   \n",
-       "Cancer (haematological)                   no                                                       40.5   \n",
-       "                                          yes                                                      60.0   \n",
+       "                                          Vaccinated at 30 Mar (%)  \\\n",
+       "Category                     Group                                   \n",
+       "overall                      overall                          40.0   \n",
+       "Sex                          F                                37.6   \n",
+       "                             M                                42.1   \n",
+       "Age band                     0                                46.2   \n",
+       "                             0-15                             36.4   \n",
+       "                             16-29                            50.0   \n",
+       "                             30-34                            36.4   \n",
+       "                             35-39                            42.9   \n",
+       "                             40-44                            27.3   \n",
+       "                             45-49                            41.7   \n",
+       "                             50-54                            41.7   \n",
+       "                             55-59                            46.2   \n",
+       "                             60-64                            50.0   \n",
+       "                             65-69                            25.0   \n",
+       "                             70-74                            30.8   \n",
+       "                             75-79                            46.2   \n",
+       "                             80-84                            41.7   \n",
+       "                             85-89                            27.3   \n",
+       "                             90+                              41.7   \n",
+       "Ethnicity (broad categories) Black                            38.2   \n",
+       "                             Mixed                            38.9   \n",
+       "                             Other                            38.7   \n",
+       "                             South Asian                      40.6   \n",
+       "                             Unknown                          40.0   \n",
+       "                             White                            42.4   \n",
+       "Dementia                     no                               39.9   \n",
+       "                             yes                              33.3   \n",
        "\n",
-       "                                                                               Total eligible  \\\n",
-       "Category                                  Group                                                 \n",
-       "overall                                   overall                                        3514   \n",
-       "Sex                                       F                                              1778   \n",
-       "                                          M                                              1736   \n",
-       "Age band                                  0                                               217   \n",
-       "                                          0-15                                            203   \n",
-       "                                          16-29                                           238   \n",
-       "                                          30-34                                           224   \n",
-       "                                          35-39                                           217   \n",
-       "                                          40-44                                           238   \n",
-       "                                          45-49                                           203   \n",
-       "                                          50-54                                           238   \n",
-       "                                          55-59                                           203   \n",
-       "                                          60-64                                           182   \n",
-       "                                          65-69                                           217   \n",
-       "                                          70-74                                           245   \n",
-       "                                          75-79                                           224   \n",
-       "                                          80-84                                           210   \n",
-       "                                          85-89                                           231   \n",
-       "                                          90+                                             224   \n",
-       "Ethnicity (broad categories)              Black                                           588   \n",
-       "                                          Mixed                                           609   \n",
-       "                                          Other                                           581   \n",
-       "                                          South Asian                                     588   \n",
-       "                                          Unknown                                         553   \n",
-       "                                          White                                           588   \n",
-       "ethnicity 16 groups                        African                                        189   \n",
-       "                                           Bangladeshi or British Bangladeshi             196   \n",
-       "                                           Caribbean                                      161   \n",
-       "                                           Chinese                                        182   \n",
-       "                                           Other                                          154   \n",
-       "                                           Other Asian                                    217   \n",
-       "                                          British or Mixed British                        161   \n",
-       "                                          Indian or British Indian                        168   \n",
-       "                                          Irish                                           175   \n",
-       "                                          Other Black                                     189   \n",
-       "                                          Other White                                     182   \n",
-       "                                          Other mixed                                     203   \n",
-       "                                          Pakistani or British Pakistani                  175   \n",
-       "                                          Unknown                                         574   \n",
-       "                                          White + Asian                                   217   \n",
-       "                                          White + Black African                           175   \n",
-       "                                          White + Black Caribbean                         189   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 637   \n",
-       "                                          2                                               693   \n",
-       "                                          3                                               714   \n",
-       "                                          4                                               651   \n",
-       "                                          5 Least deprived                                651   \n",
-       "                                          Unknown                                         175   \n",
-       "BMI                                       30+                                            1085   \n",
-       "                                          under 30                                       2429   \n",
-       "Chronic cardiac disease                   no                                             3472   \n",
-       "                                          yes                                              42   \n",
-       "Current COPD                              no                                             3486   \n",
-       "                                          yes                                              28   \n",
-       "Dialysis                                  no                                             3472   \n",
-       "                                          yes                                              35   \n",
-       "DMARDs                                    no                                             3479   \n",
-       "                                          yes                                              35   \n",
-       "Dementia                                  no                                             3486   \n",
-       "                                          yes                                              28   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             3479   \n",
-       "                                          yes                                              35   \n",
-       "Learning disability                       no                                             3437   \n",
-       "                                          yes                                              77   \n",
-       "SSRI (last 12 months)                     no                                             3486   \n",
-       "                                          yes                                              21   \n",
-       "Chemo or radiotherapy                     no                                             3479   \n",
-       "                                          yes                                              35   \n",
-       "Cancer (lung)                             no                                             3479   \n",
-       "                                          yes                                              35   \n",
-       "Cancer (excluding lung/haem)              no                                             3479   \n",
-       "                                          yes                                              35   \n",
-       "Cancer (haematological)                   no                                             3472   \n",
-       "                                          yes                                              35   \n",
+       "                                          Total eligible  \\\n",
+       "Category                     Group                         \n",
+       "overall                      overall                1372   \n",
+       "Sex                          F                       707   \n",
+       "                             M                       665   \n",
+       "Age band                     0                        91   \n",
+       "                             0-15                     77   \n",
+       "                             16-29                    84   \n",
+       "                             30-34                    77   \n",
+       "                             35-39                    98   \n",
+       "                             40-44                    77   \n",
+       "                             45-49                    84   \n",
+       "                             50-54                    84   \n",
+       "                             55-59                    91   \n",
+       "                             60-64                    98   \n",
+       "                             65-69                    84   \n",
+       "                             70-74                    91   \n",
+       "                             75-79                    91   \n",
+       "                             80-84                    84   \n",
+       "                             85-89                    77   \n",
+       "                             90+                      84   \n",
+       "Ethnicity (broad categories) Black                   238   \n",
+       "                             Mixed                   252   \n",
+       "                             Other                   217   \n",
+       "                             South Asian             224   \n",
+       "                             Unknown                 210   \n",
+       "                             White                   231   \n",
+       "Dementia                     no                     1351   \n",
+       "                             yes                      21   \n",
        "\n",
-       "                                                                               Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  37.1   \n",
-       "Sex                                       F                                                                        37.4   \n",
-       "                                          M                                                                        36.7   \n",
-       "Age band                                  0                                                                        32.3   \n",
-       "                                          0-15                                                                     31.0   \n",
-       "                                          16-29                                                                    38.2   \n",
-       "                                          30-34                                                                    37.5   \n",
-       "                                          35-39                                                                    38.7   \n",
-       "                                          40-44                                                                    38.2   \n",
-       "                                          45-49                                                                    34.5   \n",
-       "                                          50-54                                                                    38.2   \n",
-       "                                          55-59                                                                    41.4   \n",
-       "                                          60-64                                                                    34.6   \n",
-       "                                          65-69                                                                    41.9   \n",
-       "                                          70-74                                                                    37.1   \n",
-       "                                          75-79                                                                    31.2   \n",
-       "                                          80-84                                                                    36.7   \n",
-       "                                          85-89                                                                    39.4   \n",
-       "                                          90+                                                                      37.5   \n",
-       "Ethnicity (broad categories)              Black                                                                    36.9   \n",
-       "                                          Mixed                                                                    36.8   \n",
-       "                                          Other                                                                    36.1   \n",
-       "                                          South Asian                                                              38.1   \n",
-       "                                          Unknown                                                                  38.0   \n",
-       "                                          White                                                                    36.9   \n",
-       "ethnicity 16 groups                        African                                                                 37.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      42.9   \n",
-       "                                           Caribbean                                                               34.8   \n",
-       "                                           Chinese                                                                 30.8   \n",
-       "                                           Other                                                                   40.9   \n",
-       "                                           Other Asian                                                             38.7   \n",
-       "                                          British or Mixed British                                                 39.1   \n",
-       "                                          Indian or British Indian                                                 41.7   \n",
-       "                                          Irish                                                                    32.0   \n",
-       "                                          Other Black                                                              33.3   \n",
-       "                                          Other White                                                              42.3   \n",
-       "                                          Other mixed                                                              37.9   \n",
-       "                                          Pakistani or British Pakistani                                           36.0   \n",
-       "                                          Unknown                                                                  36.6   \n",
-       "                                          White + Asian                                                            32.3   \n",
-       "                                          White + Black African                                                    36.0   \n",
-       "                                          White + Black Caribbean                                                  33.3   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          38.5   \n",
-       "                                          2                                                                        36.4   \n",
-       "                                          3                                                                        38.2   \n",
-       "                                          4                                                                        35.5   \n",
-       "                                          5 Least deprived                                                         36.6   \n",
-       "                                          Unknown                                                                  36.0   \n",
-       "BMI                                       30+                                                                      37.4   \n",
-       "                                          under 30                                                                 36.9   \n",
-       "Chronic cardiac disease                   no                                                                       36.9   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Current COPD                              no                                                                       36.9   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Dialysis                                  no                                                                       36.9   \n",
-       "                                          yes                                                                      60.0   \n",
-       "DMARDs                                    no                                                                       37.0   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Dementia                                  no                                                                       37.1   \n",
-       "                                          yes                                                                      25.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       37.2   \n",
-       "                                          yes                                                                      20.0   \n",
-       "Learning disability                       no                                                                       36.9   \n",
-       "                                          yes                                                                      45.5   \n",
-       "SSRI (last 12 months)                     no                                                                       37.1   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Chemo or radiotherapy                     no                                                                       37.0   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Cancer (lung)                             no                                                                       37.0   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Cancer (excluding lung/haem)              no                                                                       37.0   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Cancer (haematological)                   no                                                                       37.1   \n",
-       "                                          yes                                                                      40.0   \n",
+       "                                          Previous week's vaccination coverage (%)  \\\n",
+       "Category                     Group                                                   \n",
+       "overall                      overall                                          37.8   \n",
+       "Sex                          F                                                35.6   \n",
+       "                             M                                                40.0   \n",
+       "Age band                     0                                                46.2   \n",
+       "                             0-15                                             36.4   \n",
+       "                             16-29                                            41.7   \n",
+       "                             30-34                                            36.4   \n",
+       "                             35-39                                            42.9   \n",
+       "                             40-44                                            27.3   \n",
+       "                             45-49                                            33.3   \n",
+       "                             50-54                                            41.7   \n",
+       "                             55-59                                            46.2   \n",
+       "                             60-64                                            50.0   \n",
+       "                             65-69                                            25.0   \n",
+       "                             70-74                                            23.1   \n",
+       "                             75-79                                            38.5   \n",
+       "                             80-84                                            41.7   \n",
+       "                             85-89                                            27.3   \n",
+       "                             90+                                              41.7   \n",
+       "Ethnicity (broad categories) Black                                            35.3   \n",
+       "                             Mixed                                            36.1   \n",
+       "                             Other                                            38.7   \n",
+       "                             South Asian                                      37.5   \n",
+       "                             Unknown                                          36.7   \n",
+       "                             White                                            39.4   \n",
+       "Dementia                     no                                               37.8   \n",
+       "                             yes                                               0.0   \n",
        "\n",
-       "                                                                               Vaccinated over last 7d (%)  \n",
-       "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      3.4  \n",
-       "Sex                                       F                                                            2.8  \n",
-       "                                          M                                                            4.0  \n",
-       "Age band                                  0                                                            3.2  \n",
-       "                                          0-15                                                         6.9  \n",
-       "                                          16-29                                                        3.0  \n",
-       "                                          30-34                                                        3.1  \n",
-       "                                          35-39                                                        3.2  \n",
-       "                                          40-44                                                        3.0  \n",
-       "                                          45-49                                                        3.4  \n",
-       "                                          50-54                                                        3.0  \n",
-       "                                          55-59                                                        3.4  \n",
-       "                                          60-64                                                        3.9  \n",
-       "                                          65-69                                                        0.0  \n",
-       "                                          70-74                                                        5.8  \n",
-       "                                          75-79                                                        3.2  \n",
-       "                                          80-84                                                        0.0  \n",
-       "                                          85-89                                                        3.0  \n",
-       "                                          90+                                                          3.1  \n",
-       "Ethnicity (broad categories)              Black                                                        3.6  \n",
-       "                                          Mixed                                                        4.6  \n",
-       "                                          Other                                                        2.5  \n",
-       "                                          South Asian                                                  2.4  \n",
-       "                                          Unknown                                                      2.5  \n",
-       "                                          White                                                        4.8  \n",
-       "ethnicity 16 groups                        African                                                     3.7  \n",
-       "                                           Bangladeshi or British Bangladeshi                          3.5  \n",
-       "                                           Caribbean                                                   4.3  \n",
-       "                                           Chinese                                                     3.8  \n",
-       "                                           Other                                                       4.6  \n",
-       "                                           Other Asian                                                 6.5  \n",
-       "                                          British or Mixed British                                     4.4  \n",
-       "                                          Indian or British Indian                                     0.0  \n",
-       "                                          Irish                                                        4.0  \n",
-       "                                          Other Black                                                  3.7  \n",
-       "                                          Other White                                                  3.9  \n",
-       "                                          Other mixed                                                  3.5  \n",
-       "                                          Pakistani or British Pakistani                               0.0  \n",
-       "                                          Unknown                                                      4.9  \n",
-       "                                          White + Asian                                                3.2  \n",
-       "                                          White + Black African                                        4.0  \n",
-       "                                          White + Black Caribbean                                      3.7  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.3  \n",
-       "                                          2                                                            3.0  \n",
-       "                                          3                                                            4.0  \n",
-       "                                          4                                                            4.3  \n",
-       "                                          5 Least deprived                                             2.1  \n",
-       "                                          Unknown                                                      0.0  \n",
-       "BMI                                       30+                                                          3.2  \n",
-       "                                          under 30                                                     3.4  \n",
-       "Chronic cardiac disease                   no                                                           3.4  \n",
-       "                                          yes                                                          0.0  \n",
-       "Current COPD                              no                                                           3.5  \n",
-       "                                          yes                                                          0.0  \n",
-       "Dialysis                                  no                                                           3.4  \n",
-       "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           3.4  \n",
-       "                                          yes                                                         20.0  \n",
-       "Dementia                                  no                                                           3.5  \n",
-       "                                          yes                                                          0.0  \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                           3.4  \n",
-       "                                          yes                                                         20.0  \n",
-       "Learning disability                       no                                                           3.6  \n",
-       "                                          yes                                                          0.0  \n",
-       "SSRI (last 12 months)                     no                                                           3.5  \n",
-       "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           3.4  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (lung)                             no                                                           3.4  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.2  \n",
-       "                                          yes                                                         20.0  \n",
-       "Cancer (haematological)                   no                                                           3.4  \n",
-       "                                          yes                                                         20.0  "
+       "                                          Vaccinated over last 7d (%)  \n",
+       "Category                     Group                                     \n",
+       "overall                      overall                              2.2  \n",
+       "Sex                          F                                    2.0  \n",
+       "                             M                                    2.1  \n",
+       "Age band                     0                                    0.0  \n",
+       "                             0-15                                 0.0  \n",
+       "                             16-29                                8.3  \n",
+       "                             30-34                                0.0  \n",
+       "                             35-39                                0.0  \n",
+       "                             40-44                                0.0  \n",
+       "                             45-49                                8.4  \n",
+       "                             50-54                                0.0  \n",
+       "                             55-59                                0.0  \n",
+       "                             60-64                                0.0  \n",
+       "                             65-69                                0.0  \n",
+       "                             70-74                                7.7  \n",
+       "                             75-79                                7.7  \n",
+       "                             80-84                                0.0  \n",
+       "                             85-89                                0.0  \n",
+       "                             90+                                  0.0  \n",
+       "Ethnicity (broad categories) Black                                2.9  \n",
+       "                             Mixed                                2.8  \n",
+       "                             Other                                0.0  \n",
+       "                             South Asian                          3.1  \n",
+       "                             Unknown                              3.3  \n",
+       "                             White                                3.0  \n",
+       "Dementia                     no                                   2.1  \n",
+       "                             yes                                 33.3  "
       ]
      },
      "metadata": {},
@@ -25697,19 +32010,7 @@
     {
      "data": {
       "text/markdown": [
-       "- Population excludes those known to live in an elderly care home, based upon clinical coding."
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
+       "- Population includes those known to live in an elderly care home, based upon clinical coding."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -25722,7 +32023,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among care home population \n",
+       " ## Cumulative vaccination figures among shielding (aged 16-69) population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -25754,8 +32055,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
        "      <th>Total eligible</th>\n",
        "      <th>Previous week's vaccination coverage (%)</th>\n",
        "      <th>Vaccinated over last 7d (%)</th>\n",
@@ -25769,141 +32070,151 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>153</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>413</td>\n",
+       "      <td>35.4</td>\n",
+       "      <td>1.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">newly shielded since feb 15</th>\n",
+       "      <th>no</th>\n",
+       "      <td>154</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>406</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.7</td>\n",
+       "    </tr>\n",
        "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>530</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>1414</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>3.1</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>273</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>721</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>3.9</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>259</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>693</td>\n",
-       "      <td>34.3</td>\n",
-       "      <td>3.1</td>\n",
+       "      <td>77</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>203</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
+       "      <th rowspan=\"7\" valign=\"top\">Age band</th>\n",
+       "      <th>16-29</th>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
+       "      <th>30-39</th>\n",
+       "      <td>21</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16-29</th>\n",
-       "      <td>42</td>\n",
+       "      <th>40-49</th>\n",
+       "      <td>21</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
+       "      <td>56</td>\n",
        "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30-34</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <th>50-59</th>\n",
+       "      <td>14</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>6.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-44</th>\n",
+       "      <th>60-69</th>\n",
        "      <td>21</td>\n",
-       "      <td>27.3</td>\n",
-       "      <td>77</td>\n",
-       "      <td>27.3</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45-49</th>\n",
+       "      <th>70-79</th>\n",
        "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>30.8</td>\n",
-       "      <td>7.7</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>98</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50-54</th>\n",
-       "      <td>28</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>80+</th>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>55-59</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>63</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>60-64</th>\n",
+       "      <th>Mixed</th>\n",
        "      <td>35</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>98</td>\n",
-       "      <td>35.7</td>\n",
+       "      <td>45.5</td>\n",
+       "      <td>77</td>\n",
+       "      <td>45.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>65-69</th>\n",
+       "      <th>Other</th>\n",
        "      <td>28</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.4</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-74</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>41.7</td>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>75-79</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>63</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80-84</th>\n",
+       "      <th>White</th>\n",
        "      <td>21</td>\n",
        "      <td>33.3</td>\n",
        "      <td>63</td>\n",
@@ -25911,241 +32222,220 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>85-89</th>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
+       "      <th>1 Most deprived</th>\n",
        "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>90+</th>\n",
+       "      <th>2</th>\n",
        "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>91</td>\n",
+       "      <td>30.8</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>98</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>252</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>2.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>98</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>273</td>\n",
+       "      <th>3</th>\n",
+       "      <td>28</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>2.6</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>South Asian</th>\n",
+       "      <th>4</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
        "      <td>84</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>231</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>3.1</td>\n",
+       "      <td>8.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>37.0</td>\n",
+       "      <th>5 Least deprived</th>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>77</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>224</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>3.2</td>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
        "      <th>no</th>\n",
-       "      <td>525</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>1393</td>\n",
-       "      <td>34.7</td>\n",
-       "      <td>3.0</td>\n",
+       "      <td>147</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>406</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>1.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
+       "      <td>7</td>\n",
        "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                          Vaccinated at 05 Mar (n)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                           530   \n",
-       "Sex                          F                                 273   \n",
-       "                             M                                 259   \n",
-       "Age band                     0                                  35   \n",
-       "                             0-15                               35   \n",
-       "                             16-29                              42   \n",
-       "                             30-34                              28   \n",
-       "                             35-39                              42   \n",
-       "                             40-44                              21   \n",
-       "                             45-49                              35   \n",
-       "                             50-54                              28   \n",
-       "                             55-59                              35   \n",
-       "                             60-64                              35   \n",
-       "                             65-69                              28   \n",
-       "                             70-74                              35   \n",
-       "                             75-79                              35   \n",
-       "                             80-84                              21   \n",
-       "                             85-89                              28   \n",
-       "                             90+                                28   \n",
-       "Ethnicity (broad categories) Black                              98   \n",
-       "                             Mixed                              98   \n",
-       "                             Other                              98   \n",
-       "                             South Asian                        84   \n",
-       "                             Unknown                            70   \n",
-       "                             White                              77   \n",
-       "Dementia                     no                                525   \n",
-       "                             yes                                 0   \n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                            Vaccinated at 30 Mar (n)  \\\n",
+       "Category                                  Group                                        \n",
+       "overall                                   overall                                153   \n",
+       "newly shielded since feb 15               no                                     154   \n",
+       "                                          yes                                      0   \n",
+       "Sex                                       F                                       77   \n",
+       "                                          M                                       77   \n",
+       "Age band                                  16-29                                   21   \n",
+       "                                          30-39                                   21   \n",
+       "                                          40-49                                   21   \n",
+       "                                          50-59                                   14   \n",
+       "                                          60-69                                   21   \n",
+       "                                          70-79                                   35   \n",
+       "                                          80+                                     21   \n",
+       "Ethnicity (broad categories)              Black                                   21   \n",
+       "                                          Mixed                                   35   \n",
+       "                                          Other                                   28   \n",
+       "                                          South Asian                             28   \n",
+       "                                          Unknown                                 21   \n",
+       "                                          White                                   21   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                         28   \n",
+       "                                          2                                       28   \n",
+       "                                          3                                       28   \n",
+       "                                          4                                       35   \n",
+       "                                          5 Least deprived                        28   \n",
+       "                                          Unknown                                  7   \n",
+       "Learning disability                       no                                     147   \n",
+       "                                          yes                                      0   \n",
        "\n",
-       "                                          Vaccinated at 05 Mar (%)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                          37.5   \n",
-       "Sex                          F                                37.9   \n",
-       "                             M                                37.4   \n",
-       "Age band                     0                                45.5   \n",
-       "                             0-15                             38.5   \n",
-       "                             16-29                            37.5   \n",
-       "                             30-34                            36.4   \n",
-       "                             35-39                            40.0   \n",
-       "                             40-44                            27.3   \n",
-       "                             45-49                            38.5   \n",
-       "                             50-54                            33.3   \n",
-       "                             55-59                            38.5   \n",
-       "                             60-64                            35.7   \n",
-       "                             65-69                            26.7   \n",
-       "                             70-74                            41.7   \n",
-       "                             75-79                            38.5   \n",
-       "                             80-84                            33.3   \n",
-       "                             85-89                            36.4   \n",
-       "                             90+                              36.4   \n",
-       "Ethnicity (broad categories) Black                            41.2   \n",
-       "                             Mixed                            38.9   \n",
-       "                             Other                            35.9   \n",
-       "                             South Asian                      36.4   \n",
-       "                             Unknown                          37.0   \n",
-       "                             White                            34.4   \n",
-       "Dementia                     no                               37.7   \n",
-       "                             yes                               0.0   \n",
+       "                                                            Vaccinated at 30 Mar (%)  \\\n",
+       "Category                                  Group                                        \n",
+       "overall                                   overall                               37.0   \n",
+       "newly shielded since feb 15               no                                    37.9   \n",
+       "                                          yes                                    NaN   \n",
+       "Sex                                       F                                     36.7   \n",
+       "                                          M                                     37.9   \n",
+       "Age band                                  16-29                                 37.5   \n",
+       "                                          30-39                                 50.0   \n",
+       "                                          40-49                                 37.5   \n",
+       "                                          50-59                                 28.6   \n",
+       "                                          60-69                                 42.9   \n",
+       "                                          70-79                                 35.7   \n",
+       "                                          80+                                   37.5   \n",
+       "Ethnicity (broad categories)              Black                                 33.3   \n",
+       "                                          Mixed                                 45.5   \n",
+       "                                          Other                                 36.4   \n",
+       "                                          South Asian                           44.4   \n",
+       "                                          Unknown                               33.3   \n",
+       "                                          White                                 33.3   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                       40.0   \n",
+       "                                          2                                     30.8   \n",
+       "                                          3                                     33.3   \n",
+       "                                          4                                     41.7   \n",
+       "                                          5 Least deprived                      44.4   \n",
+       "                                          Unknown                               33.3   \n",
+       "Learning disability                       no                                    36.2   \n",
+       "                                          yes                                    0.0   \n",
        "\n",
-       "                                          Total eligible  \\\n",
-       "Category                     Group                         \n",
-       "overall                      overall                1414   \n",
-       "Sex                          F                       721   \n",
-       "                             M                       693   \n",
-       "Age band                     0                        77   \n",
-       "                             0-15                     91   \n",
-       "                             16-29                   112   \n",
-       "                             30-34                    77   \n",
-       "                             35-39                   105   \n",
-       "                             40-44                    77   \n",
-       "                             45-49                    91   \n",
-       "                             50-54                    84   \n",
-       "                             55-59                    91   \n",
-       "                             60-64                    98   \n",
-       "                             65-69                   105   \n",
-       "                             70-74                    84   \n",
-       "                             75-79                    91   \n",
-       "                             80-84                    63   \n",
-       "                             85-89                    77   \n",
-       "                             90+                      77   \n",
-       "Ethnicity (broad categories) Black                   238   \n",
-       "                             Mixed                   252   \n",
-       "                             Other                   273   \n",
-       "                             South Asian             231   \n",
-       "                             Unknown                 189   \n",
-       "                             White                   224   \n",
-       "Dementia                     no                     1393   \n",
-       "                             yes                      14   \n",
+       "                                                            Total eligible  \\\n",
+       "Category                                  Group                              \n",
+       "overall                                   overall                      413   \n",
+       "newly shielded since feb 15               no                           406   \n",
+       "                                          yes                            0   \n",
+       "Sex                                       F                            210   \n",
+       "                                          M                            203   \n",
+       "Age band                                  16-29                         56   \n",
+       "                                          30-39                         42   \n",
+       "                                          40-49                         56   \n",
+       "                                          50-59                         49   \n",
+       "                                          60-69                         49   \n",
+       "                                          70-79                         98   \n",
+       "                                          80+                           56   \n",
+       "Ethnicity (broad categories)              Black                         63   \n",
+       "                                          Mixed                         77   \n",
+       "                                          Other                         77   \n",
+       "                                          South Asian                   63   \n",
+       "                                          Unknown                       63   \n",
+       "                                          White                         63   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived               70   \n",
+       "                                          2                             91   \n",
+       "                                          3                             84   \n",
+       "                                          4                             84   \n",
+       "                                          5 Least deprived              63   \n",
+       "                                          Unknown                       21   \n",
+       "Learning disability                       no                           406   \n",
+       "                                          yes                            7   \n",
        "\n",
-       "                                          Previous week's vaccination coverage (%)  \\\n",
-       "Category                     Group                                                   \n",
-       "overall                      overall                                          34.4   \n",
-       "Sex                          F                                                34.0   \n",
-       "                             M                                                34.3   \n",
-       "Age band                     0                                                45.5   \n",
-       "                             0-15                                             38.5   \n",
-       "                             16-29                                            37.5   \n",
-       "                             30-34                                            36.4   \n",
-       "                             35-39                                            33.3   \n",
-       "                             40-44                                            27.3   \n",
-       "                             45-49                                            30.8   \n",
-       "                             50-54                                            33.3   \n",
-       "                             55-59                                            38.5   \n",
-       "                             60-64                                            35.7   \n",
-       "                             65-69                                            26.7   \n",
-       "                             70-74                                            41.7   \n",
-       "                             75-79                                            38.5   \n",
-       "                             80-84                                            33.3   \n",
-       "                             85-89                                            36.4   \n",
-       "                             90+                                              36.4   \n",
-       "Ethnicity (broad categories) Black                                            35.3   \n",
-       "                             Mixed                                            36.1   \n",
-       "                             Other                                            33.3   \n",
-       "                             South Asian                                      33.3   \n",
-       "                             Unknown                                          37.0   \n",
-       "                             White                                            31.2   \n",
-       "Dementia                     no                                               34.7   \n",
-       "                             yes                                               0.0   \n",
+       "                                                            Previous week's vaccination coverage (%)  \\\n",
+       "Category                                  Group                                                        \n",
+       "overall                                   overall                                               35.4   \n",
+       "newly shielded since feb 15               no                                                    36.2   \n",
+       "                                          yes                                                    NaN   \n",
+       "Sex                                       F                                                     33.3   \n",
+       "                                          M                                                     34.5   \n",
+       "Age band                                  16-29                                                 37.5   \n",
+       "                                          30-39                                                 50.0   \n",
+       "                                          40-49                                                 37.5   \n",
+       "                                          50-59                                                 28.6   \n",
+       "                                          60-69                                                 42.9   \n",
+       "                                          70-79                                                 35.7   \n",
+       "                                          80+                                                   37.5   \n",
+       "Ethnicity (broad categories)              Black                                                 33.3   \n",
+       "                                          Mixed                                                 45.5   \n",
+       "                                          Other                                                 36.4   \n",
+       "                                          South Asian                                           44.4   \n",
+       "                                          Unknown                                               33.3   \n",
+       "                                          White                                                 33.3   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                       40.0   \n",
+       "                                          2                                                     30.8   \n",
+       "                                          3                                                     33.3   \n",
+       "                                          4                                                     33.3   \n",
+       "                                          5 Least deprived                                      44.4   \n",
+       "                                          Unknown                                               33.3   \n",
+       "Learning disability                       no                                                    34.5   \n",
+       "                                          yes                                                    0.0   \n",
        "\n",
-       "                                          Vaccinated over last 7d (%)  \n",
-       "Category                     Group                                     \n",
-       "overall                      overall                              3.1  \n",
-       "Sex                          F                                    3.9  \n",
-       "                             M                                    3.1  \n",
-       "Age band                     0                                    0.0  \n",
-       "                             0-15                                 0.0  \n",
-       "                             16-29                                0.0  \n",
-       "                             30-34                                0.0  \n",
-       "                             35-39                                6.7  \n",
-       "                             40-44                                0.0  \n",
-       "                             45-49                                7.7  \n",
-       "                             50-54                                0.0  \n",
-       "                             55-59                                0.0  \n",
-       "                             60-64                                0.0  \n",
-       "                             65-69                                0.0  \n",
-       "                             70-74                                0.0  \n",
-       "                             75-79                                0.0  \n",
-       "                             80-84                                0.0  \n",
-       "                             85-89                                0.0  \n",
-       "                             90+                                  0.0  \n",
-       "Ethnicity (broad categories) Black                                5.9  \n",
-       "                             Mixed                                2.8  \n",
-       "                             Other                                2.6  \n",
-       "                             South Asian                          3.1  \n",
-       "                             Unknown                              0.0  \n",
-       "                             White                                3.2  \n",
-       "Dementia                     no                                   3.0  \n",
-       "                             yes                                  0.0  "
+       "                                                            Vaccinated over last 7d (%)  \n",
+       "Category                                  Group                                          \n",
+       "overall                                   overall                                   1.6  \n",
+       "newly shielded since feb 15               no                                        1.7  \n",
+       "                                          yes                                       0.0  \n",
+       "Sex                                       F                                         3.4  \n",
+       "                                          M                                         3.4  \n",
+       "Age band                                  16-29                                     0.0  \n",
+       "                                          30-39                                     0.0  \n",
+       "                                          40-49                                     0.0  \n",
+       "                                          50-59                                     0.0  \n",
+       "                                          60-69                                     0.0  \n",
+       "                                          70-79                                     0.0  \n",
+       "                                          80+                                       0.0  \n",
+       "Ethnicity (broad categories)              Black                                     0.0  \n",
+       "                                          Mixed                                     0.0  \n",
+       "                                          Other                                     0.0  \n",
+       "                                          South Asian                               0.0  \n",
+       "                                          Unknown                                   0.0  \n",
+       "                                          White                                     0.0  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                           0.0  \n",
+       "                                          2                                         0.0  \n",
+       "                                          3                                         0.0  \n",
+       "                                          4                                         8.4  \n",
+       "                                          5 Least deprived                          0.0  \n",
+       "                                          Unknown                                   0.0  \n",
+       "Learning disability                       no                                        1.7  \n",
+       "                                          yes                                       0.0  "
       ]
      },
      "metadata": {},
@@ -26167,7 +32457,7 @@
     {
      "data": {
       "text/markdown": [
-       "- Population includes those known to live in an elderly care home, based upon clinical coding."
+       "- Population excludes those over 65 known to live in an elderly care home, based upon clinical coding."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -26180,7 +32470,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among shielding (aged 16-69) population \n",
+       " ## Cumulative vaccination figures among 65-69 population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -26212,236 +32502,486 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
        "      <th>Total eligible</th>\n",
        "      <th>Previous week's vaccination coverage (%)</th>\n",
        "      <th>Vaccinated over last 7d (%)</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Category</th>\n",
-       "      <th>Group</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
+       "      <th>Category</th>\n",
+       "      <th>Group</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>900</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2191</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
+       "      <td>476</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>427</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>3.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>154</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>378</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>1.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mixed</th>\n",
+       "      <td>154</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>378</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>1.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>140</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>364</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>3.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>147</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>371</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>126</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>308</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White</th>\n",
+       "      <td>168</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>378</td>\n",
+       "      <td>42.6</td>\n",
+       "      <td>1.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
+       "      <th>African</th>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>6.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bangladeshi or British Bangladeshi</th>\n",
+       "      <td>49</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Caribbean</th>\n",
+       "      <td>42</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chinese</th>\n",
+       "      <td>49</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>126</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>5.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Asian</th>\n",
+       "      <td>49</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>British or Mixed British</th>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indian or British Indian</th>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Irish</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Black</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>162</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>420</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>2.4</td>\n",
+       "      <th>Other White</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">newly shielded since feb 15</th>\n",
-       "      <th>no</th>\n",
-       "      <td>161</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>420</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>3.3</td>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>31.2</td>\n",
+       "      <td>6.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0</td>\n",
-       "      <td>NaN</td>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>84</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>217</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>3.2</td>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>140</td>\n",
+       "      <td>42.6</td>\n",
+       "      <td>329</td>\n",
+       "      <td>38.3</td>\n",
+       "      <td>4.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>77</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>203</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>White + Asian</th>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"7\" valign=\"top\">Age band</th>\n",
-       "      <th>16-29</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>White + Black African</th>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30-39</th>\n",
-       "      <td>21</td>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>42</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>56</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>12.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>40-49</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>182</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>462</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50-59</th>\n",
-       "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>2</th>\n",
+       "      <td>161</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>406</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>1.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>60-69</th>\n",
+       "      <th>3</th>\n",
+       "      <td>168</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>399</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>175</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>413</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>3.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5 Least deprived</th>\n",
+       "      <td>175</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>427</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>3.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>7.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
+       "      <th>30+</th>\n",
+       "      <td>280</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>672</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>2.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>under 30</th>\n",
+       "      <td>623</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1512</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>3.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-79</th>\n",
-       "      <td>35</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>98</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80+</th>\n",
-       "      <td>14</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
        "      <td>25.0</td>\n",
-       "      <td>56</td>\n",
+       "      <td>28</td>\n",
        "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>10.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
+       "      <th>no</th>\n",
+       "      <td>882</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>2135</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
        "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>63</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
+       "      <th>no</th>\n",
+       "      <td>896</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
-       "      <th>1 Most deprived</th>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30.0</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>33.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>98</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>7.2</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>2156</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>28</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>8.4</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5 Least deprived</th>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
        "      <th>no</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>413</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -26449,150 +32989,300 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                            Vaccinated at 05 Mar (n)  \\\n",
-       "Category                                  Group                                        \n",
-       "overall                                   overall                                162   \n",
-       "newly shielded since feb 15               no                                     161   \n",
-       "                                          yes                                      0   \n",
-       "Sex                                       F                                       84   \n",
-       "                                          M                                       77   \n",
-       "Age band                                  16-29                                   28   \n",
-       "                                          30-39                                   21   \n",
-       "                                          40-49                                   28   \n",
-       "                                          50-59                                   21   \n",
-       "                                          60-69                                   14   \n",
-       "                                          70-79                                   35   \n",
-       "                                          80+                                     14   \n",
-       "Ethnicity (broad categories)              Black                                   28   \n",
-       "                                          Mixed                                   28   \n",
-       "                                          Other                                   21   \n",
-       "                                          South Asian                             21   \n",
-       "                                          Unknown                                 28   \n",
-       "                                          White                                   35   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                         21   \n",
-       "                                          2                                       42   \n",
-       "                                          3                                       28   \n",
-       "                                          4                                       35   \n",
-       "                                          5 Least deprived                        28   \n",
-       "                                          Unknown                                  7   \n",
-       "Learning disability                       no                                     161   \n",
-       "                                          yes                                      0   \n",
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                   900   \n",
+       "Sex                                       F                                                         476   \n",
+       "                                          M                                                         427   \n",
+       "Ethnicity (broad categories)              Black                                                     154   \n",
+       "                                          Mixed                                                     154   \n",
+       "                                          Other                                                     140   \n",
+       "                                          South Asian                                               147   \n",
+       "                                          Unknown                                                   126   \n",
+       "                                          White                                                     168   \n",
+       "ethnicity 16 groups                        African                                                   42   \n",
+       "                                           Bangladeshi or British Bangladeshi                        49   \n",
+       "                                           Caribbean                                                 42   \n",
+       "                                           Chinese                                                   49   \n",
+       "                                           Other                                                     42   \n",
+       "                                           Other Asian                                               49   \n",
+       "                                          British or Mixed British                                   42   \n",
+       "                                          Indian or British Indian                                   49   \n",
+       "                                          Irish                                                      56   \n",
+       "                                          Other Black                                                56   \n",
+       "                                          Other White                                                56   \n",
+       "                                          Other mixed                                                42   \n",
+       "                                          Pakistani or British Pakistani                             42   \n",
+       "                                          Unknown                                                   140   \n",
+       "                                          White + Asian                                              63   \n",
+       "                                          White + Black African                                      42   \n",
+       "                                          White + Black Caribbean                                    42   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           182   \n",
+       "                                          2                                                         161   \n",
+       "                                          3                                                         168   \n",
+       "                                          4                                                         175   \n",
+       "                                          5 Least deprived                                          175   \n",
+       "                                          Unknown                                                    42   \n",
+       "BMI                                       30+                                                       280   \n",
+       "                                          under 30                                                  623   \n",
+       "Chronic cardiac disease                   no                                                        889   \n",
+       "                                          yes                                                        14   \n",
+       "Current COPD                              no                                                        889   \n",
+       "                                          yes                                                         7   \n",
+       "DMARDs                                    no                                                        889   \n",
+       "                                          yes                                                         7   \n",
+       "Dementia                                  no                                                        889   \n",
+       "                                          yes                                                         7   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                        889   \n",
+       "                                          yes                                                         7   \n",
+       "Learning disability                       no                                                        882   \n",
+       "                                          yes                                                        21   \n",
+       "SSRI (last 12 months)                     no                                                        889   \n",
+       "                                          yes                                                        14   \n",
+       "Chemo or radiotherapy                     no                                                        896   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (lung)                             no                                                        889   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (excluding lung/haem)              no                                                        889   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (haematological)                   no                                                        889   \n",
+       "                                          yes                                                        14   \n",
        "\n",
-       "                                                            Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                        \n",
-       "overall                                   overall                               38.6   \n",
-       "newly shielded since feb 15               no                                    38.3   \n",
-       "                                          yes                                    NaN   \n",
-       "Sex                                       F                                     38.7   \n",
-       "                                          M                                     37.9   \n",
-       "Age band                                  16-29                                 50.0   \n",
-       "                                          30-39                                 37.5   \n",
-       "                                          40-49                                 44.4   \n",
-       "                                          50-59                                 42.9   \n",
-       "                                          60-69                                 28.6   \n",
-       "                                          70-79                                 35.7   \n",
-       "                                          80+                                   25.0   \n",
-       "Ethnicity (broad categories)              Black                                 40.0   \n",
-       "                                          Mixed                                 44.4   \n",
-       "                                          Other                                 33.3   \n",
-       "                                          South Asian                           30.0   \n",
-       "                                          Unknown                               44.4   \n",
-       "                                          White                                 41.7   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                       30.0   \n",
-       "                                          2                                     42.9   \n",
-       "                                          3                                     33.3   \n",
-       "                                          4                                     41.7   \n",
-       "                                          5 Least deprived                      36.4   \n",
-       "                                          Unknown                               33.3   \n",
-       "Learning disability                       no                                    39.0   \n",
-       "                                          yes                                    0.0   \n",
+       "                                                                               Vaccinated at 30 Mar (%)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                  41.1   \n",
+       "Sex                                       F                                                        41.2   \n",
+       "                                          M                                                        41.2   \n",
+       "Ethnicity (broad categories)              Black                                                    40.7   \n",
+       "                                          Mixed                                                    40.7   \n",
+       "                                          Other                                                    38.5   \n",
+       "                                          South Asian                                              39.6   \n",
+       "                                          Unknown                                                  40.9   \n",
+       "                                          White                                                    44.4   \n",
+       "ethnicity 16 groups                        African                                                 40.0   \n",
+       "                                           Bangladeshi or British Bangladeshi                      46.7   \n",
+       "                                           Caribbean                                               35.3   \n",
+       "                                           Chinese                                                 38.9   \n",
+       "                                           Other                                                   37.5   \n",
+       "                                           Other Asian                                             46.7   \n",
+       "                                          British or Mixed British                                 37.5   \n",
+       "                                          Indian or British Indian                                 41.2   \n",
+       "                                          Irish                                                    44.4   \n",
+       "                                          Other Black                                              44.4   \n",
+       "                                          Other White                                              44.4   \n",
+       "                                          Other mixed                                              37.5   \n",
+       "                                          Pakistani or British Pakistani                           37.5   \n",
+       "                                          Unknown                                                  42.6   \n",
+       "                                          White + Asian                                            47.4   \n",
+       "                                          White + Black African                                    40.0   \n",
+       "                                          White + Black Caribbean                                  37.5   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          39.4   \n",
+       "                                          2                                                        39.7   \n",
+       "                                          3                                                        42.1   \n",
+       "                                          4                                                        42.4   \n",
+       "                                          5 Least deprived                                         41.0   \n",
+       "                                          Unknown                                                  46.2   \n",
+       "BMI                                       30+                                                      41.7   \n",
+       "                                          under 30                                                 41.2   \n",
+       "Chronic cardiac disease                   no                                                       41.0   \n",
+       "                                          yes                                                      66.7   \n",
+       "Current COPD                              no                                                       41.1   \n",
+       "                                          yes                                                      25.0   \n",
+       "DMARDs                                    no                                                       41.0   \n",
+       "                                          yes                                                      33.3   \n",
+       "Dementia                                  no                                                       41.1   \n",
+       "                                          yes                                                      33.3   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       41.1   \n",
+       "                                          yes                                                      33.3   \n",
+       "Learning disability                       no                                                       41.3   \n",
+       "                                          yes                                                      37.5   \n",
+       "SSRI (last 12 months)                     no                                                       41.0   \n",
+       "                                          yes                                                      66.7   \n",
+       "Chemo or radiotherapy                     no                                                       41.3   \n",
+       "                                          yes                                                      33.3   \n",
+       "Cancer (lung)                             no                                                       41.2   \n",
+       "                                          yes                                                      40.0   \n",
+       "Cancer (excluding lung/haem)              no                                                       41.1   \n",
+       "                                          yes                                                      50.0   \n",
+       "Cancer (haematological)                   no                                                       41.0   \n",
+       "                                          yes                                                      66.7   \n",
        "\n",
-       "                                                            Total eligible  \\\n",
-       "Category                                  Group                              \n",
-       "overall                                   overall                      420   \n",
-       "newly shielded since feb 15               no                           420   \n",
-       "                                          yes                            0   \n",
-       "Sex                                       F                            217   \n",
-       "                                          M                            203   \n",
-       "Age band                                  16-29                         56   \n",
-       "                                          30-39                         56   \n",
-       "                                          40-49                         63   \n",
-       "                                          50-59                         49   \n",
-       "                                          60-69                         49   \n",
-       "                                          70-79                         98   \n",
-       "                                          80+                           56   \n",
-       "Ethnicity (broad categories)              Black                         70   \n",
-       "                                          Mixed                         63   \n",
-       "                                          Other                         63   \n",
-       "                                          South Asian                   70   \n",
-       "                                          Unknown                       63   \n",
-       "                                          White                         84   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived               70   \n",
-       "                                          2                             98   \n",
-       "                                          3                             84   \n",
-       "                                          4                             84   \n",
-       "                                          5 Least deprived              77   \n",
-       "                                          Unknown                       21   \n",
-       "Learning disability                       no                           413   \n",
-       "                                          yes                            7   \n",
+       "                                                                               Total eligible  \\\n",
+       "Category                                  Group                                                 \n",
+       "overall                                   overall                                        2191   \n",
+       "Sex                                       F                                              1155   \n",
+       "                                          M                                              1036   \n",
+       "Ethnicity (broad categories)              Black                                           378   \n",
+       "                                          Mixed                                           378   \n",
+       "                                          Other                                           364   \n",
+       "                                          South Asian                                     371   \n",
+       "                                          Unknown                                         308   \n",
+       "                                          White                                           378   \n",
+       "ethnicity 16 groups                        African                                        105   \n",
+       "                                           Bangladeshi or British Bangladeshi             105   \n",
+       "                                           Caribbean                                      119   \n",
+       "                                           Chinese                                        126   \n",
+       "                                           Other                                          112   \n",
+       "                                           Other Asian                                    105   \n",
+       "                                          British or Mixed British                        112   \n",
+       "                                          Indian or British Indian                        119   \n",
+       "                                          Irish                                           126   \n",
+       "                                          Other Black                                     126   \n",
+       "                                          Other White                                     126   \n",
+       "                                          Other mixed                                     112   \n",
+       "                                          Pakistani or British Pakistani                  112   \n",
+       "                                          Unknown                                         329   \n",
+       "                                          White + Asian                                   133   \n",
+       "                                          White + Black African                           105   \n",
+       "                                          White + Black Caribbean                         112   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 462   \n",
+       "                                          2                                               406   \n",
+       "                                          3                                               399   \n",
+       "                                          4                                               413   \n",
+       "                                          5 Least deprived                                427   \n",
+       "                                          Unknown                                          91   \n",
+       "BMI                                       30+                                             672   \n",
+       "                                          under 30                                       1512   \n",
+       "Chronic cardiac disease                   no                                             2170   \n",
+       "                                          yes                                              21   \n",
+       "Current COPD                              no                                             2163   \n",
+       "                                          yes                                              28   \n",
+       "DMARDs                                    no                                             2170   \n",
+       "                                          yes                                              21   \n",
+       "Dementia                                  no                                             2163   \n",
+       "                                          yes                                              21   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             2163   \n",
+       "                                          yes                                              21   \n",
+       "Learning disability                       no                                             2135   \n",
+       "                                          yes                                              56   \n",
+       "SSRI (last 12 months)                     no                                             2170   \n",
+       "                                          yes                                              21   \n",
+       "Chemo or radiotherapy                     no                                             2170   \n",
+       "                                          yes                                              21   \n",
+       "Cancer (lung)                             no                                             2156   \n",
+       "                                          yes                                              35   \n",
+       "Cancer (excluding lung/haem)              no                                             2163   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (haematological)                   no                                             2170   \n",
+       "                                          yes                                              21   \n",
        "\n",
-       "                                                            Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                        \n",
-       "overall                                   overall                                               36.2   \n",
-       "newly shielded since feb 15               no                                                    35.0   \n",
-       "                                          yes                                                    NaN   \n",
-       "Sex                                       F                                                     35.5   \n",
-       "                                          M                                                     37.9   \n",
-       "Age band                                  16-29                                                 50.0   \n",
-       "                                          30-39                                                 25.0   \n",
-       "                                          40-49                                                 44.4   \n",
-       "                                          50-59                                                 42.9   \n",
-       "                                          60-69                                                 28.6   \n",
-       "                                          70-79                                                 35.7   \n",
-       "                                          80+                                                   25.0   \n",
-       "Ethnicity (broad categories)              Black                                                 30.0   \n",
-       "                                          Mixed                                                 44.4   \n",
-       "                                          Other                                                 33.3   \n",
-       "                                          South Asian                                           30.0   \n",
-       "                                          Unknown                                               44.4   \n",
-       "                                          White                                                 41.7   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                       30.0   \n",
-       "                                          2                                                     35.7   \n",
-       "                                          3                                                     33.3   \n",
-       "                                          4                                                     33.3   \n",
-       "                                          5 Least deprived                                      36.4   \n",
-       "                                          Unknown                                               33.3   \n",
-       "Learning disability                       no                                                    35.6   \n",
-       "                                          yes                                                    0.0   \n",
+       "                                                                               Previous week's vaccination coverage (%)  \\\n",
+       "Category                                  Group                                                                           \n",
+       "overall                                   overall                                                                  38.4   \n",
+       "Sex                                       F                                                                        38.8   \n",
+       "                                          M                                                                        37.8   \n",
+       "Ethnicity (broad categories)              Black                                                                    38.9   \n",
+       "                                          Mixed                                                                    38.9   \n",
+       "                                          Other                                                                    34.6   \n",
+       "                                          South Asian                                                              39.6   \n",
+       "                                          Unknown                                                                  38.6   \n",
+       "                                          White                                                                    42.6   \n",
+       "ethnicity 16 groups                        African                                                                 33.3   \n",
+       "                                           Bangladeshi or British Bangladeshi                                      46.7   \n",
+       "                                           Caribbean                                                               35.3   \n",
+       "                                           Chinese                                                                 33.3   \n",
+       "                                           Other                                                                   37.5   \n",
+       "                                           Other Asian                                                             46.7   \n",
+       "                                          British or Mixed British                                                 37.5   \n",
+       "                                          Indian or British Indian                                                 41.2   \n",
+       "                                          Irish                                                                    38.9   \n",
+       "                                          Other Black                                                              38.9   \n",
+       "                                          Other White                                                              38.9   \n",
+       "                                          Other mixed                                                              31.2   \n",
+       "                                          Pakistani or British Pakistani                                           37.5   \n",
+       "                                          Unknown                                                                  38.3   \n",
+       "                                          White + Asian                                                            42.1   \n",
+       "                                          White + Black African                                                    40.0   \n",
+       "                                          White + Black Caribbean                                                  37.5   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          36.4   \n",
+       "                                          2                                                                        37.9   \n",
+       "                                          3                                                                        38.6   \n",
+       "                                          4                                                                        39.0   \n",
+       "                                          5 Least deprived                                                         37.7   \n",
+       "                                          Unknown                                                                  38.5   \n",
+       "BMI                                       30+                                                                      39.6   \n",
+       "                                          under 30                                                                 38.0   \n",
+       "Chronic cardiac disease                   no                                                                       38.4   \n",
+       "                                          yes                                                                      66.7   \n",
+       "Current COPD                              no                                                                       38.5   \n",
+       "                                          yes                                                                      25.0   \n",
+       "DMARDs                                    no                                                                       38.4   \n",
+       "                                          yes                                                                      33.3   \n",
+       "Dementia                                  no                                                                       38.5   \n",
+       "                                          yes                                                                      33.3   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                                       38.5   \n",
+       "                                          yes                                                                      33.3   \n",
+       "Learning disability                       no                                                                       38.4   \n",
+       "                                          yes                                                                      37.5   \n",
+       "SSRI (last 12 months)                     no                                                                       38.1   \n",
+       "                                          yes                                                                      66.7   \n",
+       "Chemo or radiotherapy                     no                                                                       38.4   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Cancer (lung)                             no                                                                       38.6   \n",
+       "                                          yes                                                                      40.0   \n",
+       "Cancer (excluding lung/haem)              no                                                                       38.2   \n",
+       "                                          yes                                                                      50.0   \n",
+       "Cancer (haematological)                   no                                                                       38.1   \n",
+       "                                          yes                                                                      66.7   \n",
        "\n",
-       "                                                            Vaccinated over last 7d (%)  \n",
-       "Category                                  Group                                          \n",
-       "overall                                   overall                                   2.4  \n",
-       "newly shielded since feb 15               no                                        3.3  \n",
-       "                                          yes                                       0.0  \n",
-       "Sex                                       F                                         3.2  \n",
-       "                                          M                                         0.0  \n",
-       "Age band                                  16-29                                     0.0  \n",
-       "                                          30-39                                    12.5  \n",
-       "                                          40-49                                     0.0  \n",
-       "                                          50-59                                     0.0  \n",
-       "                                          60-69                                     0.0  \n",
-       "                                          70-79                                     0.0  \n",
-       "                                          80+                                       0.0  \n",
-       "Ethnicity (broad categories)              Black                                    10.0  \n",
-       "                                          Mixed                                     0.0  \n",
-       "                                          Other                                     0.0  \n",
-       "                                          South Asian                               0.0  \n",
-       "                                          Unknown                                   0.0  \n",
-       "                                          White                                     0.0  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                           0.0  \n",
-       "                                          2                                         7.2  \n",
-       "                                          3                                         0.0  \n",
-       "                                          4                                         8.4  \n",
-       "                                          5 Least deprived                          0.0  \n",
-       "                                          Unknown                                   0.0  \n",
-       "Learning disability                       no                                        3.4  \n",
-       "                                          yes                                       0.0  "
+       "                                                                               Vaccinated over last 7d (%)  \n",
+       "Category                                  Group                                                             \n",
+       "overall                                   overall                                                      2.7  \n",
+       "Sex                                       F                                                            2.4  \n",
+       "                                          M                                                            3.4  \n",
+       "Ethnicity (broad categories)              Black                                                        1.8  \n",
+       "                                          Mixed                                                        1.8  \n",
+       "                                          Other                                                        3.9  \n",
+       "                                          South Asian                                                  0.0  \n",
+       "                                          Unknown                                                      2.3  \n",
+       "                                          White                                                        1.8  \n",
+       "ethnicity 16 groups                        African                                                     6.7  \n",
+       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
+       "                                           Caribbean                                                   0.0  \n",
+       "                                           Chinese                                                     5.6  \n",
+       "                                           Other                                                       0.0  \n",
+       "                                           Other Asian                                                 0.0  \n",
+       "                                          British or Mixed British                                     0.0  \n",
+       "                                          Indian or British Indian                                     0.0  \n",
+       "                                          Irish                                                        5.5  \n",
+       "                                          Other Black                                                  5.5  \n",
+       "                                          Other White                                                  5.5  \n",
+       "                                          Other mixed                                                  6.3  \n",
+       "                                          Pakistani or British Pakistani                               0.0  \n",
+       "                                          Unknown                                                      4.3  \n",
+       "                                          White + Asian                                                5.3  \n",
+       "                                          White + Black African                                        0.0  \n",
+       "                                          White + Black Caribbean                                      0.0  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.0  \n",
+       "                                          2                                                            1.8  \n",
+       "                                          3                                                            3.5  \n",
+       "                                          4                                                            3.4  \n",
+       "                                          5 Least deprived                                             3.3  \n",
+       "                                          Unknown                                                      7.7  \n",
+       "BMI                                       30+                                                          2.1  \n",
+       "                                          under 30                                                     3.2  \n",
+       "Chronic cardiac disease                   no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Current COPD                              no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "DMARDs                                    no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dementia                                  no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Learning disability                       no                                                           2.9  \n",
+       "                                          yes                                                          0.0  \n",
+       "SSRI (last 12 months)                     no                                                           2.9  \n",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           2.9  \n",
+       "                                          yes                                                         33.3  \n",
+       "Cancer (lung)                             no                                                           2.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           2.9  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (haematological)                   no                                                           2.9  \n",
+       "                                          yes                                                          0.0  "
       ]
      },
      "metadata": {},
@@ -26614,7 +33304,31 @@
     {
      "data": {
       "text/markdown": [
-       "- Population excludes those over 65 known to live in an elderly care home, based upon clinical coding."
+       "- Population excludes those known to live in an elderly care home, based upon clinical coding."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "- Population excludes those who are currently shielding."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -26627,7 +33341,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among 65-69 population \n",
+       " ## Cumulative vaccination figures among LD (aged 16-64) population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -26654,251 +33368,48 @@
        "        text-align: right;\n",
        "    }\n",
        "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
-       "      <th>Total eligible</th>\n",
-       "      <th>Previous week's vaccination coverage (%)</th>\n",
-       "      <th>Vaccinated over last 7d (%)</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Category</th>\n",
-       "      <th>Group</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>2149</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>2.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>441</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1092</td>\n",
-       "      <td>37.2</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>427</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1057</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>161</td>\n",
-       "      <td>43.4</td>\n",
-       "      <td>371</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>1.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>140</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>385</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>1.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>154</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>371</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>147</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>343</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>4.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>126</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>343</td>\n",
-       "      <td>34.7</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>140</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>336</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
-       "      <th>African</th>\n",
-       "      <td>49</td>\n",
-       "      <td>46.7</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>35</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>5.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other Asian</th>\n",
-       "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>6.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>British or Mixed British</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Indian or British Indian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Irish</th>\n",
-       "      <td>49</td>\n",
-       "      <td>46.7</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other Black</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other White</th>\n",
-       "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other mixed</th>\n",
-       "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>6.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>133</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>329</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>2.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
+       "      <th>Total eligible</th>\n",
+       "      <th>Previous week's vaccination coverage (%)</th>\n",
+       "      <th>Vaccinated over last 7d (%)</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Black African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>6.7</td>\n",
+       "      <th>Category</th>\n",
+       "      <th>Group</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
        "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>White + Black Caribbean</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>324</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>784</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
-       "      <th>1 Most deprived</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
        "      <td>154</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>399</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>392</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>3.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>M</th>\n",
        "      <td>168</td>\n",
        "      <td>42.1</td>\n",
        "      <td>399</td>\n",
@@ -26906,150 +33417,80 @@
        "      <td>1.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>175</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>420</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>413</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5 Least deprived</th>\n",
-       "      <td>182</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>441</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3.2</td>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
+       "      <th>0</th>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>28</td>\n",
+       "      <th>0-15</th>\n",
+       "      <td>14</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>84</td>\n",
+       "      <td>42</td>\n",
        "      <td>33.3</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
-       "      <th>30+</th>\n",
-       "      <td>259</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>679</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>under 30</th>\n",
-       "      <td>609</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>1470</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>2.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
-       "      <th>no</th>\n",
-       "      <td>854</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>2.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>25.0</td>\n",
+       "      <th>16-29</th>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
        "      <td>25.0</td>\n",
+       "      <td>12.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
-       "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>30-34</th>\n",
        "      <td>21</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.9</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>16.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
+       "      <th>35-39</th>\n",
+       "      <td>21</td>\n",
        "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
+       "      <td>42</td>\n",
        "      <td>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>40-44</th>\n",
        "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>45-49</th>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>14.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>50-54</th>\n",
        "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
-       "      <th>no</th>\n",
-       "      <td>847</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2100</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.6</td>\n",
+       "      <th>55-59</th>\n",
+       "      <td>14</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>60-64</th>\n",
        "      <td>21</td>\n",
        "      <td>42.9</td>\n",
        "      <td>49</td>\n",
@@ -27057,414 +33498,246 @@
        "      <td>14.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>65-69</th>\n",
+       "      <td>14</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>70-74</th>\n",
        "      <td>21</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.6</td>\n",
+       "      <th>75-79</th>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
+       "      <th>80-84</th>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85-89</th>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>90+</th>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>11.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>133</td>\n",
+       "      <td>31.6</td>\n",
+       "      <td>5.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>Mixed</th>\n",
+       "      <td>35</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>126</td>\n",
+       "      <td>27.8</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>854</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>Other</th>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>133</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3.0</td>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>49</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>6.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>White</th>\n",
+       "      <td>70</td>\n",
+       "      <td>45.5</td>\n",
+       "      <td>154</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>4.6</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                   868   \n",
-       "Sex                                       F                                                         441   \n",
-       "                                          M                                                         427   \n",
-       "Ethnicity (broad categories)              Black                                                     161   \n",
-       "                                          Mixed                                                     140   \n",
-       "                                          Other                                                     154   \n",
-       "                                          South Asian                                               147   \n",
-       "                                          Unknown                                                   126   \n",
-       "                                          White                                                     140   \n",
-       "ethnicity 16 groups                        African                                                   49   \n",
-       "                                           Bangladeshi or British Bangladeshi                        49   \n",
-       "                                           Caribbean                                                 35   \n",
-       "                                           Chinese                                                   49   \n",
-       "                                           Other                                                     49   \n",
-       "                                           Other Asian                                               42   \n",
-       "                                          British or Mixed British                                   49   \n",
-       "                                          Indian or British Indian                                   56   \n",
-       "                                          Irish                                                      49   \n",
-       "                                          Other Black                                                35   \n",
-       "                                          Other White                                                56   \n",
-       "                                          Other mixed                                                42   \n",
-       "                                          Pakistani or British Pakistani                             49   \n",
-       "                                          Unknown                                                   133   \n",
-       "                                          White + Asian                                              49   \n",
-       "                                          White + Black African                                      42   \n",
-       "                                          White + Black Caribbean                                    42   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           154   \n",
-       "                                          2                                                         168   \n",
-       "                                          3                                                         175   \n",
-       "                                          4                                                         161   \n",
-       "                                          5 Least deprived                                          182   \n",
-       "                                          Unknown                                                    28   \n",
-       "BMI                                       30+                                                       259   \n",
-       "                                          under 30                                                  609   \n",
-       "Chronic cardiac disease                   no                                                        854   \n",
-       "                                          yes                                                        14   \n",
-       "Current COPD                              no                                                        868   \n",
-       "                                          yes                                                         0   \n",
-       "DMARDs                                    no                                                        861   \n",
-       "                                          yes                                                         7   \n",
-       "Dementia                                  no                                                        861   \n",
-       "                                          yes                                                         7   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                        861   \n",
-       "                                          yes                                                         7   \n",
-       "Learning disability                       no                                                        847   \n",
-       "                                          yes                                                        21   \n",
-       "SSRI (last 12 months)                     no                                                        861   \n",
-       "                                          yes                                                         0   \n",
-       "Chemo or radiotherapy                     no                                                        861   \n",
-       "                                          yes                                                         0   \n",
-       "Cancer (lung)                             no                                                        861   \n",
-       "                                          yes                                                         7   \n",
-       "Cancer (excluding lung/haem)              no                                                        854   \n",
-       "                                          yes                                                        14   \n",
-       "Cancer (haematological)                   no                                                        868   \n",
-       "                                          yes                                                         0   \n",
+       "                                          Vaccinated at 30 Mar (n)  \\\n",
+       "Category                     Group                                   \n",
+       "overall                      overall                           324   \n",
+       "Sex                          F                                 154   \n",
+       "                             M                                 168   \n",
+       "Age band                     0                                  21   \n",
+       "                             0-15                               14   \n",
+       "                             16-29                              21   \n",
+       "                             30-34                              21   \n",
+       "                             35-39                              21   \n",
+       "                             40-44                              21   \n",
+       "                             45-49                              21   \n",
+       "                             50-54                              21   \n",
+       "                             55-59                              14   \n",
+       "                             60-64                              21   \n",
+       "                             65-69                              14   \n",
+       "                             70-74                              21   \n",
+       "                             75-79                              21   \n",
+       "                             80-84                              21   \n",
+       "                             85-89                              28   \n",
+       "                             90+                                28   \n",
+       "Ethnicity (broad categories) Black                              49   \n",
+       "                             Mixed                              35   \n",
+       "                             Other                              63   \n",
+       "                             South Asian                        63   \n",
+       "                             Unknown                            49   \n",
+       "                             White                              70   \n",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  40.4   \n",
-       "Sex                                       F                                                        40.4   \n",
-       "                                          M                                                        40.4   \n",
-       "Ethnicity (broad categories)              Black                                                    43.4   \n",
-       "                                          Mixed                                                    36.4   \n",
-       "                                          Other                                                    41.5   \n",
-       "                                          South Asian                                              42.9   \n",
-       "                                          Unknown                                                  36.7   \n",
-       "                                          White                                                    41.7   \n",
-       "ethnicity 16 groups                        African                                                 46.7   \n",
-       "                                           Bangladeshi or British Bangladeshi                      41.2   \n",
-       "                                           Caribbean                                               31.2   \n",
-       "                                           Chinese                                                 41.2   \n",
-       "                                           Other                                                   38.9   \n",
-       "                                           Other Asian                                             37.5   \n",
-       "                                          British or Mixed British                                 38.9   \n",
-       "                                          Indian or British Indian                                 50.0   \n",
-       "                                          Irish                                                    46.7   \n",
-       "                                          Other Black                                              38.5   \n",
-       "                                          Other White                                              44.4   \n",
-       "                                          Other mixed                                              37.5   \n",
-       "                                          Pakistani or British Pakistani                           38.9   \n",
-       "                                          Unknown                                                  40.4   \n",
-       "                                          White + Asian                                            41.2   \n",
-       "                                          White + Black African                                    40.0   \n",
-       "                                          White + Black Caribbean                                  40.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          38.6   \n",
-       "                                          2                                                        42.1   \n",
-       "                                          3                                                        41.7   \n",
-       "                                          4                                                        39.0   \n",
-       "                                          5 Least deprived                                         41.3   \n",
-       "                                          Unknown                                                  33.3   \n",
-       "BMI                                       30+                                                      38.1   \n",
-       "                                          under 30                                                 41.4   \n",
-       "Chronic cardiac disease                   no                                                       40.3   \n",
-       "                                          yes                                                      50.0   \n",
-       "Current COPD                              no                                                       40.7   \n",
-       "                                          yes                                                       0.0   \n",
-       "DMARDs                                    no                                                       40.3   \n",
-       "                                          yes                                                      50.0   \n",
-       "Dementia                                  no                                                       40.5   \n",
-       "                                          yes                                                      33.3   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       40.5   \n",
-       "                                          yes                                                      33.3   \n",
-       "Learning disability                       no                                                       40.3   \n",
-       "                                          yes                                                      42.9   \n",
-       "SSRI (last 12 months)                     no                                                       40.5   \n",
-       "                                          yes                                                       0.0   \n",
-       "Chemo or radiotherapy                     no                                                       40.3   \n",
-       "                                          yes                                                       0.0   \n",
-       "Cancer (lung)                             no                                                       40.5   \n",
-       "                                          yes                                                      33.3   \n",
-       "Cancer (excluding lung/haem)              no                                                       40.3   \n",
-       "                                          yes                                                      50.0   \n",
-       "Cancer (haematological)                   no                                                       40.7   \n",
-       "                                          yes                                                       0.0   \n",
+       "                                          Vaccinated at 30 Mar (%)  \\\n",
+       "Category                     Group                                   \n",
+       "overall                      overall                          41.3   \n",
+       "Sex                          F                                39.3   \n",
+       "                             M                                42.1   \n",
+       "Age band                     0                                42.9   \n",
+       "                             0-15                             33.3   \n",
+       "                             16-29                            37.5   \n",
+       "                             30-34                            50.0   \n",
+       "                             35-39                            50.0   \n",
+       "                             40-44                            42.9   \n",
+       "                             45-49                            42.9   \n",
+       "                             50-54                            37.5   \n",
+       "                             55-59                            28.6   \n",
+       "                             60-64                            42.9   \n",
+       "                             65-69                            33.3   \n",
+       "                             70-74                            42.9   \n",
+       "                             75-79                            42.9   \n",
+       "                             80-84                            42.9   \n",
+       "                             85-89                            44.4   \n",
+       "                             90+                              44.4   \n",
+       "Ethnicity (broad categories) Black                            36.8   \n",
+       "                             Mixed                            27.8   \n",
+       "                             Other                            47.4   \n",
+       "                             South Asian                      47.4   \n",
+       "                             Unknown                          46.7   \n",
+       "                             White                            45.5   \n",
        "\n",
-       "                                                                               Total eligible  \\\n",
-       "Category                                  Group                                                 \n",
-       "overall                                   overall                                        2149   \n",
-       "Sex                                       F                                              1092   \n",
-       "                                          M                                              1057   \n",
-       "Ethnicity (broad categories)              Black                                           371   \n",
-       "                                          Mixed                                           385   \n",
-       "                                          Other                                           371   \n",
-       "                                          South Asian                                     343   \n",
-       "                                          Unknown                                         343   \n",
-       "                                          White                                           336   \n",
-       "ethnicity 16 groups                        African                                        105   \n",
-       "                                           Bangladeshi or British Bangladeshi             119   \n",
-       "                                           Caribbean                                      112   \n",
-       "                                           Chinese                                        119   \n",
-       "                                           Other                                          126   \n",
-       "                                           Other Asian                                    112   \n",
-       "                                          British or Mixed British                        126   \n",
-       "                                          Indian or British Indian                        112   \n",
-       "                                          Irish                                           105   \n",
-       "                                          Other Black                                      91   \n",
-       "                                          Other White                                     126   \n",
-       "                                          Other mixed                                     112   \n",
-       "                                          Pakistani or British Pakistani                  126   \n",
-       "                                          Unknown                                         329   \n",
-       "                                          White + Asian                                   119   \n",
-       "                                          White + Black African                           105   \n",
-       "                                          White + Black Caribbean                         105   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 399   \n",
-       "                                          2                                               399   \n",
-       "                                          3                                               420   \n",
-       "                                          4                                               413   \n",
-       "                                          5 Least deprived                                441   \n",
-       "                                          Unknown                                          84   \n",
-       "BMI                                       30+                                             679   \n",
-       "                                          under 30                                       1470   \n",
-       "Chronic cardiac disease                   no                                             2121   \n",
-       "                                          yes                                              28   \n",
-       "Current COPD                              no                                             2135   \n",
-       "                                          yes                                              21   \n",
-       "DMARDs                                    no                                             2135   \n",
-       "                                          yes                                              14   \n",
-       "Dementia                                  no                                             2128   \n",
-       "                                          yes                                              21   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             2128   \n",
-       "                                          yes                                              21   \n",
-       "Learning disability                       no                                             2100   \n",
-       "                                          yes                                              49   \n",
-       "SSRI (last 12 months)                     no                                             2128   \n",
-       "                                          yes                                              21   \n",
-       "Chemo or radiotherapy                     no                                             2135   \n",
-       "                                          yes                                              14   \n",
-       "Cancer (lung)                             no                                             2128   \n",
-       "                                          yes                                              21   \n",
-       "Cancer (excluding lung/haem)              no                                             2121   \n",
-       "                                          yes                                              28   \n",
-       "Cancer (haematological)                   no                                             2135   \n",
-       "                                          yes                                              14   \n",
+       "                                          Total eligible  \\\n",
+       "Category                     Group                         \n",
+       "overall                      overall                 784   \n",
+       "Sex                          F                       392   \n",
+       "                             M                       399   \n",
+       "Age band                     0                        49   \n",
+       "                             0-15                     42   \n",
+       "                             16-29                    56   \n",
+       "                             30-34                    42   \n",
+       "                             35-39                    42   \n",
+       "                             40-44                    49   \n",
+       "                             45-49                    49   \n",
+       "                             50-54                    56   \n",
+       "                             55-59                    49   \n",
+       "                             60-64                    49   \n",
+       "                             65-69                    42   \n",
+       "                             70-74                    49   \n",
+       "                             75-79                    49   \n",
+       "                             80-84                    49   \n",
+       "                             85-89                    63   \n",
+       "                             90+                      63   \n",
+       "Ethnicity (broad categories) Black                   133   \n",
+       "                             Mixed                   126   \n",
+       "                             Other                   133   \n",
+       "                             South Asian             133   \n",
+       "                             Unknown                 105   \n",
+       "                             White                   154   \n",
        "\n",
-       "                                                                               Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  37.5   \n",
-       "Sex                                       F                                                                        37.2   \n",
-       "                                          M                                                                        37.7   \n",
-       "Ethnicity (broad categories)              Black                                                                    41.5   \n",
-       "                                          Mixed                                                                    34.5   \n",
-       "                                          Other                                                                    37.7   \n",
-       "                                          South Asian                                                              38.8   \n",
-       "                                          Unknown                                                                  34.7   \n",
-       "                                          White                                                                    37.5   \n",
-       "ethnicity 16 groups                        African                                                                 40.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      41.2   \n",
-       "                                           Caribbean                                                               31.2   \n",
-       "                                           Chinese                                                                 41.2   \n",
-       "                                           Other                                                                   33.3   \n",
-       "                                           Other Asian                                                             31.2   \n",
-       "                                          British or Mixed British                                                 38.9   \n",
-       "                                          Indian or British Indian                                                 43.8   \n",
-       "                                          Irish                                                                    40.0   \n",
-       "                                          Other Black                                                              38.5   \n",
-       "                                          Other White                                                              38.9   \n",
-       "                                          Other mixed                                                              31.2   \n",
-       "                                          Pakistani or British Pakistani                                           38.9   \n",
-       "                                          Unknown                                                                  38.3   \n",
-       "                                          White + Asian                                                            35.3   \n",
-       "                                          White + Black African                                                    33.3   \n",
-       "                                          White + Black Caribbean                                                  40.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          35.1   \n",
-       "                                          2                                                                        40.4   \n",
-       "                                          3                                                                        38.3   \n",
-       "                                          4                                                                        35.6   \n",
-       "                                          5 Least deprived                                                         38.1   \n",
-       "                                          Unknown                                                                  33.3   \n",
-       "BMI                                       30+                                                                      35.1   \n",
-       "                                          under 30                                                                 38.6   \n",
-       "Chronic cardiac disease                   no                                                                       37.6   \n",
-       "                                          yes                                                                      25.0   \n",
-       "Current COPD                              no                                                                       37.7   \n",
-       "                                          yes                                                                       0.0   \n",
-       "DMARDs                                    no                                                                       37.4   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Dementia                                  no                                                                       37.5   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       37.5   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Learning disability                       no                                                                       37.7   \n",
-       "                                          yes                                                                      28.6   \n",
-       "SSRI (last 12 months)                     no                                                                       37.5   \n",
-       "                                          yes                                                                       0.0   \n",
-       "Chemo or radiotherapy                     no                                                                       37.7   \n",
-       "                                          yes                                                                       0.0   \n",
-       "Cancer (lung)                             no                                                                       37.5   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Cancer (excluding lung/haem)              no                                                                       37.3   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Cancer (haematological)                   no                                                                       37.7   \n",
-       "                                          yes                                                                       0.0   \n",
+       "                                          Previous week's vaccination coverage (%)  \\\n",
+       "Category                     Group                                                   \n",
+       "overall                      overall                                          38.1   \n",
+       "Sex                          F                                                35.7   \n",
+       "                             M                                                40.4   \n",
+       "Age band                     0                                                42.9   \n",
+       "                             0-15                                             33.3   \n",
+       "                             16-29                                            25.0   \n",
+       "                             30-34                                            33.3   \n",
+       "                             35-39                                            50.0   \n",
+       "                             40-44                                            42.9   \n",
+       "                             45-49                                            28.6   \n",
+       "                             50-54                                            37.5   \n",
+       "                             55-59                                            28.6   \n",
+       "                             60-64                                            28.6   \n",
+       "                             65-69                                            33.3   \n",
+       "                             70-74                                            42.9   \n",
+       "                             75-79                                            42.9   \n",
+       "                             80-84                                            42.9   \n",
+       "                             85-89                                            44.4   \n",
+       "                             90+                                              33.3   \n",
+       "Ethnicity (broad categories) Black                                            31.6   \n",
+       "                             Mixed                                            27.8   \n",
+       "                             Other                                            47.4   \n",
+       "                             South Asian                                      42.1   \n",
+       "                             Unknown                                          40.0   \n",
+       "                             White                                            40.9   \n",
        "\n",
-       "                                                                               Vaccinated over last 7d (%)  \n",
-       "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      2.9  \n",
-       "Sex                                       F                                                            3.2  \n",
-       "                                          M                                                            2.7  \n",
-       "Ethnicity (broad categories)              Black                                                        1.9  \n",
-       "                                          Mixed                                                        1.9  \n",
-       "                                          Other                                                        3.8  \n",
-       "                                          South Asian                                                  4.1  \n",
-       "                                          Unknown                                                      2.0  \n",
-       "                                          White                                                        4.2  \n",
-       "ethnicity 16 groups                        African                                                     6.7  \n",
-       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
-       "                                           Caribbean                                                   0.0  \n",
-       "                                           Chinese                                                     0.0  \n",
-       "                                           Other                                                       5.6  \n",
-       "                                           Other Asian                                                 6.3  \n",
-       "                                          British or Mixed British                                     0.0  \n",
-       "                                          Indian or British Indian                                     6.2  \n",
-       "                                          Irish                                                        6.7  \n",
-       "                                          Other Black                                                  0.0  \n",
-       "                                          Other White                                                  5.5  \n",
-       "                                          Other mixed                                                  6.3  \n",
-       "                                          Pakistani or British Pakistani                               0.0  \n",
-       "                                          Unknown                                                      2.1  \n",
-       "                                          White + Asian                                                5.9  \n",
-       "                                          White + Black African                                        6.7  \n",
-       "                                          White + Black Caribbean                                      0.0  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.5  \n",
-       "                                          2                                                            1.7  \n",
-       "                                          3                                                            3.4  \n",
-       "                                          4                                                            3.4  \n",
-       "                                          5 Least deprived                                             3.2  \n",
-       "                                          Unknown                                                      0.0  \n",
-       "BMI                                       30+                                                          3.0  \n",
-       "                                          under 30                                                     2.8  \n",
-       "Chronic cardiac disease                   no                                                           2.7  \n",
-       "                                          yes                                                         25.0  \n",
-       "Current COPD                              no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           2.9  \n",
-       "                                          yes                                                          0.0  \n",
-       "Dementia                                  no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Learning disability                       no                                                           2.6  \n",
-       "                                          yes                                                         14.3  \n",
-       "SSRI (last 12 months)                     no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           2.6  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (lung)                             no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (haematological)                   no                                                           3.0  \n",
-       "                                          yes                                                          0.0  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "**Footnotes:**\n",
-       "- Patient counts rounded to the nearest 7"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "- Population excludes those known to live in an elderly care home, based upon clinical coding."
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
+       "                                          Vaccinated over last 7d (%)  \n",
+       "Category                     Group                                     \n",
+       "overall                      overall                              3.2  \n",
+       "Sex                          F                                    3.6  \n",
+       "                             M                                    1.7  \n",
+       "Age band                     0                                    0.0  \n",
+       "                             0-15                                 0.0  \n",
+       "                             16-29                               12.5  \n",
+       "                             30-34                               16.7  \n",
+       "                             35-39                                0.0  \n",
+       "                             40-44                                0.0  \n",
+       "                             45-49                               14.3  \n",
+       "                             50-54                                0.0  \n",
+       "                             55-59                                0.0  \n",
+       "                             60-64                               14.3  \n",
+       "                             65-69                                0.0  \n",
+       "                             70-74                                0.0  \n",
+       "                             75-79                                0.0  \n",
+       "                             80-84                                0.0  \n",
+       "                             85-89                                0.0  \n",
+       "                             90+                                 11.1  \n",
+       "Ethnicity (broad categories) Black                                5.2  \n",
+       "                             Mixed                                0.0  \n",
+       "                             Other                                0.0  \n",
+       "                             South Asian                          5.3  \n",
+       "                             Unknown                              6.7  \n",
+       "                             White                                4.6  "
       ]
      },
      "metadata": {},
@@ -27473,7 +33746,8 @@
     {
      "data": {
       "text/markdown": [
-       "- Population excludes those who are currently shielding."
+       "**Footnotes:**\n",
+       "- Patient counts rounded to the nearest 7"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -27485,7 +33759,7 @@
     {
      "data": {
       "text/markdown": [
-       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
+       "- Population excludes those who are currently shielding."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -27498,7 +33772,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among LD (aged 16-64) population \n",
+       " ## Cumulative vaccination figures among 60-64 population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -27530,8 +33804,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
        "      <th>Total eligible</th>\n",
        "      <th>Previous week's vaccination coverage (%)</th>\n",
        "      <th>Vaccinated over last 7d (%)</th>\n",
@@ -27550,351 +33824,740 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>317</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>791</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2632</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
        "      <th>F</th>\n",
+       "      <td>532</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>1358</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>1.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>511</td>\n",
+       "      <td>40.1</td>\n",
+       "      <td>1274</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>175</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>441</td>\n",
+       "      <td>34.9</td>\n",
+       "      <td>4.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mixed</th>\n",
        "      <td>154</td>\n",
-       "      <td>39.3</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>406</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>175</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>469</td>\n",
+       "      <td>34.3</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>196</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>483</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>161</td>\n",
+       "      <td>41.1</td>\n",
        "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>1.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>168</td>\n",
+       "      <th>White</th>\n",
+       "      <td>189</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>441</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>1.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
+       "      <th>African</th>\n",
+       "      <td>42</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>119</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>5.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bangladeshi or British Bangladeshi</th>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Caribbean</th>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chinese</th>\n",
+       "      <td>56</td>\n",
+       "      <td>47.1</td>\n",
+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>5.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>56</td>\n",
        "      <td>42.1</td>\n",
-       "      <td>399</td>\n",
+       "      <td>133</td>\n",
        "      <td>36.8</td>\n",
        "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>Other Asian</th>\n",
+       "      <td>63</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>British or Mixed British</th>\n",
        "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indian or British Indian</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Irish</th>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>133</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Black</th>\n",
+       "      <td>63</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>168</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>4.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other White</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>70</td>\n",
+       "      <td>47.6</td>\n",
+       "      <td>147</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>4.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>140</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>406</td>\n",
+       "      <td>32.8</td>\n",
+       "      <td>1.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Asian</th>\n",
+       "      <td>63</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>154</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>4.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black African</th>\n",
+       "      <td>56</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>147</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>4.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>63</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>161</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>4.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>203</td>\n",
+       "      <td>43.3</td>\n",
+       "      <td>469</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>196</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>497</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>2.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>189</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>497</td>\n",
+       "      <td>35.2</td>\n",
+       "      <td>2.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>189</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>497</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>1.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5 Least deprived</th>\n",
+       "      <td>203</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>518</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>1.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>63</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>147</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
+       "      <th>30+</th>\n",
+       "      <td>350</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>833</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>under 30</th>\n",
+       "      <td>693</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>1799</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>1.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16-29</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>12.5</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30-34</th>\n",
+       "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>49</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>14.3</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1043</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>40-44</th>\n",
+       "      <th>yes</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45-49</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50-54</th>\n",
-       "      <td>21</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>56</td>\n",
-       "      <td>37.5</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>55-59</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>12.5</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>60-64</th>\n",
+       "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>65-69</th>\n",
-       "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-74</th>\n",
+       "      <th>yes</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>14.3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>75-79</th>\n",
-       "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80-84</th>\n",
+       "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>20.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>85-89</th>\n",
-       "      <td>14</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>42</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>90+</th>\n",
-       "      <td>14</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>42</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2590</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>42</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>5.6</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                          Vaccinated at 05 Mar (n)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                           317   \n",
-       "Sex                          F                                 154   \n",
-       "                             M                                 168   \n",
-       "Age band                     0                                  28   \n",
-       "                             0-15                               21   \n",
-       "                             16-29                              28   \n",
-       "                             30-34                              14   \n",
-       "                             35-39                              28   \n",
-       "                             40-44                              21   \n",
-       "                             45-49                              28   \n",
-       "                             50-54                              21   \n",
-       "                             55-59                              28   \n",
-       "                             60-64                              14   \n",
-       "                             65-69                              21   \n",
-       "                             70-74                              21   \n",
-       "                             75-79                              14   \n",
-       "                             80-84                               7   \n",
-       "                             85-89                              14   \n",
-       "                             90+                                14   \n",
-       "Ethnicity (broad categories) Black                              56   \n",
-       "                             Mixed                              56   \n",
-       "                             Other                              56   \n",
-       "                             South Asian                        42   \n",
-       "                             Unknown                            49   \n",
-       "                             White                              63   \n",
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                  1044   \n",
+       "Sex                                       F                                                         532   \n",
+       "                                          M                                                         511   \n",
+       "Ethnicity (broad categories)              Black                                                     175   \n",
+       "                                          Mixed                                                     154   \n",
+       "                                          Other                                                     175   \n",
+       "                                          South Asian                                               196   \n",
+       "                                          Unknown                                                   161   \n",
+       "                                          White                                                     189   \n",
+       "ethnicity 16 groups                        African                                                   42   \n",
+       "                                           Bangladeshi or British Bangladeshi                        56   \n",
+       "                                           Caribbean                                                 56   \n",
+       "                                           Chinese                                                   56   \n",
+       "                                           Other                                                     56   \n",
+       "                                           Other Asian                                               63   \n",
+       "                                          British or Mixed British                                   56   \n",
+       "                                          Indian or British Indian                                   56   \n",
+       "                                          Irish                                                      49   \n",
+       "                                          Other Black                                                63   \n",
+       "                                          Other White                                                56   \n",
+       "                                          Other mixed                                                70   \n",
+       "                                          Pakistani or British Pakistani                             56   \n",
+       "                                          Unknown                                                   140   \n",
+       "                                          White + Asian                                              63   \n",
+       "                                          White + Black African                                      56   \n",
+       "                                          White + Black Caribbean                                    63   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           203   \n",
+       "                                          2                                                         196   \n",
+       "                                          3                                                         189   \n",
+       "                                          4                                                         189   \n",
+       "                                          5 Least deprived                                          203   \n",
+       "                                          Unknown                                                    63   \n",
+       "BMI                                       30+                                                       350   \n",
+       "                                          under 30                                                  693   \n",
+       "Chronic cardiac disease                   no                                                       1029   \n",
+       "                                          yes                                                        14   \n",
+       "Current COPD                              no                                                       1043   \n",
+       "                                          yes                                                         0   \n",
+       "DMARDs                                    no                                                       1036   \n",
+       "                                          yes                                                         7   \n",
+       "Dementia                                  no                                                       1029   \n",
+       "                                          yes                                                        14   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       1036   \n",
+       "                                          yes                                                         0   \n",
+       "SSRI (last 12 months)                     no                                                       1036   \n",
+       "                                          yes                                                         7   \n",
+       "Chemo or radiotherapy                     no                                                       1036   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (lung)                             no                                                       1029   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (excluding lung/haem)              no                                                       1036   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (haematological)                   no                                                       1029   \n",
+       "                                          yes                                                        14   \n",
        "\n",
-       "                                          Vaccinated at 05 Mar (%)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                          40.1   \n",
-       "Sex                          F                                39.3   \n",
-       "                             M                                42.1   \n",
-       "Age band                     0                                50.0   \n",
-       "                             0-15                             42.9   \n",
-       "                             16-29                            50.0   \n",
-       "                             30-34                            28.6   \n",
-       "                             35-39                            50.0   \n",
-       "                             40-44                            42.9   \n",
-       "                             45-49                            44.4   \n",
-       "                             50-54                            37.5   \n",
-       "                             55-59                            50.0   \n",
-       "                             60-64                            40.0   \n",
-       "                             65-69                            42.9   \n",
-       "                             70-74                            42.9   \n",
-       "                             75-79                            28.6   \n",
-       "                             80-84                            20.0   \n",
-       "                             85-89                            33.3   \n",
-       "                             90+                              33.3   \n",
-       "Ethnicity (broad categories) Black                            40.0   \n",
-       "                             Mixed                            44.4   \n",
-       "                             Other                            42.1   \n",
-       "                             South Asian                      33.3   \n",
-       "                             Unknown                          38.9   \n",
-       "                             White                            45.0   \n",
+       "                                                                               Vaccinated at 30 Mar (%)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                  39.7   \n",
+       "Sex                                       F                                                        39.2   \n",
+       "                                          M                                                        40.1   \n",
+       "Ethnicity (broad categories)              Black                                                    39.7   \n",
+       "                                          Mixed                                                    37.9   \n",
+       "                                          Other                                                    37.3   \n",
+       "                                          South Asian                                              40.6   \n",
+       "                                          Unknown                                                  41.1   \n",
+       "                                          White                                                    42.9   \n",
+       "ethnicity 16 groups                        African                                                 35.3   \n",
+       "                                           Bangladeshi or British Bangladeshi                      40.0   \n",
+       "                                           Caribbean                                               40.0   \n",
+       "                                           Chinese                                                 47.1   \n",
+       "                                           Other                                                   42.1   \n",
+       "                                           Other Asian                                             45.0   \n",
+       "                                          British or Mixed British                                 42.1   \n",
+       "                                          Indian or British Indian                                 44.4   \n",
+       "                                          Irish                                                    36.8   \n",
+       "                                          Other Black                                              37.5   \n",
+       "                                          Other White                                              44.4   \n",
+       "                                          Other mixed                                              47.6   \n",
+       "                                          Pakistani or British Pakistani                           42.1   \n",
+       "                                          Unknown                                                  34.5   \n",
+       "                                          White + Asian                                            40.9   \n",
+       "                                          White + Black African                                    38.1   \n",
+       "                                          White + Black Caribbean                                  39.1   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          43.3   \n",
+       "                                          2                                                        39.4   \n",
+       "                                          3                                                        38.0   \n",
+       "                                          4                                                        38.0   \n",
+       "                                          5 Least deprived                                         39.2   \n",
+       "                                          Unknown                                                  42.9   \n",
+       "BMI                                       30+                                                      42.0   \n",
+       "                                          under 30                                                 38.5   \n",
+       "Chronic cardiac disease                   no                                                       39.5   \n",
+       "                                          yes                                                      66.7   \n",
+       "Current COPD                              no                                                       39.9   \n",
+       "                                          yes                                                       0.0   \n",
+       "DMARDs                                    no                                                       39.9   \n",
+       "                                          yes                                                      25.0   \n",
+       "Dementia                                  no                                                       39.5   \n",
+       "                                          yes                                                      50.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       39.8   \n",
+       "                                          yes                                                       0.0   \n",
+       "SSRI (last 12 months)                     no                                                       39.9   \n",
+       "                                          yes                                                      25.0   \n",
+       "Chemo or radiotherapy                     no                                                       39.8   \n",
+       "                                          yes                                                      25.0   \n",
+       "Cancer (lung)                             no                                                       39.7   \n",
+       "                                          yes                                                      40.0   \n",
+       "Cancer (excluding lung/haem)              no                                                       39.9   \n",
+       "                                          yes                                                      25.0   \n",
+       "Cancer (haematological)                   no                                                       39.5   \n",
+       "                                          yes                                                      50.0   \n",
        "\n",
-       "                                          Total eligible  \\\n",
-       "Category                     Group                         \n",
-       "overall                      overall                 791   \n",
-       "Sex                          F                       392   \n",
-       "                             M                       399   \n",
-       "Age band                     0                        56   \n",
-       "                             0-15                     49   \n",
-       "                             16-29                    56   \n",
-       "                             30-34                    49   \n",
-       "                             35-39                    56   \n",
-       "                             40-44                    49   \n",
-       "                             45-49                    63   \n",
-       "                             50-54                    56   \n",
-       "                             55-59                    56   \n",
-       "                             60-64                    35   \n",
-       "                             65-69                    49   \n",
-       "                             70-74                    49   \n",
-       "                             75-79                    49   \n",
-       "                             80-84                    35   \n",
-       "                             85-89                    42   \n",
-       "                             90+                      42   \n",
-       "Ethnicity (broad categories) Black                   140   \n",
-       "                             Mixed                   126   \n",
-       "                             Other                   133   \n",
-       "                             South Asian             126   \n",
-       "                             Unknown                 126   \n",
-       "                             White                   140   \n",
+       "                                                                               Total eligible  \\\n",
+       "Category                                  Group                                                 \n",
+       "overall                                   overall                                        2632   \n",
+       "Sex                                       F                                              1358   \n",
+       "                                          M                                              1274   \n",
+       "Ethnicity (broad categories)              Black                                           441   \n",
+       "                                          Mixed                                           406   \n",
+       "                                          Other                                           469   \n",
+       "                                          South Asian                                     483   \n",
+       "                                          Unknown                                         392   \n",
+       "                                          White                                           441   \n",
+       "ethnicity 16 groups                        African                                        119   \n",
+       "                                           Bangladeshi or British Bangladeshi             140   \n",
+       "                                           Caribbean                                      140   \n",
+       "                                           Chinese                                        119   \n",
+       "                                           Other                                          133   \n",
+       "                                           Other Asian                                    140   \n",
+       "                                          British or Mixed British                        133   \n",
+       "                                          Indian or British Indian                        126   \n",
+       "                                          Irish                                           133   \n",
+       "                                          Other Black                                     168   \n",
+       "                                          Other White                                     126   \n",
+       "                                          Other mixed                                     147   \n",
+       "                                          Pakistani or British Pakistani                  133   \n",
+       "                                          Unknown                                         406   \n",
+       "                                          White + Asian                                   154   \n",
+       "                                          White + Black African                           147   \n",
+       "                                          White + Black Caribbean                         161   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 469   \n",
+       "                                          2                                               497   \n",
+       "                                          3                                               497   \n",
+       "                                          4                                               497   \n",
+       "                                          5 Least deprived                                518   \n",
+       "                                          Unknown                                         147   \n",
+       "BMI                                       30+                                             833   \n",
+       "                                          under 30                                       1799   \n",
+       "Chronic cardiac disease                   no                                             2604   \n",
+       "                                          yes                                              21   \n",
+       "Current COPD                              no                                             2611   \n",
+       "                                          yes                                              21   \n",
+       "DMARDs                                    no                                             2597   \n",
+       "                                          yes                                              28   \n",
+       "Dementia                                  no                                             2604   \n",
+       "                                          yes                                              28   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             2604   \n",
+       "                                          yes                                              21   \n",
+       "SSRI (last 12 months)                     no                                             2597   \n",
+       "                                          yes                                              28   \n",
+       "Chemo or radiotherapy                     no                                             2604   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (lung)                             no                                             2590   \n",
+       "                                          yes                                              35   \n",
+       "Cancer (excluding lung/haem)              no                                             2597   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (haematological)                   no                                             2604   \n",
+       "                                          yes                                              28   \n",
        "\n",
-       "                                          Previous week's vaccination coverage (%)  \\\n",
-       "Category                     Group                                                   \n",
-       "overall                      overall                                          36.3   \n",
-       "Sex                          F                                                35.7   \n",
-       "                             M                                                36.8   \n",
-       "Age band                     0                                                50.0   \n",
-       "                             0-15                                             42.9   \n",
-       "                             16-29                                            37.5   \n",
-       "                             30-34                                            14.3   \n",
-       "                             35-39                                            50.0   \n",
-       "                             40-44                                            42.9   \n",
-       "                             45-49                                            44.4   \n",
-       "                             50-54                                            37.5   \n",
-       "                             55-59                                            37.5   \n",
-       "                             60-64                                            40.0   \n",
-       "                             65-69                                            42.9   \n",
-       "                             70-74                                            28.6   \n",
-       "                             75-79                                            28.6   \n",
-       "                             80-84                                            20.0   \n",
-       "                             85-89                                            33.3   \n",
-       "                             90+                                              33.3   \n",
-       "Ethnicity (broad categories) Black                                            35.0   \n",
-       "                             Mixed                                            38.9   \n",
-       "                             Other                                            36.8   \n",
-       "                             South Asian                                      33.3   \n",
-       "                             Unknown                                          33.3   \n",
-       "                             White                                            40.0   \n",
+       "                                                                               Previous week's vaccination coverage (%)  \\\n",
+       "Category                                  Group                                                                           \n",
+       "overall                                   overall                                                                  37.5   \n",
+       "Sex                                       F                                                                        37.6   \n",
+       "                                          M                                                                        37.9   \n",
+       "Ethnicity (broad categories)              Black                                                                    34.9   \n",
+       "                                          Mixed                                                                    36.2   \n",
+       "                                          Other                                                                    34.3   \n",
+       "                                          South Asian                                                              37.7   \n",
+       "                                          Unknown                                                                  39.3   \n",
+       "                                          White                                                                    41.3   \n",
+       "ethnicity 16 groups                        African                                                                 29.4   \n",
+       "                                           Bangladeshi or British Bangladeshi                                      35.0   \n",
+       "                                           Caribbean                                                               40.0   \n",
+       "                                           Chinese                                                                 41.2   \n",
+       "                                           Other                                                                   36.8   \n",
+       "                                           Other Asian                                                             40.0   \n",
+       "                                          British or Mixed British                                                 42.1   \n",
+       "                                          Indian or British Indian                                                 44.4   \n",
+       "                                          Irish                                                                    36.8   \n",
+       "                                          Other Black                                                              33.3   \n",
+       "                                          Other White                                                              44.4   \n",
+       "                                          Other mixed                                                              42.9   \n",
+       "                                          Pakistani or British Pakistani                                           42.1   \n",
+       "                                          Unknown                                                                  32.8   \n",
+       "                                          White + Asian                                                            36.4   \n",
+       "                                          White + Black African                                                    33.3   \n",
+       "                                          White + Black Caribbean                                                  34.8   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          40.3   \n",
+       "                                          2                                                                        36.6   \n",
+       "                                          3                                                                        35.2   \n",
+       "                                          4                                                                        36.6   \n",
+       "                                          5 Least deprived                                                         37.8   \n",
+       "                                          Unknown                                                                  42.9   \n",
+       "BMI                                       30+                                                                      39.5   \n",
+       "                                          under 30                                                                 36.6   \n",
+       "Chronic cardiac disease                   no                                                                       37.4   \n",
+       "                                          yes                                                                      66.7   \n",
+       "Current COPD                              no                                                                       37.8   \n",
+       "                                          yes                                                                       0.0   \n",
+       "DMARDs                                    no                                                                       37.7   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Dementia                                  no                                                                       37.4   \n",
+       "                                          yes                                                                      50.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                                       37.6   \n",
+       "                                          yes                                                                       0.0   \n",
+       "SSRI (last 12 months)                     no                                                                       37.7   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Chemo or radiotherapy                     no                                                                       37.6   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Cancer (lung)                             no                                                                       37.6   \n",
+       "                                          yes                                                                      40.0   \n",
+       "Cancer (excluding lung/haem)              no                                                                       37.7   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Cancer (haematological)                   no                                                                       37.4   \n",
+       "                                          yes                                                                      50.0   \n",
        "\n",
-       "                                          Vaccinated over last 7d (%)  \n",
-       "Category                     Group                                     \n",
-       "overall                      overall                              3.8  \n",
-       "Sex                          F                                    3.6  \n",
-       "                             M                                    5.3  \n",
-       "Age band                     0                                    0.0  \n",
-       "                             0-15                                 0.0  \n",
-       "                             16-29                               12.5  \n",
-       "                             30-34                               14.3  \n",
-       "                             35-39                                0.0  \n",
-       "                             40-44                                0.0  \n",
-       "                             45-49                                0.0  \n",
-       "                             50-54                                0.0  \n",
-       "                             55-59                               12.5  \n",
-       "                             60-64                                0.0  \n",
-       "                             65-69                                0.0  \n",
-       "                             70-74                               14.3  \n",
-       "                             75-79                                0.0  \n",
-       "                             80-84                                0.0  \n",
-       "                             85-89                                0.0  \n",
-       "                             90+                                  0.0  \n",
-       "Ethnicity (broad categories) Black                                5.0  \n",
-       "                             Mixed                                5.5  \n",
-       "                             Other                                5.3  \n",
-       "                             South Asian                          0.0  \n",
-       "                             Unknown                              5.6  \n",
-       "                             White                                5.0  "
+       "                                                                               Vaccinated over last 7d (%)  \n",
+       "Category                                  Group                                                             \n",
+       "overall                                   overall                                                      2.2  \n",
+       "Sex                                       F                                                            1.6  \n",
+       "                                          M                                                            2.2  \n",
+       "Ethnicity (broad categories)              Black                                                        4.8  \n",
+       "                                          Mixed                                                        1.7  \n",
+       "                                          Other                                                        3.0  \n",
+       "                                          South Asian                                                  2.9  \n",
+       "                                          Unknown                                                      1.8  \n",
+       "                                          White                                                        1.6  \n",
+       "ethnicity 16 groups                        African                                                     5.9  \n",
+       "                                           Bangladeshi or British Bangladeshi                          5.0  \n",
+       "                                           Caribbean                                                   0.0  \n",
+       "                                           Chinese                                                     5.9  \n",
+       "                                           Other                                                       5.3  \n",
+       "                                           Other Asian                                                 5.0  \n",
+       "                                          British or Mixed British                                     0.0  \n",
+       "                                          Indian or British Indian                                     0.0  \n",
+       "                                          Irish                                                        0.0  \n",
+       "                                          Other Black                                                  4.2  \n",
+       "                                          Other White                                                  0.0  \n",
+       "                                          Other mixed                                                  4.7  \n",
+       "                                          Pakistani or British Pakistani                               0.0  \n",
+       "                                          Unknown                                                      1.7  \n",
+       "                                          White + Asian                                                4.5  \n",
+       "                                          White + Black African                                        4.8  \n",
+       "                                          White + Black Caribbean                                      4.3  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.0  \n",
+       "                                          2                                                            2.8  \n",
+       "                                          3                                                            2.8  \n",
+       "                                          4                                                            1.4  \n",
+       "                                          5 Least deprived                                             1.4  \n",
+       "                                          Unknown                                                      0.0  \n",
+       "BMI                                       30+                                                          2.5  \n",
+       "                                          under 30                                                     1.9  \n",
+       "Chronic cardiac disease                   no                                                           2.1  \n",
+       "                                          yes                                                          0.0  \n",
+       "Current COPD                              no                                                           2.1  \n",
+       "                                          yes                                                          0.0  \n",
+       "DMARDs                                    no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dementia                                  no                                                           2.1  \n",
+       "                                          yes                                                          0.0  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "SSRI (last 12 months)                     no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (lung)                             no                                                           2.1  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           2.2  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (haematological)                   no                                                           2.1  \n",
+       "                                          yes                                                          0.0  "
       ]
      },
      "metadata": {},
@@ -27925,11 +34588,23 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "data": {
+      "text/markdown": [
+       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among 60-64 population \n",
+       " ## Cumulative vaccination figures among 55-59 population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -27961,8 +34636,8 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
-       "      <th>Vaccinated at 05 Mar (%)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (%)</th>\n",
        "      <th>Total eligible</th>\n",
        "      <th>Previous week's vaccination coverage (%)</th>\n",
        "      <th>Vaccinated over last 7d (%)</th>\n",
@@ -27981,425 +34656,340 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>1009</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2576</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>1300</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>3136</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>497</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>707</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>1645</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>3.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>511</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>2.7</td>\n",
+       "      <td>595</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>1491</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>1.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
        "      <th>Black</th>\n",
-       "      <td>161</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>420</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>217</td>\n",
+       "      <td>40.8</td>\n",
+       "      <td>532</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>168</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>441</td>\n",
-       "      <td>34.9</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>210</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>511</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>203</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>476</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>2.9</td>\n",
+       "      <td>231</td>\n",
+       "      <td>43.4</td>\n",
+       "      <td>532</td>\n",
+       "      <td>40.8</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>168</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>462</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.1</td>\n",
+       "      <td>252</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>595</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>189</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>455</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>168</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>427</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>203</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>504</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>30.4</td>\n",
+       "      <td>4.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>56</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>154</td>\n",
-       "      <td>31.8</td>\n",
-       "      <td>4.6</td>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>30.4</td>\n",
+       "      <td>4.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>84</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>5.0</td>\n",
+       "      <td>84</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>182</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>3.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>4.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>84</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>189</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>3.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>42</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>63</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>154</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>4.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>413</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>1.7</td>\n",
+       "      <td>182</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>483</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>147</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>4.7</td>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>5.2</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>77</td>\n",
+       "      <td>47.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>43.5</td>\n",
+       "      <td>4.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>182</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>469</td>\n",
-       "      <td>34.3</td>\n",
-       "      <td>4.5</td>\n",
+       "      <td>238</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>595</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>203</td>\n",
-       "      <td>40.8</td>\n",
-       "      <td>497</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>2.8</td>\n",
+       "      <td>252</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>602</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>210</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>511</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>4.1</td>\n",
+       "      <td>252</td>\n",
+       "      <td>43.4</td>\n",
+       "      <td>581</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>3.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>196</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>525</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>245</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>637</td>\n",
+       "      <td>36.3</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>175</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>441</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.2</td>\n",
+       "      <td>238</td>\n",
+       "      <td>44.7</td>\n",
+       "      <td>532</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>2.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>5.2</td>\n",
+       "      <td>77</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
        "      <th>30+</th>\n",
-       "      <td>294</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>777</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>1.8</td>\n",
+       "      <td>392</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>952</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>2.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>714</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>1799</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.9</td>\n",
+       "      <td>910</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>2184</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>21</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>21</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
-       "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>33.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1008</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>21</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>3101</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
+       "      <td>7</td>\n",
        "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
        "      <td>25.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Psychosis, schizophrenia, or bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>1281</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -28410,13 +35000,13 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -28431,289 +35021,239 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  1009   \n",
-       "Sex                                       F                                                         497   \n",
-       "                                          M                                                         511   \n",
-       "Ethnicity (broad categories)              Black                                                     161   \n",
-       "                                          Mixed                                                     168   \n",
-       "                                          Other                                                     203   \n",
-       "                                          South Asian                                               168   \n",
-       "                                          Unknown                                                   140   \n",
-       "                                          White                                                     168   \n",
-       "ethnicity 16 groups                        African                                                   42   \n",
-       "                                           Bangladeshi or British Bangladeshi                        49   \n",
-       "                                           Caribbean                                                 63   \n",
-       "                                           Chinese                                                   56   \n",
-       "                                           Other                                                     49   \n",
-       "                                           Other Asian                                               49   \n",
-       "                                          British or Mixed British                                   49   \n",
-       "                                          Indian or British Indian                                   56   \n",
-       "                                          Irish                                                      63   \n",
-       "                                          Other Black                                                63   \n",
-       "                                          Other White                                                49   \n",
-       "                                          Other mixed                                                42   \n",
-       "                                          Pakistani or British Pakistani                             56   \n",
-       "                                          Unknown                                                   161   \n",
-       "                                          White + Asian                                              49   \n",
-       "                                          White + Black African                                      49   \n",
-       "                                          White + Black Caribbean                                    56   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           182   \n",
-       "                                          2                                                         203   \n",
-       "                                          3                                                         210   \n",
-       "                                          4                                                         196   \n",
-       "                                          5 Least deprived                                          175   \n",
-       "                                          Unknown                                                    49   \n",
-       "BMI                                       30+                                                       294   \n",
-       "                                          under 30                                                  714   \n",
-       "Chronic cardiac disease                   no                                                        994   \n",
-       "                                          yes                                                        14   \n",
-       "Current COPD                              no                                                       1001   \n",
-       "                                          yes                                                         7   \n",
-       "DMARDs                                    no                                                       1001   \n",
+       "overall                                   overall                                                  1300   \n",
+       "Sex                                       F                                                         707   \n",
+       "                                          M                                                         595   \n",
+       "Ethnicity (broad categories)              Black                                                     217   \n",
+       "                                          Mixed                                                     210   \n",
+       "                                          Other                                                     231   \n",
+       "                                          South Asian                                               252   \n",
+       "                                          Unknown                                                   189   \n",
+       "                                          White                                                     203   \n",
+       "ethnicity 16 groups                        African                                                   63   \n",
+       "                                           Bangladeshi or British Bangladeshi                        56   \n",
+       "                                           Caribbean                                                 77   \n",
+       "                                           Chinese                                                   77   \n",
+       "                                           Other                                                     77   \n",
+       "                                           Other Asian                                               77   \n",
+       "                                          British or Mixed British                                   56   \n",
+       "                                          Indian or British Indian                                   84   \n",
+       "                                          Irish                                                      84   \n",
+       "                                          Other Black                                                70   \n",
+       "                                          Other White                                                84   \n",
+       "                                          Other mixed                                                56   \n",
+       "                                          Pakistani or British Pakistani                             63   \n",
+       "                                          Unknown                                                   182   \n",
+       "                                          White + Asian                                              77   \n",
+       "                                          White + Black African                                      56   \n",
+       "                                          White + Black Caribbean                                    77   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           238   \n",
+       "                                          2                                                         252   \n",
+       "                                          3                                                         252   \n",
+       "                                          4                                                         245   \n",
+       "                                          5 Least deprived                                          238   \n",
+       "                                          Unknown                                                    77   \n",
+       "BMI                                       30+                                                       392   \n",
+       "                                          under 30                                                  910   \n",
+       "Chronic cardiac disease                   no                                                       1288   \n",
        "                                          yes                                                         7   \n",
-       "Dementia                                  no                                                        994   \n",
-       "                                          yes                                                        14   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                        994   \n",
+       "Current COPD                              no                                                       1288   \n",
        "                                          yes                                                        14   \n",
-       "SSRI (last 12 months)                     no                                                       1008   \n",
-       "                                          yes                                                         0   \n",
-       "Chemo or radiotherapy                     no                                                       1001   \n",
+       "DMARDs                                    no                                                       1288   \n",
        "                                          yes                                                         7   \n",
-       "Cancer (lung)                             no                                                       1001   \n",
-       "                                          yes                                                        14   \n",
-       "Cancer (excluding lung/haem)              no                                                        994   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       1281   \n",
        "                                          yes                                                        14   \n",
-       "Cancer (haematological)                   no                                                        994   \n",
+       "SSRI (last 12 months)                     no                                                       1288   \n",
        "                                          yes                                                        14   \n",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
+       "                                                                               Vaccinated at 30 Mar (%)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  39.2   \n",
-       "Sex                                       F                                                        38.6   \n",
-       "                                          M                                                        39.7   \n",
-       "Ethnicity (broad categories)              Black                                                    38.3   \n",
-       "                                          Mixed                                                    38.1   \n",
-       "                                          Other                                                    42.6   \n",
-       "                                          South Asian                                              36.4   \n",
-       "                                          Unknown                                                  40.0   \n",
-       "                                          White                                                    39.3   \n",
-       "ethnicity 16 groups                        African                                                 37.5   \n",
-       "                                           Bangladeshi or British Bangladeshi                      36.8   \n",
-       "                                           Caribbean                                               45.0   \n",
-       "                                           Chinese                                                 36.4   \n",
-       "                                           Other                                                   38.9   \n",
-       "                                           Other Asian                                             41.2   \n",
-       "                                          British or Mixed British                                 36.8   \n",
-       "                                          Indian or British Indian                                 38.1   \n",
-       "                                          Irish                                                    45.0   \n",
-       "                                          Other Black                                              42.9   \n",
-       "                                          Other White                                              43.8   \n",
-       "                                          Other mixed                                              31.6   \n",
-       "                                          Pakistani or British Pakistani                           38.1   \n",
-       "                                          Unknown                                                  39.0   \n",
-       "                                          White + Asian                                            33.3   \n",
-       "                                          White + Black African                                    36.8   \n",
-       "                                          White + Black Caribbean                                  38.1   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          38.8   \n",
-       "                                          2                                                        40.8   \n",
-       "                                          3                                                        41.1   \n",
-       "                                          4                                                        37.3   \n",
-       "                                          5 Least deprived                                         39.7   \n",
-       "                                          Unknown                                                  36.8   \n",
-       "BMI                                       30+                                                      37.8   \n",
-       "                                          under 30                                                 39.7   \n",
-       "Chronic cardiac disease                   no                                                       38.9   \n",
-       "                                          yes                                                      66.7   \n",
-       "Current COPD                              no                                                       39.2   \n",
-       "                                          yes                                                      33.3   \n",
-       "DMARDs                                    no                                                       39.2   \n",
-       "                                          yes                                                      33.3   \n",
-       "Dementia                                  no                                                       38.9   \n",
-       "                                          yes                                                      66.7   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       38.9   \n",
-       "                                          yes                                                      66.7   \n",
-       "SSRI (last 12 months)                     no                                                       39.5   \n",
-       "                                          yes                                                       0.0   \n",
-       "Chemo or radiotherapy                     no                                                       39.2   \n",
-       "                                          yes                                                      33.3   \n",
-       "Cancer (lung)                             no                                                       39.3   \n",
-       "                                          yes                                                      50.0   \n",
-       "Cancer (excluding lung/haem)              no                                                       39.0   \n",
+       "overall                                   overall                                                  41.5   \n",
+       "Sex                                       F                                                        43.0   \n",
+       "                                          M                                                        39.9   \n",
+       "Ethnicity (broad categories)              Black                                                    40.8   \n",
+       "                                          Mixed                                                    41.1   \n",
+       "                                          Other                                                    43.4   \n",
+       "                                          South Asian                                              42.4   \n",
+       "                                          Unknown                                                  41.5   \n",
+       "                                          White                                                    40.3   \n",
+       "ethnicity 16 groups                        African                                                 36.0   \n",
+       "                                           Bangladeshi or British Bangladeshi                      34.8   \n",
+       "                                           Caribbean                                               44.0   \n",
+       "                                           Chinese                                                 44.0   \n",
+       "                                           Other                                                   45.8   \n",
+       "                                           Other Asian                                             45.8   \n",
+       "                                          British or Mixed British                                 34.8   \n",
+       "                                          Indian or British Indian                                 48.0   \n",
+       "                                          Irish                                                    46.2   \n",
+       "                                          Other Black                                              41.7   \n",
+       "                                          Other White                                              44.4   \n",
+       "                                          Other mixed                                              40.0   \n",
+       "                                          Pakistani or British Pakistani                           40.9   \n",
+       "                                          Unknown                                                  37.7   \n",
+       "                                          White + Asian                                            45.8   \n",
+       "                                          White + Black African                                    42.1   \n",
+       "                                          White + Black Caribbean                                  47.8   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          40.0   \n",
+       "                                          2                                                        41.9   \n",
+       "                                          3                                                        43.4   \n",
+       "                                          4                                                        38.5   \n",
+       "                                          5 Least deprived                                         44.7   \n",
+       "                                          Unknown                                                  42.3   \n",
+       "BMI                                       30+                                                      41.2   \n",
+       "                                          under 30                                                 41.7   \n",
+       "Chronic cardiac disease                   no                                                       41.4   \n",
+       "                                          yes                                                      25.0   \n",
+       "Current COPD                              no                                                       41.5   \n",
+       "                                          yes                                                      40.0   \n",
+       "DMARDs                                    no                                                       41.4   \n",
+       "                                          yes                                                      25.0   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                       41.2   \n",
        "                                          yes                                                      50.0   \n",
-       "Cancer (haematological)                   no                                                       39.0   \n",
+       "SSRI (last 12 months)                     no                                                       41.4   \n",
        "                                          yes                                                      50.0   \n",
        "\n",
        "                                                                               Total eligible  \\\n",
        "Category                                  Group                                                 \n",
-       "overall                                   overall                                        2576   \n",
-       "Sex                                       F                                              1288   \n",
-       "                                          M                                              1288   \n",
-       "Ethnicity (broad categories)              Black                                           420   \n",
-       "                                          Mixed                                           441   \n",
-       "                                          Other                                           476   \n",
-       "                                          South Asian                                     462   \n",
-       "                                          Unknown                                         350   \n",
-       "                                          White                                           427   \n",
-       "ethnicity 16 groups                        African                                        112   \n",
-       "                                           Bangladeshi or British Bangladeshi             133   \n",
-       "                                           Caribbean                                      140   \n",
-       "                                           Chinese                                        154   \n",
-       "                                           Other                                          126   \n",
-       "                                           Other Asian                                    119   \n",
-       "                                          British or Mixed British                        133   \n",
-       "                                          Indian or British Indian                        147   \n",
-       "                                          Irish                                           140   \n",
-       "                                          Other Black                                     147   \n",
-       "                                          Other White                                     112   \n",
-       "                                          Other mixed                                     133   \n",
-       "                                          Pakistani or British Pakistani                  147   \n",
-       "                                          Unknown                                         413   \n",
-       "                                          White + Asian                                   147   \n",
+       "overall                                   overall                                        3136   \n",
+       "Sex                                       F                                              1645   \n",
+       "                                          M                                              1491   \n",
+       "Ethnicity (broad categories)              Black                                           532   \n",
+       "                                          Mixed                                           511   \n",
+       "                                          Other                                           532   \n",
+       "                                          South Asian                                     595   \n",
+       "                                          Unknown                                         455   \n",
+       "                                          White                                           504   \n",
+       "ethnicity 16 groups                        African                                        175   \n",
+       "                                           Bangladeshi or British Bangladeshi             161   \n",
+       "                                           Caribbean                                      175   \n",
+       "                                           Chinese                                        175   \n",
+       "                                           Other                                          168   \n",
+       "                                           Other Asian                                    168   \n",
+       "                                          British or Mixed British                        161   \n",
+       "                                          Indian or British Indian                        175   \n",
+       "                                          Irish                                           182   \n",
+       "                                          Other Black                                     168   \n",
+       "                                          Other White                                     189   \n",
+       "                                          Other mixed                                     140   \n",
+       "                                          Pakistani or British Pakistani                  154   \n",
+       "                                          Unknown                                         483   \n",
+       "                                          White + Asian                                   168   \n",
        "                                          White + Black African                           133   \n",
-       "                                          White + Black Caribbean                         147   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 469   \n",
-       "                                          2                                               497   \n",
-       "                                          3                                               511   \n",
-       "                                          4                                               525   \n",
-       "                                          5 Least deprived                                441   \n",
-       "                                          Unknown                                         133   \n",
-       "BMI                                       30+                                             777   \n",
-       "                                          under 30                                       1799   \n",
-       "Chronic cardiac disease                   no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "Current COPD                              no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "DMARDs                                    no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "Dementia                                  no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "SSRI (last 12 months)                     no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "Chemo or radiotherapy                     no                                             2555   \n",
-       "                                          yes                                              21   \n",
-       "Cancer (lung)                             no                                             2548   \n",
+       "                                          White + Black Caribbean                         161   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 595   \n",
+       "                                          2                                               602   \n",
+       "                                          3                                               581   \n",
+       "                                          4                                               637   \n",
+       "                                          5 Least deprived                                532   \n",
+       "                                          Unknown                                         182   \n",
+       "BMI                                       30+                                             952   \n",
+       "                                          under 30                                       2184   \n",
+       "Chronic cardiac disease                   no                                             3108   \n",
+       "                                          yes                                              28   \n",
+       "Current COPD                              no                                             3101   \n",
+       "                                          yes                                              35   \n",
+       "DMARDs                                    no                                             3108   \n",
        "                                          yes                                              28   \n",
-       "Cancer (excluding lung/haem)              no                                             2548   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             3108   \n",
        "                                          yes                                              28   \n",
-       "Cancer (haematological)                   no                                             2548   \n",
+       "SSRI (last 12 months)                     no                                             3108   \n",
        "                                          yes                                              28   \n",
        "\n",
        "                                                                               Previous week's vaccination coverage (%)  \\\n",
        "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  35.8   \n",
-       "Sex                                       F                                                                        34.8   \n",
-       "                                          M                                                                        37.0   \n",
-       "Ethnicity (broad categories)              Black                                                                    35.0   \n",
-       "                                          Mixed                                                                    34.9   \n",
-       "                                          Other                                                                    39.7   \n",
-       "                                          South Asian                                                              33.3   \n",
-       "                                          Unknown                                                                  36.0   \n",
-       "                                          White                                                                    36.1   \n",
-       "ethnicity 16 groups                        African                                                                 31.2   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      36.8   \n",
-       "                                           Caribbean                                                               40.0   \n",
-       "                                           Chinese                                                                 31.8   \n",
-       "                                           Other                                                                   38.9   \n",
-       "                                           Other Asian                                                             41.2   \n",
-       "                                          British or Mixed British                                                 36.8   \n",
-       "                                          Indian or British Indian                                                 33.3   \n",
-       "                                          Irish                                                                    40.0   \n",
-       "                                          Other Black                                                              42.9   \n",
-       "                                          Other White                                                              37.5   \n",
-       "                                          Other mixed                                                              31.6   \n",
-       "                                          Pakistani or British Pakistani                                           33.3   \n",
-       "                                          Unknown                                                                  37.3   \n",
-       "                                          White + Asian                                                            28.6   \n",
-       "                                          White + Black African                                                    31.6   \n",
-       "                                          White + Black Caribbean                                                  33.3   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          34.3   \n",
-       "                                          2                                                                        38.0   \n",
-       "                                          3                                                                        37.0   \n",
-       "                                          4                                                                        33.3   \n",
-       "                                          5 Least deprived                                                         36.5   \n",
-       "                                          Unknown                                                                  31.6   \n",
-       "BMI                                       30+                                                                      36.0   \n",
-       "                                          under 30                                                                 35.8   \n",
-       "Chronic cardiac disease                   no                                                                       35.6   \n",
-       "                                          yes                                                                      66.7   \n",
-       "Current COPD                              no                                                                       35.9   \n",
-       "                                          yes                                                                      33.3   \n",
-       "DMARDs                                    no                                                                       35.6   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Dementia                                  no                                                                       35.6   \n",
-       "                                          yes                                                                      66.7   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       35.6   \n",
-       "                                          yes                                                                      33.3   \n",
-       "SSRI (last 12 months)                     no                                                                       35.9   \n",
-       "                                          yes                                                                       0.0   \n",
-       "Chemo or radiotherapy                     no                                                                       35.9   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Cancer (lung)                             no                                                                       36.0   \n",
+       "overall                                   overall                                                                  38.8   \n",
+       "Sex                                       F                                                                        39.1   \n",
+       "                                          M                                                                        38.5   \n",
+       "Ethnicity (broad categories)              Black                                                                    38.2   \n",
+       "                                          Mixed                                                                    38.4   \n",
+       "                                          Other                                                                    40.8   \n",
+       "                                          South Asian                                                              40.0   \n",
+       "                                          Unknown                                                                  38.5   \n",
+       "                                          White                                                                    37.5   \n",
+       "ethnicity 16 groups                        African                                                                 32.0   \n",
+       "                                           Bangladeshi or British Bangladeshi                                      30.4   \n",
+       "                                           Caribbean                                                               44.0   \n",
+       "                                           Chinese                                                                 40.0   \n",
+       "                                           Other                                                                   41.7   \n",
+       "                                           Other Asian                                                             41.7   \n",
+       "                                          British or Mixed British                                                 30.4   \n",
+       "                                          Indian or British Indian                                                 48.0   \n",
+       "                                          Irish                                                                    42.3   \n",
+       "                                          Other Black                                                              37.5   \n",
+       "                                          Other White                                                              40.7   \n",
+       "                                          Other mixed                                                              35.0   \n",
+       "                                          Pakistani or British Pakistani                                           36.4   \n",
+       "                                          Unknown                                                                  36.2   \n",
+       "                                          White + Asian                                                            41.7   \n",
+       "                                          White + Black African                                                    36.8   \n",
+       "                                          White + Black Caribbean                                                  43.5   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          37.6   \n",
+       "                                          2                                                                        39.5   \n",
+       "                                          3                                                                        39.8   \n",
+       "                                          4                                                                        36.3   \n",
+       "                                          5 Least deprived                                                         42.1   \n",
+       "                                          Unknown                                                                  38.5   \n",
+       "BMI                                       30+                                                                      39.0   \n",
+       "                                          under 30                                                                 38.8   \n",
+       "Chronic cardiac disease                   no                                                                       38.7   \n",
+       "                                          yes                                                                      25.0   \n",
+       "Current COPD                              no                                                                       38.8   \n",
+       "                                          yes                                                                      40.0   \n",
+       "DMARDs                                    no                                                                       38.7   \n",
        "                                          yes                                                                      25.0   \n",
-       "Cancer (excluding lung/haem)              no                                                                       35.7   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                                       38.7   \n",
        "                                          yes                                                                      50.0   \n",
-       "Cancer (haematological)                   no                                                                       35.7   \n",
+       "SSRI (last 12 months)                     no                                                                       38.7   \n",
        "                                          yes                                                                      50.0   \n",
        "\n",
        "                                                                               Vaccinated over last 7d (%)  \n",
        "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      3.4  \n",
-       "Sex                                       F                                                            3.8  \n",
-       "                                          M                                                            2.7  \n",
-       "Ethnicity (broad categories)              Black                                                        3.3  \n",
-       "                                          Mixed                                                        3.2  \n",
-       "                                          Other                                                        2.9  \n",
-       "                                          South Asian                                                  3.1  \n",
-       "                                          Unknown                                                      4.0  \n",
-       "                                          White                                                        3.2  \n",
-       "ethnicity 16 groups                        African                                                     6.3  \n",
-       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
-       "                                           Caribbean                                                   5.0  \n",
-       "                                           Chinese                                                     4.6  \n",
-       "                                           Other                                                       0.0  \n",
-       "                                           Other Asian                                                 0.0  \n",
-       "                                          British or Mixed British                                     0.0  \n",
-       "                                          Indian or British Indian                                     4.8  \n",
-       "                                          Irish                                                        5.0  \n",
-       "                                          Other Black                                                  0.0  \n",
-       "                                          Other White                                                  6.3  \n",
-       "                                          Other mixed                                                  0.0  \n",
-       "                                          Pakistani or British Pakistani                               4.8  \n",
-       "                                          Unknown                                                      1.7  \n",
-       "                                          White + Asian                                                4.7  \n",
-       "                                          White + Black African                                        5.2  \n",
-       "                                          White + Black Caribbean                                      4.8  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              4.5  \n",
-       "                                          2                                                            2.8  \n",
-       "                                          3                                                            4.1  \n",
-       "                                          4                                                            4.0  \n",
-       "                                          5 Least deprived                                             3.2  \n",
-       "                                          Unknown                                                      5.2  \n",
-       "BMI                                       30+                                                          1.8  \n",
-       "                                          under 30                                                     3.9  \n",
-       "Chronic cardiac disease                   no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Current COPD                              no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           3.6  \n",
-       "                                          yes                                                          0.0  \n",
-       "Dementia                                  no                                                           3.3  \n",
+       "overall                                   overall                                                      2.7  \n",
+       "Sex                                       F                                                            3.9  \n",
+       "                                          M                                                            1.4  \n",
+       "Ethnicity (broad categories)              Black                                                        2.6  \n",
+       "                                          Mixed                                                        2.7  \n",
+       "                                          Other                                                        2.6  \n",
+       "                                          South Asian                                                  2.4  \n",
+       "                                          Unknown                                                      3.0  \n",
+       "                                          White                                                        2.8  \n",
+       "ethnicity 16 groups                        African                                                     4.0  \n",
+       "                                           Bangladeshi or British Bangladeshi                          4.4  \n",
+       "                                           Caribbean                                                   0.0  \n",
+       "                                           Chinese                                                     4.0  \n",
+       "                                           Other                                                       4.1  \n",
+       "                                           Other Asian                                                 4.1  \n",
+       "                                          British or Mixed British                                     4.4  \n",
+       "                                          Indian or British Indian                                     0.0  \n",
+       "                                          Irish                                                        3.9  \n",
+       "                                          Other Black                                                  4.2  \n",
+       "                                          Other White                                                  3.7  \n",
+       "                                          Other mixed                                                  5.0  \n",
+       "                                          Pakistani or British Pakistani                               4.5  \n",
+       "                                          Unknown                                                      1.5  \n",
+       "                                          White + Asian                                                4.1  \n",
+       "                                          White + Black African                                        5.3  \n",
+       "                                          White + Black Caribbean                                      4.3  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              2.4  \n",
+       "                                          2                                                            2.4  \n",
+       "                                          3                                                            3.6  \n",
+       "                                          4                                                            2.2  \n",
+       "                                          5 Least deprived                                             2.6  \n",
+       "                                          Unknown                                                      3.8  \n",
+       "BMI                                       30+                                                          2.2  \n",
+       "                                          under 30                                                     2.9  \n",
+       "Chronic cardiac disease                   no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                           3.3  \n",
-       "                                          yes                                                         33.4  \n",
-       "SSRI (last 12 months)                     no                                                           3.6  \n",
+       "Current COPD                              no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           3.3  \n",
+       "DMARDs                                    no                                                           2.7  \n",
        "                                          yes                                                          0.0  \n",
-       "Cancer (lung)                             no                                                           3.3  \n",
-       "                                          yes                                                         25.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.3  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           2.5  \n",
        "                                          yes                                                          0.0  \n",
-       "Cancer (haematological)                   no                                                           3.3  \n",
+       "SSRI (last 12 months)                     no                                                           2.7  \n",
        "                                          yes                                                          0.0  "
       ]
      },
@@ -28761,7 +35301,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among under 60s, not in other eligible groups shown population \n",
+       " ## Cumulative vaccination figures among under 55s, not in other eligible groups shown population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -28793,7 +35333,7 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th></th>\n",
-       "      <th>Vaccinated at 05 Mar (n)</th>\n",
+       "      <th>Vaccinated at 30 Mar (n)</th>\n",
        "      <th>Previous week's vaccination figure (n)</th>\n",
        "      <th>Vaccinated over last 7d (n)</th>\n",
        "      <th>Increase in coverage over last 7d (%)</th>\n",
@@ -28811,569 +35351,569 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>14811</td>\n",
-       "      <td>13605.0</td>\n",
-       "      <td>1206.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13468</td>\n",
+       "      <td>12658.0</td>\n",
+       "      <td>810.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>7630</td>\n",
-       "      <td>7014.0</td>\n",
-       "      <td>616.0</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>6860</td>\n",
+       "      <td>6461.0</td>\n",
+       "      <td>399.0</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>7182</td>\n",
-       "      <td>6594.0</td>\n",
-       "      <td>588.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>6608</td>\n",
+       "      <td>6195.0</td>\n",
+       "      <td>413.0</td>\n",
+       "      <td>6.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">Age band</th>\n",
        "      <th>16-29</th>\n",
-       "      <td>1771</td>\n",
-       "      <td>1631.0</td>\n",
-       "      <td>140.0</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1645</td>\n",
+       "      <td>1540.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>6.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-39</th>\n",
-       "      <td>1834</td>\n",
-       "      <td>1687.0</td>\n",
-       "      <td>147.0</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>1687</td>\n",
+       "      <td>1575.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>7.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-49</th>\n",
-       "      <td>1862</td>\n",
-       "      <td>1715.0</td>\n",
-       "      <td>147.0</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1687</td>\n",
+       "      <td>1596.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>5.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-59</th>\n",
-       "      <td>1918</td>\n",
-       "      <td>1778.0</td>\n",
-       "      <td>140.0</td>\n",
-       "      <td>7.9</td>\n",
+       "      <td>1750</td>\n",
+       "      <td>1652.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-69</th>\n",
-       "      <td>1876</td>\n",
-       "      <td>1715.0</td>\n",
-       "      <td>161.0</td>\n",
-       "      <td>9.4</td>\n",
+       "      <td>1722</td>\n",
+       "      <td>1631.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>5.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-79</th>\n",
-       "      <td>3689</td>\n",
-       "      <td>3367.0</td>\n",
-       "      <td>322.0</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>3402</td>\n",
+       "      <td>3178.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>7.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>1862</td>\n",
-       "      <td>1715.0</td>\n",
-       "      <td>147.0</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1582</td>\n",
+       "      <td>1484.0</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>6.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
        "      <th>Black</th>\n",
-       "      <td>2436</td>\n",
-       "      <td>2233.0</td>\n",
-       "      <td>203.0</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>2310</td>\n",
+       "      <td>2156.0</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>7.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>2548</td>\n",
-       "      <td>2345.0</td>\n",
-       "      <td>203.0</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>2289</td>\n",
+       "      <td>2170.0</td>\n",
+       "      <td>119.0</td>\n",
+       "      <td>5.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>2527</td>\n",
-       "      <td>2345.0</td>\n",
-       "      <td>182.0</td>\n",
-       "      <td>7.8</td>\n",
+       "      <td>2268</td>\n",
+       "      <td>2142.0</td>\n",
+       "      <td>126.0</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>2562</td>\n",
-       "      <td>2352.0</td>\n",
-       "      <td>210.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>2345</td>\n",
+       "      <td>2205.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>6.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>2212</td>\n",
-       "      <td>2016.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>9.7</td>\n",
+       "      <td>1995</td>\n",
+       "      <td>1855.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>7.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>2513</td>\n",
-       "      <td>2303.0</td>\n",
-       "      <td>210.0</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>2254</td>\n",
+       "      <td>2121.0</td>\n",
+       "      <td>133.0</td>\n",
+       "      <td>6.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>819</td>\n",
-       "      <td>742.0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>10.4</td>\n",
+       "      <td>707</td>\n",
+       "      <td>672.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>735</td>\n",
-       "      <td>686.0</td>\n",
+       "      <td>679</td>\n",
+       "      <td>630.0</td>\n",
        "      <td>49.0</td>\n",
-       "      <td>7.1</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>812</td>\n",
-       "      <td>756.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>7.4</td>\n",
+       "      <td>693</td>\n",
+       "      <td>651.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>798</td>\n",
-       "      <td>735.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>700</td>\n",
+       "      <td>665.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
        "      <td>735</td>\n",
-       "      <td>679.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>693.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>819</td>\n",
-       "      <td>749.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>700</td>\n",
+       "      <td>658.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>770</td>\n",
-       "      <td>693.0</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>11.1</td>\n",
+       "      <td>700</td>\n",
+       "      <td>658.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>770</td>\n",
-       "      <td>714.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>7.8</td>\n",
+       "      <td>707</td>\n",
+       "      <td>658.0</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>7.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>763</td>\n",
-       "      <td>700.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>9.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>728.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>5.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>854</td>\n",
-       "      <td>791.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>8.0</td>\n",
+       "      <td>735</td>\n",
+       "      <td>693.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>770</td>\n",
-       "      <td>707.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>721</td>\n",
+       "      <td>672.0</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>7.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>777</td>\n",
-       "      <td>707.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>9.9</td>\n",
+       "      <td>686</td>\n",
+       "      <td>644.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>791</td>\n",
-       "      <td>728.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>777</td>\n",
+       "      <td>721.0</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>2254</td>\n",
-       "      <td>2065.0</td>\n",
-       "      <td>189.0</td>\n",
-       "      <td>9.2</td>\n",
+       "      <td>2072</td>\n",
+       "      <td>1932.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>7.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>798</td>\n",
-       "      <td>728.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>714</td>\n",
+       "      <td>679.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>5.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>749</td>\n",
-       "      <td>693.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>8.1</td>\n",
+       "      <td>714</td>\n",
+       "      <td>672.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>791</td>\n",
-       "      <td>721.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>9.7</td>\n",
+       "      <td>665</td>\n",
+       "      <td>623.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>2793</td>\n",
-       "      <td>2576.0</td>\n",
-       "      <td>217.0</td>\n",
-       "      <td>8.4</td>\n",
+       "      <td>2520</td>\n",
+       "      <td>2373.0</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>2618.0</td>\n",
-       "      <td>245.0</td>\n",
-       "      <td>9.4</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>2450.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>6.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2856</td>\n",
-       "      <td>2632.0</td>\n",
-       "      <td>224.0</td>\n",
-       "      <td>8.5</td>\n",
+       "      <td>2506</td>\n",
+       "      <td>2352.0</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2772</td>\n",
-       "      <td>2548.0</td>\n",
-       "      <td>224.0</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>2625</td>\n",
+       "      <td>2464.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>2828</td>\n",
-       "      <td>2583.0</td>\n",
-       "      <td>245.0</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>2555</td>\n",
+       "      <td>2401.0</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>707</td>\n",
-       "      <td>651.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>651</td>\n",
+       "      <td>609.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>6.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
        "      <th>30+</th>\n",
-       "      <td>4375</td>\n",
-       "      <td>4018.0</td>\n",
-       "      <td>357.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>4046</td>\n",
+       "      <td>3808.0</td>\n",
+       "      <td>238.0</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>10437</td>\n",
-       "      <td>9583.0</td>\n",
-       "      <td>854.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>9422</td>\n",
+       "      <td>8855.0</td>\n",
+       "      <td>567.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Chronic cardiac disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>14686</td>\n",
-       "      <td>13489.0</td>\n",
-       "      <td>1197.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12523.0</td>\n",
+       "      <td>805.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>126</td>\n",
-       "      <td>119.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>133.0</td>\n",
        "      <td>7.0</td>\n",
-       "      <td>5.9</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
        "      <th>no</th>\n",
-       "      <td>14644</td>\n",
-       "      <td>13454.0</td>\n",
-       "      <td>1190.0</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12530.0</td>\n",
+       "      <td>798.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>161</td>\n",
-       "      <td>147.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>126.0</td>\n",
        "      <td>14.0</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>11.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
        "      <th>no</th>\n",
-       "      <td>14651</td>\n",
-       "      <td>13461.0</td>\n",
-       "      <td>1190.0</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12530.0</td>\n",
+       "      <td>798.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>154</td>\n",
-       "      <td>147.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>133.0</td>\n",
        "      <td>7.0</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
        "      <th>no</th>\n",
-       "      <td>14665</td>\n",
-       "      <td>13468.0</td>\n",
-       "      <td>1197.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13335</td>\n",
+       "      <td>12537.0</td>\n",
+       "      <td>798.0</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>147</td>\n",
-       "      <td>133.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>10.5</td>\n",
+       "      <td>133</td>\n",
+       "      <td>126.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.6</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
+       "                                                                               Vaccinated at 30 Mar (n)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                 14811   \n",
-       "Sex                                       F                                                        7630   \n",
-       "                                          M                                                        7182   \n",
-       "Age band                                  16-29                                                    1771   \n",
-       "                                          30-39                                                    1834   \n",
-       "                                          40-49                                                    1862   \n",
-       "                                          50-59                                                    1918   \n",
-       "                                          60-69                                                    1876   \n",
-       "                                          70-79                                                    3689   \n",
-       "                                          80+                                                      1862   \n",
-       "Ethnicity (broad categories)              Black                                                    2436   \n",
-       "                                          Mixed                                                    2548   \n",
-       "                                          Other                                                    2527   \n",
-       "                                          South Asian                                              2562   \n",
-       "                                          Unknown                                                  2212   \n",
-       "                                          White                                                    2513   \n",
-       "ethnicity 16 groups                        African                                                  819   \n",
-       "                                           Bangladeshi or British Bangladeshi                       735   \n",
-       "                                           Caribbean                                                812   \n",
-       "                                           Chinese                                                  798   \n",
+       "overall                                   overall                                                 13468   \n",
+       "Sex                                       F                                                        6860   \n",
+       "                                          M                                                        6608   \n",
+       "Age band                                  16-29                                                    1645   \n",
+       "                                          30-39                                                    1687   \n",
+       "                                          40-49                                                    1687   \n",
+       "                                          50-59                                                    1750   \n",
+       "                                          60-69                                                    1722   \n",
+       "                                          70-79                                                    3402   \n",
+       "                                          80+                                                      1582   \n",
+       "Ethnicity (broad categories)              Black                                                    2310   \n",
+       "                                          Mixed                                                    2289   \n",
+       "                                          Other                                                    2268   \n",
+       "                                          South Asian                                              2345   \n",
+       "                                          Unknown                                                  1995   \n",
+       "                                          White                                                    2254   \n",
+       "ethnicity 16 groups                        African                                                  707   \n",
+       "                                           Bangladeshi or British Bangladeshi                       679   \n",
+       "                                           Caribbean                                                693   \n",
+       "                                           Chinese                                                  700   \n",
        "                                           Other                                                    735   \n",
-       "                                           Other Asian                                              819   \n",
-       "                                          British or Mixed British                                  770   \n",
-       "                                          Indian or British Indian                                  770   \n",
-       "                                          Irish                                                     763   \n",
-       "                                          Other Black                                               854   \n",
-       "                                          Other White                                               770   \n",
-       "                                          Other mixed                                               777   \n",
-       "                                          Pakistani or British Pakistani                            791   \n",
-       "                                          Unknown                                                  2254   \n",
-       "                                          White + Asian                                             798   \n",
-       "                                          White + Black African                                     749   \n",
-       "                                          White + Black Caribbean                                   791   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          2793   \n",
-       "                                          2                                                        2863   \n",
-       "                                          3                                                        2856   \n",
-       "                                          4                                                        2772   \n",
-       "                                          5 Least deprived                                         2828   \n",
-       "                                          Unknown                                                   707   \n",
-       "BMI                                       30+                                                      4375   \n",
-       "                                          under 30                                                10437   \n",
-       "Chronic cardiac disease                   no                                                      14686   \n",
-       "                                          yes                                                       126   \n",
-       "Current COPD                              no                                                      14644   \n",
-       "                                          yes                                                       161   \n",
-       "DMARDs                                    no                                                      14651   \n",
-       "                                          yes                                                       154   \n",
-       "SSRI (last 12 months)                     no                                                      14665   \n",
-       "                                          yes                                                       147   \n",
+       "                                           Other Asian                                              700   \n",
+       "                                          British or Mixed British                                  700   \n",
+       "                                          Indian or British Indian                                  707   \n",
+       "                                          Irish                                                     770   \n",
+       "                                          Other Black                                               735   \n",
+       "                                          Other White                                               721   \n",
+       "                                          Other mixed                                               686   \n",
+       "                                          Pakistani or British Pakistani                            777   \n",
+       "                                          Unknown                                                  2072   \n",
+       "                                          White + Asian                                             714   \n",
+       "                                          White + Black African                                     714   \n",
+       "                                          White + Black Caribbean                                   665   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          2520   \n",
+       "                                          2                                                        2611   \n",
+       "                                          3                                                        2506   \n",
+       "                                          4                                                        2625   \n",
+       "                                          5 Least deprived                                         2555   \n",
+       "                                          Unknown                                                   651   \n",
+       "BMI                                       30+                                                      4046   \n",
+       "                                          under 30                                                 9422   \n",
+       "Chronic cardiac disease                   no                                                      13328   \n",
+       "                                          yes                                                       140   \n",
+       "Current COPD                              no                                                      13328   \n",
+       "                                          yes                                                       140   \n",
+       "DMARDs                                    no                                                      13328   \n",
+       "                                          yes                                                       140   \n",
+       "SSRI (last 12 months)                     no                                                      13335   \n",
+       "                                          yes                                                       133   \n",
        "\n",
        "                                                                               Previous week's vaccination figure (n)  \\\n",
        "Category                                  Group                                                                         \n",
-       "overall                                   overall                                                             13605.0   \n",
-       "Sex                                       F                                                                    7014.0   \n",
-       "                                          M                                                                    6594.0   \n",
-       "Age band                                  16-29                                                                1631.0   \n",
-       "                                          30-39                                                                1687.0   \n",
-       "                                          40-49                                                                1715.0   \n",
-       "                                          50-59                                                                1778.0   \n",
-       "                                          60-69                                                                1715.0   \n",
-       "                                          70-79                                                                3367.0   \n",
-       "                                          80+                                                                  1715.0   \n",
-       "Ethnicity (broad categories)              Black                                                                2233.0   \n",
-       "                                          Mixed                                                                2345.0   \n",
-       "                                          Other                                                                2345.0   \n",
-       "                                          South Asian                                                          2352.0   \n",
-       "                                          Unknown                                                              2016.0   \n",
-       "                                          White                                                                2303.0   \n",
-       "ethnicity 16 groups                        African                                                              742.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                                   686.0   \n",
-       "                                           Caribbean                                                            756.0   \n",
-       "                                           Chinese                                                              735.0   \n",
-       "                                           Other                                                                679.0   \n",
-       "                                           Other Asian                                                          749.0   \n",
-       "                                          British or Mixed British                                              693.0   \n",
-       "                                          Indian or British Indian                                              714.0   \n",
-       "                                          Irish                                                                 700.0   \n",
-       "                                          Other Black                                                           791.0   \n",
-       "                                          Other White                                                           707.0   \n",
-       "                                          Other mixed                                                           707.0   \n",
-       "                                          Pakistani or British Pakistani                                        728.0   \n",
-       "                                          Unknown                                                              2065.0   \n",
-       "                                          White + Asian                                                         728.0   \n",
-       "                                          White + Black African                                                 693.0   \n",
-       "                                          White + Black Caribbean                                               721.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                      2576.0   \n",
-       "                                          2                                                                    2618.0   \n",
-       "                                          3                                                                    2632.0   \n",
-       "                                          4                                                                    2548.0   \n",
-       "                                          5 Least deprived                                                     2583.0   \n",
-       "                                          Unknown                                                               651.0   \n",
-       "BMI                                       30+                                                                  4018.0   \n",
-       "                                          under 30                                                             9583.0   \n",
-       "Chronic cardiac disease                   no                                                                  13489.0   \n",
-       "                                          yes                                                                   119.0   \n",
-       "Current COPD                              no                                                                  13454.0   \n",
-       "                                          yes                                                                   147.0   \n",
-       "DMARDs                                    no                                                                  13461.0   \n",
-       "                                          yes                                                                   147.0   \n",
-       "SSRI (last 12 months)                     no                                                                  13468.0   \n",
+       "overall                                   overall                                                             12658.0   \n",
+       "Sex                                       F                                                                    6461.0   \n",
+       "                                          M                                                                    6195.0   \n",
+       "Age band                                  16-29                                                                1540.0   \n",
+       "                                          30-39                                                                1575.0   \n",
+       "                                          40-49                                                                1596.0   \n",
+       "                                          50-59                                                                1652.0   \n",
+       "                                          60-69                                                                1631.0   \n",
+       "                                          70-79                                                                3178.0   \n",
+       "                                          80+                                                                  1484.0   \n",
+       "Ethnicity (broad categories)              Black                                                                2156.0   \n",
+       "                                          Mixed                                                                2170.0   \n",
+       "                                          Other                                                                2142.0   \n",
+       "                                          South Asian                                                          2205.0   \n",
+       "                                          Unknown                                                              1855.0   \n",
+       "                                          White                                                                2121.0   \n",
+       "ethnicity 16 groups                        African                                                              672.0   \n",
+       "                                           Bangladeshi or British Bangladeshi                                   630.0   \n",
+       "                                           Caribbean                                                            651.0   \n",
+       "                                           Chinese                                                              665.0   \n",
+       "                                           Other                                                                693.0   \n",
+       "                                           Other Asian                                                          658.0   \n",
+       "                                          British or Mixed British                                              658.0   \n",
+       "                                          Indian or British Indian                                              658.0   \n",
+       "                                          Irish                                                                 728.0   \n",
+       "                                          Other Black                                                           693.0   \n",
+       "                                          Other White                                                           672.0   \n",
+       "                                          Other mixed                                                           644.0   \n",
+       "                                          Pakistani or British Pakistani                                        721.0   \n",
+       "                                          Unknown                                                              1932.0   \n",
+       "                                          White + Asian                                                         679.0   \n",
+       "                                          White + Black African                                                 672.0   \n",
+       "                                          White + Black Caribbean                                               623.0   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                      2373.0   \n",
+       "                                          2                                                                    2450.0   \n",
+       "                                          3                                                                    2352.0   \n",
+       "                                          4                                                                    2464.0   \n",
+       "                                          5 Least deprived                                                     2401.0   \n",
+       "                                          Unknown                                                               609.0   \n",
+       "BMI                                       30+                                                                  3808.0   \n",
+       "                                          under 30                                                             8855.0   \n",
+       "Chronic cardiac disease                   no                                                                  12523.0   \n",
+       "                                          yes                                                                   133.0   \n",
+       "Current COPD                              no                                                                  12530.0   \n",
+       "                                          yes                                                                   126.0   \n",
+       "DMARDs                                    no                                                                  12530.0   \n",
        "                                          yes                                                                   133.0   \n",
+       "SSRI (last 12 months)                     no                                                                  12537.0   \n",
+       "                                          yes                                                                   126.0   \n",
        "\n",
        "                                                                               Vaccinated over last 7d (n)  \\\n",
        "Category                                  Group                                                              \n",
-       "overall                                   overall                                                   1206.0   \n",
-       "Sex                                       F                                                          616.0   \n",
-       "                                          M                                                          588.0   \n",
-       "Age band                                  16-29                                                      140.0   \n",
-       "                                          30-39                                                      147.0   \n",
-       "                                          40-49                                                      147.0   \n",
-       "                                          50-59                                                      140.0   \n",
-       "                                          60-69                                                      161.0   \n",
-       "                                          70-79                                                      322.0   \n",
-       "                                          80+                                                        147.0   \n",
-       "Ethnicity (broad categories)              Black                                                      203.0   \n",
-       "                                          Mixed                                                      203.0   \n",
-       "                                          Other                                                      182.0   \n",
-       "                                          South Asian                                                210.0   \n",
-       "                                          Unknown                                                    196.0   \n",
-       "                                          White                                                      210.0   \n",
-       "ethnicity 16 groups                        African                                                    77.0   \n",
+       "overall                                   overall                                                    810.0   \n",
+       "Sex                                       F                                                          399.0   \n",
+       "                                          M                                                          413.0   \n",
+       "Age band                                  16-29                                                      105.0   \n",
+       "                                          30-39                                                      112.0   \n",
+       "                                          40-49                                                       91.0   \n",
+       "                                          50-59                                                       98.0   \n",
+       "                                          60-69                                                       91.0   \n",
+       "                                          70-79                                                      224.0   \n",
+       "                                          80+                                                         98.0   \n",
+       "Ethnicity (broad categories)              Black                                                      154.0   \n",
+       "                                          Mixed                                                      119.0   \n",
+       "                                          Other                                                      126.0   \n",
+       "                                          South Asian                                                140.0   \n",
+       "                                          Unknown                                                    140.0   \n",
+       "                                          White                                                      133.0   \n",
+       "ethnicity 16 groups                        African                                                    35.0   \n",
        "                                           Bangladeshi or British Bangladeshi                         49.0   \n",
-       "                                           Caribbean                                                  56.0   \n",
-       "                                           Chinese                                                    63.0   \n",
-       "                                           Other                                                      56.0   \n",
-       "                                           Other Asian                                                70.0   \n",
-       "                                          British or Mixed British                                    77.0   \n",
-       "                                          Indian or British Indian                                    56.0   \n",
-       "                                          Irish                                                       63.0   \n",
-       "                                          Other Black                                                 63.0   \n",
-       "                                          Other White                                                 63.0   \n",
-       "                                          Other mixed                                                 70.0   \n",
-       "                                          Pakistani or British Pakistani                              63.0   \n",
-       "                                          Unknown                                                    189.0   \n",
-       "                                          White + Asian                                               70.0   \n",
-       "                                          White + Black African                                       56.0   \n",
-       "                                          White + Black Caribbean                                     70.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                            217.0   \n",
-       "                                          2                                                          245.0   \n",
-       "                                          3                                                          224.0   \n",
-       "                                          4                                                          224.0   \n",
-       "                                          5 Least deprived                                           245.0   \n",
-       "                                          Unknown                                                     56.0   \n",
-       "BMI                                       30+                                                        357.0   \n",
-       "                                          under 30                                                   854.0   \n",
-       "Chronic cardiac disease                   no                                                        1197.0   \n",
+       "                                           Caribbean                                                  42.0   \n",
+       "                                           Chinese                                                    35.0   \n",
+       "                                           Other                                                      42.0   \n",
+       "                                           Other Asian                                                42.0   \n",
+       "                                          British or Mixed British                                    42.0   \n",
+       "                                          Indian or British Indian                                    49.0   \n",
+       "                                          Irish                                                       42.0   \n",
+       "                                          Other Black                                                 42.0   \n",
+       "                                          Other White                                                 49.0   \n",
+       "                                          Other mixed                                                 42.0   \n",
+       "                                          Pakistani or British Pakistani                              56.0   \n",
+       "                                          Unknown                                                    140.0   \n",
+       "                                          White + Asian                                               35.0   \n",
+       "                                          White + Black African                                       42.0   \n",
+       "                                          White + Black Caribbean                                     42.0   \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                            147.0   \n",
+       "                                          2                                                          161.0   \n",
+       "                                          3                                                          154.0   \n",
+       "                                          4                                                          161.0   \n",
+       "                                          5 Least deprived                                           154.0   \n",
+       "                                          Unknown                                                     42.0   \n",
+       "BMI                                       30+                                                        238.0   \n",
+       "                                          under 30                                                   567.0   \n",
+       "Chronic cardiac disease                   no                                                         805.0   \n",
        "                                          yes                                                          7.0   \n",
-       "Current COPD                              no                                                        1190.0   \n",
+       "Current COPD                              no                                                         798.0   \n",
        "                                          yes                                                         14.0   \n",
-       "DMARDs                                    no                                                        1190.0   \n",
+       "DMARDs                                    no                                                         798.0   \n",
+       "                                          yes                                                          7.0   \n",
+       "SSRI (last 12 months)                     no                                                         798.0   \n",
        "                                          yes                                                          7.0   \n",
-       "SSRI (last 12 months)                     no                                                        1197.0   \n",
-       "                                          yes                                                         14.0   \n",
        "\n",
        "                                                                               Increase in coverage over last 7d (%)  \n",
        "Category                                  Group                                                                       \n",
-       "overall                                   overall                                                                8.9  \n",
-       "Sex                                       F                                                                      8.8  \n",
-       "                                          M                                                                      8.9  \n",
-       "Age band                                  16-29                                                                  8.6  \n",
-       "                                          30-39                                                                  8.7  \n",
-       "                                          40-49                                                                  8.6  \n",
-       "                                          50-59                                                                  7.9  \n",
-       "                                          60-69                                                                  9.4  \n",
-       "                                          70-79                                                                  9.6  \n",
-       "                                          80+                                                                    8.6  \n",
-       "Ethnicity (broad categories)              Black                                                                  9.1  \n",
-       "                                          Mixed                                                                  8.7  \n",
-       "                                          Other                                                                  7.8  \n",
-       "                                          South Asian                                                            8.9  \n",
-       "                                          Unknown                                                                9.7  \n",
-       "                                          White                                                                  9.1  \n",
-       "ethnicity 16 groups                        African                                                              10.4  \n",
-       "                                           Bangladeshi or British Bangladeshi                                    7.1  \n",
-       "                                           Caribbean                                                             7.4  \n",
-       "                                           Chinese                                                               8.6  \n",
-       "                                           Other                                                                 8.2  \n",
-       "                                           Other Asian                                                           9.3  \n",
-       "                                          British or Mixed British                                              11.1  \n",
-       "                                          Indian or British Indian                                               7.8  \n",
-       "                                          Irish                                                                  9.0  \n",
-       "                                          Other Black                                                            8.0  \n",
-       "                                          Other White                                                            8.9  \n",
-       "                                          Other mixed                                                            9.9  \n",
-       "                                          Pakistani or British Pakistani                                         8.7  \n",
-       "                                          Unknown                                                                9.2  \n",
-       "                                          White + Asian                                                          9.6  \n",
-       "                                          White + Black African                                                  8.1  \n",
-       "                                          White + Black Caribbean                                                9.7  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                        8.4  \n",
-       "                                          2                                                                      9.4  \n",
-       "                                          3                                                                      8.5  \n",
-       "                                          4                                                                      8.8  \n",
-       "                                          5 Least deprived                                                       9.5  \n",
-       "                                          Unknown                                                                8.6  \n",
-       "BMI                                       30+                                                                    8.9  \n",
-       "                                          under 30                                                               8.9  \n",
-       "Chronic cardiac disease                   no                                                                     8.9  \n",
-       "                                          yes                                                                    5.9  \n",
-       "Current COPD                              no                                                                     8.8  \n",
-       "                                          yes                                                                    9.5  \n",
-       "DMARDs                                    no                                                                     8.8  \n",
-       "                                          yes                                                                    4.8  \n",
-       "SSRI (last 12 months)                     no                                                                     8.9  \n",
-       "                                          yes                                                                   10.5  "
+       "overall                                   overall                                                                6.4  \n",
+       "Sex                                       F                                                                      6.2  \n",
+       "                                          M                                                                      6.7  \n",
+       "Age band                                  16-29                                                                  6.8  \n",
+       "                                          30-39                                                                  7.1  \n",
+       "                                          40-49                                                                  5.7  \n",
+       "                                          50-59                                                                  5.9  \n",
+       "                                          60-69                                                                  5.6  \n",
+       "                                          70-79                                                                  7.0  \n",
+       "                                          80+                                                                    6.6  \n",
+       "Ethnicity (broad categories)              Black                                                                  7.1  \n",
+       "                                          Mixed                                                                  5.5  \n",
+       "                                          Other                                                                  5.9  \n",
+       "                                          South Asian                                                            6.3  \n",
+       "                                          Unknown                                                                7.5  \n",
+       "                                          White                                                                  6.3  \n",
+       "ethnicity 16 groups                        African                                                               5.2  \n",
+       "                                           Bangladeshi or British Bangladeshi                                    7.8  \n",
+       "                                           Caribbean                                                             6.5  \n",
+       "                                           Chinese                                                               5.3  \n",
+       "                                           Other                                                                 6.1  \n",
+       "                                           Other Asian                                                           6.4  \n",
+       "                                          British or Mixed British                                               6.4  \n",
+       "                                          Indian or British Indian                                               7.4  \n",
+       "                                          Irish                                                                  5.8  \n",
+       "                                          Other Black                                                            6.1  \n",
+       "                                          Other White                                                            7.3  \n",
+       "                                          Other mixed                                                            6.5  \n",
+       "                                          Pakistani or British Pakistani                                         7.8  \n",
+       "                                          Unknown                                                                7.2  \n",
+       "                                          White + Asian                                                          5.2  \n",
+       "                                          White + Black African                                                  6.2  \n",
+       "                                          White + Black Caribbean                                                6.7  \n",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                        6.2  \n",
+       "                                          2                                                                      6.6  \n",
+       "                                          3                                                                      6.5  \n",
+       "                                          4                                                                      6.5  \n",
+       "                                          5 Least deprived                                                       6.4  \n",
+       "                                          Unknown                                                                6.9  \n",
+       "BMI                                       30+                                                                    6.2  \n",
+       "                                          under 30                                                               6.4  \n",
+       "Chronic cardiac disease                   no                                                                     6.4  \n",
+       "                                          yes                                                                    5.3  \n",
+       "Current COPD                              no                                                                     6.4  \n",
+       "                                          yes                                                                   11.1  \n",
+       "DMARDs                                    no                                                                     6.4  \n",
+       "                                          yes                                                                    5.3  \n",
+       "SSRI (last 12 months)                     no                                                                     6.4  \n",
+       "                                          yes                                                                    5.6  "
       ]
      },
      "metadata": {},
@@ -29426,7 +35966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -29478,38 +36018,43 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>2114</td>\n",
-       "      <td>85.8</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>85.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-79</th>\n",
-       "      <td>3514</td>\n",
-       "      <td>84.3</td>\n",
+       "      <td>3570</td>\n",
+       "      <td>84.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>care home</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>86.1</td>\n",
+       "      <td>1372</td>\n",
+       "      <td>84.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>shielding (aged 16-69)</th>\n",
-       "      <td>420</td>\n",
-       "      <td>85.0</td>\n",
+       "      <td>413</td>\n",
+       "      <td>83.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>2149</td>\n",
-       "      <td>84.0</td>\n",
+       "      <td>2191</td>\n",
+       "      <td>85.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>LD (aged 16-64)</th>\n",
-       "      <td>791</td>\n",
-       "      <td>84.1</td>\n",
+       "      <td>784</td>\n",
+       "      <td>86.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
-       "      <td>2576</td>\n",
-       "      <td>86.4</td>\n",
+       "      <td>2632</td>\n",
+       "      <td>85.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55-59</th>\n",
+       "      <td>3136</td>\n",
+       "      <td>85.5</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -29518,16 +36063,17 @@
       "text/plain": [
        "                        total population (n)  ethnicity coverage (%)\n",
        "group                                                               \n",
-       "80+                                     2114                    85.8\n",
-       "70-79                                   3514                    84.3\n",
-       "care home                               1414                    86.1\n",
-       "shielding (aged 16-69)                   420                    85.0\n",
-       "65-69                                   2149                    84.0\n",
-       "LD (aged 16-64)                          791                    84.1\n",
-       "60-64                                   2576                    86.4"
+       "80+                                     2121                    85.5\n",
+       "70-79                                   3570                    84.5\n",
+       "care home                               1372                    84.2\n",
+       "shielding (aged 16-69)                   413                    83.1\n",
+       "65-69                                   2191                    85.6\n",
+       "LD (aged 16-64)                          784                    86.6\n",
+       "60-64                                   2632                    85.1\n",
+       "55-59                                   3136                    85.5"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -29542,7 +36088,7 @@
     "                 \\n recorded in inpatients, outpatients or A&E over the last ~5 years (or latest if tied).\\\n",
     "                 \\n- Patient counts are rounded to the nearest 7\"))\n",
     "\n",
-    "tab[[\"total population (n)\",\"ethnicity coverage (%)\"]].drop(\"vaccinated under 60s, not in other eligible groups shown\")"
+    "tab[[\"total population (n)\",\"ethnicity coverage (%)\"]].drop(\"vaccinated under 55s, not in other eligible groups shown\")"
    ]
   }
  ],
diff --git a/notebooks/population_characteristics.ipynb b/notebooks/population_characteristics.ipynb
index 5426065..c6eb022 100644
--- a/notebooks/population_characteristics.ipynb
+++ b/notebooks/population_characteristics.ipynb
@@ -118,7 +118,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Latest Date: 05 Mar 2021\n"
+      "Latest Date: 30 Mar 2021\n"
      ]
     }
    ],
@@ -166,8 +166,9 @@
     "        \"shielding (aged 16-69)\":4, \n",
     "        \"65-69\": 5,  \n",
     "        \"LD (aged 16-64)\": 6,  \n",
-    "        \"60-64\": 7,                \n",
-    "        \"under 60s, not in other eligible groups shown\":0 \n",
+    "        \"60-64\": 7,\n",
+    "        \"55-59\": 8,\n",
+    "        \"under 55s, not in other eligible groups shown\":0 \n",
     "        # NB the key for the final group (0) must contain phrase \"not in other eligible groups\"\n",
     "        }\n",
     "\n",
@@ -179,8 +180,12 @@
     "                              \"bmi\", \"chronic_cardiac_disease\", \"current_copd\", \"dialysis\", \"dmards\", \"dementia\",\n",
     "                              \"psychosis_schiz_bipolar\",\"LD\",\"ssri\",\n",
     "                              \"chemo_or_radio\", \"lung_cancer\", \"cancer_excl_lung_and_haem\", \"haematological_cancer\"]\n",
+    "#for specific age bands remove features which are included elsehwere or not prevalent\n",
     "o65 = [d for d in DEFAULT if d not in (\"ageband_5yr\", \"dialysis\")]\n",
     "o60 = [d for d in DEFAULT if d not in (\"ageband_5yr\", \"dialysis\", \"LD\")]\n",
+    "o50 = [d for d in DEFAULT if d not in (\"ageband_5yr\", \"dialysis\", \"LD\", \"dementia\",\n",
+    "                                       \"chemo_or_radio\", \"lung_cancer\", \"cancer_excl_lung_and_haem\", \"haematological_cancer\"\n",
+    "                                      )]\n",
     "other = [\"sex\",\"ageband\", \"ethnicity_6_groups\", \"ethnicity_16_groups\",\"imd_categories\",\n",
     "                              \"bmi\",\"chronic_cardiac_disease\", \"current_copd\", \"dmards\",\"ssri\"]\n",
     "\n",
@@ -191,6 +196,7 @@
     "                                           \"LD\"],\n",
     "                 \"65-69\":    o65,\n",
     "                 \"60-64\":    o60,\n",
+    "                 \"55-59\":    o50,\n",
     "                 \"LD (aged 16-64)\":  [\"sex\", \"ageband_5yr\", \"ethnicity_6_groups\"],\n",
     "                 \"DEFAULT\":   DEFAULT # other age groups\n",
     "                }\n"
@@ -205,6 +211,21 @@
     "df_dict_cum = cumulative_sums(df, groups_of_interest=population_subgroups, features_dict=features_dict, latest_date=latest_date)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# for details on second doses, no need for breakdowns of any groups (only \"overall\" figures will be included)\n",
+    "second_dose_features = {}\n",
+    "for g in groups:\n",
+    "    second_dose_features[g] = []\n",
+    "\n",
+    "df_dict_cum_second_dose = cumulative_sums(df, groups_of_interest=population_subgroups, features_dict=second_dose_features, \n",
+    "                                          latest_date=latest_date, reference_column_name=\"covid_vacc_second_dose_date\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -214,7 +235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -223,12 +244,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -252,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -261,13 +282,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
     "summarised_data_dict = summarise_data_by_group(df_dict_cum, latest_date=latest_date, groups=groups)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summarised_data_dict_2nd_dose = summarise_data_by_group(df_dict_cum_second_dose, latest_date=latest_date, groups=groups)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -277,7 +307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -286,22 +316,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
-    "summ_stat_results = create_summary_stats(df, summarised_data_dict, formatted_latest_date, groups=groups, savepath=savepath, suffix=suffix)"
+    "summ_stat_results = create_summary_stats(df, summarised_data_dict, formatted_latest_date, groups=groups, \n",
+    "                                         savepath=savepath, suffix=suffix)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summ_stat_results_2nd_dose = create_summary_stats(df, summarised_data_dict_2nd_dose, formatted_latest_date, \n",
+    "                                                  groups=groups, savepath=savepath, \n",
+    "                                                  vaccine_type=\"second_dose\", suffix=suffix)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/markdown": [
-       "### As at 05 Mar 2021: "
+       "### As at 30 Mar 2021: "
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**Total** population receiving first dose in TPP: 19,999"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -313,7 +367,7 @@
     {
      "data": {
       "text/markdown": [
-       "**Total** population vaccinated in TPP: 19,999"
+       "**80+** population receiving first dose: 854 (**40.1%** of 2,121)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -325,7 +379,7 @@
     {
      "data": {
       "text/markdown": [
-       "**80+** population vaccinated: 882 (41.7% of 2,114)"
+       "**70-79** population receiving first dose: 1,414 (**39.5%** of 3,570)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -337,7 +391,7 @@
     {
      "data": {
       "text/markdown": [
-       "**70-79** population vaccinated: 1,421 (40.5% of 3,514)"
+       "**care home** population receiving first dose: 546 (**40.0%** of 1,372)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -349,7 +403,7 @@
     {
      "data": {
       "text/markdown": [
-       "**care home** population vaccinated: 532 (37.5% of 1,414)"
+       "**shielding (aged 16-69)** population receiving first dose: 154 (**37.0%** of 413)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -361,7 +415,7 @@
     {
      "data": {
       "text/markdown": [
-       "**shielding (aged 16-69)** population vaccinated: 161 (38.6% of 420)"
+       "**65-69** population receiving first dose: 903 (**41.1%** of 2,191)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -373,7 +427,7 @@
     {
      "data": {
       "text/markdown": [
-       "**65-69** population vaccinated: 868 (40.4% of 2,149)"
+       "**LD (aged 16-64)** population receiving first dose: 322 (**41.3%** of 784)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -385,7 +439,7 @@
     {
      "data": {
       "text/markdown": [
-       "**LD (aged 16-64)** population vaccinated: 315 (40.1% of 791)"
+       "**60-64** population receiving first dose: 1,043 (**39.7%** of 2,632)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -397,7 +451,7 @@
     {
      "data": {
       "text/markdown": [
-       "**60-64** population vaccinated: 1,008 (39.2% of 2,576)"
+       "**55-59** population receiving first dose: 1,302 (**41.5%** of 3,136)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -409,7 +463,7 @@
     {
      "data": {
       "text/markdown": [
-       "**under 60s, not in other eligible groups shown** population vaccinated: 14,812"
+       "**under 55s, not in other eligible groups shown** population receiving first dose: 13,468"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -445,7 +499,19 @@
     {
      "data": {
       "text/markdown": [
-       "Oxford-AZ vaccines (% of all first doses): 7 (0.0%)"
+       "Oxford-AZ vaccines (% of all first doses): 0 (0.0%)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "Moderna vaccines (% of all first doses): 7 (0.0%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -476,6 +542,180 @@
     "display(Markdown(f\"*\\n figures rounded to nearest 7\"))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       "## Second doses"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### As at 30 Mar 2021: "
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**Total** population receiving second dose in TPP: 4,998"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**80+** population receiving second dose: 217 (**10.1%** of 2,121)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**70-79** population receiving second dose: 343 (**9.6%** of 3,570)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**care home** population receiving second dose: 147 (**10.6%** of 1,372)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**shielding (aged 16-69)** population receiving second dose: 42 (**10.2%** of 413)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**65-69** population receiving second dose: 210 (**9.6%** of 2,191)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**LD (aged 16-64)** population receiving second dose: 84 (**10.3%** of 784)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**60-64** population receiving second dose: 294 (**11.2%** of 2,632)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**55-59** population receiving second dose: 315 (**10.0%** of 3,136)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**under 55s, not in other eligible groups shown** population receiving second dose: 3,353"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "*\n",
+       " figures rounded to nearest 7"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# display the results of the summary stats on second doses\n",
+    "\n",
+    "display(Markdown(f\"## Second doses\"))\n",
+    "\n",
+    "for x in summ_stat_results_2nd_dose.keys():\n",
+    "    display(Markdown(f\"{x}: {summ_stat_results_2nd_dose[x]}\"))\n",
+    "    \n",
+    "display(Markdown(f\"*\\n figures rounded to nearest 7\"))"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -485,7 +725,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -503,7 +743,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **80+** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **80+** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -569,158 +809,158 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>881</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>2114</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.1</td>\n",
-       "      <td>26-May</td>\n",
+       "      <td>851</td>\n",
+       "      <td>40.1</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>462</td>\n",
-       "      <td>41.8</td>\n",
+       "      <td>455</td>\n",
+       "      <td>41.1</td>\n",
        "      <td>1106</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>18-May</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>13-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>420</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>1008</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
-       "      <td>24-May</td>\n",
+       "      <td>399</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>1015</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
        "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14-May</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>56</td>\n",
        "      <td>44.4</td>\n",
        "      <td>126</td>\n",
        "      <td>38.9</td>\n",
        "      <td>5.5</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16-29</th>\n",
+       "      <th>0-15</th>\n",
        "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>147</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>13-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>30-34</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
+       "      <th>16-29</th>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>140</td>\n",
        "      <td>40</td>\n",
-       "      <td>5</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
+       "      <th>30-34</th>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
        "      <td>133</td>\n",
        "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35-39</th>\n",
+       "      <td>35</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>126</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>19-May</td>\n",
+       "      <td>42</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>119</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>02-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>5.6</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</th>\n",
        "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14-May</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>49</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>126</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
        "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14-May</td>\n",
+       "      <td>70</td>\n",
+       "      <td>52.6</td>\n",
+       "      <td>133</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>5.2</td>\n",
+       "      <td>19-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-74</th>\n",
-       "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
+       "      <td>63</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>38.1</td>\n",
        "      <td>4.8</td>\n",
-       "      <td>19-May</td>\n",
+       "      <td>06-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
        "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5</td>\n",
+       "      <td>08-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>45</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>56</td>\n",
+       "      <td>47.1</td>\n",
+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>19-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
@@ -734,437 +974,437 @@
        "    <tr>\n",
        "      <th>90+</th>\n",
        "      <td>63</td>\n",
-       "      <td>47.4</td>\n",
-       "      <td>133</td>\n",
-       "      <td>47.4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40</td>\n",
+       "      <td>5</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>154</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>371</td>\n",
-       "      <td>39.6</td>\n",
+       "      <td>140</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>385</td>\n",
+       "      <td>34.5</td>\n",
        "      <td>1.9</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>147</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>371</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>05-Jun</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>350</td>\n",
+       "      <td>36</td>\n",
+       "      <td>4</td>\n",
+       "      <td>25-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>161</td>\n",
-       "      <td>44.2</td>\n",
-       "      <td>364</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>140</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>357</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>147</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>357</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>31-May</td>\n",
+       "      <td>161</td>\n",
+       "      <td>41.8</td>\n",
+       "      <td>385</td>\n",
+       "      <td>40</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>133</td>\n",
-       "      <td>44.2</td>\n",
-       "      <td>301</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>4.7</td>\n",
-       "      <td>12-May</td>\n",
+       "      <td>119</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>308</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>09-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>36</td>\n",
-       "      <td>4</td>\n",
-       "      <td>31-May</td>\n",
+       "      <td>147</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>336</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>31-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
+       "      <td>42</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>42</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>14-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>112</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>25-Apr</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>63</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>53.3</td>\n",
-       "      <td>6.7</td>\n",
-       "      <td>05-Apr</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>26-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>26-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>8.4</td>\n",
-       "      <td>14-Apr</td>\n",
+       "      <td>49</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>26-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
        "      <td>133</td>\n",
        "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>25-Apr</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other Black</th>\n",
        "      <td>35</td>\n",
        "      <td>33.3</td>\n",
        "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>6.6</td>\n",
-       "      <td>04-May</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other White</th>\n",
-       "      <td>35</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>6.6</td>\n",
-       "      <td>04-May</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other mixed</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>29.4</td>\n",
-       "      <td>11.8</td>\n",
-       "      <td>02-Apr</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <th>Other Black</th>\n",
        "      <td>56</td>\n",
        "      <td>50.0</td>\n",
        "      <td>112</td>\n",
        "      <td>43.8</td>\n",
        "      <td>6.2</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>14-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
+       "      <th>Other White</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>133</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>315</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>01-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>105</td>\n",
        "      <td>40</td>\n",
-       "      <td>2.2</td>\n",
-       "      <td>04-Aug</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>35</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>98</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>7.1</td>\n",
+       "      <td>22-May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>119</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>294</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>10-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>112</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>25-Apr</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>42</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>119</td>\n",
-       "      <td>29.4</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>08-May</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>01-May</td>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
        "      <td>168</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>392</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>05-May</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>427</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>18-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>161</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>392</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>08-Jun</td>\n",
+       "      <td>168</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>399</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>175</td>\n",
-       "      <td>44.6</td>\n",
-       "      <td>392</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>03-Jun</td>\n",
+       "      <td>43.1</td>\n",
+       "      <td>406</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>04-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>168</td>\n",
        "      <td>42.1</td>\n",
        "      <td>399</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>03-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>161</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>399</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>09-May</td>\n",
+       "      <td>147</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>385</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>06-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
+       "      <td>28</td>\n",
+       "      <td>26.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>26.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>273</td>\n",
-       "      <td>43.3</td>\n",
-       "      <td>630</td>\n",
-       "      <td>40</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>12-Jun</td>\n",
+       "      <td>259</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>665</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>16-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>609</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>1484</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>4.2</td>\n",
-       "      <td>25-May</td>\n",
+       "      <td>595</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>1456</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>09-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.1</td>\n",
        "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>11-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>22-May</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dialysis</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>2086</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>50</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>22-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>10-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>22-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>10-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>16-Mar</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>2065</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4.1</td>\n",
-       "      <td>26-May</td>\n",
+       "      <td>826</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>37</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>07-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>28-Mar</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>22-May</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -1178,31 +1418,31 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>2107</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>06-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>16-Mar</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">lung_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>10-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -1216,38 +1456,38 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
-       "      <td>875</td>\n",
-       "      <td>41.8</td>\n",
+       "      <td>840</td>\n",
+       "      <td>40.1</td>\n",
        "      <td>2093</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>11-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>16-Mar</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>2086</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>4</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>847</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2100</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>10-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -1258,387 +1498,387 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                     881   \n",
-       "sex                       F                                           462   \n",
-       "                          M                                           420   \n",
+       "overall                   overall                                     851   \n",
+       "sex                       F                                           455   \n",
+       "                          M                                           399   \n",
        "ageband_5yr               0                                            56   \n",
        "                          0-15                                         56   \n",
        "                          16-29                                        56   \n",
-       "                          30-34                                        63   \n",
-       "                          35-39                                        56   \n",
-       "                          40-44                                        56   \n",
-       "                          45-49                                        49   \n",
+       "                          30-34                                        49   \n",
+       "                          35-39                                        35   \n",
+       "                          40-44                                        42   \n",
+       "                          45-49                                        56   \n",
        "                          50-54                                        56   \n",
-       "                          55-59                                        42   \n",
+       "                          55-59                                        49   \n",
        "                          60-64                                        49   \n",
-       "                          65-69                                        56   \n",
-       "                          70-74                                        56   \n",
+       "                          65-69                                        70   \n",
+       "                          70-74                                        63   \n",
        "                          75-79                                        56   \n",
-       "                          80-84                                        63   \n",
+       "                          80-84                                        56   \n",
        "                          85-89                                        49   \n",
        "                          90+                                          63   \n",
-       "ethnicity_6_groups        Black                                       154   \n",
-       "                          Mixed                                       147   \n",
-       "                          Other                                       161   \n",
-       "                          South Asian                                 147   \n",
-       "                          Unknown                                     133   \n",
-       "                          White                                       140   \n",
-       "ethnicity_16_groups        African                                     42   \n",
-       "                           Bangladeshi or British Bangladeshi          49   \n",
-       "                           Caribbean                                   56   \n",
-       "                           Chinese                                     49   \n",
-       "                           Other                                       63   \n",
-       "                           Other Asian                                 56   \n",
-       "                          British or Mixed British                     35   \n",
-       "                          Indian or British Indian                     56   \n",
-       "                          Irish                                        49   \n",
-       "                          Other Black                                  35   \n",
-       "                          Other White                                  35   \n",
-       "                          Other mixed                                  49   \n",
-       "                          Pakistani or British Pakistani               56   \n",
-       "                          Unknown                                     133   \n",
-       "                          White + Asian                                49   \n",
-       "                          White + Black African                        42   \n",
-       "                          White + Black Caribbean                      49   \n",
+       "ethnicity_6_groups        Black                                       140   \n",
+       "                          Mixed                                       140   \n",
+       "                          Other                                       140   \n",
+       "                          South Asian                                 161   \n",
+       "                          Unknown                                     119   \n",
+       "                          White                                       147   \n",
+       "ethnicity_16_groups        African                                     56   \n",
+       "                           Bangladeshi or British Bangladeshi          42   \n",
+       "                           Caribbean                                   42   \n",
+       "                           Chinese                                     42   \n",
+       "                           Other                                       49   \n",
+       "                           Other Asian                                 49   \n",
+       "                          British or Mixed British                     49   \n",
+       "                          Indian or British Indian                     49   \n",
+       "                          Irish                                        35   \n",
+       "                          Other Black                                  56   \n",
+       "                          Other White                                  56   \n",
+       "                          Other mixed                                  42   \n",
+       "                          Pakistani or British Pakistani               35   \n",
+       "                          Unknown                                     119   \n",
+       "                          White + Asian                                42   \n",
+       "                          White + Black African                        56   \n",
+       "                          White + Black Caribbean                      42   \n",
        "imd_categories            1 Most deprived                             168   \n",
-       "                          2                                           161   \n",
+       "                          2                                           168   \n",
        "                          3                                           175   \n",
        "                          4                                           168   \n",
-       "                          5 Least deprived                            161   \n",
-       "                          Unknown                                      49   \n",
-       "bmi                       30+                                         273   \n",
-       "                          under 30                                    609   \n",
-       "chronic_cardiac_disease   no                                          875   \n",
-       "                          yes                                           0   \n",
-       "current_copd              no                                          875   \n",
-       "                          yes                                           7   \n",
-       "dialysis                  no                                          868   \n",
-       "                          yes                                          14   \n",
-       "dmards                    no                                          875   \n",
-       "                          yes                                           7   \n",
-       "dementia                  no                                          875   \n",
+       "                          5 Least deprived                            147   \n",
+       "                          Unknown                                      28   \n",
+       "bmi                       30+                                         259   \n",
+       "                          under 30                                    595   \n",
+       "chronic_cardiac_disease   no                                          840   \n",
        "                          yes                                           7   \n",
-       "psychosis_schiz_bipolar   no                                          875   \n",
+       "current_copd              no                                          847   \n",
+       "                          yes                                           0   \n",
+       "dialysis                  no                                          840   \n",
        "                          yes                                           7   \n",
-       "LD                        no                                          861   \n",
+       "dmards                    no                                          847   \n",
+       "                          yes                                           0   \n",
+       "dementia                  no                                          847   \n",
+       "                          yes                                           0   \n",
+       "psychosis_schiz_bipolar   no                                          847   \n",
+       "                          yes                                           0   \n",
+       "LD                        no                                          826   \n",
        "                          yes                                          21   \n",
-       "ssri                      no                                          875   \n",
+       "ssri                      no                                          840   \n",
        "                          yes                                           7   \n",
-       "chemo_or_radio            no                                          875   \n",
-       "                          yes                                           7   \n",
-       "lung_cancer               no                                          875   \n",
+       "chemo_or_radio            no                                          847   \n",
+       "                          yes                                           0   \n",
+       "lung_cancer               no                                          847   \n",
        "                          yes                                           0   \n",
-       "cancer_excl_lung_and_haem no                                          875   \n",
+       "cancer_excl_lung_and_haem no                                          840   \n",
        "                          yes                                           7   \n",
-       "haematological_cancer     no                                          868   \n",
-       "                          yes                                          14   \n",
+       "haematological_cancer     no                                          847   \n",
+       "                          yes                                           0   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 41.7   2114   \n",
-       "sex                       F                                       41.8   1106   \n",
-       "                          M                                       41.7   1008   \n",
-       "ageband_5yr               0                                       40.0    140   \n",
-       "                          0-15                                    44.4    126   \n",
-       "                          16-29                                   44.4    126   \n",
-       "                          30-34                                   45.0    140   \n",
-       "                          35-39                                   42.1    133   \n",
-       "                          40-44                                   38.1    147   \n",
-       "                          45-49                                   38.9    126   \n",
-       "                          50-54                                   40.0    140   \n",
-       "                          55-59                                   37.5    112   \n",
-       "                          60-64                                   43.8    112   \n",
-       "                          65-69                                   40.0    140   \n",
-       "                          70-74                                   38.1    147   \n",
-       "                          75-79                                   44.4    126   \n",
-       "                          80-84                                   45.0    140   \n",
+       "overall                   overall                                 40.1   2121   \n",
+       "sex                       F                                       41.1   1106   \n",
+       "                          M                                       39.3   1015   \n",
+       "ageband_5yr               0                                       44.4    126   \n",
+       "                          0-15                                    38.1    147   \n",
+       "                          16-29                                   40.0    140   \n",
+       "                          30-34                                   36.8    133   \n",
+       "                          35-39                                   27.8    126   \n",
+       "                          40-44                                   35.3    119   \n",
+       "                          45-49                                   44.4    126   \n",
+       "                          50-54                                   42.1    133   \n",
+       "                          55-59                                   38.9    126   \n",
+       "                          60-64                                   35.0    140   \n",
+       "                          65-69                                   52.6    133   \n",
+       "                          70-74                                   42.9    147   \n",
+       "                          75-79                                   40.0    140   \n",
+       "                          80-84                                   47.1    119   \n",
        "                          85-89                                   38.9    126   \n",
-       "                          90+                                     47.4    133   \n",
-       "ethnicity_6_groups        Black                                   41.5    371   \n",
-       "                          Mixed                                   39.6    371   \n",
-       "                          Other                                   44.2    364   \n",
-       "                          South Asian                             41.2    357   \n",
-       "                          Unknown                                 44.2    301   \n",
-       "                          White                                   40.0    350   \n",
-       "ethnicity_16_groups        African                                40.0    105   \n",
-       "                           Bangladeshi or British Bangladeshi     38.9    126   \n",
-       "                           Caribbean                              50.0    112   \n",
-       "                           Chinese                                43.8    112   \n",
-       "                           Other                                  60.0    105   \n",
-       "                           Other Asian                            50.0    112   \n",
-       "                          British or Mixed British                41.7     84   \n",
-       "                          Indian or British Indian                42.1    133   \n",
-       "                          Irish                                   43.8    112   \n",
-       "                          Other Black                             33.3    105   \n",
-       "                          Other White                             33.3    105   \n",
-       "                          Other mixed                             41.2    119   \n",
-       "                          Pakistani or British Pakistani          50.0    112   \n",
-       "                          Unknown                                 42.2    315   \n",
-       "                          White + Asian                           43.8    112   \n",
-       "                          White + Black African                   35.3    119   \n",
-       "                          White + Black Caribbean                 41.2    119   \n",
-       "imd_categories            1 Most deprived                         42.9    392   \n",
-       "                          2                                       41.1    392   \n",
-       "                          3                                       44.6    392   \n",
+       "                          90+                                     45.0    140   \n",
+       "ethnicity_6_groups        Black                                   36.4    385   \n",
+       "                          Mixed                                   40.0    350   \n",
+       "                          Other                                   39.2    357   \n",
+       "                          South Asian                             41.8    385   \n",
+       "                          Unknown                                 38.6    308   \n",
+       "                          White                                   43.8    336   \n",
+       "ethnicity_16_groups        African                                44.4    126   \n",
+       "                           Bangladeshi or British Bangladeshi     42.9     98   \n",
+       "                           Caribbean                              42.9     98   \n",
+       "                           Chinese                                37.5    112   \n",
+       "                           Other                                  41.2    119   \n",
+       "                           Other Asian                            41.2    119   \n",
+       "                          British or Mixed British                41.2    119   \n",
+       "                          Indian or British Indian                36.8    133   \n",
+       "                          Irish                                   33.3    105   \n",
+       "                          Other Black                             50.0    112   \n",
+       "                          Other White                             42.1    133   \n",
+       "                          Other mixed                             40.0    105   \n",
+       "                          Pakistani or British Pakistani          35.7     98   \n",
+       "                          Unknown                                 40.5    294   \n",
+       "                          White + Asian                           37.5    112   \n",
+       "                          White + Black African                   44.4    126   \n",
+       "                          White + Black Caribbean                 40.0    105   \n",
+       "imd_categories            1 Most deprived                         39.3    427   \n",
+       "                          2                                       42.1    399   \n",
+       "                          3                                       43.1    406   \n",
        "                          4                                       42.1    399   \n",
-       "                          5 Least deprived                        40.4    399   \n",
-       "                          Unknown                                 36.8    133   \n",
-       "bmi                       30+                                     43.3    630   \n",
-       "                          under 30                                41.0   1484   \n",
-       "chronic_cardiac_disease   no                                      41.8   2093   \n",
+       "                          5 Least deprived                        38.2    385   \n",
+       "                          Unknown                                 26.7    105   \n",
+       "bmi                       30+                                     38.9    665   \n",
+       "                          under 30                                40.9   1456   \n",
+       "chronic_cardiac_disease   no                                      40.1   2093   \n",
+       "                          yes                                     25.0     28   \n",
+       "current_copd              no                                      40.2   2107   \n",
        "                          yes                                      0.0     14   \n",
-       "current_copd              no                                      41.8   2093   \n",
-       "                          yes                                     33.3     21   \n",
-       "dialysis                  no                                      41.6   2086   \n",
-       "                          yes                                     50.0     28   \n",
-       "dmards                    no                                      41.8   2093   \n",
-       "                          yes                                     50.0     14   \n",
-       "dementia                  no                                      41.8   2093   \n",
-       "                          yes                                     50.0     14   \n",
-       "psychosis_schiz_bipolar   no                                      41.8   2093   \n",
-       "                          yes                                     33.3     21   \n",
-       "LD                        no                                      41.7   2065   \n",
-       "                          yes                                     42.9     49   \n",
-       "ssri                      no                                      41.8   2093   \n",
+       "dialysis                  no                                      40.0   2100   \n",
        "                          yes                                     33.3     21   \n",
-       "chemo_or_radio            no                                      41.8   2093   \n",
-       "                          yes                                     33.3     21   \n",
-       "lung_cancer               no                                      41.8   2093   \n",
+       "dmards                    no                                      40.3   2100   \n",
+       "                          yes                                      0.0     21   \n",
+       "dementia                  no                                      40.3   2100   \n",
        "                          yes                                      0.0     21   \n",
-       "cancer_excl_lung_and_haem no                                      41.8   2093   \n",
+       "psychosis_schiz_bipolar   no                                      40.2   2107   \n",
+       "                          yes                                      0.0     14   \n",
+       "LD                        no                                      39.7   2079   \n",
+       "                          yes                                     50.0     42   \n",
+       "ssri                      no                                      40.0   2100   \n",
        "                          yes                                     33.3     21   \n",
-       "haematological_cancer     no                                      41.6   2086   \n",
-       "                          yes                                     66.7     21   \n",
+       "chemo_or_radio            no                                      40.2   2107   \n",
+       "                          yes                                      0.0     14   \n",
+       "lung_cancer               no                                      40.3   2100   \n",
+       "                          yes                                      0.0     21   \n",
+       "cancer_excl_lung_and_haem no                                      40.1   2093   \n",
+       "                          yes                                     25.0     28   \n",
+       "haematological_cancer     no                                      40.3   2100   \n",
+       "                          yes                                      0.0     21   \n",
        "\n",
        "                                                              vaccinated 7d previous (percent)  \\\n",
        "category                  group                                                                  \n",
-       "overall                   overall                                                         37.6   \n",
-       "sex                       F                                                               37.3   \n",
-       "                          M                                                               37.5   \n",
-       "ageband_5yr               0                                                                 35   \n",
-       "                          0-15                                                            38.9   \n",
-       "                          16-29                                                           38.9   \n",
-       "                          30-34                                                             40   \n",
-       "                          35-39                                                           36.8   \n",
-       "                          40-44                                                           33.3   \n",
-       "                          45-49                                                           33.3   \n",
-       "                          50-54                                                             35   \n",
-       "                          55-59                                                           37.5   \n",
-       "                          60-64                                                           43.8   \n",
-       "                          65-69                                                             35   \n",
-       "                          70-74                                                           33.3   \n",
-       "                          75-79                                                           38.9   \n",
-       "                          80-84                                                             45   \n",
+       "overall                   overall                                                         37.4   \n",
+       "sex                       F                                                               38.6   \n",
+       "                          M                                                               36.6   \n",
+       "ageband_5yr               0                                                               38.9   \n",
+       "                          0-15                                                            33.3   \n",
+       "                          16-29                                                             40   \n",
+       "                          30-34                                                           36.8   \n",
+       "                          35-39                                                           27.8   \n",
+       "                          40-44                                                           29.4   \n",
+       "                          45-49                                                           44.4   \n",
+       "                          50-54                                                           42.1   \n",
+       "                          55-59                                                           33.3   \n",
+       "                          60-64                                                             35   \n",
+       "                          65-69                                                           47.4   \n",
+       "                          70-74                                                           38.1   \n",
+       "                          75-79                                                             35   \n",
+       "                          80-84                                                           41.2   \n",
        "                          85-89                                                           38.9   \n",
-       "                          90+                                                             47.4   \n",
-       "ethnicity_6_groups        Black                                                           39.6   \n",
-       "                          Mixed                                                           35.8   \n",
-       "                          Other                                                           40.4   \n",
-       "                          South Asian                                                     37.3   \n",
-       "                          Unknown                                                         39.5   \n",
-       "                          White                                                             36   \n",
-       "ethnicity_16_groups        African                                                          40   \n",
-       "                           Bangladeshi or British Bangladeshi                             38.9   \n",
-       "                           Caribbean                                                      43.8   \n",
+       "                          90+                                                               40   \n",
+       "ethnicity_6_groups        Black                                                           34.5   \n",
+       "                          Mixed                                                             36   \n",
+       "                          Other                                                           37.3   \n",
+       "                          South Asian                                                       40   \n",
+       "                          Unknown                                                         36.4   \n",
+       "                          White                                                           41.7   \n",
+       "ethnicity_16_groups        African                                                        38.9   \n",
+       "                           Bangladeshi or British Bangladeshi                             42.9   \n",
+       "                           Caribbean                                                      35.7   \n",
        "                           Chinese                                                        37.5   \n",
-       "                           Other                                                          53.3   \n",
-       "                           Other Asian                                                    43.8   \n",
-       "                          British or Mixed British                                        33.3   \n",
+       "                           Other                                                          35.3   \n",
+       "                           Other Asian                                                    35.3   \n",
+       "                          British or Mixed British                                        35.3   \n",
        "                          Indian or British Indian                                        36.8   \n",
-       "                          Irish                                                           37.5   \n",
-       "                          Other Black                                                     26.7   \n",
-       "                          Other White                                                     26.7   \n",
-       "                          Other mixed                                                     29.4   \n",
-       "                          Pakistani or British Pakistani                                  43.8   \n",
-       "                          Unknown                                                           40   \n",
+       "                          Irish                                                           33.3   \n",
+       "                          Other Black                                                     43.8   \n",
+       "                          Other White                                                     36.8   \n",
+       "                          Other mixed                                                       40   \n",
+       "                          Pakistani or British Pakistani                                  28.6   \n",
+       "                          Unknown                                                         35.7   \n",
        "                          White + Asian                                                   37.5   \n",
-       "                          White + Black African                                           29.4   \n",
-       "                          White + Black Caribbean                                         35.3   \n",
-       "imd_categories            1 Most deprived                                                 37.5   \n",
-       "                          2                                                               37.5   \n",
-       "                          3                                                               41.1   \n",
-       "                          4                                                               36.8   \n",
-       "                          5 Least deprived                                                35.1   \n",
-       "                          Unknown                                                         36.8   \n",
-       "bmi                       30+                                                               40   \n",
-       "                          under 30                                                        36.8   \n",
-       "chronic_cardiac_disease   no                                                              37.8   \n",
-       "                          yes                                                                0   \n",
+       "                          White + Black African                                           44.4   \n",
+       "                          White + Black Caribbean                                           40   \n",
+       "imd_categories            1 Most deprived                                                 36.1   \n",
+       "                          2                                                               40.4   \n",
+       "                          3                                                               39.7   \n",
+       "                          4                                                               38.6   \n",
+       "                          5 Least deprived                                                34.5   \n",
+       "                          Unknown                                                         26.7   \n",
+       "bmi                       30+                                                             36.8   \n",
+       "                          under 30                                                        37.5   \n",
+       "chronic_cardiac_disease   no                                                              37.5   \n",
+       "                          yes                                                               25   \n",
        "current_copd              no                                                              37.5   \n",
+       "                          yes                                                                0   \n",
+       "dialysis                  no                                                              37.3   \n",
        "                          yes                                                             33.3   \n",
-       "dialysis                  no                                                              37.6   \n",
-       "                          yes                                                               50   \n",
-       "dmards                    no                                                              37.5   \n",
-       "                          yes                                                               50   \n",
-       "dementia                  no                                                              37.5   \n",
-       "                          yes                                                               50   \n",
-       "psychosis_schiz_bipolar   no                                                              37.8   \n",
+       "dmards                    no                                                              37.7   \n",
        "                          yes                                                                0   \n",
-       "LD                        no                                                              37.6   \n",
-       "                          yes                                                             28.6   \n",
-       "ssri                      no                                                              37.5   \n",
+       "dementia                  no                                                              37.7   \n",
+       "                          yes                                                                0   \n",
+       "psychosis_schiz_bipolar   no                                                              37.5   \n",
+       "                          yes                                                                0   \n",
+       "LD                        no                                                                37   \n",
+       "                          yes                                                               50   \n",
+       "ssri                      no                                                              37.3   \n",
        "                          yes                                                             33.3   \n",
-       "chemo_or_radio            no                                                              37.8   \n",
+       "chemo_or_radio            no                                                              37.5   \n",
        "                          yes                                                                0   \n",
-       "lung_cancer               no                                                              37.8   \n",
+       "lung_cancer               no                                                              37.7   \n",
        "                          yes                                                                0   \n",
-       "cancer_excl_lung_and_haem no                                                              37.8   \n",
+       "cancer_excl_lung_and_haem no                                                              37.5   \n",
+       "                          yes                                                               25   \n",
+       "haematological_cancer     no                                                              37.7   \n",
        "                          yes                                                                0   \n",
-       "haematological_cancer     no                                                              37.6   \n",
-       "                          yes                                                             66.7   \n",
        "\n",
        "                                                              Uptake over last 7d (percent)  \\\n",
        "category                  group                                                               \n",
-       "overall                   overall                                                       4.1   \n",
-       "sex                       F                                                             4.5   \n",
-       "                          M                                                             4.2   \n",
-       "ageband_5yr               0                                                               5   \n",
-       "                          0-15                                                          5.5   \n",
-       "                          16-29                                                         5.5   \n",
-       "                          30-34                                                           5   \n",
-       "                          35-39                                                         5.3   \n",
-       "                          40-44                                                         4.8   \n",
-       "                          45-49                                                         5.6   \n",
-       "                          50-54                                                           5   \n",
-       "                          55-59                                                           0   \n",
+       "overall                   overall                                                       2.7   \n",
+       "sex                       F                                                             2.5   \n",
+       "                          M                                                             2.7   \n",
+       "ageband_5yr               0                                                             5.5   \n",
+       "                          0-15                                                          4.8   \n",
+       "                          16-29                                                           0   \n",
+       "                          30-34                                                           0   \n",
+       "                          35-39                                                           0   \n",
+       "                          40-44                                                         5.9   \n",
+       "                          45-49                                                           0   \n",
+       "                          50-54                                                           0   \n",
+       "                          55-59                                                         5.6   \n",
        "                          60-64                                                           0   \n",
-       "                          65-69                                                           5   \n",
+       "                          65-69                                                         5.2   \n",
        "                          70-74                                                         4.8   \n",
-       "                          75-79                                                         5.5   \n",
-       "                          80-84                                                           0   \n",
+       "                          75-79                                                           5   \n",
+       "                          80-84                                                         5.9   \n",
        "                          85-89                                                           0   \n",
-       "                          90+                                                             0   \n",
+       "                          90+                                                             5   \n",
        "ethnicity_6_groups        Black                                                         1.9   \n",
-       "                          Mixed                                                         3.8   \n",
-       "                          Other                                                         3.8   \n",
-       "                          South Asian                                                   3.9   \n",
-       "                          Unknown                                                       4.7   \n",
-       "                          White                                                           4   \n",
-       "ethnicity_16_groups        African                                                        0   \n",
-       "                           Bangladeshi or British Bangladeshi                             0   \n",
-       "                           Caribbean                                                    6.2   \n",
-       "                           Chinese                                                      6.3   \n",
-       "                           Other                                                        6.7   \n",
-       "                           Other Asian                                                  6.2   \n",
-       "                          British or Mixed British                                      8.4   \n",
-       "                          Indian or British Indian                                      5.3   \n",
-       "                          Irish                                                         6.3   \n",
-       "                          Other Black                                                   6.6   \n",
-       "                          Other White                                                   6.6   \n",
-       "                          Other mixed                                                  11.8   \n",
-       "                          Pakistani or British Pakistani                                6.2   \n",
+       "                          Mixed                                                           4   \n",
+       "                          Other                                                         1.9   \n",
+       "                          South Asian                                                   1.8   \n",
        "                          Unknown                                                       2.2   \n",
-       "                          White + Asian                                                 6.3   \n",
-       "                          White + Black African                                         5.9   \n",
-       "                          White + Black Caribbean                                       5.9   \n",
-       "imd_categories            1 Most deprived                                               5.4   \n",
-       "                          2                                                             3.6   \n",
-       "                          3                                                             3.5   \n",
-       "                          4                                                             5.3   \n",
-       "                          5 Least deprived                                              5.3   \n",
+       "                          White                                                         2.1   \n",
+       "ethnicity_16_groups        African                                                      5.5   \n",
+       "                           Bangladeshi or British Bangladeshi                             0   \n",
+       "                           Caribbean                                                    7.2   \n",
+       "                           Chinese                                                        0   \n",
+       "                           Other                                                        5.9   \n",
+       "                           Other Asian                                                  5.9   \n",
+       "                          British or Mixed British                                      5.9   \n",
+       "                          Indian or British Indian                                        0   \n",
+       "                          Irish                                                           0   \n",
+       "                          Other Black                                                   6.2   \n",
+       "                          Other White                                                   5.3   \n",
+       "                          Other mixed                                                     0   \n",
+       "                          Pakistani or British Pakistani                                7.1   \n",
+       "                          Unknown                                                       4.8   \n",
+       "                          White + Asian                                                   0   \n",
+       "                          White + Black African                                           0   \n",
+       "                          White + Black Caribbean                                         0   \n",
+       "imd_categories            1 Most deprived                                               3.2   \n",
+       "                          2                                                             1.7   \n",
+       "                          3                                                             3.4   \n",
+       "                          4                                                             3.5   \n",
+       "                          5 Least deprived                                              3.7   \n",
        "                          Unknown                                                         0   \n",
-       "bmi                       30+                                                           3.3   \n",
-       "                          under 30                                                      4.2   \n",
-       "chronic_cardiac_disease   no                                                              4   \n",
+       "bmi                       30+                                                           2.1   \n",
+       "                          under 30                                                      3.4   \n",
+       "chronic_cardiac_disease   no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "current_copd              no                                                            4.3   \n",
+       "current_copd              no                                                            2.7   \n",
        "                          yes                                                             0   \n",
-       "dialysis                  no                                                              4   \n",
+       "dialysis                  no                                                            2.7   \n",
        "                          yes                                                             0   \n",
-       "dmards                    no                                                            4.3   \n",
+       "dmards                    no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "dementia                  no                                                            4.3   \n",
+       "dementia                  no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                              4   \n",
-       "                          yes                                                          33.3   \n",
-       "LD                        no                                                            4.1   \n",
-       "                          yes                                                          14.3   \n",
-       "ssri                      no                                                            4.3   \n",
+       "psychosis_schiz_bipolar   no                                                            2.7   \n",
        "                          yes                                                             0   \n",
-       "chemo_or_radio            no                                                              4   \n",
-       "                          yes                                                          33.3   \n",
-       "lung_cancer               no                                                              4   \n",
+       "LD                        no                                                            2.7   \n",
        "                          yes                                                             0   \n",
-       "cancer_excl_lung_and_haem no                                                              4   \n",
-       "                          yes                                                          33.3   \n",
-       "haematological_cancer     no                                                              4   \n",
+       "ssri                      no                                                            2.7   \n",
+       "                          yes                                                             0   \n",
+       "chemo_or_radio            no                                                            2.7   \n",
+       "                          yes                                                             0   \n",
+       "lung_cancer               no                                                            2.6   \n",
+       "                          yes                                                             0   \n",
+       "cancer_excl_lung_and_haem no                                                            2.6   \n",
+       "                          yes                                                             0   \n",
+       "haematological_cancer     no                                                            2.6   \n",
        "                          yes                                                             0   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  26-May  \n",
-       "sex                       F                                                        18-May  \n",
-       "                          M                                                        24-May  \n",
-       "ageband_5yr               0                                                        14-May  \n",
-       "                          0-15                                                     02-May  \n",
-       "                          16-29                                                    02-May  \n",
-       "                          30-34                                                    07-May  \n",
-       "                          35-39                                                    07-May  \n",
-       "                          40-44                                                    19-May  \n",
-       "                          45-49                                                    07-May  \n",
-       "                          50-54                                                    14-May  \n",
-       "                          55-59                                                   unknown  \n",
+       "overall                   overall                                                  06-Aug  \n",
+       "sex                       F                                                        13-Aug  \n",
+       "                          M                                                        08-Aug  \n",
+       "ageband_5yr               0                                                        27-May  \n",
+       "                          0-15                                                     13-Jun  \n",
+       "                          16-29                                                   unknown  \n",
+       "                          30-34                                                   unknown  \n",
+       "                          35-39                                                   unknown  \n",
+       "                          40-44                                                    02-Jun  \n",
+       "                          45-49                                                   unknown  \n",
+       "                          50-54                                                   unknown  \n",
+       "                          55-59                                                    01-Jun  \n",
        "                          60-64                                                   unknown  \n",
-       "                          65-69                                                    14-May  \n",
-       "                          70-74                                                    19-May  \n",
-       "                          75-79                                                    02-May  \n",
-       "                          80-84                                                   unknown  \n",
+       "                          65-69                                                    19-May  \n",
+       "                          70-74                                                    06-Jun  \n",
+       "                          75-79                                                    08-Jun  \n",
+       "                          80-84                                                    19-May  \n",
        "                          85-89                                                   unknown  \n",
-       "                          90+                                                     unknown  \n",
+       "                          90+                                                      01-Jun  \n",
        "ethnicity_6_groups        Black                                                   unknown  \n",
-       "                          Mixed                                                    05-Jun  \n",
-       "                          Other                                                    28-May  \n",
-       "                          South Asian                                              31-May  \n",
-       "                          Unknown                                                  12-May  \n",
-       "                          White                                                    31-May  \n",
-       "ethnicity_16_groups        African                                                unknown  \n",
+       "                          Mixed                                                    25-Jun  \n",
+       "                          Other                                                   unknown  \n",
+       "                          South Asian                                             unknown  \n",
+       "                          Unknown                                                  09-Sep  \n",
+       "                          White                                                    31-Aug  \n",
+       "ethnicity_16_groups        African                                                 27-May  \n",
        "                           Bangladeshi or British Bangladeshi                     unknown  \n",
-       "                           Caribbean                                               19-Apr  \n",
-       "                           Chinese                                                 25-Apr  \n",
-       "                           Other                                                   05-Apr  \n",
-       "                           Other Asian                                             19-Apr  \n",
-       "                          British or Mixed British                                 14-Apr  \n",
-       "                          Indian or British Indian                                 07-May  \n",
-       "                          Irish                                                    25-Apr  \n",
-       "                          Other Black                                              04-May  \n",
-       "                          Other White                                              04-May  \n",
-       "                          Other mixed                                              02-Apr  \n",
-       "                          Pakistani or British Pakistani                           19-Apr  \n",
-       "                          Unknown                                                  04-Aug  \n",
-       "                          White + Asian                                            25-Apr  \n",
-       "                          White + Black African                                    08-May  \n",
-       "                          White + Black Caribbean                                  01-May  \n",
-       "imd_categories            1 Most deprived                                          05-May  \n",
-       "                          2                                                        08-Jun  \n",
-       "                          3                                                        03-Jun  \n",
-       "                          4                                                        07-May  \n",
-       "                          5 Least deprived                                         09-May  \n",
+       "                           Caribbean                                               14-May  \n",
+       "                           Chinese                                                unknown  \n",
+       "                           Other                                                   26-May  \n",
+       "                           Other Asian                                             26-May  \n",
+       "                          British or Mixed British                                 26-May  \n",
+       "                          Indian or British Indian                                unknown  \n",
+       "                          Irish                                                   unknown  \n",
+       "                          Other Black                                              14-May  \n",
+       "                          Other White                                              01-Jun  \n",
+       "                          Other mixed                                             unknown  \n",
+       "                          Pakistani or British Pakistani                           22-May  \n",
+       "                          Unknown                                                  10-Jun  \n",
+       "                          White + Asian                                           unknown  \n",
+       "                          White + Black African                                   unknown  \n",
+       "                          White + Black Caribbean                                 unknown  \n",
+       "imd_categories            1 Most deprived                                          18-Jul  \n",
+       "                          2                                                       unknown  \n",
+       "                          3                                                        04-Jul  \n",
+       "                          4                                                        03-Jul  \n",
+       "                          5 Least deprived                                         06-Jul  \n",
        "                          Unknown                                                 unknown  \n",
-       "bmi                       30+                                                      12-Jun  \n",
-       "                          under 30                                                 25-May  \n",
-       "chronic_cardiac_disease   no                                                       28-May  \n",
+       "bmi                       30+                                                      16-Sep  \n",
+       "                          under 30                                                 09-Jul  \n",
+       "chronic_cardiac_disease   no                                                       11-Aug  \n",
+       "                          yes                                                     unknown  \n",
+       "current_copd              no                                                       06-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       22-May  \n",
+       "dialysis                  no                                                       06-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dialysis                  no                                                       28-May  \n",
+       "dmards                    no                                                       10-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       22-May  \n",
+       "dementia                  no                                                       10-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dementia                  no                                                       22-May  \n",
+       "psychosis_schiz_bipolar   no                                                       06-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       28-May  \n",
-       "                          yes                                                      16-Mar  \n",
-       "LD                        no                                                       26-May  \n",
-       "                          yes                                                      28-Mar  \n",
-       "ssri                      no                                                       22-May  \n",
+       "LD                        no                                                       07-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       28-May  \n",
-       "                          yes                                                      16-Mar  \n",
-       "lung_cancer               no                                                       28-May  \n",
+       "ssri                      no                                                       06-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "cancer_excl_lung_and_haem no                                                       28-May  \n",
-       "                          yes                                                      16-Mar  \n",
-       "haematological_cancer     no                                                       28-May  \n",
+       "chemo_or_radio            no                                                       06-Aug  \n",
+       "                          yes                                                     unknown  \n",
+       "lung_cancer               no                                                       10-Aug  \n",
+       "                          yes                                                     unknown  \n",
+       "cancer_excl_lung_and_haem no                                                       11-Aug  \n",
+       "                          yes                                                     unknown  \n",
+       "haematological_cancer     no                                                       10-Aug  \n",
        "                          yes                                                     unknown  "
       ]
      },
@@ -1660,7 +1900,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **70-79** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **70-79** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -1726,158 +1966,158 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>1422</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3514</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>14-Jun</td>\n",
+       "      <td>1411</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3570</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
        "      <td>714</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1778</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.8</td>\n",
-       "      <td>07-Jul</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1785</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>22-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>707</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>1736</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>4</td>\n",
-       "      <td>30-May</td>\n",
+       "      <td>693</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>1778</td>\n",
+       "      <td>37</td>\n",
+       "      <td>2</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
-       "      <td>77</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>217</td>\n",
-       "      <td>32.3</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>02-Jul</td>\n",
+       "      <td>84</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>224</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0-15</th>\n",
-       "      <td>77</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>203</td>\n",
-       "      <td>31</td>\n",
-       "      <td>6.9</td>\n",
-       "      <td>26-Apr</td>\n",
+       "      <td>91</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>245</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>17-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-34</th>\n",
        "      <td>91</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>224</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>24-Jun</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>245</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35-39</th>\n",
-       "      <td>91</td>\n",
-       "      <td>41.9</td>\n",
-       "      <td>217</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>18-Jun</td>\n",
-       "    </tr>\n",
+       "      <td>84</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>29-Jul</td>\n",
+       "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
+       "      <td>105</td>\n",
+       "      <td>44.1</td>\n",
        "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>44.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
-       "      <td>77</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>203</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>20-Jun</td>\n",
+       "      <td>70</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>196</td>\n",
+       "      <td>32.1</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>13-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</th>\n",
        "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>238</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>45.2</td>\n",
+       "      <td>217</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>03-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>91</td>\n",
-       "      <td>44.8</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
        "      <td>203</td>\n",
        "      <td>41.4</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>06-Jun</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
-       "      <td>70</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>182</td>\n",
-       "      <td>34.6</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>05-Jun</td>\n",
+       "      <td>91</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>224</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
        "      <td>91</td>\n",
-       "      <td>41.9</td>\n",
-       "      <td>217</td>\n",
-       "      <td>41.9</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>39.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-74</th>\n",
-       "      <td>105</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>245</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>5.8</td>\n",
-       "      <td>30-Apr</td>\n",
+       "      <td>84</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>224</td>\n",
+       "      <td>34.4</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
-       "      <td>77</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>224</td>\n",
-       "      <td>31.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>217</td>\n",
+       "      <td>38.7</td>\n",
        "      <td>3.2</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>13-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>77</td>\n",
-       "      <td>36.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>210</td>\n",
        "      <td>36.7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>14-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
@@ -1886,335 +2126,335 @@
        "      <td>231</td>\n",
        "      <td>39.4</td>\n",
        "      <td>3</td>\n",
-       "      <td>24-Jun</td>\n",
+       "      <td>19-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90+</th>\n",
-       "      <td>91</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>224</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>24-Jun</td>\n",
+       "      <td>77</td>\n",
+       "      <td>35.5</td>\n",
+       "      <td>217</td>\n",
+       "      <td>35.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>238</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>588</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>09-Jun</td>\n",
+       "      <td>224</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>574</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>252</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>609</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>4.6</td>\n",
-       "      <td>17-May</td>\n",
+       "      <td>231</td>\n",
+       "      <td>36.3</td>\n",
+       "      <td>637</td>\n",
+       "      <td>34.1</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>16-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>224</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>581</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>26-Jul</td>\n",
+       "      <td>245</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>609</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>1.1</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>238</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>588</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>2.4</td>\n",
-       "      <td>27-Jul</td>\n",
+       "      <td>252</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>623</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>13-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>224</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>553</td>\n",
-       "      <td>38</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>21-Jul</td>\n",
+       "      <td>217</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>546</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
        "      <td>245</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>588</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>14-May</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>581</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>30-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>77</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>189</td>\n",
-       "      <td>37</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>06-Jun</td>\n",
+       "      <td>63</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>182</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>91</td>\n",
-       "      <td>46.4</td>\n",
-       "      <td>196</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>31-May</td>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>18-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>161</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>26-May</td>\n",
+       "      <td>77</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>25-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>63</td>\n",
-       "      <td>34.6</td>\n",
-       "      <td>182</td>\n",
-       "      <td>30.8</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>70</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36</td>\n",
+       "      <td>4</td>\n",
+       "      <td>25-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>70</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>154</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>4.6</td>\n",
-       "      <td>11-May</td>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>40</td>\n",
+       "      <td>4</td>\n",
+       "      <td>18-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>98</td>\n",
-       "      <td>45.2</td>\n",
-       "      <td>217</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>6.5</td>\n",
-       "      <td>22-Apr</td>\n",
+       "      <td>77</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>189</td>\n",
+       "      <td>37</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>01-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>70</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>161</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>4.4</td>\n",
-       "      <td>17-May</td>\n",
+       "      <td>91</td>\n",
+       "      <td>46.4</td>\n",
+       "      <td>196</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>25-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>70</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>168</td>\n",
-       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>203</td>\n",
+       "      <td>41.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>32</td>\n",
-       "      <td>4</td>\n",
-       "      <td>07-Jun</td>\n",
+       "      <td>70</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>13-Jun</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other White</th>\n",
-       "      <td>84</td>\n",
-       "      <td>46.2</td>\n",
+       "      <td>63</td>\n",
+       "      <td>34.6</td>\n",
        "      <td>182</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>22-May</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>10-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other mixed</th>\n",
+       "      <th>Other White</th>\n",
        "      <td>84</td>\n",
        "      <td>41.4</td>\n",
        "      <td>203</td>\n",
        "      <td>37.9</td>\n",
        "      <td>3.5</td>\n",
-       "      <td>10-Jun</td>\n",
+       "      <td>05-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36</td>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>70</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>189</td>\n",
+       "      <td>37</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>77</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>196</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>06-Jul</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>238</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>574</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>4.9</td>\n",
-       "      <td>13-May</td>\n",
+       "      <td>210</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>546</td>\n",
+       "      <td>35.9</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>15-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>77</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>217</td>\n",
-       "      <td>32.3</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>02-Jul</td>\n",
+       "      <td>84</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>189</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
        "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36</td>\n",
-       "      <td>4</td>\n",
-       "      <td>31-May</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>203</td>\n",
+       "      <td>31</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>19-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>13-Jun</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>203</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>05-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>266</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>637</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>259</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>693</td>\n",
+       "      <td>35.4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>273</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>693</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>01-Jul</td>\n",
+       "      <td>245</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>644</td>\n",
+       "      <td>35.9</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>19-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>301</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>714</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>4</td>\n",
-       "      <td>27-May</td>\n",
+       "      <td>266</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>651</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>12-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>259</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>651</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>25-May</td>\n",
+       "      <td>287</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>714</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>28-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>252</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>651</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>2.1</td>\n",
-       "      <td>23-Aug</td>\n",
+       "      <td>280</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>679</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>16-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>63</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>36</td>\n",
+       "      <td>77</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>189</td>\n",
+       "      <td>40.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>441</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>1085</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>434</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>1099</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>980</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2429</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>973</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2464</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>30-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>07-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>42</td>\n",
-       "      <td>50</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>12-Jun</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>50</td>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>60</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -2222,151 +2462,151 @@
        "      <th rowspan=\"2\" valign=\"top\">dialysis</th>\n",
        "      <th>no</th>\n",
        "      <td>1400</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3542</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>14-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>60</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40</td>\n",
-       "      <td>20</td>\n",
-       "      <td>15-Mar</td>\n",
+       "      <td>14</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>24-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>25.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>28</td>\n",
-       "      <td>25</td>\n",
+       "      <td>50</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37.2</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>14-Jun</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>20.0</td>\n",
        "      <td>35</td>\n",
        "      <td>20</td>\n",
-       "      <td>20</td>\n",
-       "      <td>22-Mar</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>1393</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3437</td>\n",
-       "      <td>36.9</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>09-Jun</td>\n",
+       "      <td>1379</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3486</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>30-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>8.4</td>\n",
+       "      <td>09-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>1414</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>3486</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3521</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">lung_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -2374,39 +2614,39 @@
        "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
        "      <td>1400</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>3479</td>\n",
-       "      <td>37</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>3535</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>35</td>\n",
        "      <td>40</td>\n",
-       "      <td>20</td>\n",
-       "      <td>15-Mar</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>1407</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>3472</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>14-Jun</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>3528</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>60.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>35</td>\n",
        "      <td>40</td>\n",
-       "      <td>20</td>\n",
-       "      <td>15-Mar</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2415,388 +2655,388 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                    1422   \n",
+       "overall                   overall                                    1411   \n",
        "sex                       F                                           714   \n",
-       "                          M                                           707   \n",
-       "ageband_5yr               0                                            77   \n",
-       "                          0-15                                         77   \n",
-       "                          16-29                                        98   \n",
+       "                          M                                           693   \n",
+       "ageband_5yr               0                                            84   \n",
+       "                          0-15                                         91   \n",
+       "                          16-29                                        77   \n",
        "                          30-34                                        91   \n",
-       "                          35-39                                        91   \n",
-       "                          40-44                                        98   \n",
-       "                          45-49                                        77   \n",
+       "                          35-39                                        84   \n",
+       "                          40-44                                       105   \n",
+       "                          45-49                                        70   \n",
        "                          50-54                                        98   \n",
-       "                          55-59                                        91   \n",
-       "                          60-64                                        70   \n",
+       "                          55-59                                        84   \n",
+       "                          60-64                                        91   \n",
        "                          65-69                                        91   \n",
-       "                          70-74                                       105   \n",
-       "                          75-79                                        77   \n",
-       "                          80-84                                        77   \n",
+       "                          70-74                                        84   \n",
+       "                          75-79                                        91   \n",
+       "                          80-84                                        84   \n",
        "                          85-89                                        98   \n",
-       "                          90+                                          91   \n",
-       "ethnicity_6_groups        Black                                       238   \n",
-       "                          Mixed                                       252   \n",
-       "                          Other                                       224   \n",
-       "                          South Asian                                 238   \n",
-       "                          Unknown                                     224   \n",
+       "                          90+                                          77   \n",
+       "ethnicity_6_groups        Black                                       224   \n",
+       "                          Mixed                                       231   \n",
+       "                          Other                                       245   \n",
+       "                          South Asian                                 252   \n",
+       "                          Unknown                                     217   \n",
        "                          White                                       245   \n",
-       "ethnicity_16_groups        African                                     77   \n",
-       "                           Bangladeshi or British Bangladeshi          91   \n",
-       "                           Caribbean                                   63   \n",
-       "                           Chinese                                     63   \n",
-       "                           Other                                       70   \n",
-       "                           Other Asian                                 98   \n",
-       "                          British or Mixed British                     70   \n",
-       "                          Indian or British Indian                     70   \n",
-       "                          Irish                                        63   \n",
-       "                          Other Black                                  70   \n",
+       "ethnicity_16_groups        African                                     63   \n",
+       "                           Bangladeshi or British Bangladeshi          70   \n",
+       "                           Caribbean                                   77   \n",
+       "                           Chinese                                     70   \n",
+       "                           Other                                       77   \n",
+       "                           Other Asian                                 77   \n",
+       "                          British or Mixed British                     91   \n",
+       "                          Indian or British Indian                     84   \n",
+       "                          Irish                                        70   \n",
+       "                          Other Black                                  63   \n",
        "                          Other White                                  84   \n",
-       "                          Other mixed                                  84   \n",
-       "                          Pakistani or British Pakistani               63   \n",
-       "                          Unknown                                     238   \n",
-       "                          White + Asian                                77   \n",
+       "                          Other mixed                                  70   \n",
+       "                          Pakistani or British Pakistani               77   \n",
+       "                          Unknown                                     210   \n",
+       "                          White + Asian                                84   \n",
        "                          White + Black African                        70   \n",
-       "                          White + Black Caribbean                      70   \n",
-       "imd_categories            1 Most deprived                             266   \n",
-       "                          2                                           273   \n",
-       "                          3                                           301   \n",
-       "                          4                                           259   \n",
-       "                          5 Least deprived                            252   \n",
-       "                          Unknown                                      63   \n",
-       "bmi                       30+                                         441   \n",
-       "                          under 30                                    980   \n",
-       "chronic_cardiac_disease   no                                         1400   \n",
-       "                          yes                                          21   \n",
-       "current_copd              no                                         1407   \n",
+       "                          White + Black Caribbean                      84   \n",
+       "imd_categories            1 Most deprived                             259   \n",
+       "                          2                                           245   \n",
+       "                          3                                           266   \n",
+       "                          4                                           287   \n",
+       "                          5 Least deprived                            280   \n",
+       "                          Unknown                                      77   \n",
+       "bmi                       30+                                         434   \n",
+       "                          under 30                                    973   \n",
+       "chronic_cardiac_disease   no                                         1393   \n",
        "                          yes                                          14   \n",
-       "dialysis                  no                                         1400   \n",
-       "                          yes                                          21   \n",
-       "dmards                    no                                         1407   \n",
+       "current_copd              no                                         1393   \n",
        "                          yes                                          21   \n",
-       "dementia                  no                                         1414   \n",
-       "                          yes                                           7   \n",
-       "psychosis_schiz_bipolar   no                                         1414   \n",
+       "dialysis                  no                                         1400   \n",
        "                          yes                                          14   \n",
-       "LD                        no                                         1393   \n",
-       "                          yes                                          35   \n",
-       "ssri                      no                                         1414   \n",
+       "dmards                    no                                         1393   \n",
+       "                          yes                                          14   \n",
+       "dementia                  no                                         1400   \n",
+       "                          yes                                          14   \n",
+       "psychosis_schiz_bipolar   no                                         1400   \n",
        "                          yes                                           7   \n",
-       "chemo_or_radio            no                                         1407   \n",
+       "LD                        no                                         1379   \n",
+       "                          yes                                          35   \n",
+       "ssri                      no                                         1400   \n",
        "                          yes                                          14   \n",
-       "lung_cancer               no                                         1407   \n",
+       "chemo_or_radio            no                                         1393   \n",
+       "                          yes                                          14   \n",
+       "lung_cancer               no                                         1400   \n",
        "                          yes                                          14   \n",
        "cancer_excl_lung_and_haem no                                         1400   \n",
-       "                          yes                                          21   \n",
-       "haematological_cancer     no                                         1407   \n",
-       "                          yes                                          21   \n",
+       "                          yes                                          14   \n",
+       "haematological_cancer     no                                         1400   \n",
+       "                          yes                                          14   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 40.5   3514   \n",
-       "sex                       F                                       40.2   1778   \n",
-       "                          M                                       40.7   1736   \n",
-       "ageband_5yr               0                                       35.5    217   \n",
-       "                          0-15                                    37.9    203   \n",
-       "                          16-29                                   41.2    238   \n",
-       "                          30-34                                   40.6    224   \n",
-       "                          35-39                                   41.9    217   \n",
-       "                          40-44                                   41.2    238   \n",
-       "                          45-49                                   37.9    203   \n",
-       "                          50-54                                   41.2    238   \n",
-       "                          55-59                                   44.8    203   \n",
-       "                          60-64                                   38.5    182   \n",
-       "                          65-69                                   41.9    217   \n",
-       "                          70-74                                   42.9    245   \n",
-       "                          75-79                                   34.4    224   \n",
-       "                          80-84                                   36.7    210   \n",
+       "overall                   overall                                 39.5   3570   \n",
+       "sex                       F                                       40.0   1785   \n",
+       "                          M                                       39.0   1778   \n",
+       "ageband_5yr               0                                       37.5    224   \n",
+       "                          0-15                                    37.1    245   \n",
+       "                          16-29                                   36.7    210   \n",
+       "                          30-34                                   37.1    245   \n",
+       "                          35-39                                   36.4    231   \n",
+       "                          40-44                                   44.1    238   \n",
+       "                          45-49                                   35.7    196   \n",
+       "                          50-54                                   45.2    217   \n",
+       "                          55-59                                   41.4    203   \n",
+       "                          60-64                                   40.6    224   \n",
+       "                          65-69                                   39.4    231   \n",
+       "                          70-74                                   37.5    224   \n",
+       "                          75-79                                   41.9    217   \n",
+       "                          80-84                                   40.0    210   \n",
        "                          85-89                                   42.4    231   \n",
-       "                          90+                                     40.6    224   \n",
-       "ethnicity_6_groups        Black                                   40.5    588   \n",
-       "                          Mixed                                   41.4    609   \n",
-       "                          Other                                   38.6    581   \n",
-       "                          South Asian                             40.5    588   \n",
-       "                          Unknown                                 40.5    553   \n",
-       "                          White                                   41.7    588   \n",
-       "ethnicity_16_groups        African                                40.7    189   \n",
-       "                           Bangladeshi or British Bangladeshi     46.4    196   \n",
-       "                           Caribbean                              39.1    161   \n",
-       "                           Chinese                                34.6    182   \n",
-       "                           Other                                  45.5    154   \n",
-       "                           Other Asian                            45.2    217   \n",
-       "                          British or Mixed British                43.5    161   \n",
-       "                          Indian or British Indian                41.7    168   \n",
-       "                          Irish                                   36.0    175   \n",
-       "                          Other Black                             37.0    189   \n",
-       "                          Other White                             46.2    182   \n",
-       "                          Other mixed                             41.4    203   \n",
-       "                          Pakistani or British Pakistani          36.0    175   \n",
-       "                          Unknown                                 41.5    574   \n",
-       "                          White + Asian                           35.5    217   \n",
-       "                          White + Black African                   40.0    175   \n",
-       "                          White + Black Caribbean                 37.0    189   \n",
-       "imd_categories            1 Most deprived                         41.8    637   \n",
-       "                          2                                       39.4    693   \n",
-       "                          3                                       42.2    714   \n",
-       "                          4                                       39.8    651   \n",
-       "                          5 Least deprived                        38.7    651   \n",
-       "                          Unknown                                 36.0    175   \n",
-       "bmi                       30+                                     40.6   1085   \n",
-       "                          under 30                                40.3   2429   \n",
-       "chronic_cardiac_disease   no                                      40.3   3472   \n",
-       "                          yes                                     50.0     42   \n",
-       "current_copd              no                                      40.4   3486   \n",
-       "                          yes                                     50.0     28   \n",
-       "dialysis                  no                                      40.3   3472   \n",
-       "                          yes                                     60.0     35   \n",
-       "dmards                    no                                      40.4   3479   \n",
+       "                          90+                                     35.5    217   \n",
+       "ethnicity_6_groups        Black                                   39.0    574   \n",
+       "                          Mixed                                   36.3    637   \n",
+       "                          Other                                   40.2    609   \n",
+       "                          South Asian                             40.4    623   \n",
+       "                          Unknown                                 39.7    546   \n",
+       "                          White                                   42.2    581   \n",
+       "ethnicity_16_groups        African                                34.6    182   \n",
+       "                           Bangladeshi or British Bangladeshi     41.7    168   \n",
+       "                           Caribbean                              42.3    182   \n",
+       "                           Chinese                                40.0    175   \n",
+       "                           Other                                  44.0    175   \n",
+       "                           Other Asian                            40.7    189   \n",
+       "                          British or Mixed British                46.4    196   \n",
+       "                          Indian or British Indian                41.4    203   \n",
+       "                          Irish                                   38.5    182   \n",
+       "                          Other Black                             34.6    182   \n",
+       "                          Other White                             41.4    203   \n",
+       "                          Other mixed                             37.0    189   \n",
+       "                          Pakistani or British Pakistani          39.3    196   \n",
+       "                          Unknown                                 38.5    546   \n",
+       "                          White + Asian                           44.4    189   \n",
+       "                          White + Black African                   34.5    203   \n",
+       "                          White + Black Caribbean                 41.4    203   \n",
+       "imd_categories            1 Most deprived                         37.4    693   \n",
+       "                          2                                       38.0    644   \n",
+       "                          3                                       40.9    651   \n",
+       "                          4                                       40.2    714   \n",
+       "                          5 Least deprived                        41.2    679   \n",
+       "                          Unknown                                 40.7    189   \n",
+       "bmi                       30+                                     39.5   1099   \n",
+       "                          under 30                                39.5   2464   \n",
+       "chronic_cardiac_disease   no                                      39.4   3535   \n",
+       "                          yes                                     40.0     35   \n",
+       "current_copd              no                                      39.5   3528   \n",
        "                          yes                                     60.0     35   \n",
-       "dementia                  no                                      40.6   3486   \n",
-       "                          yes                                     25.0     28   \n",
-       "psychosis_schiz_bipolar   no                                      40.6   3479   \n",
+       "dialysis                  no                                      39.5   3542   \n",
+       "                          yes                                     66.7     21   \n",
+       "dmards                    no                                      39.5   3528   \n",
+       "                          yes                                     33.3     42   \n",
+       "dementia                  no                                      39.6   3535   \n",
+       "                          yes                                     50.0     28   \n",
+       "psychosis_schiz_bipolar   no                                      39.6   3535   \n",
+       "                          yes                                     20.0     35   \n",
+       "LD                        no                                      39.6   3486   \n",
+       "                          yes                                     41.7     84   \n",
+       "ssri                      no                                      39.6   3535   \n",
        "                          yes                                     40.0     35   \n",
-       "LD                        no                                      40.5   3437   \n",
-       "                          yes                                     45.5     77   \n",
-       "ssri                      no                                      40.6   3486   \n",
-       "                          yes                                     33.3     21   \n",
-       "chemo_or_radio            no                                      40.4   3479   \n",
+       "chemo_or_radio            no                                      39.6   3521   \n",
+       "                          yes                                     28.6     49   \n",
+       "lung_cancer               no                                      39.6   3535   \n",
+       "                          yes                                     50.0     28   \n",
+       "cancer_excl_lung_and_haem no                                      39.6   3535   \n",
        "                          yes                                     40.0     35   \n",
-       "lung_cancer               no                                      40.4   3479   \n",
+       "haematological_cancer     no                                      39.7   3528   \n",
        "                          yes                                     40.0     35   \n",
-       "cancer_excl_lung_and_haem no                                      40.2   3479   \n",
-       "                          yes                                     60.0     35   \n",
-       "haematological_cancer     no                                      40.5   3472   \n",
-       "                          yes                                     60.0     35   \n",
        "\n",
        "                                                              vaccinated 7d previous (percent)  \\\n",
        "category                  group                                                                  \n",
-       "overall                   overall                                                         37.1   \n",
-       "sex                       F                                                               37.4   \n",
-       "                          M                                                               36.7   \n",
-       "ageband_5yr               0                                                               32.3   \n",
-       "                          0-15                                                              31   \n",
-       "                          16-29                                                           38.2   \n",
-       "                          30-34                                                           37.5   \n",
-       "                          35-39                                                           38.7   \n",
-       "                          40-44                                                           38.2   \n",
-       "                          45-49                                                           34.5   \n",
-       "                          50-54                                                           38.2   \n",
+       "overall                   overall                                                         37.3   \n",
+       "sex                       F                                                               37.6   \n",
+       "                          M                                                                 37   \n",
+       "ageband_5yr               0                                                               34.4   \n",
+       "                          0-15                                                            37.1   \n",
+       "                          16-29                                                           33.3   \n",
+       "                          30-34                                                           37.1   \n",
+       "                          35-39                                                           33.3   \n",
+       "                          40-44                                                           44.1   \n",
+       "                          45-49                                                           32.1   \n",
+       "                          50-54                                                           41.9   \n",
        "                          55-59                                                           41.4   \n",
-       "                          60-64                                                           34.6   \n",
-       "                          65-69                                                           41.9   \n",
-       "                          70-74                                                           37.1   \n",
-       "                          75-79                                                           31.2   \n",
+       "                          60-64                                                           40.6   \n",
+       "                          65-69                                                           39.4   \n",
+       "                          70-74                                                           34.4   \n",
+       "                          75-79                                                           38.7   \n",
        "                          80-84                                                           36.7   \n",
        "                          85-89                                                           39.4   \n",
-       "                          90+                                                             37.5   \n",
-       "ethnicity_6_groups        Black                                                           36.9   \n",
-       "                          Mixed                                                           36.8   \n",
-       "                          Other                                                           36.1   \n",
-       "                          South Asian                                                     38.1   \n",
-       "                          Unknown                                                           38   \n",
-       "                          White                                                           36.9   \n",
-       "ethnicity_16_groups        African                                                          37   \n",
-       "                           Bangladeshi or British Bangladeshi                             42.9   \n",
-       "                           Caribbean                                                      34.8   \n",
-       "                           Chinese                                                        30.8   \n",
-       "                           Other                                                          40.9   \n",
-       "                           Other Asian                                                    38.7   \n",
-       "                          British or Mixed British                                        39.1   \n",
-       "                          Indian or British Indian                                        41.7   \n",
-       "                          Irish                                                             32   \n",
-       "                          Other Black                                                     33.3   \n",
-       "                          Other White                                                     42.3   \n",
-       "                          Other mixed                                                     37.9   \n",
-       "                          Pakistani or British Pakistani                                    36   \n",
-       "                          Unknown                                                         36.6   \n",
-       "                          White + Asian                                                   32.3   \n",
-       "                          White + Black African                                             36   \n",
-       "                          White + Black Caribbean                                         33.3   \n",
-       "imd_categories            1 Most deprived                                                 38.5   \n",
-       "                          2                                                               36.4   \n",
-       "                          3                                                               38.2   \n",
-       "                          4                                                               35.5   \n",
-       "                          5 Least deprived                                                36.6   \n",
-       "                          Unknown                                                           36   \n",
-       "bmi                       30+                                                             37.4   \n",
-       "                          under 30                                                        36.9   \n",
-       "chronic_cardiac_disease   no                                                              36.9   \n",
-       "                          yes                                                               50   \n",
-       "current_copd              no                                                              36.9   \n",
-       "                          yes                                                               50   \n",
-       "dialysis                  no                                                              36.9   \n",
-       "                          yes                                                               60   \n",
-       "dmards                    no                                                                37   \n",
+       "                          90+                                                             35.5   \n",
+       "ethnicity_6_groups        Black                                                           37.8   \n",
+       "                          Mixed                                                           34.1   \n",
+       "                          Other                                                           39.1   \n",
+       "                          South Asian                                                     37.1   \n",
+       "                          Unknown                                                         38.5   \n",
+       "                          White                                                           38.6   \n",
+       "ethnicity_16_groups        African                                                        34.6   \n",
+       "                           Bangladeshi or British Bangladeshi                             37.5   \n",
+       "                           Caribbean                                                      38.5   \n",
+       "                           Chinese                                                          36   \n",
+       "                           Other                                                            40   \n",
+       "                           Other Asian                                                      37   \n",
+       "                          British or Mixed British                                        42.9   \n",
+       "                          Indian or British Indian                                        41.4   \n",
+       "                          Irish                                                           38.5   \n",
+       "                          Other Black                                                     30.8   \n",
+       "                          Other White                                                     37.9   \n",
+       "                          Other mixed                                                       37   \n",
+       "                          Pakistani or British Pakistani                                  35.7   \n",
+       "                          Unknown                                                         35.9   \n",
+       "                          White + Asian                                                   44.4   \n",
+       "                          White + Black African                                             31   \n",
+       "                          White + Black Caribbean                                         37.9   \n",
+       "imd_categories            1 Most deprived                                                 35.4   \n",
+       "                          2                                                               35.9   \n",
+       "                          3                                                               37.6   \n",
+       "                          4                                                               37.3   \n",
+       "                          5 Least deprived                                                39.2   \n",
+       "                          Unknown                                                         40.7   \n",
+       "bmi                       30+                                                             37.6   \n",
+       "                          under 30                                                        37.2   \n",
+       "chronic_cardiac_disease   no                                                              37.2   \n",
        "                          yes                                                               40   \n",
-       "dementia                  no                                                              37.1   \n",
-       "                          yes                                                               25   \n",
-       "psychosis_schiz_bipolar   no                                                              37.2   \n",
+       "current_copd              no                                                              37.3   \n",
+       "                          yes                                                               60   \n",
+       "dialysis                  no                                                              37.4   \n",
+       "                          yes                                                             66.7   \n",
+       "dmards                    no                                                              37.3   \n",
+       "                          yes                                                             33.3   \n",
+       "dementia                  no                                                              37.2   \n",
+       "                          yes                                                               50   \n",
+       "psychosis_schiz_bipolar   no                                                              37.4   \n",
        "                          yes                                                               20   \n",
-       "LD                        no                                                              36.9   \n",
-       "                          yes                                                             45.5   \n",
-       "ssri                      no                                                              37.1   \n",
+       "LD                        no                                                              37.3   \n",
        "                          yes                                                             33.3   \n",
-       "chemo_or_radio            no                                                                37   \n",
-       "                          yes                                                               40   \n",
-       "lung_cancer               no                                                                37   \n",
+       "ssri                      no                                                              37.4   \n",
        "                          yes                                                               40   \n",
-       "cancer_excl_lung_and_haem no                                                                37   \n",
+       "chemo_or_radio            no                                                              37.4   \n",
+       "                          yes                                                             28.6   \n",
+       "lung_cancer               no                                                              37.4   \n",
+       "                          yes                                                               50   \n",
+       "cancer_excl_lung_and_haem no                                                              37.4   \n",
        "                          yes                                                               40   \n",
-       "haematological_cancer     no                                                              37.1   \n",
+       "haematological_cancer     no                                                              37.5   \n",
        "                          yes                                                               40   \n",
        "\n",
        "                                                              Uptake over last 7d (percent)  \\\n",
        "category                  group                                                               \n",
-       "overall                   overall                                                       3.4   \n",
-       "sex                       F                                                             2.8   \n",
-       "                          M                                                               4   \n",
-       "ageband_5yr               0                                                             3.2   \n",
-       "                          0-15                                                          6.9   \n",
-       "                          16-29                                                           3   \n",
-       "                          30-34                                                         3.1   \n",
-       "                          35-39                                                         3.2   \n",
-       "                          40-44                                                           3   \n",
-       "                          45-49                                                         3.4   \n",
-       "                          50-54                                                           3   \n",
-       "                          55-59                                                         3.4   \n",
-       "                          60-64                                                         3.9   \n",
+       "overall                   overall                                                       2.2   \n",
+       "sex                       F                                                             2.4   \n",
+       "                          M                                                               2   \n",
+       "ageband_5yr               0                                                             3.1   \n",
+       "                          0-15                                                            0   \n",
+       "                          16-29                                                         3.4   \n",
+       "                          30-34                                                           0   \n",
+       "                          35-39                                                         3.1   \n",
+       "                          40-44                                                           0   \n",
+       "                          45-49                                                         3.6   \n",
+       "                          50-54                                                         3.3   \n",
+       "                          55-59                                                           0   \n",
+       "                          60-64                                                           0   \n",
        "                          65-69                                                           0   \n",
-       "                          70-74                                                         5.8   \n",
+       "                          70-74                                                         3.1   \n",
        "                          75-79                                                         3.2   \n",
-       "                          80-84                                                           0   \n",
+       "                          80-84                                                         3.3   \n",
        "                          85-89                                                           3   \n",
-       "                          90+                                                           3.1   \n",
-       "ethnicity_6_groups        Black                                                         3.6   \n",
-       "                          Mixed                                                         4.6   \n",
-       "                          Other                                                         2.5   \n",
-       "                          South Asian                                                   2.4   \n",
-       "                          Unknown                                                       2.5   \n",
-       "                          White                                                         4.8   \n",
-       "ethnicity_16_groups        African                                                      3.7   \n",
-       "                           Bangladeshi or British Bangladeshi                           3.5   \n",
-       "                           Caribbean                                                    4.3   \n",
-       "                           Chinese                                                      3.8   \n",
-       "                           Other                                                        4.6   \n",
-       "                           Other Asian                                                  6.5   \n",
-       "                          British or Mixed British                                      4.4   \n",
+       "                          90+                                                             0   \n",
+       "ethnicity_6_groups        Black                                                         1.2   \n",
+       "                          Mixed                                                         2.2   \n",
+       "                          Other                                                         1.1   \n",
+       "                          South Asian                                                   3.3   \n",
+       "                          Unknown                                                       1.2   \n",
+       "                          White                                                         3.6   \n",
+       "ethnicity_16_groups        African                                                        0   \n",
+       "                           Bangladeshi or British Bangladeshi                           4.2   \n",
+       "                           Caribbean                                                    3.8   \n",
+       "                           Chinese                                                        4   \n",
+       "                           Other                                                          4   \n",
+       "                           Other Asian                                                  3.7   \n",
+       "                          British or Mixed British                                      3.5   \n",
        "                          Indian or British Indian                                        0   \n",
-       "                          Irish                                                           4   \n",
-       "                          Other Black                                                   3.7   \n",
-       "                          Other White                                                   3.9   \n",
-       "                          Other mixed                                                   3.5   \n",
-       "                          Pakistani or British Pakistani                                  0   \n",
-       "                          Unknown                                                       4.9   \n",
-       "                          White + Asian                                                 3.2   \n",
-       "                          White + Black African                                           4   \n",
-       "                          White + Black Caribbean                                       3.7   \n",
-       "imd_categories            1 Most deprived                                               3.3   \n",
-       "                          2                                                               3   \n",
-       "                          3                                                               4   \n",
-       "                          4                                                             4.3   \n",
-       "                          5 Least deprived                                              2.1   \n",
+       "                          Irish                                                           0   \n",
+       "                          Other Black                                                   3.8   \n",
+       "                          Other White                                                   3.5   \n",
+       "                          Other mixed                                                     0   \n",
+       "                          Pakistani or British Pakistani                                3.6   \n",
+       "                          Unknown                                                       2.6   \n",
+       "                          White + Asian                                                   0   \n",
+       "                          White + Black African                                         3.5   \n",
+       "                          White + Black Caribbean                                       3.5   \n",
+       "imd_categories            1 Most deprived                                                 2   \n",
+       "                          2                                                             2.1   \n",
+       "                          3                                                             3.3   \n",
+       "                          4                                                             2.9   \n",
+       "                          5 Least deprived                                                2   \n",
        "                          Unknown                                                         0   \n",
-       "bmi                       30+                                                           3.2   \n",
-       "                          under 30                                                      3.4   \n",
-       "chronic_cardiac_disease   no                                                            3.4   \n",
+       "bmi                       30+                                                           1.9   \n",
+       "                          under 30                                                      2.3   \n",
+       "chronic_cardiac_disease   no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "current_copd              no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "dialysis                  no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "dmards                    no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "current_copd              no                                                            3.5   \n",
+       "dementia                  no                                                            2.4   \n",
        "                          yes                                                             0   \n",
-       "dialysis                  no                                                            3.4   \n",
+       "psychosis_schiz_bipolar   no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "dmards                    no                                                            3.4   \n",
-       "                          yes                                                            20   \n",
-       "dementia                  no                                                            3.5   \n",
+       "LD                        no                                                            2.3   \n",
+       "                          yes                                                           8.4   \n",
+       "ssri                      no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                            3.4   \n",
-       "                          yes                                                            20   \n",
-       "LD                        no                                                            3.6   \n",
+       "chemo_or_radio            no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "ssri                      no                                                            3.5   \n",
+       "lung_cancer               no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "chemo_or_radio            no                                                            3.4   \n",
+       "cancer_excl_lung_and_haem no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "lung_cancer               no                                                            3.4   \n",
+       "haematological_cancer     no                                                            2.2   \n",
        "                          yes                                                             0   \n",
-       "cancer_excl_lung_and_haem no                                                            3.2   \n",
-       "                          yes                                                            20   \n",
-       "haematological_cancer     no                                                            3.4   \n",
-       "                          yes                                                            20   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  14-Jun  \n",
-       "sex                       F                                                        07-Jul  \n",
-       "                          M                                                        30-May  \n",
-       "ageband_5yr               0                                                        02-Jul  \n",
-       "                          0-15                                                     26-Apr  \n",
-       "                          16-29                                                    26-Jun  \n",
-       "                          30-34                                                    24-Jun  \n",
-       "                          35-39                                                    18-Jun  \n",
-       "                          40-44                                                    26-Jun  \n",
-       "                          45-49                                                    20-Jun  \n",
-       "                          50-54                                                    26-Jun  \n",
-       "                          55-59                                                    06-Jun  \n",
-       "                          60-64                                                    05-Jun  \n",
+       "overall                   overall                                                  06-Sep  \n",
+       "sex                       F                                                        22-Aug  \n",
+       "                          M                                                       unknown  \n",
+       "ageband_5yr               0                                                        26-Jul  \n",
+       "                          0-15                                                    unknown  \n",
+       "                          16-29                                                    17-Jul  \n",
+       "                          30-34                                                   unknown  \n",
+       "                          35-39                                                    29-Jul  \n",
+       "                          40-44                                                   unknown  \n",
+       "                          45-49                                                    13-Jul  \n",
+       "                          50-54                                                    03-Jul  \n",
+       "                          55-59                                                   unknown  \n",
+       "                          60-64                                                   unknown  \n",
        "                          65-69                                                   unknown  \n",
-       "                          70-74                                                    30-Apr  \n",
-       "                          75-79                                                    04-Jul  \n",
-       "                          80-84                                                   unknown  \n",
-       "                          85-89                                                    24-Jun  \n",
-       "                          90+                                                      24-Jun  \n",
-       "ethnicity_6_groups        Black                                                    09-Jun  \n",
-       "                          Mixed                                                    17-May  \n",
-       "                          Other                                                    26-Jul  \n",
-       "                          South Asian                                              27-Jul  \n",
-       "                          Unknown                                                  21-Jul  \n",
-       "                          White                                                    14-May  \n",
-       "ethnicity_16_groups        African                                                 06-Jun  \n",
-       "                           Bangladeshi or British Bangladeshi                      31-May  \n",
-       "                           Caribbean                                               26-May  \n",
-       "                           Chinese                                                 15-Jun  \n",
-       "                           Other                                                   11-May  \n",
-       "                           Other Asian                                             22-Apr  \n",
-       "                          British or Mixed British                                 17-May  \n",
+       "                          70-74                                                    26-Jul  \n",
+       "                          75-79                                                    13-Jul  \n",
+       "                          80-84                                                    14-Jul  \n",
+       "                          85-89                                                    19-Jul  \n",
+       "                          90+                                                     unknown  \n",
+       "ethnicity_6_groups        Black                                                   unknown  \n",
+       "                          Mixed                                                    16-Sep  \n",
+       "                          Other                                                   unknown  \n",
+       "                          South Asian                                              13-Jul  \n",
+       "                          Unknown                                                 unknown  \n",
+       "                          White                                                    30-Jun  \n",
+       "ethnicity_16_groups        African                                                unknown  \n",
+       "                           Bangladeshi or British Bangladeshi                      18-Jun  \n",
+       "                           Caribbean                                               25-Jun  \n",
+       "                           Chinese                                                 25-Jun  \n",
+       "                           Other                                                   18-Jun  \n",
+       "                           Other Asian                                             01-Jul  \n",
+       "                          British or Mixed British                                 25-Jun  \n",
        "                          Indian or British Indian                                unknown  \n",
-       "                          Irish                                                    07-Jun  \n",
-       "                          Other Black                                              13-Jun  \n",
-       "                          Other White                                              22-May  \n",
-       "                          Other mixed                                              10-Jun  \n",
-       "                          Pakistani or British Pakistani                          unknown  \n",
-       "                          Unknown                                                  13-May  \n",
-       "                          White + Asian                                            02-Jul  \n",
-       "                          White + Black African                                    31-May  \n",
-       "                          White + Black Caribbean                                  13-Jun  \n",
-       "imd_categories            1 Most deprived                                          15-Jun  \n",
-       "                          2                                                        01-Jul  \n",
-       "                          3                                                        27-May  \n",
-       "                          4                                                        25-May  \n",
-       "                          5 Least deprived                                         23-Aug  \n",
+       "                          Irish                                                   unknown  \n",
+       "                          Other Black                                              10-Jul  \n",
+       "                          Other White                                              05-Jul  \n",
+       "                          Other mixed                                             unknown  \n",
+       "                          Pakistani or British Pakistani                           06-Jul  \n",
+       "                          Unknown                                                  15-Aug  \n",
+       "                          White + Asian                                           unknown  \n",
+       "                          White + Black African                                    19-Jul  \n",
+       "                          White + Black Caribbean                                  05-Jul  \n",
+       "imd_categories            1 Most deprived                                         unknown  \n",
+       "                          2                                                        19-Sep  \n",
+       "                          3                                                        12-Jul  \n",
+       "                          4                                                        28-Jul  \n",
+       "                          5 Least deprived                                         16-Sep  \n",
        "                          Unknown                                                 unknown  \n",
-       "bmi                       30+                                                      21-Jun  \n",
-       "                          under 30                                                 15-Jun  \n",
-       "chronic_cardiac_disease   no                                                       15-Jun  \n",
+       "bmi                       30+                                                     unknown  \n",
+       "                          under 30                                                 30-Aug  \n",
+       "chronic_cardiac_disease   no                                                       07-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "current_copd              no                                                       06-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "dialysis                  no                                                       14-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       12-Jun  \n",
+       "dmards                    no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "dialysis                  no                                                       15-Jun  \n",
+       "dementia                  no                                                       24-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       15-Jun  \n",
-       "                          yes                                                      15-Mar  \n",
-       "dementia                  no                                                       11-Jun  \n",
+       "psychosis_schiz_bipolar   no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       14-Jun  \n",
-       "                          yes                                                      22-Mar  \n",
-       "LD                        no                                                       09-Jun  \n",
+       "LD                        no                                                       30-Aug  \n",
+       "                          yes                                                      09-May  \n",
+       "ssri                      no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "ssri                      no                                                       11-Jun  \n",
+       "chemo_or_radio            no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       15-Jun  \n",
+       "lung_cancer               no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "lung_cancer               no                                                       15-Jun  \n",
+       "cancer_excl_lung_and_haem no                                                       06-Sep  \n",
        "                          yes                                                     unknown  \n",
-       "cancer_excl_lung_and_haem no                                                       21-Jun  \n",
-       "                          yes                                                      15-Mar  \n",
-       "haematological_cancer     no                                                       14-Jun  \n",
-       "                          yes                                                      15-Mar  "
+       "haematological_cancer     no                                                       06-Sep  \n",
+       "                          yes                                                     unknown  "
       ]
      },
      "metadata": {},
@@ -2817,7 +3057,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **care home** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **care home** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -2883,59 +3123,59 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>530</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>1414</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>01-Jul</td>\n",
+       "      <td>549</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>1372</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>273</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>721</td>\n",
-       "      <td>34</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>06-Jun</td>\n",
+       "      <td>266</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>707</td>\n",
+       "      <td>35.6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>259</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>693</td>\n",
-       "      <td>34.3</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>01-Jul</td>\n",
+       "      <td>280</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>665</td>\n",
+       "      <td>40</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>46.2</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0-15</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
+       "      <td>28</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
        "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>8.3</td>\n",
+       "      <td>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-34</th>\n",
@@ -2949,11 +3189,11 @@
        "    <tr>\n",
        "      <th>35-39</th>\n",
        "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>6.7</td>\n",
-       "      <td>26-Apr</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>98</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</th>\n",
@@ -2967,102 +3207,102 @@
        "    <tr>\n",
        "      <th>45-49</th>\n",
        "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>30.8</td>\n",
-       "      <td>7.7</td>\n",
-       "      <td>20-Apr</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>8.4</td>\n",
+       "      <td>09-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</th>\n",
-       "      <td>28</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
        "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>41.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
        "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
+       "      <td>46.2</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
-       "      <td>35</td>\n",
-       "      <td>35.7</td>\n",
+       "      <td>49</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>98</td>\n",
-       "      <td>35.7</td>\n",
+       "      <td>50</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>28</td>\n",
-       "      <td>26.7</td>\n",
-       "      <td>105</td>\n",
-       "      <td>26.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>84</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-74</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>28</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>91</td>\n",
+       "      <td>23.1</td>\n",
+       "      <td>7.7</td>\n",
+       "      <td>22-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
        "      <td>91</td>\n",
        "      <td>38.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>80-84</th>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>63</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>7.7</td>\n",
+       "      <td>08-May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80-84</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>21</td>\n",
+       "      <td>27.3</td>\n",
        "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>27.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90+</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>98</td>\n",
-       "      <td>41.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.2</td>\n",
        "      <td>238</td>\n",
        "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>01-May</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>02-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
@@ -3071,62 +3311,62 @@
        "      <td>252</td>\n",
        "      <td>36.1</td>\n",
        "      <td>2.8</td>\n",
-       "      <td>10-Jul</td>\n",
+       "      <td>04-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>98</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>273</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>2.6</td>\n",
-       "      <td>28-Jul</td>\n",
+       "      <td>84</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>217</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>84</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>231</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>91</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>224</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>3.1</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>19-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>70</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>189</td>\n",
-       "      <td>37</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>84</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>210</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>14-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>77</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>224</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>98</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>19-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>525</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>1393</td>\n",
-       "      <td>34.7</td>\n",
-       "      <td>3</td>\n",
-       "      <td>05-Jul</td>\n",
+       "      <td>539</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>1351</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>13-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>10-Apr</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3135,123 +3375,123 @@
       "text/plain": [
        "                                vaccinated  percent  total  \\\n",
        "category           group                                     \n",
-       "overall            overall             530     37.5   1414   \n",
-       "sex                F                   273     37.9    721   \n",
-       "                   M                   259     37.4    693   \n",
-       "ageband_5yr        0                    35     45.5     77   \n",
-       "                   0-15                 35     38.5     91   \n",
-       "                   16-29                42     37.5    112   \n",
+       "overall            overall             549     40.0   1372   \n",
+       "sex                F                   266     37.6    707   \n",
+       "                   M                   280     42.1    665   \n",
+       "ageband_5yr        0                    42     46.2     91   \n",
+       "                   0-15                 28     36.4     77   \n",
+       "                   16-29                42     50.0     84   \n",
        "                   30-34                28     36.4     77   \n",
-       "                   35-39                42     40.0    105   \n",
+       "                   35-39                42     42.9     98   \n",
        "                   40-44                21     27.3     77   \n",
-       "                   45-49                35     38.5     91   \n",
-       "                   50-54                28     33.3     84   \n",
-       "                   55-59                35     38.5     91   \n",
-       "                   60-64                35     35.7     98   \n",
-       "                   65-69                28     26.7    105   \n",
-       "                   70-74                35     41.7     84   \n",
-       "                   75-79                35     38.5     91   \n",
-       "                   80-84                21     33.3     63   \n",
-       "                   85-89                28     36.4     77   \n",
-       "                   90+                  28     36.4     77   \n",
-       "ethnicity_6_groups Black                98     41.2    238   \n",
+       "                   45-49                35     41.7     84   \n",
+       "                   50-54                35     41.7     84   \n",
+       "                   55-59                42     46.2     91   \n",
+       "                   60-64                49     50.0     98   \n",
+       "                   65-69                21     25.0     84   \n",
+       "                   70-74                28     30.8     91   \n",
+       "                   75-79                42     46.2     91   \n",
+       "                   80-84                35     41.7     84   \n",
+       "                   85-89                21     27.3     77   \n",
+       "                   90+                  35     41.7     84   \n",
+       "ethnicity_6_groups Black                91     38.2    238   \n",
        "                   Mixed                98     38.9    252   \n",
-       "                   Other                98     35.9    273   \n",
-       "                   South Asian          84     36.4    231   \n",
-       "                   Unknown              70     37.0    189   \n",
-       "                   White                77     34.4    224   \n",
-       "dementia           no                  525     37.7   1393   \n",
-       "                   yes                   0      0.0     14   \n",
+       "                   Other                84     38.7    217   \n",
+       "                   South Asian          91     40.6    224   \n",
+       "                   Unknown              84     40.0    210   \n",
+       "                   White                98     42.4    231   \n",
+       "dementia           no                  539     39.9   1351   \n",
+       "                   yes                   7     33.3     21   \n",
        "\n",
        "                               vaccinated 7d previous (percent)  \\\n",
        "category           group                                          \n",
-       "overall            overall                                 34.4   \n",
-       "sex                F                                         34   \n",
-       "                   M                                       34.3   \n",
-       "ageband_5yr        0                                       45.5   \n",
-       "                   0-15                                    38.5   \n",
-       "                   16-29                                   37.5   \n",
+       "overall            overall                                 37.8   \n",
+       "sex                F                                       35.6   \n",
+       "                   M                                         40   \n",
+       "ageband_5yr        0                                       46.2   \n",
+       "                   0-15                                    36.4   \n",
+       "                   16-29                                   41.7   \n",
        "                   30-34                                   36.4   \n",
-       "                   35-39                                   33.3   \n",
+       "                   35-39                                   42.9   \n",
        "                   40-44                                   27.3   \n",
-       "                   45-49                                   30.8   \n",
-       "                   50-54                                   33.3   \n",
-       "                   55-59                                   38.5   \n",
-       "                   60-64                                   35.7   \n",
-       "                   65-69                                   26.7   \n",
-       "                   70-74                                   41.7   \n",
+       "                   45-49                                   33.3   \n",
+       "                   50-54                                   41.7   \n",
+       "                   55-59                                   46.2   \n",
+       "                   60-64                                     50   \n",
+       "                   65-69                                     25   \n",
+       "                   70-74                                   23.1   \n",
        "                   75-79                                   38.5   \n",
-       "                   80-84                                   33.3   \n",
-       "                   85-89                                   36.4   \n",
-       "                   90+                                     36.4   \n",
+       "                   80-84                                   41.7   \n",
+       "                   85-89                                   27.3   \n",
+       "                   90+                                     41.7   \n",
        "ethnicity_6_groups Black                                   35.3   \n",
        "                   Mixed                                   36.1   \n",
-       "                   Other                                   33.3   \n",
-       "                   South Asian                             33.3   \n",
-       "                   Unknown                                   37   \n",
-       "                   White                                   31.2   \n",
-       "dementia           no                                      34.7   \n",
+       "                   Other                                   38.7   \n",
+       "                   South Asian                             37.5   \n",
+       "                   Unknown                                 36.7   \n",
+       "                   White                                   39.4   \n",
+       "dementia           no                                      37.8   \n",
        "                   yes                                        0   \n",
        "\n",
        "                               Uptake over last 7d (percent)  \\\n",
        "category           group                                       \n",
-       "overall            overall                               3.1   \n",
-       "sex                F                                     3.9   \n",
-       "                   M                                     3.1   \n",
+       "overall            overall                               2.2   \n",
+       "sex                F                                       2   \n",
+       "                   M                                     2.1   \n",
        "ageband_5yr        0                                       0   \n",
        "                   0-15                                    0   \n",
-       "                   16-29                                   0   \n",
+       "                   16-29                                 8.3   \n",
        "                   30-34                                   0   \n",
-       "                   35-39                                 6.7   \n",
+       "                   35-39                                   0   \n",
        "                   40-44                                   0   \n",
-       "                   45-49                                 7.7   \n",
+       "                   45-49                                 8.4   \n",
        "                   50-54                                   0   \n",
        "                   55-59                                   0   \n",
        "                   60-64                                   0   \n",
        "                   65-69                                   0   \n",
-       "                   70-74                                   0   \n",
-       "                   75-79                                   0   \n",
+       "                   70-74                                 7.7   \n",
+       "                   75-79                                 7.7   \n",
        "                   80-84                                   0   \n",
        "                   85-89                                   0   \n",
        "                   90+                                     0   \n",
-       "ethnicity_6_groups Black                                 5.9   \n",
+       "ethnicity_6_groups Black                                 2.9   \n",
        "                   Mixed                                 2.8   \n",
-       "                   Other                                 2.6   \n",
+       "                   Other                                   0   \n",
        "                   South Asian                           3.1   \n",
-       "                   Unknown                                 0   \n",
-       "                   White                                 3.2   \n",
-       "dementia           no                                      3   \n",
-       "                   yes                                     0   \n",
+       "                   Unknown                               3.3   \n",
+       "                   White                                   3   \n",
+       "dementia           no                                    2.1   \n",
+       "                   yes                                  33.3   \n",
        "\n",
        "                               Date projected to reach 90%  \n",
        "category           group                                    \n",
-       "overall            overall                          01-Jul  \n",
-       "sex                F                                06-Jun  \n",
-       "                   M                                01-Jul  \n",
+       "overall            overall                          05-Sep  \n",
+       "sex                F                               unknown  \n",
+       "                   M                                05-Sep  \n",
        "ageband_5yr        0                               unknown  \n",
        "                   0-15                            unknown  \n",
-       "                   16-29                           unknown  \n",
+       "                   16-29                            02-May  \n",
        "                   30-34                           unknown  \n",
-       "                   35-39                            26-Apr  \n",
+       "                   35-39                           unknown  \n",
        "                   40-44                           unknown  \n",
-       "                   45-49                            20-Apr  \n",
+       "                   45-49                            09-May  \n",
        "                   50-54                           unknown  \n",
        "                   55-59                           unknown  \n",
        "                   60-64                           unknown  \n",
        "                   65-69                           unknown  \n",
-       "                   70-74                           unknown  \n",
-       "                   75-79                           unknown  \n",
+       "                   70-74                            22-May  \n",
+       "                   75-79                            08-May  \n",
        "                   80-84                           unknown  \n",
        "                   85-89                           unknown  \n",
        "                   90+                             unknown  \n",
-       "ethnicity_6_groups Black                            01-May  \n",
-       "                   Mixed                            10-Jul  \n",
-       "                   Other                            28-Jul  \n",
-       "                   South Asian                      04-Jul  \n",
-       "                   Unknown                         unknown  \n",
-       "                   White                            04-Jul  \n",
-       "dementia           no                               05-Jul  \n",
-       "                   yes                             unknown  "
+       "ethnicity_6_groups Black                            02-Aug  \n",
+       "                   Mixed                            04-Aug  \n",
+       "                   Other                           unknown  \n",
+       "                   South Asian                      19-Jul  \n",
+       "                   Unknown                          14-Jul  \n",
+       "                   White                            19-Jul  \n",
+       "dementia           no                               13-Sep  \n",
+       "                   yes                              10-Apr  "
       ]
      },
      "metadata": {},
@@ -3272,7 +3512,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **shielding (aged 16-69)** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **shielding (aged 16-69)** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -3338,22 +3578,22 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>162</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>420</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>2.4</td>\n",
-       "      <td>01-Aug</td>\n",
+       "      <td>153</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>413</td>\n",
+       "      <td>35.4</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">newly_shielded_since_feb_15</th>\n",
        "      <th>no</th>\n",
-       "      <td>161</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>420</td>\n",
-       "      <td>35</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>22-Jun</td>\n",
+       "      <td>154</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>406</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -3367,65 +3607,65 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>84</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>217</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>25-Jun</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>17-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
        "      <td>77</td>\n",
        "      <td>37.9</td>\n",
        "      <td>203</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>15-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">ageband</th>\n",
        "      <th>16-29</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>56</td>\n",
-       "      <td>50</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-39</th>\n",
        "      <td>21</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>56</td>\n",
-       "      <td>25</td>\n",
-       "      <td>12.5</td>\n",
-       "      <td>03-Apr</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-49</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-59</th>\n",
-       "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
+       "      <td>14</td>\n",
+       "      <td>28.6</td>\n",
        "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
+       "      <td>28.6</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-69</th>\n",
-       "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -3440,86 +3680,86 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>14</td>\n",
-       "      <td>25.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>56</td>\n",
-       "      <td>25</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30</td>\n",
-       "      <td>10</td>\n",
-       "      <td>09-Apr</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>63</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>35</td>\n",
+       "      <td>45.5</td>\n",
+       "      <td>77</td>\n",
+       "      <td>45.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>63</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>28</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30</td>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>41.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>63</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>70</td>\n",
-       "      <td>30</td>\n",
+       "      <td>40</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>42</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>98</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>7.2</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>28</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>91</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -3537,14 +3777,14 @@
        "      <td>84</td>\n",
        "      <td>33.3</td>\n",
        "      <td>8.4</td>\n",
-       "      <td>14-Apr</td>\n",
+       "      <td>09-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
        "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -3560,12 +3800,12 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>413</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>18-Jun</td>\n",
+       "      <td>147</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>406</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -3583,118 +3823,118 @@
       "text/plain": [
        "                                              vaccinated  percent  total  \\\n",
        "category                    group                                          \n",
-       "overall                     overall                  162     38.6    420   \n",
-       "newly_shielded_since_feb_15 no                       161     38.3    420   \n",
+       "overall                     overall                  153     37.0    413   \n",
+       "newly_shielded_since_feb_15 no                       154     37.9    406   \n",
        "                            yes                        0      NaN      0   \n",
-       "sex                         F                         84     38.7    217   \n",
+       "sex                         F                         77     36.7    210   \n",
        "                            M                         77     37.9    203   \n",
-       "ageband                     16-29                     28     50.0     56   \n",
-       "                            30-39                     21     37.5     56   \n",
-       "                            40-49                     28     44.4     63   \n",
-       "                            50-59                     21     42.9     49   \n",
-       "                            60-69                     14     28.6     49   \n",
+       "ageband                     16-29                     21     37.5     56   \n",
+       "                            30-39                     21     50.0     42   \n",
+       "                            40-49                     21     37.5     56   \n",
+       "                            50-59                     14     28.6     49   \n",
+       "                            60-69                     21     42.9     49   \n",
        "                            70-79                     35     35.7     98   \n",
-       "                            80+                       14     25.0     56   \n",
-       "ethnicity_6_groups          Black                     28     40.0     70   \n",
-       "                            Mixed                     28     44.4     63   \n",
-       "                            Other                     21     33.3     63   \n",
-       "                            South Asian               21     30.0     70   \n",
-       "                            Unknown                   28     44.4     63   \n",
-       "                            White                     35     41.7     84   \n",
-       "imd_categories              1 Most deprived           21     30.0     70   \n",
-       "                            2                         42     42.9     98   \n",
+       "                            80+                       21     37.5     56   \n",
+       "ethnicity_6_groups          Black                     21     33.3     63   \n",
+       "                            Mixed                     35     45.5     77   \n",
+       "                            Other                     28     36.4     77   \n",
+       "                            South Asian               28     44.4     63   \n",
+       "                            Unknown                   21     33.3     63   \n",
+       "                            White                     21     33.3     63   \n",
+       "imd_categories              1 Most deprived           28     40.0     70   \n",
+       "                            2                         28     30.8     91   \n",
        "                            3                         28     33.3     84   \n",
        "                            4                         35     41.7     84   \n",
-       "                            5 Least deprived          28     36.4     77   \n",
+       "                            5 Least deprived          28     44.4     63   \n",
        "                            Unknown                    7     33.3     21   \n",
-       "LD                          no                       161     39.0    413   \n",
+       "LD                          no                       147     36.2    406   \n",
        "                            yes                        0      0.0      7   \n",
        "\n",
        "                                             vaccinated 7d previous (percent)  \\\n",
        "category                    group                                               \n",
-       "overall                     overall                                      36.2   \n",
-       "newly_shielded_since_feb_15 no                                             35   \n",
+       "overall                     overall                                      35.4   \n",
+       "newly_shielded_since_feb_15 no                                           36.2   \n",
        "                            yes                                           NaN   \n",
-       "sex                         F                                            35.5   \n",
-       "                            M                                            37.9   \n",
-       "ageband                     16-29                                          50   \n",
-       "                            30-39                                          25   \n",
-       "                            40-49                                        44.4   \n",
-       "                            50-59                                        42.9   \n",
-       "                            60-69                                        28.6   \n",
+       "sex                         F                                            33.3   \n",
+       "                            M                                            34.5   \n",
+       "ageband                     16-29                                        37.5   \n",
+       "                            30-39                                          50   \n",
+       "                            40-49                                        37.5   \n",
+       "                            50-59                                        28.6   \n",
+       "                            60-69                                        42.9   \n",
        "                            70-79                                        35.7   \n",
-       "                            80+                                            25   \n",
-       "ethnicity_6_groups          Black                                          30   \n",
-       "                            Mixed                                        44.4   \n",
-       "                            Other                                        33.3   \n",
-       "                            South Asian                                    30   \n",
-       "                            Unknown                                      44.4   \n",
-       "                            White                                        41.7   \n",
-       "imd_categories              1 Most deprived                                30   \n",
-       "                            2                                            35.7   \n",
+       "                            80+                                          37.5   \n",
+       "ethnicity_6_groups          Black                                        33.3   \n",
+       "                            Mixed                                        45.5   \n",
+       "                            Other                                        36.4   \n",
+       "                            South Asian                                  44.4   \n",
+       "                            Unknown                                      33.3   \n",
+       "                            White                                        33.3   \n",
+       "imd_categories              1 Most deprived                                40   \n",
+       "                            2                                            30.8   \n",
        "                            3                                            33.3   \n",
        "                            4                                            33.3   \n",
-       "                            5 Least deprived                             36.4   \n",
+       "                            5 Least deprived                             44.4   \n",
        "                            Unknown                                      33.3   \n",
-       "LD                          no                                           35.6   \n",
+       "LD                          no                                           34.5   \n",
        "                            yes                                             0   \n",
        "\n",
        "                                             Uptake over last 7d (percent)  \\\n",
        "category                    group                                            \n",
-       "overall                     overall                                    2.4   \n",
-       "newly_shielded_since_feb_15 no                                         3.3   \n",
+       "overall                     overall                                    1.6   \n",
+       "newly_shielded_since_feb_15 no                                         1.7   \n",
        "                            yes                                          0   \n",
-       "sex                         F                                          3.2   \n",
-       "                            M                                            0   \n",
+       "sex                         F                                          3.4   \n",
+       "                            M                                          3.4   \n",
        "ageband                     16-29                                        0   \n",
-       "                            30-39                                     12.5   \n",
+       "                            30-39                                        0   \n",
        "                            40-49                                        0   \n",
        "                            50-59                                        0   \n",
        "                            60-69                                        0   \n",
        "                            70-79                                        0   \n",
        "                            80+                                          0   \n",
-       "ethnicity_6_groups          Black                                       10   \n",
+       "ethnicity_6_groups          Black                                        0   \n",
        "                            Mixed                                        0   \n",
        "                            Other                                        0   \n",
        "                            South Asian                                  0   \n",
        "                            Unknown                                      0   \n",
        "                            White                                        0   \n",
        "imd_categories              1 Most deprived                              0   \n",
-       "                            2                                          7.2   \n",
+       "                            2                                            0   \n",
        "                            3                                            0   \n",
        "                            4                                          8.4   \n",
        "                            5 Least deprived                             0   \n",
        "                            Unknown                                      0   \n",
-       "LD                          no                                         3.4   \n",
+       "LD                          no                                         1.7   \n",
        "                            yes                                          0   \n",
        "\n",
        "                                             Date projected to reach 90%  \n",
        "category                    group                                         \n",
-       "overall                     overall                               01-Aug  \n",
-       "newly_shielded_since_feb_15 no                                    22-Jun  \n",
+       "overall                     overall                              unknown  \n",
+       "newly_shielded_since_feb_15 no                                   unknown  \n",
        "                            yes                                  unknown  \n",
-       "sex                         F                                     25-Jun  \n",
-       "                            M                                    unknown  \n",
+       "sex                         F                                     17-Jul  \n",
+       "                            M                                     15-Jul  \n",
        "ageband                     16-29                                unknown  \n",
-       "                            30-39                                 03-Apr  \n",
+       "                            30-39                                unknown  \n",
        "                            40-49                                unknown  \n",
        "                            50-59                                unknown  \n",
        "                            60-69                                unknown  \n",
        "                            70-79                                unknown  \n",
        "                            80+                                  unknown  \n",
-       "ethnicity_6_groups          Black                                 09-Apr  \n",
+       "ethnicity_6_groups          Black                                unknown  \n",
        "                            Mixed                                unknown  \n",
        "                            Other                                unknown  \n",
        "                            South Asian                          unknown  \n",
        "                            Unknown                              unknown  \n",
        "                            White                                unknown  \n",
        "imd_categories              1 Most deprived                      unknown  \n",
-       "                            2                                     19-Apr  \n",
+       "                            2                                    unknown  \n",
        "                            3                                    unknown  \n",
-       "                            4                                     14-Apr  \n",
+       "                            4                                     09-May  \n",
        "                            5 Least deprived                     unknown  \n",
        "                            Unknown                              unknown  \n",
-       "LD                          no                                    18-Jun  \n",
+       "LD                          no                                   unknown  \n",
        "                            yes                                  unknown  "
       ]
      },
@@ -3716,7 +3956,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **65-69** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **65-69** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -3782,177 +4022,177 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>2149</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>2.9</td>\n",
-       "      <td>02-Jul</td>\n",
+       "      <td>900</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2191</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>03-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>441</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1092</td>\n",
-       "      <td>37.2</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>476</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>19-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
        "      <td>427</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1057</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>11-Jul</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>08-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>161</td>\n",
-       "      <td>43.4</td>\n",
-       "      <td>371</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>1.9</td>\n",
-       "      <td>23-Aug</td>\n",
+       "      <td>154</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>378</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>140</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>385</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>1.9</td>\n",
+       "      <td>154</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>378</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>1.8</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>154</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>371</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>02-Jun</td>\n",
+       "      <td>140</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>364</td>\n",
+       "      <td>34.6</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>30-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
        "      <td>147</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>343</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>4.1</td>\n",
-       "      <td>24-May</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>371</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
        "      <td>126</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>343</td>\n",
-       "      <td>34.7</td>\n",
-       "      <td>2</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>308</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>26-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>140</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>336</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
-       "      <td>24-May</td>\n",
+       "      <td>168</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>378</td>\n",
+       "      <td>42.6</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>49</td>\n",
-       "      <td>46.7</td>\n",
+       "      <td>42</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>105</td>\n",
-       "      <td>40</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>6.7</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>21-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
        "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>46.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>35</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
+       "      <td>42</td>\n",
+       "      <td>35.3</td>\n",
        "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
+       "      <td>35.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
+       "      <th>Chinese</th>\n",
        "      <td>49</td>\n",
        "      <td>38.9</td>\n",
        "      <td>126</td>\n",
        "      <td>33.3</td>\n",
        "      <td>5.6</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other Asian</th>\n",
+       "      <th>Other</th>\n",
        "      <td>42</td>\n",
        "      <td>37.5</td>\n",
        "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>British or Mixed British</th>\n",
+       "      <th>Other Asian</th>\n",
        "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>46.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Indian or British Indian</th>\n",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>British or Mixed British</th>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>112</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>6.2</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Irish</th>\n",
+       "      <th>Indian or British Indian</th>\n",
        "      <td>49</td>\n",
-       "      <td>46.7</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40</td>\n",
-       "      <td>6.7</td>\n",
-       "      <td>19-Apr</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Irish</th>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
@@ -3961,7 +4201,7 @@
        "      <td>126</td>\n",
        "      <td>38.9</td>\n",
        "      <td>5.5</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
@@ -3970,193 +4210,193 @@
        "      <td>112</td>\n",
        "      <td>31.2</td>\n",
        "      <td>6.3</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>27-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
+       "      <td>42</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>133</td>\n",
-       "      <td>40.4</td>\n",
+       "      <td>140</td>\n",
+       "      <td>42.6</td>\n",
        "      <td>329</td>\n",
        "      <td>38.3</td>\n",
-       "      <td>2.1</td>\n",
-       "      <td>17-Aug</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>15-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>01-May</td>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>25-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
        "      <td>42</td>\n",
        "      <td>40.0</td>\n",
        "      <td>105</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>6.7</td>\n",
-       "      <td>26-Apr</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
        "      <td>42</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>105</td>\n",
-       "      <td>40</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>112</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>154</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>399</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>15-Jun</td>\n",
+       "      <td>182</td>\n",
+       "      <td>39.4</td>\n",
+       "      <td>462</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>168</td>\n",
-       "      <td>42.1</td>\n",
-       "      <td>399</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1.7</td>\n",
+       "      <td>161</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>406</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>1.8</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>175</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>420</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>12-Jun</td>\n",
+       "      <td>168</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>399</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>03-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>42.4</td>\n",
        "      <td>413</td>\n",
-       "      <td>35.6</td>\n",
+       "      <td>39</td>\n",
        "      <td>3.4</td>\n",
-       "      <td>18-Jun</td>\n",
+       "      <td>06-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>182</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>441</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>19-Jun</td>\n",
+       "      <td>175</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>427</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>11-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>28</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>42</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>7.7</td>\n",
+       "      <td>08-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>259</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>679</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>280</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>672</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>07-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>609</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>1470</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>2.8</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>623</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>1512</td>\n",
+       "      <td>38</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>14-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>854</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>37.6</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>11-Jul</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>16-Mar</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>21</td>\n",
-       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.9</td>\n",
-       "      <td>02-Jul</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>50</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -4170,12 +4410,12 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -4189,88 +4429,88 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>847</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2100</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.6</td>\n",
-       "      <td>16-Jul</td>\n",
+       "      <td>882</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>2135</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>25-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>21</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>28-Mar</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>21</td>\n",
-       "      <td>0</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>2.6</td>\n",
-       "      <td>16-Jul</td>\n",
+       "      <td>896</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>25-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>14</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>10-Apr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">lung_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>861</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2128</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>2156</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>08-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
-       "      <td>854</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>2163</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -4284,19 +4524,19 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>2135</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\n",
+       "      <td>889</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>26-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>14</td>\n",
-       "      <td>0</td>\n",
+       "      <td>66.7</td>\n",
+       "      <td>21</td>\n",
+       "      <td>66.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -4307,297 +4547,297 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                     868   \n",
-       "sex                       F                                           441   \n",
+       "overall                   overall                                     900   \n",
+       "sex                       F                                           476   \n",
        "                          M                                           427   \n",
-       "ethnicity_6_groups        Black                                       161   \n",
-       "                          Mixed                                       140   \n",
-       "                          Other                                       154   \n",
+       "ethnicity_6_groups        Black                                       154   \n",
+       "                          Mixed                                       154   \n",
+       "                          Other                                       140   \n",
        "                          South Asian                                 147   \n",
        "                          Unknown                                     126   \n",
-       "                          White                                       140   \n",
-       "ethnicity_16_groups        African                                     49   \n",
+       "                          White                                       168   \n",
+       "ethnicity_16_groups        African                                     42   \n",
        "                           Bangladeshi or British Bangladeshi          49   \n",
-       "                           Caribbean                                   35   \n",
+       "                           Caribbean                                   42   \n",
        "                           Chinese                                     49   \n",
-       "                           Other                                       49   \n",
-       "                           Other Asian                                 42   \n",
-       "                          British or Mixed British                     49   \n",
-       "                          Indian or British Indian                     56   \n",
-       "                          Irish                                        49   \n",
-       "                          Other Black                                  35   \n",
+       "                           Other                                       42   \n",
+       "                           Other Asian                                 49   \n",
+       "                          British or Mixed British                     42   \n",
+       "                          Indian or British Indian                     49   \n",
+       "                          Irish                                        56   \n",
+       "                          Other Black                                  56   \n",
        "                          Other White                                  56   \n",
        "                          Other mixed                                  42   \n",
-       "                          Pakistani or British Pakistani               49   \n",
-       "                          Unknown                                     133   \n",
-       "                          White + Asian                                49   \n",
+       "                          Pakistani or British Pakistani               42   \n",
+       "                          Unknown                                     140   \n",
+       "                          White + Asian                                63   \n",
        "                          White + Black African                        42   \n",
        "                          White + Black Caribbean                      42   \n",
-       "imd_categories            1 Most deprived                             154   \n",
-       "                          2                                           168   \n",
-       "                          3                                           175   \n",
-       "                          4                                           161   \n",
-       "                          5 Least deprived                            182   \n",
-       "                          Unknown                                      28   \n",
-       "bmi                       30+                                         259   \n",
-       "                          under 30                                    609   \n",
-       "chronic_cardiac_disease   no                                          854   \n",
+       "imd_categories            1 Most deprived                             182   \n",
+       "                          2                                           161   \n",
+       "                          3                                           168   \n",
+       "                          4                                           175   \n",
+       "                          5 Least deprived                            175   \n",
+       "                          Unknown                                      42   \n",
+       "bmi                       30+                                         280   \n",
+       "                          under 30                                    623   \n",
+       "chronic_cardiac_disease   no                                          889   \n",
        "                          yes                                          14   \n",
-       "current_copd              no                                          868   \n",
-       "                          yes                                           0   \n",
-       "dmards                    no                                          861   \n",
+       "current_copd              no                                          889   \n",
        "                          yes                                           7   \n",
-       "dementia                  no                                          861   \n",
+       "dmards                    no                                          889   \n",
        "                          yes                                           7   \n",
-       "psychosis_schiz_bipolar   no                                          861   \n",
+       "dementia                  no                                          889   \n",
        "                          yes                                           7   \n",
-       "LD                        no                                          847   \n",
+       "psychosis_schiz_bipolar   no                                          889   \n",
+       "                          yes                                           7   \n",
+       "LD                        no                                          882   \n",
        "                          yes                                          21   \n",
-       "ssri                      no                                          861   \n",
-       "                          yes                                           0   \n",
-       "chemo_or_radio            no                                          861   \n",
-       "                          yes                                           0   \n",
-       "lung_cancer               no                                          861   \n",
+       "ssri                      no                                          889   \n",
+       "                          yes                                          14   \n",
+       "chemo_or_radio            no                                          896   \n",
        "                          yes                                           7   \n",
-       "cancer_excl_lung_and_haem no                                          854   \n",
+       "lung_cancer               no                                          889   \n",
+       "                          yes                                          14   \n",
+       "cancer_excl_lung_and_haem no                                          889   \n",
+       "                          yes                                          14   \n",
+       "haematological_cancer     no                                          889   \n",
        "                          yes                                          14   \n",
-       "haematological_cancer     no                                          868   \n",
-       "                          yes                                           0   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 40.4   2149   \n",
-       "sex                       F                                       40.4   1092   \n",
-       "                          M                                       40.4   1057   \n",
-       "ethnicity_6_groups        Black                                   43.4    371   \n",
-       "                          Mixed                                   36.4    385   \n",
-       "                          Other                                   41.5    371   \n",
-       "                          South Asian                             42.9    343   \n",
-       "                          Unknown                                 36.7    343   \n",
-       "                          White                                   41.7    336   \n",
-       "ethnicity_16_groups        African                                46.7    105   \n",
-       "                           Bangladeshi or British Bangladeshi     41.2    119   \n",
-       "                           Caribbean                              31.2    112   \n",
-       "                           Chinese                                41.2    119   \n",
-       "                           Other                                  38.9    126   \n",
-       "                           Other Asian                            37.5    112   \n",
-       "                          British or Mixed British                38.9    126   \n",
-       "                          Indian or British Indian                50.0    112   \n",
-       "                          Irish                                   46.7    105   \n",
-       "                          Other Black                             38.5     91   \n",
+       "overall                   overall                                 41.1   2191   \n",
+       "sex                       F                                       41.2   1155   \n",
+       "                          M                                       41.2   1036   \n",
+       "ethnicity_6_groups        Black                                   40.7    378   \n",
+       "                          Mixed                                   40.7    378   \n",
+       "                          Other                                   38.5    364   \n",
+       "                          South Asian                             39.6    371   \n",
+       "                          Unknown                                 40.9    308   \n",
+       "                          White                                   44.4    378   \n",
+       "ethnicity_16_groups        African                                40.0    105   \n",
+       "                           Bangladeshi or British Bangladeshi     46.7    105   \n",
+       "                           Caribbean                              35.3    119   \n",
+       "                           Chinese                                38.9    126   \n",
+       "                           Other                                  37.5    112   \n",
+       "                           Other Asian                            46.7    105   \n",
+       "                          British or Mixed British                37.5    112   \n",
+       "                          Indian or British Indian                41.2    119   \n",
+       "                          Irish                                   44.4    126   \n",
+       "                          Other Black                             44.4    126   \n",
        "                          Other White                             44.4    126   \n",
        "                          Other mixed                             37.5    112   \n",
-       "                          Pakistani or British Pakistani          38.9    126   \n",
-       "                          Unknown                                 40.4    329   \n",
-       "                          White + Asian                           41.2    119   \n",
+       "                          Pakistani or British Pakistani          37.5    112   \n",
+       "                          Unknown                                 42.6    329   \n",
+       "                          White + Asian                           47.4    133   \n",
        "                          White + Black African                   40.0    105   \n",
-       "                          White + Black Caribbean                 40.0    105   \n",
-       "imd_categories            1 Most deprived                         38.6    399   \n",
-       "                          2                                       42.1    399   \n",
-       "                          3                                       41.7    420   \n",
-       "                          4                                       39.0    413   \n",
-       "                          5 Least deprived                        41.3    441   \n",
-       "                          Unknown                                 33.3     84   \n",
-       "bmi                       30+                                     38.1    679   \n",
-       "                          under 30                                41.4   1470   \n",
-       "chronic_cardiac_disease   no                                      40.3   2121   \n",
-       "                          yes                                     50.0     28   \n",
-       "current_copd              no                                      40.7   2135   \n",
-       "                          yes                                      0.0     21   \n",
-       "dmards                    no                                      40.3   2135   \n",
-       "                          yes                                     50.0     14   \n",
-       "dementia                  no                                      40.5   2128   \n",
+       "                          White + Black Caribbean                 37.5    112   \n",
+       "imd_categories            1 Most deprived                         39.4    462   \n",
+       "                          2                                       39.7    406   \n",
+       "                          3                                       42.1    399   \n",
+       "                          4                                       42.4    413   \n",
+       "                          5 Least deprived                        41.0    427   \n",
+       "                          Unknown                                 46.2     91   \n",
+       "bmi                       30+                                     41.7    672   \n",
+       "                          under 30                                41.2   1512   \n",
+       "chronic_cardiac_disease   no                                      41.0   2170   \n",
+       "                          yes                                     66.7     21   \n",
+       "current_copd              no                                      41.1   2163   \n",
+       "                          yes                                     25.0     28   \n",
+       "dmards                    no                                      41.0   2170   \n",
        "                          yes                                     33.3     21   \n",
-       "psychosis_schiz_bipolar   no                                      40.5   2128   \n",
+       "dementia                  no                                      41.1   2163   \n",
        "                          yes                                     33.3     21   \n",
-       "LD                        no                                      40.3   2100   \n",
-       "                          yes                                     42.9     49   \n",
-       "ssri                      no                                      40.5   2128   \n",
-       "                          yes                                      0.0     21   \n",
-       "chemo_or_radio            no                                      40.3   2135   \n",
-       "                          yes                                      0.0     14   \n",
-       "lung_cancer               no                                      40.5   2128   \n",
+       "psychosis_schiz_bipolar   no                                      41.1   2163   \n",
+       "                          yes                                     33.3     21   \n",
+       "LD                        no                                      41.3   2135   \n",
+       "                          yes                                     37.5     56   \n",
+       "ssri                      no                                      41.0   2170   \n",
+       "                          yes                                     66.7     21   \n",
+       "chemo_or_radio            no                                      41.3   2170   \n",
        "                          yes                                     33.3     21   \n",
-       "cancer_excl_lung_and_haem no                                      40.3   2121   \n",
+       "lung_cancer               no                                      41.2   2156   \n",
+       "                          yes                                     40.0     35   \n",
+       "cancer_excl_lung_and_haem no                                      41.1   2163   \n",
        "                          yes                                     50.0     28   \n",
-       "haematological_cancer     no                                      40.7   2135   \n",
-       "                          yes                                      0.0     14   \n",
+       "haematological_cancer     no                                      41.0   2170   \n",
+       "                          yes                                     66.7     21   \n",
        "\n",
        "                                                              vaccinated 7d previous (percent)  \\\n",
        "category                  group                                                                  \n",
-       "overall                   overall                                                         37.5   \n",
-       "sex                       F                                                               37.2   \n",
-       "                          M                                                               37.7   \n",
-       "ethnicity_6_groups        Black                                                           41.5   \n",
-       "                          Mixed                                                           34.5   \n",
-       "                          Other                                                           37.7   \n",
-       "                          South Asian                                                     38.8   \n",
-       "                          Unknown                                                         34.7   \n",
-       "                          White                                                           37.5   \n",
-       "ethnicity_16_groups        African                                                          40   \n",
-       "                           Bangladeshi or British Bangladeshi                             41.2   \n",
-       "                           Caribbean                                                      31.2   \n",
-       "                           Chinese                                                        41.2   \n",
-       "                           Other                                                          33.3   \n",
-       "                           Other Asian                                                    31.2   \n",
-       "                          British or Mixed British                                        38.9   \n",
-       "                          Indian or British Indian                                        43.8   \n",
-       "                          Irish                                                             40   \n",
-       "                          Other Black                                                     38.5   \n",
+       "overall                   overall                                                         38.4   \n",
+       "sex                       F                                                               38.8   \n",
+       "                          M                                                               37.8   \n",
+       "ethnicity_6_groups        Black                                                           38.9   \n",
+       "                          Mixed                                                           38.9   \n",
+       "                          Other                                                           34.6   \n",
+       "                          South Asian                                                     39.6   \n",
+       "                          Unknown                                                         38.6   \n",
+       "                          White                                                           42.6   \n",
+       "ethnicity_16_groups        African                                                        33.3   \n",
+       "                           Bangladeshi or British Bangladeshi                             46.7   \n",
+       "                           Caribbean                                                      35.3   \n",
+       "                           Chinese                                                        33.3   \n",
+       "                           Other                                                          37.5   \n",
+       "                           Other Asian                                                    46.7   \n",
+       "                          British or Mixed British                                        37.5   \n",
+       "                          Indian or British Indian                                        41.2   \n",
+       "                          Irish                                                           38.9   \n",
+       "                          Other Black                                                     38.9   \n",
        "                          Other White                                                     38.9   \n",
        "                          Other mixed                                                     31.2   \n",
-       "                          Pakistani or British Pakistani                                  38.9   \n",
+       "                          Pakistani or British Pakistani                                  37.5   \n",
        "                          Unknown                                                         38.3   \n",
-       "                          White + Asian                                                   35.3   \n",
-       "                          White + Black African                                           33.3   \n",
-       "                          White + Black Caribbean                                           40   \n",
-       "imd_categories            1 Most deprived                                                 35.1   \n",
-       "                          2                                                               40.4   \n",
-       "                          3                                                               38.3   \n",
-       "                          4                                                               35.6   \n",
-       "                          5 Least deprived                                                38.1   \n",
-       "                          Unknown                                                         33.3   \n",
-       "bmi                       30+                                                             35.1   \n",
-       "                          under 30                                                        38.6   \n",
-       "chronic_cardiac_disease   no                                                              37.6   \n",
+       "                          White + Asian                                                   42.1   \n",
+       "                          White + Black African                                             40   \n",
+       "                          White + Black Caribbean                                         37.5   \n",
+       "imd_categories            1 Most deprived                                                 36.4   \n",
+       "                          2                                                               37.9   \n",
+       "                          3                                                               38.6   \n",
+       "                          4                                                                 39   \n",
+       "                          5 Least deprived                                                37.7   \n",
+       "                          Unknown                                                         38.5   \n",
+       "bmi                       30+                                                             39.6   \n",
+       "                          under 30                                                          38   \n",
+       "chronic_cardiac_disease   no                                                              38.4   \n",
+       "                          yes                                                             66.7   \n",
+       "current_copd              no                                                              38.5   \n",
        "                          yes                                                               25   \n",
-       "current_copd              no                                                              37.7   \n",
-       "                          yes                                                                0   \n",
-       "dmards                    no                                                              37.4   \n",
-       "                          yes                                                               50   \n",
-       "dementia                  no                                                              37.5   \n",
+       "dmards                    no                                                              38.4   \n",
        "                          yes                                                             33.3   \n",
-       "psychosis_schiz_bipolar   no                                                              37.5   \n",
+       "dementia                  no                                                              38.5   \n",
        "                          yes                                                             33.3   \n",
-       "LD                        no                                                              37.7   \n",
-       "                          yes                                                             28.6   \n",
-       "ssri                      no                                                              37.5   \n",
-       "                          yes                                                                0   \n",
-       "chemo_or_radio            no                                                              37.7   \n",
-       "                          yes                                                                0   \n",
-       "lung_cancer               no                                                              37.5   \n",
+       "psychosis_schiz_bipolar   no                                                              38.5   \n",
        "                          yes                                                             33.3   \n",
-       "cancer_excl_lung_and_haem no                                                              37.3   \n",
-       "                          yes                                                               50   \n",
-       "haematological_cancer     no                                                              37.7   \n",
+       "LD                        no                                                              38.4   \n",
+       "                          yes                                                             37.5   \n",
+       "ssri                      no                                                              38.1   \n",
+       "                          yes                                                             66.7   \n",
+       "chemo_or_radio            no                                                              38.4   \n",
        "                          yes                                                                0   \n",
+       "lung_cancer               no                                                              38.6   \n",
+       "                          yes                                                               40   \n",
+       "cancer_excl_lung_and_haem no                                                              38.2   \n",
+       "                          yes                                                               50   \n",
+       "haematological_cancer     no                                                              38.1   \n",
+       "                          yes                                                             66.7   \n",
        "\n",
        "                                                              Uptake over last 7d (percent)  \\\n",
        "category                  group                                                               \n",
-       "overall                   overall                                                       2.9   \n",
-       "sex                       F                                                             3.2   \n",
-       "                          M                                                             2.7   \n",
-       "ethnicity_6_groups        Black                                                         1.9   \n",
-       "                          Mixed                                                         1.9   \n",
-       "                          Other                                                         3.8   \n",
-       "                          South Asian                                                   4.1   \n",
-       "                          Unknown                                                         2   \n",
-       "                          White                                                         4.2   \n",
+       "overall                   overall                                                       2.7   \n",
+       "sex                       F                                                             2.4   \n",
+       "                          M                                                             3.4   \n",
+       "ethnicity_6_groups        Black                                                         1.8   \n",
+       "                          Mixed                                                         1.8   \n",
+       "                          Other                                                         3.9   \n",
+       "                          South Asian                                                     0   \n",
+       "                          Unknown                                                       2.3   \n",
+       "                          White                                                         1.8   \n",
        "ethnicity_16_groups        African                                                      6.7   \n",
        "                           Bangladeshi or British Bangladeshi                             0   \n",
        "                           Caribbean                                                      0   \n",
-       "                           Chinese                                                        0   \n",
-       "                           Other                                                        5.6   \n",
-       "                           Other Asian                                                  6.3   \n",
+       "                           Chinese                                                      5.6   \n",
+       "                           Other                                                          0   \n",
+       "                           Other Asian                                                    0   \n",
        "                          British or Mixed British                                        0   \n",
-       "                          Indian or British Indian                                      6.2   \n",
-       "                          Irish                                                         6.7   \n",
-       "                          Other Black                                                     0   \n",
+       "                          Indian or British Indian                                        0   \n",
+       "                          Irish                                                         5.5   \n",
+       "                          Other Black                                                   5.5   \n",
        "                          Other White                                                   5.5   \n",
        "                          Other mixed                                                   6.3   \n",
        "                          Pakistani or British Pakistani                                  0   \n",
-       "                          Unknown                                                       2.1   \n",
-       "                          White + Asian                                                 5.9   \n",
-       "                          White + Black African                                         6.7   \n",
+       "                          Unknown                                                       4.3   \n",
+       "                          White + Asian                                                 5.3   \n",
+       "                          White + Black African                                           0   \n",
        "                          White + Black Caribbean                                         0   \n",
-       "imd_categories            1 Most deprived                                               3.5   \n",
-       "                          2                                                             1.7   \n",
-       "                          3                                                             3.4   \n",
+       "imd_categories            1 Most deprived                                                 3   \n",
+       "                          2                                                             1.8   \n",
+       "                          3                                                             3.5   \n",
        "                          4                                                             3.4   \n",
-       "                          5 Least deprived                                              3.2   \n",
-       "                          Unknown                                                         0   \n",
-       "bmi                       30+                                                             3   \n",
-       "                          under 30                                                      2.8   \n",
-       "chronic_cardiac_disease   no                                                            2.7   \n",
-       "                          yes                                                            25   \n",
-       "current_copd              no                                                              3   \n",
+       "                          5 Least deprived                                              3.3   \n",
+       "                          Unknown                                                       7.7   \n",
+       "bmi                       30+                                                           2.1   \n",
+       "                          under 30                                                      3.2   \n",
+       "chronic_cardiac_disease   no                                                            2.6   \n",
+       "                          yes                                                             0   \n",
+       "current_copd              no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "dmards                    no                                                            2.9   \n",
+       "dmards                    no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "dementia                  no                                                              3   \n",
+       "dementia                  no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                              3   \n",
+       "psychosis_schiz_bipolar   no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "LD                        no                                                            2.6   \n",
-       "                          yes                                                          14.3   \n",
-       "ssri                      no                                                              3   \n",
+       "LD                        no                                                            2.9   \n",
        "                          yes                                                             0   \n",
-       "chemo_or_radio            no                                                            2.6   \n",
+       "ssri                      no                                                            2.9   \n",
        "                          yes                                                             0   \n",
-       "lung_cancer               no                                                              3   \n",
+       "chemo_or_radio            no                                                            2.9   \n",
+       "                          yes                                                          33.3   \n",
+       "lung_cancer               no                                                            2.6   \n",
        "                          yes                                                             0   \n",
-       "cancer_excl_lung_and_haem no                                                              3   \n",
+       "cancer_excl_lung_and_haem no                                                            2.9   \n",
        "                          yes                                                             0   \n",
-       "haematological_cancer     no                                                              3   \n",
+       "haematological_cancer     no                                                            2.9   \n",
        "                          yes                                                             0   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  02-Jul  \n",
-       "sex                       F                                                        21-Jun  \n",
-       "                          M                                                        11-Jul  \n",
-       "ethnicity_6_groups        Black                                                    23-Aug  \n",
+       "overall                   overall                                                  03-Aug  \n",
+       "sex                       F                                                        19-Aug  \n",
+       "                          M                                                        08-Jul  \n",
+       "ethnicity_6_groups        Black                                                   unknown  \n",
        "                          Mixed                                                   unknown  \n",
-       "                          Other                                                    02-Jun  \n",
-       "                          South Asian                                              24-May  \n",
-       "                          Unknown                                                 unknown  \n",
-       "                          White                                                    24-May  \n",
-       "ethnicity_16_groups        African                                                 19-Apr  \n",
+       "                          Other                                                    30-Jun  \n",
+       "                          South Asian                                             unknown  \n",
+       "                          Unknown                                                  26-Aug  \n",
+       "                          White                                                   unknown  \n",
+       "ethnicity_16_groups        African                                                 21-May  \n",
        "                           Bangladeshi or British Bangladeshi                     unknown  \n",
        "                           Caribbean                                              unknown  \n",
-       "                           Chinese                                                unknown  \n",
-       "                           Other                                                   07-May  \n",
-       "                           Other Asian                                             02-May  \n",
+       "                           Chinese                                                 01-Jun  \n",
+       "                           Other                                                  unknown  \n",
+       "                           Other Asian                                            unknown  \n",
        "                          British or Mixed British                                unknown  \n",
-       "                          Indian or British Indian                                 19-Apr  \n",
-       "                          Irish                                                    19-Apr  \n",
-       "                          Other Black                                             unknown  \n",
-       "                          Other White                                              02-May  \n",
-       "                          Other mixed                                              02-May  \n",
+       "                          Indian or British Indian                                unknown  \n",
+       "                          Irish                                                    27-May  \n",
+       "                          Other Black                                              27-May  \n",
+       "                          Other White                                              27-May  \n",
+       "                          Other mixed                                              27-May  \n",
        "                          Pakistani or British Pakistani                          unknown  \n",
-       "                          Unknown                                                  17-Aug  \n",
-       "                          White + Asian                                            01-May  \n",
-       "                          White + Black African                                    26-Apr  \n",
+       "                          Unknown                                                  15-Jun  \n",
+       "                          White + Asian                                            25-May  \n",
+       "                          White + Black African                                   unknown  \n",
        "                          White + Black Caribbean                                 unknown  \n",
-       "imd_categories            1 Most deprived                                          15-Jun  \n",
+       "imd_categories            1 Most deprived                                          26-Jul  \n",
        "                          2                                                       unknown  \n",
-       "                          3                                                        12-Jun  \n",
-       "                          4                                                        18-Jun  \n",
-       "                          5 Least deprived                                         19-Jun  \n",
-       "                          Unknown                                                 unknown  \n",
-       "bmi                       30+                                                      04-Jul  \n",
-       "                          under 30                                                 04-Jul  \n",
-       "chronic_cardiac_disease   no                                                       11-Jul  \n",
-       "                          yes                                                      16-Mar  \n",
-       "current_copd              no                                                       28-Jun  \n",
+       "                          3                                                        03-Jul  \n",
+       "                          4                                                        06-Jul  \n",
+       "                          5 Least deprived                                         11-Jul  \n",
+       "                          Unknown                                                  08-May  \n",
+       "bmi                       30+                                                      07-Sep  \n",
+       "                          under 30                                                 14-Jul  \n",
+       "chronic_cardiac_disease   no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       02-Jul  \n",
+       "current_copd              no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "dementia                  no                                                       28-Jun  \n",
+       "dmards                    no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       28-Jun  \n",
+       "dementia                  no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "LD                        no                                                       16-Jul  \n",
-       "                          yes                                                      28-Mar  \n",
-       "ssri                      no                                                       28-Jun  \n",
+       "psychosis_schiz_bipolar   no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       16-Jul  \n",
+       "LD                        no                                                       25-Jul  \n",
        "                          yes                                                     unknown  \n",
-       "lung_cancer               no                                                       28-Jun  \n",
+       "ssri                      no                                                       26-Jul  \n",
        "                          yes                                                     unknown  \n",
-       "cancer_excl_lung_and_haem no                                                       28-Jun  \n",
+       "chemo_or_radio            no                                                       25-Jul  \n",
+       "                          yes                                                      10-Apr  \n",
+       "lung_cancer               no                                                       08-Aug  \n",
        "                          yes                                                     unknown  \n",
-       "haematological_cancer     no                                                       28-Jun  \n",
+       "cancer_excl_lung_and_haem no                                                       26-Jul  \n",
+       "                          yes                                                     unknown  \n",
+       "haematological_cancer     no                                                       26-Jul  \n",
        "                          yes                                                     unknown  "
       ]
      },
@@ -4619,7 +4859,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **LD (aged 16-64)** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **LD (aged 16-64)** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -4685,12 +4925,12 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>317</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>791</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>04-Jun</td>\n",
+       "      <td>324</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>784</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>14-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
@@ -4700,29 +4940,20 @@
        "      <td>392</td>\n",
        "      <td>35.7</td>\n",
        "      <td>3.6</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>06-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
        "      <td>168</td>\n",
        "      <td>42.1</td>\n",
        "      <td>399</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>50</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0-15</th>\n",
        "      <td>21</td>\n",
        "      <td>42.9</td>\n",
        "      <td>49</td>\n",
@@ -4731,28 +4962,37 @@
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>0-15</th>\n",
+       "      <td>14</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
+       "      <td>21</td>\n",
        "      <td>37.5</td>\n",
+       "      <td>56</td>\n",
+       "      <td>25</td>\n",
        "      <td>12.5</td>\n",
-       "      <td>27-Mar</td>\n",
+       "      <td>28-Apr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-34</th>\n",
-       "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>49</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>04-Apr</td>\n",
+       "      <td>21</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>16.7</td>\n",
+       "      <td>15-Apr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35-39</th>\n",
-       "      <td>28</td>\n",
+       "      <td>21</td>\n",
        "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
+       "      <td>42</td>\n",
        "      <td>50</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
@@ -4768,12 +5008,12 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>14.3</td>\n",
+       "      <td>22-Apr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</th>\n",
@@ -4786,28 +5026,28 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>12.5</td>\n",
-       "      <td>27-Mar</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-64</th>\n",
        "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>40</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>65-69</th>\n",
+       "      <th>60-64</th>\n",
        "      <td>21</td>\n",
        "      <td>42.9</td>\n",
        "      <td>49</td>\n",
-       "      <td>42.9</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>14.3</td>\n",
+       "      <td>22-Apr</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65-69</th>\n",
+       "      <td>14</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -4816,100 +5056,100 @@
        "      <td>21</td>\n",
        "      <td>42.9</td>\n",
        "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>14.3</td>\n",
-       "      <td>28-Mar</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
-       "      <td>14</td>\n",
-       "      <td>28.6</td>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>49</td>\n",
-       "      <td>28.6</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>7</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>35</td>\n",
-       "      <td>20</td>\n",
+       "      <td>21</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>42.9</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
-       "      <td>14</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>42</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>44.4</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90+</th>\n",
-       "      <td>14</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>42</td>\n",
+       "      <td>28</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>63</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>11.1</td>\n",
+       "      <td>27-Apr</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>35</td>\n",
-       "      <td>5</td>\n",
-       "      <td>14-May</td>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>133</td>\n",
+       "      <td>31.6</td>\n",
+       "      <td>5.2</td>\n",
+       "      <td>09-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>56</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>35</td>\n",
+       "      <td>27.8</td>\n",
        "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>27.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>56</td>\n",
-       "      <td>42.1</td>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
        "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>5.3</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>42</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>63</td>\n",
+       "      <td>47.4</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>25-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
        "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>5.6</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>46.7</td>\n",
+       "      <td>105</td>\n",
+       "      <td>40</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>14-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40</td>\n",
-       "      <td>5</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>70</td>\n",
+       "      <td>45.5</td>\n",
+       "      <td>154</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>05-Jun</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -4918,115 +5158,115 @@
       "text/plain": [
        "                                vaccinated  percent  total  \\\n",
        "category           group                                     \n",
-       "overall            overall             317     40.1    791   \n",
+       "overall            overall             324     41.3    784   \n",
        "sex                F                   154     39.3    392   \n",
        "                   M                   168     42.1    399   \n",
-       "ageband_5yr        0                    28     50.0     56   \n",
-       "                   0-15                 21     42.9     49   \n",
-       "                   16-29                28     50.0     56   \n",
-       "                   30-34                14     28.6     49   \n",
-       "                   35-39                28     50.0     56   \n",
+       "ageband_5yr        0                    21     42.9     49   \n",
+       "                   0-15                 14     33.3     42   \n",
+       "                   16-29                21     37.5     56   \n",
+       "                   30-34                21     50.0     42   \n",
+       "                   35-39                21     50.0     42   \n",
        "                   40-44                21     42.9     49   \n",
-       "                   45-49                28     44.4     63   \n",
+       "                   45-49                21     42.9     49   \n",
        "                   50-54                21     37.5     56   \n",
-       "                   55-59                28     50.0     56   \n",
-       "                   60-64                14     40.0     35   \n",
-       "                   65-69                21     42.9     49   \n",
+       "                   55-59                14     28.6     49   \n",
+       "                   60-64                21     42.9     49   \n",
+       "                   65-69                14     33.3     42   \n",
        "                   70-74                21     42.9     49   \n",
-       "                   75-79                14     28.6     49   \n",
-       "                   80-84                 7     20.0     35   \n",
-       "                   85-89                14     33.3     42   \n",
-       "                   90+                  14     33.3     42   \n",
-       "ethnicity_6_groups Black                56     40.0    140   \n",
-       "                   Mixed                56     44.4    126   \n",
-       "                   Other                56     42.1    133   \n",
-       "                   South Asian          42     33.3    126   \n",
-       "                   Unknown              49     38.9    126   \n",
-       "                   White                63     45.0    140   \n",
+       "                   75-79                21     42.9     49   \n",
+       "                   80-84                21     42.9     49   \n",
+       "                   85-89                28     44.4     63   \n",
+       "                   90+                  28     44.4     63   \n",
+       "ethnicity_6_groups Black                49     36.8    133   \n",
+       "                   Mixed                35     27.8    126   \n",
+       "                   Other                63     47.4    133   \n",
+       "                   South Asian          63     47.4    133   \n",
+       "                   Unknown              49     46.7    105   \n",
+       "                   White                70     45.5    154   \n",
        "\n",
        "                               vaccinated 7d previous (percent)  \\\n",
        "category           group                                          \n",
-       "overall            overall                                 36.3   \n",
+       "overall            overall                                 38.1   \n",
        "sex                F                                       35.7   \n",
-       "                   M                                       36.8   \n",
-       "ageband_5yr        0                                         50   \n",
-       "                   0-15                                    42.9   \n",
-       "                   16-29                                   37.5   \n",
-       "                   30-34                                   14.3   \n",
+       "                   M                                       40.4   \n",
+       "ageband_5yr        0                                       42.9   \n",
+       "                   0-15                                    33.3   \n",
+       "                   16-29                                     25   \n",
+       "                   30-34                                   33.3   \n",
        "                   35-39                                     50   \n",
        "                   40-44                                   42.9   \n",
-       "                   45-49                                   44.4   \n",
+       "                   45-49                                   28.6   \n",
        "                   50-54                                   37.5   \n",
-       "                   55-59                                   37.5   \n",
-       "                   60-64                                     40   \n",
-       "                   65-69                                   42.9   \n",
-       "                   70-74                                   28.6   \n",
-       "                   75-79                                   28.6   \n",
-       "                   80-84                                     20   \n",
-       "                   85-89                                   33.3   \n",
+       "                   55-59                                   28.6   \n",
+       "                   60-64                                   28.6   \n",
+       "                   65-69                                   33.3   \n",
+       "                   70-74                                   42.9   \n",
+       "                   75-79                                   42.9   \n",
+       "                   80-84                                   42.9   \n",
+       "                   85-89                                   44.4   \n",
        "                   90+                                     33.3   \n",
-       "ethnicity_6_groups Black                                     35   \n",
-       "                   Mixed                                   38.9   \n",
-       "                   Other                                   36.8   \n",
-       "                   South Asian                             33.3   \n",
-       "                   Unknown                                 33.3   \n",
-       "                   White                                     40   \n",
+       "ethnicity_6_groups Black                                   31.6   \n",
+       "                   Mixed                                   27.8   \n",
+       "                   Other                                   47.4   \n",
+       "                   South Asian                             42.1   \n",
+       "                   Unknown                                   40   \n",
+       "                   White                                   40.9   \n",
        "\n",
        "                               Uptake over last 7d (percent)  \\\n",
        "category           group                                       \n",
-       "overall            overall                               3.8   \n",
+       "overall            overall                               3.2   \n",
        "sex                F                                     3.6   \n",
-       "                   M                                     5.3   \n",
+       "                   M                                     1.7   \n",
        "ageband_5yr        0                                       0   \n",
        "                   0-15                                    0   \n",
        "                   16-29                                12.5   \n",
-       "                   30-34                                14.3   \n",
+       "                   30-34                                16.7   \n",
        "                   35-39                                   0   \n",
        "                   40-44                                   0   \n",
-       "                   45-49                                   0   \n",
+       "                   45-49                                14.3   \n",
        "                   50-54                                   0   \n",
-       "                   55-59                                12.5   \n",
-       "                   60-64                                   0   \n",
+       "                   55-59                                   0   \n",
+       "                   60-64                                14.3   \n",
        "                   65-69                                   0   \n",
-       "                   70-74                                14.3   \n",
+       "                   70-74                                   0   \n",
        "                   75-79                                   0   \n",
        "                   80-84                                   0   \n",
        "                   85-89                                   0   \n",
-       "                   90+                                     0   \n",
-       "ethnicity_6_groups Black                                   5   \n",
-       "                   Mixed                                 5.5   \n",
-       "                   Other                                 5.3   \n",
-       "                   South Asian                             0   \n",
-       "                   Unknown                               5.6   \n",
-       "                   White                                   5   \n",
+       "                   90+                                  11.1   \n",
+       "ethnicity_6_groups Black                                 5.2   \n",
+       "                   Mixed                                   0   \n",
+       "                   Other                                   0   \n",
+       "                   South Asian                           5.3   \n",
+       "                   Unknown                               6.7   \n",
+       "                   White                                 4.6   \n",
        "\n",
        "                               Date projected to reach 90%  \n",
        "category           group                                    \n",
-       "overall            overall                          04-Jun  \n",
-       "sex                F                                11-Jun  \n",
-       "                   M                                07-May  \n",
+       "overall            overall                          14-Jul  \n",
+       "sex                F                                06-Jul  \n",
+       "                   M                               unknown  \n",
        "ageband_5yr        0                               unknown  \n",
        "                   0-15                            unknown  \n",
-       "                   16-29                            27-Mar  \n",
-       "                   30-34                            04-Apr  \n",
+       "                   16-29                            28-Apr  \n",
+       "                   30-34                            15-Apr  \n",
        "                   35-39                           unknown  \n",
        "                   40-44                           unknown  \n",
-       "                   45-49                           unknown  \n",
+       "                   45-49                            22-Apr  \n",
        "                   50-54                           unknown  \n",
-       "                   55-59                            27-Mar  \n",
-       "                   60-64                           unknown  \n",
+       "                   55-59                           unknown  \n",
+       "                   60-64                            22-Apr  \n",
        "                   65-69                           unknown  \n",
-       "                   70-74                            28-Mar  \n",
+       "                   70-74                           unknown  \n",
        "                   75-79                           unknown  \n",
        "                   80-84                           unknown  \n",
        "                   85-89                           unknown  \n",
-       "                   90+                             unknown  \n",
-       "ethnicity_6_groups Black                            14-May  \n",
-       "                   Mixed                            02-May  \n",
-       "                   Other                            07-May  \n",
-       "                   South Asian                     unknown  \n",
-       "                   Unknown                          07-May  \n",
-       "                   White                            07-May  "
+       "                   90+                              27-Apr  \n",
+       "ethnicity_6_groups Black                            09-Jun  \n",
+       "                   Mixed                           unknown  \n",
+       "                   Other                           unknown  \n",
+       "                   South Asian                      25-May  \n",
+       "                   Unknown                          14-May  \n",
+       "                   White                            05-Jun  "
       ]
      },
      "metadata": {},
@@ -5047,7 +5287,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **60-64** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **60-64** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -5113,324 +5353,324 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>1009</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2576</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>17-Jun</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2632</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>06-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>497</td>\n",
-       "      <td>38.6</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>07-Jun</td>\n",
+       "      <td>532</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>1358</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
        "      <td>511</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>37</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>13-Jul</td>\n",
+       "      <td>40.1</td>\n",
+       "      <td>1274</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>04-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>161</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>420</td>\n",
-       "      <td>35</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>22-Jun</td>\n",
+       "      <td>175</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>441</td>\n",
+       "      <td>34.9</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>11-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>168</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>441</td>\n",
-       "      <td>34.9</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>154</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>406</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.7</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>203</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>476</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>2.9</td>\n",
-       "      <td>27-Jun</td>\n",
+       "      <td>175</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>469</td>\n",
+       "      <td>34.3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>168</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>462</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>04-Jul</td>\n",
+       "      <td>196</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>483</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>27-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>36</td>\n",
-       "      <td>4</td>\n",
-       "      <td>31-May</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>168</td>\n",
+       "      <td>161</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>392</td>\n",
        "      <td>39.3</td>\n",
-       "      <td>427</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>23-Jun</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White</th>\n",
+       "      <td>189</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>441</td>\n",
+       "      <td>41.3</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
        "      <td>42</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>112</td>\n",
-       "      <td>31.2</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>02-May</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>119</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>02-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5</td>\n",
+       "      <td>08-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>140</td>\n",
        "      <td>40</td>\n",
-       "      <td>5</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
        "      <td>56</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>154</td>\n",
-       "      <td>31.8</td>\n",
-       "      <td>4.6</td>\n",
-       "      <td>25-May</td>\n",
+       "      <td>47.1</td>\n",
+       "      <td>119</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>19-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>49</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>126</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>119</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>63</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40</td>\n",
+       "      <td>5</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>133</td>\n",
-       "      <td>36.8</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
        "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>19-May</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40</td>\n",
-       "      <td>5</td>\n",
-       "      <td>07-May</td>\n",
+       "      <td>49</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>133</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
        "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>168</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>25-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>49</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>112</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
-       "      <td>25-Apr</td>\n",
+       "      <td>56</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>42</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>70</td>\n",
+       "      <td>47.6</td>\n",
+       "      <td>147</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>4.7</td>\n",
+       "      <td>01-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
        "      <td>56</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>147</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>19-May</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>413</td>\n",
-       "      <td>37.3</td>\n",
+       "      <td>140</td>\n",
+       "      <td>34.5</td>\n",
+       "      <td>406</td>\n",
+       "      <td>32.8</td>\n",
        "      <td>1.7</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>49</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>147</td>\n",
-       "      <td>28.6</td>\n",
-       "      <td>4.7</td>\n",
-       "      <td>28-May</td>\n",
+       "      <td>63</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>154</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>14-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>5.2</td>\n",
-       "      <td>15-May</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White + Black Caribbean</th>\n",
        "      <td>56</td>\n",
        "      <td>38.1</td>\n",
        "      <td>147</td>\n",
        "      <td>33.3</td>\n",
        "      <td>4.8</td>\n",
-       "      <td>19-May</td>\n",
+       "      <td>13-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>63</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>161</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>20-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>182</td>\n",
-       "      <td>38.8</td>\n",
+       "      <td>203</td>\n",
+       "      <td>43.3</td>\n",
        "      <td>469</td>\n",
-       "      <td>34.3</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>23-May</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>203</td>\n",
-       "      <td>40.8</td>\n",
+       "      <td>196</td>\n",
+       "      <td>39.4</td>\n",
        "      <td>497</td>\n",
-       "      <td>38</td>\n",
+       "      <td>36.6</td>\n",
        "      <td>2.8</td>\n",
-       "      <td>06-Jul</td>\n",
+       "      <td>03-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>210</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>511</td>\n",
-       "      <td>37</td>\n",
-       "      <td>4.1</td>\n",
-       "      <td>27-May</td>\n",
+       "      <td>189</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>497</td>\n",
+       "      <td>35.2</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>07-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>196</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>525</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4</td>\n",
-       "      <td>05-Jun</td>\n",
+       "      <td>189</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>497</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>175</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>441</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>23-Jun</td>\n",
+       "      <td>203</td>\n",
+       "      <td>39.2</td>\n",
+       "      <td>518</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>49</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>133</td>\n",
-       "      <td>31.6</td>\n",
-       "      <td>5.2</td>\n",
-       "      <td>15-May</td>\n",
+       "      <td>63</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>147</td>\n",
+       "      <td>42.9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>294</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>777</td>\n",
-       "      <td>36</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>350</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>833</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>11-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>714</td>\n",
-       "      <td>39.7</td>\n",
+       "      <td>693</td>\n",
+       "      <td>38.5</td>\n",
        "      <td>1799</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>03-Jun</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>14-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -5444,145 +5684,924 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\n",
+       "      <td>1043</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>13-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>14-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
-       "      <td>21</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>50</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>66.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>33.4</td>\n",
-       "      <td>09-Mar</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>1008</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>21</td>\n",
-       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>2555</td>\n",
-       "      <td>35.9</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>7</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>21</td>\n",
-       "      <td>33.3</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">lung_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>1001</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>36</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2590</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>13-Sep</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1036</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>2597</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>05-Sep</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1029</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2604</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>14-Sep</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>14</td>\n",
        "      <td>50.0</td>\n",
        "      <td>28</td>\n",
+       "      <td>50</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                               vaccinated  \\\n",
+       "category                  group                                             \n",
+       "overall                   overall                                    1044   \n",
+       "sex                       F                                           532   \n",
+       "                          M                                           511   \n",
+       "ethnicity_6_groups        Black                                       175   \n",
+       "                          Mixed                                       154   \n",
+       "                          Other                                       175   \n",
+       "                          South Asian                                 196   \n",
+       "                          Unknown                                     161   \n",
+       "                          White                                       189   \n",
+       "ethnicity_16_groups        African                                     42   \n",
+       "                           Bangladeshi or British Bangladeshi          56   \n",
+       "                           Caribbean                                   56   \n",
+       "                           Chinese                                     56   \n",
+       "                           Other                                       56   \n",
+       "                           Other Asian                                 63   \n",
+       "                          British or Mixed British                     56   \n",
+       "                          Indian or British Indian                     56   \n",
+       "                          Irish                                        49   \n",
+       "                          Other Black                                  63   \n",
+       "                          Other White                                  56   \n",
+       "                          Other mixed                                  70   \n",
+       "                          Pakistani or British Pakistani               56   \n",
+       "                          Unknown                                     140   \n",
+       "                          White + Asian                                63   \n",
+       "                          White + Black African                        56   \n",
+       "                          White + Black Caribbean                      63   \n",
+       "imd_categories            1 Most deprived                             203   \n",
+       "                          2                                           196   \n",
+       "                          3                                           189   \n",
+       "                          4                                           189   \n",
+       "                          5 Least deprived                            203   \n",
+       "                          Unknown                                      63   \n",
+       "bmi                       30+                                         350   \n",
+       "                          under 30                                    693   \n",
+       "chronic_cardiac_disease   no                                         1029   \n",
+       "                          yes                                          14   \n",
+       "current_copd              no                                         1043   \n",
+       "                          yes                                           0   \n",
+       "dmards                    no                                         1036   \n",
+       "                          yes                                           7   \n",
+       "dementia                  no                                         1029   \n",
+       "                          yes                                          14   \n",
+       "psychosis_schiz_bipolar   no                                         1036   \n",
+       "                          yes                                           0   \n",
+       "ssri                      no                                         1036   \n",
+       "                          yes                                           7   \n",
+       "chemo_or_radio            no                                         1036   \n",
+       "                          yes                                           7   \n",
+       "lung_cancer               no                                         1029   \n",
+       "                          yes                                          14   \n",
+       "cancer_excl_lung_and_haem no                                         1036   \n",
+       "                          yes                                           7   \n",
+       "haematological_cancer     no                                         1029   \n",
+       "                          yes                                          14   \n",
+       "\n",
+       "                                                               percent  total  \\\n",
+       "category                  group                                                 \n",
+       "overall                   overall                                 39.7   2632   \n",
+       "sex                       F                                       39.2   1358   \n",
+       "                          M                                       40.1   1274   \n",
+       "ethnicity_6_groups        Black                                   39.7    441   \n",
+       "                          Mixed                                   37.9    406   \n",
+       "                          Other                                   37.3    469   \n",
+       "                          South Asian                             40.6    483   \n",
+       "                          Unknown                                 41.1    392   \n",
+       "                          White                                   42.9    441   \n",
+       "ethnicity_16_groups        African                                35.3    119   \n",
+       "                           Bangladeshi or British Bangladeshi     40.0    140   \n",
+       "                           Caribbean                              40.0    140   \n",
+       "                           Chinese                                47.1    119   \n",
+       "                           Other                                  42.1    133   \n",
+       "                           Other Asian                            45.0    140   \n",
+       "                          British or Mixed British                42.1    133   \n",
+       "                          Indian or British Indian                44.4    126   \n",
+       "                          Irish                                   36.8    133   \n",
+       "                          Other Black                             37.5    168   \n",
+       "                          Other White                             44.4    126   \n",
+       "                          Other mixed                             47.6    147   \n",
+       "                          Pakistani or British Pakistani          42.1    133   \n",
+       "                          Unknown                                 34.5    406   \n",
+       "                          White + Asian                           40.9    154   \n",
+       "                          White + Black African                   38.1    147   \n",
+       "                          White + Black Caribbean                 39.1    161   \n",
+       "imd_categories            1 Most deprived                         43.3    469   \n",
+       "                          2                                       39.4    497   \n",
+       "                          3                                       38.0    497   \n",
+       "                          4                                       38.0    497   \n",
+       "                          5 Least deprived                        39.2    518   \n",
+       "                          Unknown                                 42.9    147   \n",
+       "bmi                       30+                                     42.0    833   \n",
+       "                          under 30                                38.5   1799   \n",
+       "chronic_cardiac_disease   no                                      39.5   2604   \n",
+       "                          yes                                     66.7     21   \n",
+       "current_copd              no                                      39.9   2611   \n",
+       "                          yes                                      0.0     21   \n",
+       "dmards                    no                                      39.9   2597   \n",
+       "                          yes                                     25.0     28   \n",
+       "dementia                  no                                      39.5   2604   \n",
+       "                          yes                                     50.0     28   \n",
+       "psychosis_schiz_bipolar   no                                      39.8   2604   \n",
+       "                          yes                                      0.0     21   \n",
+       "ssri                      no                                      39.9   2597   \n",
+       "                          yes                                     25.0     28   \n",
+       "chemo_or_radio            no                                      39.8   2604   \n",
+       "                          yes                                     25.0     28   \n",
+       "lung_cancer               no                                      39.7   2590   \n",
+       "                          yes                                     40.0     35   \n",
+       "cancer_excl_lung_and_haem no                                      39.9   2597   \n",
+       "                          yes                                     25.0     28   \n",
+       "haematological_cancer     no                                      39.5   2604   \n",
+       "                          yes                                     50.0     28   \n",
+       "\n",
+       "                                                              vaccinated 7d previous (percent)  \\\n",
+       "category                  group                                                                  \n",
+       "overall                   overall                                                         37.5   \n",
+       "sex                       F                                                               37.6   \n",
+       "                          M                                                               37.9   \n",
+       "ethnicity_6_groups        Black                                                           34.9   \n",
+       "                          Mixed                                                           36.2   \n",
+       "                          Other                                                           34.3   \n",
+       "                          South Asian                                                     37.7   \n",
+       "                          Unknown                                                         39.3   \n",
+       "                          White                                                           41.3   \n",
+       "ethnicity_16_groups        African                                                        29.4   \n",
+       "                           Bangladeshi or British Bangladeshi                               35   \n",
+       "                           Caribbean                                                        40   \n",
+       "                           Chinese                                                        41.2   \n",
+       "                           Other                                                          36.8   \n",
+       "                           Other Asian                                                      40   \n",
+       "                          British or Mixed British                                        42.1   \n",
+       "                          Indian or British Indian                                        44.4   \n",
+       "                          Irish                                                           36.8   \n",
+       "                          Other Black                                                     33.3   \n",
+       "                          Other White                                                     44.4   \n",
+       "                          Other mixed                                                     42.9   \n",
+       "                          Pakistani or British Pakistani                                  42.1   \n",
+       "                          Unknown                                                         32.8   \n",
+       "                          White + Asian                                                   36.4   \n",
+       "                          White + Black African                                           33.3   \n",
+       "                          White + Black Caribbean                                         34.8   \n",
+       "imd_categories            1 Most deprived                                                 40.3   \n",
+       "                          2                                                               36.6   \n",
+       "                          3                                                               35.2   \n",
+       "                          4                                                               36.6   \n",
+       "                          5 Least deprived                                                37.8   \n",
+       "                          Unknown                                                         42.9   \n",
+       "bmi                       30+                                                             39.5   \n",
+       "                          under 30                                                        36.6   \n",
+       "chronic_cardiac_disease   no                                                              37.4   \n",
+       "                          yes                                                             66.7   \n",
+       "current_copd              no                                                              37.8   \n",
+       "                          yes                                                                0   \n",
+       "dmards                    no                                                              37.7   \n",
+       "                          yes                                                               25   \n",
+       "dementia                  no                                                              37.4   \n",
+       "                          yes                                                               50   \n",
+       "psychosis_schiz_bipolar   no                                                              37.6   \n",
+       "                          yes                                                                0   \n",
+       "ssri                      no                                                              37.7   \n",
+       "                          yes                                                               25   \n",
+       "chemo_or_radio            no                                                              37.6   \n",
+       "                          yes                                                               25   \n",
+       "lung_cancer               no                                                              37.6   \n",
+       "                          yes                                                               40   \n",
+       "cancer_excl_lung_and_haem no                                                              37.7   \n",
+       "                          yes                                                               25   \n",
+       "haematological_cancer     no                                                              37.4   \n",
+       "                          yes                                                               50   \n",
+       "\n",
+       "                                                              Uptake over last 7d (percent)  \\\n",
+       "category                  group                                                               \n",
+       "overall                   overall                                                       2.2   \n",
+       "sex                       F                                                             1.6   \n",
+       "                          M                                                             2.2   \n",
+       "ethnicity_6_groups        Black                                                         4.8   \n",
+       "                          Mixed                                                         1.7   \n",
+       "                          Other                                                           3   \n",
+       "                          South Asian                                                   2.9   \n",
+       "                          Unknown                                                       1.8   \n",
+       "                          White                                                         1.6   \n",
+       "ethnicity_16_groups        African                                                      5.9   \n",
+       "                           Bangladeshi or British Bangladeshi                             5   \n",
+       "                           Caribbean                                                      0   \n",
+       "                           Chinese                                                      5.9   \n",
+       "                           Other                                                        5.3   \n",
+       "                           Other Asian                                                    5   \n",
+       "                          British or Mixed British                                        0   \n",
+       "                          Indian or British Indian                                        0   \n",
+       "                          Irish                                                           0   \n",
+       "                          Other Black                                                   4.2   \n",
+       "                          Other White                                                     0   \n",
+       "                          Other mixed                                                   4.7   \n",
+       "                          Pakistani or British Pakistani                                  0   \n",
+       "                          Unknown                                                       1.7   \n",
+       "                          White + Asian                                                 4.5   \n",
+       "                          White + Black African                                         4.8   \n",
+       "                          White + Black Caribbean                                       4.3   \n",
+       "imd_categories            1 Most deprived                                                 3   \n",
+       "                          2                                                             2.8   \n",
+       "                          3                                                             2.8   \n",
+       "                          4                                                             1.4   \n",
+       "                          5 Least deprived                                              1.4   \n",
+       "                          Unknown                                                         0   \n",
+       "bmi                       30+                                                           2.5   \n",
+       "                          under 30                                                      1.9   \n",
+       "chronic_cardiac_disease   no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "current_copd              no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "dmards                    no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "dementia                  no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "psychosis_schiz_bipolar   no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "ssri                      no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "chemo_or_radio            no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "lung_cancer               no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "cancer_excl_lung_and_haem no                                                            2.2   \n",
+       "                          yes                                                             0   \n",
+       "haematological_cancer     no                                                            2.1   \n",
+       "                          yes                                                             0   \n",
+       "\n",
+       "                                                              Date projected to reach 90%  \n",
+       "category                  group                                                            \n",
+       "overall                   overall                                                  06-Sep  \n",
+       "sex                       F                                                       unknown  \n",
+       "                          M                                                        04-Sep  \n",
+       "ethnicity_6_groups        Black                                                    11-Jun  \n",
+       "                          Mixed                                                   unknown  \n",
+       "                          Other                                                    30-Jul  \n",
+       "                          South Asian                                              27-Jul  \n",
+       "                          Unknown                                                 unknown  \n",
+       "                          White                                                   unknown  \n",
+       "ethnicity_16_groups        African                                                 02-Jun  \n",
+       "                           Bangladeshi or British Bangladeshi                      08-Jun  \n",
+       "                           Caribbean                                              unknown  \n",
+       "                           Chinese                                                 19-May  \n",
+       "                           Other                                                   01-Jun  \n",
+       "                           Other Asian                                             01-Jun  \n",
+       "                          British or Mixed British                                unknown  \n",
+       "                          Indian or British Indian                                unknown  \n",
+       "                          Irish                                                   unknown  \n",
+       "                          Other Black                                              25-Jun  \n",
+       "                          Other White                                             unknown  \n",
+       "                          Other mixed                                              01-Jun  \n",
+       "                          Pakistani or British Pakistani                          unknown  \n",
+       "                          Unknown                                                 unknown  \n",
+       "                          White + Asian                                            14-Jun  \n",
+       "                          White + Black African                                    13-Jun  \n",
+       "                          White + Black Caribbean                                  20-Jun  \n",
+       "imd_categories            1 Most deprived                                          16-Jul  \n",
+       "                          2                                                        03-Aug  \n",
+       "                          3                                                        07-Aug  \n",
+       "                          4                                                       unknown  \n",
+       "                          5 Least deprived                                        unknown  \n",
+       "                          Unknown                                                 unknown  \n",
+       "bmi                       30+                                                      11-Aug  \n",
+       "                          under 30                                                unknown  \n",
+       "chronic_cardiac_disease   no                                                       14-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "current_copd              no                                                       13-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "dmards                    no                                                       05-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "dementia                  no                                                       14-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "psychosis_schiz_bipolar   no                                                       05-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "ssri                      no                                                       05-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "chemo_or_radio            no                                                       05-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "lung_cancer               no                                                       13-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "cancer_excl_lung_and_haem no                                                       05-Sep  \n",
+       "                          yes                                                     unknown  \n",
+       "haematological_cancer     no                                                       14-Sep  \n",
+       "                          yes                                                     unknown  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "## "
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "## COVID vaccination rollout among **55-59** population up to 30 Mar 2021"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "- 'Date projected to reach 90%' being 'unknown' indicates projection of >6mo (likely insufficient information)\n",
+       "- Patient counts rounded to the nearest 7"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>vaccinated</th>\n",
+       "      <th>percent</th>\n",
+       "      <th>total</th>\n",
+       "      <th>vaccinated 7d previous (percent)</th>\n",
+       "      <th>Uptake over last 7d (percent)</th>\n",
+       "      <th>Date projected to reach 90%</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>category</th>\n",
+       "      <th>group</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>overall</th>\n",
+       "      <th>overall</th>\n",
+       "      <td>1300</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>3136</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>02-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
+       "      <th>F</th>\n",
+       "      <td>707</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>1645</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>22-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M</th>\n",
+       "      <td>595</td>\n",
+       "      <td>39.9</td>\n",
+       "      <td>1491</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
+       "      <th>Black</th>\n",
+       "      <td>217</td>\n",
+       "      <td>40.8</td>\n",
+       "      <td>532</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>09-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Mixed</th>\n",
+       "      <td>210</td>\n",
+       "      <td>41.1</td>\n",
+       "      <td>511</td>\n",
+       "      <td>38.4</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>03-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>231</td>\n",
+       "      <td>43.4</td>\n",
+       "      <td>532</td>\n",
+       "      <td>40.8</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>02-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>252</td>\n",
+       "      <td>42.4</td>\n",
+       "      <td>595</td>\n",
+       "      <td>40</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>15-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>189</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>455</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21-Jul</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White</th>\n",
+       "      <td>203</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>504</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>01-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
+       "      <th>African</th>\n",
+       "      <td>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>32</td>\n",
+       "      <td>4</td>\n",
+       "      <td>02-Jul</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bangladeshi or British Bangladeshi</th>\n",
+       "      <td>56</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>30.4</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>25-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Caribbean</th>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>44</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chinese</th>\n",
+       "      <td>77</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>40</td>\n",
+       "      <td>4</td>\n",
+       "      <td>18-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other</th>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>13-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Asian</th>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>13-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>British or Mixed British</th>\n",
+       "      <td>56</td>\n",
+       "      <td>34.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>30.4</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>25-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indian or British Indian</th>\n",
+       "      <td>84</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>48</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Irish</th>\n",
+       "      <td>84</td>\n",
+       "      <td>46.2</td>\n",
+       "      <td>182</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>16-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other Black</th>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>18-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other White</th>\n",
+       "      <td>84</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>189</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>24-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Other mixed</th>\n",
+       "      <td>56</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>140</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5</td>\n",
+       "      <td>08-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</th>\n",
+       "      <td>63</td>\n",
+       "      <td>40.9</td>\n",
+       "      <td>154</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>14-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>182</td>\n",
+       "      <td>37.7</td>\n",
+       "      <td>483</td>\n",
+       "      <td>36.2</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Asian</th>\n",
+       "      <td>77</td>\n",
+       "      <td>45.8</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>13-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black African</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>133</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>01-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>77</td>\n",
+       "      <td>47.8</td>\n",
+       "      <td>161</td>\n",
+       "      <td>43.5</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>06-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>238</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>595</td>\n",
+       "      <td>37.6</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>22-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>252</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>602</td>\n",
+       "      <td>39.5</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>17-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>252</td>\n",
+       "      <td>43.4</td>\n",
+       "      <td>581</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>28-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>245</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>637</td>\n",
+       "      <td>36.3</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>09-Sep</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5 Least deprived</th>\n",
+       "      <td>238</td>\n",
+       "      <td>44.7</td>\n",
+       "      <td>532</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>29-Jul</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Unknown</th>\n",
+       "      <td>77</td>\n",
+       "      <td>42.3</td>\n",
+       "      <td>182</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>25-Jun</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
+       "      <th>30+</th>\n",
+       "      <td>392</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>952</td>\n",
+       "      <td>39</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>01-Sep</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>under 30</th>\n",
+       "      <td>910</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>2184</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>24-Jul</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>03-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>3101</td>\n",
+       "      <td>38.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>02-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
+       "      <th>no</th>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>03-Aug</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>28</td>\n",
        "      <td>25</td>\n",
-       "      <td>25</td>\n",
-       "      <td>16-Mar</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>1281</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>13-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -5594,14 +6613,14 @@
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>994</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>21-Jun</td>\n",
+       "      <td>1288</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3108</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>03-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -5617,290 +6636,240 @@
        "</div>"
       ],
       "text/plain": [
-       "                                                               vaccinated  \\\n",
-       "category                  group                                             \n",
-       "overall                   overall                                    1009   \n",
-       "sex                       F                                           497   \n",
-       "                          M                                           511   \n",
-       "ethnicity_6_groups        Black                                       161   \n",
-       "                          Mixed                                       168   \n",
-       "                          Other                                       203   \n",
-       "                          South Asian                                 168   \n",
-       "                          Unknown                                     140   \n",
-       "                          White                                       168   \n",
-       "ethnicity_16_groups        African                                     42   \n",
-       "                           Bangladeshi or British Bangladeshi          49   \n",
-       "                           Caribbean                                   63   \n",
-       "                           Chinese                                     56   \n",
-       "                           Other                                       49   \n",
-       "                           Other Asian                                 49   \n",
-       "                          British or Mixed British                     49   \n",
-       "                          Indian or British Indian                     56   \n",
-       "                          Irish                                        63   \n",
-       "                          Other Black                                  63   \n",
-       "                          Other White                                  49   \n",
-       "                          Other mixed                                  42   \n",
-       "                          Pakistani or British Pakistani               56   \n",
-       "                          Unknown                                     161   \n",
-       "                          White + Asian                                49   \n",
-       "                          White + Black African                        49   \n",
-       "                          White + Black Caribbean                      56   \n",
-       "imd_categories            1 Most deprived                             182   \n",
-       "                          2                                           203   \n",
-       "                          3                                           210   \n",
-       "                          4                                           196   \n",
-       "                          5 Least deprived                            175   \n",
-       "                          Unknown                                      49   \n",
-       "bmi                       30+                                         294   \n",
-       "                          under 30                                    714   \n",
-       "chronic_cardiac_disease   no                                          994   \n",
-       "                          yes                                          14   \n",
-       "current_copd              no                                         1001   \n",
-       "                          yes                                           7   \n",
-       "dmards                    no                                         1001   \n",
-       "                          yes                                           7   \n",
-       "dementia                  no                                          994   \n",
-       "                          yes                                          14   \n",
-       "psychosis_schiz_bipolar   no                                          994   \n",
-       "                          yes                                          14   \n",
-       "ssri                      no                                         1008   \n",
-       "                          yes                                           0   \n",
-       "chemo_or_radio            no                                         1001   \n",
-       "                          yes                                           7   \n",
-       "lung_cancer               no                                         1001   \n",
-       "                          yes                                          14   \n",
-       "cancer_excl_lung_and_haem no                                          994   \n",
-       "                          yes                                          14   \n",
-       "haematological_cancer     no                                          994   \n",
-       "                          yes                                          14   \n",
+       "                                                             vaccinated  \\\n",
+       "category                group                                             \n",
+       "overall                 overall                                    1300   \n",
+       "sex                     F                                           707   \n",
+       "                        M                                           595   \n",
+       "ethnicity_6_groups      Black                                       217   \n",
+       "                        Mixed                                       210   \n",
+       "                        Other                                       231   \n",
+       "                        South Asian                                 252   \n",
+       "                        Unknown                                     189   \n",
+       "                        White                                       203   \n",
+       "ethnicity_16_groups      African                                     63   \n",
+       "                         Bangladeshi or British Bangladeshi          56   \n",
+       "                         Caribbean                                   77   \n",
+       "                         Chinese                                     77   \n",
+       "                         Other                                       77   \n",
+       "                         Other Asian                                 77   \n",
+       "                        British or Mixed British                     56   \n",
+       "                        Indian or British Indian                     84   \n",
+       "                        Irish                                        84   \n",
+       "                        Other Black                                  70   \n",
+       "                        Other White                                  84   \n",
+       "                        Other mixed                                  56   \n",
+       "                        Pakistani or British Pakistani               63   \n",
+       "                        Unknown                                     182   \n",
+       "                        White + Asian                                77   \n",
+       "                        White + Black African                        56   \n",
+       "                        White + Black Caribbean                      77   \n",
+       "imd_categories          1 Most deprived                             238   \n",
+       "                        2                                           252   \n",
+       "                        3                                           252   \n",
+       "                        4                                           245   \n",
+       "                        5 Least deprived                            238   \n",
+       "                        Unknown                                      77   \n",
+       "bmi                     30+                                         392   \n",
+       "                        under 30                                    910   \n",
+       "chronic_cardiac_disease no                                         1288   \n",
+       "                        yes                                           7   \n",
+       "current_copd            no                                         1288   \n",
+       "                        yes                                          14   \n",
+       "dmards                  no                                         1288   \n",
+       "                        yes                                           7   \n",
+       "psychosis_schiz_bipolar no                                         1281   \n",
+       "                        yes                                          14   \n",
+       "ssri                    no                                         1288   \n",
+       "                        yes                                          14   \n",
        "\n",
-       "                                                               percent  total  \\\n",
-       "category                  group                                                 \n",
-       "overall                   overall                                 39.2   2576   \n",
-       "sex                       F                                       38.6   1288   \n",
-       "                          M                                       39.7   1288   \n",
-       "ethnicity_6_groups        Black                                   38.3    420   \n",
-       "                          Mixed                                   38.1    441   \n",
-       "                          Other                                   42.6    476   \n",
-       "                          South Asian                             36.4    462   \n",
-       "                          Unknown                                 40.0    350   \n",
-       "                          White                                   39.3    427   \n",
-       "ethnicity_16_groups        African                                37.5    112   \n",
-       "                           Bangladeshi or British Bangladeshi     36.8    133   \n",
-       "                           Caribbean                              45.0    140   \n",
-       "                           Chinese                                36.4    154   \n",
-       "                           Other                                  38.9    126   \n",
-       "                           Other Asian                            41.2    119   \n",
-       "                          British or Mixed British                36.8    133   \n",
-       "                          Indian or British Indian                38.1    147   \n",
-       "                          Irish                                   45.0    140   \n",
-       "                          Other Black                             42.9    147   \n",
-       "                          Other White                             43.8    112   \n",
-       "                          Other mixed                             31.6    133   \n",
-       "                          Pakistani or British Pakistani          38.1    147   \n",
-       "                          Unknown                                 39.0    413   \n",
-       "                          White + Asian                           33.3    147   \n",
-       "                          White + Black African                   36.8    133   \n",
-       "                          White + Black Caribbean                 38.1    147   \n",
-       "imd_categories            1 Most deprived                         38.8    469   \n",
-       "                          2                                       40.8    497   \n",
-       "                          3                                       41.1    511   \n",
-       "                          4                                       37.3    525   \n",
-       "                          5 Least deprived                        39.7    441   \n",
-       "                          Unknown                                 36.8    133   \n",
-       "bmi                       30+                                     37.8    777   \n",
-       "                          under 30                                39.7   1799   \n",
-       "chronic_cardiac_disease   no                                      38.9   2555   \n",
-       "                          yes                                     66.7     21   \n",
-       "current_copd              no                                      39.2   2555   \n",
-       "                          yes                                     33.3     21   \n",
-       "dmards                    no                                      39.2   2555   \n",
-       "                          yes                                     33.3     21   \n",
-       "dementia                  no                                      38.9   2555   \n",
-       "                          yes                                     66.7     21   \n",
-       "psychosis_schiz_bipolar   no                                      38.9   2555   \n",
-       "                          yes                                     66.7     21   \n",
-       "ssri                      no                                      39.5   2555   \n",
-       "                          yes                                      0.0     21   \n",
-       "chemo_or_radio            no                                      39.2   2555   \n",
-       "                          yes                                     33.3     21   \n",
-       "lung_cancer               no                                      39.3   2548   \n",
-       "                          yes                                     50.0     28   \n",
-       "cancer_excl_lung_and_haem no                                      39.0   2548   \n",
-       "                          yes                                     50.0     28   \n",
-       "haematological_cancer     no                                      39.0   2548   \n",
-       "                          yes                                     50.0     28   \n",
+       "                                                             percent  total  \\\n",
+       "category                group                                                 \n",
+       "overall                 overall                                 41.5   3136   \n",
+       "sex                     F                                       43.0   1645   \n",
+       "                        M                                       39.9   1491   \n",
+       "ethnicity_6_groups      Black                                   40.8    532   \n",
+       "                        Mixed                                   41.1    511   \n",
+       "                        Other                                   43.4    532   \n",
+       "                        South Asian                             42.4    595   \n",
+       "                        Unknown                                 41.5    455   \n",
+       "                        White                                   40.3    504   \n",
+       "ethnicity_16_groups      African                                36.0    175   \n",
+       "                         Bangladeshi or British Bangladeshi     34.8    161   \n",
+       "                         Caribbean                              44.0    175   \n",
+       "                         Chinese                                44.0    175   \n",
+       "                         Other                                  45.8    168   \n",
+       "                         Other Asian                            45.8    168   \n",
+       "                        British or Mixed British                34.8    161   \n",
+       "                        Indian or British Indian                48.0    175   \n",
+       "                        Irish                                   46.2    182   \n",
+       "                        Other Black                             41.7    168   \n",
+       "                        Other White                             44.4    189   \n",
+       "                        Other mixed                             40.0    140   \n",
+       "                        Pakistani or British Pakistani          40.9    154   \n",
+       "                        Unknown                                 37.7    483   \n",
+       "                        White + Asian                           45.8    168   \n",
+       "                        White + Black African                   42.1    133   \n",
+       "                        White + Black Caribbean                 47.8    161   \n",
+       "imd_categories          1 Most deprived                         40.0    595   \n",
+       "                        2                                       41.9    602   \n",
+       "                        3                                       43.4    581   \n",
+       "                        4                                       38.5    637   \n",
+       "                        5 Least deprived                        44.7    532   \n",
+       "                        Unknown                                 42.3    182   \n",
+       "bmi                     30+                                     41.2    952   \n",
+       "                        under 30                                41.7   2184   \n",
+       "chronic_cardiac_disease no                                      41.4   3108   \n",
+       "                        yes                                     25.0     28   \n",
+       "current_copd            no                                      41.5   3101   \n",
+       "                        yes                                     40.0     35   \n",
+       "dmards                  no                                      41.4   3108   \n",
+       "                        yes                                     25.0     28   \n",
+       "psychosis_schiz_bipolar no                                      41.2   3108   \n",
+       "                        yes                                     50.0     28   \n",
+       "ssri                    no                                      41.4   3108   \n",
+       "                        yes                                     50.0     28   \n",
        "\n",
-       "                                                              vaccinated 7d previous (percent)  \\\n",
-       "category                  group                                                                  \n",
-       "overall                   overall                                                         35.8   \n",
-       "sex                       F                                                               34.8   \n",
-       "                          M                                                                 37   \n",
-       "ethnicity_6_groups        Black                                                             35   \n",
-       "                          Mixed                                                           34.9   \n",
-       "                          Other                                                           39.7   \n",
-       "                          South Asian                                                     33.3   \n",
-       "                          Unknown                                                           36   \n",
-       "                          White                                                           36.1   \n",
-       "ethnicity_16_groups        African                                                        31.2   \n",
-       "                           Bangladeshi or British Bangladeshi                             36.8   \n",
-       "                           Caribbean                                                        40   \n",
-       "                           Chinese                                                        31.8   \n",
-       "                           Other                                                          38.9   \n",
-       "                           Other Asian                                                    41.2   \n",
-       "                          British or Mixed British                                        36.8   \n",
-       "                          Indian or British Indian                                        33.3   \n",
-       "                          Irish                                                             40   \n",
-       "                          Other Black                                                     42.9   \n",
-       "                          Other White                                                     37.5   \n",
-       "                          Other mixed                                                     31.6   \n",
-       "                          Pakistani or British Pakistani                                  33.3   \n",
-       "                          Unknown                                                         37.3   \n",
-       "                          White + Asian                                                   28.6   \n",
-       "                          White + Black African                                           31.6   \n",
-       "                          White + Black Caribbean                                         33.3   \n",
-       "imd_categories            1 Most deprived                                                 34.3   \n",
-       "                          2                                                                 38   \n",
-       "                          3                                                                 37   \n",
-       "                          4                                                               33.3   \n",
-       "                          5 Least deprived                                                36.5   \n",
-       "                          Unknown                                                         31.6   \n",
-       "bmi                       30+                                                               36   \n",
-       "                          under 30                                                        35.8   \n",
-       "chronic_cardiac_disease   no                                                              35.6   \n",
-       "                          yes                                                             66.7   \n",
-       "current_copd              no                                                              35.9   \n",
-       "                          yes                                                             33.3   \n",
-       "dmards                    no                                                              35.6   \n",
-       "                          yes                                                             33.3   \n",
-       "dementia                  no                                                              35.6   \n",
-       "                          yes                                                             66.7   \n",
-       "psychosis_schiz_bipolar   no                                                              35.6   \n",
-       "                          yes                                                             33.3   \n",
-       "ssri                      no                                                              35.9   \n",
-       "                          yes                                                                0   \n",
-       "chemo_or_radio            no                                                              35.9   \n",
-       "                          yes                                                             33.3   \n",
-       "lung_cancer               no                                                                36   \n",
-       "                          yes                                                               25   \n",
-       "cancer_excl_lung_and_haem no                                                              35.7   \n",
-       "                          yes                                                               50   \n",
-       "haematological_cancer     no                                                              35.7   \n",
-       "                          yes                                                               50   \n",
+       "                                                            vaccinated 7d previous (percent)  \\\n",
+       "category                group                                                                  \n",
+       "overall                 overall                                                         38.8   \n",
+       "sex                     F                                                               39.1   \n",
+       "                        M                                                               38.5   \n",
+       "ethnicity_6_groups      Black                                                           38.2   \n",
+       "                        Mixed                                                           38.4   \n",
+       "                        Other                                                           40.8   \n",
+       "                        South Asian                                                       40   \n",
+       "                        Unknown                                                         38.5   \n",
+       "                        White                                                           37.5   \n",
+       "ethnicity_16_groups      African                                                          32   \n",
+       "                         Bangladeshi or British Bangladeshi                             30.4   \n",
+       "                         Caribbean                                                        44   \n",
+       "                         Chinese                                                          40   \n",
+       "                         Other                                                          41.7   \n",
+       "                         Other Asian                                                    41.7   \n",
+       "                        British or Mixed British                                        30.4   \n",
+       "                        Indian or British Indian                                          48   \n",
+       "                        Irish                                                           42.3   \n",
+       "                        Other Black                                                     37.5   \n",
+       "                        Other White                                                     40.7   \n",
+       "                        Other mixed                                                       35   \n",
+       "                        Pakistani or British Pakistani                                  36.4   \n",
+       "                        Unknown                                                         36.2   \n",
+       "                        White + Asian                                                   41.7   \n",
+       "                        White + Black African                                           36.8   \n",
+       "                        White + Black Caribbean                                         43.5   \n",
+       "imd_categories          1 Most deprived                                                 37.6   \n",
+       "                        2                                                               39.5   \n",
+       "                        3                                                               39.8   \n",
+       "                        4                                                               36.3   \n",
+       "                        5 Least deprived                                                42.1   \n",
+       "                        Unknown                                                         38.5   \n",
+       "bmi                     30+                                                               39   \n",
+       "                        under 30                                                        38.8   \n",
+       "chronic_cardiac_disease no                                                              38.7   \n",
+       "                        yes                                                               25   \n",
+       "current_copd            no                                                              38.8   \n",
+       "                        yes                                                               40   \n",
+       "dmards                  no                                                              38.7   \n",
+       "                        yes                                                               25   \n",
+       "psychosis_schiz_bipolar no                                                              38.7   \n",
+       "                        yes                                                               50   \n",
+       "ssri                    no                                                              38.7   \n",
+       "                        yes                                                               50   \n",
        "\n",
-       "                                                              Uptake over last 7d (percent)  \\\n",
-       "category                  group                                                               \n",
-       "overall                   overall                                                       3.4   \n",
-       "sex                       F                                                             3.8   \n",
-       "                          M                                                             2.7   \n",
-       "ethnicity_6_groups        Black                                                         3.3   \n",
-       "                          Mixed                                                         3.2   \n",
-       "                          Other                                                         2.9   \n",
-       "                          South Asian                                                   3.1   \n",
-       "                          Unknown                                                         4   \n",
-       "                          White                                                         3.2   \n",
-       "ethnicity_16_groups        African                                                      6.3   \n",
-       "                           Bangladeshi or British Bangladeshi                             0   \n",
-       "                           Caribbean                                                      5   \n",
-       "                           Chinese                                                      4.6   \n",
-       "                           Other                                                          0   \n",
-       "                           Other Asian                                                    0   \n",
-       "                          British or Mixed British                                        0   \n",
-       "                          Indian or British Indian                                      4.8   \n",
-       "                          Irish                                                           5   \n",
-       "                          Other Black                                                     0   \n",
-       "                          Other White                                                   6.3   \n",
-       "                          Other mixed                                                     0   \n",
-       "                          Pakistani or British Pakistani                                4.8   \n",
-       "                          Unknown                                                       1.7   \n",
-       "                          White + Asian                                                 4.7   \n",
-       "                          White + Black African                                         5.2   \n",
-       "                          White + Black Caribbean                                       4.8   \n",
-       "imd_categories            1 Most deprived                                               4.5   \n",
-       "                          2                                                             2.8   \n",
-       "                          3                                                             4.1   \n",
-       "                          4                                                               4   \n",
-       "                          5 Least deprived                                              3.2   \n",
-       "                          Unknown                                                       5.2   \n",
-       "bmi                       30+                                                           1.8   \n",
-       "                          under 30                                                      3.9   \n",
-       "chronic_cardiac_disease   no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
-       "current_copd              no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
-       "dmards                    no                                                            3.6   \n",
-       "                          yes                                                             0   \n",
-       "dementia                  no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                            3.3   \n",
-       "                          yes                                                          33.4   \n",
-       "ssri                      no                                                            3.6   \n",
-       "                          yes                                                             0   \n",
-       "chemo_or_radio            no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
-       "lung_cancer               no                                                            3.3   \n",
-       "                          yes                                                            25   \n",
-       "cancer_excl_lung_and_haem no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
-       "haematological_cancer     no                                                            3.3   \n",
-       "                          yes                                                             0   \n",
+       "                                                            Uptake over last 7d (percent)  \\\n",
+       "category                group                                                               \n",
+       "overall                 overall                                                       2.7   \n",
+       "sex                     F                                                             3.9   \n",
+       "                        M                                                             1.4   \n",
+       "ethnicity_6_groups      Black                                                         2.6   \n",
+       "                        Mixed                                                         2.7   \n",
+       "                        Other                                                         2.6   \n",
+       "                        South Asian                                                   2.4   \n",
+       "                        Unknown                                                         3   \n",
+       "                        White                                                         2.8   \n",
+       "ethnicity_16_groups      African                                                        4   \n",
+       "                         Bangladeshi or British Bangladeshi                           4.4   \n",
+       "                         Caribbean                                                      0   \n",
+       "                         Chinese                                                        4   \n",
+       "                         Other                                                        4.1   \n",
+       "                         Other Asian                                                  4.1   \n",
+       "                        British or Mixed British                                      4.4   \n",
+       "                        Indian or British Indian                                        0   \n",
+       "                        Irish                                                         3.9   \n",
+       "                        Other Black                                                   4.2   \n",
+       "                        Other White                                                   3.7   \n",
+       "                        Other mixed                                                     5   \n",
+       "                        Pakistani or British Pakistani                                4.5   \n",
+       "                        Unknown                                                       1.5   \n",
+       "                        White + Asian                                                 4.1   \n",
+       "                        White + Black African                                         5.3   \n",
+       "                        White + Black Caribbean                                       4.3   \n",
+       "imd_categories          1 Most deprived                                               2.4   \n",
+       "                        2                                                             2.4   \n",
+       "                        3                                                             3.6   \n",
+       "                        4                                                             2.2   \n",
+       "                        5 Least deprived                                              2.6   \n",
+       "                        Unknown                                                       3.8   \n",
+       "bmi                     30+                                                           2.2   \n",
+       "                        under 30                                                      2.9   \n",
+       "chronic_cardiac_disease no                                                            2.7   \n",
+       "                        yes                                                             0   \n",
+       "current_copd            no                                                            2.7   \n",
+       "                        yes                                                             0   \n",
+       "dmards                  no                                                            2.7   \n",
+       "                        yes                                                             0   \n",
+       "psychosis_schiz_bipolar no                                                            2.5   \n",
+       "                        yes                                                             0   \n",
+       "ssri                    no                                                            2.7   \n",
+       "                        yes                                                             0   \n",
        "\n",
-       "                                                              Date projected to reach 90%  \n",
-       "category                  group                                                            \n",
-       "overall                   overall                                                  17-Jun  \n",
-       "sex                       F                                                        07-Jun  \n",
-       "                          M                                                        13-Jul  \n",
-       "ethnicity_6_groups        Black                                                    22-Jun  \n",
-       "                          Mixed                                                    26-Jun  \n",
-       "                          Other                                                    27-Jun  \n",
-       "                          South Asian                                              04-Jul  \n",
-       "                          Unknown                                                  31-May  \n",
-       "                          White                                                    23-Jun  \n",
-       "ethnicity_16_groups        African                                                 02-May  \n",
-       "                           Bangladeshi or British Bangladeshi                     unknown  \n",
-       "                           Caribbean                                               07-May  \n",
-       "                           Chinese                                                 25-May  \n",
-       "                           Other                                                  unknown  \n",
-       "                           Other Asian                                            unknown  \n",
-       "                          British or Mixed British                                unknown  \n",
-       "                          Indian or British Indian                                 19-May  \n",
-       "                          Irish                                                    07-May  \n",
-       "                          Other Black                                             unknown  \n",
-       "                          Other White                                              25-Apr  \n",
-       "                          Other mixed                                             unknown  \n",
-       "                          Pakistani or British Pakistani                           19-May  \n",
-       "                          Unknown                                                 unknown  \n",
-       "                          White + Asian                                            28-May  \n",
-       "                          White + Black African                                    15-May  \n",
-       "                          White + Black Caribbean                                  19-May  \n",
-       "imd_categories            1 Most deprived                                          23-May  \n",
-       "                          2                                                        06-Jul  \n",
-       "                          3                                                        27-May  \n",
-       "                          4                                                        05-Jun  \n",
-       "                          5 Least deprived                                         23-Jun  \n",
-       "                          Unknown                                                  15-May  \n",
-       "bmi                       30+                                                     unknown  \n",
-       "                          under 30                                                 03-Jun  \n",
-       "chronic_cardiac_disease   no                                                       21-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       20-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       11-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "dementia                  no                                                       21-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       21-Jun  \n",
-       "                          yes                                                      09-Mar  \n",
-       "ssri                      no                                                       11-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       20-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "lung_cancer               no                                                       20-Jun  \n",
-       "                          yes                                                      16-Mar  \n",
-       "cancer_excl_lung_and_haem no                                                       21-Jun  \n",
-       "                          yes                                                     unknown  \n",
-       "haematological_cancer     no                                                       21-Jun  \n",
-       "                          yes                                                     unknown  "
+       "                                                            Date projected to reach 90%  \n",
+       "category                group                                                            \n",
+       "overall                 overall                                                  02-Aug  \n",
+       "sex                     F                                                        22-Jun  \n",
+       "                        M                                                       unknown  \n",
+       "ethnicity_6_groups      Black                                                    09-Aug  \n",
+       "                        Mixed                                                    03-Aug  \n",
+       "                        Other                                                    02-Aug  \n",
+       "                        South Asian                                              15-Aug  \n",
+       "                        Unknown                                                  21-Jul  \n",
+       "                        White                                                    01-Aug  \n",
+       "ethnicity_16_groups      African                                                 02-Jul  \n",
+       "                         Bangladeshi or British Bangladeshi                      25-Jun  \n",
+       "                         Caribbean                                              unknown  \n",
+       "                         Chinese                                                 18-Jun  \n",
+       "                         Other                                                   13-Jun  \n",
+       "                         Other Asian                                             13-Jun  \n",
+       "                        British or Mixed British                                 25-Jun  \n",
+       "                        Indian or British Indian                                unknown  \n",
+       "                        Irish                                                    16-Jun  \n",
+       "                        Other Black                                              18-Jun  \n",
+       "                        Other White                                              24-Jun  \n",
+       "                        Other mixed                                              08-Jun  \n",
+       "                        Pakistani or British Pakistani                           14-Jun  \n",
+       "                        Unknown                                                 unknown  \n",
+       "                        White + Asian                                            13-Jun  \n",
+       "                        White + Black African                                    01-Jun  \n",
+       "                        White + Black Caribbean                                  06-Jun  \n",
+       "imd_categories          1 Most deprived                                          22-Aug  \n",
+       "                        2                                                        17-Aug  \n",
+       "                        3                                                        28-Jun  \n",
+       "                        4                                                        09-Sep  \n",
+       "                        5 Least deprived                                         29-Jul  \n",
+       "                        Unknown                                                  25-Jun  \n",
+       "bmi                     30+                                                      01-Sep  \n",
+       "                        under 30                                                 24-Jul  \n",
+       "chronic_cardiac_disease no                                                       03-Aug  \n",
+       "                        yes                                                     unknown  \n",
+       "current_copd            no                                                       02-Aug  \n",
+       "                        yes                                                     unknown  \n",
+       "dmards                  no                                                       03-Aug  \n",
+       "                        yes                                                     unknown  \n",
+       "psychosis_schiz_bipolar no                                                       13-Aug  \n",
+       "                        yes                                                     unknown  \n",
+       "ssri                    no                                                       03-Aug  \n",
+       "                        yes                                                     unknown  "
       ]
      },
      "metadata": {},
@@ -5921,7 +6890,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **under 60s, not in other eligible groups shown** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **under 55s, not in other eligible groups shown** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -5983,356 +6952,356 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>14811</td>\n",
-       "      <td>13605</td>\n",
-       "      <td>1206</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13468</td>\n",
+       "      <td>12658</td>\n",
+       "      <td>810</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>7630</td>\n",
-       "      <td>7014</td>\n",
-       "      <td>616</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>6860</td>\n",
+       "      <td>6461</td>\n",
+       "      <td>399</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>7182</td>\n",
-       "      <td>6594</td>\n",
-       "      <td>588</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>6608</td>\n",
+       "      <td>6195</td>\n",
+       "      <td>413</td>\n",
+       "      <td>6.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">ageband</th>\n",
        "      <th>16-29</th>\n",
-       "      <td>1771</td>\n",
-       "      <td>1631</td>\n",
-       "      <td>140</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1645</td>\n",
+       "      <td>1540</td>\n",
+       "      <td>105</td>\n",
+       "      <td>6.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-39</th>\n",
-       "      <td>1834</td>\n",
        "      <td>1687</td>\n",
-       "      <td>147</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>1575</td>\n",
+       "      <td>112</td>\n",
+       "      <td>7.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-49</th>\n",
-       "      <td>1862</td>\n",
-       "      <td>1715</td>\n",
-       "      <td>147</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1687</td>\n",
+       "      <td>1596</td>\n",
+       "      <td>91</td>\n",
+       "      <td>5.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-59</th>\n",
-       "      <td>1918</td>\n",
-       "      <td>1778</td>\n",
-       "      <td>140</td>\n",
-       "      <td>7.9</td>\n",
+       "      <td>1750</td>\n",
+       "      <td>1652</td>\n",
+       "      <td>98</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-69</th>\n",
-       "      <td>1876</td>\n",
-       "      <td>1715</td>\n",
-       "      <td>161</td>\n",
-       "      <td>9.4</td>\n",
+       "      <td>1722</td>\n",
+       "      <td>1631</td>\n",
+       "      <td>91</td>\n",
+       "      <td>5.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-79</th>\n",
-       "      <td>3689</td>\n",
-       "      <td>3367</td>\n",
-       "      <td>322</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>3402</td>\n",
+       "      <td>3178</td>\n",
+       "      <td>224</td>\n",
+       "      <td>7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>1862</td>\n",
-       "      <td>1715</td>\n",
-       "      <td>147</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1582</td>\n",
+       "      <td>1484</td>\n",
+       "      <td>98</td>\n",
+       "      <td>6.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>2436</td>\n",
-       "      <td>2233</td>\n",
-       "      <td>203</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>2310</td>\n",
+       "      <td>2156</td>\n",
+       "      <td>154</td>\n",
+       "      <td>7.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>2548</td>\n",
-       "      <td>2345</td>\n",
-       "      <td>203</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>2289</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>119</td>\n",
+       "      <td>5.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>2527</td>\n",
-       "      <td>2345</td>\n",
-       "      <td>182</td>\n",
-       "      <td>7.8</td>\n",
+       "      <td>2268</td>\n",
+       "      <td>2142</td>\n",
+       "      <td>126</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>2562</td>\n",
-       "      <td>2352</td>\n",
-       "      <td>210</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>2345</td>\n",
+       "      <td>2205</td>\n",
+       "      <td>140</td>\n",
+       "      <td>6.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>2212</td>\n",
-       "      <td>2016</td>\n",
-       "      <td>196</td>\n",
-       "      <td>9.7</td>\n",
+       "      <td>1995</td>\n",
+       "      <td>1855</td>\n",
+       "      <td>140</td>\n",
+       "      <td>7.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>2513</td>\n",
-       "      <td>2303</td>\n",
-       "      <td>210</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>2254</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>133</td>\n",
+       "      <td>6.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>819</td>\n",
-       "      <td>742</td>\n",
-       "      <td>77</td>\n",
-       "      <td>10.4</td>\n",
+       "      <td>707</td>\n",
+       "      <td>672</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>735</td>\n",
-       "      <td>686</td>\n",
+       "      <td>679</td>\n",
+       "      <td>630</td>\n",
        "      <td>49</td>\n",
-       "      <td>7.1</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>812</td>\n",
-       "      <td>756</td>\n",
-       "      <td>56</td>\n",
-       "      <td>7.4</td>\n",
+       "      <td>693</td>\n",
+       "      <td>651</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>798</td>\n",
-       "      <td>735</td>\n",
-       "      <td>63</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>700</td>\n",
+       "      <td>665</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
        "      <td>735</td>\n",
-       "      <td>679</td>\n",
-       "      <td>56</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>693</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>819</td>\n",
-       "      <td>749</td>\n",
-       "      <td>70</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>700</td>\n",
+       "      <td>658</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>770</td>\n",
-       "      <td>693</td>\n",
-       "      <td>77</td>\n",
-       "      <td>11.1</td>\n",
+       "      <td>700</td>\n",
+       "      <td>658</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>770</td>\n",
-       "      <td>714</td>\n",
-       "      <td>56</td>\n",
-       "      <td>7.8</td>\n",
+       "      <td>707</td>\n",
+       "      <td>658</td>\n",
+       "      <td>49</td>\n",
+       "      <td>7.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>763</td>\n",
-       "      <td>700</td>\n",
-       "      <td>63</td>\n",
-       "      <td>9</td>\n",
+       "      <td>770</td>\n",
+       "      <td>728</td>\n",
+       "      <td>42</td>\n",
+       "      <td>5.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>854</td>\n",
-       "      <td>791</td>\n",
-       "      <td>63</td>\n",
-       "      <td>8</td>\n",
+       "      <td>735</td>\n",
+       "      <td>693</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>770</td>\n",
-       "      <td>707</td>\n",
-       "      <td>63</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>721</td>\n",
+       "      <td>672</td>\n",
+       "      <td>49</td>\n",
+       "      <td>7.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>777</td>\n",
-       "      <td>707</td>\n",
-       "      <td>70</td>\n",
-       "      <td>9.9</td>\n",
+       "      <td>686</td>\n",
+       "      <td>644</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>791</td>\n",
-       "      <td>728</td>\n",
-       "      <td>63</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>777</td>\n",
+       "      <td>721</td>\n",
+       "      <td>56</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>2254</td>\n",
-       "      <td>2065</td>\n",
-       "      <td>189</td>\n",
-       "      <td>9.2</td>\n",
+       "      <td>2072</td>\n",
+       "      <td>1932</td>\n",
+       "      <td>140</td>\n",
+       "      <td>7.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>798</td>\n",
-       "      <td>728</td>\n",
-       "      <td>70</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>714</td>\n",
+       "      <td>679</td>\n",
+       "      <td>35</td>\n",
+       "      <td>5.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>749</td>\n",
-       "      <td>693</td>\n",
-       "      <td>56</td>\n",
-       "      <td>8.1</td>\n",
+       "      <td>714</td>\n",
+       "      <td>672</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>791</td>\n",
-       "      <td>721</td>\n",
-       "      <td>70</td>\n",
-       "      <td>9.7</td>\n",
+       "      <td>665</td>\n",
+       "      <td>623</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
-       "      <th>1 Most deprived</th>\n",
-       "      <td>2793</td>\n",
-       "      <td>2576</td>\n",
-       "      <td>217</td>\n",
-       "      <td>8.4</td>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>2520</td>\n",
+       "      <td>2373</td>\n",
+       "      <td>147</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>2618</td>\n",
-       "      <td>245</td>\n",
-       "      <td>9.4</td>\n",
+       "      <td>2611</td>\n",
+       "      <td>2450</td>\n",
+       "      <td>161</td>\n",
+       "      <td>6.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2856</td>\n",
-       "      <td>2632</td>\n",
-       "      <td>224</td>\n",
-       "      <td>8.5</td>\n",
+       "      <td>2506</td>\n",
+       "      <td>2352</td>\n",
+       "      <td>154</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2772</td>\n",
-       "      <td>2548</td>\n",
-       "      <td>224</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>2625</td>\n",
+       "      <td>2464</td>\n",
+       "      <td>161</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>2828</td>\n",
-       "      <td>2583</td>\n",
-       "      <td>245</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>2555</td>\n",
+       "      <td>2401</td>\n",
+       "      <td>154</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>707</td>\n",
        "      <td>651</td>\n",
-       "      <td>56</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>609</td>\n",
+       "      <td>42</td>\n",
+       "      <td>6.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>4375</td>\n",
-       "      <td>4018</td>\n",
-       "      <td>357</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>4046</td>\n",
+       "      <td>3808</td>\n",
+       "      <td>238</td>\n",
+       "      <td>6.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>10437</td>\n",
-       "      <td>9583</td>\n",
-       "      <td>854</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>9422</td>\n",
+       "      <td>8855</td>\n",
+       "      <td>567</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>14686</td>\n",
-       "      <td>13489</td>\n",
-       "      <td>1197</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12523</td>\n",
+       "      <td>805</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>126</td>\n",
-       "      <td>119</td>\n",
+       "      <td>140</td>\n",
+       "      <td>133</td>\n",
        "      <td>7</td>\n",
-       "      <td>5.9</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>14644</td>\n",
-       "      <td>13454</td>\n",
-       "      <td>1190</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12530</td>\n",
+       "      <td>798</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>161</td>\n",
-       "      <td>147</td>\n",
+       "      <td>140</td>\n",
+       "      <td>126</td>\n",
        "      <td>14</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>11.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>14651</td>\n",
-       "      <td>13461</td>\n",
-       "      <td>1190</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>13328</td>\n",
+       "      <td>12530</td>\n",
+       "      <td>798</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>154</td>\n",
-       "      <td>147</td>\n",
+       "      <td>140</td>\n",
+       "      <td>133</td>\n",
        "      <td>7</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>14665</td>\n",
-       "      <td>13468</td>\n",
-       "      <td>1197</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>13335</td>\n",
+       "      <td>12537</td>\n",
+       "      <td>798</td>\n",
+       "      <td>6.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>147</td>\n",
        "      <td>133</td>\n",
-       "      <td>14</td>\n",
-       "      <td>10.5</td>\n",
+       "      <td>126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5.6</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -6341,211 +7310,211 @@
       "text/plain": [
        "                                                             vaccinated  \\\n",
        "category                group                                             \n",
-       "overall                 overall                                   14811   \n",
-       "sex                     F                                          7630   \n",
-       "                        M                                          7182   \n",
-       "ageband                 16-29                                      1771   \n",
-       "                        30-39                                      1834   \n",
-       "                        40-49                                      1862   \n",
-       "                        50-59                                      1918   \n",
-       "                        60-69                                      1876   \n",
-       "                        70-79                                      3689   \n",
-       "                        80+                                        1862   \n",
-       "ethnicity_6_groups      Black                                      2436   \n",
-       "                        Mixed                                      2548   \n",
-       "                        Other                                      2527   \n",
-       "                        South Asian                                2562   \n",
-       "                        Unknown                                    2212   \n",
-       "                        White                                      2513   \n",
-       "ethnicity_16_groups      African                                    819   \n",
-       "                         Bangladeshi or British Bangladeshi         735   \n",
-       "                         Caribbean                                  812   \n",
-       "                         Chinese                                    798   \n",
+       "overall                 overall                                   13468   \n",
+       "sex                     F                                          6860   \n",
+       "                        M                                          6608   \n",
+       "ageband                 16-29                                      1645   \n",
+       "                        30-39                                      1687   \n",
+       "                        40-49                                      1687   \n",
+       "                        50-59                                      1750   \n",
+       "                        60-69                                      1722   \n",
+       "                        70-79                                      3402   \n",
+       "                        80+                                        1582   \n",
+       "ethnicity_6_groups      Black                                      2310   \n",
+       "                        Mixed                                      2289   \n",
+       "                        Other                                      2268   \n",
+       "                        South Asian                                2345   \n",
+       "                        Unknown                                    1995   \n",
+       "                        White                                      2254   \n",
+       "ethnicity_16_groups      African                                    707   \n",
+       "                         Bangladeshi or British Bangladeshi         679   \n",
+       "                         Caribbean                                  693   \n",
+       "                         Chinese                                    700   \n",
        "                         Other                                      735   \n",
-       "                         Other Asian                                819   \n",
-       "                        British or Mixed British                    770   \n",
-       "                        Indian or British Indian                    770   \n",
-       "                        Irish                                       763   \n",
-       "                        Other Black                                 854   \n",
-       "                        Other White                                 770   \n",
-       "                        Other mixed                                 777   \n",
-       "                        Pakistani or British Pakistani              791   \n",
-       "                        Unknown                                    2254   \n",
-       "                        White + Asian                               798   \n",
-       "                        White + Black African                       749   \n",
-       "                        White + Black Caribbean                     791   \n",
-       "imd_categories          1 Most deprived                            2793   \n",
-       "                        2                                          2863   \n",
-       "                        3                                          2856   \n",
-       "                        4                                          2772   \n",
-       "                        5 Least deprived                           2828   \n",
-       "                        Unknown                                     707   \n",
-       "bmi                     30+                                        4375   \n",
-       "                        under 30                                  10437   \n",
-       "chronic_cardiac_disease no                                        14686   \n",
-       "                        yes                                         126   \n",
-       "current_copd            no                                        14644   \n",
-       "                        yes                                         161   \n",
-       "dmards                  no                                        14651   \n",
-       "                        yes                                         154   \n",
-       "ssri                    no                                        14665   \n",
-       "                        yes                                         147   \n",
+       "                         Other Asian                                700   \n",
+       "                        British or Mixed British                    700   \n",
+       "                        Indian or British Indian                    707   \n",
+       "                        Irish                                       770   \n",
+       "                        Other Black                                 735   \n",
+       "                        Other White                                 721   \n",
+       "                        Other mixed                                 686   \n",
+       "                        Pakistani or British Pakistani              777   \n",
+       "                        Unknown                                    2072   \n",
+       "                        White + Asian                               714   \n",
+       "                        White + Black African                       714   \n",
+       "                        White + Black Caribbean                     665   \n",
+       "imd_categories          1 Most deprived                            2520   \n",
+       "                        2                                          2611   \n",
+       "                        3                                          2506   \n",
+       "                        4                                          2625   \n",
+       "                        5 Least deprived                           2555   \n",
+       "                        Unknown                                     651   \n",
+       "bmi                     30+                                        4046   \n",
+       "                        under 30                                   9422   \n",
+       "chronic_cardiac_disease no                                        13328   \n",
+       "                        yes                                         140   \n",
+       "current_copd            no                                        13328   \n",
+       "                        yes                                         140   \n",
+       "dmards                  no                                        13328   \n",
+       "                        yes                                         140   \n",
+       "ssri                    no                                        13335   \n",
+       "                        yes                                         133   \n",
        "\n",
        "                                                            vaccinated 7d previous  \\\n",
        "category                group                                                        \n",
-       "overall                 overall                                              13605   \n",
-       "sex                     F                                                     7014   \n",
-       "                        M                                                     6594   \n",
-       "ageband                 16-29                                                 1631   \n",
-       "                        30-39                                                 1687   \n",
-       "                        40-49                                                 1715   \n",
-       "                        50-59                                                 1778   \n",
-       "                        60-69                                                 1715   \n",
-       "                        70-79                                                 3367   \n",
-       "                        80+                                                   1715   \n",
-       "ethnicity_6_groups      Black                                                 2233   \n",
-       "                        Mixed                                                 2345   \n",
-       "                        Other                                                 2345   \n",
-       "                        South Asian                                           2352   \n",
-       "                        Unknown                                               2016   \n",
-       "                        White                                                 2303   \n",
-       "ethnicity_16_groups      African                                               742   \n",
-       "                         Bangladeshi or British Bangladeshi                    686   \n",
-       "                         Caribbean                                             756   \n",
-       "                         Chinese                                               735   \n",
-       "                         Other                                                 679   \n",
-       "                         Other Asian                                           749   \n",
-       "                        British or Mixed British                               693   \n",
-       "                        Indian or British Indian                               714   \n",
-       "                        Irish                                                  700   \n",
-       "                        Other Black                                            791   \n",
-       "                        Other White                                            707   \n",
-       "                        Other mixed                                            707   \n",
-       "                        Pakistani or British Pakistani                         728   \n",
-       "                        Unknown                                               2065   \n",
-       "                        White + Asian                                          728   \n",
-       "                        White + Black African                                  693   \n",
-       "                        White + Black Caribbean                                721   \n",
-       "imd_categories          1 Most deprived                                       2576   \n",
-       "                        2                                                     2618   \n",
-       "                        3                                                     2632   \n",
-       "                        4                                                     2548   \n",
-       "                        5 Least deprived                                      2583   \n",
-       "                        Unknown                                                651   \n",
-       "bmi                     30+                                                   4018   \n",
-       "                        under 30                                              9583   \n",
-       "chronic_cardiac_disease no                                                   13489   \n",
-       "                        yes                                                    119   \n",
-       "current_copd            no                                                   13454   \n",
-       "                        yes                                                    147   \n",
-       "dmards                  no                                                   13461   \n",
-       "                        yes                                                    147   \n",
-       "ssri                    no                                                   13468   \n",
+       "overall                 overall                                              12658   \n",
+       "sex                     F                                                     6461   \n",
+       "                        M                                                     6195   \n",
+       "ageband                 16-29                                                 1540   \n",
+       "                        30-39                                                 1575   \n",
+       "                        40-49                                                 1596   \n",
+       "                        50-59                                                 1652   \n",
+       "                        60-69                                                 1631   \n",
+       "                        70-79                                                 3178   \n",
+       "                        80+                                                   1484   \n",
+       "ethnicity_6_groups      Black                                                 2156   \n",
+       "                        Mixed                                                 2170   \n",
+       "                        Other                                                 2142   \n",
+       "                        South Asian                                           2205   \n",
+       "                        Unknown                                               1855   \n",
+       "                        White                                                 2121   \n",
+       "ethnicity_16_groups      African                                               672   \n",
+       "                         Bangladeshi or British Bangladeshi                    630   \n",
+       "                         Caribbean                                             651   \n",
+       "                         Chinese                                               665   \n",
+       "                         Other                                                 693   \n",
+       "                         Other Asian                                           658   \n",
+       "                        British or Mixed British                               658   \n",
+       "                        Indian or British Indian                               658   \n",
+       "                        Irish                                                  728   \n",
+       "                        Other Black                                            693   \n",
+       "                        Other White                                            672   \n",
+       "                        Other mixed                                            644   \n",
+       "                        Pakistani or British Pakistani                         721   \n",
+       "                        Unknown                                               1932   \n",
+       "                        White + Asian                                          679   \n",
+       "                        White + Black African                                  672   \n",
+       "                        White + Black Caribbean                                623   \n",
+       "imd_categories          1 Most deprived                                       2373   \n",
+       "                        2                                                     2450   \n",
+       "                        3                                                     2352   \n",
+       "                        4                                                     2464   \n",
+       "                        5 Least deprived                                      2401   \n",
+       "                        Unknown                                                609   \n",
+       "bmi                     30+                                                   3808   \n",
+       "                        under 30                                              8855   \n",
+       "chronic_cardiac_disease no                                                   12523   \n",
+       "                        yes                                                    133   \n",
+       "current_copd            no                                                   12530   \n",
+       "                        yes                                                    126   \n",
+       "dmards                  no                                                   12530   \n",
        "                        yes                                                    133   \n",
+       "ssri                    no                                                   12537   \n",
+       "                        yes                                                    126   \n",
        "\n",
        "                                                            Uptake over last 7d  \\\n",
        "category                group                                                     \n",
-       "overall                 overall                                            1206   \n",
-       "sex                     F                                                   616   \n",
-       "                        M                                                   588   \n",
-       "ageband                 16-29                                               140   \n",
-       "                        30-39                                               147   \n",
-       "                        40-49                                               147   \n",
-       "                        50-59                                               140   \n",
-       "                        60-69                                               161   \n",
-       "                        70-79                                               322   \n",
-       "                        80+                                                 147   \n",
-       "ethnicity_6_groups      Black                                               203   \n",
-       "                        Mixed                                               203   \n",
-       "                        Other                                               182   \n",
-       "                        South Asian                                         210   \n",
-       "                        Unknown                                             196   \n",
-       "                        White                                               210   \n",
-       "ethnicity_16_groups      African                                             77   \n",
+       "overall                 overall                                             810   \n",
+       "sex                     F                                                   399   \n",
+       "                        M                                                   413   \n",
+       "ageband                 16-29                                               105   \n",
+       "                        30-39                                               112   \n",
+       "                        40-49                                                91   \n",
+       "                        50-59                                                98   \n",
+       "                        60-69                                                91   \n",
+       "                        70-79                                               224   \n",
+       "                        80+                                                  98   \n",
+       "ethnicity_6_groups      Black                                               154   \n",
+       "                        Mixed                                               119   \n",
+       "                        Other                                               126   \n",
+       "                        South Asian                                         140   \n",
+       "                        Unknown                                             140   \n",
+       "                        White                                               133   \n",
+       "ethnicity_16_groups      African                                             35   \n",
        "                         Bangladeshi or British Bangladeshi                  49   \n",
-       "                         Caribbean                                           56   \n",
-       "                         Chinese                                             63   \n",
-       "                         Other                                               56   \n",
-       "                         Other Asian                                         70   \n",
-       "                        British or Mixed British                             77   \n",
-       "                        Indian or British Indian                             56   \n",
-       "                        Irish                                                63   \n",
-       "                        Other Black                                          63   \n",
-       "                        Other White                                          63   \n",
-       "                        Other mixed                                          70   \n",
-       "                        Pakistani or British Pakistani                       63   \n",
-       "                        Unknown                                             189   \n",
-       "                        White + Asian                                        70   \n",
-       "                        White + Black African                                56   \n",
-       "                        White + Black Caribbean                              70   \n",
-       "imd_categories          1 Most deprived                                     217   \n",
-       "                        2                                                   245   \n",
-       "                        3                                                   224   \n",
-       "                        4                                                   224   \n",
-       "                        5 Least deprived                                    245   \n",
-       "                        Unknown                                              56   \n",
-       "bmi                     30+                                                 357   \n",
-       "                        under 30                                            854   \n",
-       "chronic_cardiac_disease no                                                 1197   \n",
+       "                         Caribbean                                           42   \n",
+       "                         Chinese                                             35   \n",
+       "                         Other                                               42   \n",
+       "                         Other Asian                                         42   \n",
+       "                        British or Mixed British                             42   \n",
+       "                        Indian or British Indian                             49   \n",
+       "                        Irish                                                42   \n",
+       "                        Other Black                                          42   \n",
+       "                        Other White                                          49   \n",
+       "                        Other mixed                                          42   \n",
+       "                        Pakistani or British Pakistani                       56   \n",
+       "                        Unknown                                             140   \n",
+       "                        White + Asian                                        35   \n",
+       "                        White + Black African                                42   \n",
+       "                        White + Black Caribbean                              42   \n",
+       "imd_categories          1 Most deprived                                     147   \n",
+       "                        2                                                   161   \n",
+       "                        3                                                   154   \n",
+       "                        4                                                   161   \n",
+       "                        5 Least deprived                                    154   \n",
+       "                        Unknown                                              42   \n",
+       "bmi                     30+                                                 238   \n",
+       "                        under 30                                            567   \n",
+       "chronic_cardiac_disease no                                                  805   \n",
        "                        yes                                                   7   \n",
-       "current_copd            no                                                 1190   \n",
+       "current_copd            no                                                  798   \n",
        "                        yes                                                  14   \n",
-       "dmards                  no                                                 1190   \n",
+       "dmards                  no                                                  798   \n",
+       "                        yes                                                   7   \n",
+       "ssri                    no                                                  798   \n",
        "                        yes                                                   7   \n",
-       "ssri                    no                                                 1197   \n",
-       "                        yes                                                  14   \n",
        "\n",
        "                                                            Increase in uptake (%)  \n",
        "category                group                                                       \n",
-       "overall                 overall                                                8.9  \n",
-       "sex                     F                                                      8.8  \n",
-       "                        M                                                      8.9  \n",
-       "ageband                 16-29                                                  8.6  \n",
-       "                        30-39                                                  8.7  \n",
-       "                        40-49                                                  8.6  \n",
-       "                        50-59                                                  7.9  \n",
-       "                        60-69                                                  9.4  \n",
-       "                        70-79                                                  9.6  \n",
-       "                        80+                                                    8.6  \n",
-       "ethnicity_6_groups      Black                                                  9.1  \n",
-       "                        Mixed                                                  8.7  \n",
-       "                        Other                                                  7.8  \n",
-       "                        South Asian                                            8.9  \n",
-       "                        Unknown                                                9.7  \n",
-       "                        White                                                  9.1  \n",
-       "ethnicity_16_groups      African                                              10.4  \n",
-       "                         Bangladeshi or British Bangladeshi                    7.1  \n",
-       "                         Caribbean                                             7.4  \n",
-       "                         Chinese                                               8.6  \n",
-       "                         Other                                                 8.2  \n",
-       "                         Other Asian                                           9.3  \n",
-       "                        British or Mixed British                              11.1  \n",
-       "                        Indian or British Indian                               7.8  \n",
-       "                        Irish                                                    9  \n",
-       "                        Other Black                                              8  \n",
-       "                        Other White                                            8.9  \n",
-       "                        Other mixed                                            9.9  \n",
-       "                        Pakistani or British Pakistani                         8.7  \n",
-       "                        Unknown                                                9.2  \n",
-       "                        White + Asian                                          9.6  \n",
-       "                        White + Black African                                  8.1  \n",
-       "                        White + Black Caribbean                                9.7  \n",
-       "imd_categories          1 Most deprived                                        8.4  \n",
-       "                        2                                                      9.4  \n",
-       "                        3                                                      8.5  \n",
-       "                        4                                                      8.8  \n",
-       "                        5 Least deprived                                       9.5  \n",
-       "                        Unknown                                                8.6  \n",
-       "bmi                     30+                                                    8.9  \n",
-       "                        under 30                                               8.9  \n",
-       "chronic_cardiac_disease no                                                     8.9  \n",
-       "                        yes                                                    5.9  \n",
-       "current_copd            no                                                     8.8  \n",
-       "                        yes                                                    9.5  \n",
-       "dmards                  no                                                     8.8  \n",
-       "                        yes                                                    4.8  \n",
-       "ssri                    no                                                     8.9  \n",
-       "                        yes                                                   10.5  "
+       "overall                 overall                                                6.4  \n",
+       "sex                     F                                                      6.2  \n",
+       "                        M                                                      6.7  \n",
+       "ageband                 16-29                                                  6.8  \n",
+       "                        30-39                                                  7.1  \n",
+       "                        40-49                                                  5.7  \n",
+       "                        50-59                                                  5.9  \n",
+       "                        60-69                                                  5.6  \n",
+       "                        70-79                                                    7  \n",
+       "                        80+                                                    6.6  \n",
+       "ethnicity_6_groups      Black                                                  7.1  \n",
+       "                        Mixed                                                  5.5  \n",
+       "                        Other                                                  5.9  \n",
+       "                        South Asian                                            6.3  \n",
+       "                        Unknown                                                7.5  \n",
+       "                        White                                                  6.3  \n",
+       "ethnicity_16_groups      African                                               5.2  \n",
+       "                         Bangladeshi or British Bangladeshi                    7.8  \n",
+       "                         Caribbean                                             6.5  \n",
+       "                         Chinese                                               5.3  \n",
+       "                         Other                                                 6.1  \n",
+       "                         Other Asian                                           6.4  \n",
+       "                        British or Mixed British                               6.4  \n",
+       "                        Indian or British Indian                               7.4  \n",
+       "                        Irish                                                  5.8  \n",
+       "                        Other Black                                            6.1  \n",
+       "                        Other White                                            7.3  \n",
+       "                        Other mixed                                            6.5  \n",
+       "                        Pakistani or British Pakistani                         7.8  \n",
+       "                        Unknown                                                7.2  \n",
+       "                        White + Asian                                          5.2  \n",
+       "                        White + Black African                                  6.2  \n",
+       "                        White + Black Caribbean                                6.7  \n",
+       "imd_categories          1 Most deprived                                        6.2  \n",
+       "                        2                                                      6.6  \n",
+       "                        3                                                      6.5  \n",
+       "                        4                                                      6.5  \n",
+       "                        5 Least deprived                                       6.4  \n",
+       "                        Unknown                                                6.9  \n",
+       "bmi                     30+                                                    6.2  \n",
+       "                        under 30                                               6.4  \n",
+       "chronic_cardiac_disease no                                                     6.4  \n",
+       "                        yes                                                    5.3  \n",
+       "current_copd            no                                                     6.4  \n",
+       "                        yes                                                   11.1  \n",
+       "dmards                  no                                                     6.4  \n",
+       "                        yes                                                    5.3  \n",
+       "ssri                    no                                                     6.4  \n",
+       "                        yes                                                    5.6  "
       ]
      },
      "metadata": {},
@@ -6567,7 +7536,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -6576,14 +7545,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/markdown": [
        "## \n",
-       " ## COVID vaccination rollout among **80+** population up to 05 Mar 2021"
+       " ## COVID vaccination rollout among **80+** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6606,7 +7575,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6630,7 +7599,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6654,7 +7623,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6678,7 +7647,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6702,7 +7671,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6726,7 +7695,7 @@
     },
     {
      "data": {
-      "image/png": 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vvvqqTuvWrXfPmTPnI4CNGzdmVyScZJYkjwJOMbOTgPoEzyT/BDQzszphabIdsKaMfYiIpDW1YE28Ll267GrWrFn+W2+91WDdunV1u3Xrtm3+/Pn7vv766026du3aFWDbtm1ZK1eurD9kyJCtv/rVr9pfeumlbU899dTNQ4cOrVCn5+UmSTOrDwwHBgEHAtuBZcCL7l6yT6mQu98I3BjuYzDwC3cfZWYzgJHAk8AFwLMVCVhEJNXFJsb/fvoNAEd0ag7Ushas5ZT4kunCCy/8+sEHH2yxYcOGuhdeeOHG1157rfG4cePWXXfddSU6Oli0aNGKp556qumECRPavvbaa1vuvPPOdVGPU2aSNLNbCBLkHOC/wAaCUmFn4LYwgV7r7ksrcG7jgSfN7DfAu8BDFdhWRCTlxT53PKJT8yr3nCMlnX/++Zt++9vfts3Pz7cRI0Z8UrduXZ80adKBY8eO/aZp06YFn376ad169er57t27rVWrVvmXXXbZN/vtt9+ehx56qEX5e/9eeSXJd9z95jjr/mBmrYBy/+XdfQ5BosXdPwEOr0CMIiJpp9Y8d0xR9evX94EDB25p1qzZnjp16nDGGWdsWb58ef3+/fsfBtCwYcOCadOmfbpy5cp9brzxxnZZWVnUqVPH77333s8qcpwyk6S7vxg7b2YN3X1bzPoNBKVLEZGMpeeO1W/Pnj0sWrSo0YwZMz4uXDZhwoQNEyZM2CsndevWbeeIESNWVPY4kd6TNLOBZrYCWBnO9zKzeyt7UBGR2kQ951SvhQsX1j/ooIN6DBo0aEuPHj12JvNYUVu3TgFOAJ4DcPclZvajpEUlIpJmVL1affr167fjyy+/fK86jhX5FRB3/yLoMKfInsSHIyKSHmKrWDOserWgoKDAsrKyas376wUFBQYUlLYuard0X5jZQMDNrK6Z/YKgP1YRkYwUW8WaYdWry3Jzc5uGiSXtFRQUWG5ublOCVxtLiFqSvISgI4C2BC//vwpcnpAIRUTSQLzGOZlWxZqfn/+z9evXP7h+/fruVMNIUtWgAFiWn5//s9JWRk2S5u6jEheTiEh6iX33ETKu9FikX79+G4BTajqO6hI1Sb5lZquB6cBT7r4peSGJiKSmTCw5ZrpISdLdO5vZ4cA5wK/C10GedPfHkxqdiEgNyuDGORKqSOvWd4B3zOx3wB8IxoJUkhSRWqP4c8fYflcztXo100VKkmbWBDidoCR5CPA06lpORGqZ4s8d1e+qRC1JLgGeAW5193lJjEdEpNqoxaqUJ2qSPNjda82LoyIioBarUr7yhsr6o7uPA54zsxJJ0t0zphmwiNROKjlKWcorST4W/rwz2YGIiFQHtViViiiztwR3XxhO9nb3ubEfoHfywxMRSawM7k5OKiHqM8kLCLqlizW6lGUiIilPVawSVXnPJM8Ffgx0MrPnYlY1Br5JZmAiIomgAZGlKsorSb4NrANaAL+PWb4VWJqsoEREEkUtWKUqykyS7v4Z8BmgegkRSRulNc5R9apURtQed44E/gz8EKgHZAPfubvqLESkxqk7OUmWqA137ibokm4GkAP8BOicrKBERCpC3clJslSkg/OPzCzb3fcAfzWzd4EbkxeaiEh8qlKV6hA1SW4zs3rAYjO7g6AxT20YkVpE0lRs6VFVqpIsUZPk+QTPIa8Afg60B0YkKygRkShUepRkizro8mfh5HbgluSFIyJSOr3vKDWhvM4E3gPijv7h7j0THpGISCg2Mca2WAW97yjVo7yS5PBqiUJEpBSxzx3VYlVqQpTOBEREqoUGQZZUE7Uzga18X+1aD6iLOhMQkQRQlaqksqgNdxoXTpuZAacCRyYrKBHJHKpSlVQWuTOBQu7uwDNmdjNwQ+JDEpFMoypVSVVRq1vPiJnNIuiabkdSIhKRWk2vckg6iVqSPDlmOh9YTVDlKiJSIRq6StJJ1GeSFyY7EBHJHKpelXQRtbq1E3Al0DF2G3c/JTlhiUhtUlpn5CLpIGp16zPAQ8DzQEHywhGR2kidkUu6ipokd7j7XRXZsZnVB14H9gmPM9Pdbw5LpU8C+wMLgfPdfVdF9i0iqU2dAkhtETVJ/il85eNVYGfhQndfVMY2O4Fj3T3PzOoCb5rZP4FrgCnu/qSZ3Qf8FPhL5cIXkVRQPCmqUwCpLaImyR4Ew2Udy/fVrR7Olyp8nzIvnK0bfgq3+XG4/BFgEkqSImmteItVdQogtUXUJHkmcHBFq0XNLJugSvUHwD3Ax8Amd88Pv/IlUOqfl2Y2FhgL0KGDbjSRVFNaYxxVp0ptEzVJLgOaARsqsnN33wP0NrNmwNPAYRXY9n7gfoCcnJy4w3WJSPUoq0pV1alSW0VNks2AlWY2n72fSUZ6BcTdN5nZbGAA0MzM6oSlyXbAmrK3FpFUoCpVyURRk+TNFd2xmbUEdocJsgFwPHA7MBsYSdDC9QLg2YruW0Sqh6pUJdNF7XFnbiX23QZ4JHwumQX83d1fMLMVwJNm9hvgXYL3L0UkBahKVWRvSRtP0t2XAn1KWf4JcHjFQxWRZFOVqsjeNJ6kSIZTlapIfBpPUiTDqEpVJDqNJymSYVSlKhKdxpMUyQCqUhWpHI0nKVILqUpVJDGiVrc+Alzt7pvC+f2A37v7RckMTkQqR1WqIokRtbq1Z2GCBHD3b82sxOsdIpI6VKUqUnVRk2SWme3n7t8CmFnzCmwrItWgtOeOIlI1URPd74F5ZjYjnD8T+G1yQhKRyoitYtVzR5HEiNpw51EzW8D340ee4e4rkheWiJSneOMctVoVSbwyk6SZNXL3PIAwKZZIjLHfEZHkik2MsS1WAZUeRZKgvJLks2a2mGCkjoXu/h2AmR0MHAOcBTwAzExqlCIC7F2lqharIslXZpJ09yFmdhJwMXBU2GBnN7AKeBG4wN3XJz9MkcykKlWRmlXuM0l3fwl4qRpiEcl4ZXUCAKpSFalueo1DJIWoEwCR1KIkKZJiVJ0qkjqUJEVqmDoBEEld5b0C0rys9e7+TWLDEck86gRAJHWVV5JcCDhgQAfg23C6GfA50Cmp0YlkCFWxiqSm8l4B6QRgZg8AT4ctXTGzE4HTkh+eSO0T77UOEUk9WRG/d2RhggRw938CA5MTkkjtVli9WkhVrCKpK2rDnbVmdhPweDg/ClibnJBEap/SGueoelUk9UVNkucCNwNPEzyjfD1cJiKlKKtTAJUcRdJH1FFAvgGuNrN9C/tvFZH41CmASO0QKUma2UDgQaAR0MHMegEXu/tlyQxOJJ2pSlUk/UWtbp0CnAA8B+DuS8zsR0mLSiQNqVMAkdonautW3P2LYov2JDgWkbQW22pVzx1FaoeoJckvwipXN7O6wNXA+8kLSyT1aRgrkdovaknyEuByoC2wBugN6HmkZDS97yhS+0UtSXZx91GxC8zsKOCtxIckkj5UchSp3aImyT8DfSMsE6nV1DhHJLOUNwrIAILu51qa2TUxq5oA2ckMTCQVacQOkcxSXkmyHsG7kXWAxjHLtwAjkxWUSCpTFatI5ihvFJC5wFwzm+run1VTTCIpQyN2iGS2qM8kt5nZZKAbUL9wobsfm5SoRFJE8e7lVMUqklmiJslpwHRgOMHrIBcAuckKSiSVqHpVJHNFTZL7u/tDZnZ1TBXs/LI2MLP2wKPAAQQjh9zv7n8ys+YECbcjsBo4y92/rewJiCSaWrCKSKGonQnsDn+uM7NhZtYHaF7ONvnAte7eFTgSuNzMugI3ALPc/VBgVjgvkjLUvZyIFIpakvyNmTUFriV4P7IJ8POyNnD3dcC6cHqrmb1P0GPPqcDg8GuPAHOA8RUNXCRR1L2ciMQTdTzJF8LJzcAxFT2ImXUE+gD/BQ4IEyjAeoLq2NK2GQuMBejQQWPwSWLFJsbYAZFBpUcR+V7U8SRbAmMIniMWbePuF0XYthHwFDDO3beYWdE6d3cz89K2c/f7gfsBcnJySv2OSGXFtlrVgMgiEk/U6tZngTeA16jAEFnhiCFPAdPc/R/h4q/MrI27rzOzNsCGigQskiiqUhWR8kRNkg3dvULPDS0oMj4EvO/uf4hZ9RzBKyS3hT+frch+RSpDnQKISGVEbd36gpmdVMF9HwWcDxxrZovDz0kEyfF4M/sQOC6cF0kqDWslIpURtSR5NfBLM9tJ8DqIETxSjPunuLu/GX6vNEMqFKVIBanFqogkQqSSpLs3dvcsd2/g7k3CedVVScpSyVFEEqG8obIOc/eVZlbquJHuvig5YYlUnUqOIlJV5VW3XkPwruLvS1nngDo4l5Sh7uREJNHKGyprbPizwh0IiCRb8eeOsZ0CqHpVRBIhamcClxO867gpnN8PONfd701mcCJlKT6MlToFEJFEi9q6dYy731M44+7fmtkYQElSapSeO4pIMkVNktlmZu7uAGaWDdRLXlgipdNzRxGpTlE7E3gZmG5mQ8xsCPBEuEykWmkYKxGpTlFLkuMJWrleGs7/C3gwKRGJlENVrCJSXaImyQbAA+5+HxRVt+4DbEtWYCKgPldFpGZFrW6dRZAoCzUgGBFEJKnUc46I1KSoJcn67p5XOOPueWbWMEkxSYYrrXGOqldFpCZELUl+F9s1nZn1A7YnJyTJdGqcIyKpImpJchwww8zWEozs0Ro4O2lRScZT6VFEUkGkJOnu883sMKBLuGiVu+9OXliSSdQ4R0RSVdTqVggSZFegL3Cumf0kOSFJplHjHBFJVVH7br0ZGEyQJF8CTgTeBB5NWmSSUVS9KiKpKOozyZFAL+Bdd7/QzA4AHk9eWFLbqXs5EUkHUZPkdncvMLN8M2sCbADaJzEuqWU0rJWIpKOoSXKBmTUDHgAWAnnAvKRFJbWOhrUSkXQUtXXrZeHkfWb2MtDE3ZcmLyypDdQpgIiku0itW83sOTP7sZnt6+6rlSAlCnUKICLpLmp16+8JOg/4f2Y2H3gSeMHddyQtMqkVVHoUkXQWtbp1LjA3HP3jWGAM8DCgJolSRJ0CiEhtE7UkiZk1AE4mKFH2BR5JVlCSPmITY2yLVVAVq4ikv6idCfwdOBx4GbgbmOvuBckMTNJDbKtVtVgVkdomaknyIeBcd9+TzGAkPem5o4jUVlGfSb6S7EAkPei5o4hkkop0cC6izshFJKNEbrgjmSleyVHVqyKSCaI23Jnl7kPKWya1g1qsiogEykySZlYfaAi0MLP9AAtXNQH0P2UtpRarIiKB8kqSFwPjgAMJOjYvTJJbCF4FkVpKVaoiIuUkSXf/E/AnM7vS3f9cTTFJNVOLVRGR0kV9BeTPZjYQ6Bi7jbs/mqS4pBoVH8ZKzx1FRAJRG+48BhwCLAYKOxRwQEmyllD1qohISVFfAckBurq7R92xmT0MDAc2uHv3cFlzYDpBiXQ1cJa7f1uRgCUxShvrUURE9ha1M4FlQOsK7nsqMLTYshuAWe5+KDArnJcaoLEeRUTKF7Uk2QJYYWbvADsLF7r7KfE2cPfXzaxjscWnAoPD6UeAOcD4iDFIFahTABGRiouaJCcl6HgHuPu6cHo9cEC8L5rZWGAsQIcOekevMtQpgIhI1UQedNnMDgIOdffXzKwhkF2VA7u7m1ncZ5zufj9wP0BOTk7kZ6HyPXUKICJSNVFbt44hKNU1J2jl2ha4D6hot3RfmVkbd19nZm2ADRXcXipIVaoiIpUXteHO5cBRBD3t4O4fAq0qcbzngAvC6QuAZyuxDxERkWoR9ZnkTnffZRb0SmdmdQjek4zLzJ4gaKTTwsy+BG4GbgP+bmY/BT4Dzqpk3FIK9ZwjIpJYUZPkXDP7JdDAzI4HLgOeL2sDdz83ziqNHJIk6jlHRCSxoibJG4CfAu8RdHr+EvBgsoKSytMzSBGRxImaJBsAD7v7AwBmlh0u25aswCQa9ZwjIpI8UZPkLOA4IC+cbwC8CgxMRlASX/HnjrHvP6p6VUQksaImyfruXpggcfe88F1JqWbFnzvq/UcRkeSJmiS/M7O+7r4IwMz6AduTF5aURc8dRUSqR9QkeTUww8zWAkbQ2fnZSYtKREQkBZSbJM0sC6gHHAZ0CRevcvfdyQxMRESkppWbJN29wMzucfc+BENmSZIVb5wTSy1YRUSqT+TWrXKYybcAAA1ySURBVGY2AvhHRQZelujKGrEjllqwiohUn6hJ8mLgGmCPmW0neC7p7q4iTYJoxA4RkdQTdaisxskOJNNoEGQRkdQXdagsA0YBndz912bWHmjj7u8kNbpapKxOAEDVqCIiqShqdeu9QAFwLPBrgp537gH6JymuWkedAIiIpJ+oSfIId+9rZu8CuPu3ZlYviXHVSqpOFRFJL1GT5O6wU3MHMLOWBCVLKYM6HxcRSW9ZEb93F/A00MrMfgu8CfwuaVHVEoVVrKBnjiIi6Shq69ZpZraQYMBkA05z9/eTGlkaUotVEZHapcwkaWb1gUuAHxAMuPx/7p5fHYGli7I6AVDpUUQkvZVXknwE2A28AZwI/BAYl+yg0ok6ARARqb3KS5Jd3b0HgJk9BOi9yFKoSlVEpHYqL0kWjfTh7vlBnwKZLd5zRxERqX3KS5K9zGxLOG1Ag3A+Y/tuLd4pgJ47iojUXmUmSXfPrq5A0omqV0VEMkPUzgQymjoFEBHJTFE7E8ho6hRARCQzqSQZkapYRUQyj5JkKdSCVUREQNWtpYqtXgVVsYqIZCqVJEOlNc5R9aqISGbL2CRZvEo1tt9VlRxFRAQyOEkW7xRA/a6KiEhxGZskQS1WRUSkbBmVJNUpgIiIVERGtW5VpwAiIlIRGVWSBFWxiohIdLU6Sd7y/HJWrP3+fUdVsYqISEXUSHWrmQ01s1Vm9pGZ3VBdx1UVq4iIVES1lyTNLBu4Bzge+BKYb2bPufuKRB/r5pO7JXqXIiKSQWqiuvVw4CN3/wTAzJ4ETgUSniT55w2w/r2E71ZEpFq07gEn3lbTUWS0mqhubQt8ETP/ZbhsL2Y21swWmNmC3NzcagtORESkUMo23HH3+4H7AXJycrxSO9FfYCIiUgU1UZJcA7SPmW8XLhMREUkpNZEk5wOHmlknM6sHnAM8VwNxiIiIlKnaq1vdPd/MrgBeAbKBh919eXXHISIiUp4aeSbp7i8BL9XEsUVERKLKqL5bRUREKkJJUkREJA4lSRERkTiUJEVEROIw98q9p1+dzCwX+KySm7cAvk5gOLWJrk18ujal03WJLxWvzUHu3rKmg0hnaZEkq8LMFrh7Tk3HkYp0beLTtSmdrkt8uja1k6pbRURE4lCSFBERiSMTkuT9NR1ACtO1iU/XpnS6LvHp2tRCtf6ZpIiISGVlQklSRESkUpQkRURE4kjpJGlmQ81slZl9ZGY3xCw/1swWmdkyM3vEzEp01G5mg81ss5m9G+7jdTMbXr1nkBxm1t7MZpvZCjNbbmZXx6zrZWbzzOw9M3vezJqUsn1HM9seXpv3zewdMxtdrSdRDczsYTPbYGbLii3vbWb/MbPFZrbAzA4vZdvBZvZC9UVbPcq4p94Ir8diM1trZs+Usm3hPVX4vdfKOdYkM/tFMs4j0cq5p6bHnPNqM1tcyvaF99TimE+9Mo432szuTtb5SAK5e0p+CIbR+hg4GKgHLAG6EiT2L4DO4fduBX5ayvaDgRdi5nsDq4EhNX1uCbg2bYC+4XRj4AOgazg/Hzg6nL4I+HUp23cElsXMHwwsBi6s6XNL8HX6EdA39lzD5a8CJ4bTJwFzyvv9qQ2fePdUKd97CvhJVa8JMAn4RU2fd8RY495Txb73e2BiKcv3uqciHG80cHdNn7c+5X9SuSR5OPCRu3/i7ruAJ4FTgf2BXe7+Qfi9fwEjytuZuy8mSKhXAJhZSzN7yszmh5+jwuWNzOyvYUlsqZmVu+/q5u7r3H1ROL0VeB9oG67uDLweTke9Np8A1wBXAZjZvmEp7J2wtHlquDzbzO4MS/BLzezKxJ5ZYrn768A3pa0CCkvYTYG1Ze3HzA4PS+fvmtnbZtYlXD7azP5hZi+b2YdmdkdCTyDx4t1TRcKah2OBEiXJeOLdS6HCmo0PzWxMIk4iGcq5pwAwMwPOAp6Iut9491KovZnNCa/NzQk4DUmCGhlPMqK2BCXGQl8CRxB0+1THzHLcfQEwEmgfcZ+LgOvC6T8BU9z9TTPrQDAI9A+BCcBmd+8BYGb7VflMksjMOgJ9gP+Gi5YT/Mf3DHAmFbs2h4XTvwL+7e4XmVkz4J2wau0nBH8x9/Zg8OzmiTiHGjAOeMXM7iSomRhYzvdXAoPCcz4O+B3f//HRm+D67wRWmdmf3f2LOPupafHuqVinAbPcfUucfQyKqW6c4e6/Jf69BNATOBLYF3jXzF509zL/KKlppdxThQYBX7n7h3E2PSTm2rzl7pcT/16C4I+W7sA2YH54bRYk8FQkAVI5SZbK3d3MzgGmmNk+BFVneyJubjHTxwFdgz8OAWhiZo3C5efEHO/bqkedHGG8TwHjYv5Tuwi4y8wmAM8Bu6LuLmb6f4FTYp4n1Qc6EFyb+9w9H8DdSyulpYNLgZ+7+1NmdhbwEMG5xdMUeMTMDiUohdaNWTfL3TcDmNkK4CD2TkTp5lzgwTLWv+HuxZ/tx7uXAJ519+3AdjObTZAYIpdSq1uce6rQuZRdivzY3XsXWxbvXgL4l7tvDI/7D+B/ACXJFJPKSXINe5eC2oXLcPd5BH/VYWb/S1DFGEUfgmoUCEoQR7r7jtgvxNzoKc3M6hLczNPc/R+Fy919JcGNiZl1BoZF3GXstTFghLuvKnbMqoadKi4AChtmzKDspADwa2C2u58eljLmxKzbGTO9hzS9pwDMrAVBEju9gvst614q/iJ2yr6YHe+eCtfVAc4A+lV0t5R+Lx1BGl2bTJbKzyTnA4eaWaewldg5BCUjzKxV+HMfYDxwX3k7M7OeBFWp94SLXgWujFlf+Bfgv4DLY5anXHVr+GzkIeB9d/9DsXWF1yYLuIlo16YjcCfw53DRK8CV4XEwsz7h8n8BF4f/YZDG1a1rgaPD6WOBeNVnhZryfTIZnaSYqkPceyo0kqBhzo5St44v3r0EcKqZ1Tez/Qka/syvVORJVtY9FToOWOnuX1Zw1/HuJYDjzay5mTUgqOZ+qxKhS5KlbJIMq/SuIPglex/4u7svD1dfZ2bvA0uB593933F2Myh8WL6KIDle5e6zwnVXATlhA5QVwCXh8t8A+4WNU5YAxyT+7KrsKOB84Fj7vrn5SeG6c83sA4LnaGuBv8bZxyHhtXkf+Dtwl7sXfvfXBFWKS81seTgPQYnr83D5EuDHCT+zBDKzJ4B5QBcz+9LMfhquGgP8PjyH3wFjS9m8Dt+XEu8A/p+ZvUtqlxTLVM49BUHSjNwoJUa8ewmCe3Q28B+Cltap+jyyrHsKKn9t4t1LAO8QlFyXAk/peWRqUrd0IqWw4D25tu5+fU3HIiI1J23/KhZJFjN7iKDV4Vk1HYuI1CyVJEVEROJI2WeSIiIiNU1JUkREJA4lSRERkTiUJCWlmdmesDn+cjNbYmbXhu+AlrVNRzNLqddTzOztKmw72swOrOA2Ha3Y6CciUnFKkpLqtrt7b3fvBhwPnAiU1xl0R1LsHU53L69/2LKMBiqUJEUkMZQkJW24+waCF/+vsEBHC8ZBXBR+ChPRbYQdcZvZzy0YvWSyBSNULDWzi4vv28xuM7PYnpYmmdkvLBgVZla4//csZhQHM/tJuL8lZvZYuOwAM3s6XLakMCYzywt/DrZg5IeZZrbSzKbF9MYyMYxxmZndH57jSCAHmBaeTwMz62dmc81soZm9YmZtwu37FR6XmF6jRKQKanqsLn30KesD5JWybBNwANAQqB8uOxRYEE4PZu+xRMcCN4XT+xB0It2p2D77AHNj5lcQ9HNaB2gSLmsBfETQH2c3gjEHW4Trmoc/pxN0jg3B+I1NY88jjG0zQb+pWQQ9Av1P7D7C6ceAk8PpOUBOOF0XeBtoGc6fDTwcTi8FfhROT6YC4xvqo48+pX/UmYCks7rA3WFfoXuI39H9/wI9w1IZBH2xHgp8WvgFd3/XzFqFz/5aAt+6+xcWdHr9OzP7EVBAMNzUAQR9vs5w96/D7QtHRDmWYEgx3H0PQUIs7h0P+wC1YGiljsCbwDFmdj1B8m9OMOzZ88W27ULQ0cG/wgJoNrDOgmGYmnkwhiYESfbEONdDRCJSkpS0YmYHEyTEDQTPJr8CehGUyuJ1zG3Ale7+Sjm7n0HQyXdrghIhwCiCpNnP3Xeb2WqC4Y6qosTIIWZWH7iXoMT4hZlNinMcA5a7+4C9FgZJUkQSTM8kJW2YWUuCUU3udncnKBGuc/cCgs6ps8OvbgUax2z6CnBpWCrEzDqb2b6lHGI6QUfWIwkSJuExNoQJ8hiC8SIB/g2cacHoFrEjoswiGK+S8Flo04inV5gQv7ZgTMORMetiz2cV0NLMBoTHqGtm3dx9E7DJzP4n/N6oiMcVkTIoSUqqa1D4CgjwGsGwTLeE6+4FLggbqhwGfBcuXwrsCRux/Jxg9JIVwKLwtYj/o5RaFA9GxGgMrHH3deHiaQQjXLxHUI26Mua7vwXmhscvHF7paoJq0/eAhUDXKCcZJrkHgGUEST12SKmpwH1h1Ww2QQK9PTzuYqCwwdKFwD3h92rN4J8iNUl9t4qIiMShkqSIiEgcSpIiIiJxKEmKiIjEoSQpIiISh5KkiIhIHEqSIiIicShJioiIxPH/AQxe6EPFC6K3AAAAAElFTkSuQmCC\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6750,7 +7719,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6774,7 +7743,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6798,7 +7767,7 @@
     },
     {
      "data": {
-      "image/png": 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dygcffFDiuGMJsWnTpmzZsmWvHr3xsXfs2JGcnJy8JLlr1y4WL9aUqCKSWLKS5NPh73tSHUhZOO+88zjllFPo0qUL2dnZHHrooQA0adKEo446is6dO3PSSScxZswYPv3007yqzrp16/LMM8/wxRdfcN1111GlShWqV6/O3/72NwBGjBjBgAEDOOCAA5gxY0be9WrVqsUTTzzB2Wefze7du+nVqxeXXnopEJSsBg0axPjx43nyyaAPVLNmzRg/fjxDhgzhxx+DMXv//Oc/51XXxvvTn/7EEUccQbNmzTjiiCMSJrGiuPzyyxk8eDBPPfUUAwYMyCu5du3alapVq9KtWzeGDRuWVw0NP3XQ6dq1K3Xq1Mm7l0QGDBjAww8/zM9//nM6duzIkUceWeK4GzZsyPDhw+ncuTMtWrSgV69eefuGDRvGpZdeSu3atZk9ezaTJ0/mqquuYuPGjezevZuRI0eSlZVV4hhEpGKyKLWoZna1u9+XbFuqZGdn+9y5c8viUiKSKZ4YGPy+8PXCP1eJmdk8d89OdxyZLOorIEML2DasFOMQEZE4t726mNteVXNAuhVa3WpmQ4BfA+3ytUHWI3hXskysX7+e8ePH77UtKyuLXr16JWyT6969O927d2fbtm0899xz++zPzs6mc+fObNy4Ma+nZbzevXvTsWNH1q1bx2uvvbbP/qOPPpr27duzevVqpkyZss/+/v3706ZNG7799lumT5++z/4BAwbQokULvvrqK95+++199g8aNIimTZuybNmyAjuanHHGGTRo0IBFixZRUCn7nHPOoU6dOixYsIAFCxbss/+8886jevXqzJkzp8B2uWHDhgHw/vvv79MuWq1atbx3F2fNmsXXX3+91/7atWvn9cSdNm0a33333V7769evn9e7dsqUKaxevXqv/U2aNMnrmfrqq6+yfv36vfa3aNGCAQMGAPDCCy/k9aaNad26NccffzwAEydOZPv27Xvtb9euXV7b8DPPPJPXcSmmQ4cO9OnTB2Cff3egf3vl5t/esvV8nbMdbHze/or0b+/1yUEHvoPW/yxvf0n/7UnRJWuTfB9YBTQF/hK3fTOwMFVBiYhURlMXr+a+T4I/TFZu3M4BDWqnOSKJ1CaZbmqTFJF9VMA2yV/9fTZLVm2iU8ugh/hp3Vvx6yMOLPb51CZZcpHekzSzI4G/Aj8HagBVga3unrivv4iIFOof//kvLy9YkbceS5ATL+ldyFFSlqJ23HkAGAJ8DtQGfgM8GOVAM6tqZh+Z2Wvhejsz+4+ZfWFmE82sRnECFxHJdC8vWMGSVT+1a3ZqWZ/TurdKY0SSX9QRd3D3L8ysqrvvAZ4ws4+AGyMcejXwKcH4rxCM+zrW3Z81s4eBi4G/FTFuEZEKQSXH8i1qktwWlvgWmNndBJ15kpZCzaw1MBC4A7jGgvHFjiPoMQvBTCKjUZIUkUoivoo1vv1Ryqeo1a0XELRDXgFsBdoAgws9InAvcD2QG643ATa4e6zf83dAgXULZjbCzOaa2dycnJyIYYqIlG/xVayqXi3/IpUk3f2bcHE7cFuUY8xsELDW3eeZWb+iBubu44BxEPRuLerxIiLllapYM0eywQQ+ARImKHfvWsjhRwGnmtnJQC2CNsn7gIZmVi0sTbYGVhRyDhGRjJaoB6tkhmQlyUHFPbG730jYsScsSf7e3c8zs0nAWcCzBMPdvVzca4iIlHex6tVYYlQVa2YpNEnGVbOWplHAs2b2Z+Aj4LEUXENEJG0K6pyj6tXMFHUwgc38VO1aA6hOEQYTcPeZwMxw+Svg8KIGKiKSKeJLjyo5ZraoHXfqxZbD1zhOA0o+EaCISAWgkXMqrqivgOTxwEvAiSmIR0Qk42jknIoranXrmXGrVYBsYEdKIhIRyUAqOVZMUUfcOSVueTewnKDKVUSkUshfpRpPr3VUXFHbJC9MdSAiIuVZ/lc54ql6teKKWt3aDrgSaBt/jLufmpqwRETST69ySNTq1pcI3md8lZ/GYRURqVDyV6n+5+vvATiiXWOVFiupqElyh7vfn9JIRETSLH+V6hHtGnNa91b8+ogD0xyZpEvUJHmfmd0KTAV+jG109/kpiUpEJE1UpSrxoibJLgTTZR3HT9WtHq6LiGQkDT4uyURNkmcD7d19ZyqDEREpSxp8XJKJmiQXAQ2BtSmMRUSkzKl6VQoTNUk2BJaa2Rz2bpPUKyAiklEKeq1DJJGoSfLWlEYhIlJGNEOHFEXUEXdmpToQEZFU0AwdUhJlMp+kiEhZik+M8QMCgDrnSNFoPkkRqXDiq1Q1IICURNQ2yTzu7sBL4eACN5R+SCIiRaMqVUkVzScpIhlpzeYdrNvyI7f/fbaqVCVlNJ+kiGSE/KXF363bmresKlVJFc0nKSLlVmEdcOrVqkbTujVVpSopFbW69UnganffEK43Av7i7helMjgRqdwK7YDzRIP0BieVQtTq1q6xBAng7j+Y2WEpiklEJI864Eg6RU2SVcyskbv/AGBmjYtwrIhIJJqVQ8qbqInuL8BsM5sUrp8N3JGakESkMtGL/1KeRe2485SZzeWn+SPPdPclqQtLRCqq/KXF+MSoXqpS3hSaJM2srrtvAQiT4j6JMf4zIiLJ5J/DUYlRyrNkJcmXzWwB8DIwz923AphZe+BY4BzgEWBySqMUkQpFnXEkUxSaJN29v5mdDFwCHBV22NkFLANeB4a6++rUhykimUxzOEqmStom6e5vAG8U9cRmVgt4G6gZXmeyu99qZu2AZ4EmwDzgAnffWdTzi0j5VVi7ozrjSCZJ5WscPwLHufsWM6sOvGtm/wKuAca6+7Nm9jBwMfC3FMYhImVM7Y5SUaQsSYazhcQ69FQPf5ygh+yvw+1PAqNRkhSpcNTuKBVBSgcEMLOqBFWqPwMeBL4ENrj77vAj3wEF1ruY2QhgBMCBB+qvT5HyJn+Vajy1O0pFkewVkMaF7Xf375Ps3wN0N7OGwIvAoVEDc/dxwDiA7Oxsj3qciKRGYe2M+andUSqKZCXJeQRVpAYcCPwQLjcE/gu0i3IRd99gZjOA3kBDM6sWliZbAwX/KSoiaVfYaDhqZ5TKINkrIO0AzOwR4MWwpytmdhJwemHHmlkzYFeYIGsDJwB3ATOAswh6uA4leAdTRMqhQmfhEKkEorZJHunuw2Mr7v4vM7s7yTEtgSfDdskqwHPu/pqZLQGeNbM/Ax8BjxUncBEpfYkGGFcHHKmsoibJlWZ2E/BMuH4esLKwA9x9IbDPdFru/hVweFGCFJHU0QDjIolFTZJDgFsJOt84wSABQ1IVlIikjgYYF4ku6iwg3wNXm9l+sfFbRSRzqAOOSPFESpJm1gd4FKgLHGhm3YBL3P3yVAYnIqVDHXBEiidqdetY4ETgFQB3/9jMjk5ZVCJSIuqAI1I6qkT9oLt/m2/TnlKORURKSazkGKMOOCLFE7Uk+W1Y5erhYOVXA5+mLiwRKaqCpqNSyVGkZKImyUuB+wjGWV0BTAXUHimSRpqOSiT1oibJju5+XvwGMzsKeK/0QxKRKDQdlUjqRU2SfwV6RNgmIimkKlWRspVsFpDeQB+gmZldE7erPlA1lYGJiKpURdItWUmyBsG7kdWAenHbNxEMUi4ipSjZdFSqUhUpW8lmAZkFzDKz8e7+TRnFJFJpqZ1RpHyJ2ia5zczGAFlArdhGdz8uJVGJVGJqZxQpP6ImyQnARGAQwesgQ4GcVAUlUpkU1BlHRMqHqCPuNHH3xwgmUZ7l7hcBKkWKlIL40XHUGUekfIlaktwV/l5lZgMJ5pJsnJqQRCo2jasqkjmiJsk/m1kD4FqC9yPrA79LWVQiFVj+zjkqPYqUX1Hnk3wtXNwIHJu6cEQqJg0CIJKZos4n2QwYDrSNPyZsmxSRfDQIgEjFELW69WXgHWAamiJLJCm97yhSMURNknXcfVRKIxHJcKpSFal4or4C8pqZnZzSSEQynF7lEKl4opYkrwb+YGY/ErwOYoC7u956lkpLr3KIVHyRSpLuXs/dq7h7bXevH64rQUqlFl9yBJUeRSqiZFNlHeruS82swHkj3X1+asISKZ/U7ihSuSSrbr0GGAH8pYB9joamk0omvteqSo4iFV+yqbJGhL81gIBISKVHkcoj6mACvwUmuPuGcL0RMMTdH0plcCLplqhzjohUDlFfARkeS5AA7v4DwQg8IhWaOueIVG5RXwGpambm7g5gZlWBGoUdYGZtgKeA/QnaL8e5+31m1phgbsq2wHLgnDDpipQL6pwjIjFRk+QUYKKZ/T1cvyTcVpjdwLXuPt/M6gHzzOwtYBgw3d3vNLMbgBsAjeYjaaNxVkUkkahJchRBL9fLwvW3gEcLO8DdVwGrwuXNZvYp0Ao4DegXfuxJYCZKkpJGGmdVRBKJmiRrA4+4+8OQV91aE9gW5WAzawscBvwH2D9MoACrCapjCzpmBEFi5sAD9T8rKV2qUhWRKKJ23JlOkChjahPMCJKUmdUFngdGuvum+H1hG6cXdJy7j3P3bHfPbtasWcQwRaLROKsiEkXUkmQtd98SW3H3LWZWJ9lBZladIEFOcPcXws1rzKylu68ys5bA2iJHLVJEGmdVRIojaklya/zQdGbWE9he2AFmZsBjwKfu/n9xu14BhobLQwnmqhRJKb3KISLFEbUkORKYZGYrCWYAaQH8KskxRwEXAJ+Y2YJw2x+AO4HnzOxi4BvgnCJHLZKESo4iUhoiJUl3n2NmhwIdw03L3H1XkmPeJUioBekfPUSRosvfY1UlRxEpjqglSQgSZCegFtDDzHD3p1ITlkjRqceqiJS2qGO33krwbmMn4A3gJOBdghF1RNJCgwCISKpFLUmeBXQDPnL3C81sf+CZ1IUlkpwGARCRVIuaJLe7e66Z7Taz+gSvbbRJYVwikahKVURSKWqSnGtmDYFHgHnAFmB2yqISSaCgdkcRkVSJ2rv18nDxYTObAtR394WpC0ukYPFVrGp3FJFUi9px5xXgWeBld1+e0ohE4uh9RxFJp6gj7vwF+AWwxMwmm9lZZlYrhXGJABopR0TSK2p16yxgVjj7x3HAcOBxQA1CUur0vqOIlBdRS5KYWW1gMHAp0ItgLkiRUqcZOkSkvIjaJvkccDgwBXgAmOXuuakMTCoPtTuKSHkV9RWQx4Ah7r4nlcFI5aRxVkWkvIraJvlmqgORyk0lRxEpj4oywLlIqdGgACKSCZQkpUxoMHIRyURRO+5Md/f+ybaJxItPjPFJMfZbg5GLSHlXaJIMBwyoAzQ1s0b8NIlyfUB/+kuh4jvkKCmKSCZKVpK8BBgJHEAwsHksSW4ieBVEpFDqkCMimazQJOnu9wH3mdmV7v7XMopJMlSi9x1FRDJV1FdA/mpmfYC28ce4+1MpiksyRGHtjuqQIyKZLmrHnaeBg4EFQGxAAQeUJCs5tTuKSEUW9RWQbKCTu3sqg5HMpHZHEamooibJRUALYFUKY5EMoHZHEalMoibJpgRzSX4I/Bjb6O6npiQqKTcKGwQA1O4oIhVb1CQ5OpVBSPmVf/BxtTuKSGUSedJlMzsIOMTdp5lZHaBqakOTdNGkxyIigUiTLpvZcGAy8PdwUyvgpVQFJemlSY9FRAJRq1t/SzDp8n8A3P1zM2uesqikTGnSYxGRgkUqSQI/uvvO2IqZVSN4TzIhM3vczNaa2aK4bY3N7C0z+zz83ah4YUtpii85gkqPIiIxUUuSs8zsD0BtMzsBuBx4Nckx4wnGd40fcOAGYLq732lmN4Tro4oWspQGtTuKiCQXNUneAFwMfEIw6PkbwKOFHeDub5tZ23ybTwP6hctPAjNRkiwTms9RRKTooibJ2sDj7v4IgJlVDbdtK+L19nf32IAEq4H9i3i8FJNe5RARKbqoSXI6cDywJVyvDUwF+hT3wu7uZpawXdPMRgAjAA48UP8jLw5VqYqIlEzUjju13D2WIAmX6xTjemvMrCVA+Httog+6+zh3z3b37GbNmhXjUqJXOURESiZqSXKrmfVw9/kAZtYT2F6M670CDAXuDH+/XIxzSAJ6lUNEpHRFTZJXA5PMbCVgBIOd/6qwA8zsnwSddJqa2XfArQTJ8Tkzuxj4BjinmHFLAfK3O7k+qfQAAA26SURBVKr0KCJSMkmTpJlVAWoAhwIdw83L3H1XYce5+5AEu/oXKUIpEpUcRURKT9Ik6e65Zvagux9GMGWWlCMFdc4REZHSEbl3q5kNBl7QxMvppfcdRUTKTtQkeQlwDbDHzLYTtEu6u6vYUsb0vqOISNmJOlVWvVQHItGp3VFEpGxEnSrLzOx8M7s5XG9jZoenNjQREZH0ilrd+hCQCxwH/Ilg5J0HgV4piqtSy9/uGE+dc0REyk7UJHmEu/cws48A3P0HM6uRwrgqnfjEGN8ZJz91zhERKTtRk+SucFBzBzCzZgQlSymmwnqpqjOOiEj5EDVJ3g+8CDQ3szuAs4CbUhZVJaBeqiIi5V/U3q0TzGwewWg5Bpzu7p+mNLIKRuOqiohknkKTpJnVAi4FfkYw4fLf3X13WQRW0WhcVRGRzJOsJPkksAt4BzgJ+DkwMtVBVRSaz1FEJLMlS5Kd3L0LgJk9BnyY+pAyl4aMExGpWJIlybyZPtx9t5mlOJzMps44IiIVS7Ik2c3MNoXLBtQO1zV2a0hVqiIiFVehSdLdq5ZVIJkqvvSoKlURkYol6nuSEtKrHCIilUekAc7lJ7GSY4xKjyIiFZdKksWgkqOISOWgJBlBQZ1zRESk4lN1awTxVayqXhURqTxUkiyAOueIiAgoSeYpbD5HlR5FRConJclQ/PuOGilHRESgEidJVamKiEgylbbjjt53FBGRZCpVSVLjrIqISFFUqpKkXuUQEZGiqFQlSdBoOSIiEl1akqSZDQDuA6oCj7r7nam4zm2vLmbJyp/aHTVajoiIFEWZV7eaWVXgQeAkoBMwxMw6lcW1VcUqIiJFkY6S5OHAF+7+FYCZPQucBiwp7QvdWu1pqPHJ3huXpOJKIlLmVn8CLbqkOwqp4NLRcacV8G3c+nfhtr2Y2Qgzm2tmc3NycsosOBHJEC26QJez0h2FVHDltuOOu48DxgFkZ2d7sU5yUkqaOkVEpJJIR0lyBdAmbr11uE1ERKRcSUeSnAMcYmbtzKwGcC7wShriEBERKVSZV7e6+24zuwJ4k+AVkMfdfXFZxyEiIpJMWtok3f0N4I10XFtERCSqSjUsnYiISFEoSYqIiCSgJCkiIpKAkqSIiEgC5l689/TLkpnlAN8U8/CmwLpSDKci0bNJTM+mYHouiZXHZ3OQuzdLdxCZLCOSZEmY2Vx3z053HOWRnk1iejYF03NJTM+mYlJ1q4iISAJKkiIiIglUhiQ5Lt0BlGN6Nonp2RRMzyUxPZsKqMK3SYqIiBRXZShJioiIFIuSpIiISALlOkma2QAzW2ZmX5jZDXHbjzOz+Wa2yMyeNLN9Bmo3s35mttHMPgrP8baZDSrbO0gNM2tjZjPMbImZLTazq+P2dTOz2Wb2iZm9amb1Czi+rZltD5/Np2b2oZkNK9ObKANm9riZrTWzRfm2dzezD8xsgZnNNbPDCzi2n5m9VnbRlo1CvlPvhM9jgZmtNLOXCjg29p2KfW5akmuNNrPfp+I+SluS79TEuHtebmYLCjg+9p1aEPdTo5DrDTOzB1J1P1KK3L1c/hBMo/Ul0B6oAXwMdCJI7N8CHcLP3Q5cXMDx/YDX4ta7A8uB/um+t1J4Ni2BHuFyPeAzoFO4Pgc4Jly+CPhTAce3BRbFrbcHFgAXpvveSvk5HQ30iL/XcPtU4KRw+WRgZrJ/PxXhJ9F3qoDPPQ/8T0mfCTAa+H267ztirAm/U/k+9xfglgK27/WdinC9YcAD6b5v/ST/Kc8lycOBL9z9K3ffCTwLnAY0AXa6+2fh594CBic7mbsvIEioVwCYWTMze97M5oQ/R4Xb65rZE2FJbKGZJT13WXP3Ve4+P1zeDHwKtAp3dwDeDpejPpuvgGuAqwDMbL+wFPZhWNo8Ldxe1czuCUvwC83sytK9s9Ll7m8D3xe0C4iVsBsAKws7j5kdHpbOPzKz982sY7h9mJm9YGZTzOxzM7u7VG+g9CX6TuUJax6OA/YpSSaS6LsUitVsfG5mw0vjJlIhyXcKADMz4Bzgn1HPm+i7FGpjZjPDZ3NrKdyGpEBa5pOMqBVBiTHmO+AIgmGfqplZtrvPBc4C2kQ853zgunD5PmCsu79rZgcSTAL9c+BmYKO7dwEws0YlvpMUMrO2wGHAf8JNiwn+x/cScDZFezaHhst/BP7t7heZWUPgw7Bq7X8I/mLu7sHk2Y1L4x7SYCTwppndQ1Az0SfJ55cCfcN7Ph74X37646M7wfP/EVhmZn91928TnCfdEn2n4p0OTHf3TQnO0TeuunGSu99B4u8SQFfgSGA/4CMze93dC/2jJN0K+E7F9AXWuPvnCQ49OO7ZvOfuvyXxdwmCP1o6A9uAOeGzmVuKtyKloDwnyQK5u5vZucBYM6tJUHW2J+LhFrd8PNAp+OMQgPpmVjfcfm7c9X4oedSpEcb7PDAy7n9qFwH3m9nNwCvAzqini1v+JXBqXHtSLeBAgmfzsLvvBnD3gkppmeAy4Hfu/ryZnQM8RnBviTQAnjSzQwhKodXj9k13940AZrYEOIi9E1GmGQI8Wsj+d9w9f9t+ou8SwMvuvh3YbmYzCBJD5FJqWUvwnYoZQuGlyC/dvXu+bYm+SwBvufv68LovAL8AlCTLmfKcJFewdymodbgNd59N8FcdZvZLgirGKA4jqEaBoARxpLvviP9A3Be9XDOz6gRf5gnu/kJsu7svJfhiYmYdgIERTxn/bAwY7O7L8l2zpGGXF0OBWMeMSRSeFAD+BMxw9zPCUsbMuH0/xi3vIUO/UwBm1pQgiZ1RxPMW9l3K/yJ2uX0xO9F3KtxXDTgT6FnU01Lwd+kIMujZVGbluU1yDnCImbULe4mdS1Aywsyah79rAqOAh5OdzMy6ElSlPhhumgpcGbc/9hfgW8Bv47aXu+rWsG3kMeBTd/+/fPtiz6YKcBPRnk1b4B7gr+GmN4Erw+tgZoeF298CLgn/h0EGV7euBI4Jl48DElWfxTTgp2QyLEUxlYWE36nQWQQdc3YUeHRiib5LAKeZWS0za0LQ8WdOsSJPscK+U6HjgaXu/l0RT53ouwRwgpk1NrPaBNXc7xUjdEmxcpskwyq9Kwj+kX0KPOfui8Pd15nZp8BC4FV3/3eC0/QNG8uXESTHq9x9erjvKiA77ICyBLg03P5noFHYOeVj4NjSv7sSOwq4ADjOfupufnK4b4iZfUbQjrYSeCLBOQ4On82nwHPA/e4e++yfCKoUF5rZ4nAdghLXf8PtHwO/LvU7K0Vm9k9gNtDRzL4zs4vDXcOBv4T38L/AiAIOr8ZPpcS7gf9nZh9RvkuKhUrynYIgaUbulBIn0XcJgu/oDOADgp7W5bU9srDvFBT/2ST6LgF8SFByXQg8r/bI8knD0okUwIL35Fq5+/XpjkVE0idj/yoWSRUze4yg1+E56Y5FRNJLJUkREZEEym2bpIiISLopSYqIiCSgJCkiIpKAkqSUa2a2J+yOv9jMPjaza8N3QAs7pq2ZlavXU8zs/RIcO8zMDijiMW0t3+wnIlJ0SpJS3m139+7ungWcAJwEJBsMui3l7B1Od082PmxhhgFFSpIiUjqUJCVjuPtaghf/r7BAWwvmQZwf/sQS0Z2EA3Gb2e8smL1kjAUzVCw0s0vyn9vM7jSz+JGWRpvZ7y2YFWZ6eP5PLG4WBzP7n/B8H5vZ0+G2/c3sxXDbx7GYzGxL+LufBTM/TDazpWY2IW40llvCGBeZ2bjwHs8CsoEJ4f3UNrOeZjbLzOaZ2Ztm1jI8vmfsusSNGiUiJZDuubr0o5/CfoAtBWzbAOwP1AFqhdsOAeaGy/3Yey7REcBN4XJNgkGk2+U752HArLj1JQTjnFYD6ofbmgJfEIzHmUUw52DTcF/j8PdEgsGxIZi/sUH8fYSxbSQYN7UKwYhAv4g/R7j8NHBKuDwTyA6XqwPvA83C9V8Bj4fLC4Gjw+UxFGF+Q/3oRz8F/2gwAclk1YEHwrFC95B4oPtfAl3DUhkEY7EeAnwd+4C7f2RmzcO2v2bAD+7+rQWDXv+vmR0N5BJMN7U/wZivk9x9XXh8bEaU4wimFMPd9xAkxPw+9HAMUAumVmoLvAsca2bXEyT/xgTTnr2a79iOBAMdvBUWQKsCqyyYhqmhB3NoQpBkT0rwPEQkIiVJyShm1p4gIa4laJtcA3QjKJUlGpjbgCvd/c0kp59EMMh3C4ISIcB5BEmzp7vvMrPlBNMdlcQ+M4eYWS3gIYIS47dmNjrBdQxY7O6999oYJEkRKWVqk5SMYWbNCGY1ecDdnaBEuMrdcwkGp64afnQzUC/u0DeBy8JSIWbWwcz2K+ASEwkGsj6LIGESXmNtmCCPJZgvEuDfwNkWzG4RPyPKdIL5KgnbQhtEvL1YQlxnwZyGZ8Xti7+fZUAzM+sdXqO6mWW5+wZgg5n9IvzceRGvKyKFUJKU8q527BUQYBrBtEy3hfseAoaGHVUOBbaG2xcCe8JOLL8jmL1kCTA/fC3i7xRQi+LBjBj1gBXuvircPIFghotPCKpRl8Z99g5gVnj92PRKVxNUm34CzAM6RbnJMMk9AiwiSOrxU0qNBx4Oq2arEiTQu8LrLgBiHZYuBB4MP1dhJv8USSeN3SoiIpKASpIiIiIJKEmKiIgkoCQpIiKSgJKkiIhIAkqSIiIiCShJioiIJKAkKSIiksD/B4M0tVa4mY2RAAAAAElFTkSuQmCC\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6822,7 +7791,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6846,7 +7815,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6870,7 +7839,7 @@
     },
     {
      "data": {
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\n",
+      "image/png": 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s6UOHDm06YMCAr+rXr7/z008/rVmrVi3fvn27NW7cuOTXv/71VwcddNCOYcOGNSzPdcqqSb7v7jcl2XeXmTUG1H4gIsLuTazqvZpaBQUF3qlTpw0HHnjgjho1anD++edvmDdvXkHHjh2PAqhTp87OkSNHfrpw4cL9fve73zWvVq0aNWrU8AcffLBcE4GXa4JzM6vj7pvLWZYK06LLIpKpMnl6uVye4HzHjh0cffTRbUaPHv1xYWHh1oqer0ITnJtZJzObDywM37czswcrGpSISLbT2MeqN2PGjILvfe97hSeddNKGykiQpYnau/Vu4EzgJQB3n21mJ6csKhGRLJJJtcd8cOyxx25ZunTph1Vxrcgz7rj7nr2YdlRyLCIikvl27ty509IdRGUKy7Mz0b6oSfILM+sEuJnVNLPrgQWVFaCIiGSNuWvWrKmfK4ly586dtmbNmvoEQxv3ErW59XKCtSCbEaz/+AZwZaVEKCKShfacai5flJSU/M/KlSsfW7lyZVtyY/7vncDckpKS/0m0M2qStHAtSBGRvJUXU82V4dhjj10N9Eh3HFUlapKcbGZLgFHA8+6+LnUhiYhkJk01l38iJUl3b2VmxwF9gD+Ew0GecfenUhqdiEiaZfI4SEm9yBOcu/v7wPtm9lfgLmAEoCQpIjkjPiHGxDerahxk/omUJM2sHtCToCb5feBF4LgUxiUiUuUSdcRRs2p+i1qTnA2MAf7s7lNSGI+ISJVSc6qUJmqSPMLLM8mriEgGS9ZLVc2psqeylsr6u7sPBF4ys72SpLvnTTdgEckd6qUqUZVVk3wy/PeOVAciIpJqe04AoGZVKUupSdLdZ4Qvi9z9nvh9ZnYN8FaqAhMRqWzxCVLNqhJF1GeSFxNMSxevX4JtIiIZRR1zpCLKeiZ5EfAzoKWZvRS3qy7wVSoDE8kb05+AD59LdxQ5ZdXGLazdFCwzeMSWEq4F6hbUgFrQcOt+8ERBegOMqkkhnHVruqPIa2XVJN8FVgANgTvjtm8E5qQqKJG88uFzsPLD4BeiVIq1m7ayedsO6tSqTt2CGjQ8YD8OqZsliVEySlnPJD8DPgPUNiGSSk0K4ZJX0x1FVtutWXWbmlWlckSdcecE4D7gh0AtoDrwjbvnz/owIpKRYslR4x0lFaJ23LmfYEq60UAx8EugVaqCEhGJKtZjVeMdJRXKM8H5YjOr7u47gCfM7APgd6kLTUQkMfVYlaoSNUluNrNawCwzu42gM08urEgtIllCU8lJOkRNkr8geA55FXAtcBhwQaqCEhHZk6aSk3SIuujyZ+HLb4E/pS4cEZHvqFlV0q2syQQ+BJKu/uHux1R6RCIiofjao5pVJR3Kqkl2r5IoRETiaCJyyRRRJhMQEUm5ZB1zVHuUdIo6mcBGvmt2rQXURJMJiEglUsccyURRO+7Ujb02MwPOA05IVVAikh/UMUcyXeTJBGLc3YExZnYTcEOyz5lZATAJ2C+8znPufpOZtQSeAQ4GZgC/cPdt+xK8iGQfjXeUbBK1ufX8uLfVCKam21LGYVuB0919k5nVBN4xs38B1wF3u/szZvYw8CvgofKHLiLZSM2qkk2i1iTPjXtdAiwhaHJNKqxxbgrf1gy/HDidYI1KgBHAUJQkRXKeeqxKNor6TPKSfTm5mVUnaFL9AfAA8DGwzt1Lwo8sBRK2r5jZAGAAwOGH669MkWykHquS7aI2t7YErgZaxB/j7j1KOy6cDL3IzA4EXgSOihqYuz8CPAJQXFycdEIDEclcalqVbBe1uXUMMAx4GdhZ3ou4+zozm0CwePOBZlYjrE02B5aV93wikrnUY1VySdQkucXd7y3Pic2sEbA9TJC1gTOAvwETgF4EPVwvBsaW57wiktk0lZzkkqhJ8p5wyMcbBL1WAXD3maUccygwInwuWQ141t1fMbP5wDNmdgvwAUENVURyiGqPkiuiJslCguWyTue75tZYT9WE3H0O0D7B9k+A48oXpohkskRNrCK5IGqS7A0coUH/IpKImlglV0VNknOBA4HVKYxFRLKMxj5KrouaJA8EFprZNHZ/JlnqEBARyT0a+yj5JGqSvCmlUYhI1tDYR8knUWfceSvVgYhI5tLYR8lX1aJ8yMw2mtmG8GuLme0wsw2pDk5EMkOs9gioY47kFa0nKSKRqPYo+Shl60mKSHbT2EeR1K4nKSJZTGMfRVK4nqSIZCeNfRT5TkrXkxSR7KCxjyKJRW1uHQFc4+7rwvcHAXe6+6WpDE5EqobGPookFrW59ZhYggRw96/NbK/Jy0Uke6lpVWRvUZNkNTM7yN2/BjCzBuU4VkQykHqvipQtaqK7E5hiZqPD972Bv6QmJBGpCuq9KlK2qB13/mlm0/lu/cjz3X1+6sISkVTQ9HIi5VNqkjSzA9x9E0CYFPdKjPGfEZHMEZ8QY+J7rqr2KFK2smqSY81sFjAWmOHu3wCY2RHAacCFwKPAcymNUkTKLb45NUY9V0XKp9Qk6e5dzOxs4DKgc9hhZzuwCHgVuNjdV6Y+TBHZF2pOFamYMp9JuvtrwGtVEIuIiEhG0TAOkRyiYR0ilUtJUiQHxJKjOuaIVC4lSZEcEOuko445IpWrrCEgDUrb7+5fVW44IhKVxjyKpF5ZNckZgAMGHA58Hb4+EPgcaJnS6ERkN8lW61DTqkhqlDUEpCWAmT0KvBj2dMXMzgJ+kvrwRCSeVusQqVpRn0me4O79Y2/c/V9mdluKYhKROGpWFUmfqElyuZndCDwVvu8LLE9NSCIC6rEqkgmiJsmLgJuAFwmeUU4Kt4lIiqjHqkj6RV0F5CvgGjPbPzZ/q4hUPjWtimSWalE+ZGadzGw+sCB8387MHkxpZCJ5KFZ7BNS0KpIBoja33g2cCbwE4O6zzezklEUlkkdWbdzC2k1b+fM/pqj2KJJhIs+44+5fmFn8ph2VH45IfohvVr127XdPMFR7FMksUZPkF2bWCXAzqwlcQ9j0KiLlFz/esW5BDRoesJ9qjyIZKGqSvBy4B2gGLAPeAH6dqqBEclWsBrlbs+oT9dMdlogkETVJtnb3vvEbzKwzMLnyQxLJfvHNqfHixzyqWVUk80VNkvcBHSJsExF2b06NpzGPItmlrFVATgQ6AY3M7Lq4XfWA6qkMTCTbaIyjSO4pqyZZCzgg/FzduO0bgF6lHWhmhwH/BA4hmKXnEXe/J1x+axTQAlgCXOjuX+9L8CLpkqg5VdPHieSeslYBeQt4y8yGu/tn5Tx3CfAbd59pZnWBGWb2JtAPGO/ut5rZDcANwOB9iF0kbRI1p6opVST3RH0mudnMbgeOBgpiG9399GQHuPsKYEX4eqOZLSDoHXsecGr4sRHARJQkJQuoOVUk/0Salg4YCSwkWGT5TwTNpNOiXsTMWgDtgfeAQ8IECrCSoDk20TEDzGy6mU1fs2ZN1EuJpIymjBPJP1Frkge7+zAzuyauCTZSkjSzA4DngYHuviF+1h53dzPzRMe5+yPAIwDFxcUJPyOSaqo9iuS3qElye/jvCjM7h2AtyQZlHRTOzvM8MNLdXwg3rzKzQ919hZkdCqwub9Aiqaa1HEUEoifJW8ysPvAbgvGR9YBrSzvAgirjMGCBu98Vt+sl4GLg1vDfseUNWiTVtJajiED09SRfCV+uB06LeO7OwC+AD81sVrjt9wTJ8Vkz+xXwGXBh9HBFqo6aVkUkUpI0s0ZAf4KxjbuOcfdLkx3j7u8AlmR3l+ghilSNRM8fRSS/RW1uHQu8DYxDS2RJjoof+6jnjyIC0ZNkHXfXWEbJOeq9KiKliZokXzGzs939tZRGI1IF4hOjeq+KSGmiJslrgN+b2VaC4SBGMMxRD20k68Q3q6r3qoiUJmrv1rplf0oke6hZVUSiKGuprKPcfaGZJVw30t1npiYsERGR9CurJnkdMAC4M8E+B5JOcC6SaWLPIjW8Q0SiKmuprAHhv1EnEBDJKMk66aiDjohEEXUygSsJ5l9dF74/CLjI3R9MZXAiFaVOOiJSEVF7t/Z39wdib9z9azPrDyhJSsbR2EcRqSxRk2R1MzN3dwAzqw7USl1YIuWjsY8ikgpRk+TrwCgz+0f4/rJwm0hGULOqiKRC1CQ5mKCX6xXh+zeBx1ISkUgZ4muNMWpWFZFUiJokawOPuvvDsKu5dT9gc6oCE0km0TAONauKSCpETZLjga7ApvB9beANoFMqghIpi2qNIlIVoibJAnePJUjcfZOZ1UlRTCJ70VqPIpIO1SJ+7pv4qenM7Fjg29SEJLK3WBMrqGlVRKpO1JrkQGC0mS0nWAGkCfDTlEUlgsY7ikj6RV0FZJqZHQW0DjctcvftqQtL8lksOWq8o4ikW9SaJAQJsg1QAHQwM9z9n6kJS/JZrGlV4x1FJN2izt16E3AqQZJ8DTgLeAdQkpRKoaZVEclEUTvu9AK6ACvd/RKgHVA/ZVFJ3lHHHBHJRFGbW791951mVmJm9YDVwGEpjEvykGqPIpJpoibJ6WZ2IPAoMINgUoEpKYtK8oLGPopIpovau/XX4cuHzex1oJ67z0ldWJKrtFqHiGSTqB13XgKeAca6+5KURiQ5Tat1iEg2idrceifB5AH/Z2bTCBLmK+6+JWWRSU6J1SDVc1VEsknU5ta3gLfC1T9OB/oDjwN6iCSRxCdINauKSLaIPJmAmdUGziWoUXYARqQqKMkNGvsoItku6jPJZ4HjgNeB+4G33H1nKgOT7KSOOSKSS6LWJIcBF7n7jlQGI9lPHXNEJJdEfSb571QHIrlDzaoikivKM8G5SFJ79l4VEckFUeduFSmVeq+KSC6K2nFnvLt3KWub5Bf1XhWRXFdqkjSzAqAO0NDMDgIs3FUPUHUhD6n3qojkk7JqkpcBA4GmBBObx5LkBoKhIJJn1HtVRPJJqUnS3e8B7jGzq939viqKSTKcmlVFJF9EHQJyn5l1AlrEH+Pu/0x2jJk9DnQHVrt723BbA2BUeJ4lwIXu/vU+xi4iIpJSUTvuPAl8H5gFxCYUcCBpkgSGEzTJxn/mBmC8u99qZjeE7weXM2apYlr3UUTyVdRxksVAG3f3qCd290lm1mKPzecBp4avRwATUZLMWLHkqA46IpKvoibJuUATYEUFr3eIu8fOsRI4JNkHzWwAMADg8MPVMSQdYp101EFHRPJV1CTZEJhvZu8DW2Mb3b3Hvl7Y3d3MktZM3f0R4BGA4uLiyDVYqRiNfRQR+U7UJDm0kq63yswOdfcVZnYosLqSzisVoLGPIiKJRV502cy+Bxzp7uPMrA5QfR+u9xJwMXBr+O/YfTiHVDKNfRQRSSxq79b+BM8HGxD0cm0GPAwknZbOzJ4m6KTT0MyWAjcRJMdnzexXwGfAhRUJXvadmlVFRMoWtbn1SoJFl98DcPePzKxxaQe4+0VJdmm+1zRSj1URkeiiJsmt7r7NLJiVzsxqEIyTlCyjHqsiItFFTZJvmdnvgdpmdgbwa+Dl1IUllUlNqyIi+ybqepI3AGuADwkmPX8NuDFVQUnlitUeATWtioiUQ9SaZG3gcXd/FMDMqofbNqcqMKkY1R5FRCouak1yPEFSjKkNjKv8cKSyqPYoIlJxUWuSBe6+KfbG3TeFYyUlg6n2KCJSMVGT5Ddm1sHdZwKY2bHAt6kLS/aFVusQEalcUZPkNcBoM1sOGMFk5z9NWVRSLhr7KCKSGmUmSTOrBtQCjgJah5sXufv2VAYm0Wnso4hIapSZJN19p5k94O7tCZbMkgyg3qsiIqkXuXermV1gsSl3JO3Ue1VEJPWiPpO8DLgO2GFm3xI8l3R3V8+QKqTao4hI1Yq6VFbdVAciiWmtRxGR9Im6VJYBfYGW7n6zmR0GHOru76c0OtFajyIiaRS1ufVBYCdwOnAzsAl4AOiYorjyXqwGqWZVEZH0iZokj3f3Dmb2AYC7f21mtVIYV15K1rSqZlURkfSImiS3h5OaO4CZNSKoWUolUtOqiEhmiZok7wVeBBqb2V+AXmiprEqhHqsiIpkrau/WkWY2A+hCMPzjJ+6+IKWR5TD1WBURyQ6lJkkzKwAuB35AsODyP9y9pCoCy2VqVhURyQ5l1SRHANuBt4GzgB8CA1MdVC6JrzXGqFlVRCQ7lIBvAYsAAA1LSURBVJUk27h7IYCZDQM0LrKc4muNMWpWFRHJDmUlyV0rfbh7iaZujUadcUREckNZSbKdmW0IXxtQO3yvuVv3oM44IiK5p9Qk6e7VqyqQbKfOOCIiuSfqOElJQtPHiYjkLiXJfaDp40RE8oOS5D5Q06qISH5QkoxIPVZFRPKPkmQp1GNVRCS/KUmWQs2qIiL5TUkyAfVYFRERgGrpDiATxSdINauKiOQv1SRD6pgjIiJ7yuskqY45IiJSmrxOkuqYIyIipcnrJAmoWVVERJLKmyRZ2uLHIiIiiaSld6uZdTOzRWa22MxuqIprxppW4+nZo4iIlKbKa5JmVh14ADgDWApMM7OX3H1+qq+tplURESmPdDS3HgcsdvdPAMzsGeA8oNKT5NQH+1N33QIArt+2gzq1qsMT9Sv7MiIVs/JDaFKY7ihEJIF0NLc2A76Ie7803LYbMxtgZtPNbPqaNWsqfNE6tarT8ID9KnwekUrXpBAKe6U7ChFJIGM77rj7I8AjAMXFxb4v5zjh149WakwiIpJf0lGTXAYcFve+ebhNREQko6QjSU4DjjSzlmZWC+gDvJSGOEREREpV5c2t7l5iZlcB/waqA4+7+7yqjkNERKQsaXkm6e6vAa+l49oiIiJRaaksERGRJJQkRUREklCSFBERSUJJUkREJAlz36dx+lXKzNYAn+3j4Q2BtZUYTiZR2bJTrpYtV8sF2Vu277l7o3QHkc2yIklWhJlNd/fidMeRCipbdsrVsuVquSC3yyalU3OriIhIEkqSIiIiSeRDknwk3QGkkMqWnXK1bLlaLsjtskkpcv6ZpIiIyL7Kh5qkiIjIPlGSFBERSSKjk6SZdTOzRWa22MxuiNt+upnNNLO5ZjbCzPaaqN3MTjWz9Wb2QXiOSWbWvWpLkJiZHWZmE8xsvpnNM7Nr4va1M7MpZvahmb1sZvUSHN/CzL4Ny7bAzN43s35VWogIzOxxM1ttZnP32F5kZlPNbJaZTTez4xIce6qZvVJ10UZXyn35dlimWWa23MzGJDg2dl/GPjeujGsNNbPrU1GOPa5T2j05Ki7eJWY2K8HxsXtyVtxXrVKu18/M7k9VeRJcL9m9GPXnzc3slrhtDc1se1WWQdLE3TPyi2AZrY+BI4BawGygDUFi/wJoFX7uz8CvEhx/KvBK3PsiYAnQJQPKdijQIXxdF/gv0CZ8Pw04JXx9KXBzguNbAHPj3h8BzAIuSXfZ9ojzZKBDfKzh9jeAs8LXZwMTy/r/y5SvZPdlgs89D/yyouUChgLXV0G5kt6Te3zuTmBIgu273ZMRrtcPuL8K/9+S3YtRf94+AT6I23ZF+DMXuQxAjaoqr74q7yuTa5LHAYvd/RN33wY8A5wHHAxsc/f/hp97E7igrJO5+yyChHoVgJk1MrPnzWxa+NU53H6AmT0R/mU5x8zKPHd5ufsKd58Zvt4ILACahbtbAZPC11HL9glwHfC/YRn2D/9yfj+sbZ4Xbq9uZneENfA5ZnZ15ZZsr7gmAV8l2gXE/mKvDywv7Txmdlz41/4HZvaumbUOt/czsxfM7HUz+8jMbqvUAiSW7L6Mj7cecDqwV00ymWT3YyhW2/nIzPpXRiH2VMY9GYvRgAuBp6OeN9m9GDrMzCaG5bqpEoqRVCn3YtSft83AAjOLTSjwU+DZ2E4zO9fM3gvLOM7MDgm3DzWzJ81sMvBkZZRFqlZa1pOMqBlBjTFmKXA8wdRQNcys2N2nA72AwyKecyYwKHx9D3C3u79jZocTLAL9Q+CPwHp3LwQws4MqXJJSmFkLoD3wXrhpHsEv3TFAb8pXtqPC138A/uPul5rZgcD7YbPeLwn+Ki7yYPHrBpVRhn0wEPi3md1B0DLQqYzPLwROCmPuCvyV736ZFRF8/7YCi8zsPnf/Isl5KkOy+zLeT4Dx7r4hyTlOimuyHO3ufyH5/QhwDHACsD/wgZm96u6l/mFREQnuyV1xA6vc/aMkh34/rlyT3f1Kkt+LEPzB0ZYgAU0LyzW9EosSRXl+3p4B+pjZKmAHwR93TcN97wAnuLub2f8AvwV+E+5rA/zI3b9NQfySYpmcJBMKb8I+wN1mth9B092OiIdb3OuuQJvgj2MA6pnZAeH2PnHX+7riUScJJrje88DAuF+olwL3mtkfgZeAbVFPF/f6x0CPuGdZBcDhBGV72N1LANw90V/WVeEK4Fp3f97MLgSGhbElUx8YYWZHEtRCa8btG+/u6wHMbD7wPXZPYulwEfBYKfvfdvc9n48nux8Bxoa/YL81swkEySVyLbU8ktyTMRdRei3yY3cv2mNbsnsR4E13/zK87gvAj4CqTpLl+Xl7HbgZWAWM2mNfc2CUmR1K0Az/ady+l5Qgs1cmJ8ll7P5XXfNwG+4+heCvWszsxwRNJlG0J2hGgqAGc4K7b4n/QNwvqZQys5oEv4xGuvsLse3uvpDgFwtm1go4J+Ip48tmwAXuvmiPa1Y07MpyMRDrGDKa0hMKBL+YJrh7z7CWMzFu39a41ztI/T2d9L6EoEMHQRLrWc7zlnY/7jmYOSWDm5Pdk+G+GsD5wLHlPS2J78XjqaJylaY8P2/uvs3MZhDUENsAPeJ23wfc5e4vmdmpBM+SY76p5LClCmXyM8lpwJFm1tKCXnJ9CP7Sw8wah//uBwwGHi7rZGZ2DEFT6gPhpjeAq+P2x/4CfhO4Mm57pTe3hs92hgEL3P2uPfbFylYNuJFoZWsB3EHwgwpBU93V4XUws/bh9jeBy8JfeKSxuXU5cEr4+nQgWfNdTH2+S0T9UhRTVEnvy1Avgo45WxIenVyy+xHgPDMrMLODCTr+TNunyEtR2j0Z6gosdPel5Tx1snsR4Awza2BmtQmaqCfvQ+gVsg8/b3cCgxO0wsTfoxdXapCSVhmbJMMmwasIfsgWAM+6+7xw9yAzWwDMAV529/8kOc1J4YP0RQTJ8X/dfXy473+BYgs6sMwHLg+33wIcZEHnltnAaZVfOjoDvwBOt++6y58d7rvIzP5L8BxuOfBEknN8PyzbAoIOBPe6e+yzNxM0Sc4xs3nhewhqbJ+H22cDP6v0ksUxs6eBKUBrM1tqZr8Kd/UH7gxj+CswIMHhNfiulngb8H9m9gFpbv0o476EIGlG7tgSJ9n9CMF9PgGYStD7MhXPI0u7J2Hfy5XsXgR4n6DmOgd4PpXPI0u5F6P+vAHg7vPcfUSCXUOB0WFNMxuX1JIkNC2dZCQLxuk1c/ffpjsWEclfmfxMUvKUmQ0j6PV4YbpjEZH8ppqkiIhIEhn7TFJERCTdlCRFRESSUJIUERFJQklSMpqZ7QiHI8wzs9lm9ptwTFtpx7Qws5QObykvM3u3Asf2M7OmZX9yt2Na2B4rXohI+SlJSqb71t2L3P1o4AzgLKCsybBbkOIxoOXl7mXNT1uafnw3R6iIVCElScka7r6aYOKBqyzQwoI1HGeGX7FEdCvhJOJmdq0Fq5/cbsHqGnPM7LI9z21mt5pZ/ExLQ83segtWhRkfnv9Di1vFwsx+GZ5vtpk9GW47xMxeDLfNjsVkZpvCf0+1YOWL58xsoZmNjJuNZkgY41wzeyQsYy+gGBgZlqe2mR1rZm+Z2Qwz+7cF84USbp8dTtKwqywiUgHpXqtLX/oq7QvYlGDbOuAQoA5QEG47Epgevj6V3dcSHQDcGL7ej2AS7ZZ7nLM98Fbc+/kEc7TWAOqF2xoCiwnmIz2aYM3FhuG+BuG/owgmB4dg7cn68eUIY1tPMOdrNYJZYH4Uf47w9ZPAueHriUBx+Lom8C7QKHz/U+Dx8PUc4OTw9e2UY31HfelLX4m/NJmAZLOawP3hPKc7SD7R/Y+BY8JaGQTzbB5J3EoN7v6BmTUOn/01Ar529y8smPT7r2Z2MrCTYKmsQwjmnB3t7mvD42NzeZ5OsCQZ7r6DICHu6X0P50C1YGmpFgRLLZ1mZr8lSP4NCJZxenmPY1sTTLTwZlgBrQ6ssGAZqgM9WDcRgiR7VpLvh4hEpCQpWcXMjiBIiKsJnk2uAtoR1MqSTSpuwNXu/u8yTj+aYILyJny3FFJfgqR5rLtvN7MlBMs9VcReK5eYWQHwIEGN8QszG5rkOgbMc/cTd9sYJEkRqWR6JilZw8waEazScL+7O0GNcIW77ySYnLt6+NGNQN24Q/8NXBHWCjGzVma2f4JLjCKYyLsXQcIkvMbqMEGeRrBeJcB/gN4WrMwRv6LKeIL1MgmfhdaPWLxYQlxrwZqOveL2xZdnEdDIzE4Mr1HTzI5293XAOjP7Ufi5vhGvKyKlUJKUTFc7NgQEGEewpNSfwn0PAheHHVWO4rt1++YAO8JOLNcSrH4yH5gZDov4BwlaUTxYzaMusMzdV4SbRxKszvEhQTPqwrjP/gV4K7x+bHmpawiaTT8EZhCsO1imMMk9CswlSOrxy2ENBx4Om2arEyTQv4XXnQXEOixdAjwQfi5jFg8VyWaau1VERCQJ1SRFRESSUJIUERFJQklSREQkCSVJERGRJJQkRUREklCSFBERSUJJUkREJIn/D7bVBxqPqvZSAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6884,7 +7853,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## COVID vaccination rollout among **70-79** population up to 05 Mar 2021"
+       " ## COVID vaccination rollout among **70-79** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6907,7 +7876,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6931,7 +7900,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6955,7 +7924,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6979,7 +7948,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7003,7 +7972,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7027,7 +7996,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7051,7 +8020,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7075,7 +8044,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7099,7 +8068,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7123,7 +8092,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7147,7 +8116,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7171,7 +8140,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7185,7 +8154,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## COVID vaccination rollout among **65-69** population up to 05 Mar 2021"
+       " ## COVID vaccination rollout among **65-69** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7208,7 +8177,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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fFcoyH46ISG5J2ftzCYVW9iwvLy+3Jk2aNIqZvMrLy42vp+6sJmoSXBmWRN3MmvP1yhAiInmvovdn/AB3CBJg4ZU9F5eWlvbo0KHDxlxPhOXl5VZaWronwbC+hKImwQsIpjzbn2Cas1nARXWOUEQkRyXs/Zmo9FlgZc9du3b9aN26dXetW7euJ/WwJm0dlQOLd+3a9aNkb4iaBM3dx2UmJhGR3Je092dhlT6r6d+//3rg5IaOI1OiJsFXwomwZwAPu/uG7IUkIpIbqvX+LLzSZ96LlATd/RAzGwicAfzKzJYAD7j737IanYhIFiTr8RkvYe/PAit9FoJ0eoe+CbxpZr8D/kSwKrySoIg0OjXO9BIq4N6fBSXqYPm2wKkELcGDgEfRJNgi0shU7eySeL7Pgu/9WVCitgQXAo8B/+3ur2UxHhGRrEk51Zl6fxacqEnwQHfP6fEgIiJR1LjGH6j0WWBSLaX0Z3e/FHjCzKolQXfPm26yIpKf4jvBVNwHrFr2jFHps+CkagneG/77h2wHIiKSDfEl0Ioy6KJrNd+nAKmXUpofPi1y95vi95nZJcDcbAUmIpIp1Uqg6vEpoaj3BMcTTJsWb0KCbSIiDSLlag/wdRlUZU8JpbonOBY4E+hmZk/E7WoDfJ7NwERE0pFytQeonABV9hRStwRfBdYC7YE/xm3fDLyTraBERGojZc9PUBlUKkl1T/Bj4GMgxVUlIlJ/EpU+k84AE98TVGVQqSLSMhhmdoSZzTOzLWa2w8zKzGxTtoMTEUkkVvqMl3IAPKgMKtVE7RhzC8GUaTOBYuAHwCHZCkpEpKpE4/1Slj5jVAKVJCIviOjuHwBN3b3M3acBI7IXlohIZfGtv6StvpiSaTDtxOARawWKJBC1JbjVzHYDFpjZ9QSdZXJ9RWERyTORW39a/kgiipoEzwKaAj8Bfgp0AU7LVlAiUnhSrfGXaumjalQClQiiLqr7cfh0G3B19sIRkUKVao2/lCVQkVpINVh+EZB09Qh3753xiESkYKXV2aUqDYWQWkjVEhxZL1GISEFKuMJDbek+oNRClMHyIiJZkXCFh7rQfUBJU6R7gma2ma/LorsBzYEv3b0Of7aJiNSyBJpoPUCVQKUWonaMaRN7bmYGnAIcka2gRCR/ZaQEmmglCJVApRaiDpGo4O4OPGZmk4CrMh+SiOSzjJVAVfqUDIhaDv1e3MsmBFOnfZWViEQk76UsgSYqd8ZT6VMyJGpL8KS457uAFQQlURGRSjIy6D3VwrcqfUqGRL0n+MNsByIi+SFjg95V7pR6ELUc2g24GOga/xl3P7mGz7QAXgR2Dz/zkLtPCo/1ALAPMB84y9131PYERKThpbXCQ8k0WHQtLKnhgCp3Sj2JOgn2YwQl0JsJVpiPPWqyHRjm7n2AImCEmR0B/B640d2/CXwBnFOLuEUkh6S1wkP8+n7JqNwp9STqPcGv3H1KOgcOe5FuCV82Dx8ODAPODLffA0wG/jedY4tI7tH6ftIYRU2CN4VDImYRtPAAcPe3avqQmTUlKHl+E7gV+BDY4O67wresAhL+yWhm5wHnARxwwAERwxSR+hQrgya9B6hB7ZLjoibBXgTLKQ0DysNtsVZdUu5eBhSZ2V7Ao0D3qIG5+53AnQDFxcVJJ/EWkYYTnwATlkA1qF1yXNQkOBo4sLYdWNx9g5m9AAwC9jKzZmFrsDOQvC+1iOS8lGVQlT4lh0VNgouBvYD1UQ9sZh2AnWECbAkcR9Ap5gVgFEEP0fHA42lFLCL1LtnYv4RlUC1pJI1I1CS4F7DMzOZR+Z5g0iESQCfgnvC+YBPgQXd/ysyWAA+Y2bXA28DdtQtdROpLsvt+CcugWtJIGpGoSXBSugd293eAvgm2fwQMTPd4ItKw1PtT8lHUGWPmZjsQEckNiUqfKac6UwlUGqlIg+XNbLOZbQofX5lZmZltynZwIlL/4ge+x6Q1AF4lUGlEtJ6gSIFK1dkl7YVuVQKVRkjrCYoUqLQ6u2hpI8lTWk9QpIBFbvFpaSPJU1pPUESiUblT8pDWExSRyjTfpxSQqL1D7wnn/4y93tvM/pK9sESkwSRa6kjlTslTUcuhvd19Q+yFu39hZtUGwotI7kjW+zOmxrF/Kn1KgYiaBJuY2d7u/gWAmbVL47Mi0gBqXOIIuHjPlzll+6swrUXlHSp9SgGJmsj+CLxmZjPD16OB32YnJBHJlBp7f067Fta9D22qJDyVPqWARO0Y81czK+Hr9QO/5+5LsheWiKRSp3JnjMqeUuBqTIJm1trdtwCESa9a4ot/j4jUn1TlzpRTnYlIypbg42a2gGDNv/nu/iWAmR0IHAOcDkwFaphKQkSyJfJgdw17EEmoxiTo7sea2XeA84HBYYeYncBy4O/AeHdfl/0wRQQql0AjlTtjEs34ont/IqnvCbr708DT9RCLiKQQXwJNu9yp+38i1WiYg0iOS9T6S1oCTTbRtUqfIglFmjFGRBpO/Pp+aa3rF0+lT5GE1BIUaQTSWt9PZU+RyFINkWhX0353/zyz4YgUnlqP91OPT5E6S1UOnQ+UhP+WAu8B74fP52c3NJHCEF/uTCRpCVQTXYvUWaohEt0AzGwq8GjYUxQz+zbw3eyHJ1IY0ip3xlPpU6ROot4TPMLdz429cPd/mNn1WYpJJO/VerxffAlUpU+ROovaO3SNmU00s67h41fAmmwGJpLP0urxGS++BKrSp0idRW0JjgUmAY8CDrwYbhORWlIJVKThRV1F4nPgEjPbIzZ/qIhEk6j3Z1o9PuOpBCqSUZHKoWZ2pJktAZaGr/uY2W1ZjUwkTyTq/ZlWj894KoGKZFTUcuiNwAnAEwDuvtDMjspaVCKNULLxfimnOqtK5U6RehN5xhh3X2lm8ZvKMh+OSOOVbH2/Sq0+lTtFckrUJLjSzI4E3MyaA5cQlkZF5GspW3yJljSKp3KnSL2KmgQvAG4C9gdWA7OAH2crKJHGJFYGjTzeT+VOkZwRNQke6u7j4jeY2WDglcyHJNK4xCfAlGVPlTtFckrUJHgz0C/CNpGCVK0MmqzsqXKnSE5JtYrEIOBIoIOZXRa3qy3QNJuBieSaVL0/q1HZUyTnpWoJ7ga0Dt/XJm77JkB/zkpBSdn7U/N6ijQ6qVaRmAvMNbPp7v5xPcUkkrNq7P05La4EqrKnSKMQ9Z7gVjO7ATgMaBHb6O7Dkn3AzLoAfwX2I5hv9E53vylcqHcG0BVYAZzu7l/UKnqRLEt7tQeVQEUalairSNwHLAO6AVcTJK95KT6zC7jc3XsARwAXmVkP4CpgtrsfDMwOX4vkpEirPZRMg2kn1jzdmYjkpKgtwX3c/W4zuySuRFpjEnT3tcDa8PlmM1tKMM7wFODo8G33AHOAK2sRu0i9SGsAvEqgIo1K1CS4M/x3rZmdSLCWYLuoX2JmXYG+wBvAfmGCBFhHUC4VaXBprfZQlcqgIo1S1CR4rZntCVxOMD6wLfDTKB80s9bAw8Cl7r4pfv5Rd3cz8ySfOw84D+CAAw6IGKZI7SXq/akB8CL5Lep6gk+FTzcCx0Q9eDjP6MPAfe7+SLj5EzPr5O5rzawTsD7Jd94J3AlQXFycMFGK1EatV3vQAHiRvBMpCZpZB+Bcgh6dFZ9x97Nr+IwBdwNL3f1PcbueAMYD14X/Pp521CJ1EGm1h2RU9hTJK1HLoY8DLwHPE30JpcHAWcAiM1sQbvslQfJ70MzOAT4GTo8erkhmpLW+n4jkrahJsJW7p9WD091fBizJ7mPTOZZIbdWps4uI5L2o4wSfMrPvZDUSkSyIH+cXE6nsKSIFIWpL8BLgl2a2nWC4hBF07tSf05LzVPoUkWSi9g5tk/pdIg0n7RUeUkk0HEJDIUTyTqqllLq7+zIzS7huoLu/lZ2wRNJTpx6fiSQaDqGhECJ5J1VL8DKCAet/TLDPgaQTaIvUt4yXPTUcQiTvpVpK6bzw38gD5EXqU6wMqh6fIlIbkXqHmtlFZrZX3Ou9zezH2QtLJJr4BKgenyKSrqi9Q89191tjL9z9CzM7F7gtO2GJJO/sEi/lVGciIjWImgSbmpm5uwOYWVNgt+yFJZK8s0u8OrcANSm2SEGLmgSfAWaY2R3h6/PDbSJZlfVWnibFFiloUZPglQS9RC8MXz8H3JWViKTg1XtnF/UCFSlYUZNgS2Cqu98OFeXQ3YGt2QpMClfWO7vEl0BV9hQpaFHnDp1NkAhjWhKsKCGSFbEy6JmHZ2FB5VgJFFT2FClwUVuCLdx9S+yFu28xs1ZZikkKRManOkuHSqAiQvQk+KWZ9YtNk2Zm/YFt2QtLCkHGpzpLRHOAikgNoibBS4GZZraGYAWJjsCYrEUlBaNBen+qBCoioairSMwzs+7AoeGm5e6+M3thSb6KL4Gq96eINLSoLUEIEmAPoAXQz8xw979mJyzJV/El0KyXPUGlTxGpUaQkaGaTgKMJkuDTwLeBlwElQUlbVkqgGvQuIrUQtSU4CugDvO3uPzSz/YC/ZS8syTf1MgBeZU8RSVPUJLjN3cvNbJeZtQXWA12yGJfkmToPgE9W7oxR2VNEaiFqEiwJl1KaCswHtgCvZS0qyQuJOsHUugyarNwZo7KniNRC1N6hsbUDbzezZ4C27v5O9sKSfJDxTjAqd4pIhkXtGPME8ADwuLuvyGpEklcit/5U7hSRBhC1HPpHgsHx/2Nm8wgS4lPu/lXWIpNGJdEUaGl1glG5U0QaQNRy6Fxgbrh6xDDgXOAvQD2MdJbGIFHPz7RLoCp3ikg9izxY3sxaAicRtAj7AfdkKyhpnCKVPjWoXURySNR7gg8CAwlWk78FmOvu5dkMTHJTnVd+0KB2EckhUVuCdwNj3b0sm8FI7svIyg8qe4pIjoh6T/DZbAcijUfWV34QEakn6UygLQWmzj0+48XuBeren4jkkCYNHYDkrljpM16tB73HJ0Dd+xORHBG1Y8xsdz821TbJPxktfepeoIjkmBqToJm1AFoB7c1sb4JV5SEYH5ihheAkl2R00dv44RAqg4pIDkpVDj2fYMLs7uG/scfjBEMlJM/El0DrPN9nrAQKKoOKSE6qsSXo7jcBN5nZxe5+cz3FJPUso6s9VKUSqIjksKhDJG42syOBrvGfcXetLJ8HMrrag0qgItKIRO0Ycy9wELAAiA2YdyBpEjSzvwAjgfXu3jPc1g6YQZBMVwCnu/sXtYxdMihjrb/4XqAqgYpIjos6TrAY6OHunsaxpxPcN4xPlFcBs939OjO7Knx9ZRrHlDrK6Ni/ZFQCFZFGImoSXAx0BNZGPbC7v2hmXatsPgU4Onx+DzAHJcF6VefVHrTun4jkkahJsD2wxMzeBLbHNrr7yWl+337uHkuk64D9kr3RzM4DzgM44IAD0vwaqUmdSp9a909E8kjUJDg501/s7m5mScur7n4ncCdAcXFxOmVYqSKjY/9A5U4RyRuRF9U1s28AB7v782bWCmhai+/7xMw6uftaM+sErK/FMSRNKXt/pipxxlO5U0TySNTeoecSlCbbEfQS3R+4HUh32rQngPHAdeG/j6f5eamlGkug6UxsrXKniOSRqOXQiwgW1X0DwN3fN7N9a/qAmd1P0AmmvZmtAiYRJL8Hzewc4GPg9FrGLQnUacFblThFpABFTYLb3X2HWTB1qJk1IxgnmJS7j02yS5NuZ0mkBW8TlT5V4hSRAhU1Cc41s18CLc3sOODHwJPZC0vSEWsBRpryLFHpUyVOESlQUZPgVcA5wCKCSbWfBu7KVlCSnvgEGGm8n0qfIiJA9CTYEviLu08FMLOm4bat2QpM0lNjC1DzeYqIJBQ1Cc4GhgNbwtctgVnAkdkISlJLa+yf5vMUEUkoahJs4e6xBIi7bwnHCkoDSXvlB5VARUSqiZoEvzSzfu7+FoCZ9Qe2ZS8siUIlUBGRuomaBC8BZprZGsAIJtMek7WopEKtx/6pBCoiklLKJGhmTYDdgO7AoeHm5e6+M5uBSSDS2L9kVAIVEalRyiTo7uVmdqu79yVYUknqWeRVH1QCFRFJS5OI75ttZqdZbMoYybr/e+PfjLnjNZas3RT9Q7ESKKgEKiISQdR7gucDlwFlZraN4L6gu3sGlyOXeGGL7wQAAA6bSURBVGkPgI9RCVREJLKoSym1yXYgUl3k3p8xKoGKiKQl6lJKBowDurn7NWbWBejk7m9mNboCU+sB8DEqgYqIpCVqOfQ2oBwYBlxDMHPMrcCALMVVkDQAXkSkfkVNgoe7ez8zexvA3b8ws92yGFdeSjbmLybSKhAiIpIxUZPgznDSbAcwsw4ELUNJQ7IxfzEpW38aAiEiklFRk+AU4FFgXzP7LTAKmJi1qPJYnVp6mgVGRCSjovYOvc/M5hOsCm/Ad919aVYjyxNpdXaJQvcBRUQypsYkaGYtgAuAbxIsqHuHu++qj8DyRVqdXRINe4inEqiISEalagneA+wEXgK+DfwncGm2g8o3kUugiYY9xFMJVEQko1IlwR7u3gvAzO4GNC4wiVqv9lCVyp0iIvUmVRKsWCnC3Xdp6tDkIq32oHKniEhOSZUE+5hZbAZnA1qGrzV3aAIpy54qd4qI5JQak6C7N62vQBqrWBk0ctlT5U4RkZwRdZygJJFwtYdkZU+VO0VEcoqSYA1STXMGSaY6S1b2VLlTRCSnKAnWIEqZM+nYP5U9RURynpJgCpHH+GleTxGRRkdJMJSo9JnWGD/N6yki0ugoCYYSlT4jrekXTyVQEZFGRUkwTrXSZ8k0WHQtLInwYZVARUQanYJMgpFLn6kGt8dTCVREpNEpyCSYVulTJU4RkbxVkEkQIpY+VeIUEclrBZMEUy5um6j0qRKniEheK5gkGGlxW5U+RUQKSsEkQYgrgar0KSIiQJOG+FIzG2Fmy83sAzO7qt4DiJU+46n0KSJScOq9JWhmTYFbgeOAVcA8M3vC3aOMxssclT5FRApeQ5RDBwIfuPtHAGb2AHAK0Yakp+X1286lzYalAPxsRxmtdmsK0/ZU6VNERICGKYfuD6yMe70q3FaJmZ1nZiVmVlJaWlrnL221W1Pat949eKHSp4iIkMMdY9z9TuBOgOLiYq/NMY748dSMxiQiIvmlIVqCq4Euca87h9tERETqVUMkwXnAwWbWzcx2A84AnmiAOEREpMDVeznU3XeZ2U+AZ4GmwF/c/d36jkNERKRB7gm6+9PA0w3x3SIiIjENMlheREQkFygJiohIwVISFBGRgqUkKCIiBcvcazUOvV6ZWSnwcS0/3h74NIPh5BKdW+OUr+eWr+cFjffcvuHuHRo6iFzWKJJgXZhZibsXN3Qc2aBza5zy9dzy9bwgv8+t0KkcKiIiBUtJUEREClYhJME7GzqALNK5NU75em75el6Q3+dW0PL+nqCIiEgyhdASFBERSUhJUEREClZOJ0EzG2Fmy83sAzO7Km77MDN7y8wWm9k9ZlZtInAzO9rMNprZ2+ExXjSzkfV7BomZWRcze8HMlpjZu2Z2Sdy+Pmb2mpktMrMnzaxtgs93NbNt4bktNbM3zWxCvZ5EBGb2FzNbb2aLq2wvMrPXzWyBmZWY2cAEnz3azJ6qv2ijq+G6fCk8pwVmtsbMHkvw2dh1GXvf8ym+a7KZ/Swb51Hle2q6JmfExbvCzBYk+HzsmlwQ99ithu+bYGa3ZOt8Enxfsmsx6s+bm9m1cdvam9nO+jwHyRJ3z8kHwTJLHwIHArsBC4EeBIl7JXBI+L7/Bs5J8PmjgafiXhcBK4Bjc+DcOgH9wudtgPeAHuHrecDQ8PnZwDUJPt8VWBz3+kBgAfDDhj63KnEeBfSLjzXcPgv4dvj8O8CcVP//cuWR7LpM8L6HgR/U9byAycDP6uG8kl6TVd73R+A3CbZXuiYjfN8E4JZ6/P+W7FqM+vP2EfB23LYLw5+5yOcANKuv89Uj+iOXW4IDgQ/c/SN33wE8AJwC7APscPf3wvc9B5yW6mDuvoAgYf4EwMw6mNnDZjYvfAwOt7c2s2nhX4bvmFnKY6fL3de6+1vh883AUmD/cPchwIvh86jn9hFwGfBf4TnsEf7l+2bYWjwl3N7UzP4QtqDfMbOLM3tm1eJ6Efg80S4g9hf3nsCamo5jZgPDv9bfNrNXzezQcPsEM3vEzJ4xs/fN7PqMnkBiya7L+HjbAsOAai3BZJJdj6FYa+V9Mzs3EydRVYprMhajAacD90c9brJrMdTFzOaE5zUpA6eRVA3XYtSft63AUjOLDZgfAzwY22lmJ5nZG+E5Pm9m+4XbJ5vZvWb2CnBvJs5FMqtB1hOMaH+CFl/MKuBwgqmLmplZsbuXAKOALhGP+RZwRfj8JuBGd3/ZzA4gWOT3P4FfAxvdvReAme1d5zOpgZl1BfoCb4Sb3iX4pfoYMJr0zq17+PxXwD/d/Wwz2wt4Myy7/YDgr9oiDxY3bpeJc6iFS4FnzewPBC37I1O8fxkwJIx5OPA7vv5lVUTw3287sNzMbnb3lUmOkwnJrst43wVmu/umJMcYEldSnOnuvyX59QjQGzgC2AN428z+7u41/uFQFwmuyYq4gU/c/f0kHz0o7rxecfeLSH4tQvAHRU+CBDMvPK+SDJ5KFOn8vD0AnGFmnwBlBH+8/Ue472XgCHd3M/sR8HPg8nBfD+Bb7r4tC/FLHeVyEkwovMjOAG40s90JSmtlET9ucc+HAz2CP24BaGtmrcPtZ8R93xd1jzpJMMH3PQxcGvcL82xgipn9GngC2BH1cHHPjwdOjruX1AI4gODcbnf3XQDunugv4/pwIfBTd3/YzE4H7g5jS2ZP4B4zO5igFdk8bt9sd98IYGZLgG9QOUk1hLHAXTXsf8ndq96fTnY9Ajwe/gLdZmYvECSPyK3MdCS5JmPGUnMr8EN3L6qyLdm1CPCcu38Wfu8jwLeA+k6C6fy8PQNcA3wCzKiyrzMww8w6EZTJ/xW37wklwNyVy0lwNZX/KuscbsPdXyP4qxQzO56gpBFFX4IyDwQtkCPc/av4N8T9EsoqM2tO8MvmPnd/JLbd3ZcR/OLAzA4BTox4yPhzM+A0d19e5TvrGnamjAdiHS9mUnPCgOAXzwvufmrYSpkTt2973PMysn9NJ70uIegwQZCkTk3zuDVdj1UH82ZlcG+yazLc1wz4HtA/3cOS+Fo8nHo6r5qk8/Pm7jvMbD5BC68HcHLc7puBP7n7E2Z2NMG93JgvMxy2ZFAu3xOcBxxsZt0s6GV2BsFfapjZvuG/uwNXArenOpiZ9SYodd4abpoFXBy3P/YX7HPARXHbM14ODe+t3A0sdfc/VdkXO7cmwESinVtX4A8EP4gQlNIuDr8HM+sbbn8OOD/8hUYDlkPXAEPD58OAZOW1mD35OtFMyFJMUSW9LkOjCDq+fJXw08klux4BTjGzFma2D0HHmnm1irwGNV2ToeHAMndfleahk12LAMeZWTsza0lQQn6lFqHXSS1+3v4IXJmgihJ/jY7PaJCSVTmbBMOS3U8IfoiWAg+6+7vh7ivMbCnwDvCku/8zyWGGhDeqlxMkv/9y99nhvv8Cii3oILIEuCDcfi2wtwWdRxYCx2T+7BgMnAUMs6+7k38n3DfWzN4juA+2BpiW5BgHhee2lOAG/RR3j733GoKS4Ttm9m74GoIW17/D7QuBMzN+ZnHM7H7gNeBQM1tlZueEu84F/hjG8DvgvAQfb8bXrbzrgf8xs7dp4OpFiusSgqQYueNInGTXIwTX+QvA6wS9F7NxP7CmaxJqf17JrkWANwlanu8AD2fzfmAN12LUnzcA3P1dd78nwa7JwMywpdgYl1wqWJo2TXKSBePU9nf3nzd0LCKSv3L5nqAUKDO7m6DX4OkNHYuI5De1BEVEpGDl7D1BERGRbFMSFBGRgqUkKCIiBUtJUHKamZWF3fXfNbOFZnZ5OKarps90NbOsDv9Il5m9WofPTjCz/0j9zkqf6WpVVkwQkeqUBCXXbXP3Inc/DDgO+DaQarLlrmR5DGS63D3V/Kg1mcDXc1SKSAYpCUqj4e7rCQbW/8QCXS1Yw++t8BFLNNcRTlJtZj+1YPWMGyxYneEdMzu/6rHN7Dozi58paLKZ/cyCVUVmh8dfZHGrIJjZD8LjLTSze8Nt+5nZo+G2hbGYzGxL+O/RFqyc8JCZLTOz++JmU/lNGONiM7szPMdRQDFwX3g+Lc2sv5nNNbP5ZvasBfNVEm5fGE5CUHEuIlKDhl7LSQ89anoAWxJs2wDsB7QCWoTbDgZKwudHU3ktyfOAieHz3Qkmae5W5Zh9gblxr5cQzBHaDGgbbmsPfEAwH+ZhBGvutQ/3tQv/nUEw+TQEaw/uGX8eYWwbCeYcbUIwi8m34o8RPr8XOCl8PgcoDp83B14FOoSvxwB/CZ+/AxwVPr+BNNb300OPQn1osLw0Zs2BW8J5NstIPpH68UDvsFUFwTyPBxM307+7v21m+4b33joAX7j7Sgsmlf6dmR0FlBMspbQfwZynM9390/DzsbkkhxEsWYW7lxEkvKre9HAOTguWHupKsBTPMWb2c4Lk3o5gmZ8nq3z2UIKJBJ4LG5BNgbUWLFO0lwfr5kGQRL+d5L+HiISUBKVRMbMDCRLeeoJ7g58AfQhaVckmrTbgYnd/NsXhZxJMgN2Rr5fKGUeQFPu7+04zW0GwHFBdVFv5wsxaALcRtPhWmtnkJN9jwLvuPqjSxiAJikiadE9QGg0z60Awy/8t7u4ELbq17l5OMPlz0/Ctm4E2cR99FrgwbNVhZoeY2R4JvmIGwUTRowgSIuF3rA8T4DEE6xUC/BMYbcHKDvErcswmWC+R8F7knhFPL5bwPrVgTb9Rcfviz2c50MHMBoXf0dzMDnP3DcAGM/tW+L5xEb9XpKApCUquaxkbIgE8T7Dk0NXhvtuA8WFHkO58vW7bO0BZ2EnkpwSrZywB3gqHDdxBgiqIB6tBtAFWu/vacPN9BKs7LCIocy6Le+9vgbnh98eWH7qEoKy5CJhPsO5cSmESmwosJkja8cslTQduD0unTQkS5O/D710AxDoE/RC4NXxfziweKZLLNHeoiIgULLUERUSkYCkJiohIwVISFBGRgqUkKCIiBUtJUERECpaSoIiIFCwlQRERKVj/DwIPrW2E/wnGAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7232,7 +8201,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7256,7 +8225,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7280,7 +8249,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7304,7 +8273,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7328,7 +8297,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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gwf7nnHPO5l69em15/PHHG2/evLkawKefflpz1apVNVasWFGzXr16u3/961//95prrlk7f/78UnUPl9SSfM/db0iy7nYzOxjIkc51EZHSU1GAzKhdu7Z37dp1S8OGDXfVqFGDs88+e8vixYtrd+rU6SiAunXr7h4/fvyny5Yt2++6665rUa1aNWrUqOH333//Z6U5TqkKnJtZXXffXspzKTcVOBeRbBNLjvEjVoGsGpiTywXOd+3axdFHH9124sSJH+fl5X1b3v2Vq8C5mXUFxgAHAIebWXvgUnf/dXkDExGpjGJdqzk3YrUSmDt3bu2+ffse2atXr68qIkEWJ+ro1juAM4AXAdx9gZmdlLKoRESykLpWs8Oxxx77zcqVKz9Ix7Ei125196KjmHZVcCwiIllNA3MA2L17927LdBAVKTyf3YnWRW1JfhF2ubqZ1WTf6a9ERKoEtR5ZtGHDhrZNmjTZXK1atUpfV3v37t22YcOGBgSPNu4japK8jKDuanOCWquTgSsqJEIRkSxW5Z59LEFhYeGv1q5dO2bt2rXtSM+cxKm2G1hUWFj4q0QroyZJc/dBFReTiEh2SzR6tQp3se5x7LHHrgf6ZDqOdImaJGea2QpgAvCsu29KXUgiIpmn0asCEZOku7c2s+OAgcDvzWwJ8JS7P5HS6ERE0kijV6WoyAXO3f094D0z+ytwOzAOUJIUkUotPjGqa1WKilpMoD7Qj6Al+UPgeTSTh4jkgPgprdS1KkVFbUkuACYBf3L3WSmMR0Qk5dStKlFFTZJHeGmKvIqIZLH41qO6VaU4xSZJM7vT3YcDL5rZPknS3avMMGARyS1qPUoUJbUkHw//vDXVgYiIpFqsm1VFASSqYpOku88NX+a7+13x68zsKuCNVAUmIlIRko1eVRerRBH1nuRFBGXp4g1OsExEJKto9KqUR0n3JM8HLgBamdmLcavqAf9NZWAiIhVF9x+lrEpqSb4NrAEaA7fFLd8KLExVUCIi5aGi5FJRSron+RnwGaCvYCJSaegRD6koUSvuHA/cA/wYqAVUB752d309E5GsoAIBkgpRB+7cS1CSbiJQAPwCaJ2qoEREotKUVpJKpSlw/pGZVXf3XcBjZvY+cF3qQhMRSay4xzo0clUqUtQkud3MagHzzexmgsE8uTAjtYhUQnqsQ9IlapK8kOA+5JXA1cBhwDmpCkpEpCS65yjpEHXS5c/ClzuAP6YuHBGRxPRYh2RCScUEPgCSzv7h7sdUeEQiIgnosQ7JhJJakr3TEoWISAJ6rEMyLUoxARGRlItPiDF6rEMyLWoxga183+1aC6iJigmISAVKNIWVRq5KpkUduFMv9trMDOgLHJ+qoESkalJ3qmSbyMUEYtzdgUlmdgNwbcWHJCK5LFG3KmjEqmSnqN2tZ8e9rUZQmu6blEQkIjktUbcqoHuOkpWitiTPintdCKwg6HIVEYkk1oLUKFWpTKLek7y4tDs2s9rADGC/8DjPuPsNZtYKeAo4CJgLXOjuO0u7fxHJfsXVWBWpDKJ2t7YChgEt47dx9z7FbPYtcJq7bzOzmsBbZvZP4BrgDnd/ysweBH4JPFDG+EUki6nGqlR2UbtbJwGPAC8Bu6NsEA7w2Ra+rRn+OHAacEG4fBwwGiVJkZyhAgCSS6ImyW/c/e7S7tzMqhN0qf4IuA/4GNjk7oXhR1YCCftdzGwoMBTg8MP1zVMkmyXrVtVgHKnsoibJu8JHPiYTdKMC4O7zitsonHsy38waAs8DR0UNzN0fAh4CKCgoSFo/VkQyT92qkquiJsk8gumyTuP77tZY12mJ3H2TmU0DugANzaxG2JpsAez7wJSIVDrqVpVcFDVJDgCOKM0oVDNrAnwXJsg6wOnA34BpQH+CEa4XAS+ULmQRyRZFH+sQyTVRk+QioCGwvhT7PhQYF96XrAY87e4vm9kS4CkzuxF4n2BAkIhUQvEJUvceJRdFTZINgWVmNpu970kmfQTE3RcCHRIs/wQ4rpRxikiW0OhVqUqiJskbUhqFiFQamvxYqpKoFXfeSHUgIlJ5qPUoVYXmkxSRhDRbh4jmkxSRImLJMb4oQDx1sUpVovkkRWQvsXuOKgogovkkRQSNWBVJRvNJilRRqrcqUrKUzScpItlN9VZFSha1u3UccJW7bwrfHwjc5u6XpDI4EUktdauKFC9qd+sxsQQJ4O5fmdk+1XREJLsluvcoIslVi/q5sPUIgJk1ogwjY0Uks2JdrKBHOUSiiJrobgNmmdnE8P0A4C+pCUlEKkKiYgAauSpSOpFaku7+D+BsYF34c7a7P57KwESkfOJbjTFqPYqUTrEtSTM7wN23Abj7EmBJcZ8RkeyiVqNI+ZTU3fqCmc0nmBh5rrt/DWBmRwCnAucCDwPPpDRKESlWcV2rIlJ2xXa3unt3YCpwKbDYzLaY2ZfAE0BT4CJ3V4IUyTB1rYqkRokDd9z9VeDVNMQiIuWQ0q7VOY/BB/o+nHZN86DXTZmOokrTYxwilVRan3n84BlY+0Hwn7ZIFaIkKVKJZLTeatM8uPiV1B5DJMsoSYpUIqq3KpJeJT0C0qi49e7+34oNR0RKosc6RNKnpJbkXMABAw4HvgpfNwQ+B1qlNDqRKkyPdYhkXkmPgLRy9yOAKcBZ7t7Y3Q8CegOT0xGgSFWlxzpEMi/qPcnj3X1I7I27/9PMbk5RTCJVVqIRq+paFcmcqElytZldT1BEAGAQsDo1IYlULRkdsSoixYqaJM8HbgCeJ7hHOSNcJiLlpBGrItkrUpIMR7FeZWb7x+q3ikjpafoqkcol0lRZZtbVzJYAS8P37c3s/pRGJpKDNBhHpHKJ2t16B3AG8CKAuy8ws5NSFpVIDlOrUaTyiFxxx92/MLP4RbsqPhyR3JPWGqsiUqGiJskvzKwr4GZWE7iKsOtVRPalEasiuSFqkrwMuAtoDqwiKCTw61QFJVLZacSqSG6ImiTbuPug+AVm1g2YWfEhiVROKgQgknuiJsl7gI4RlolUObHkqG5VkdxT0iwgXYCuQBMzuyZuVX2geioDE6ksYl2r6lYVyT0ltSRrAQeEn6sXt3wL0D9VQYlUNupaFclNxSZJd38DeMPMxrr7Z2mKSSTr6bEOkaohUsUdYLuZ3WJmr5rZv2M/xW1gZoeZ2TQzW2Jmi83sqnB5IzN73cw+DP88sNxnIZJm8ZVzdP9RJHdFHbgzHphAMI/kZcBFwIYStikE/tfd55lZPWCumb0ODAamuvtNZnYtcC0wsizBi6STRq+KVD1RW5IHufsjwHfu/oa7XwKcVtwG7r7G3eeFr7cSFB9oDvQFxoUfGwf8rEyRi6SZWo8iVU/UluR34Z9rzOxMgrkkG0U9iJm1BDoA7wKHuPuacNVa4JAk2wwFhgIcfrhGC0p2UOtRpGqJmiRvNLMGwP8SPB9ZH7g6yoZmdgDwLDDc3bfE1391dzczT7Sduz8EPARQUFCQ8DMiqaYBOiJVW9T5JF8OX24GTo2687DO67PAeHd/Lly8zswOdfc1ZnYosL40AYukU3x5OXWxilQ9kZKkmTUBhgAt47cJ700m28aAR4Cl7n573KoXCQb+3BT++UKpoxZJI3WxilRdUbtbXwDeBKYQfYqsbsCFwAdmNj9c9juC5Pi0mf0S+Aw4N3q4IukR62ZVF6tI1RY1SdZ191I9puHubwGWZHX30uxLJN3iE6S6WEWqrqhJ8mUz+6m7v5rSaEQySM9BikhRUZ+TvIogUe4wsy1mttXMtqQyMJF003OQIlJU1NGt9Ur+lEjlEN9ijKfWo4gUVdJUWUe5+zIzSzhvZKyijkhlkmxAjlqPIlJUSS3Jawiq3tyWYJ1TQmk6kWylFqOIRFHSVFlDwz8jFxAQyVZ6rENESitqMYErCKrmbArfHwic7+73pzI4kfKKv//47qf/BaBzq0bqVhWRSKI+AjLE3e+LvXH3r8xsCKAkKVktvuUYS44XdFbBfBGJJmqSrG5m5u4OYGbVgVqpC0uk7PS8o4hUlKhJ8jVggpn9PXx/abhMJCsk61bViFURKY+oSXIkwSjXy8P3rwNjUhKRSBmoW1VEUiFqkqwDPOzuD8Ke7tb9gO2pCkwkiqIjVtWtKiIVKWqSnAr0ALaF7+sAk4GuqQhKpDgasSoi6RI1SdZ291iCxN23mVndFMUkUix1rYpIukRNkl+bWcdYGTozOxbYkbqwRFRjVUQyL2qSHA5MNLPVBHNENgXOS1lUIqjGqohkXtRZQGab2VFAm3DRcnf/LnVhiQTUYhSRTIrakoQgQbYFagMdzQx3/0dqwpKqTDVWRSRbRK3degNwCkGSfBXoBbwFKElKhdCIVRHJRlFbkv2B9sD77n6xmR0CPJG6sKSq0YhVEclGUZPkDnffbWaFZlYfWA8clsK4pApQjVURyXZRk+QcM2sIPAzMJSgqMCtlUUnOUo1VEalMoo5u/XX48kEzew2o7+4LUxeW5Cp1q4pIZRJ14M6LwFPAC+6+IqURSU5SjVURqYyqRfzcbcAJwBIze8bM+ptZ7RTGJTkmPkGqW1VEKouo3a1vAG+Es3+cBgwBHgX0EJtEphakiFQ2kYsJmFkd4CyCcnQdgXGpCkpyQ6LRqyIilUmk7lYzexpYStCKvBf4obsPS2VgUvnFulhB9VZFpHKK2pJ8BDjf3XelMhjJPepiFZHKLOo9yX+lOhDJDepiFZFcEnV0q0gk6mIVkVxSmllARCJRF6uI5IqoxQSmunv3kpZJ1RLftRqjLlYRySXFJsmwYEBdoLGZHQhYuKo+oH60KihZ7dUYdbGKSC4pqSV5KTAcaEZQ2DyWJLcQPAoiVYxqr4pIVVJsknT3u4C7zGyYu9+TppgkSxTXnap7jiJSFUR9BOQeM+sKtIzfxt3/kaK4JEPUnSoi8r2oA3ceB34IzAdiBQUcSJokzexRoDew3t3bhcsaARMIku0K4Fx3/6qMsUsKqDtVROR7UR8BKQDauruXYt9jCe5bxifSa4Gp7n6TmV0bvh9Zin1KCiQqAKDuVBGR6ElyEdAUWBN1x+4+w8xaFlncFzglfD0OmI6SZEYk61ZVd6qIyPeiJsnGBHNJvgd8G1vo7n1KebxD3D2WaNcChyT7oJkNBYYCHH64uvsqmrpVRURKFjVJjq7oA7u7m1nS7lt3fwh4CKCgoKA03bwSkbpVRUSKF3nSZTP7AXCku08xs7pA9TIcb52ZHerua8zsUGB9GfYh5RDrZlVlHBGRkkWdT3II8Azw93BRc2BSGY73InBR+Poi4IUy7EPKIT5B6t6jiEjxona3XgEcB7wL4O4fmtnBxW1gZk8SDNJpbGYrgRuAm4CnzeyXwGfAuWWMW8pB3awiItFETZLfuvtOs6AqnZnVIHhOMil3Pz/JKhVFTzPN8SgiUjZR55N8w8x+B9Qxs9OBicBLqQtLKpLmeBQRKZuoLclrgV8CHxAUPX8VGJOqoKT8VCBARKT8oibJOsCj7v4wgJlVD5dtT1VgUnoqECAiUrGiJsmpQA9gW/i+DjAZ6JqKoKRsVCBARKRiRU2Std09liBx923hs5KSZdStKiJScaIO3PnazDrG3pjZscCO1IQkpfV/737OeX+ftWdwjoiIVIyoLcmrgIlmthowgmLn56UsKikVFQgQEUmNEpOkmVUDagFHAW3Cxcvd/btUBibF0+hVEZHUKzFJuvtuM7vP3TsQTJklGaLRqyIi6RV5dKuZnQM8V8qJl6UCafSqiEh6RU2SlwLXALvMbAfBfUl3d9U3SzN1q4qIpE/UqbLqpToQSUx1V0VEMifqVFlmZj83sz+E7w8zs+NSG5qA6q6KiGRS1O7W+4HdwGnAnwkq79wHdEpRXFVe0cmR1cUqIpJ+UZNkZ3fvaGbvA7j7V2ZWK4VxVUnJRq+q9SgikhlRk+R3YVFzBzCzJgQtS6lAGr0qIpJdoibJu4HngYPN7C9Af+D6lEVVhagogIhI9oo6unW8mc0FuhM8/vEzd1+a0shyUHxCjFFRABGR7FVskjSz2sBlwI8IJlz+u7sXpiOwXBTfnRqjblURkexVUktyHPAd8CbQC/gxMDzVQeUydaeKiFQeJSXJtu6eB2BmjwDvpT6k3KJiACIilVdJSVqZhTcAAA1ASURBVHLPTB/uXmhmKQ4nN6gQuYhIbigpSbY3s9hMvgbUCd+rdmsx9CiHiEhuKDZJunv1dAVS2elRDhGR3BOpdquUTDVWRURyT9RiAhKBWo8iIrlFSbIMEhUF0MhVEZHco+7WMojvWo1RF6uISO5RS7KM1LUqIpL7lCQTSNSdGk9dqyIiVYO6WxNI1J0aT12rIiJVg1qSSag7VURElCRDqrEqIiJFVckkqXkdRUQkiiqZJDWvo4iIRFFlkqRqq4qISGlVmdGtqq0qIiKllZGWpJn1BO4CqgNj3P2mdBxXrUcRESmNtCdJM6sO3AecDqwEZpvZi+6+pKKP9ceXFrNkddB61IhVEREprUy0JI8DPnL3TwDM7CmgL1DhSfKML+6k/6alwZta0Pjb/eCx2hV9GJHct/YDaJqX6ShE0i4TSbI58EXc+5VA56IfMrOhwFCAww8v24jT41sdBGsblGlbEYnTNA/y+mc6CpG0y9rRre7+EPAQQEFBgZdpJ73ScqtTRERyVCZGt64CDot73yJcJiIiklUykSRnA0eaWSszqwUMBF7MQBwiIiLFSnt3q7sXmtmVwL8IHgF51N0XpzsOERGRkmTknqS7vwq8molji4iIRFVlKu6IiIiUlpKkiIhIEkqSIiIiSShJioiIJGHuZXtOP53MbAPwWRk3bwxsrMBwsonOrXLK1XPL1fOCyntuP3D3JpkOojKrFEmyPMxsjrsXZDqOVNC5VU65em65el6Q2+cmxVN3q4iISBJKkiIiIklUhST5UKYDSCGdW+WUq+eWq+cFuX1uUoycvycpIiJSVlWhJSkiIlImSpIiIiJJZHWSNLOeZrbczD4ys2vjlp9mZvPMbJGZjTOzfQq1m9kpZrbZzN4P9zHDzHqn9wwSM7PDzGyamS0xs8VmdlXcuvZmNsvMPjCzl8ysfoLtW5rZjvDclprZe2Y2OK0nEYGZPWpm681sUZHl+Wb2jpnNN7M5ZnZcgm1PMbOX0xdtdMVcl2+G5zTfzFab2aQE28auy9jnppRwrNFm9ptUnEeR4xR3TU6Ii3eFmc1PsH3smpwf91OrmOMNNrN7U3U+CY6X7FqM+vvmZnZj3LLGZvZdOs9BMsTds/KHYBqtj4EjgFrAAqAtQWL/Amgdfu5PwC8TbH8K8HLc+3xgBdA9C87tUKBj+Loe8B+gbfh+NnBy+PoS4M8Jtm8JLIp7fwQwH7g40+dWJM6TgI7xsYbLJwO9wtc/BaaX9O+XLT/JrssEn3sW+EV5zwsYDfwmDeeV9Jos8rnbgFEJlu91TUY43mDg3jT+uyW7FqP+vn0CvB+37PLwdy7yOQA10nW++qm4n2xuSR4HfOTun7j7TuApoC9wELDT3f8Tfu514JySdubu8wkS6pUAZtbEzJ41s9nhT7dw+QFm9lj4zXKhmZW479Jy9zXuPi98vRVYCjQPV7cGZoSvo57bJ8A1wP+E57B/+M35vbC12TdcXt3Mbg1b4AvNbFjFntk+cc0A/ptoFRD7xt4AWF3cfszsuPDb/vtm9raZtQmXDzaz58zsNTP70MxurtATSCzZdRkfb33gNGCflmQyya7HUKy186GZDamIkyiqhGsyFqMB5wJPRt1vsmsxdJiZTQ/P64YKOI2kirkWo/6+bQeWmlmsoMB5wNOxlWZ2lpm9G57jFDM7JFw+2sweN7OZwOMVcS6SXhmZTzKi5gQtxpiVQGeC0lA1zKzA3ecA/YHDIu5zHjAifH0XcIe7v2VmhxNMAv1j4A/AZnfPAzCzA8t9JsUws5ZAB+DdcNFigv90JwEDKN25HRW+/j3wb3e/xMwaAu+F3Xq/IPhWnO/B5NeNKuIcymA48C8zu5WgZ6BrCZ9fBpwYxtwD+Cvf/2eWT/D39y2w3MzucfcvkuynIiS7LuP9DJjq7luS7OPEuC7Lie7+F5JfjwDHAMcD+wPvm9kr7l7sF4vySHBN7okbWOfuHybZ9Idx5zXT3a8g+bUIwReOdgQJaHZ4XnMq8FSiKM3v21PAQDNbB+wi+HLXLFz3FnC8u7uZ/Qr4LfC/4bq2wAnuviMF8UuKZXOSTCi8CAcCd5jZfgRdd7sibm5xr3sAbYMvxwDUN7MDwuUD4473VfmjThJMcLxngeFx/6FeAtxtZn8AXgR2Rt1d3OufAH3i7mXVBg4nOLcH3b0QwN0TfbNOh8uBq939WTM7F3gkjC2ZBsA4MzuSoBVaM27dVHffDGBmS4AfsHcSy4TzgTHFrH/T3YveH092PQK8EP4Hu8PMphEkl8it1NJIck3GnE/xrciP3T2/yLJk1yLA6+7+ZXjc54ATgHQnydL8vr0G/BlYB0wosq4FMMHMDiXohv80bt2LSpCVVzYnyVXs/a2uRbgMd59F8K0WM/sJQZdJFB0IupEgaMEc7+7fxH8g7j+plDKzmgT/GY139+diy919GcF/LJhZa+DMiLuMPzcDznH35UWOWd6wK8pFQGxgyESKTygQ/Mc0zd37ha2c6XHrvo17vYvUX9NJr0sIBnQQJLF+pdxvcddj0YeZU/Jwc7JrMlxXAzgbOLa0uyXxtdiZNJ1XcUrz++buO81sLkELsS3QJ271PcDt7v6imZ1CcC855usKDlvSKJvvSc4GjjSzVhaMkhtI8E0PMzs4/HM/YCTwYEk7M7NjCLpS7wsXTQaGxa2PfQN+HbgibnmFd7eG93YeAZa6++1F1sXOrRpwPdHOrSVwK8EvKgRddcPC42BmHcLlrwOXhv/hkcHu1tXAyeHr04Bk3XcxDfg+EQ1OUUxRJb0uQ/0JBuZ8k3Dr5JJdjwB9zay2mR1EMPBndpkiL0Zx12SoB7DM3VeWctfJrkWA082skZnVIeiinlmG0MulDL9vtwEjE/TCxF+jF1VokJJRWZskwy7BKwl+yZYCT7v74nD1CDNbCiwEXnL3fyfZzYnhjfTlBMnxf9x9arjuf4ACCwawLAEuC5ffCBxoweCWBcCpFX92dAMuBE6z74fL/zRcd76Z/YfgPtxq4LEk+/hheG5LCQYQ3O3usc/+maBLcqGZLQ7fQ9Bi+zxcvgC4oMLPLI6ZPQnMAtqY2Uoz+2W4aghwWxjDX4GhCTavwfetxJuB/2dm75Ph3o8SrksIkmbkgS1xkl2PEFzn04B3CEZfpuJ+ZHHXJJT9vJJdiwDvEbRcFwLPpvJ+ZDHXYtTfNwDcfbG7j0uwajQwMWxpVsYptSQJlaWTrGTBc3rN3f23mY5FRKqubL4nKVWUmT1CMOrx3EzHIiJVm1qSIiIiSWTtPUkREZFMU5IUERFJQklSREQkCSVJyWpmtit8HGGxmS0ws/8Nn2krbpuWZpbSx1tKy8zeLse2g82sWcmf3GubllZkxgsRKT0lScl2O9w9392PBk4HegElFcNuSYqfAS0tdy+pPm1xBvN9jVARSSMlSak03H09QeGBKy3Q0oI5HOeFP7FEdBNhEXEzu9qC2U9usWB2jYVmdmnRfZvZTWYWX2lptJn9xoJZYaaG+//A4maxMLNfhPtbYGaPh8sOMbPnw2ULYjGZ2bbwz1MsmPniGTNbZmbj46rRjApjXGRmD4Xn2B8oAMaH51PHzI41szfMbK6Z/cuCeqGEyxeERRr2nIuIlEOm5+rSj36K+wG2JVi2CTgEqAvUDpcdCcwJX5/C3nOJDgWuD1/vR1BEu1WRfXYA3oh7v4SgRmsNoH64rDHwEUE90qMJ5lxsHK5rFP45gaA4OARzTzaIP48wts0ENV+rEVSBOSF+H+Hrx4GzwtfTgYLwdU3gbaBJ+P484NHw9ULgpPD1LZRifkf96Ec/iX9UTEAqs5rAvWGd010kL3T/E+CYsFUGQZ3NI4mbqcHd3zezg8N7f02Ar9z9CwuKfv/VzE4CdhNMlXUIQc3Zie6+Mdw+VsvzNIIpyXD3XQQJsaj3PKyBasHUUi0Jplo61cx+S5D8GxFM4/RSkW3bEBRaeD1sgFYH1lgwDVVDD+ZNhCDJ9kry9yEiESlJSqViZkcQJMT1BPcm1wHtCVplyYqKGzDM3f9Vwu4nEhQob8r3UyENIkiax7r7d2a2gmC6p/LYZ+YSM6sN3E/QYvzCzEYnOY4Bi929y14LgyQpIhVM9ySl0jCzJgSzNNzr7k7QIlzj7rsJinNXDz+6FagXt+m/gMvDViFm1trM9k9wiAkEhbz7EyRMwmOsDxPkqQTzVQL8Gxhgwcwc8TOqTCWYL5PwXmiDiKcXS4gbLZjTsX/cuvjzWQ40MbMu4TFqmtnR7r4J2GRmJ4SfGxTxuCJSDCVJyXZ1Yo+AAFMIppT6Y7jufuCicKDKUXw/b99CYFc4iOVqgtlPlgDzwsci/k6CXhQPZvOoB6xy9zXh4vEEs3N8QNCNuizus38B3giPH5te6iqCbtMPgLkE8w6WKExyDwOLCJJ6/HRYY4EHw67Z6gQJ9G/hcecDsQFLFwP3hZ/LmslDRSoz1W4VERFJQi1JERGRJJQkRUREklCSFBERSUJJUkREJAklSRERkSSUJEVERJJQkhQREUni/wPIVaVVMfDC2QAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7352,7 +8321,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7376,7 +8345,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7400,7 +8369,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7424,7 +8393,7 @@
     },
     {
      "data": {
-      "image/png": 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dw+LiYrvmmmvWjh079quox1KSFBFJsnpTpfrkJR3ZsCKpU2XRtvtWTrqr0oHTL7rooi9OPvnkAyZOnLhh165dPPnkk3tNnDhxzT//+c/mS5cufdfdOeaYY77/97//vennn3/eoF27djvnzp37AcDGjRtzqxKOkqSISAqoSjV1unXrtqNly5ZFr732WuN169bl9ejRY+uCBQv2fOWVV5p37969O8DWrVtzVq5c2Wjo0KFbfvnLX3a86KKL2o8cOXLzsGHDqjToecIkaWaNgBHAYGA/YBuwDHjO3cuPKSUiIvVDghJfKp133nlf3H///a03bNiQd9555218+eWXm40fP37d1VdfXW6gg7feemvF448/3uKGG25o//LLL399++23r4t6nEqTpJndRJAg5wJvABsI+jx2BW4JE+hV7r60CucmIpJV1N+x9p1zzjmbfvOb37QvKiqyU0899aO8vDyfNGnSfuPGjfuyRYsWxR9//HFew4YNfefOnda2bduiiy+++Mu99tpr1wMPPNA68d6/k6gk+aa73xhn3f+ZWVsgCyvaRUQqp8Y56dWoUSMfNGjQ1y1bttzVoEEDTjnllK+XL1/eqH///gcBNGnSpHj69Okfr1y5co/rrruuQ05ODg0aNPC77767SmOcVmnsVjNr4u5bq3guNab5JEUk0yR7nNVUyOaxW3ft2kWPHj26z5w588ODDz7425rur0Zjt5rZIIKZPJoCncysN3CBu19c08BEROoC9XfMHIsWLWo0cuTIA48//vivkpEgKxO1desU4DjgaQB3X2JmR6QsKhGRDKAq1czUr1+/7Z999tk7tXGsyF1A3P3TYDrIUruSH46ISOaoN/0dq6a4uLjYcnJysmZ2puLiYgOKK1oXNUl+Gla5upnlAVcA7yYpPhGRjKUq1XKWFRQUdG/Tps3mbEiUxcXFVlBQ0IKga2M5UZPkhQTTXLUnmNrqJeCSpEQoIpIh1JUjsaKiop+uX7/+/vXr1/cEctIdTxIUA8uKiop+WtHKqEnS3H108mISEck8sdWroOeOFenXr98G4MR0x1FboibJ18xsNTADeNzdN6UuJBGR9FH1qsSKlCTdvauZHQqcCfzSzFYAj7r7wymNTkQkhVS9KolErk929zfd/UqCuSC/BKalLCoRkVpQUr1aQtWrUlbUwQSaAycTlCQPAJ5AEyeLSB0UW3rUgACSSNRnkkuAJ4Gb3X1+CuMREUmqslWqsYMCqOQoiURNkvt7VQZ5FRHJEGVbrGpQAKmKRFNl/c7dxwNPm1m5JOnu9aYZsIjUXapSlepKVJJ8KPx5e6oDERGprrJVqrHUYlVqotLWre6+KHzbx93nxb6APqkPT0QksbKtVGPpuaPURNRnkucSDEsXa0wFy0REaoVaqUptSPRM8izgR0AXM3s6ZlUzgr6SIiJpEdsgR6VFSZVEJcnXgXVAa+C3Mcu3AEtTFZSICER71qjSo6RSpUnS3T8BPgH0WygiKVFZIiw70XEslR6lNkQdcecw4A/AD4CGQC7wjburyZiI1EjZfoyx1KdR0i1qw507CYakmwnkAz8GuqYqKBGpX1RtKpkqapLE3T8ws1x33wX8xczeBq5LXWgiko0084bUJVGT5FYzawgsNrPbCBrzZMOM1CJSyzSxsdQlUZPkOQTPIS8FfgZ0BE5NVVAikl3Up1HqqqiTLn8Svt0G3JS6cEQkG2jmDckWiQYTeAeIO/uHu/dKekQiUudp5g3JFolKkiNqJQoRyTqqUpVsEGUwARERkXop6mACW/iu2rUhkIcGExARkSwXteFOs5L3ZmbASOCwVAUlInWL+j5Ktoo8mEAJd3fgSTO7Ebg2+SGJSF0QmxjLjrGqFqySLaJWt54S8zGHYGi67Qm2aQS8AuwRHmeWu99oZl2AR4G9gUXAOe6+oxqxi0gaxbZgVetVyVZRS5InxLwvAlYTVLlW5lvgaHcvNLM84F9m9nfgSmCKuz9qZvcAPwH+WLWwRSQTqAWrZLuozyTPq+qOw2rZwvBjXvhy4GiCiZwBpgGTUJIUyXh67ij1UdTq1i7AZUDn2G3c/cQE2+USVKl+H7gL+BDY5O5F4Vc+Ayp8cGFm44BxAJ06qQpHJN005qrUR1GrW58EHgCeAYqj7jycMaSPmbUEngAOqsK29wL3AuTn58cd9UdEUkdjrkp9FzVJbnf3O6p7EHffZGZzgIFASzNrEJYmOwAVT0kuImkXW3pUyVHqo6hJ8vdhl4+XCBrkAODub8XbwMzaADvDBNkYOBa4FZgDjCJo4Xou8FQ1YxeRJIv33FGlR6mvoibJgwmmyzqa76pbSxrhxLMvMC18LpkDPObuz5rZCuBRM/s18DZBNa6IpIn6O4rEFzVJngbsX5X+jO6+FDikguUfAYdG3Y+IpJb6O4rEFzVJLgNaAhtSGIuIpImqVEUqFjVJtgRWmtkCdn8mWWkXEBHJPOrvKBJd1CR5Y0qjEJFao/6OItFFHXFnXqoDEZHao+pVkWg0n6RIPVDRoAAikpjmkxSpBzQogEj1aD5JkXpCVawiVZey+SRFJH3UglUkOVI5n6SIpIlasIokR8rmkxSR2qUZO0SSL2p16zTgCnffFH7eC/itu5+fyuBEJL6yVaqx466q5CiSHFGrW3uVJEgAd//KzMqNyyoitadslarGXRVJvqhJMsfM9nL3rwDMrFUVthWRJFGVqkjtiprofgvMN7OZ4efTgN+kJiQRKaEqVZH0itpw50EzW8h380ee4u4rUheWiICqVEXSrdIkaWZN3b0QIEyK5RJj7HdEpGbi9W9UlapIeuQkWP+Umf3WzI4wsz1LFprZ/mb2EzN7ERiW2hBF6o+SkmMJVamKpFelJUl3H2pmPwQuAA4PG+zsBFYBzwHnuvv61IcpUn+o5CiSORI+k3T354HnayEWkXpJM3SIZK5E1a0ikmKxVayqXhXJLOrrKFLL1DhHpO5QSVKklqlxjkjdkagLSKvK1rv7l8kNR6R+UMlRpG5IVN26CHDAgE7AV+H7lsB/gC4pjU4kS6hxjkjdlKgLSBcAM7sPeCJs6YqZHQ+clPrwROomDScnkh2iNtw5zN3Hlnxw97+b2W0pikmkztNwciLZIWqSXGtm1wMPh59HA2tTE5JI3aQZOkSyT9QkeRZwI/AEwTPKV8JlIvWWqlRFsl/UWUC+BK4wsz3d/ZsUxyRSJ6hKVST7RUqSZjYIuB9oCnQys97ABe5+cSqDE8l0qlIVyW5Rq1unAMcBTwO4+xIzOyJlUYlkKHXlEKlfIo+44+6fllm0K8mxiGQ8jbMqUr9ELUl+Gla5upnlAVcA76YuLJHMoHFWReq3qCXJC4FLgPbAGqAPoOeRkvU0zqpI/Ra1JNnN3UfHLjCzw4HXkh+SSGZRyVGk/oqaJP8A9I2wTKTOU+McESmRaBaQgcAgoI2ZXRmzqjmQm8rARNIltv+jqldF6rdEJcmGBH0jGwDNYpZ/DYxKVVAitUmNc0QknkSzgMwD5pnZVHf/pCo7NrOOwIPAPgRD2d3r7r8P56icAXQGVgOnu/tX1YhdJCnKjpyj0qOIlIj6THKrmU0GegCNSha6+9GVbFMEXOXub5lZM2CRmf0DGAPMdvdbzOxa4FpgQrWiF0kSlRxFpCJRk+R0gtLfCILuIOcCBZVt4O7rgHXh+y1m9i5BF5KRwJDwa9OAuShJSi1T4xwRiSJqP8m93f0BYKe7z3P384HKSpG7MbPOwCHAG8A+YQIFWE9QHVvRNuPMbKGZLSwoqDQfi1SZRs4RkSiiliR3hj/XmdlwgrkkW0XZ0MyaAo8D4939azMrXefubmZe0Xbufi9wL0B+fn6F3xGpCVWxikgiUZPkr82sBXAVQf/I5sDPEm0UDmH3ODDd3f8WLv7czPZ193Vmti+woRpxi1RJvBasIiKViVTd6u7Puvtmd1/m7ke5ez93f7qybSwoMj4AvOvu/xez6mmCZ5qEP5+qTuAiVaHh5USkOqLOJ9kGGEvQbaN0m/DZZDyHA+cA75jZ4nDZL4BbgMfM7CfAJ8DpVQ9bpOpUvSoiVRW1uvUp4FXgZSJOkeXu/wIszuqhEY8rUi2qXhWRZIiaJJu4u7ppSEaLTYxvfPwlAAO6BO3LVL0qItURNUk+a2Y/dPfnUxqNSA3EjpwzoEsrRvZpz48GdEp3WCJSh0VNklcAvzCzbwm6gxhBDw7VX0naaMxVEUm1SEnS3Zsl/pZI6qlKVURqU6Kpsg5y95VmVuG8ke7+VmrCEqmYqlRFpDYlKkleCYwDflvBOqcKQ9OJVIeqVEUknRJNlTUu/HlU7YQjsjtNYyUi6RR1MIFLCIaW2xR+3gs4y93vTmVwIqBBAEQkfaLOAjK2JEEChJMkj01NSCIiIpkhaheQXDMzd3cAM8sFGqYuLKnPNNejiGSKqCXJF4AZZjbUzIYCj4TLRJJOcz2KSKaIWpKcQNDK9aLw8z+A+1MSkQh6DikimSFqkmwM3Ofu90BpdesewNZUBSYiIpJuUZPkbOAYoDD83Bh4CRiUiqCkftGMHSKSqaImyUbuXpIgcfdCM2uSopikHtDwciJSF0RNkt+YWd+SYejMrB+wLXVhSbbT8HIiUhdETZLjgZlmtpZgBpB2wBkpi0rqBTXOEZFMF3UWkAVmdhDQLVy0yt13pi4syTZ67igidVHUfpIQJMjuQF/gLDP7cWpCkmwU2/cR9NxRROqGqGO33ggMIUiSzwPHA/8CHkxZZJJ1VL0qInVN1GeSo4DewNvufp6Z7QM8nLqwJBtoeDkRqeuiVrduc/dioMjMmgMbgI6pC0uygYaXE5G6LmpJcqGZtQTuAxYRDCowP2VRSdZQFauI1GVRW7deHL69x8xeAJq7+9LUhSV1kVqwiki2iVTdamZPm9mPzGxPd1+tBCkVUQtWEck2Uatbf0sweMD/mtkC4FHgWXffnrLIpE6oqHGOqldFJFtEKkm6+7ywynV/4E/A6QSNd6SeU+McEclmUUuSmFlj4ASCEmVfYFqqgpK6RaVHEclWUQcTeAw4FHgBuBOYF3YJkXpGjXNEpD6JWpJ8ADjL3XelMhjJfLGzd4CqWEUku0XtAvJiqgORukPVqyJSX0R+Jin1k6pXRaQ+q8osIFIPqe+jiNRnURvuzHb3oYmWSXZQ30cRkUClJUkza2RmrYDWZraXmbUKX50BFSeylPo+iogEEpUkLwDGA/sRDGxu4fKvCbqCSJZS6VFEJEGSdPffA783s8vc/Q+1FJPUMjXOERGpWNQuIH8ws0FA59ht3P3BeNuY2Z+BEcAGd+8ZLmsFzAj3sxo43d2/qmbsUgOxifGNj78EYECXVoCqWEVESkRtuPMQcACwGCgZUMCBuEkSmEpQJRv7nWuB2e5+i5ldG36eUMWYJQliBwUY0KUVI/u050cDOqU7LBGRjBK1n2Q+0N3dPeqO3f2VsIFPrJHAkPD9NGAuSpJpo+eOIiKVi9pPchnQLgnH28fd14Xv1wP7JGGfIiIiKRG1JNkaWGFmbwLflix09xOre2B3dzOLWzI1s3HAOIBOnVQNKCIitS9qkpyUpON9bmb7uvs6M9uXSuakdPd7gXsB8vPzI1fzSsXUglVEpOoiT7pM0Bo1L3y/AHirGsd7Gjg3fH8u8FQ19iHVoOHlRESqLmrr1rEEVZ+tCFq5tgfuAeIOS2dmjxA00mltZp8BNwK3AI+Z2U+AT4DTaxK8VI0a6oiIVE3U6tZLCCZdfgPA3d83s7aVbeDuZ8VZpfFea0lFY7CKiEh0UZPkt+6+wywYlc7MGhD0k5QMUva5Y+wgAapeFRGpuqhJcp6Z/QJobGbHAhcDz6QuLKmO2AECAA0SICJSQ1GT5LXAT4B3CAY9fx64P1VBSfXpuaOISPJETZKNgT+7+30AZpYbLtuaqsAkGj13FBFJnagj7swmSIolGgMvJz8cqSrN/SgikjpRS5KN3L2w5IO7F5pZkxTFJFWkKlYRkdSIWpL8xsz6lnwws37AttSEJCIikhmiliSvAGaa2VrACAY7PyNlUUlcGl5ORKT2JEySZpYDNAQOArqFi1e5+85UBibf0QTJIiLpkTBJunuxmd3l7ocQTJkltUwTJIuIpEfU6n7MAVMAAA1sSURBVNbZZnYq8LeqTLwsyaPGOSIitS9qkrwAuBLYZWbbCJ5LurvrYVgK6LmjiEhmiDpVVjN3z3H3PHdvHn7W/9opommtREQyQ9SpsgwYDXRx91+ZWUdgX3d/M6XR1SMVjZyj6lURkfSKWt16N1AMHA38CigE7gL6pyiurKcZO0REMl/UJDnA3fua2dsA7v6VmTVMYVxZTzN2iIhkvqhJcmc4qLkDmFkbgpKl1ICqVEVEMlvUJHkH8ATQ1sx+A4wCrk9ZVFlILVZFROqeSEnS3aeb2SJgKEH3j5Pc/d2URpZlylav6rmjiEjmqzRJmlkj4ELg+wQTLv/J3YtqI7BsoBarIiJ1W6KS5DRgJ/AqcDzwA2B8qoOqq9RiVUQkuyRKkt3d/WAAM3sAUL/ISqjFqohIdkmUJEtn+nD3omBMAYmlKlURkeyVKEn2NrOS8dEMaBx+1titodjSo6pURUSyS6VJ0t1zayuQukylRxGR7BS1n6SE1N9RRKT+iDQLiHxHM3SIiNQfKklGoMY5IiL1k0qSEcSWHlVyFBGpP1SSjEilRxGR+kdJsgJqnCMiIqAkWSo2McYOJweqYhURqa+UJEOxgwJoODkREQElyd3ouaOIiMSqt0lSzx1FRCSRetsFRIMCiIhIIvWqJKlBAUREpCqyOkne9MxyVqz9rrSoSZBFRKQq0pIkzWwY8HsgF7jf3W+pjeOq1aqIiFRFrSdJM8sF7gKOBT4DFpjZ0+6+ItnHuvGEHsnepYiI1CPpKEkeCnzg7h8BmNmjwEgg6UmSv18L699J+m5FRGpFu4Ph+FqpaJM40tG6tT3wacznz8JluzGzcWa20MwWFhQU1FpwIiIiJTK24Y673wvcC5Cfn+/V2on+AhMRkRpIR0lyDdAx5nOHcJmIiEhGSUeSXAAcaGZdzKwhcCbwdBriEBERqVStV7e6e5GZXQq8SNAF5M/uvry24xAREUkkLc8k3f154Pl0HFtERCSqejt2q4iISCJKkiIiInEoSYqIiMShJCkiIhKHuVevn35tMrMC4JNqbt4a+CKJ4WQTXZv4dG0qpusSXyZem++5e5t0B1GX1YkkWRNmttDd89MdRybStYlP16Ziui7x6dpkJ1W3ioiIxKEkKSIiEkd9SJL3pjuADKZrE5+uTcV0XeLTtclCWf9MUkREpLrqQ0lSRESkWpQkRURE4sjoJGlmw8xslZl9YGbXxiw/2szeMrNlZjbNzMoN1G5mQ8xss5m9He7jFTMbUbtnkBpm1tHM5pjZCjNbbmZXxKzrbWbzzewdM3vGzJpXsH1nM9sWXpt3zexNMxtTqydRC8zsz2a2wcyWlVnex8z+bWaLzWyhmR1awbZDzOzZ2ou2dlRyT70aXo/FZrbWzJ6sYNuSe6rkey8nONYkM/t5Ks4j2RLcUzNiznm1mS2uYPuSe2pxzKthJccbY2Z3pup8JIncPSNfBNNofQjsDzQElgDdCRL7p0DX8Hs3Az+pYPshwLMxn/sAq4Gh6T63JFybfYG+4ftmwHtA9/DzAuDI8P35wK8q2L4zsCzm8/7AYuC8dJ9bkq/TEUDf2HMNl78EHB++/yEwN9HvTza84t1TFXzvceDHNb0mwCTg5+k+74ixxr2nynzvt8DECpbvdk9FON4Y4M50n7deiV+ZXJI8FPjA3T9y9x3Ao8BIYG9gh7u/F37vH8CpiXbm7osJEuqlAGbWxsweN7MF4evwcHlTM/tLWBJbamYJ913b3H2du78Vvt8CvAu0D1d3BV4J30e9Nh8BVwKXA5jZnmEp7M2wtDkyXJ5rZreHJfilZnZZcs8sudz9FeDLilYBJSXsFsDayvZjZoeGpfO3zex1M+sWLh9jZn8zsxfM7H0zuy2pJ5B88e6pUmHNw9FAuZJkPPHupVBJzcb7ZjY2GSeRCgnuKQDMzIDTgUei7jfevRTqaGZzw2tzYxJOQ1IgLfNJRtSeoMRY4jNgAMGwTw3MLN/dFwKjgI4R9/kWcHX4/vfAFHf/l5l1IpgE+gfADcBmdz8YwMz2qvGZpJCZdQYOAd4IFy0n+I/vSeA0qnZtDgrf/xL4p7ufb2YtgTfDqrUfE/zF3MeDybNbJeMc0mA88KKZ3U5QMzEowfdXAoPDcz4G+B++++OjD8H1/xZYZWZ/cPdP4+wn3eLdU7FOAma7+9dx9jE4prpxprv/hvj3EkAv4DBgT+BtM3vO3Sv9oyTdKrinSgwGPnf39+NsekDMtXnN3S8h/r0EwR8tPYGtwILw2ixM4qlIEmRykqyQu7uZnQlMMbM9CKrOdkXc3GLeHwN0D/44BKC5mTUNl58Zc7yvah51aoTxPg6Mj/lP7XzgDjO7AXga2BF1dzHv/xs4MeZ5UiOgE8G1ucfdiwDcvaJSWl1wEfAzd3/czE4HHiA4t3haANPM7ECCUmhezLrZ7r4ZwMxWAN9j90RU15wF3F/J+lfdveyz/Xj3EsBT7r4N2GZmcwgSQ+RSam2Lc0+VOIvKS5EfunufMsvi3UsA/3D3jeFx/wb8F6AkmWEyOUmuYfdSUIdwGe4+n+CvOszsvwmqGKM4hKAaBYISxGHuvj32CzE3ekYzszyCm3m6u/+tZLm7ryS4MTGzrsDwiLuMvTYGnOruq8ocs6ZhZ4pzgZKGGTOpPCkA/AqY4+4nh6WMuTHrvo15v4s6ek8BmFlrgiR2chX3W9m9VLYjdsZ2zI53T4XrGgCnAP2qulsqvpcGUIeuTX2Wyc8kFwAHmlmXsJXYmQQlI8ysbfhzD2ACcE+inZlZL4Kq1LvCRS8Bl8WsL/kL8B/AJTHLM666NXw28gDwrrv/X5l1JdcmB7ieaNemM3A78Idw0YvAZeFxMLNDwuX/AC4I/8OgDle3rgWODN8fDcSrPivRgu+SyZgUxVQb4t5ToVEEDXO2V7h1fPHuJYCRZtbIzPYmaPizoFqRp1hl91ToGGClu39WxV3Hu5cAjjWzVmbWmKCa+7VqhC4plrFJMqzSu5Tgl+xd4DF3Xx6uvtrM3gWWAs+4+z/j7GZw+LB8FUFyvNzdZ4frLgfywwYoK4ALw+W/BvYKG6csAY5K/tnV2OHAOcDR9l1z8x+G684ys/cInqOtBf4SZx8HhNfmXeAx4A53L/nurwiqFJea2fLwMwQlrv+Ey5cAP0r6mSWRmT0CzAe6mdlnZvaTcNVY4LfhOfwPMK6CzRvwXSnxNuB/zextMrukWKkE9xQESTNyo5QY8e4lCO7ROcC/CVpaZ+rzyMruKaj+tYl3LwG8SVByXQo8rueRmUnD0olUwIJ+cu3d/Zp0xyIi6VNn/yoWSRUze4Cg1eHp6Y5FRNJLJUkREZE4MvaZpIiISLopSYqIiMShJCkiIhKHkqRkNDPbFTbHX25mS8zsqrAPaGXbdDazjOqeYmav12DbMWa2XxW36WxlZj8RkapTkpRMt83d+7h7D+BY4Hgg0WDQncmwPpzunmh82MqMAaqUJEUkOZQkpc5w9w0EHf8vtUBnC+ZBfCt8lSSiWwgH4jazn1kwe8lkC2aoWGpmF5Tdt5ndYmaxIy1NMrOfWzArzOxw/+9YzCwOZvbjcH9LzOyhcNk+ZvZEuGxJSUxmVhj+HGLBzA+zzGylmU2PGY1lYhjjMjO7NzzHUUA+MD08n8Zm1s/M5pnZIjN70cz2DbfvV3JcYkaNEpEaSPdcXXrpVdkLKKxg2SZgH6AJ0ChcdiCwMHw/hN3nEh0HXB++34NgEOkuZfZ5CDAv5vMKgnFOGwDNw2WtgQ8IxuPsQTDnYOtwXavw5wyCwbEhmL+xRex5hLFtJhg3NYdgRKD/it1H+P4h4ITw/VwgP3yfB7wOtAk/nwH8OXy/FDgifD+ZKsxvqJdeelX80mACUpflAXeGY4XuIv5A9/8N9ApLZRCMxXog8HHJF9z9bTNrGz77awN85e6fWjDo9f+Y2RFAMcF0U/sQjPk6092/CLcvmRHlaIIpxXD3XQQJsaw3PRwD1IKplToD/wKOMrNrCJJ/K4Jpz54ps203goEO/hEWQHOBdRZMw9TSgzk0IUiyx8e5HiISkZKk1Clmtj9BQtxA8Gzyc6A3Qaks3sDcBlzm7i8m2P1MgkG+2xGUCAFGEyTNfu6+08xWE0x3VBPlZg4xs0bA3QQlxk/NbFKc4xiw3N0H7rYwSJIikmR6Jil1hpm1IZjV5E53d4IS4Tp3LyYYnDo3/OoWoFnMpi8CF4WlQsysq5ntWcEhZhAMZD2KIGESHmNDmCCPIpgvEuCfwGkWzG4ROyPKbIL5KgmfhbaIeHolCfELC+Y0HBWzLvZ8VgFtzGxgeIw8M+vh7puATWb2X+H3Rkc8rohUQklSMl3jki4gwMsE0zLdFK67Gzg3bKhyEPBNuHwpsCtsxPIzgtlLVgBvhd0i/kQFtSgezIjRDFjj7uvCxdMJZrh4h6AadWXMd38DzAuPXzK90hUE1abvAIuA7lFOMkxy9wHLCJJ67JRSU4F7wqrZXIIEemt43MVASYOl84C7wu9lzeSfIumksVtFRETiUElSREQkDiVJERGROJQkRURE4lCSFBERiUNJUkREJA4lSRERkTiUJEVEROL4f/Ul/OwTJRGXAAAAAElFTkSuQmCC\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7438,7 +8407,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## COVID vaccination rollout among **shielding (aged 16-69)** population up to 05 Mar 2021"
+       " ## COVID vaccination rollout among **shielding (aged 16-69)** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7461,7 +8430,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7485,7 +8454,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7509,7 +8478,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7533,7 +8502,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7557,7 +8526,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7581,7 +8550,7 @@
     },
     {
      "data": {
-      "image/png": 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T9vfff/+g2bNnN+zYsWPHTp06dfzkk0+yly1blt2jR48db731VsPLL7/8sKlTp9Zv2rTp3lTKSlqTNLNsYBDQDzgU2AEsBl51d02hICJSXSWp8aXTxRdfvP6RRx5ptm7duloXX3zxhmnTpjUYOXLkmlGjRh3Qh3P+/PlLnnvuuUY333zzYdOmTds8ZsyYNVHLSZgkzez3BAlyJvAfYB2QDbQH7ggT6LXuviiF1yYiIlIqF1xwwcY//vGPh+Xn59vgwYM/rVWrlo8ePfrQESNGfNOoUaN9n332Wa3atWv7nj17rHnz5vlXXHHFNwcffPDe8ePHN0ulnGQ1yffc/dY42+4xs+ZAm1QKFBERKa3s7Gzv27fv5saNG++tWbMmZ5999uaPPvoou1evXkcA1KtXb9+kSZM+W7ZsWZ0bb7yxVY0aNahZs6Y/8MADn6dSTsIk6e6vxj43s3ruvj1m+zqC2qWIiEi52bt3L/Pnz6//zDPPfFKw7uabb153880375eTOnXqtGvw4MFLSlpOpIY7ZtbXzJYAy8LnXc3sgZIWKiIiUlLz5s3L/t73vtelX79+m7t06ZJwPuLSitoFZCxwCvASgLsvNLNjEx0Q3q+cDdQJy3nW3W81s4nAccCmcNdh7n7gfDoiIhlOgwNUjJ49e+786quvPiyPsiL3k3T3L80sdlWyZrS7gBPcfauZ1QLeNrN/httGufuzqYUqIpJZqungAPv27dtnNWrUyPwppCLat2+fAfuK2xY1SX5pZn0BDxPeNcDSRAd4MAfX1vBprfBRZd5UERGoYoMDRLM4Ly+vY05OzqaqkCj37dtneXl5jQi6Nh4gapK8DPgLcBiwCngd+FWyg8wsC5gH/AC4393/Y2aXA380s1uA6cAN7p7Wa8oiIlI28vPz/2ft2rWPrF27tjNVY0CafcDi/Pz8/yluY9Qkae5+Xqolu/teoJuZNQammFln4EZgLVAbGAdcD/zhgALNRgAjANq0US8TEZFM0LNnz3XA6RUdR3mJ+l/AO2b2upn9Mkx4KXH3jcAMYIC7r/HALuBR4Kg4x4xz91x3z83JyUm1SBERkVKLlCTdvT1wE9AJmG9mr5jZ+YmOMbOcgoRqZnWBk4FlZtYyXGfAmcS5DiwiIlLRIl9Pdvf33P3XBDW/b4DHkhzSEphhZouA94E33P0VYJKZfQh8CDQDbi9R5CIiImkW6Z6kmTUEzgKGAN8HphDnMmmBcDzX7sWsPyH1MEVE0k/9HqWoqA13FgIvAH9w9zlpjEdEpMJU036PkkDUJNku7PcoIlKlVcN+j5JAsqmy/uzuI4GXzOyAJOnu1aYZsIiIVD/JapJPhD/HpDsQERGRTJNsqqx54WI3d/9L7DYzuwaYla7AREREKlrULiAXFbNuWBnGISIiknGS3ZMcCvwCONzMXorZ1ICgr6SIiEiVleye5LvAGoJO/3fHrN8CLEpXUCIiJZFqP8ei1O9Rikp2T/Jz4HNA7aFFJOOl2s+xKPV7lKKijrjTG/gr8COC2TuygG3urn+5RCSjqJ+jlKWoDXfuA4YCK4C6wP8A96crKBERkUyQygDnHwNZ7r7X3R8FBqQvLBERkYoXdVi67WZWG1hgZncSNOapCjNSi4iIxBU10V1AcB/ySmAb0BoYnK6gREREMkGkmmTYyhVgB/D79IUjIiKSOZINJvAhEHf2D3c/sswjEpFqo7T9GotSP0cpa8lqkoNKemIzywZmA3XCcp5191vN7HDg70BTYB5wgbvvLmk5IlJ5lbZfY1Hq5yhlLcpgAiW1CzjB3beaWS3gbTP7J/BrYKy7/93MHgJ+CTxYinJEpBJTv0bJZJEa7pjZFjPbHD52mtleM9uc6BgPbA2f1gofDpwAPBuufww4s4Sxi4iIpFXUhjsNCpbNzIAzgN7JjjOzLIJLqj8gGHzgE2Cju+eHu3wFFHttxMxGACMA2rRpEyVMERGRMpVyX8ewhvgCcEqEffe6ezegFXAUcEQK5Yxz91x3z83JyUk1TBERkVKLOnbr2TFPawC5wM6ohbj7RjObQTBQemMzqxnWJlsBZde0TUREpAxFHXHntJjlfGAlwSXXuMwsB9gTJsi6wMnAn4AZwDkELVwvAl5MMWYREZFyEfWe5MUlOHdL4LHwvmQN4B/u/oqZLQH+bma3Ax8A40twbhERkbSLern1cOAqoG3sMe5+erxj3H0R0L2Y9Z8S3J8UkSoolQEC1PlfMl3Uy60vENT4Xgb2pS8cEansUhkgQJ3/JdNFTZI73f3etEYiIlWGBgiQqiJqkvyLmd0KvE4wkg4A7j4/LVGJiIhkgKhJsgvBdFkn8N3l1oLRc0RERKqkqEnyXKCdBiIXEZHqJOqIO4uBxukMREREJNNErUk2BpaZ2fvsf08ybhcQERGRyi5qkrw1rVGISIXRxMci8UUdcWdWugMRkYqhiY9F4os64s4WgtasALUJ5obc5u76d1GkClC/RpHipXU+SRERkcosrfNJioiIVGblMp+kiIhIZZS2+SRFREQqu3TOJykiIlKpRb3c+hhwjbtvDJ8fDNzt7pckOKY18DhwCEHL2HHu/hczGw0MB/LCXX/r7q+V/CWIVG+l7eeofo0i8UW93HpkQYIEcPdvzeyACZWLyAeudff5ZtYAmGdmb4Tbxrr7mBLEKyJFlLafo/o1isQXNUnWMLOD3f1bADNrkuxYd18DrAmXt5jZUkDfRJE0UD9HkfSI2gXkbmCOmd1mZrcB7wJ3Ri3EzNoC3YH/hKuuNLNFZjYhvHRb3DEjzGyumc3Ny8srbhcREZG0ipQk3f1x4Gzg6/Bxtrs/EeVYM6sPPAeMdPfNwIPA94FuBDXNu+OUOc7dc909NycnJ0pRIiIiZSrhJVMzq+/uWwHcfQmwJNE+xWyrRZAgJ7n78+F5vo7Z/jDwSsnDFxERSZ9kNckXzexuMzvWzA4qWGlm7czsl2b2L2BAcQeGw9eNB5a6+z0x61vG7HYWwVyVIiIiGSdZ45sTzeynwKXAMWGDnT3AcuBV4CJ3Xxvn8GOAC4APzWxBuO63wFAz60bQLWRleG4REZGMk7R1a9iHMeV+jO7+NmDFbFKfSKnWNH+jSOWR8gDnIlI6Bf0ay4r6OYqkT9R+kiJShtSvUaRyUE1SREQkjmRdQJok2u7u35RtOCIiIpkj2eXWeQStUA1oA3wbLjcGvgAOT2t0IiIiFSjh5VZ3P9zd2wHTgNPcvZm7NwUGAa+XR4AiIiIVJeo9yd6x01m5+z+BvukJSUREJDNEbd262sxuAp4Mn58HrE5PSCKVS6r9HtWvUaTyiFqTHArkAFOA58PloekKSqQySbXfo/o1ilQekWqSYSvWa8zsIHffluaYRCod9XsUqZoi1STNrK+ZLQGWhs+7mtkDaY1MRESkgkW93DoWOAXYAODuC4Fj0xWUiIhIJog84o67f1lk1d4yjkVERCSjRG3d+qWZ9QU8nEj5GsJLryIiIlVV1JrkZcCvgMOAVUA34Ip0BSUiIpIJoibJDu5+nrsf4u7N3f184EeJDjCz1mY2w8yWmNlHZnZNuL6Jmb1hZivCnweX9kWIiIikQ9TLrX8FekRYFysfuNbd55tZA2Cemb0BDAOmu/sdZnYDcANwfWphi5SfZIMFaHAAkaor2SwgfQiGn8sxs1/HbGoIZCU61t3XAGvC5S1mtpTgcu0ZQP9wt8eAmShJSgYrGCwgXiLU4AAiVVeymmRtoH64X4OY9ZuBc6IWYmZtge7Af4BDwgQKsBY4JM4xI4ARAG3atIlalEhaaLAAkeopYZJ091nALDOb6O6fl6QAM6sPPAeMdPfNZhZ7fjczj1P2OGAcQG5ubrH7iIiIpFPUe5LbzewuoBOQXbDS3U9IdFDYXeQ5YJK7Px+u/trMWrr7GjNrCawrQdwiIiJpF7V16yRgGcEky78HVgLvJzrAgirjeGCpu98Ts+kl4KJw+SLgxRTiFRERKTdRk2RTdx8P7HH3We5+CZCwFgkcA1wAnGBmC8LHT4E7gJPNbAVwUvhcREQk40S93Lon/LnGzAYSzCXZJNEB7v42YHE2nxixXBERkQoTNUnebmaNgGsJ+kc2BP43bVGJpFkqEyWrH6RI9RV1PslXwsVNwPHpC0ekfCTr+xhL/SBFqq9ISdLMcoDhQNvYY8J7kyKVkvo+ikgyUS+3vgi8BUxDU2SJiEg1ETVJ1nN3DR0nIiLVStQuIK+E3TdERESqjahJ8hqCRLnDzDab2RYz25zOwERERCpa1NatDZLvJSIiUrUkmyrrCHdfZmbFzhvp7vPTE5ZIalLp9wjq+ygi0SSrSf6aYLqqu4vZ5iQfmk6kXKTS7xHU91FEokk2VdaI8KcGEJCMp36PIlLWIjXcMbNfmVnjmOcHm9kV6QtLRESk4kVt3Trc3TcWPHH3bwlG4BEREamyoibJrHB+SADMLAuonZ6QREREMkPUEXemApPN7G/h80vDdSIiIlVW1Jrk9cCbwOXhYzpwXaIDzGyCma0zs8Ux60ab2aoikzCLiIhkpKg1ybrAw+7+EBRebq0DbE9wzETgPuDxIuvHuvuYFOOUakb9HkUkE0StSU4nSJQF6hLMCBKXu88GvilhXFLNFfR7jEr9HkUkHaLWJLPdfWvBE3ffamb1SljmlWZ2ITAXuDZsKStyAPV7FJGKFrUmuS12aDoz6wnsKEF5DwLfB7oBayh+JJ+CMkaY2Vwzm5uXl1eCokREREonak1yJPCMma0GDGgB/DzVwtz964JlM3sYeCXBvuOAcQC5ubmealkiIiKlFXUWkPfN7AigQ7hqubvvSbUwM2vp7mvCp2cBixPtLyIiUpGi1iQhSJAdgWygh5nh7kVbrhYys6eB/kAzM/sKuBXob2bdCAZHX0nQ31JERCQjRUqSZnYrQcLrCLwGnAq8zYHdOwq5+9BiVo9PPUQREZGKEbXhzjnAicBad78Y6Ao0SltUIiIiGSDq5dYd7r7PzPLNrCGwDmidxrikkkm1838yGhxARDJB1Jrk3HCqrIeBecB8YE7aopJKJ9XO/8locAARyQRRW7cWzB35kJlNBRq6+6L0hSWVkTr/i0hVE3XS5ZfM7BdmdpC7r1SCFBGR6iDq5da7gR8DS8zsWTM7x8yy0xiXiIhIhYt6uXUWMCuc/eMEYDgwAVDLChERqbIiDyZgZnWB0wiGo+sBPJauoERERDJB1MEE/gEcBUwlmCNylrvvS2dgIiIiFS1qTXI8MNTd96YzGMkcmvRYRCRiwx13/5cSZPWiSY9FRFIb4FyqGfV7FJHqLmoXEBERkWon6mAC06OsExERqUoSXm4NBwyoRzAn5MGAhZsaAroBJSIiVVqye5KXAiOBQwkGNi9IkpsJuoKIiIhUWQkvt7r7X9z9cOA37t7O3Q8PH13dPWGSNLMJZrbOzBbHrGtiZm+Y2Yrw58Fl9DpERETKXNRh6f5qZn2BtrHHuPvjCQ6bSFDbjN3nBmC6u99hZjeEz69PMWYpAfV7FBFJXdSGO08AYwgGOe8VPnITHePus4Fviqw+g++Gs3sMODOVYKXk1O9RRCR1UftJ5gId3d1LWd4h7r4mXF4LHBJvRzMbAYwAaNOmTSmLFVC/RxGRVEXtJ7kYaFGWBYcJN27Sdfdx7p7r7rk5OTllWbSIiEgkUWuSzQjmknwP2FWw0t1PT7G8r82spbuvMbOWwLoUjxcRESk3UZPk6DIq7yXgIuCO8OeLZXReERGRMhd50mUz+x7wQ3efZmb1gKxEx5jZ00B/goEIvgJuJUiO/zCzXwKfAz8rTfAiIiLpFHU+yeEEjWiaAN8nGG3nIeDEeMe4+9A4m+IeIyIikkmiXm79FcGky/8BcPcVZtY8bVFJJKn0fVS/RxGR1EVt3brL3XcXPDGzmiRomSrlI5W+j+r3KCKSuqg1yVlm9lugrpmdDFwBvJy+sCQq9X0UEUmfqDXJG4A84EOCQc9fA25KV1AiIiKZIGpNsi4wwd0fBjCzrHDd9nQFJiIiUtGi1iSnEyTFAnWBaWUfjoiISOaImiSz3X1rwZNwuV56QhIREckMUZPkNjPrUfDEzHoCO9ITkoiISGaIek/yGuAZM1sNGMFg5z9PW1TVlOZ8FBEdnc0AAA6fSURBVBHJLEmTpJnVAGoDRwAdwtXL3X1POgOrjgr6PUZNfOr7KCKSXkmTpLvvM7P73b07wZRZkkbq9ygikjkit241s8FmZmmNRkREJINETZKXAs8Au81ss5ltMbNo46GJiIhUUlGnymqQ7kBEREQyTaSapAXON7Obw+etzeyo9IYmIiJSsaJebn0A6AP8Iny+Fbi/pIWa2Uoz+9DMFpjZ3JKeR0REJJ2i9pM82t17mNkHAO7+rZnVLmXZx7v7+lKeQ0REJG2iJsk94aDmDmBmOcC+tEVVSaU6GEBRGhxARCSzRL3cei8wBWhuZn8E3gb+rxTlOvC6mc0zsxHF7WBmI8xsrpnNzcvLK0VR5SeVSZCLo8EBREQyS9TWrZPMbB5wIsGwdGe6+9JSlPtjd19lZs2BN8xsmbvPLlLmOGAcQG5urpeirHKlwQBERKqOhEnSzLKBy4AfEEy4/Dd3zy9toe6+Kvy5zsymAEcBsxMfJSIiUr6SXW59DMglSJCnAmNKW6CZHWRmDQqWgZ+g4e5ERCQDJbvc2tHduwCY2XjgvTIo8xBgSjjCXU3gKXefWgbnFRERKVPJkmThTB/unl8WQ7e6+6dA11KfSEREJM2SJcmuMWO0GlA3fG6Au7v6K4iISJWVMEm6e1Z5BVIZJOsHqX6OIiJVS9R+kkLyfpDq5ygiUrVEHXFHQuoHKSJSfagmKSIiEoeSpIiISBxKkiIiInEoSYqIiMShJCkiIhKHWrfGUD9IERGJpZpkDPWDFBGRWKpJFqF+kCIiUkA1SRERkTiUJEVEROJQkhQREYmjQpKkmQ0ws+Vm9rGZ3VARMYiIiCRT7knSzLKA+4FTgY7AUDPrWN5xiIiIJFMRrVuPAj52908BzOzvwBnAkrIu6N8PDKfBxqWR9//N7r3Uq50FjzYq61BEREqmRRc49Y6KjqLaqojLrYcBX8Y8/ypctx8zG2Fmc81sbl5eXrkEVq92Fs3q1ymXskREJPNlbD9Jdx8HjAPIzc31kpyj9xUPl2lMIiJSvVRETXIV0DrmeatwnYiISEapiCT5PvBDMzvczGoDQ4CXKiAOERGRhMr9cqu755vZlcC/gCxggrt/VN5xiIiIJFMh9yTd/TXgtYooW0REJCqNuCMiIhKHkqSIiEgcSpIiIiJxKEmKiIjEYe4l6qdfrswsD/i8hIc3A9aXYThlLZPjy+TYILPjy+TYILPjy+TYILPjKxrb99w9p6KCqQoqRZIsDTOb6+65FR1HPJkcXybHBpkdXybHBpkdXybHBpkdXybHVlnpcquIiEgcSpIiIiJxVIckOa6iA0gik+PL5Nggs+PL5Nggs+PL5Nggs+PL5NgqpSp/T1JERKSkqkNNUkREpESUJEVEROLI+CRpZgPMbLmZfWxmN8SsP8HM5pvZYjN7zMwOGKzdzPqb2SYz+yA8x2wzG1SGsU0ws3VmtrjI+q5mNsfMPjSzl82sYTHHtjWzHWFsS83sPTMbVoaxtTazGWa2xMw+MrNrMim+mHLivYdNzOwNM1sR/jy4mGP7m9krZR1TzPkTvYfnhuv2mVmxTe7D93BxcdvKILZ434srw3VuZs3iHFvwvVgQPqYlKWu0mf0mhdji/U6jvmc7YmJbEE6pF6+sYWZ2XwqxJfqd3mVmy8xskZlNMbPG5R2fZCB3z9gHwVRanwDtgNrAQqAjQXL/Emgf7vcH4JfFHN8feCXmeTdgJXBiGcV3LNADWFxk/fvAceHyJcBtxRzbNva48DUuAC4uo9haAj3C5QbAf4GOmRJfhPfwTuCGcPkG4E/Jfr9p+Pwleg9/BHQAZgK5cY5vW/R1lVFcxX4vwm3dw3JXAs3iHJ/S+waMBn5TBr/TMn/PgGHAfWX0O/0JUDNc/lOcz1xa49Mj8x6ZXpM8CvjY3T91993A34EzgKbAbnf/b7jfG8DgZCdz9wUECfVKADPLMbPnzOz98HFMuL6+mT0a1rQWmVmx53b32cA3xWxqD8xOMbZPgV8DV4cxHBT+R/5eWJs7I1yfZWZjwhr0IjO7Ks751rj7/HB5C7AUOCxT4os5b7z38AzgsXD5MeDMROcxs6PC2vEHZvaumXUI1w8zs+fNbGpYK70z2WuNiS3ue+juS919edRzhTWQtyy4+jHfzPqG6/ub2UwzezasxUwyM0tyunjfC9z9A3dfGTWuIjEW+30IFVx9WGFmwxOdJ97vNNX3rEhsxX7eQq3D93CFmd2aJLZEv9PX3T0/3PXfQKvyjk8yT4XMJ5mCwwhqjAW+Ao4mGHapppnluvtc4BygdcRzzgdGhct/Aca6+9tm1oZgIugfATcDm9y9C4AVc6kviY8I/mi9AJybYmxHhMu/A95090vCyz7vhZfFLiT4b7abBxNYN0l2UjNrS1DD+E8mxhfHIe6+JlxeCxySZP9lQL+wzJOA/+O75N+N4PXvApab2V/d/cs45ylWMe9hqtYBJ7v7TjP7IfA0UHDJsTvQCVgNvAMcA7yd4Fzxvhep6GdmC8LlZ9z9j8T/PgAcCfQGDgI+MLNX3X11imVG9f2Y2N5x918R//MGwT8NnYHtwPthbHOTFZLkd3oJMLki45PMkOlJslju7mY2BBhrZnWA14G9EQ+P/S/9JKBjzD/uDc2sfrh+SEx536YY4iXAvWZ2M/ASsLsEsf0EON2+uxeUDbQJY3uo4D9edy+uFvbdCYPX8xww0t03Z1p8UYS/72R9lRoBj4UJyIFaMdumu/smADNbAnyP/ZNMQnHew1TVAu4zs24En9X2Mdvec/evwrIWEPyTkShJloW33L3o/fl43weAF919B7DDzGYQ/OF/IU2xfeLu3Yqsi/d5A3jD3TcAmNnzwI+BhEko0e/UzH4H5AOTKio+yRyZniRXsX8tp1W4DnefA/QDMLOfsP8fnUS6E1xigeDeZm933xm7Q/KrXYm5+zKCLw1m1h4YWILYDBhc9PJUKrGZWS2CPwST3P35TIsvia/NrKW7rzGzlgQ1sURuA2a4+1lhDWFmzLZdMct7SeFzH+89LIH/Bb4GuhJ87mI/c6nGF/d7UUqJvg9F/0kp7w7W8T5vRxcTS8LYEv1OLWicNoig3UIqr7HM4pPMkun3JN8Hfmhmh1vQgmwIQc0HM2se/qwDXA88lOxkZnYkwaXU+8NVrwNXxWwv+O/wDeBXMetTutwaE1sN4KaIsbUFxgB/DVf9C7iq4P6UmXWPie1SC1vzxrucGR43Hljq7vdkWnwRvARcFC5fBLyYZP9GfJcohpWwzP0keg9LoBGwxt33ARcQNL4pqbjfi1KK930AOMPMss2sKUHDn/fLoLxUxPu8AZxsQWvougT3rt+Jd5Ik34sBwHXA6e6+vSLik8yT0UkyvGR3JcEHcCnwD3f/KNw8ysyWAouAl939zTin6RfeSF9OkByvdvfp4bargVwLGpgsAS4L198OHGxB45OFwPHFndjMngbmAB3M7Csz+2W4aaiZ/ZfgPtlq4NE4sX0/jG0p8A/gXncv2Pc2gkt0i8zso/A5wCPAF+H6hcAv4pz7GII/xifYd03Vf5pB8QEJ38M7CP64rCC4DHhHMYfX5Lta2J3A/zOzDyi7KyRx30MzO8vMvgL6AK+a2b+SxPcAcFH4nhwBbCtpUIm+F2Z2dRhXK4LfwSMpnDre9wGC79kMggYttyW6HxnvdxrxPYsn3ucN4D2CmuEi4Lkk9/sSfS/uI2jx+ka4Puk/j2mITzKMhqWTSsuCPm6Huft1FR1LcSxo4Xieu/+somMRkZLJ9HuSIsUys/EELQYzMgGZ2R8IWhAPq+BQRKQUVJMUERGJI6PvSYqIiFQkJUkREZE4lCRFRETiUJKUjGZme8Pm+B+Z2UIzuzbs35nomLZmlrDrSXkzs3dLcewwMzs0xWPSNgOJSHWiJCmZboe7d3P3TsDJwKlAskGi25Kkf2Z5c/e+pTh8GJBSkhSRsqEkKZWGu68DRgBXWqDYmTUIBh7oF9ZA/9eCmUnusmBmi0VmdmnRc5vZHWYWO8rSaDP7jQUzwkwPz/+hxczuYGYXhudbaGZPhOsOsWAuwoXho2C2j63hz7izfpjZLWGMi81sXPgazyEYCH1S+HrqmllPM5tlZvPM7F8WDNtHuH5hOGBB4WsRkVIoy3m39NCjrB/A1mLWbSSYFaQekB2u+yEwN1zuz/7ziI4AbgqX6xAMLn14kXN2B2bFPF9CMD5qTaBhuK4Z8DHBOJ2dCOYibBZuaxL+nEwwaDYEQ881in0dYWybCEbEqUEwMs2PY88RLj8BnBYuzyScf5FgVJd3gZzw+c+BCeHyIuDYcPku0jCXpR56VLeHBhOQyizRzBqxfgIcGdbKIBhH9YfAZwU7uPsHZtY8vPeXA3zr7l9aMBj2/5nZscA+gmmqDgFOIJhian14fMFsJycQTBeGu+8lSIhFxZv143gzu44g+TchmNLs5SLHdiAYROGNsAKaBayxYHqmxh7M5QhBkj01zvshIhEpSUqlYmbtCBLiOoJ7k/Fm1tjvMOAqd082VugzBHOTtuC7uQTPI0iaPd19j5mtJJgGqTQOmPXDzLIJxnfNDZPz6DjlGPCRu/fZb2WQJEWkjOmepFQaZpZDMGPJfe7uxJ9ZYwvBQNUF/gVcHtYKMbP2ZnZQMUVMJphR4xyChElYxrowQR5PMBclwJvAuRbMihE728l04PJwXZaZNYr48goS4noL5jo8J2Zb7OtZDuSYWZ+wjFpm1sndNwIbzezH4X7nRSxXRBJQkpRMV7egCwgwjWA6p9+H2+LNrLEI2Bs2YvlfgplJlgDzw24Rf6OYqygezKTRAFjl7mvC1ZMIZsb4kOAy6rKYff8IzArLL5h26RqCy6YfAvOAjlFeZJjkHgYWEyT12KmoJgIPhZdmswgS6J/CchcABQ2WLgbuD/crs4k9Raozjd0qIiISh2qSIiIicShJioiIxKEkKSIiEoeSpIiISBxKkiIiInEoSYqIiMShJCkiIhLH/wcplM+Z/M0OuwAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7595,7 +8564,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## COVID vaccination rollout among **60-64** population up to 05 Mar 2021"
+       " ## COVID vaccination rollout among **60-64** population up to 30 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7618,7 +8587,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7642,7 +8611,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7666,7 +8635,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7690,7 +8659,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7714,7 +8683,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7738,7 +8707,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7762,7 +8731,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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NfAlcHDWGqhoxYgTz588nPz+fhx9+mM6dOwNw4IEHMmDAALp168a4ceM48cQT+cEPfkC/fv3Iz89n2LBhbNmyhSVLltC3b18KCgq4/vrrufrqqwEYM2YMJ598cpmOO40bN+aBBx7gnHPOIT8/n3r16nHppZcCQY1s6NChvPjii6Wddlq1asWDDz7I8OHD6d69O/369WPFihUJy/KHP/yBo446igEDBpSWI6pHHnmEW2+9le7du9O/f3/WrVvHmWeeSffu3enRowfHHXccN954I61bt056jFRl29uoUaO49NJLE3bc2duECRM455xz6N27Ny1btixdftpppzFt2rTSjju33nor8+fPp3v37nTp0oW77rqrQv8GIiJRmEcYbc7M5gKDgXuBdQQDnI9y9x7l7NeWYLaQPwFXAqcBRUBrd99tZv2ACe6e8oZaYWGhz58/P0JxRCShB4YEPy98PrNxSI0yswXuXpjpOLJZ1LFbLyC4D/kz4BdAO+DsCPv9Dfg10Cz8fCCw0d1jN7U+Bdok2tHMxgBjIKjpPfjgg3us79q1K3369Ena3FhQUEBBQQHbtm3j8ccfL7O+sLCQbt26sWnTJqZNm1Zmfb9+/ejUqROfffYZzz33XJn13/ve9zjiiCNYt24d06dPL7P++OOPp127dnzyySfMmjWrzPqTTz6Z1q1b8+GHHzJ37twy64cOHUrLli1ZuXIlb75Zdkz5M888k+bNm7N06VISfYE499xzadq0KYsWLUrYFDlixAgaNmzIvHnzWLZsWZn1o0aNAuCNN94o0+TboEEDfvjDYDrROXPm8NFHH+2xvkmTJqWdcWbOnMmnn366x/q8vDzOOussAKZPn866dev2WH/ggQdy2mmnAfDss8/y+eef77G+devWnHxy0JDx5JNPsnnz5j3Wt23blsGDBwMwefLkMrXXDh06lDYN/+Mf/yhzj7Vjx470798foMx1B1l67b0W/h/Yg7r26vC1JxUXKUmGvVwBtgPXR9nHzIYCG9x9gZkdU9HA3P1u4G6ADh06aHB1EakT/u/f/+XpRav56I33OfSAJny/IGE9QmpIyuZWM1sCJN3A3bun2Pd/CWqgu4HGQB4wDTgJNbeK1Cw1t9ZqscQI8O+PgnFajurQgi6H5nHdaV0rfVw1t1ZdeTXJSg/a6e6/AX4DENYkf+XuI8xsCjAMeIxguLunK3sOEZFc8PSi1Sxfu5kuh+RxVIcWnFHQhh8cdVimwxLKSZJxzazVaTzwmJn9EXgbuC8N5xARqdXia4+xBDn5kpwYtyWnRB1MYAvfNLs2AhpSgcEE3H02MDt8/yGQ/AE8EZEclbRZ9ZA8ztC9x1opasedWO9UzMyAM4Cj0xWUiEguUrNq9on6CEipcNDcp8zsOuCq6g9JRCT7xdcaY9Ssmn2iNreeFfexHlAIlB30VEREgD1rjTFqVs0+UWuSp8W93w2sImhyFRGp0xLVGEG1xlwR9Z7khekOREQkm8SSY3wHnHiqNeaGqM2tHYDLgfbx+7j76ekJS0Sk9knWO1UdcHJX1ObWpwieZ3wWKElfOCIitZd6p9Y9UZPk1+5+a1ojERGphfTQf90WNUneEj7yMQPYEVvo7gvTEpWISIYluueo+4x1T9QkmU8wWPlxfNPc6uFnEZGcoHuOsreoSfIc4Ah335nOYEREalqyxKjkKBA9SS4F9gc2pDEWEZEap844kkrUJLk/sMLM5rHnPUk9AiIiWUedcSSqqEnyurRGISJSA9QZRyoq6og7c9IdiIhIusWaVtWsKlHVyHySIiI1SeOpSnXRfJIiknMSzcABGk9VKk7zSYpITlBnHEkHzScpIllNnXEknTSfpIhkHY2MIzVF80mKSFbQyDiSCVGbWx8CrnD3jeHnA4C/uPtF6QxOROo2JUbJtKjNrd1jCRLA3b80s55piklE6rhE9xmVGCUToibJemZ2gLt/CWBmLSqwr4hIuXSfUWqjqInuL8CbZjYl/HwO8Kf0hCQidZEGGpfaKGrHnYfNbD7fzB95lrsvT19YIlIX6NlGqe1SJkkz28/dtwKESbFMYozfRkSkPMmaVfVso9RG5dUknzazRcDTwAJ3/wrAzI4AjgXOBe4BpqY1ShHJeuqMI9koZZJ09+PN7FTgEmBA2GFnF7ASeB4Y6e7r0h+miGQjdcaRbFfuPUl3fwF4oaIHNrPGwFxgn/A8U939OjPrADwGHAgsAC5w950VPb6I1H7qjCPZLp2PcewAjnP3rWbWEHjNzF4ErgQmuvtjZnYXcDHw/9IYh4jUIHXGkVxSL10H9kCsQ0/D8OUEPWRj9zAfAr6frhhEpObFao+gqakk+6V1QAAzq0/QpPpt4A7gA2Cju+8ON/kUSPgbZGZjgDEAhx2m5hmR2ky1R8lVKWuSZtYi1au8g7t7sbsXAG2BvkDnqIG5+93uXujuha1atYq6m4hkgGqPkqvKq0kuIGgiNeAw4Mvw/f7Af4EOUU7i7hvN7BWgH7C/mTUIa5NtgdWVjF1EMixWg1TtUXJVeY+AdAAws3uAaWFPV8zsFMq5l2hmrYBdYYJsApwA/Bl4BRhG0MN1JMEzmCKSJVI91iGSa6Lekzza3UfHPrj7i2Z2Yzn7HAI8FN6XrAc87u7Pmdly4DEz+yPwNnBfZQIXkZqjKaukroqaJNeY2dXAP8LPI4A1qXZw98VAmem03P1DgvuTIpIl9Lyj1FVRk+Rw4DpgGsE9yrnhMhHJUeqxKhJ9FpAvgCvMbN/Y+K0iktvia4/qsSp1VaQkaWb9gXuB/YDDzKwHcIm7/ySdwYlIzVOPVZFvRG1unQicBDwD4O7vmNn30haViNQo9VgVSSzyiDvu/omZxS8qrv5wRKSmqMeqSPmiJslPwiZXDwcrvwJ4N31hiUg6KDGKVEzUJHkpcAvBOKurgRmA7keK1GLxCfHazzcB8NuVSwAlRpGooibJTu4+In6BmQ0AXq/+kESkspLVFGOUGEUqJmqSvA3oFWGZiGRQ0of+H2gOwOQL1VNVpCJSJkkz6wf0B1qZ2ZVxq/KA+ukMTESi02MbIulRXk2yEcGzkQ2AZnHLNxMMUi4iNSi+OTWeHtsQSY/yZgGZA8wxswfd/eMaiklE4pR3nzH2WfcaRapf1HuS28zsJqAr0Di20N2PS0tUUjnzH4AlUzMdhVSzHms3ceTOYpo2qg950HK/fTi4UeOyGy4PX4msWwKt89MZpkhOipokJwGTgaEEj4OMBIrSFZRU0pKp+mOYQ9Zv+ZrPtu5gW5ggux7SvPIHa50P+bpDIlJRUZPkge5+n5ldEdcEOy+dgUkltc6HC5/PdBRSDX7+9zdZ/sXm0sHFu6opVaTGRU2Su8Kfa81sCMFcki1SbC8ilaDpqURql6hJ8o9m1hz4JcHzkXnAL9IWlUgdpempRGqXqPNJPhe+3QQcm75wROoe1R5Faq+o80m2AkYD7eP3cfeL0hOWSN2h2qNI7RW1ufVp4FVgJpoiS6TKVHsUyQ5Rk2RTdx+f1khE6oBYcowfFEC1R5HaK2qSfM7MTnX3F9IajUiOizWtaoQckewQNUleAfzWzHYQPA5igLt7XtoiE8kRaloVyV5Re7c2K38rkbotyuDjaloVyS7lTZXV2d1XmFnCeSPdfWF6whLJHonuM8ZT06pI9iqvJnklMAb4S4J1DmiAc6nzdJ9RJHeVN1XWmPCnBhAQiaP7jCJ1Q9TBBH4KTHL3jeHnA4Dh7n5nOoMTqU2Szeuo+4wiuStq79bR7n5H7IO7f2lmowElSakz4kfGUdOqSN0QNUnWNzNzdwcws/pAo1Q7mFk74GHgYIL7l3e7+y1m1oJgbsr2wCrgXHf/snLhi6SXmlVF6raoSXI6MNnM/h5+viRclspu4JfuvtDMmgELzOxlYBQwy91vMLOrgKsAjeYjtYpGxhERiJ4kxxP0cr0s/PwycG+qHdx9LbA2fL/FzN4F2gBnAMeEmz0EzEZJUmqBZPcc1awqUndFTZJNgHvc/S4obW7dB9gWZWczaw/0BP4NHBwmUIB1BM2xifYZQ5CYOeww/YGS9EiWGJUcRQSiJ8lZwGBga/i5CTAD6F/ejma2H/AEMNbdN5tZ6Tp3dzPzRPu5+93A3QCFhYUJtxGpKnXGEZFUoibJxu4eS5C4+1Yza1reTmbWkCBBTnL3J8PF683sEHdfa2aHABsqHLVINVJnHBFJJmqS/MrMesWGoTOz3sD2VDtYUGW8D3jX3f8at+oZYCRwQ/jz6QpHLVIFiXqsiogkEjVJjgWmmNkaghlAWgPnlbPPAOACYImZLQqX/ZYgOT5uZhcDHwPnVjhqkSqIb2JVj1URSSXqLCDzzKwz0ClctNLdd5Wzz2sECTWR46OHKFJ5iWbm0POOIhJVvQps2wnoAvQChpvZj9ITkkj1idUa46n2KCJRRR279TqCZxu7AC8ApwCvEYyoI5JxyeZyVK1RRKoiak1yGEET6Tp3vxDoATRPW1QiFZSoxgiqNYpI1UTtuLPd3UvMbLeZ5RE8ttEujXGJRBKrQarGKCLpEDVJzjez/YF7gAUEgwq8mbaoRCKKT5CqMYpIdYvau/Un4du7zGw6kOfui9MXlkhymplDRGpK1I47zwCPAU+7+6q0RiSSgCY8FpFMiNrc+heCwQP+18zmESTM59z967RFJnWeBh8XkUyL2tw6B5gTzv5xHDAauB/QeF5S7RLN5ajEKCKZELUmiZk1AU4jqFH2IpgLUqTaxTrjKDGKSKZFvSf5ONAXmA7cDsxx95J0BiZ1izrjiEhtFLUmeR8w3N2L0xmM1F0adFxEaqOo9yRfSncgUveo9igitV3ke5Ii1UGPcohINlGSlBqhHqsiko2idtyZ5e7Hl7dMJBn1WBWRbJQySZpZY6Ap0NLMDuCbSZTzALWNSYXonqOIZJvyapKXAGOBQwkGNo8lyc0Ej4KIJJWoY46ISDZJmSTd/RbgFjO73N1vq6GYJIupY46I5JKoj4DcZmb9gfbx+7j7w2mKS7KMOuaISC6K2nHnEeBbwCIgNqCAA0qSAqhjjojkpqiPgBQCXdzd0xmMZBcNBiAiuS5qklwKtAbWpjEWyQK65ygidUnUJNkSWG5mbwE7Ygvd/fS0RCW1VvwYq2paFZFcFzVJTkhnEFK7qVlVROqqyJMum9nhwJHuPtPMmgL10xuaZFqiHqtqVhWRuiRq79bRwBigBUEv1zbAXYCGpcsxye45qllVROqiqM2tPyWYdPnfAO7+npkdlLaopEYlS4xKjiJS10VNkjvcfadZMCqdmTUgeE4yKTO7HxgKbHD3buGyFsBkgkEJVgHnuvuXlYpcqo0644iIJBY1Sc4xs98CTczsBOAnwLPl7PMgwfiu8QMOXAXMcvcbzOyq8PP4ioUs1UGdcUREyhc1SV4FXAwsIRj0/AXg3lQ7uPtcM2u/1+IzgGPC9w8Bs1GSrFHqjCMiEl3UJNkEuN/d7wEws/rhsm0VPN/B7h4bkGAdcHAF95cq0vBxIiLRRU2Ss4DBwNbwcxNgBtC/sid2dzezpPc1zWwMQY9aDjtMf8grKr45NZ6aVkVEoqsXcbvG7h5LkITvm1bifOvN7BCA8OeGZBu6+93uXujuha1atarEqeq2WI1xb2paFRGJLmpN8isz6+XuCwHMrDewvRLnewYYCdwQ/ny6EseQJNZv+ZrPtu7g939/UzVGEZFqEDVJXgFMMbM1gBEMdn5eqh3M7FGCTjotzexT4DqC5Pi4mV0MfAycW8m4JU6safUXn31Vukw1RhGRqis3SZpZPaAR0BnoFC5e6e67Uu3n7sOTrNIoPdUg0QAAzfIa0HK/fVR7FBGpJuUmSXcvMbM73L0nwZRZUgskGgCg6/LmmQ5LRCSnRO7damZnA09q4uXMKXcAgOUZCkxEJEdFTZKXAFcCxWa2neC+pLt7XtoiE0CTHIuIZFLUqbKapTsQSUzjqoqIZE7UqbIMGAF0cPc/mFk74BB3fyut0dVhsRqkHuUQEcmcqM2tdwIlwHHAHwhG3rkD6JOmuOqkVHM5iohIzYuaJI9y915m9jaAu39pZo3SGFedpKZVEZHaJWqS3BUOau4AZtaKoGYpVaQpq0REaq+oSfJWYDZeqc8AAA2nSURBVBpwkJn9CRgGXJ22qHKceqyKiGSHqL1bJ5nZAoLRcgz4vru/m9bIclCiuRzVrCoiUnulTJJm1hi4FPg2wYTLf3f33TURWC7SXI4iItmlvJrkQ8Au4FXgFOA7wNh0B5VLdM9RRCR7lZcku7h7PoCZ3QfoucgIdM9RRCQ3lJckS2f6cPfdwZgCUh49yiEikhvKS5I9zCw2vb0BTcLPGrt1L2pWFRHJPSmTpLvXr6lAslWiHqtqVhURyQ1Rn5OUOKmGj1OzqohI7lCSrATdcxQRqRuUJCPSPUcRkbqnXqYDyBax2iOge44iInWEapIpqPYoIlK3qSaZgmqPIiJ1m2qSCcRqkKo9iojUbUqSoVSPdYiISN1Up5NkssSoxzpERATqeJLU844iIpJKnUySuucoIiJR1JkkqXuOIiJSUXUmSappVUREKiojSdLMTgZuAeoD97r7Dek4z/XPLmP5muA5RzWtiohIRdX4YAJmVh+4AzgF6AIMN7Mu6T6vBgMQEZGKykRNsi/wvrt/CGBmjwFnAMur+0TXNXgEGi35ZsHydJylFlm3BFrnZzoKEZGckYlh6doAn8R9/jRctgczG2Nm881sflFRUY0Fl9Va50P+sExHISKSM2ptxx13vxu4G6CwsNArdZBT0nKrU0RE6ohM1CRXA+3iPrcNl4mIiNQqmUiS84AjzayDmTUCzgeeyUAcIiIiKdV4c6u77zaznwEvETwCcr+7L6vpOERERMqTkXuS7v4C8EImzi0iIhKVJl0WERFJQklSREQkCSVJERGRJJQkRUREkjD3yj2nX5PMrAj4uJK7twQ+q8ZwahOVLTvlatlytVyQvWU73N1bZTqIbJYVSbIqzGy+uxdmOo50UNmyU66WLVfLBbldNklNza0iIiJJKEmKiIgkUReS5N2ZDiCNVLbslKtly9VyQW6XTVLI+XuSIiIilVUXapIiIiKVoiQpIiKSRK1OkmZ2spmtNLP3zeyquOXHmdlCM1tqZg+ZWZmB2s3sGDPbZGZvh8eYa2ZDa7YEiZlZOzN7xcyWm9kyM7sibl0PM3vTzJaY2bNmlpdg//Zmtj0s27tm9paZjarRQkRgZveb2QYzW7rX8gIz+5eZLTKz+WbWN8G+x5jZczUXbXQprstXwzItMrM1ZvZUgn1j12Vsu5nlnGuCmf0qHeXY6zyprsnJcfGuMrNFCfaPXZOL4l6NUpxvlJndnq7yJDhfsmsx6u+bm9kf45a1NLNdNVkGyRB3r5Uvgmm0PgCOABoB7wBdCBL7J0DHcLvfAxcn2P8Y4Lm4zwXAKuD4WlC2Q4Be4ftmwH+ALuHnecCg8P1FwB8S7N8eWBr3+QhgEXBhpsu2V5zfA3rFxxounwGcEr4/FZhd3v9fbXkluy4TbPcE8KOqlguYAPyqBsqV9Jrca7u/ANcmWL7HNRnhfKOA22vw/y3ZtRj19+1D4O24ZZeFv3ORywA0qKny6lV9r9pck+wLvO/uH7r7TuAx4AzgQGCnu/8n3O5l4OzyDubuiwgS6s8AzKyVmT1hZvPC14Bw+X5m9kD4zXKxmZV77Ipy97XuvjB8vwV4F2gTru4IzA3fRy3bh8CVwM/DMuwbfnN+K6xtnhEur29mN4c18MVmdnn1lqxMXHOBLxKtAmLf2JsDa1Idx8z6ht/23zazN8ysU7h8lJk9aWbTzew9M7uxWguQWLLrMj7ePOA4oExNMplk12MoVtt5z8xGV0ch9lbONRmL0YBzgUejHjfZtRhqZ2azw3JdVw3FSCrFtRj1920b8K6ZxQYUOA94PLbSzE4zs3+HZZxpZgeHyyeY2SNm9jrwSHWURWpWRuaTjKgNQY0x5lPgKIKhoRqYWaG7zweGAe0iHnMhMC58fwsw0d1fM7PDCCaB/g5wDbDJ3fMBzOyAKpckBTNrD/QE/h0uWkbwR/cp4BwqVrbO4fvfAf9094vMbH/grbBZ70cE34oLPJj8ukV1lKESxgIvmdnNBC0D/cvZfgUwMIx5MPA/fPPHrIDg328HsNLMbnP3T5Icpzokuy7jfR+Y5e6bkxxjYFyT5RR3/xPJr0eA7sDRwL7A22b2vLun/GJRFQmuydK4gfXu/l6SXb8VV67X3f2nJL8WIfjC0Y0gAc0LyzW/GosSRUV+3x4Dzjez9UAxwZe7Q8N1rwFHu7ub2Y+BXwO/DNd1Ab7r7tvTEL+kWW1OkgmFF+H5wEQz24eg6a444u4W934w0CX4cgxAnpntFy4/P+58X1Y96iTBBOd7Ahgb9wf1IuBWM7sGeAbYGfVwce9PBE6Pu5fVGDiMoGx3uftuAHdP9M26JlwG/MLdnzCzc4H7wtiSaQ48ZGZHEtRCG8atm+XumwDMbDlwOHsmsUwYDtybYv2r7r73/fFk1yPA0+Ef2O1m9gpBcolcS62IJNdkzHBS1yI/cPeCvZYluxYBXnb3z8PzPgl8F6jpJFmR37fpwB+A9cDkvda1BSab2SEEzfAfxa17Rgkye9XmJLmaPb/VtQ2X4e5vEnyrxcxOJGgyiaInQTMSBDWYo9396/gN4v5IpZWZNST4YzTJ3Z+MLXf3FQR/WDCzjsCQiIeML5sBZ7v7yr3OWdWwq8tIINYxZAqpEwoEf5hecfczw1rO7Lh1O+LeF5P+azrpdQlBhw6CJHZmBY+b6nrc+2HmtDzcnOyaDNc1AM4Celf0sCS+Fo+ihsqVSkV+39x9p5ktIKghdgFOj1t9G/BXd3/GzI4huJcc81U1hy01qDbfk5wHHGlmHSzoJXc+wTc9zOyg8Oc+wHjgrvIOZmbdCZpS7wgXzQAuj1sf+wb8MvDTuOXV3twa3tu5D3jX3f+617pY2eoBVxOtbO2Bmwl+USFoqrs8PA9m1jNc/jJwSfgHjww2t64BBoXvjwOSNd/FNOebRDQqTTFFlfS6DA0j6JjzdcK9k0t2PQKcYWaNzexAgo4/8yoVeQqprsnQYGCFu39awUMnuxYBTjCzFmbWhKCJ+vVKhF4llfh9+wswPkErTPw1OrJag5SMqrVJMmwS/BnBL9m7wOPuvixcPc7M3gUWA8+6+z+THGZgeCN9JUFy/Lm7zwrX/RwotKADy3Lg0nD5H4EDLOjc8g5wbPWXjgHABcBx9k13+VPDdcPN7D8E9+HWAA8kOca3wrK9S9CB4FZ3j237B4ImycVmtiz8DEGN7b/h8neAH1R7yeKY2aPAm0AnM/vUzC4OV40G/hLG8D/AmAS7N+CbWuKNwP+a2dtkuPWjnOsSgqQZuWNLnGTXIwTX+SvAvwh6X6bjfmSqaxIqX65k1yLAWwQ118XAE+m8H5niWoz6+waAuy9z94cSrJoATAlrmtk4pZYkoWHppFay4Dm9Nu7+60zHIiJ1V22+Jyl1lJndR9Dr8dxMxyIidZtqkiIiIknU2nuSIiIimaYkKSIikoSSpIiISBJKklKrmVlx+DjCMjN7x8x+GT7Tlmqf9maW1sdbKsrM3qjCvqPM7NDyt9xjn/a214wXIlJxSpJS22139wJ37wqcAJwClDcYdnvS/AxoRbl7eePTpjKKb8YIFZEapCQpWcPdNxAMPPAzC7S3YA7HheErlohuIBxE3Mx+YcHsJzdZMLvGYjO7ZO9jm9kNZhY/0tIEM/uVBbPCzAqPv8TiZrEwsx+Fx3vHzB4Jlx1sZtPCZe/EYjKzreHPYyyY+WKqma0ws0lxo9FcG8a41MzuDss4DCgEJoXlaWJmvc1sjpktMLOXLBgvlHD5O+EgDaVlEZEqyPRcXXrpleoFbE2wbCNwMNAUaBwuOxKYH74/hj3nEh0DXB2+34dgEO0Oex2zJzAn7vNygjFaGwB54bKWwPsE45F2JZhzsWW4rkX4czLB4OAQzD3ZPL4cYWybCMZ8rUcwCsx3448Rvn8EOC18PxsoDN83BN4AWoWfzwPuD98vBr4Xvr+JCszvqJdeeiV+aTAByWYNgdvDcU6LST7Q/YlA97BWBsE4m0cSN1ODu79tZgeF9/5aAV+6+ycWDPr9P2b2PaCEYKqsgwnGnJ3i7p+F+8fG8jyOYEoy3L2YICHu7S0Px0C1YGqp9gRTLR1rZr8mSP4tCKZxenavfTsRDLTwclgBrQ+stWAaqv09mDcRgiR7SpJ/DxGJSElSsoqZHUGQEDcQ3JtcD/QgqJUlG1TcgMvd/aVyDj+FYIDy1nwzFdIIgqTZ2913mdkqgumeqqLMzCVm1hi4k6DG+ImZTUhyHgOWuXu/PRYGSVJEqpnuSUrWMLNWBLM03O7uTlAjXOvuJQSDc9cPN90CNIvb9SXgsrBWiJl1NLN9E5xiMsFA3sMIEibhOTaECfJYgvkqAf4JnGPBzBzxM6rMIpgvk/BeaPOIxYslxM8smNNxWNy6+PKsBFqZWb/wHA3NrKu7bwQ2mtl3w+1GRDyviKSgJCm1XZPYIyDATIIppa4P190JjAw7qnTmm3n7FgPFYSeWXxDMfrIcWBg+FvF3ErSieDCbRzNgtbuvDRdPIpidYwlBM+qKuG3/BMwJzx+bXuoKgmbTJcACgnkHyxUmuXuApQRJPX46rAeBu8Km2foECfTP4XkXAbEOSxcCd4Tb1ZrJQ0WymcZuFRERSUI1SRERkSSUJEVERJJQkhQREUlCSVJERCQJJUkREZEklCRFRESSUJIUERFJ4v8DpNZStoJEzuIAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7786,7 +8755,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7810,7 +8779,212 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "## \n",
+       " ## COVID vaccination rollout among **55-59** population up to 30 Mar 2021"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **sex**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **ethnicity 6 groups**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **imd categories**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **bmi**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **chronic cardiac disease**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **current copd**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **psychosis schiz bipolar**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **55-59** population by **ssri**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -7822,7 +8996,7 @@
     }
    ],
    "source": [
-    "plot_dem_charts(summ_stat_results, df_dict_cum,  formatted_latest_date, pop_subgroups=[\"80+\", \"70-79\", \"65-69\",\"shielding (aged 16-69)\", \"60-64\"], groups_dict=features_dict,\n",
+    "plot_dem_charts(summ_stat_results, df_dict_cum,  formatted_latest_date, pop_subgroups=[\"80+\", \"70-79\", \"65-69\",\"shielding (aged 16-69)\", \"60-64\",\"55-59\"], groups_dict=features_dict,\n",
     "                groups_to_exclude=[\"ethnicity_16_groups\", \"dmards\", \"chemo_or_radio\", \"lung_cancer\", \"cancer_excl_lung_and_haem\", \"haematological_cancer\"],\n",
     "                savepath=savepath, savepath_figure_csvs=savepath_figure_csvs, suffix=suffix)"
    ]
@@ -7836,13 +9010,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/markdown": [
-       "Total **80+** population with ethnicity recorded 1,813 (85.8%)"
+       "Total **80+** population with ethnicity recorded 1,813 (85.5%)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "Total **70-79** population with ethnicity recorded 3,017 (84.5%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7854,7 +9040,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **70-79** population with ethnicity recorded 2,961 (84.3%)"
+       "Total **care home** population with ethnicity recorded 1,155 (84.2%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7866,7 +9052,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **care home** population with ethnicity recorded 1,218 (86.1%)"
+       "Total **shielding (aged 16-69)** population with ethnicity recorded 343 (83.1%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7878,7 +9064,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **shielding (aged 16-69)** population with ethnicity recorded 357 (85.0%)"
+       "Total **65-69** population with ethnicity recorded 1,876 (85.6%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7890,7 +9076,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **65-69** population with ethnicity recorded 1,806 (84.0%)"
+       "Total **LD (aged 16-64)** population with ethnicity recorded 679 (86.6%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7902,7 +9088,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **LD (aged 16-64)** population with ethnicity recorded 665 (84.1%)"
+       "Total **60-64** population with ethnicity recorded 2,240 (85.1%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7914,7 +9100,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **60-64** population with ethnicity recorded 2,226 (86.4%)"
+       "Total **55-59** population with ethnicity recorded 2,681 (85.5%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -7926,7 +9112,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **vaccinated under 60s, not in other eligible groups shown** population with ethnicity recorded 31,458 (85.0%)"
+       "Total **vaccinated under 55s, not in other eligible groups shown** population with ethnicity recorded 28,700 (84.9%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination figures among each eligible group_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination figures among each eligible group_tpp.csv
index 490a591..0bb299b 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination figures among each eligible group_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination figures among each eligible group_tpp.csv	
@@ -1,113 +1,121 @@
-covid_vacc_date,total,"under 60s, not in other eligible groups shown",70-79,60-64,80+,65-69,shielding (aged 16-69),care home,LD (aged 16-64)
-01 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-02 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-03 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-06 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-08 Dec,2226.0,1225.0,35.0,161.0,546.0,56.0,203.0,0.0,0.0
-09 Dec,6706.0,3430.0,98.0,532.0,2016.0,168.0,455.0,7.0,0.0
-10 Dec,11634.0,5572.0,168.0,882.0,3941.0,280.0,763.0,21.0,7.0
-11 Dec,16576.0,7868.0,238.0,1218.0,5761.0,399.0,1057.0,28.0,7.0
-12 Dec,21077.0,10325.0,294.0,1484.0,7056.0,497.0,1372.0,35.0,14.0
-13 Dec,24591.0,12152.0,329.0,1722.0,8225.0,574.0,1540.0,35.0,14.0
-14 Dec,29666.0,14567.0,406.0,2016.0,10150.0,679.0,1792.0,42.0,14.0
-15 Dec,56196.0,18459.0,609.0,2506.0,31381.0,896.0,2240.0,91.0,14.0
-16 Dec,97944.0,23415.0,882.0,3129.0,66500.0,1120.0,2653.0,224.0,21.0
-17 Dec,137690.0,29267.0,1505.0,3976.0,97972.0,1407.0,3192.0,343.0,28.0
-18 Dec,165991.0,34902.0,2072.0,4746.0,118265.0,1729.0,3738.0,490.0,49.0
-19 Dec,197841.0,39648.0,2744.0,5467.0,143164.0,2037.0,4158.0,567.0,56.0
-20 Dec,228613.0,46151.0,3304.0,6384.0,165032.0,2387.0,4648.0,644.0,63.0
-21 Dec,252938.0,54439.0,3969.0,7511.0,178073.0,2800.0,5341.0,728.0,77.0
-22 Dec,287406.0,61873.0,4585.0,8491.0,202300.0,3206.0,6048.0,826.0,77.0
-23 Dec,317989.0,71456.0,5306.0,9793.0,219590.0,3710.0,6888.0,1155.0,91.0
-24 Dec,328657.0,76209.0,5642.0,10437.0,223433.0,3955.0,7294.0,1589.0,98.0
-25 Dec,328699.0,76244.0,5642.0,10437.0,223440.0,3955.0,7294.0,1589.0,98.0
-26 Dec,328993.0,76496.0,5649.0,10451.0,223440.0,3962.0,7308.0,1589.0,98.0
-27 Dec,331051.0,78029.0,5670.0,10626.0,223629.0,4025.0,7385.0,1589.0,98.0
-28 Dec,334768.0,80563.0,5768.0,10948.0,224098.0,4137.0,7567.0,1589.0,98.0
-29 Dec,352240.0,87269.0,6216.0,11732.0,232141.0,4466.0,8043.0,2261.0,112.0
-30 Dec,397439.0,102508.0,8344.0,13706.0,252147.0,5278.0,9429.0,5838.0,189.0
-31 Dec,435484.0,117397.0,10584.0,15547.0,266511.0,6097.0,10731.0,8344.0,273.0
-01 Jan,444017.0,121338.0,11151.0,16023.0,269143.0,6279.0,11032.0,8750.0,301.0
-02 Jan,453313.0,126287.0,11907.0,16520.0,271516.0,6461.0,11354.0,8953.0,315.0
-03 Jan,459991.0,130431.0,12054.0,16933.0,273042.0,6594.0,11571.0,9044.0,322.0
-04 Jan,470645.0,137795.0,12264.0,17731.0,274456.0,6874.0,12047.0,9149.0,329.0
-05 Jan,491428.0,151550.0,12719.0,19257.0,277599.0,7399.0,12957.0,9583.0,364.0
-06 Jan,525455.0,170023.0,15386.0,21539.0,285236.0,8239.0,14126.0,10493.0,413.0
-07 Jan,606487.0,196959.0,25025.0,25018.0,319893.0,9611.0,16016.0,13475.0,490.0
-08 Jan,701554.0,226016.0,37835.0,28623.0,361515.0,11172.0,18242.0,17521.0,630.0
-09 Jan,784903.0,251888.0,48468.0,31745.0,398986.0,12600.0,20328.0,20195.0,693.0
-10 Jan,827078.0,268450.0,53032.0,33425.0,415947.0,13321.0,21315.0,20867.0,721.0
-11 Jan,870884.0,292460.0,56630.0,35945.0,424340.0,14175.0,23065.0,23471.0,798.0
-12 Jan,943782.0,322259.0,64029.0,39046.0,449435.0,15379.0,25116.0,27559.0,959.0
-13 Jan,1042874.0,355019.0,80353.0,42651.0,488229.0,16919.0,27307.0,31234.0,1162.0
-14 Jan,1149799.0,390789.0,99078.0,46774.0,527723.0,18774.0,29883.0,35392.0,1386.0
-15 Jan,1278627.0,430892.0,121429.0,51485.0,577500.0,20909.0,33495.0,41209.0,1708.0
-16 Jan,1403682.0,465836.0,139748.0,55503.0,636692.0,22750.0,36379.0,44870.0,1904.0
-17 Jan,1468208.0,490448.0,147406.0,58219.0,661864.0,23912.0,38108.0,46270.0,1981.0
-18 Jan,1528590.0,519043.0,155652.0,61299.0,676025.0,25179.0,40089.0,49105.0,2198.0
-19 Jan,1649277.0,551334.0,190575.0,65051.0,717885.0,27020.0,43225.0,51716.0,2471.0
-20 Jan,1789214.0,587132.0,236740.0,69125.0,762566.0,29267.0,47537.0,54082.0,2765.0
-21 Jan,1934492.0,623882.0,289716.0,73388.0,801570.0,31927.0,53319.0,57526.0,3164.0
-22 Jan,2134426.0,665049.0,373618.0,78547.0,852614.0,35707.0,61551.0,63574.0,3766.0
-23 Jan,2333548.0,698614.0,479360.0,82754.0,894348.0,38962.0,70175.0,65184.0,4151.0
-24 Jan,2412256.0,718788.0,516425.0,85407.0,906318.0,40866.0,74347.0,65835.0,4270.0
-25 Jan,2489060.0,743113.0,547855.0,88130.0,918379.0,42707.0,78141.0,66311.0,4424.0
-26 Jan,2587984.0,771008.0,592137.0,91399.0,932911.0,45003.0,83909.0,66920.0,4697.0
-27 Jan,2684458.0,797223.0,637217.0,94570.0,944832.0,47719.0,90468.0,67417.0,5012.0
-28 Jan,2824136.0,824229.0,714938.0,97916.0,960022.0,51457.0,102263.0,67956.0,5355.0
-29 Jan,3011540.0,853342.0,834330.0,101990.0,975765.0,56014.0,115801.0,68600.0,5698.0
-30 Jan,3200708.0,877065.0,963795.0,105210.0,986958.0,59689.0,133245.0,68859.0,5887.0
-31 Jan,3313261.0,894964.0,1037708.0,107611.0,991319.0,63462.0,143269.0,68957.0,5971.0
-01 Feb,3416203.0,911659.0,1099140.0,109893.0,997052.0,69160.0,153888.0,69258.0,6153.0
-02 Feb,3534965.0,929852.0,1170456.0,112644.0,1003016.0,75075.0,167958.0,69552.0,6412.0
-03 Feb,3685794.0,949725.0,1262198.0,115794.0,1009071.0,83167.0,189021.0,70028.0,6790.0
-04 Feb,3849188.0,971530.0,1357461.0,119392.0,1015182.0,93443.0,214375.0,70532.0,7273.0
-05 Feb,4007199.0,992887.0,1446018.0,123011.0,1020957.0,104818.0,240674.0,71113.0,7721.0
-06 Feb,4208267.0,1012277.0,1561217.0,126553.0,1024877.0,121107.0,282667.0,71372.0,8197.0
-07 Feb,4309963.0,1023848.0,1618932.0,128744.0,1026711.0,130445.0,301462.0,71477.0,8344.0
-08 Feb,4406367.0,1035657.0,1667442.0,130767.0,1030029.0,142303.0,319746.0,71743.0,8680.0
-09 Feb,4539087.0,1050679.0,1726690.0,133847.0,1033851.0,169694.0,343021.0,72149.0,9156.0
-10 Feb,4681320.0,1068158.0,1771805.0,138887.0,1038541.0,214074.0,367220.0,72786.0,9849.0
-11 Feb,4849558.0,1090166.0,1814260.0,146524.0,1042818.0,277837.0,393841.0,73458.0,10654.0
-12 Feb,5025741.0,1117613.0,1849813.0,157346.0,1046941.0,351274.0,417081.0,74123.0,11550.0
-13 Feb,5206845.0,1146145.0,1880760.0,169582.0,1049510.0,435988.0,438025.0,74410.0,12425.0
-14 Feb,5283859.0,1163281.0,1889860.0,175161.0,1050469.0,473004.0,444934.0,74480.0,12670.0
-15 Feb,5365493.0,1182489.0,1897427.0,181188.0,1051981.0,513387.0,451073.0,74858.0,13090.0
-16 Feb,5494979.0,1220471.0,1903909.0,200368.0,1053423.0,566818.0,460663.0,75152.0,14175.0
-17 Feb,5673325.0,1284542.0,1909684.0,232743.0,1054963.0,626612.0,473186.0,75453.0,16142.0
-18 Feb,5833121.0,1348494.0,1914241.0,261695.0,1056370.0,673050.0,485296.0,75796.0,18179.0
-19 Feb,5962943.0,1402485.0,1917685.0,284081.0,1057588.0,709107.0,495950.0,76160.0,19887.0
-20 Feb,6087907.0,1457540.0,1920730.0,307034.0,1058274.0,740285.0,506429.0,76251.0,21364.0
-21 Feb,6135745.0,1479464.0,1921633.0,315021.0,1058519.0,752185.0,510832.0,76272.0,21819.0
-22 Feb,6196330.0,1505546.0,1923096.0,324023.0,1059072.0,768894.0,516768.0,76342.0,22589.0
-23 Feb,6313195.0,1564668.0,1925322.0,345695.0,1060087.0,787899.0,528787.0,76517.0,24220.0
-24 Feb,6474909.0,1643320.0,1928290.0,380296.0,1061158.0,813225.0,545034.0,76755.0,26831.0
-25 Feb,6650819.0,1728384.0,1931615.0,420336.0,1062334.0,836745.0,564487.0,76958.0,29960.0
-26 Feb,6836788.0,1818887.0,1934681.0,465745.0,1063468.0,859894.0,583982.0,77119.0,33012.0
-27 Feb,6982486.0,1892534.0,1936711.0,501837.0,1064049.0,875819.0,598927.0,77189.0,35420.0
-28 Feb,7048370.0,1921773.0,1937488.0,522550.0,1064217.0,884268.0,604737.0,77224.0,36113.0
-01 Mar,7104804.0,1945636.0,1938328.0,543214.0,1064609.0,889553.0,609294.0,77322.0,36848.0
-02 Mar,7170856.0,1972943.0,1939336.0,569128.0,1065204.0,895146.0,613998.0,77448.0,37653.0
-03 Mar,7270620.0,2021726.0,1940617.0,602875.0,1065939.0,901733.0,621005.0,77581.0,39144.0
-04 Mar,7405139.0,2085545.0,1942437.0,649866.0,1066758.0,911106.0,630161.0,77735.0,41531.0
-05 Mar,7549402.0,2159423.0,1944579.0,695996.0,1067640.0,920731.0,638827.0,77917.0,44289.0
-06 Mar,7700679.0,2240749.0,1946133.0,744002.0,1068151.0,929334.0,647717.0,77945.0,46648.0
-07 Mar,7752402.0,2264108.0,1946497.0,766969.0,1068263.0,931406.0,650167.0,77952.0,47040.0
-08 Mar,7814492.0,2290260.0,1947183.0,794934.0,1068550.0,934794.0,653051.0,78036.0,47684.0
-09 Mar,7883260.0,2325512.0,1947960.0,819749.0,1069194.0,937965.0,656264.0,78120.0,48496.0
-10 Mar,7962493.0,2371250.0,1948807.0,844865.0,1069803.0,940933.0,659330.0,78204.0,49301.0
-11 Mar,8041376.0,2418479.0,1949612.0,869162.0,1070251.0,943698.0,661808.0,78260.0,50106.0
-12 Mar,8172290.0,2505755.0,1950725.0,901635.0,1070783.0,947989.0,665595.0,78386.0,51422.0
-13 Mar,8372840.0,2651446.0,1951866.0,942942.0,1071161.0,953442.0,670327.0,78407.0,53249.0
-14 Mar,8466479.0,2718310.0,1952279.0,963914.0,1071294.0,956172.0,672301.0,78421.0,53788.0
-15 Mar,8599969.0,2820356.0,1952909.0,987287.0,1071574.0,959686.0,675087.0,78449.0,54621.0
-16 Mar,8755845.0,2948764.0,1953595.0,1007314.0,1071931.0,962640.0,677495.0,78568.0,55538.0
-17 Mar,8920814.0,3090353.0,1954274.0,1023932.0,1072288.0,965006.0,679938.0,78652.0,56371.0
-18 Mar,9117360.0,3263113.0,1955058.0,1040746.0,1072722.0,967596.0,682199.0,78750.0,57176.0
-19 Mar,9330699.0,3451728.0,1955779.0,1058813.0,1073093.0,969878.0,684593.0,78841.0,57974.0
-20 Mar,9625945.0,3719289.0,1956486.0,1078567.0,1073387.0,972916.0,687484.0,78876.0,58940.0
-21 Mar,9749712.0,3832381.0,1956773.0,1086680.0,1073499.0,973777.0,688513.0,78883.0,59206.0
-22 Mar,9860172.0,3932439.0,1957179.0,1093666.0,1073695.0,974848.0,689878.0,78925.0,59542.0
-23 Mar,9970457.0,4032945.0,1957648.0,1099630.0,1073961.0,975961.0,691376.0,78995.0,59941.0
-24 Mar,10077354.0,4129699.0,1958166.0,1105622.0,1074241.0,977074.0,693147.0,79065.0,60340.0
-25 Mar,10077354.0,4129699.0,1958166.0,1105622.0,1074241.0,977074.0,693147.0,79065.0,60340.0
+covid_vacc_date,total,"under 55s, not in other eligible groups shown",70-79,55-59,60-64,80+,65-69,shielding (aged 16-69),care home,LD (aged 16-64)
+01 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+02 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+03 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+04 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+06 Dec,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+08 Dec,2226.0,966.0,35.0,259.0,161.0,546.0,56.0,203.0,0.0,0.0
+09 Dec,6706.0,2723.0,98.0,707.0,532.0,2009.0,168.0,462.0,7.0,0.0
+10 Dec,11620.0,4480.0,168.0,1085.0,875.0,3934.0,280.0,770.0,21.0,7.0
+11 Dec,16555.0,6377.0,238.0,1484.0,1211.0,5747.0,399.0,1064.0,28.0,7.0
+12 Dec,21056.0,8421.0,294.0,1897.0,1477.0,7042.0,497.0,1379.0,35.0,14.0
+13 Dec,24584.0,9947.0,329.0,2198.0,1722.0,8211.0,574.0,1554.0,35.0,14.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by ethnicity 6 groups_tpp.csv
new file mode 100644
index 0000000..4b425a8
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by ethnicity 6 groups_tpp.csv	
@@ -0,0 +1,118 @@
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by imd categories_tpp.csv
new file mode 100644
index 0000000..3a6c29c
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by imd categories_tpp.csv	
@@ -0,0 +1,118 @@
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by psychosis schiz bipolar_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by psychosis schiz bipolar_tpp.csv
new file mode 100644
index 0000000..c642a52
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 55-59 population by psychosis schiz bipolar_tpp.csv	
@@ -0,0 +1,118 @@
+covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by ethnicity 6 groups_tpp.csv
index 73fc8b6..b9a84b0 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by ethnicity 6 groups_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by ethnicity 6 groups_tpp.csv	
@@ -1,109 +1,116 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-08,0.0,0.0,0.0,14.0,14.0,133.0,19502.0,7924.0,16065.0,52318.0,143948.0,1037750.0
-2020-12-09,0.0,7.0,7.0,21.0,49.0,441.0,19502.0,7924.0,16065.0,52318.0,143948.0,1037750.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by imd categories_tpp.csv
index 2b0b43b..2a7a1f0 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by imd categories_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by imd categories_tpp.csv	
@@ -1,109 +1,116 @@
 covid_vacc_date,1 Most deprived,2,3,4,5 Least deprived,Unknown,1 Most deprived_total,2_total,3_total,4_total,5 Least deprived_total,Unknown_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by psychosis schiz bipolar_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by psychosis schiz bipolar_tpp.csv
index eda1df5..77371ac 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by psychosis schiz bipolar_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by psychosis schiz bipolar_tpp.csv	
@@ -1,109 +1,116 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by LD_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by LD_tpp.csv
index ae4080e..d31f6ca 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by LD_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by LD_tpp.csv	
@@ -1,109 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by ethnicity 6 groups_tpp.csv
index 02bc4ac..efcb73a 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by ethnicity 6 groups_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by ethnicity 6 groups_tpp.csv	
@@ -1,109 +1,117 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by imd categories_tpp.csv
index 32a1379..2c9b728 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by imd categories_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by imd categories_tpp.csv	
@@ -1,109 +1,117 @@
 covid_vacc_date,1 Most deprived,2,3,4,5 Least deprived,Unknown,1 Most deprived_total,2_total,3_total,4_total,5 Least deprived_total,Unknown_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by psychosis schiz bipolar_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by psychosis schiz bipolar_tpp.csv
index 5092791..8c78f19 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by psychosis schiz bipolar_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 65-69 population by psychosis schiz bipolar_tpp.csv	
@@ -1,109 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by LD_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by LD_tpp.csv
index 62c34c2..e2c45e6 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by LD_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by LD_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by ethnicity 6 groups_tpp.csv
index b22d3a0..2206347 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by ethnicity 6 groups_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by ethnicity 6 groups_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
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-2020-12-09,0.0,0.0,0.0,0.0,7.0,77.0,14693.0,6412.0,15253.0,54943.0,148645.0,1828253.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by imd categories_tpp.csv
index a56b90e..c7d7102 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by imd categories_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by imd categories_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,1 Most deprived,2,3,4,5 Least deprived,Unknown,1 Most deprived_total,2_total,3_total,4_total,5 Least deprived_total,Unknown_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by psychosis schiz bipolar_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by psychosis schiz bipolar_tpp.csv
index b164e61..6e06fb5 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by psychosis schiz bipolar_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 70-79 population by psychosis schiz bipolar_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by LD_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by LD_tpp.csv
index 804ed5a..bd32f63 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by LD_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by LD_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
-2020-12-01,0.0,0.0,1127462.0,553.0
-2020-12-08,546.0,0.0,1127462.0,553.0
-2020-12-09,2016.0,0.0,1127462.0,553.0
-2020-12-10,3941.0,0.0,1127462.0,553.0
-2020-12-11,5761.0,0.0,1127462.0,553.0
-2020-12-12,7056.0,0.0,1127462.0,553.0
-2020-12-13,8225.0,0.0,1127462.0,553.0
-2020-12-14,10150.0,0.0,1127462.0,553.0
-2020-12-15,31381.0,0.0,1127462.0,553.0
-2020-12-16,66493.0,14.0,1127462.0,553.0
-2020-12-17,97958.0,21.0,1127462.0,553.0
-2020-12-18,118244.0,21.0,1127462.0,553.0
-2020-12-19,143136.0,28.0,1127462.0,553.0
-2020-12-20,164997.0,35.0,1127462.0,553.0
-2020-12-21,178031.0,42.0,1127462.0,553.0
-2020-12-22,202251.0,49.0,1127462.0,553.0
-2020-12-23,219541.0,49.0,1127462.0,553.0
-2020-12-24,223384.0,49.0,1127462.0,553.0
-2020-12-25,223391.0,49.0,1127462.0,553.0
-2020-12-26,223391.0,49.0,1127462.0,553.0
-2020-12-27,223580.0,49.0,1127462.0,553.0
-2020-12-28,224049.0,49.0,1127462.0,553.0
-2020-12-29,232085.0,56.0,1127462.0,553.0
-2020-12-30,252084.0,63.0,1127462.0,553.0
-2020-12-31,266434.0,70.0,1127462.0,553.0
-2021-01-01,269066.0,77.0,1127462.0,553.0
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-2021-01-22,852327.0,287.0,1127462.0,553.0
-2021-01-23,894040.0,308.0,1127462.0,553.0
-2021-01-24,906003.0,308.0,1127462.0,553.0
-2021-01-25,918057.0,322.0,1127462.0,553.0
-2021-01-26,932575.0,329.0,1127462.0,553.0
-2021-01-27,944489.0,343.0,1127462.0,553.0
-2021-01-28,959665.0,350.0,1127462.0,553.0
-2021-01-29,975394.0,364.0,1127462.0,553.0
-2021-01-30,986573.0,378.0,1127462.0,553.0
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-2021-02-08,1029588.0,434.0,1127462.0,553.0
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-2021-02-18,1055894.0,476.0,1127462.0,553.0
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-2021-02-20,1057791.0,483.0,1127462.0,553.0
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-2021-03-03,1065442.0,497.0,1127462.0,553.0
-2021-03-04,1066261.0,497.0,1127462.0,553.0
-2021-03-05,1067136.0,497.0,1127462.0,553.0
-2021-03-06,1067647.0,504.0,1127462.0,553.0
-2021-03-07,1067759.0,504.0,1127462.0,553.0
-2021-03-08,1068039.0,504.0,1127462.0,553.0
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-2021-03-10,1069299.0,504.0,1127462.0,553.0
-2021-03-11,1069740.0,504.0,1127462.0,553.0
-2021-03-12,1070272.0,504.0,1127462.0,553.0
-2021-03-13,1070650.0,504.0,1127462.0,553.0
-2021-03-14,1070783.0,504.0,1127462.0,553.0
-2021-03-15,1071063.0,504.0,1127462.0,553.0
-2021-03-16,1071420.0,504.0,1127462.0,553.0
-2021-03-17,1071777.0,511.0,1127462.0,553.0
-2021-03-18,1072211.0,511.0,1127462.0,553.0
-2021-03-19,1072582.0,511.0,1127462.0,553.0
-2021-03-20,1072876.0,511.0,1127462.0,553.0
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-2021-03-22,1073177.0,511.0,1127462.0,553.0
-2021-03-23,1073450.0,511.0,1127462.0,553.0
-2021-03-24,1073723.0,511.0,1127462.0,553.0
-2021-03-25,1073723.0,511.0,1127462.0,553.0
+2020-12-01,0.0,0.0,1125250.0,546.0
+2020-12-08,546.0,0.0,1125250.0,546.0
+2020-12-09,2009.0,0.0,1125250.0,546.0
+2020-12-10,3934.0,0.0,1125250.0,546.0
+2020-12-11,5747.0,0.0,1125250.0,546.0
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+2020-12-13,8211.0,0.0,1125250.0,546.0
+2020-12-14,10136.0,0.0,1125250.0,546.0
+2020-12-15,31346.0,0.0,1125250.0,546.0
+2020-12-16,66423.0,14.0,1125250.0,546.0
+2020-12-17,97846.0,21.0,1125250.0,546.0
+2020-12-18,118118.0,21.0,1125250.0,546.0
+2020-12-19,142982.0,28.0,1125250.0,546.0
+2020-12-20,164822.0,35.0,1125250.0,546.0
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+2020-12-23,219394.0,49.0,1125250.0,546.0
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+2020-12-25,223244.0,49.0,1125250.0,546.0
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+2020-12-27,223433.0,49.0,1125250.0,546.0
+2020-12-28,223902.0,49.0,1125250.0,546.0
+2020-12-29,231903.0,56.0,1125250.0,546.0
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+2021-04-01,1074962.0,511.0,1125250.0,546.0
diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by ethnicity 6 groups_tpp.csv
index 55377dc..0bd8750 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by ethnicity 6 groups_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by ethnicity 6 groups_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-01,0.0,0.0,0.0,0.0,0.0,0.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-08,0.0,0.0,0.0,0.0,14.0,525.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-09,0.0,0.0,21.0,21.0,70.0,1897.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-10,7.0,7.0,35.0,49.0,133.0,3703.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-11,14.0,14.0,42.0,70.0,189.0,5432.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-12,21.0,14.0,56.0,84.0,231.0,6650.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-13,21.0,14.0,63.0,105.0,266.0,7756.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-14,28.0,14.0,77.0,140.0,329.0,9562.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-15,126.0,56.0,154.0,497.0,1393.0,29162.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-16,308.0,119.0,287.0,1134.0,3185.0,61474.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-17,483.0,182.0,420.0,1715.0,4732.0,90454.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-18,588.0,224.0,511.0,2156.0,5614.0,109179.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-19,756.0,294.0,637.0,2940.0,6594.0,131943.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-20,854.0,336.0,728.0,3388.0,7616.0,152110.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-21,931.0,364.0,798.0,3675.0,8162.0,164136.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-22,1022.0,413.0,875.0,4018.0,9163.0,186816.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
-2020-12-23,1071.0,434.0,952.0,4200.0,9905.0,203028.0,11109.0,3262.0,6769.0,28595.0,65247.0,1013026.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by imd categories_tpp.csv
index fb50350..71d95d4 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by imd categories_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by imd categories_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,1 Most deprived,2,3,4,5 Least deprived,Unknown,1 Most deprived_total,2_total,3_total,4_total,5 Least deprived_total,Unknown_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by psychosis schiz bipolar_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by psychosis schiz bipolar_tpp.csv
index 31997a3..df250f6 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by psychosis schiz bipolar_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 80+ population by psychosis schiz bipolar_tpp.csv	
@@ -1,110 +1,117 @@
 covid_vacc_date,no,yes,no_total,yes_total
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-2020-12-08,546.0,0.0,1119300.0,8715.0
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-2020-12-10,3920.0,21.0,1119300.0,8715.0
-2020-12-11,5726.0,35.0,1119300.0,8715.0
-2020-12-12,7014.0,42.0,1119300.0,8715.0
-2020-12-13,8176.0,42.0,1119300.0,8715.0
-2020-12-14,10094.0,56.0,1119300.0,8715.0
-2020-12-15,31227.0,154.0,1119300.0,8715.0
-2020-12-16,66178.0,329.0,1119300.0,8715.0
-2020-12-17,97461.0,511.0,1119300.0,8715.0
-2020-12-18,117642.0,616.0,1119300.0,8715.0
-2020-12-19,142422.0,742.0,1119300.0,8715.0
-2020-12-20,164192.0,840.0,1119300.0,8715.0
-2020-12-21,177149.0,924.0,1119300.0,8715.0
-2020-12-22,201250.0,1050.0,1119300.0,8715.0
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-2020-12-25,222264.0,1176.0,1119300.0,8715.0
-2020-12-26,222271.0,1176.0,1119300.0,8715.0
-2020-12-27,222453.0,1176.0,1119300.0,8715.0
-2020-12-28,222922.0,1176.0,1119300.0,8715.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by LD_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by LD_tpp.csv
index b4c07c5..59bc4a9 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by LD_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by LD_tpp.csv	
@@ -1,111 +1,118 @@
 covid_vacc_date,no,yes,no_total,yes_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by ethnicity 6 groups_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by ethnicity 6 groups_tpp.csv
index b214605..eee86c1 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by ethnicity 6 groups_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by ethnicity 6 groups_tpp.csv	
@@ -1,111 +1,118 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by imd categories_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by imd categories_tpp.csv
index 4237161..de99c4a 100644
--- a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by imd categories_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by imd categories_tpp.csv	
@@ -1,111 +1,118 @@
 covid_vacc_date,1 Most deprived,2,3,4,5 Least deprived,Unknown,1 Most deprived_total,2_total,3_total,4_total,5 Least deprived_total,Unknown_total
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+2021-01-21,13139.0,11473.0,10871.0,9317.0,7448.0,1358.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-22,15260.0,13349.0,12530.0,10766.0,8414.0,1533.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-23,17199.0,15099.0,14259.0,12523.0,9688.0,1743.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-24,17927.0,15869.0,15246.0,13342.0,10423.0,1876.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-25,18879.0,16765.0,15981.0,14042.0,10878.0,1953.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-26,20188.0,18165.0,17248.0,15092.0,11522.0,2079.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-27,21609.0,19684.0,18564.0,16331.0,12432.0,2240.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-28,24360.0,22113.0,20825.0,18410.0,14483.0,2478.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-29,27321.0,25123.0,23842.0,20874.0,16324.0,2744.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-30,30611.0,28476.0,27342.0,24479.0,19593.0,3164.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-01-31,32690.0,30688.0,29589.0,26159.0,21203.0,3374.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-01,34685.0,32858.0,31899.0,28287.0,23044.0,3563.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-02,37653.0,36036.0,34951.0,30814.0,25123.0,3836.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-03,42028.0,40250.0,39424.0,34762.0,28742.0,4291.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-04,48020.0,45619.0,44674.0,39151.0,32529.0,4865.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-05,54215.0,51072.0,50190.0,43981.0,36281.0,5439.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-06,62258.0,59437.0,59066.0,52010.0,43967.0,6433.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-07,65989.0,63119.0,63224.0,55524.0,47194.0,6916.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-08,70245.0,67298.0,66836.0,58723.0,49854.0,7315.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-09,75656.0,72247.0,71603.0,62986.0,53326.0,7756.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-10,82019.0,77518.0,76363.0,67004.0,56665.0,8260.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-11,89649.0,83391.0,81368.0,71295.0,59920.0,8925.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-12,95732.0,88802.0,85967.0,74956.0,62881.0,9576.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-13,101381.0,93303.0,90272.0,78288.0,65660.0,10094.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-14,103187.0,94843.0,91714.0,79373.0,66584.0,10234.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-15,105294.0,96285.0,92834.0,80164.0,67186.0,10381.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-16,108479.0,98532.0,94675.0,81473.0,68061.0,10633.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-17,113015.0,101556.0,96908.0,83041.0,69055.0,10955.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-18,117138.0,104538.0,99127.0,84637.0,70070.0,11249.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-19,120659.0,107296.0,101115.0,85946.0,71001.0,11515.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-20,124040.0,109620.0,103075.0,87367.0,72170.0,11830.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-21,125643.0,110726.0,103901.0,87815.0,72513.0,11928.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-22,127869.0,112252.0,104930.0,88466.0,72919.0,12068.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-23,131915.0,115241.0,107058.0,90125.0,73934.0,12348.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-24,137480.0,119196.0,110054.0,92246.0,75285.0,12733.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-25,144256.0,123732.0,113687.0,94724.0,76958.0,13230.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-26,150857.0,128478.0,117292.0,97125.0,78715.0,13762.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-27,156261.0,131852.0,119833.0,98987.0,80171.0,14168.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-02-28,158410.0,133210.0,120918.0,99568.0,80654.0,14364.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-01,159866.0,134421.0,121828.0,100100.0,81004.0,14476.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-02,161476.0,135597.0,122675.0,100681.0,81410.0,14609.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-03,164115.0,137417.0,123802.0,101486.0,81942.0,14777.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-04,167412.0,139671.0,125440.0,102571.0,82726.0,14994.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-05,170667.0,141673.0,126994.0,103628.0,83405.0,15218.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-06,173950.0,143682.0,128506.0,104748.0,84259.0,15449.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-07,174944.0,144284.0,128905.0,104993.0,84427.0,15526.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-08,176057.0,145005.0,129367.0,105329.0,84623.0,15603.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-09,177268.0,145929.0,129920.0,105595.0,84826.0,15715.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-10,178451.0,146755.0,130445.0,105903.0,85050.0,15771.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-11,179417.0,147420.0,130837.0,106162.0,85225.0,15841.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-12,181020.0,148323.0,131453.0,106554.0,85477.0,15932.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-13,183015.0,149464.0,132181.0,107058.0,85792.0,16079.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-14,183708.0,150052.0,132510.0,107303.0,85932.0,16128.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-15,184807.0,150822.0,132951.0,107590.0,86135.0,16191.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-16,185864.0,151410.0,133308.0,107870.0,86296.0,16247.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-17,186977.0,152019.0,133665.0,108101.0,86478.0,16303.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-18,187873.0,152621.0,134043.0,108360.0,86646.0,16352.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-19,188818.0,153258.0,134463.0,108647.0,86821.0,16429.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-20,189973.0,153916.0,134988.0,108990.0,87080.0,16513.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-21,190358.0,154203.0,135170.0,109116.0,87192.0,16555.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-22,190918.0,154574.0,135394.0,109256.0,87290.0,16590.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-23,191562.0,154959.0,135646.0,109424.0,87402.0,16625.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-24,192353.0,155449.0,135933.0,109627.0,87521.0,16674.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-25,193074.0,155925.0,136227.0,109837.0,87647.0,16702.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-26,193921.0,156443.0,136605.0,110075.0,87773.0,16758.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-27,194824.0,156954.0,136962.0,110348.0,87997.0,16821.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-28,195230.0,157234.0,137130.0,110467.0,88074.0,16863.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-29,195720.0,157514.0,137291.0,110614.0,88158.0,16884.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-30,196140.0,157801.0,137480.0,110719.0,88221.0,16919.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-03-31,196616.0,158109.0,137718.0,110859.0,88298.0,16947.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
+2021-04-01,196616.0,158109.0,137718.0,110859.0,88298.0,16947.0,243915.0,186613.0,156422.0,122521.0,95186.0,19761.0
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 55-59 population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 55-59 population_tpp.csv
new file mode 100644
index 0000000..dbb44ed
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 55-59 population_tpp.csv	
@@ -0,0 +1,45 @@
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1280135,84.9,1508087,79.2,5.7
+Sex,F,646142,87.2,740901,82.2,5.0
+Sex,M,633990,82.6,767172,76.3,6.3
+Ethnicity (broad categories),Black,18207,59.0,30877,53.6,5.4
+Ethnicity (broad categories),Mixed,8456,69.3,12208,63.8,5.5
+Ethnicity (broad categories),Other,14448,65.8,21959,60.2,5.6
+Ethnicity (broad categories),South Asian,45752,76.6,59710,72.0,4.6
+Ethnicity (broad categories),Unknown,130613,75.4,173194,68.4,7.0
+Ethnicity (broad categories),White,1062656,87.8,1210132,82.2,5.6
+ethnicity 16 groups, African,7651,60.2,12719,55.0,5.2
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,2394,80.5,2975,76.2,4.3
+ethnicity 16 groups, Caribbean,6216,56.8,10948,51.5,5.3
+ethnicity 16 groups, Chinese,4298,70.3,6118,62.5,7.8
+ethnicity 16 groups, Other,10150,64.1,15834,59.3,4.8
+ethnicity 16 groups, Other Asian,11172,75.6,14784,70.5,5.1
+ethnicity 16 groups,British or Mixed British,996814,89.7,1111635,84.0,5.7
+ethnicity 16 groups,Indian or British Indian,23100,81.6,28294,77.5,4.1
+ethnicity 16 groups,Irish,6258,81.8,7651,77.5,4.3
+ethnicity 16 groups,Other Black,4326,60.1,7203,54.4,5.7
+ethnicity 16 groups,Other White,59591,65.6,90853,60.4,5.2
+ethnicity 16 groups,Other mixed,2996,69.3,4326,63.9,5.4
+ethnicity 16 groups,Pakistani or British Pakistani,9100,66.6,13664,61.5,5.1
+ethnicity 16 groups,Unknown,130599,75.4,173180,68.4,7.0
+ethnicity 16 groups,White + Asian,1743,77.3,2254,72.0,5.3
+ethnicity 16 groups,White + Black African,1519,65.4,2324,59.3,6.1
+ethnicity 16 groups,White + Black Caribbean,2198,66.4,3311,61.1,5.3
+Index of Multiple Deprivation (quintiles),1 Most deprived,188433,76.8,245350,70.8,6.0
+Index of Multiple Deprivation (quintiles),2,225589,81.8,275667,76.0,5.8
+Index of Multiple Deprivation (quintiles),3,277193,85.8,322945,80.2,5.6
+Index of Multiple Deprivation (quintiles),4,284410,87.7,324128,82.1,5.6
+Index of Multiple Deprivation (quintiles),5 Least deprived,279027,90.0,310079,84.4,5.6
+Index of Multiple Deprivation (quintiles),Unknown,25480,85.2,29897,79.7,5.5
+BMI,30+,312613,89.7,348656,85.1,4.6
+BMI,under 30,967519,83.4,1159424,77.4,6.0
+Chronic cardiac disease,no,1216138,84.7,1436246,78.8,5.9
+Chronic cardiac disease,yes,63987,89.1,71834,86.6,2.5
+Current COPD,no,1255919,84.8,1480472,79.0,5.8
+Current COPD,yes,24213,87.7,27601,85.2,2.5
+DMARDs,no,1260980,84.8,1487052,79.0,5.8
+DMARDs,yes,19152,91.1,21028,87.8,3.3
+"Psychosis, schizophrenia, or bipolar",no,1265747,85.0,1489327,79.2,5.8
+"Psychosis, schizophrenia, or bipolar",yes,14385,76.7,18746,73.5,3.2
+SSRI (last 12 months),no,1130759,84.3,1341830,78.4,5.9
+SSRI (last 12 months),yes,149373,89.9,166243,84.9,5.0
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 60-64 population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 60-64 population_tpp.csv
index f45a110..7a54bbb 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 60-64 population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 60-64 population_tpp.csv	
@@ -1,55 +1,55 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,1105619,86.5,1277514,81.5,5.0
-Sex,F,559860,88.2,635047,83.6,4.6
-Sex,M,545755,84.9,642453,79.4,5.5
-Ethnicity (broad categories),Black,11522,59.1,19502,54.6,4.5
-Ethnicity (broad categories),Mixed,5607,70.8,7924,66.4,4.4
-Ethnicity (broad categories),Other,10745,66.9,16065,62.2,4.7
-Ethnicity (broad categories),South Asian,40817,78.0,52318,74.6,3.4
-Ethnicity (broad categories),Unknown,111237,77.3,143948,71.1,6.2
-Ethnicity (broad categories),White,925694,89.2,1037750,84.2,5.0
-ethnicity 16 groups, African,4557,59.4,7672,54.9,4.5
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1799,80.3,2240,75.6,4.7
-ethnicity 16 groups, Caribbean,4529,57.7,7847,53.2,4.5
-ethnicity 16 groups, Chinese,3311,69.7,4753,63.5,6.2
-ethnicity 16 groups, Other,7434,65.6,11326,61.6,4.0
-ethnicity 16 groups, Other Asian,8484,76.5,11088,73.2,3.3
-ethnicity 16 groups,British or Mixed British,872886,90.8,960883,85.7,5.1
-ethnicity 16 groups,Indian or British Indian,21756,82.9,26229,79.9,3.0
-ethnicity 16 groups,Irish,5453,83.5,6531,80.0,3.5
-ethnicity 16 groups,Other Black,2429,61.0,3983,56.8,4.2
-ethnicity 16 groups,Other White,47362,67.3,70343,63.0,4.3
-ethnicity 16 groups,Other mixed,2142,70.8,3024,67.4,3.4
-ethnicity 16 groups,Pakistani or British Pakistani,8778,68.8,12761,64.9,3.9
-ethnicity 16 groups,Unknown,111230,77.3,143934,71.1,6.2
-ethnicity 16 groups,White + Asian,1176,80.8,1456,76.4,4.4
-ethnicity 16 groups,White + Black African,980,66.4,1477,61.1,5.3
-ethnicity 16 groups,White + Black Caribbean,1309,66.5,1967,61.9,4.6
-Index of Multiple Deprivation (quintiles),1 Most deprived,156310,78.8,198471,73.1,5.7
-Index of Multiple Deprivation (quintiles),2,194110,83.8,231560,78.3,5.5
-Index of Multiple Deprivation (quintiles),3,242410,87.4,277403,82.4,5.0
-Index of Multiple Deprivation (quintiles),4,248675,89.2,278887,84.4,4.8
-Index of Multiple Deprivation (quintiles),5 Least deprived,242025,91.2,265447,86.4,4.8
-Index of Multiple Deprivation (quintiles),Unknown,22078,85.8,25739,81.0,4.8
-BMI,30+,280987,90.6,310163,86.5,4.1
-BMI,under 30,824628,85.2,967344,79.9,5.3
-Chronic cardiac disease,no,1021377,86.2,1184351,80.9,5.3
-Chronic cardiac disease,yes,84238,90.4,93156,88.2,2.2
-Current COPD,no,1074591,86.5,1242899,81.3,5.2
-Current COPD,yes,31024,89.7,34601,87.2,2.5
-DMARDs,no,1086505,86.5,1256766,81.3,5.2
-DMARDs,yes,19110,92.1,20741,89.1,3.0
-Dementia,no,1102381,86.5,1273846,81.5,5.0
-Dementia,yes,3234,88.3,3661,85.3,3.0
-"Psychosis, schizophrenia, or bipolar",no,1093932,86.6,1262786,81.5,5.1
-"Psychosis, schizophrenia, or bipolar",yes,11683,79.4,14721,75.9,3.5
-SSRI (last 12 months),no,989779,86.1,1149253,81.0,5.1
-SSRI (last 12 months),yes,115836,90.3,128254,85.6,4.7
-Chemo or radiotherapy,no,1088990,86.5,1259440,81.4,5.1
-Chemo or radiotherapy,yes,16625,92.0,18067,88.1,3.9
-Cancer (lung),no,1104593,86.5,1276324,81.5,5.0
-Cancer (lung),yes,1022,86.4,1183,83.4,3.0
-Cancer (excluding lung/haem),no,1039885,86.3,1205589,81.1,5.2
-Cancer (excluding lung/haem),yes,65730,91.4,71918,87.4,4.0
-Cancer (haematological),no,1102521,86.5,1274112,81.4,5.1
-Cancer (haematological),yes,3094,91.3,3388,89.5,1.8
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1135077,88.9,1276625,87.0,1.9
+Sex,F,573104,90.3,634725,88.6,1.7
+Sex,M,561967,87.5,641886,85.5,2.0
+Ethnicity (broad categories),Black,12257,62.9,19495,59.7,3.2
+Ethnicity (broad categories),Mixed,5845,73.7,7931,71.2,2.5
+Ethnicity (broad categories),Other,11284,69.8,16156,67.2,2.6
+Ethnicity (broad categories),South Asian,42224,80.7,52297,78.5,2.2
+Ethnicity (broad categories),Unknown,114765,80.2,143108,77.9,2.3
+Ethnicity (broad categories),White,948703,91.4,1037617,89.7,1.7
+ethnicity 16 groups, African,4823,62.8,7679,60.1,2.7
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1876,83.8,2240,80.9,2.9
+ethnicity 16 groups, Caribbean,4830,61.6,7840,58.3,3.3
+ethnicity 16 groups, Chinese,3500,73.5,4760,70.3,3.2
+ethnicity 16 groups, Other,7777,68.2,11396,65.8,2.4
+ethnicity 16 groups, Other Asian,8743,78.9,11088,76.8,2.1
+ethnicity 16 groups,British or Mixed British,893914,93.0,960799,91.3,1.7
+ethnicity 16 groups,Indian or British Indian,22344,85.2,26229,83.3,1.9
+ethnicity 16 groups,Irish,5586,85.5,6531,83.8,1.7
+ethnicity 16 groups,Other Black,2611,65.6,3983,61.9,3.7
+ethnicity 16 groups,Other White,49210,70.0,70294,67.7,2.3
+ethnicity 16 groups,Other mixed,2219,73.4,3024,71.3,2.1
+ethnicity 16 groups,Pakistani or British Pakistani,9254,72.6,12747,69.6,3.0
+ethnicity 16 groups,Unknown,114758,80.2,143108,77.9,2.3
+ethnicity 16 groups,White + Asian,1218,83.3,1463,81.3,2.0
+ethnicity 16 groups,White + Black African,1043,70.3,1484,66.5,3.8
+ethnicity 16 groups,White + Black Caribbean,1372,70.0,1960,67.5,2.5
+Index of Multiple Deprivation (quintiles),1 Most deprived,163135,82.3,198324,79.5,2.8
+Index of Multiple Deprivation (quintiles),2,200172,86.5,231364,84.3,2.2
+Index of Multiple Deprivation (quintiles),3,248444,89.6,277165,87.8,1.8
+Index of Multiple Deprivation (quintiles),4,253897,91.1,278663,89.6,1.5
+Index of Multiple Deprivation (quintiles),5 Least deprived,246610,93.0,265230,91.6,1.4
+Index of Multiple Deprivation (quintiles),Unknown,22806,88.1,25872,86.2,1.9
+BMI,30+,286762,92.6,309813,91.0,1.6
+BMI,under 30,848309,87.7,966798,85.8,1.9
+Chronic cardiac disease,no,1049461,88.7,1183371,86.7,2.0
+Chronic cardiac disease,yes,85603,91.8,93240,90.7,1.1
+Current COPD,no,1103648,88.9,1242136,86.9,2.0
+Current COPD,yes,31423,91.1,34475,90.0,1.1
+DMARDs,no,1115702,88.8,1255905,86.9,1.9
+DMARDs,yes,19369,93.5,20706,92.5,1.0
+Dementia,no,1131760,88.9,1272950,87.0,1.9
+Dementia,yes,3311,90.4,3661,88.9,1.5
+"Psychosis, schizophrenia, or bipolar",no,1123031,89.0,1261911,87.1,1.9
+"Psychosis, schizophrenia, or bipolar",yes,12040,81.9,14707,79.8,2.1
+SSRI (last 12 months),no,1016148,88.5,1148385,86.6,1.9
+SSRI (last 12 months),yes,118923,92.7,128233,90.8,1.9
+Chemo or radiotherapy,no,1118208,88.8,1258635,87.0,1.8
+Chemo or radiotherapy,yes,16856,93.7,17983,92.4,1.3
+Cancer (lung),no,1134035,88.9,1275442,87.0,1.9
+Cancer (lung),yes,1036,88.1,1176,86.9,1.2
+Cancer (excluding lung/haem),no,1068074,88.7,1204735,86.7,2.0
+Cancer (excluding lung/haem),yes,66997,93.2,71883,91.8,1.4
+Cancer (haematological),no,1131991,88.9,1273293,87.0,1.9
+Cancer (haematological),yes,3080,92.6,3325,91.8,0.8
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 65-69 population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 65-69 population_tpp.csv
index c94931d..2ff4f02 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 65-69 population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 65-69 population_tpp.csv	
@@ -1,57 +1,57 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,977074,91.1,1072834,90.2,0.9
-Sex,F,503069,91.8,547967,91.0,0.8
-Sex,M,473998,90.3,524860,89.3,1.0
-Ethnicity (broad categories),Black,7042,65.3,10787,63.7,1.6
-Ethnicity (broad categories),Mixed,3696,75.3,4907,74.0,1.3
-Ethnicity (broad categories),Other,8568,72.7,11788,71.5,1.2
-Ethnicity (broad categories),South Asian,35658,82.2,43358,81.2,1.0
-Ethnicity (broad categories),Unknown,85176,82.4,103320,81.3,1.1
-Ethnicity (broad categories),White,836941,93.1,898674,92.3,0.8
-ethnicity 16 groups, African,2681,62.7,4277,61.0,1.7
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1442,84.1,1715,82.4,1.7
-ethnicity 16 groups, Caribbean,2947,65.5,4501,63.9,1.6
-ethnicity 16 groups, Chinese,2786,73.6,3787,72.1,1.5
-ethnicity 16 groups, Other,5789,72.4,8001,71.2,1.2
-ethnicity 16 groups, Other Asian,6580,81.1,8113,80.3,0.8
-ethnicity 16 groups,British or Mixed British,792743,94.2,841302,93.4,0.8
-ethnicity 16 groups,Indian or British Indian,19789,86.9,22785,86.1,0.8
-ethnicity 16 groups,Irish,5796,88.9,6517,88.1,0.8
-ethnicity 16 groups,Other Black,1414,70.4,2009,68.6,1.8
-ethnicity 16 groups,Other White,38423,75.5,50883,74.5,1.0
-ethnicity 16 groups,Other mixed,1428,75.3,1897,74.2,1.1
-ethnicity 16 groups,Pakistani or British Pakistani,7840,72.9,10759,71.2,1.7
-ethnicity 16 groups,Unknown,85141,82.4,103278,81.3,1.1
-ethnicity 16 groups,White + Asian,854,84.1,1015,83.4,0.7
-ethnicity 16 groups,White + Black African,602,68.3,882,66.7,1.6
-ethnicity 16 groups,White + Black Caribbean,805,71.9,1120,70.6,1.3
-Index of Multiple Deprivation (quintiles),1 Most deprived,130900,85.4,153328,83.9,1.5
-Index of Multiple Deprivation (quintiles),2,168245,89.1,188762,88.0,1.1
-Index of Multiple Deprivation (quintiles),3,217021,91.6,237027,90.7,0.9
-Index of Multiple Deprivation (quintiles),4,222509,92.8,239771,92.1,0.7
-Index of Multiple Deprivation (quintiles),5 Least deprived,218813,94.2,232330,93.6,0.6
-Index of Multiple Deprivation (quintiles),Unknown,19579,90.6,21609,89.7,0.9
-BMI,30+,251209,93.7,268177,92.8,0.9
-BMI,under 30,725858,90.2,804650,89.3,0.9
-Chronic cardiac disease,no,873845,90.9,961793,90.0,0.9
-Chronic cardiac disease,yes,103229,93.0,111034,92.1,0.9
-Current COPD,no,939288,91.0,1032024,90.1,0.9
-Current COPD,yes,37779,92.6,40803,91.6,1.0
-DMARDs,no,958314,91.0,1053017,90.1,0.9
-DMARDs,yes,18753,94.6,19817,93.9,0.7
-Dementia,no,971943,91.1,1067199,90.2,0.9
-Dementia,yes,5131,91.2,5628,90.2,1.0
-"Psychosis, schizophrenia, or bipolar",no,967323,91.2,1061158,90.3,0.9
-"Psychosis, schizophrenia, or bipolar",yes,9751,83.6,11669,81.8,1.8
-Learning disability,no,974862,91.1,1070300,90.2,0.9
-Learning disability,yes,2205,87.3,2527,85.0,2.3
-SSRI (last 12 months),no,891541,90.8,981848,89.9,0.9
-SSRI (last 12 months),yes,85533,94.0,90979,93.0,1.0
-Chemo or radiotherapy,no,958384,91.0,1053045,90.1,0.9
-Chemo or radiotherapy,yes,18690,94.4,19789,93.7,0.7
-Cancer (lung),no,975450,91.1,1071049,90.2,0.9
-Cancer (lung),yes,1624,91.0,1785,89.8,1.2
-Cancer (excluding lung/haem),no,894544,90.8,985285,89.9,0.9
-Cancer (excluding lung/haem),yes,82523,94.3,87542,93.6,0.7
-Cancer (haematological),no,973609,91.1,1069096,90.2,0.9
-Cancer (haematological),yes,3465,92.9,3731,92.3,0.6
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,983250,91.8,1071581,91.2,0.6
+Sex,F,505925,92.4,547463,92.0,0.4
+Sex,M,477316,91.1,524104,90.5,0.6
+Ethnicity (broad categories),Black,7231,67.1,10780,65.6,1.5
+Ethnicity (broad categories),Mixed,3745,76.4,4900,75.6,0.8
+Ethnicity (broad categories),Other,8708,73.5,11851,72.5,1.0
+Ethnicity (broad categories),South Asian,36190,83.5,43323,82.6,0.9
+Ethnicity (broad categories),Unknown,85659,83.5,102641,82.7,0.8
+Ethnicity (broad categories),White,841715,93.7,898079,93.3,0.4
+ethnicity 16 groups, African,2758,64.4,4284,62.9,1.5
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1470,85.7,1715,84.9,0.8
+ethnicity 16 groups, Caribbean,3038,67.7,4487,66.0,1.7
+ethnicity 16 groups, Chinese,2828,74.7,3787,73.8,0.9
+ethnicity 16 groups, Other,5887,72.9,8071,71.9,1.0
+ethnicity 16 groups, Other Asian,6664,82.3,8099,81.4,0.9
+ethnicity 16 groups,British or Mixed British,797034,94.8,840721,94.4,0.4
+ethnicity 16 groups,Indian or British Indian,19978,87.7,22771,87.2,0.5
+ethnicity 16 groups,Irish,5838,89.5,6524,89.1,0.4
+ethnicity 16 groups,Other Black,1442,71.8,2009,70.7,1.1
+ethnicity 16 groups,Other White,38822,76.4,50799,75.7,0.7
+ethnicity 16 groups,Other mixed,1449,76.7,1890,75.9,0.8
+ethnicity 16 groups,Pakistani or British Pakistani,8078,75.1,10752,73.6,1.5
+ethnicity 16 groups,Unknown,85666,83.5,102648,82.7,0.8
+ethnicity 16 groups,White + Asian,861,84.8,1015,84.1,0.7
+ethnicity 16 groups,White + Black African,616,69.8,882,69.0,0.8
+ethnicity 16 groups,White + Black Caribbean,819,73.1,1120,72.5,0.6
+Index of Multiple Deprivation (quintiles),1 Most deprived,132545,86.6,153111,85.7,0.9
+Index of Multiple Deprivation (quintiles),2,169547,90.0,188482,89.3,0.7
+Index of Multiple Deprivation (quintiles),3,218302,92.2,236740,91.7,0.5
+Index of Multiple Deprivation (quintiles),4,223496,93.3,239449,92.9,0.4
+Index of Multiple Deprivation (quintiles),5 Least deprived,219548,94.6,232071,94.3,0.3
+Index of Multiple Deprivation (quintiles),Unknown,19810,91.2,21721,90.7,0.5
+BMI,30+,252483,94.3,267771,93.8,0.5
+BMI,under 30,730765,90.9,803796,90.4,0.5
+Chronic cardiac disease,no,879340,91.5,960561,91.0,0.5
+Chronic cardiac disease,yes,103908,93.6,111013,93.1,0.5
+Current COPD,no,945343,91.7,1030953,91.2,0.5
+Current COPD,yes,37905,93.3,40621,92.8,0.5
+DMARDs,no,964425,91.7,1051792,91.2,0.5
+DMARDs,yes,18823,95.2,19782,94.8,0.4
+Dementia,no,978082,91.8,1065946,91.2,0.6
+Dementia,yes,5166,91.8,5628,91.3,0.5
+"Psychosis, schizophrenia, or bipolar",no,973350,91.8,1059919,91.3,0.5
+"Psychosis, schizophrenia, or bipolar",yes,9898,85.0,11648,84.0,1.0
+Learning disability,no,981001,91.8,1069047,91.3,0.5
+Learning disability,yes,2247,89.2,2520,87.8,1.4
+SSRI (last 12 months),no,897085,91.5,980644,91.0,0.5
+SSRI (last 12 months),yes,86163,94.8,90923,94.2,0.6
+Chemo or radiotherapy,no,964530,91.7,1051890,91.2,0.5
+Chemo or radiotherapy,yes,18711,95.1,19684,94.7,0.4
+Cancer (lung),no,981610,91.8,1069796,91.2,0.6
+Cancer (lung),yes,1638,92.1,1778,90.9,1.2
+Cancer (excluding lung/haem),no,900249,91.5,984060,91.0,0.5
+Cancer (excluding lung/haem),yes,82992,94.8,87507,94.4,0.4
+Cancer (haematological),no,979825,91.8,1067920,91.2,0.6
+Cancer (haematological),yes,3416,93.5,3654,92.9,0.6
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 70-79 population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 70-79 population_tpp.csv
index 0c970c1..f81d4a9 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 70-79 population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 70-79 population_tpp.csv	
@@ -1,61 +1,61 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,1958167,94.7,2068206,94.5,0.2
-Sex,F,1028279,94.9,1084097,94.7,0.2
-Sex,M,929887,94.5,984102,94.3,0.2
-Age band,70-74,1131725,94.3,1200647,94.1,0.2
-Age band,75-79,826441,95.3,867552,95.1,0.2
-Ethnicity (broad categories),Black,10262,69.8,14693,69.2,0.6
-Ethnicity (broad categories),Mixed,5187,80.9,6412,80.3,0.6
-Ethnicity (broad categories),Other,11998,78.7,15253,78.2,0.5
-Ethnicity (broad categories),South Asian,46928,85.4,54943,84.9,0.5
-Ethnicity (broad categories),Unknown,130277,87.6,148645,87.4,0.2
-Ethnicity (broad categories),White,1753514,95.9,1828253,95.8,0.1
-ethnicity 16 groups, African,3374,64.0,5271,63.2,0.8
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1519,84.1,1806,83.3,0.8
-ethnicity 16 groups, Caribbean,5124,73.6,6965,73.0,0.6
-ethnicity 16 groups, Chinese,3164,77.9,4060,77.6,0.3
-ethnicity 16 groups, Other,8820,78.9,11179,78.4,0.5
-ethnicity 16 groups, Other Asian,9212,82.5,11165,82.1,0.4
-ethnicity 16 groups,British or Mixed British,1667400,96.4,1729952,96.3,0.1
-ethnicity 16 groups,Indian or British Indian,27139,89.5,30338,89.1,0.4
-ethnicity 16 groups,Irish,14070,92.7,15183,92.5,0.2
-ethnicity 16 groups,Other Black,1764,71.8,2457,71.5,0.3
-ethnicity 16 groups,Other White,72065,86.7,83139,86.4,0.3
-ethnicity 16 groups,Other mixed,2065,82.4,2506,81.8,0.6
-ethnicity 16 groups,Pakistani or British Pakistani,9058,77.8,11641,77.0,0.8
-ethnicity 16 groups,Unknown,130263,87.6,148631,87.5,0.1
-ethnicity 16 groups,White + Asian,1176,86.6,1358,86.6,0.0
-ethnicity 16 groups,White + Black African,798,74.5,1071,73.9,0.6
-ethnicity 16 groups,White + Black Caribbean,1148,77.4,1484,76.9,0.5
-Index of Multiple Deprivation (quintiles),1 Most deprived,250012,91.4,273420,91.2,0.2
-Index of Multiple Deprivation (quintiles),2,328153,93.4,351344,93.2,0.2
-Index of Multiple Deprivation (quintiles),3,437122,95.0,460278,94.8,0.2
-Index of Multiple Deprivation (quintiles),4,455126,95.6,476000,95.5,0.1
-Index of Multiple Deprivation (quintiles),5 Least deprived,452032,96.4,469035,96.3,0.1
-Index of Multiple Deprivation (quintiles),Unknown,35721,93.7,38122,93.6,0.1
-BMI,30+,491701,96.1,511595,96.0,0.1
-BMI,under 30,1466458,94.2,1556604,94.1,0.1
-Chronic cardiac disease,no,1603420,94.4,1697976,94.3,0.1
-Chronic cardiac disease,yes,354746,95.8,370223,95.7,0.1
-Current COPD,no,1769733,94.6,1871660,94.4,0.2
-Current COPD,yes,188426,95.9,196539,95.7,0.2
-Dialysis,no,1954274,94.7,2064111,94.5,0.2
-Dialysis,yes,3885,95.0,4088,94.7,0.3
-DMARDs,no,1888418,94.6,1996134,94.5,0.1
-DMARDs,yes,69748,96.8,72065,96.6,0.2
-Dementia,no,1916964,94.7,2024708,94.5,0.2
-Dementia,yes,41202,94.7,43491,94.4,0.3
-"Psychosis, schizophrenia, or bipolar",no,1939784,94.7,2047668,94.6,0.1
-"Psychosis, schizophrenia, or bipolar",yes,18382,89.5,20531,89.2,0.3
-Learning disability,no,1955359,94.7,2065133,94.5,0.2
-Learning disability,yes,2800,91.3,3066,90.4,0.9
-SSRI (last 12 months),no,1808597,94.5,1913471,94.4,0.1
-SSRI (last 12 months),yes,149569,96.7,154728,96.5,0.2
-Chemo or radiotherapy,no,1891134,94.6,1998843,94.5,0.1
-Chemo or radiotherapy,yes,67025,96.6,69356,96.5,0.1
-Cancer (lung),no,1946084,94.7,2055543,94.5,0.2
-Cancer (lung),yes,12082,95.5,12656,95.2,0.3
-Cancer (excluding lung/haem),no,1682135,94.4,1782305,94.2,0.2
-Cancer (excluding lung/haem),yes,276031,96.6,285894,96.4,0.2
-Cancer (haematological),no,1928899,94.7,2037819,94.5,0.2
-Cancer (haematological),yes,29260,96.3,30380,96.2,0.1
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1961767,94.9,2067072,94.8,0.1
+Sex,F,1030218,95.1,1083635,94.9,0.2
+Sex,M,931539,94.7,983430,94.6,0.1
+Age band,70-74,1134028,94.5,1200136,94.3,0.2
+Age band,75-79,827729,95.5,866929,95.3,0.2
+Ethnicity (broad categories),Black,10388,70.8,14679,70.1,0.7
+Ethnicity (broad categories),Mixed,5236,81.3,6440,81.0,0.3
+Ethnicity (broad categories),Other,12096,79.0,15316,78.7,0.3
+Ethnicity (broad categories),South Asian,47201,85.9,54936,85.5,0.4
+Ethnicity (broad categories),Unknown,129857,88.0,147483,87.9,0.1
+Ethnicity (broad categories),White,1756979,96.1,1828211,96.0,0.1
+ethnicity 16 groups, African,3409,64.9,5250,64.1,0.8
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1533,84.9,1806,84.1,0.8
+ethnicity 16 groups, Caribbean,5187,74.5,6965,73.8,0.7
+ethnicity 16 groups, Chinese,3178,78.3,4060,77.9,0.4
+ethnicity 16 groups, Other,8918,79.2,11256,78.9,0.3
+ethnicity 16 groups, Other Asian,9261,83.0,11158,82.6,0.4
+ethnicity 16 groups,British or Mixed British,1670606,96.6,1729966,96.4,0.2
+ethnicity 16 groups,Indian or British Indian,27251,89.8,30331,89.5,0.3
+ethnicity 16 groups,Irish,14112,93.0,15176,92.8,0.2
+ethnicity 16 groups,Other Black,1799,73.0,2464,72.4,0.6
+ethnicity 16 groups,Other White,72282,87.0,83083,86.8,0.2
+ethnicity 16 groups,Other mixed,2079,82.7,2513,82.5,0.2
+ethnicity 16 groups,Pakistani or British Pakistani,9163,78.7,11641,78.1,0.6
+ethnicity 16 groups,Unknown,129843,88.0,147469,87.9,0.1
+ethnicity 16 groups,White + Asian,1183,86.7,1365,86.7,0.0
+ethnicity 16 groups,White + Black African,805,75.2,1071,74.5,0.7
+ethnicity 16 groups,White + Black Caribbean,1155,77.8,1484,77.4,0.4
+Index of Multiple Deprivation (quintiles),1 Most deprived,250719,91.8,273140,91.5,0.3
+Index of Multiple Deprivation (quintiles),2,328860,93.7,351071,93.5,0.2
+Index of Multiple Deprivation (quintiles),3,437850,95.2,460033,95.0,0.2
+Index of Multiple Deprivation (quintiles),4,455728,95.8,475720,95.7,0.1
+Index of Multiple Deprivation (quintiles),5 Least deprived,452662,96.5,468839,96.4,0.1
+Index of Multiple Deprivation (quintiles),Unknown,35938,93.9,38255,93.8,0.1
+BMI,30+,492471,96.3,511273,96.2,0.1
+BMI,under 30,1469286,94.4,1555792,94.3,0.1
+Chronic cardiac disease,no,1605926,94.7,1696646,94.5,0.2
+Chronic cardiac disease,yes,355831,96.1,370419,95.9,0.2
+Current COPD,no,1772932,94.8,1870631,94.6,0.2
+Current COPD,yes,188825,96.1,196434,96.0,0.1
+Dialysis,no,1957865,94.9,2062984,94.8,0.1
+Dialysis,yes,3892,95.4,4081,95.0,0.4
+DMARDs,no,1891841,94.8,1995000,94.7,0.1
+DMARDs,yes,69923,97.0,72065,96.9,0.1
+Dementia,no,1920303,94.9,2023490,94.7,0.2
+Dementia,yes,41461,95.1,43575,94.9,0.2
+"Psychosis, schizophrenia, or bipolar",no,1943270,95.0,2046534,94.8,0.2
+"Psychosis, schizophrenia, or bipolar",yes,18494,90.1,20531,89.7,0.4
+Learning disability,no,1958950,94.9,2064013,94.8,0.1
+Learning disability,yes,2807,92.0,3052,91.5,0.5
+SSRI (last 12 months),no,1811775,94.7,1912274,94.6,0.1
+SSRI (last 12 months),yes,149989,96.9,154791,96.7,0.2
+Chemo or radiotherapy,no,1894592,94.8,1997702,94.7,0.1
+Chemo or radiotherapy,yes,67165,96.8,69363,96.7,0.1
+Cancer (lung),no,1949619,94.9,2054395,94.7,0.2
+Cancer (lung),yes,12138,95.8,12670,95.6,0.2
+Cancer (excluding lung/haem),no,1685040,94.6,1781052,94.5,0.1
+Cancer (excluding lung/haem),yes,276717,96.7,286013,96.6,0.1
+Cancer (haematological),no,1932420,94.9,2036671,94.7,0.2
+Cancer (haematological),yes,29344,96.5,30394,96.4,0.1
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 80+ population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 80+ population_tpp.csv
index fc1da32..89f0411 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 80+ population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 80+ population_tpp.csv	
@@ -1,62 +1,62 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,1074241,95.2,1128015,95.1,0.1
-Sex,F,622076,95.1,653807,95.0,0.1
-Sex,M,452158,95.4,474208,95.2,0.2
-Age band,80-84,564375,95.5,590674,95.4,0.1
-Age band,85-89,336084,95.4,352464,95.2,0.2
-Age band,90+,173775,94.0,184870,93.8,0.2
-Ethnicity (broad categories),Black,8113,73.0,11109,72.6,0.4
-Ethnicity (broad categories),Mixed,2660,81.5,3262,81.1,0.4
-Ethnicity (broad categories),Other,5530,81.7,6769,81.3,0.4
-Ethnicity (broad categories),South Asian,24367,85.2,28595,84.8,0.4
-Ethnicity (broad categories),Unknown,55930,85.7,65247,85.6,0.1
-Ethnicity (broad categories),White,977634,96.5,1013026,96.4,0.1
-ethnicity 16 groups, African,1344,63.8,2107,63.1,0.7
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1050,79.8,1316,79.3,0.5
-ethnicity 16 groups, Caribbean,5824,76.1,7658,75.6,0.5
-ethnicity 16 groups, Chinese,1344,78.7,1708,78.7,0.0
-ethnicity 16 groups, Other,4193,82.7,5068,82.2,0.5
-ethnicity 16 groups, Other Asian,3633,82.1,4424,81.5,0.6
-ethnicity 16 groups,British or Mixed British,928795,96.8,959644,96.7,0.1
-ethnicity 16 groups,Indian or British Indian,13594,90.3,15057,90.0,0.3
-ethnicity 16 groups,Irish,9170,94.2,9730,94.0,0.2
-ethnicity 16 groups,Other Black,952,70.5,1351,69.9,0.6
-ethnicity 16 groups,Other White,39697,90.9,43673,90.7,0.2
-ethnicity 16 groups,Other mixed,973,85.3,1141,85.3,0.0
-ethnicity 16 groups,Pakistani or British Pakistani,6090,78.1,7798,77.4,0.7
-ethnicity 16 groups,Unknown,55909,85.7,65226,85.6,0.1
-ethnicity 16 groups,White + Asian,462,85.7,539,85.7,0.0
-ethnicity 16 groups,White + Black African,259,69.8,371,69.8,0.0
-ethnicity 16 groups,White + Black Caribbean,952,78.6,1211,78.6,0.0
-Index of Multiple Deprivation (quintiles),1 Most deprived,134295,91.7,146440,91.5,0.2
-Index of Multiple Deprivation (quintiles),2,177646,93.9,189112,93.8,0.1
-Index of Multiple Deprivation (quintiles),3,240506,95.6,251566,95.5,0.1
-Index of Multiple Deprivation (quintiles),4,250194,96.2,260008,96.1,0.1
-Index of Multiple Deprivation (quintiles),5 Least deprived,252728,96.8,260967,96.8,0.0
-Index of Multiple Deprivation (quintiles),Unknown,18872,94.7,19922,94.6,0.1
-BMI,30+,189350,96.5,196294,96.3,0.2
-BMI,under 30,884884,95.0,931721,94.8,0.2
-Chronic cardiac disease,no,749427,94.8,790951,94.6,0.2
-Chronic cardiac disease,yes,324807,96.4,337064,96.2,0.2
-Current COPD,no,960582,95.1,1010016,95.0,0.1
-Current COPD,yes,113659,96.3,117999,96.2,0.1
-Dialysis,no,1072239,95.2,1125929,95.1,0.1
-Dialysis,yes,1995,96.0,2079,95.6,0.4
-DMARDs,no,1040438,95.2,1093225,95.0,0.2
-DMARDs,yes,33796,97.2,34783,97.0,0.2
-Dementia,no,984788,95.3,1033865,95.1,0.2
-Dementia,yes,89446,95.0,94150,94.8,0.2
-"Psychosis, schizophrenia, or bipolar",no,1066289,95.3,1119300,95.1,0.2
-"Psychosis, schizophrenia, or bipolar",yes,7945,91.2,8715,90.8,0.4
-Learning disability,no,1073723,95.2,1127462,95.1,0.1
-Learning disability,yes,511,92.4,553,92.4,0.0
-SSRI (last 12 months),no,1007279,95.1,1058946,95.0,0.1
-SSRI (last 12 months),yes,66955,96.9,69069,96.8,0.1
-Chemo or radiotherapy,no,1037463,95.2,1090068,95.0,0.2
-Chemo or radiotherapy,yes,36771,96.9,37947,96.7,0.2
-Cancer (lung),no,1066898,95.2,1120378,95.1,0.1
-Cancer (lung),yes,7336,96.1,7637,96.0,0.1
-Cancer (excluding lung/haem),no,878976,94.9,926443,94.7,0.2
-Cancer (excluding lung/haem),yes,195258,96.9,201565,96.7,0.2
-Cancer (haematological),no,1054193,95.2,1107316,95.1,0.1
-Cancer (haematological),yes,20041,96.8,20699,96.7,0.1
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1075478,95.5,1125803,95.4,0.1
+Sex,F,622916,95.5,652596,95.3,0.2
+Sex,M,452557,95.6,473200,95.5,0.1
+Age band,80-84,565299,95.8,589953,95.7,0.1
+Age band,85-89,336427,95.7,351715,95.5,0.2
+Age band,90+,173747,94.4,184128,94.2,0.2
+Ethnicity (broad categories),Black,8204,73.9,11102,73.3,0.6
+Ethnicity (broad categories),Mixed,2667,81.9,3255,81.7,0.2
+Ethnicity (broad categories),Other,5558,82.1,6769,81.8,0.3
+Ethnicity (broad categories),South Asian,24493,85.8,28539,85.4,0.4
+Ethnicity (broad categories),Unknown,55594,86.2,64463,86.1,0.1
+Ethnicity (broad categories),White,978964,96.8,1011675,96.6,0.2
+ethnicity 16 groups, African,1358,64.7,2100,64.0,0.7
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1064,80.9,1316,79.8,1.1
+ethnicity 16 groups, Caribbean,5873,76.8,7651,76.3,0.5
+ethnicity 16 groups, Chinese,1344,79.0,1701,79.0,0.0
+ethnicity 16 groups, Other,4207,83.0,5068,82.6,0.4
+ethnicity 16 groups, Other Asian,3647,82.7,4410,82.4,0.3
+ethnicity 16 groups,British or Mixed British,929978,97.0,958363,96.9,0.1
+ethnicity 16 groups,Indian or British Indian,13636,90.7,15036,90.5,0.2
+ethnicity 16 groups,Irish,9198,94.5,9730,94.3,0.2
+ethnicity 16 groups,Other Black,966,71.5,1351,71.0,0.5
+ethnicity 16 groups,Other White,39760,91.3,43554,91.1,0.2
+ethnicity 16 groups,Other mixed,987,86.0,1148,86.0,0.0
+ethnicity 16 groups,Pakistani or British Pakistani,6146,79.2,7763,78.5,0.7
+ethnicity 16 groups,Unknown,55622,86.2,64491,86.1,0.1
+ethnicity 16 groups,White + Asian,469,87.0,539,87.0,0.0
+ethnicity 16 groups,White + Black African,266,71.7,371,69.8,1.9
+ethnicity 16 groups,White + Black Caribbean,959,79.7,1204,79.1,0.6
+Index of Multiple Deprivation (quintiles),1 Most deprived,134603,92.1,146083,91.9,0.2
+Index of Multiple Deprivation (quintiles),2,177814,94.3,188636,94.1,0.2
+Index of Multiple Deprivation (quintiles),3,240765,95.9,251083,95.7,0.2
+Index of Multiple Deprivation (quintiles),4,250369,96.5,259504,96.3,0.2
+Index of Multiple Deprivation (quintiles),5 Least deprived,252952,97.1,260519,96.9,0.2
+Index of Multiple Deprivation (quintiles),Unknown,18977,95.0,19978,94.8,0.2
+BMI,30+,189518,96.7,195895,96.6,0.1
+BMI,under 30,885955,95.3,929901,95.1,0.2
+Chronic cardiac disease,no,750050,95.0,789124,94.9,0.1
+Chronic cardiac disease,yes,325423,96.7,336672,96.5,0.2
+Current COPD,no,961667,95.4,1008035,95.2,0.2
+Current COPD,yes,113806,96.6,117761,96.4,0.2
+Dialysis,no,1073478,95.5,1123724,95.4,0.1
+Dialysis,yes,1995,96.3,2072,95.9,0.4
+DMARDs,no,1041649,95.5,1091069,95.3,0.2
+DMARDs,yes,33824,97.4,34727,97.3,0.1
+Dementia,no,985593,95.5,1031597,95.4,0.1
+Dementia,yes,89880,95.4,94199,95.2,0.2
+"Psychosis, schizophrenia, or bipolar",no,1067479,95.6,1117088,95.4,0.2
+"Psychosis, schizophrenia, or bipolar",yes,7994,91.8,8708,91.5,0.3
+Learning disability,no,1074962,95.5,1125250,95.4,0.1
+Learning disability,yes,511,93.6,546,92.3,1.3
+SSRI (last 12 months),no,1008378,95.4,1056797,95.2,0.2
+SSRI (last 12 months),yes,67095,97.2,68999,97.1,0.1
+Chemo or radiotherapy,no,1038674,95.5,1087905,95.3,0.2
+Chemo or radiotherapy,yes,36799,97.1,37891,97.0,0.1
+Cancer (lung),no,1068144,95.5,1118187,95.4,0.1
+Cancer (lung),yes,7329,96.3,7609,96.2,0.1
+Cancer (excluding lung/haem),no,879942,95.2,924427,95.0,0.2
+Cancer (excluding lung/haem),yes,195531,97.1,201369,97.0,0.1
+Cancer (haematological),no,1055418,95.5,1105139,95.3,0.2
+Cancer (haematological),yes,20055,97.1,20657,96.9,0.2
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among LD (aged 16-64) population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among LD (aged 16-64) population_tpp.csv
index 360be8c..1062f81 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among LD (aged 16-64) population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among LD (aged 16-64) population_tpp.csv	
@@ -1,18 +1,18 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,60342,74.7,80759,70.8,3.9
-Sex,F,23737,77.8,30513,74.0,3.8
-Sex,M,36603,72.9,50239,68.8,4.1
-Age band,16-29,22120,66.9,33075,62.5,4.4
-Age band,30-34,7728,73.5,10514,69.4,4.1
-Age band,35-39,5901,77.7,7595,74.1,3.6
-Age band,40-44,4795,80.4,5964,76.6,3.8
-Age band,45-49,4942,81.3,6076,77.9,3.4
-Age band,50-54,5369,83.6,6426,80.1,3.5
-Age band,55-59,5411,84.8,6384,81.0,3.8
-Age band,60-64,4074,86.4,4718,83.7,2.7
-Ethnicity (broad categories),Black,644,48.7,1323,45.5,3.2
-Ethnicity (broad categories),Mixed,595,55.9,1064,51.3,4.6
-Ethnicity (broad categories),Other,385,57.9,665,53.7,4.2
-Ethnicity (broad categories),South Asian,2611,56.7,4606,52.7,4.0
-Ethnicity (broad categories),Unknown,4711,71.2,6615,66.7,4.5
-Ethnicity (broad categories),White,51394,77.3,66479,73.5,3.8
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,63524,78.4,81004,75.3,3.1
+Sex,F,24822,81.1,30597,78.3,2.8
+Sex,M,38696,76.8,50400,73.4,3.4
+Age band,16-29,23660,71.1,33285,67.4,3.7
+Age band,30-34,8148,77.3,10535,74.1,3.2
+Age band,35-39,6174,81.1,7609,78.2,2.9
+Age band,40-44,5033,84.3,5971,81.0,3.3
+Age band,45-49,5159,85.0,6069,81.9,3.1
+Age band,50-54,5572,86.7,6426,84.2,2.5
+Age band,55-59,5586,87.6,6377,85.5,2.1
+Age band,60-64,4193,88.7,4725,86.8,1.9
+Ethnicity (broad categories),Black,686,51.6,1330,48.9,2.7
+Ethnicity (broad categories),Mixed,637,59.5,1071,55.6,3.9
+Ethnicity (broad categories),Other,427,64.2,665,58.9,5.3
+Ethnicity (broad categories),South Asian,2835,61.4,4620,57.6,3.8
+Ethnicity (broad categories),Unknown,5019,75.8,6622,71.7,4.1
+Ethnicity (broad categories),White,53914,80.8,66689,77.9,2.9
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among care home population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among care home population_tpp.csv
index 99de913..2eccd2e 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among care home population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among care home population_tpp.csv	
@@ -1,18 +1,18 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,79068,94.7,83510,94.3,0.4
-Sex,F,56364,95.1,59283,94.8,0.3
-Sex,M,22701,93.7,24227,93.2,0.5
-Age band,65-69,4249,90.6,4690,89.7,0.9
-Age band,70-74,6587,92.3,7140,91.6,0.7
-Age band,75-79,9107,93.9,9702,93.4,0.5
-Age band,80-84,13734,95.0,14455,94.6,0.4
-Age band,85-89,18508,95.5,19390,95.2,0.3
-Age band,90+,26880,95.6,28126,95.3,0.3
-Ethnicity (broad categories),Black,385,84.6,455,83.1,1.5
-Ethnicity (broad categories),Mixed,196,87.5,224,87.5,0.0
-Ethnicity (broad categories),Other,343,92.5,371,90.6,1.9
-Ethnicity (broad categories),South Asian,616,90.7,679,89.7,1.0
-Ethnicity (broad categories),Unknown,2044,91.2,2240,90.6,0.6
-Ethnicity (broad categories),White,75488,94.9,79541,94.5,0.4
-Dementia,no,35735,93.3,38290,92.9,0.4
-Dementia,yes,43330,95.8,45220,95.5,0.3
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,79702,95.3,83615,94.9,0.4
+Sex,F,56749,95.6,59332,95.3,0.3
+Sex,M,22953,94.5,24283,94.0,0.5
+Age band,65-69,4312,91.5,4711,90.9,0.6
+Age band,70-74,6671,93.1,7168,92.5,0.6
+Age band,75-79,9240,94.6,9772,94.1,0.5
+Age band,80-84,13860,95.7,14490,95.2,0.5
+Age band,85-89,18641,96.1,19404,95.7,0.4
+Age band,90+,26978,96.1,28063,95.8,0.3
+Ethnicity (broad categories),Black,392,84.8,462,83.3,1.5
+Ethnicity (broad categories),Mixed,203,90.6,224,90.6,0.0
+Ethnicity (broad categories),Other,343,92.5,371,92.5,0.0
+Ethnicity (broad categories),South Asian,616,91.7,672,90.6,1.1
+Ethnicity (broad categories),Unknown,2030,93.2,2177,92.9,0.3
+Ethnicity (broad categories),White,76111,95.5,79709,95.1,0.4
+Dementia,no,36036,94.1,38290,93.5,0.6
+Dementia,yes,43666,96.3,45332,96.0,0.3
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among shielding (aged 16-69) population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among shielding (aged 16-69) population_tpp.csv
index 52dcdd8..b305a8e 100644
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among shielding (aged 16-69) population_tpp.csv	
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among shielding (aged 16-69) population_tpp.csv	
@@ -1,25 +1,25 @@
-Category,Group,Vaccinated at 25 Mar (n),Vaccinated at 25 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,693144,84.6,819210,83.3,1.3
-newly shielded since feb 15,no,448448,89.2,502593,88.6,0.6
-newly shielded since feb 15,yes,244692,77.3,316624,74.8,2.5
-Sex,F,385112,83.7,460264,82.3,1.4
-Sex,M,308021,85.8,358932,84.6,1.2
-Age band,16-29,49406,72.1,68516,70.2,1.9
-Age band,30-39,93401,74.2,125888,72.2,2.0
-Age band,40-49,134890,82.2,164171,80.4,1.8
-Age band,50-59,198569,88.1,225484,86.8,1.3
-Age band,60-69,216867,92.2,235137,91.6,0.6
-Ethnicity (broad categories),Black,27755,62.6,44324,60.4,2.2
-Ethnicity (broad categories),Mixed,9940,70.0,14196,68.1,1.9
-Ethnicity (broad categories),Other,12670,70.3,18011,68.4,1.9
-Ethnicity (broad categories),South Asian,81375,75.4,107919,73.0,2.4
-Ethnicity (broad categories),Unknown,27104,82.4,32886,80.7,1.7
-Ethnicity (broad categories),White,534289,88.8,601874,87.8,1.0
-Index of Multiple Deprivation (quintiles),1 Most deprived,191555,78.8,243075,77.0,1.8
-Index of Multiple Deprivation (quintiles),2,154714,83.3,185696,81.9,1.4
-Index of Multiple Deprivation (quintiles),3,134967,86.9,155267,85.8,1.1
-Index of Multiple Deprivation (quintiles),4,108717,89.6,121394,88.6,1.0
-Index of Multiple Deprivation (quintiles),5 Least deprived,86688,92.0,94220,91.2,0.8
-Index of Multiple Deprivation (quintiles),Unknown,16506,84.4,19551,82.9,1.5
-Learning disability,no,669613,84.5,792428,83.2,1.3
-Learning disability,yes,23520,87.9,26768,86.7,1.2
+Category,Group,Vaccinated at 01 Apr (n),Vaccinated at 01 Apr (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,708558,85.9,824432,84.8,1.1
+newly shielded since feb 15,no,452249,89.9,502831,89.4,0.5
+newly shielded since feb 15,yes,256305,79.7,321601,77.7,2.0
+Sex,F,393687,85.1,462644,83.9,1.2
+Sex,M,314860,87.0,361774,86.0,1.0
+Age band,16-29,50974,74.1,68810,72.4,1.7
+Age band,30-39,96369,76.2,126413,74.5,1.7
+Age band,40-49,138593,83.9,165200,82.4,1.5
+Age band,50-59,202643,89.2,227164,88.3,0.9
+Age band,60-69,219961,92.9,236831,92.4,0.5
+Ethnicity (broad categories),Black,29106,65.4,44478,63.2,2.2
+Ethnicity (broad categories),Mixed,10276,72.2,14238,70.4,1.8
+Ethnicity (broad categories),Other,13111,72.3,18130,70.7,1.6
+Ethnicity (broad categories),South Asian,84483,78.1,108227,75.9,2.2
+Ethnicity (broad categories),Unknown,27636,84.0,32886,82.7,1.3
+Ethnicity (broad categories),White,543935,89.7,606459,88.9,0.8
+Index of Multiple Deprivation (quintiles),1 Most deprived,196616,80.6,243915,79.2,1.4
+Index of Multiple Deprivation (quintiles),2,158109,84.7,186613,83.6,1.1
+Index of Multiple Deprivation (quintiles),3,137718,88.0,156422,87.1,0.9
+Index of Multiple Deprivation (quintiles),4,110859,90.5,122521,89.6,0.9
+Index of Multiple Deprivation (quintiles),5 Least deprived,88298,92.8,95186,92.1,0.7
+Index of Multiple Deprivation (quintiles),Unknown,16947,85.8,19761,84.5,1.3
+Learning disability,no,684621,85.8,797629,84.7,1.1
+Learning disability,yes,23926,89.3,26789,88.2,1.1
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 55s, not in other eligible groups shown population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 55s, not in other eligible groups shown population_tpp.csv
new file mode 100644
index 0000000..729db77
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 55s, not in other eligible groups shown population_tpp.csv	
@@ -0,0 +1,47 @@
+Category,Group,Vaccinated at 01 Apr (n),Previous week's vaccination figure (n),Vaccinated over last 7d (n),Increase in coverage over last 7d (%)
+overall,overall,3534037,3053245.0,480792.0,15.7
+Sex,F,2041235,1807673.0,233562.0,12.9
+Sex,M,1492722,1245503.0,247219.0,19.8
+Age band,16-29,547708,490686.0,57022.0,11.6
+Age band,30-39,682199,612948.0,69251.0,11.3
+Age band,40-49,1044547,858158.0,186389.0,21.7
+Age band,50-59,1259496,1091384.0,168112.0,15.4
+Ethnicity (broad categories),Black,68642,60193.0,8449.0,14.0
+Ethnicity (broad categories),Mixed,41517,36484.0,5033.0,13.8
+Ethnicity (broad categories),Other,62146,53221.0,8925.0,16.8
+Ethnicity (broad categories),South Asian,252182,217350.0,34832.0,16.0
+Ethnicity (broad categories),Unknown,338513,279363.0,59150.0,21.2
+Ethnicity (broad categories),White,2770957,2406572.0,364385.0,15.1
+ethnicity 16 groups, African,43407,38311.0,5096.0,13.3
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,19180,15827.0,3353.0,21.2
+ethnicity 16 groups, Caribbean,11011,9548.0,1463.0,15.3
+ethnicity 16 groups, Chinese,13685,11382.0,2303.0,20.2
+ethnicity 16 groups, Other,48461,41846.0,6615.0,15.8
+ethnicity 16 groups, Other Asian,57897,50939.0,6958.0,13.7
+ethnicity 16 groups,British or Mixed British,2540083,2208773.0,331310.0,15.0
+ethnicity 16 groups,Indian or British Indian,110726,95515.0,15211.0,15.9
+ethnicity 16 groups,Irish,15967,14014.0,1953.0,13.9
+ethnicity 16 groups,Other Black,14231,12341.0,1890.0,15.3
+ethnicity 16 groups,Other White,214788,183687.0,31101.0,16.9
+ethnicity 16 groups,Other mixed,14917,13034.0,1883.0,14.4
+ethnicity 16 groups,Pakistani or British Pakistani,64386,55076.0,9310.0,16.9
+ethnicity 16 groups,Unknown,338632,279447.0,59185.0,21.2
+ethnicity 16 groups,White + Asian,9702,8554.0,1148.0,13.4
+ethnicity 16 groups,White + Black African,8155,7224.0,931.0,12.9
+ethnicity 16 groups,White + Black Caribbean,8729,7658.0,1071.0,14.0
+Index of Multiple Deprivation (quintiles),1 Most deprived,631414,545510.0,85904.0,15.7
+Index of Multiple Deprivation (quintiles),2,674142,582729.0,91413.0,15.7
+Index of Multiple Deprivation (quintiles),3,736099,640241.0,95858.0,15.0
+Index of Multiple Deprivation (quintiles),4,718529,619871.0,98658.0,15.9
+Index of Multiple Deprivation (quintiles),5 Least deprived,680365,583149.0,97216.0,16.7
+Index of Multiple Deprivation (quintiles),Unknown,93408,81669.0,11739.0,14.4
+BMI,30+,824698,741104.0,83594.0,11.3
+BMI,under 30,2709259,2312072.0,397187.0,17.2
+Chronic cardiac disease,no,3438540,2963247.0,475293.0,16.0
+Chronic cardiac disease,yes,95417,89922.0,5495.0,6.1
+Current COPD,no,3504991,3025855.0,479136.0,15.8
+Current COPD,yes,28966,27321.0,1645.0,6.0
+DMARDs,no,3483669,3006381.0,477288.0,15.9
+DMARDs,yes,50281,46788.0,3493.0,7.5
+SSRI (last 12 months),no,3020395,2594998.0,425397.0,16.4
+SSRI (last 12 months),yes,513562,458178.0,55384.0,12.1
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 60s, not in other eligible groups shown population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 60s, not in other eligible groups shown population_tpp.csv
deleted file mode 100644
index 36aa2f5..0000000
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 60s, not in other eligible groups shown population_tpp.csv	
+++ /dev/null
@@ -1,47 +0,0 @@
-Category,Group,Vaccinated at 25 Mar (n),Previous week's vaccination figure (n),Vaccinated over last 7d (n),Increase in coverage over last 7d (%)
-overall,overall,4129702,3263110.0,866592.0,26.6
-Sex,F,2359315,1948191.0,411124.0,21.1
-Sex,M,1770314,1314859.0,455455.0,34.6
-Age band,16-29,479850,426314.0,53536.0,12.6
-Age band,30-39,600264,534065.0,66199.0,12.4
-Age band,40-49,828716,699923.0,128793.0,18.4
-Age band,50-59,2220806,1602755.0,618051.0,38.6
-Ethnicity (broad categories),Black,74627,63049.0,11578.0,18.4
-Ethnicity (broad categories),Mixed,43043,35819.0,7224.0,20.2
-Ethnicity (broad categories),Other,64358,51940.0,12418.0,23.9
-Ethnicity (broad categories),South Asian,252259,213493.0,38766.0,18.2
-Ethnicity (broad categories),Unknown,385266,281015.0,104251.0,37.1
-Ethnicity (broad categories),White,3310076,2617741.0,692335.0,26.4
-ethnicity 16 groups, African,44121,38010.0,6111.0,16.1
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,17458,14231.0,3227.0,22.7
-ethnicity 16 groups, Caribbean,14749,11984.0,2765.0,23.1
-ethnicity 16 groups, Chinese,14707,11053.0,3654.0,33.1
-ethnicity 16 groups, Other,49672,40901.0,8771.0,21.4
-ethnicity 16 groups, Other Asian,59612,50834.0,8778.0,17.3
-ethnicity 16 groups,British or Mixed British,3059014,2420607.0,638407.0,26.4
-ethnicity 16 groups,Indian or British Indian,113792,96355.0,17437.0,18.1
-ethnicity 16 groups,Irish,19467,15505.0,3962.0,25.6
-ethnicity 16 groups,Other Black,15750,13048.0,2702.0,20.7
-ethnicity 16 groups,Other White,231644,181664.0,49980.0,27.5
-ethnicity 16 groups,Other mixed,15330,12509.0,2821.0,22.6
-ethnicity 16 groups,Pakistani or British Pakistani,61397,52073.0,9324.0,17.9
-ethnicity 16 groups,Unknown,385203,280966.0,104237.0,37.1
-ethnicity 16 groups,White + Asian,9926,8302.0,1624.0,19.6
-ethnicity 16 groups,White + Black African,8379,7133.0,1246.0,17.5
-ethnicity 16 groups,White + Black Caribbean,9408,7875.0,1533.0,19.5
-Index of Multiple Deprivation (quintiles),1 Most deprived,699237,573762.0,125475.0,21.9
-Index of Multiple Deprivation (quintiles),2,770616,616371.0,154245.0,25.0
-Index of Multiple Deprivation (quintiles),3,876036,689290.0,186746.0,27.1
-Index of Multiple Deprivation (quintiles),4,861196,669200.0,191996.0,28.7
-Index of Multiple Deprivation (quintiles),5 Least deprived,820463,631575.0,188888.0,29.9
-Index of Multiple Deprivation (quintiles),Unknown,102074,82859.0,19215.0,23.2
-BMI,30+,1016988,850591.0,166397.0,19.6
-BMI,under 30,3112641,2412459.0,700182.0,29.0
-Chronic cardiac disease,no,3979262,3125892.0,853370.0,27.3
-Chronic cardiac disease,yes,150367,137158.0,13209.0,9.6
-Current COPD,no,4079068,3216766.0,862302.0,26.8
-Current COPD,yes,50561,46284.0,4277.0,9.2
-DMARDs,no,4065278,3206539.0,858739.0,26.8
-DMARDs,yes,64351,56518.0,7833.0,13.9
-SSRI (last 12 months),no,3545003,2775710.0,769293.0,27.7
-SSRI (last 12 months),yes,584626,487340.0,97286.0,20.0
diff --git a/released-outputs/opensafely_vaccine_report_overall.html b/released-outputs/opensafely_vaccine_report_overall.html
index 0ec9463..1f3a68f 100644
--- a/released-outputs/opensafely_vaccine_report_overall.html
+++ b/released-outputs/opensafely_vaccine_report_overall.html
@@ -13100,7 +13100,7 @@ <h1 id="OpenSAFELY-COVID-Vaccine-coverage-report">OpenSAFELY COVID Vaccine cover
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h3 id="Report-last-updated-30-Mar-2021">Report last updated <strong>30 Mar 2021</strong><a class="anchor-link" href="#Report-last-updated-30-Mar-2021">&#182;</a></h3>
+<h3 id="Report-last-updated-06-Apr-2021">Report last updated <strong>06 Apr 2021</strong><a class="anchor-link" href="#Report-last-updated-06-Apr-2021">&#182;</a></h3>
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 </div>
@@ -13109,7 +13109,7 @@ <h3 id="Report-last-updated-30-Mar-2021">Report last updated <strong>30 Mar 2021
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h3 id="Vaccinations-included-up-to-25-Mar-2021-inclusive">Vaccinations included up to <strong>25 Mar 2021</strong> inclusive<a class="anchor-link" href="#Vaccinations-included-up-to-25-Mar-2021-inclusive">&#182;</a></h3>
+<h3 id="Vaccinations-included-up-to-01-Apr-2021-inclusive">Vaccinations included up to <strong>01 Apr 2021</strong> inclusive<a class="anchor-link" href="#Vaccinations-included-up-to-01-Apr-2021-inclusive">&#182;</a></h3>
 </div>
 
 </div>
@@ -13130,6 +13130,7 @@ <h4 id="-"> <a class="anchor-link" href="#-">&#182;</a></h4><h2 id="Contents:">C
 <li><a href=#charts_shield>shielding (aged 16-69) population</a></li>
 <li><a href=#charts65>65-69 population</a></li>
 <li><a href=#charts60>60-64 population</a></li>
+<li><a href=#charts55>55-59 population</a></li>
 </ul>
 </li>
 <li><strong><a href=#tables>Current vaccination coverage of each eligible population group, according to demographic/clinical features</a></strong><br /><ul>
@@ -13158,7 +13159,7 @@ <h1 id="-"> <a class="anchor-link" href="#-">&#182;</a></h1><h2 id="Overview-of-
 
 
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-<h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-at-25-Mar-2021:">&#182;</a></h3>
+<h3 id="As-at-01-Apr-2021:">As at 01 Apr 2021:<a class="anchor-link" href="#As-at-01-Apr-2021:">&#182;</a></h3>
 </div>
 
 </div>
@@ -13167,7 +13168,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>Total</strong> population vaccinated in TPP: 10,077,354</p>
+<p><strong>Total</strong> population receiving first dose in TPP: 10,821,531; second dose: 1,366,631</p>
 
 </div>
 
@@ -13177,7 +13178,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>80+</strong> population vaccinated: 1,074,241 (95.2% of 1,128,015)</p>
+<p><strong>80+</strong> population receiving first dose: 1,075,480 (<strong>95.5%</strong> of 1,125,803); second dose: 522,760 (<strong>46.4%</strong> of 1,125,803)</p>
 
 </div>
 
@@ -13187,7 +13188,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>70-79</strong> population vaccinated: 1,958,166 (94.7% of 2,068,206)</p>
+<p><strong>70-79</strong> population receiving first dose: 1,961,764 (<strong>94.9%</strong> of 2,067,072); second dose: 188,818 (<strong>9.1%</strong> of 2,067,072)</p>
 
 </div>
 
@@ -13197,7 +13198,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>care home</strong> population vaccinated: 79,065 (94.7% of 83,510)</p>
+<p><strong>care home</strong> population receiving first dose: 79,702 (<strong>95.3%</strong> of 83,615); second dose: 40,579 (<strong>48.5%</strong> of 83,615)</p>
 
 </div>
 
@@ -13207,7 +13208,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>shielding (aged 16-69)</strong> population vaccinated: 693,147 (84.6% of 819,210)</p>
+<p><strong>shielding (aged 16-69)</strong> population receiving first dose: 708,561 (<strong>85.9%</strong> of 824,432); second dose: 54,005 (<strong>6.6%</strong> of 824,432)</p>
 
 </div>
 
@@ -13217,7 +13218,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>65-69</strong> population vaccinated: 977,074 (91.1% of 1,072,834)</p>
+<p><strong>65-69</strong> population receiving first dose: 983,248 (<strong>91.8%</strong> of 1,071,581); second dose: 33,243 (<strong>3.1%</strong> of 1,071,581)</p>
 
 </div>
 
@@ -13227,7 +13228,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>LD (aged 16-64)</strong> population vaccinated: 60,340 (74.7% of 80,759)</p>
+<p><strong>LD (aged 16-64)</strong> population receiving first dose: 63,525 (<strong>78.4%</strong> of 81,004); second dose: 2,471 (<strong>3.1%</strong> of 81,004)</p>
 
 </div>
 
@@ -13237,7 +13238,7 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>60-64</strong> population vaccinated: 1,105,622 (86.5% of 1,277,514)</p>
+<p><strong>60-64</strong> population receiving first dose: 1,135,078 (<strong>88.9%</strong> of 1,276,625); second dose: 60,095 (<strong>4.7%</strong> of 1,276,625)</p>
 
 </div>
 
@@ -13247,7 +13248,17 @@ <h3 id="As-at-25-Mar-2021:">As at 25 Mar 2021:<a class="anchor-link" href="#As-a
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>under 60s, not in other eligible groups shown</strong> population vaccinated: 4,129,699</p>
+<p><strong>55-59</strong> population receiving first dose: 1,280,132 (<strong>84.9%</strong> of 1,508,087); second dose: 79,933 (<strong>5.3%</strong> of 1,508,087)</p>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<p><strong>under 55s, not in other eligible groups shown</strong> population receiving first dose: 3,534,034; second dose: 384,720</p>
 
 </div>
 
@@ -13266,7 +13277,7 @@ <h4 id="Vaccine-types-and-second-doses:">Vaccine types and second doses:<a class
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p>Second doses (% of all vaccinated): 794,997 (7.9%)</p>
+<p>Second doses (% of all vaccinated): 1,366,631 (12.6%)</p>
 
 </div>
 
@@ -13276,7 +13287,7 @@ <h4 id="Vaccine-types-and-second-doses:">Vaccine types and second doses:<a class
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p>Oxford-AZ vaccines (% of all first doses): 6,317,024 (62.7%)</p>
+<p>Oxford-AZ vaccines (% of all first doses): 7,037,884 (65.0%)</p>
 
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@@ -17175,13 +17242,13 @@ <h3 id="COVID-vaccinations-among-80+-population">COVID vaccinations among 80+ po
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-    <!-- latest overall national* rate -->
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-    <!-- latest overall national* rate -->
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@@ -27202,49 +27352,49 @@ <h3 id="COVID-vaccinations-among-shielding-(aged-16-69)-population">COVID vaccin
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@@ -27263,10 +27413,10 @@ <h3 id="COVID-vaccinations-among-shielding-(aged-16-69)-population">COVID vaccin
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+      <!-- 17 Mar -->
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+      <!-- 05 Feb -->
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@@ -28295,14 +28455,14 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 26 Feb -->
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+      <!-- 25 Feb -->
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+      <!-- 17 Mar -->
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+      <!-- 17 Mar -->
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+      <!-- 27 Dec -->
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+      <!-- 05 Feb -->
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@@ -29794,14 +29967,14 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 26 Feb -->
-      <g transform="translate(272.671185 239.238437)scale(0.1 -0.1)">
+      <!-- 25 Feb -->
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-      <!-- 18 Mar -->
+      <!-- 17 Mar -->
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@@ -29831,6 +30004,13 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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+      <!-- 27 Dec -->
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-      <!-- 06 Feb -->
+      <!-- 05 Feb -->
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@@ -30226,14 +30404,14 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 26 Feb -->
-      <g transform="translate(272.671185 239.264499)scale(0.1 -0.1)">
+      <!-- 25 Feb -->
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-      <!-- 18 Mar -->
+      <!-- 17 Mar -->
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@@ -30263,6 +30441,13 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 18 Mar -->
+      <!-- 17 Mar -->
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+      <!-- 27 Dec -->
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@@ -31090,14 +31278,14 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 26 Feb -->
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+      <!-- 17 Mar -->
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+      <!-- 27 Dec -->
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+      <!-- 16 Jan -->
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-      <!-- 06 Feb -->
+      <!-- 05 Feb -->
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@@ -31954,14 +32152,14 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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-      <!-- 26 Feb -->
-      <g transform="translate(272.671185 239.238438)scale(0.1 -0.1)">
+      <!-- 25 Feb -->
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-      <!-- 18 Mar -->
+      <!-- 17 Mar -->
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@@ -31991,6 +32189,13 @@ <h3 id="COVID-vaccinations-among-65-69-population">COVID vaccinations among 65-6
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+     <g id="text_1">
+      <!-- 01 Dec -->
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+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
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+      <!-- 26 Dec -->
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+     <g id="text_3">
+      <!-- 15 Jan -->
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+      <!-- 04 Feb -->
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+      <g transform="translate(90.670452 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-68"/>
+       <use x="236.035156" xlink:href="#DejaVuSans-101"/>
+       <use x="297.558594" xlink:href="#DejaVuSans-99"/>
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+     </g>
+    </g>
+    <g id="xtick_3">
+     <g id="line2d_3">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="160.774285" xlink:href="#m81a9d66b6c" y="224.64"/>
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+     </g>
+     <g id="text_3">
+      <!-- 15 Jan -->
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+       <path d="M 9.8125 72.90625  L 19.671875 72.90625  L 19.671875 5.078125  Q 19.671875 -8.109375 14.671875 -14.0625  Q 9.671875 -20.015625 -1.421875 -20.015625  L -5.171875 -20.015625  L -5.171875 -11.71875  L -2.09375 -11.71875  Q 4.4375 -11.71875 7.125 -8.046875  Q 9.8125 -4.390625 9.8125 5.078125  z " id="DejaVuSans-74"/>
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+      </defs>
+      <g transform="translate(145.11491 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-74"/>
+       <use x="188.525391" xlink:href="#DejaVuSans-97"/>
+       <use x="249.804688" xlink:href="#DejaVuSans-110"/>
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+     </g>
+    </g>
+    <g id="xtick_4">
+     <g id="line2d_4">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="213.250774" xlink:href="#m81a9d66b6c" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_4">
+      <!-- 04 Feb -->
+      <defs>
+       <path d="M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z " id="DejaVuSans-52"/>
+       <path d="M 9.8125 72.90625  L 51.703125 72.90625  L 51.703125 64.59375  L 19.671875 64.59375  L 19.671875 43.109375  L 48.578125 43.109375  L 48.578125 34.8125  L 19.671875 34.8125  L 19.671875 0  L 9.8125 0  z " id="DejaVuSans-70"/>
+       <path d="M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z " id="DejaVuSans-98"/>
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+      <g transform="translate(196.176555 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
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+     </g>
+    </g>
+    <g id="xtick_5">
+     <g id="line2d_5">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="265.727263" xlink:href="#m81a9d66b6c" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 24 Feb -->
+      <g transform="translate(248.653044 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
+      </g>
+     </g>
+    </g>
+    <g id="xtick_6">
+     <g id="line2d_6">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="318.203752" xlink:href="#m81a9d66b6c" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 16 Mar -->
+      <defs>
+       <path d="M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z " id="DejaVuSans-77"/>
+       <path d="M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z " id="DejaVuSans-114"/>
+      </defs>
+      <g transform="translate(300.818596 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
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+    <g id="xtick_7">
+     <g id="line2d_7">
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+      </g>
+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
+     <defs>
+      <path d="M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z " id="DejaVuSans-116"/>
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+      <use x="692.871094" xlink:href="#DejaVuSans-101"/>
+      <use x="754.394531" xlink:href="#DejaVuSans-100"/>
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+   <g id="matplotlib.axis_2">
+    <g id="ytick_1">
+     <g id="line2d_8">
+      <defs>
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+     <g id="text_8">
+      <!-- 0 -->
+      <g transform="translate(27.240625 218.985306)scale(0.1 -0.1)">
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+     <g id="text_9">
+      <!-- 20 -->
+      <g transform="translate(20.878125 175.921576)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
+    </g>
+    <g id="ytick_3">
+     <g id="line2d_10">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
+      <g transform="translate(20.878125 132.857846)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
+      </g>
+     </g>
+    </g>
+    <g id="ytick_4">
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+      </g>
+     </g>
+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 89.794116)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
+      </g>
+     </g>
+    </g>
+    <g id="ytick_5">
+     <g id="line2d_12">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="40.603125" xlink:href="#m1ba06c4938" y="42.931168"/>
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+      <g transform="translate(20.878125 46.730387)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-56"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
+    </g>
+    <g id="text_13">
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+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h3 id="COVID-vaccinations-among-55-59-population">COVID vaccinations among 55-59 population<a class="anchor-link" href="#COVID-vaccinations-among-55-59-population">&#182;</a></h3><h3 id="by-BMI">by BMI<a class="anchor-link" href="#by-BMI">&#182;</a></h3>
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+
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+      <!-- 15 Jan -->
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+      <g transform="translate(145.11491 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-74"/>
+       <use x="188.525391" xlink:href="#DejaVuSans-97"/>
+       <use x="249.804688" xlink:href="#DejaVuSans-110"/>
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+     </g>
+    </g>
+    <g id="xtick_4">
+     <g id="line2d_4">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="213.250774" xlink:href="#m07c70b7cf6" y="224.64"/>
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+     </g>
+     <g id="text_4">
+      <!-- 04 Feb -->
+      <defs>
+       <path d="M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z " id="DejaVuSans-52"/>
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+       <path d="M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z " id="DejaVuSans-98"/>
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+      <g transform="translate(196.176555 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
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+     </g>
+    </g>
+    <g id="xtick_5">
+     <g id="line2d_5">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="265.727263" xlink:href="#m07c70b7cf6" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 24 Feb -->
+      <g transform="translate(248.653044 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
+      </g>
+     </g>
+    </g>
+    <g id="xtick_6">
+     <g id="line2d_6">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="318.203752" xlink:href="#m07c70b7cf6" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 16 Mar -->
+      <defs>
+       <path d="M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z " id="DejaVuSans-77"/>
+       <path d="M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z " id="DejaVuSans-114"/>
+      </defs>
+      <g transform="translate(300.818596 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
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+     </g>
+    </g>
+    <g id="xtick_7">
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+      </g>
+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
+     <defs>
+      <path d="M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z " id="DejaVuSans-116"/>
+      <path d="M 2.984375 54.6875  L 12.5 54.6875  L 29.59375 8.796875  L 46.6875 54.6875  L 56.203125 54.6875  L 35.6875 0  L 23.484375 0  z " id="DejaVuSans-118"/>
+      <path d="M 9.421875 54.6875  L 18.40625 54.6875  L 18.40625 0  L 9.421875 0  z M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 64.59375  L 9.421875 64.59375  z " id="DejaVuSans-105"/>
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+   <g id="matplotlib.axis_2">
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+     <g id="text_8">
+      <!-- 0 -->
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+     </g>
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+      <!-- 20 -->
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+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
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+    <g id="ytick_3">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
+      <g transform="translate(20.878125 134.634021)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
+    </g>
+    <g id="ytick_4">
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+     </g>
+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 92.458379)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    <g id="ytick_5">
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+      <g transform="translate(20.878125 50.282737)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-56"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
+      </g>
+     </g>
+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+      <path d="M 19.671875 64.796875  L 19.671875 37.40625  L 32.078125 37.40625  Q 38.96875 37.40625 42.71875 40.96875  Q 46.484375 44.53125 46.484375 51.125  Q 46.484375 57.671875 42.71875 61.234375  Q 38.96875 64.796875 32.078125 64.796875  z M 9.8125 72.90625  L 32.078125 72.90625  Q 44.34375 72.90625 50.609375 67.359375  Q 56.890625 61.8125 56.890625 51.125  Q 56.890625 40.328125 50.609375 34.8125  Q 44.34375 29.296875 32.078125 29.296875  L 19.671875 29.296875  L 19.671875 0  L 9.8125 0  z " id="DejaVuSans-80"/>
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+      <!-- 26 Dec -->
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+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
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+     <g id="text_3">
+      <!-- 15 Jan -->
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+      <!-- 04 Feb -->
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+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-68"/>
+       <use x="236.035156" xlink:href="#DejaVuSans-101"/>
+       <use x="297.558594" xlink:href="#DejaVuSans-99"/>
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+     </g>
+    </g>
+    <g id="xtick_3">
+     <g id="line2d_3">
+      <g>
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+     </g>
+     <g id="text_3">
+      <!-- 15 Jan -->
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+      <g transform="translate(145.11491 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-74"/>
+       <use x="188.525391" xlink:href="#DejaVuSans-97"/>
+       <use x="249.804688" xlink:href="#DejaVuSans-110"/>
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+     </g>
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+    <g id="xtick_4">
+     <g id="line2d_4">
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+     </g>
+     <g id="text_4">
+      <!-- 04 Feb -->
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+       <path d="M 37.796875 64.3125  L 12.890625 25.390625  L 37.796875 25.390625  z M 35.203125 72.90625  L 47.609375 72.90625  L 47.609375 25.390625  L 58.015625 25.390625  L 58.015625 17.1875  L 47.609375 17.1875  L 47.609375 0  L 37.796875 0  L 37.796875 17.1875  L 4.890625 17.1875  L 4.890625 26.703125  z " id="DejaVuSans-52"/>
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+       <path d="M 48.6875 27.296875  Q 48.6875 37.203125 44.609375 42.84375  Q 40.53125 48.484375 33.40625 48.484375  Q 26.265625 48.484375 22.1875 42.84375  Q 18.109375 37.203125 18.109375 27.296875  Q 18.109375 17.390625 22.1875 11.75  Q 26.265625 6.109375 33.40625 6.109375  Q 40.53125 6.109375 44.609375 11.75  Q 48.6875 17.390625 48.6875 27.296875  z M 18.109375 46.390625  Q 20.953125 51.265625 25.265625 53.625  Q 29.59375 56 35.59375 56  Q 45.5625 56 51.78125 48.09375  Q 58.015625 40.1875 58.015625 27.296875  Q 58.015625 14.40625 51.78125 6.484375  Q 45.5625 -1.421875 35.59375 -1.421875  Q 29.59375 -1.421875 25.265625 0.953125  Q 20.953125 3.328125 18.109375 8.203125  L 18.109375 0  L 9.078125 0  L 9.078125 75.984375  L 18.109375 75.984375  z " id="DejaVuSans-98"/>
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+      <g transform="translate(196.176555 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
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+     </g>
+    </g>
+    <g id="xtick_5">
+     <g id="line2d_5">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="265.727263" xlink:href="#m3ab1c33bfa" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 24 Feb -->
+      <g transform="translate(248.653044 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-52"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-70"/>
+       <use x="216.474609" xlink:href="#DejaVuSans-101"/>
+       <use x="277.998047" xlink:href="#DejaVuSans-98"/>
+      </g>
+     </g>
+    </g>
+    <g id="xtick_6">
+     <g id="line2d_6">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="318.203752" xlink:href="#m3ab1c33bfa" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 16 Mar -->
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+       <path d="M 9.8125 72.90625  L 24.515625 72.90625  L 43.109375 23.296875  L 61.8125 72.90625  L 76.515625 72.90625  L 76.515625 0  L 66.890625 0  L 66.890625 64.015625  L 48.09375 14.015625  L 38.1875 14.015625  L 19.390625 64.015625  L 19.390625 0  L 9.8125 0  z " id="DejaVuSans-77"/>
+       <path d="M 41.109375 46.296875  Q 39.59375 47.171875 37.8125 47.578125  Q 36.03125 48 33.890625 48  Q 26.265625 48 22.1875 43.046875  Q 18.109375 38.09375 18.109375 28.8125  L 18.109375 0  L 9.078125 0  L 9.078125 54.6875  L 18.109375 54.6875  L 18.109375 46.1875  Q 20.953125 51.171875 25.484375 53.578125  Q 30.03125 56 36.53125 56  Q 37.453125 56 38.578125 55.875  Q 39.703125 55.765625 41.0625 55.515625  z " id="DejaVuSans-114"/>
+      </defs>
+      <g transform="translate(300.818596 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
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+    <g id="xtick_7">
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+      </g>
+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
+     <defs>
+      <path d="M 18.3125 70.21875  L 18.3125 54.6875  L 36.8125 54.6875  L 36.8125 47.703125  L 18.3125 47.703125  L 18.3125 18.015625  Q 18.3125 11.328125 20.140625 9.421875  Q 21.96875 7.515625 27.59375 7.515625  L 36.8125 7.515625  L 36.8125 0  L 27.59375 0  Q 17.1875 0 13.234375 3.875  Q 9.28125 7.765625 9.28125 18.015625  L 9.28125 47.703125  L 2.6875 47.703125  L 2.6875 54.6875  L 9.28125 54.6875  L 9.28125 70.21875  z " id="DejaVuSans-116"/>
+      <path d="M 2.984375 54.6875  L 12.5 54.6875  L 29.59375 8.796875  L 46.6875 54.6875  L 56.203125 54.6875  L 35.6875 0  L 23.484375 0  z " id="DejaVuSans-118"/>
+      <path d="M 9.421875 54.6875  L 18.40625 54.6875  L 18.40625 0  L 9.421875 0  z M 9.421875 75.984375  L 18.40625 75.984375  L 18.40625 64.59375  L 9.421875 64.59375  z " id="DejaVuSans-105"/>
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+   <g id="matplotlib.axis_2">
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+     <g id="text_8">
+      <!-- 0 -->
+      <g transform="translate(27.240625 218.985306)scale(0.1 -0.1)">
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+    <g id="ytick_2">
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+      <!-- 20 -->
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+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
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+    <g id="ytick_3">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
+      <g transform="translate(20.878125 129.99458)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="ytick_4">
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+     </g>
+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 85.499218)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    <g id="ytick_5">
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+      <g transform="translate(20.878125 41.003855)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-56"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
+      </g>
+     </g>
+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+      <path d="M 19.671875 64.796875  L 19.671875 37.40625  L 32.078125 37.40625  Q 38.96875 37.40625 42.71875 40.96875  Q 46.484375 44.53125 46.484375 51.125  Q 46.484375 57.671875 42.71875 61.234375  Q 38.96875 64.796875 32.078125 64.796875  z M 9.8125 72.90625  L 32.078125 72.90625  Q 44.34375 72.90625 50.609375 67.359375  Q 56.890625 61.8125 56.890625 51.125  Q 56.890625 40.328125 50.609375 34.8125  Q 44.34375 29.296875 32.078125 29.296875  L 19.671875 29.296875  L 19.671875 0  L 9.8125 0  z " id="DejaVuSans-80"/>
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+<h1 id="-"> <a class="anchor-link" href="#-">&#182;</a></h1><h2 id="Vaccination-rates-of-each-eligible-population-group,-according-to-demographic/clinical-features--">Vaccination rates of each eligible population group, according to demographic/clinical features  <a name="tables" /><a class="anchor-link" href="#Vaccination-rates-of-each-eligible-population-group,-according-to-demographic/clinical-features--">&#182;</a></h2>
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+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-80+-population">Cumulative vaccination figures among 80+ population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-80+-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
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+      <th></th>
+      <th></th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
+      <th>Total eligible</th>
+      <th>Previous week's vaccination coverage (%)</th>
+      <th>Vaccinated over last 7d (%)</th>
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+      <th>Category</th>
+      <th>Group</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
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+      <th>overall</th>
+      <th>overall</th>
+      <td>1075478</td>
+      <td>95.5</td>
+      <td>1125803</td>
+      <td>95.4</td>
+      <td>0.1</td>
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+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>622916</td>
+      <td>95.5</td>
+      <td>652596</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>M</th>
+      <td>452557</td>
+      <td>95.6</td>
+      <td>473200</td>
+      <td>95.5</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="3" valign="top">Age band</th>
+      <th>80-84</th>
+      <td>565299</td>
+      <td>95.8</td>
+      <td>589953</td>
+      <td>95.7</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>85-89</th>
+      <td>336427</td>
+      <td>95.7</td>
+      <td>351715</td>
+      <td>95.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>90+</th>
+      <td>173747</td>
+      <td>94.4</td>
+      <td>184128</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>8204</td>
+      <td>73.9</td>
+      <td>11102</td>
+      <td>73.3</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Mixed</th>
+      <td>2667</td>
+      <td>81.9</td>
+      <td>3255</td>
+      <td>81.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>5558</td>
+      <td>82.1</td>
+      <td>6769</td>
+      <td>81.8</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>South Asian</th>
+      <td>24493</td>
+      <td>85.8</td>
+      <td>28539</td>
+      <td>85.4</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>55594</td>
+      <td>86.2</td>
+      <td>64463</td>
+      <td>86.1</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>White</th>
+      <td>978964</td>
+      <td>96.8</td>
+      <td>1011675</td>
+      <td>96.6</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="17" valign="top">ethnicity 16 groups</th>
+      <th>African</th>
+      <td>1358</td>
+      <td>64.7</td>
+      <td>2100</td>
+      <td>64.0</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Bangladeshi or British Bangladeshi</th>
+      <td>1064</td>
+      <td>80.9</td>
+      <td>1316</td>
+      <td>79.8</td>
+      <td>1.1</td>
+    </tr>
+    <tr>
+      <th>Caribbean</th>
+      <td>5873</td>
+      <td>76.8</td>
+      <td>7651</td>
+      <td>76.3</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>Chinese</th>
+      <td>1344</td>
+      <td>79.0</td>
+      <td>1701</td>
+      <td>79.0</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>4207</td>
+      <td>83.0</td>
+      <td>5068</td>
+      <td>82.6</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>Other Asian</th>
+      <td>3647</td>
+      <td>82.7</td>
+      <td>4410</td>
+      <td>82.4</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>British or Mixed British</th>
+      <td>929978</td>
+      <td>97.0</td>
+      <td>958363</td>
+      <td>96.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>Indian or British Indian</th>
+      <td>13636</td>
+      <td>90.7</td>
+      <td>15036</td>
+      <td>90.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Irish</th>
+      <td>9198</td>
+      <td>94.5</td>
+      <td>9730</td>
+      <td>94.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other Black</th>
+      <td>966</td>
+      <td>71.5</td>
+      <td>1351</td>
+      <td>71.0</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>Other White</th>
+      <td>39760</td>
+      <td>91.3</td>
+      <td>43554</td>
+      <td>91.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other mixed</th>
+      <td>987</td>
+      <td>86.0</td>
+      <td>1148</td>
+      <td>86.0</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Pakistani or British Pakistani</th>
+      <td>6146</td>
+      <td>79.2</td>
+      <td>7763</td>
+      <td>78.5</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>55622</td>
+      <td>86.2</td>
+      <td>64491</td>
+      <td>86.1</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>White + Asian</th>
+      <td>469</td>
+      <td>87.0</td>
+      <td>539</td>
+      <td>87.0</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>White + Black African</th>
+      <td>266</td>
+      <td>71.7</td>
+      <td>371</td>
+      <td>69.8</td>
+      <td>1.9</td>
+    </tr>
+    <tr>
+      <th>White + Black Caribbean</th>
+      <td>959</td>
+      <td>79.7</td>
+      <td>1204</td>
+      <td>79.1</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>134603</td>
+      <td>92.1</td>
+      <td>146083</td>
+      <td>91.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>177814</td>
+      <td>94.3</td>
+      <td>188636</td>
+      <td>94.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>240765</td>
+      <td>95.9</td>
+      <td>251083</td>
+      <td>95.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>250369</td>
+      <td>96.5</td>
+      <td>259504</td>
+      <td>96.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>5 Least deprived</th>
+      <td>252952</td>
+      <td>97.1</td>
+      <td>260519</td>
+      <td>96.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>18977</td>
+      <td>95.0</td>
+      <td>19978</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>189518</td>
+      <td>96.7</td>
+      <td>195895</td>
+      <td>96.6</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>under 30</th>
+      <td>885955</td>
+      <td>95.3</td>
+      <td>929901</td>
+      <td>95.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
+      <th>no</th>
+      <td>750050</td>
+      <td>95.0</td>
+      <td>789124</td>
+      <td>94.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>325423</td>
+      <td>96.7</td>
+      <td>336672</td>
+      <td>96.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Current COPD</th>
+      <th>no</th>
+      <td>961667</td>
+      <td>95.4</td>
+      <td>1008035</td>
+      <td>95.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>113806</td>
+      <td>96.6</td>
+      <td>117761</td>
+      <td>96.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dialysis</th>
+      <th>no</th>
+      <td>1073478</td>
+      <td>95.5</td>
+      <td>1123724</td>
+      <td>95.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>1995</td>
+      <td>96.3</td>
+      <td>2072</td>
+      <td>95.9</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>1041649</td>
+      <td>95.5</td>
+      <td>1091069</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>33824</td>
+      <td>97.4</td>
+      <td>34727</td>
+      <td>97.3</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>985593</td>
+      <td>95.5</td>
+      <td>1031597</td>
+      <td>95.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>89880</td>
+      <td>95.4</td>
+      <td>94199</td>
+      <td>95.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>1067479</td>
+      <td>95.6</td>
+      <td>1117088</td>
+      <td>95.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>7994</td>
+      <td>91.8</td>
+      <td>8708</td>
+      <td>91.5</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Learning disability</th>
+      <th>no</th>
+      <td>1074962</td>
+      <td>95.5</td>
+      <td>1125250</td>
+      <td>95.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>511</td>
+      <td>93.6</td>
+      <td>546</td>
+      <td>92.3</td>
+      <td>1.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>1008378</td>
+      <td>95.4</td>
+      <td>1056797</td>
+      <td>95.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>67095</td>
+      <td>97.2</td>
+      <td>68999</td>
+      <td>97.1</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>1038674</td>
+      <td>95.5</td>
+      <td>1087905</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>36799</td>
+      <td>97.1</td>
+      <td>37891</td>
+      <td>97.0</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>1068144</td>
+      <td>95.5</td>
+      <td>1118187</td>
+      <td>95.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>7329</td>
+      <td>96.3</td>
+      <td>7609</td>
+      <td>96.2</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th>no</th>
+      <td>879942</td>
+      <td>95.2</td>
+      <td>924427</td>
+      <td>95.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>195531</td>
+      <td>97.1</td>
+      <td>201369</td>
+      <td>97.0</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>1055418</td>
+      <td>95.5</td>
+      <td>1105139</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>20055</td>
+      <td>97.1</td>
+      <td>20657</td>
+      <td>96.9</td>
+      <td>0.2</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<p><strong>Footnotes:</strong></p>
+<ul>
+<li>Patient counts rounded to the nearest 7</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-70-79-population">Cumulative vaccination figures among 70-79 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-70-79-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_html rendered_html output_subarea ">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
       <th></th>
       <th></th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
+      <th>Total eligible</th>
+      <th>Previous week's vaccination coverage (%)</th>
+      <th>Vaccinated over last 7d (%)</th>
+    </tr>
+    <tr>
+      <th>Category</th>
+      <th>Group</th>
+      <th></th>
       <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>overall</th>
+      <th>overall</th>
+      <td>1961767</td>
+      <td>94.9</td>
+      <td>2067072</td>
+      <td>94.8</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>1030218</td>
+      <td>95.1</td>
+      <td>1083635</td>
+      <td>94.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>M</th>
+      <td>931539</td>
+      <td>94.7</td>
+      <td>983430</td>
+      <td>94.6</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Age band</th>
+      <th>70-74</th>
+      <td>1134028</td>
+      <td>94.5</td>
+      <td>1200136</td>
+      <td>94.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>75-79</th>
+      <td>827729</td>
+      <td>95.5</td>
+      <td>866929</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>10388</td>
+      <td>70.8</td>
+      <td>14679</td>
+      <td>70.1</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Mixed</th>
+      <td>5236</td>
+      <td>81.3</td>
+      <td>6440</td>
+      <td>81.0</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>12096</td>
+      <td>79.0</td>
+      <td>15316</td>
+      <td>78.7</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>South Asian</th>
+      <td>47201</td>
+      <td>85.9</td>
+      <td>54936</td>
+      <td>85.5</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>129857</td>
+      <td>88.0</td>
+      <td>147483</td>
+      <td>87.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>White</th>
+      <td>1756979</td>
+      <td>96.1</td>
+      <td>1828211</td>
+      <td>96.0</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="17" valign="top">ethnicity 16 groups</th>
+      <th>African</th>
+      <td>3409</td>
+      <td>64.9</td>
+      <td>5250</td>
+      <td>64.1</td>
+      <td>0.8</td>
+    </tr>
+    <tr>
+      <th>Bangladeshi or British Bangladeshi</th>
+      <td>1533</td>
+      <td>84.9</td>
+      <td>1806</td>
+      <td>84.1</td>
+      <td>0.8</td>
+    </tr>
+    <tr>
+      <th>Caribbean</th>
+      <td>5187</td>
+      <td>74.5</td>
+      <td>6965</td>
+      <td>73.8</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Chinese</th>
+      <td>3178</td>
+      <td>78.3</td>
+      <td>4060</td>
+      <td>77.9</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>8918</td>
+      <td>79.2</td>
+      <td>11256</td>
+      <td>78.9</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other Asian</th>
+      <td>9261</td>
+      <td>83.0</td>
+      <td>11158</td>
+      <td>82.6</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>British or Mixed British</th>
+      <td>1670606</td>
+      <td>96.6</td>
+      <td>1729966</td>
+      <td>96.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Indian or British Indian</th>
+      <td>27251</td>
+      <td>89.8</td>
+      <td>30331</td>
+      <td>89.5</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Irish</th>
+      <td>14112</td>
+      <td>93.0</td>
+      <td>15176</td>
+      <td>92.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other Black</th>
+      <td>1799</td>
+      <td>73.0</td>
+      <td>2464</td>
+      <td>72.4</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Other White</th>
+      <td>72282</td>
+      <td>87.0</td>
+      <td>83083</td>
+      <td>86.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other mixed</th>
+      <td>2079</td>
+      <td>82.7</td>
+      <td>2513</td>
+      <td>82.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Pakistani or British Pakistani</th>
+      <td>9163</td>
+      <td>78.7</td>
+      <td>11641</td>
+      <td>78.1</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>129843</td>
+      <td>88.0</td>
+      <td>147469</td>
+      <td>87.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>White + Asian</th>
+      <td>1183</td>
+      <td>86.7</td>
+      <td>1365</td>
+      <td>86.7</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>White + Black African</th>
+      <td>805</td>
+      <td>75.2</td>
+      <td>1071</td>
+      <td>74.5</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>White + Black Caribbean</th>
+      <td>1155</td>
+      <td>77.8</td>
+      <td>1484</td>
+      <td>77.4</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>250719</td>
+      <td>91.8</td>
+      <td>273140</td>
+      <td>91.5</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>328860</td>
+      <td>93.7</td>
+      <td>351071</td>
+      <td>93.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>437850</td>
+      <td>95.2</td>
+      <td>460033</td>
+      <td>95.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>455728</td>
+      <td>95.8</td>
+      <td>475720</td>
+      <td>95.7</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>5 Least deprived</th>
+      <td>452662</td>
+      <td>96.5</td>
+      <td>468839</td>
+      <td>96.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>35938</td>
+      <td>93.9</td>
+      <td>38255</td>
+      <td>93.8</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>492471</td>
+      <td>96.3</td>
+      <td>511273</td>
+      <td>96.2</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>under 30</th>
+      <td>1469286</td>
+      <td>94.4</td>
+      <td>1555792</td>
+      <td>94.3</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
+      <th>no</th>
+      <td>1605926</td>
+      <td>94.7</td>
+      <td>1696646</td>
+      <td>94.5</td>
+      <td>0.2</td>
     </tr>
-  </thead>
-  <tbody>
     <tr>
-      <th>overall</th>
-      <th>overall</th>
-      <td>1074241</td>
-      <td>95.2</td>
-      <td>1128015</td>
-      <td>95.1</td>
+      <th>yes</th>
+      <td>355831</td>
+      <td>96.1</td>
+      <td>370419</td>
+      <td>95.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Current COPD</th>
+      <th>no</th>
+      <td>1772932</td>
+      <td>94.8</td>
+      <td>1870631</td>
+      <td>94.6</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>188825</td>
+      <td>96.1</td>
+      <td>196434</td>
+      <td>96.0</td>
       <td>0.1</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Sex</th>
-      <th>F</th>
-      <td>622076</td>
-      <td>95.1</td>
-      <td>653807</td>
-      <td>95.0</td>
+      <th rowspan="2" valign="top">Dialysis</th>
+      <th>no</th>
+      <td>1957865</td>
+      <td>94.9</td>
+      <td>2062984</td>
+      <td>94.8</td>
       <td>0.1</td>
     </tr>
     <tr>
-      <th>M</th>
-      <td>452158</td>
+      <th>yes</th>
+      <td>3892</td>
       <td>95.4</td>
-      <td>474208</td>
-      <td>95.2</td>
-      <td>0.2</td>
+      <td>4081</td>
+      <td>95.0</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th rowspan="3" valign="top">Age band</th>
-      <th>80-84</th>
-      <td>564375</td>
-      <td>95.5</td>
-      <td>590674</td>
-      <td>95.4</td>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>1891841</td>
+      <td>94.8</td>
+      <td>1995000</td>
+      <td>94.7</td>
       <td>0.1</td>
     </tr>
     <tr>
-      <th>85-89</th>
-      <td>336084</td>
-      <td>95.4</td>
-      <td>352464</td>
-      <td>95.2</td>
+      <th>yes</th>
+      <td>69923</td>
+      <td>97.0</td>
+      <td>72065</td>
+      <td>96.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>1920303</td>
+      <td>94.9</td>
+      <td>2023490</td>
+      <td>94.7</td>
       <td>0.2</td>
     </tr>
     <tr>
-      <th>90+</th>
-      <td>173775</td>
-      <td>94.0</td>
-      <td>184870</td>
-      <td>93.8</td>
+      <th>yes</th>
+      <td>41461</td>
+      <td>95.1</td>
+      <td>43575</td>
+      <td>94.9</td>
       <td>0.2</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>8113</td>
-      <td>73.0</td>
-      <td>11109</td>
-      <td>72.6</td>
-      <td>0.4</td>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>1943270</td>
+      <td>95.0</td>
+      <td>2046534</td>
+      <td>94.8</td>
+      <td>0.2</td>
     </tr>
     <tr>
-      <th>Mixed</th>
-      <td>2660</td>
-      <td>81.5</td>
-      <td>3262</td>
-      <td>81.1</td>
+      <th>yes</th>
+      <td>18494</td>
+      <td>90.1</td>
+      <td>20531</td>
+      <td>89.7</td>
       <td>0.4</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>5530</td>
-      <td>81.7</td>
-      <td>6769</td>
-      <td>81.3</td>
-      <td>0.4</td>
+      <th rowspan="2" valign="top">Learning disability</th>
+      <th>no</th>
+      <td>1958950</td>
+      <td>94.9</td>
+      <td>2064013</td>
+      <td>94.8</td>
+      <td>0.1</td>
     </tr>
     <tr>
-      <th>South Asian</th>
-      <td>24367</td>
-      <td>85.2</td>
-      <td>28595</td>
-      <td>84.8</td>
-      <td>0.4</td>
+      <th>yes</th>
+      <td>2807</td>
+      <td>92.0</td>
+      <td>3052</td>
+      <td>91.5</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>55930</td>
-      <td>85.7</td>
-      <td>65247</td>
-      <td>85.6</td>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>1811775</td>
+      <td>94.7</td>
+      <td>1912274</td>
+      <td>94.6</td>
       <td>0.1</td>
     </tr>
     <tr>
-      <th>White</th>
-      <td>977634</td>
-      <td>96.5</td>
-      <td>1013026</td>
-      <td>96.4</td>
+      <th>yes</th>
+      <td>149989</td>
+      <td>96.9</td>
+      <td>154791</td>
+      <td>96.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>1894592</td>
+      <td>94.8</td>
+      <td>1997702</td>
+      <td>94.7</td>
       <td>0.1</td>
     </tr>
     <tr>
-      <th rowspan="17" valign="top">ethnicity 16 groups</th>
-      <th>African</th>
-      <td>1344</td>
-      <td>63.8</td>
-      <td>2107</td>
-      <td>63.1</td>
-      <td>0.7</td>
+      <th>yes</th>
+      <td>67165</td>
+      <td>96.8</td>
+      <td>69363</td>
+      <td>96.7</td>
+      <td>0.1</td>
     </tr>
     <tr>
-      <th>Bangladeshi or British Bangladeshi</th>
-      <td>1050</td>
-      <td>79.8</td>
-      <td>1316</td>
-      <td>79.3</td>
-      <td>0.5</td>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>1949619</td>
+      <td>94.9</td>
+      <td>2054395</td>
+      <td>94.7</td>
+      <td>0.2</td>
     </tr>
     <tr>
-      <th>Caribbean</th>
-      <td>5824</td>
-      <td>76.1</td>
-      <td>7658</td>
-      <td>75.6</td>
-      <td>0.5</td>
+      <th>yes</th>
+      <td>12138</td>
+      <td>95.8</td>
+      <td>12670</td>
+      <td>95.6</td>
+      <td>0.2</td>
     </tr>
     <tr>
-      <th>Chinese</th>
-      <td>1344</td>
-      <td>78.7</td>
-      <td>1708</td>
-      <td>78.7</td>
-      <td>0.0</td>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th>no</th>
+      <td>1685040</td>
+      <td>94.6</td>
+      <td>1781052</td>
+      <td>94.5</td>
+      <td>0.1</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>4193</td>
-      <td>82.7</td>
-      <td>5068</td>
-      <td>82.2</td>
-      <td>0.5</td>
+      <th>yes</th>
+      <td>276717</td>
+      <td>96.7</td>
+      <td>286013</td>
+      <td>96.6</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>1932420</td>
+      <td>94.9</td>
+      <td>2036671</td>
+      <td>94.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>29344</td>
+      <td>96.5</td>
+      <td>30394</td>
+      <td>96.4</td>
+      <td>0.1</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<p><strong>Footnotes:</strong></p>
+<ul>
+<li>Patient counts rounded to the nearest 7</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-care-home-population">Cumulative vaccination figures among care home population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-care-home-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_html rendered_html output_subarea ">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th></th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
+      <th>Total eligible</th>
+      <th>Previous week's vaccination coverage (%)</th>
+      <th>Vaccinated over last 7d (%)</th>
     </tr>
     <tr>
-      <th>Other Asian</th>
-      <td>3633</td>
-      <td>82.1</td>
-      <td>4424</td>
-      <td>81.5</td>
-      <td>0.6</td>
+      <th>Category</th>
+      <th>Group</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
     </tr>
+  </thead>
+  <tbody>
     <tr>
-      <th>British or Mixed British</th>
-      <td>928795</td>
-      <td>96.8</td>
-      <td>959644</td>
-      <td>96.7</td>
-      <td>0.1</td>
+      <th>overall</th>
+      <th>overall</th>
+      <td>79702</td>
+      <td>95.3</td>
+      <td>83615</td>
+      <td>94.9</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th>Indian or British Indian</th>
-      <td>13594</td>
-      <td>90.3</td>
-      <td>15057</td>
-      <td>90.0</td>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>56749</td>
+      <td>95.6</td>
+      <td>59332</td>
+      <td>95.3</td>
       <td>0.3</td>
     </tr>
     <tr>
-      <th>Irish</th>
-      <td>9170</td>
-      <td>94.2</td>
-      <td>9730</td>
+      <th>M</th>
+      <td>22953</td>
+      <td>94.5</td>
+      <td>24283</td>
       <td>94.0</td>
-      <td>0.2</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Other Black</th>
-      <td>952</td>
-      <td>70.5</td>
-      <td>1351</td>
-      <td>69.9</td>
+      <th rowspan="6" valign="top">Age band</th>
+      <th>65-69</th>
+      <td>4312</td>
+      <td>91.5</td>
+      <td>4711</td>
+      <td>90.9</td>
       <td>0.6</td>
     </tr>
     <tr>
-      <th>Other White</th>
-      <td>39697</td>
-      <td>90.9</td>
-      <td>43673</td>
-      <td>90.7</td>
-      <td>0.2</td>
+      <th>70-74</th>
+      <td>6671</td>
+      <td>93.1</td>
+      <td>7168</td>
+      <td>92.5</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th>Other mixed</th>
-      <td>973</td>
-      <td>85.3</td>
-      <td>1141</td>
-      <td>85.3</td>
-      <td>0.0</td>
+      <th>75-79</th>
+      <td>9240</td>
+      <td>94.6</td>
+      <td>9772</td>
+      <td>94.1</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Pakistani or British Pakistani</th>
-      <td>6090</td>
-      <td>78.1</td>
-      <td>7798</td>
-      <td>77.4</td>
-      <td>0.7</td>
+      <th>80-84</th>
+      <td>13860</td>
+      <td>95.7</td>
+      <td>14490</td>
+      <td>95.2</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>55909</td>
-      <td>85.7</td>
-      <td>65226</td>
-      <td>85.6</td>
-      <td>0.1</td>
+      <th>85-89</th>
+      <td>18641</td>
+      <td>96.1</td>
+      <td>19404</td>
+      <td>95.7</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th>White + Asian</th>
+      <th>90+</th>
+      <td>26978</td>
+      <td>96.1</td>
+      <td>28063</td>
+      <td>95.8</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>392</td>
+      <td>84.8</td>
       <td>462</td>
-      <td>85.7</td>
-      <td>539</td>
-      <td>85.7</td>
-      <td>0.0</td>
+      <td>83.3</td>
+      <td>1.5</td>
     </tr>
     <tr>
-      <th>White + Black African</th>
-      <td>259</td>
-      <td>69.8</td>
-      <td>371</td>
-      <td>69.8</td>
+      <th>Mixed</th>
+      <td>203</td>
+      <td>90.6</td>
+      <td>224</td>
+      <td>90.6</td>
       <td>0.0</td>
     </tr>
     <tr>
-      <th>White + Black Caribbean</th>
-      <td>952</td>
-      <td>78.6</td>
-      <td>1211</td>
-      <td>78.6</td>
+      <th>Other</th>
+      <td>343</td>
+      <td>92.5</td>
+      <td>371</td>
+      <td>92.5</td>
       <td>0.0</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
-      <th>1 Most deprived</th>
-      <td>134295</td>
+      <th>South Asian</th>
+      <td>616</td>
       <td>91.7</td>
-      <td>146440</td>
-      <td>91.5</td>
-      <td>0.2</td>
+      <td>672</td>
+      <td>90.6</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th>2</th>
-      <td>177646</td>
-      <td>93.9</td>
-      <td>189112</td>
-      <td>93.8</td>
-      <td>0.1</td>
+      <th>Unknown</th>
+      <td>2030</td>
+      <td>93.2</td>
+      <td>2177</td>
+      <td>92.9</td>
+      <td>0.3</td>
     </tr>
     <tr>
-      <th>3</th>
-      <td>240506</td>
-      <td>95.6</td>
-      <td>251566</td>
+      <th>White</th>
+      <td>76111</td>
       <td>95.5</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>250194</td>
-      <td>96.2</td>
-      <td>260008</td>
-      <td>96.1</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>5 Least deprived</th>
-      <td>252728</td>
-      <td>96.8</td>
-      <td>260967</td>
-      <td>96.8</td>
-      <td>0.0</td>
+      <td>79709</td>
+      <td>95.1</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>18872</td>
-      <td>94.7</td>
-      <td>19922</td>
-      <td>94.6</td>
-      <td>0.1</td>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>36036</td>
+      <td>94.1</td>
+      <td>38290</td>
+      <td>93.5</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">BMI</th>
-      <th>30+</th>
-      <td>189350</td>
-      <td>96.5</td>
-      <td>196294</td>
+      <th>yes</th>
+      <td>43666</td>
       <td>96.3</td>
-      <td>0.2</td>
+      <td>45332</td>
+      <td>96.0</td>
+      <td>0.3</td>
     </tr>
-    <tr>
-      <th>under 30</th>
-      <td>884884</td>
-      <td>95.0</td>
-      <td>931721</td>
-      <td>94.8</td>
-      <td>0.2</td>
+  </tbody>
+</table>
+</div>
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<p><strong>Footnotes:</strong></p>
+<ul>
+<li>Patient counts rounded to the nearest 7</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>Population includes those known to live in an elderly care home, based upon clinical coding.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-shielding-(aged-16-69)-population">Cumulative vaccination figures among shielding (aged 16-69) population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-shielding-(aged-16-69)-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_html rendered_html output_subarea ">
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th></th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
+      <th>Total eligible</th>
+      <th>Previous week's vaccination coverage (%)</th>
+      <th>Vaccinated over last 7d (%)</th>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Chronic cardiac disease</th>
-      <th>no</th>
-      <td>749427</td>
-      <td>94.8</td>
-      <td>790951</td>
-      <td>94.6</td>
-      <td>0.2</td>
+      <th>Category</th>
+      <th>Group</th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
+      <th></th>
     </tr>
+  </thead>
+  <tbody>
     <tr>
-      <th>yes</th>
-      <td>324807</td>
-      <td>96.4</td>
-      <td>337064</td>
-      <td>96.2</td>
-      <td>0.2</td>
+      <th>overall</th>
+      <th>overall</th>
+      <td>708558</td>
+      <td>85.9</td>
+      <td>824432</td>
+      <td>84.8</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Current COPD</th>
-      <th>no</th>
-      <td>960582</td>
-      <td>95.1</td>
-      <td>1010016</td>
-      <td>95.0</td>
-      <td>0.1</td>
+      <th rowspan="2" valign="top">newly shielded since feb 15</th>
+      <th>no</th>
+      <td>452249</td>
+      <td>89.9</td>
+      <td>502831</td>
+      <td>89.4</td>
+      <td>0.5</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>113659</td>
-      <td>96.3</td>
-      <td>117999</td>
-      <td>96.2</td>
-      <td>0.1</td>
+      <td>256305</td>
+      <td>79.7</td>
+      <td>321601</td>
+      <td>77.7</td>
+      <td>2.0</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Dialysis</th>
-      <th>no</th>
-      <td>1072239</td>
-      <td>95.2</td>
-      <td>1125929</td>
-      <td>95.1</td>
-      <td>0.1</td>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>393687</td>
+      <td>85.1</td>
+      <td>462644</td>
+      <td>83.9</td>
+      <td>1.2</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>1995</td>
-      <td>96.0</td>
-      <td>2079</td>
-      <td>95.6</td>
-      <td>0.4</td>
+      <th>M</th>
+      <td>314860</td>
+      <td>87.0</td>
+      <td>361774</td>
+      <td>86.0</td>
+      <td>1.0</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">DMARDs</th>
-      <th>no</th>
-      <td>1040438</td>
-      <td>95.2</td>
-      <td>1093225</td>
-      <td>95.0</td>
-      <td>0.2</td>
+      <th rowspan="5" valign="top">Age band</th>
+      <th>16-29</th>
+      <td>50974</td>
+      <td>74.1</td>
+      <td>68810</td>
+      <td>72.4</td>
+      <td>1.7</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>33796</td>
-      <td>97.2</td>
-      <td>34783</td>
-      <td>97.0</td>
-      <td>0.2</td>
+      <th>30-39</th>
+      <td>96369</td>
+      <td>76.2</td>
+      <td>126413</td>
+      <td>74.5</td>
+      <td>1.7</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>984788</td>
-      <td>95.3</td>
-      <td>1033865</td>
-      <td>95.1</td>
-      <td>0.2</td>
+      <th>40-49</th>
+      <td>138593</td>
+      <td>83.9</td>
+      <td>165200</td>
+      <td>82.4</td>
+      <td>1.5</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>89446</td>
-      <td>95.0</td>
-      <td>94150</td>
-      <td>94.8</td>
-      <td>0.2</td>
+      <th>50-59</th>
+      <td>202643</td>
+      <td>89.2</td>
+      <td>227164</td>
+      <td>88.3</td>
+      <td>0.9</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
-      <th>no</th>
-      <td>1066289</td>
-      <td>95.3</td>
-      <td>1119300</td>
-      <td>95.1</td>
-      <td>0.2</td>
+      <th>60-69</th>
+      <td>219961</td>
+      <td>92.9</td>
+      <td>236831</td>
+      <td>92.4</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>7945</td>
-      <td>91.2</td>
-      <td>8715</td>
-      <td>90.8</td>
-      <td>0.4</td>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>29106</td>
+      <td>65.4</td>
+      <td>44478</td>
+      <td>63.2</td>
+      <td>2.2</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>1073723</td>
-      <td>95.2</td>
-      <td>1127462</td>
-      <td>95.1</td>
-      <td>0.1</td>
+      <th>Mixed</th>
+      <td>10276</td>
+      <td>72.2</td>
+      <td>14238</td>
+      <td>70.4</td>
+      <td>1.8</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>511</td>
-      <td>92.4</td>
-      <td>553</td>
-      <td>92.4</td>
-      <td>0.0</td>
+      <th>Other</th>
+      <td>13111</td>
+      <td>72.3</td>
+      <td>18130</td>
+      <td>70.7</td>
+      <td>1.6</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
-      <th>no</th>
-      <td>1007279</td>
-      <td>95.1</td>
-      <td>1058946</td>
-      <td>95.0</td>
-      <td>0.1</td>
+      <th>South Asian</th>
+      <td>84483</td>
+      <td>78.1</td>
+      <td>108227</td>
+      <td>75.9</td>
+      <td>2.2</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>66955</td>
-      <td>96.9</td>
-      <td>69069</td>
-      <td>96.8</td>
-      <td>0.1</td>
+      <th>Unknown</th>
+      <td>27636</td>
+      <td>84.0</td>
+      <td>32886</td>
+      <td>82.7</td>
+      <td>1.3</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
-      <th>no</th>
-      <td>1037463</td>
-      <td>95.2</td>
-      <td>1090068</td>
-      <td>95.0</td>
-      <td>0.2</td>
+      <th>White</th>
+      <td>543935</td>
+      <td>89.7</td>
+      <td>606459</td>
+      <td>88.9</td>
+      <td>0.8</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>36771</td>
-      <td>96.9</td>
-      <td>37947</td>
-      <td>96.7</td>
-      <td>0.2</td>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>196616</td>
+      <td>80.6</td>
+      <td>243915</td>
+      <td>79.2</td>
+      <td>1.4</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (lung)</th>
-      <th>no</th>
-      <td>1066898</td>
-      <td>95.2</td>
-      <td>1120378</td>
-      <td>95.1</td>
-      <td>0.1</td>
+      <th>2</th>
+      <td>158109</td>
+      <td>84.7</td>
+      <td>186613</td>
+      <td>83.6</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>7336</td>
-      <td>96.1</td>
-      <td>7637</td>
-      <td>96.0</td>
-      <td>0.1</td>
+      <th>3</th>
+      <td>137718</td>
+      <td>88.0</td>
+      <td>156422</td>
+      <td>87.1</td>
+      <td>0.9</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
-      <th>no</th>
-      <td>878976</td>
-      <td>94.9</td>
-      <td>926443</td>
-      <td>94.7</td>
-      <td>0.2</td>
+      <th>4</th>
+      <td>110859</td>
+      <td>90.5</td>
+      <td>122521</td>
+      <td>89.6</td>
+      <td>0.9</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>195258</td>
-      <td>96.9</td>
-      <td>201565</td>
-      <td>96.7</td>
-      <td>0.2</td>
+      <th>5 Least deprived</th>
+      <td>88298</td>
+      <td>92.8</td>
+      <td>95186</td>
+      <td>92.1</td>
+      <td>0.7</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>Unknown</th>
+      <td>16947</td>
+      <td>85.8</td>
+      <td>19761</td>
+      <td>84.5</td>
+      <td>1.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Learning disability</th>
       <th>no</th>
-      <td>1054193</td>
-      <td>95.2</td>
-      <td>1107316</td>
-      <td>95.1</td>
-      <td>0.1</td>
+      <td>684621</td>
+      <td>85.8</td>
+      <td>797629</td>
+      <td>84.7</td>
+      <td>1.1</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>20041</td>
-      <td>96.8</td>
-      <td>20699</td>
-      <td>96.7</td>
-      <td>0.1</td>
+      <td>23926</td>
+      <td>89.3</td>
+      <td>26789</td>
+      <td>88.2</td>
+      <td>1.1</td>
     </tr>
   </tbody>
 </table>
@@ -36846,19 +41793,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 <div class="output_markdown rendered_html output_subarea ">
 <ul>
-<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
+<li>Population excludes those over 65 known to live in an elderly care home, based upon clinical coding.</li>
 </ul>
 
 </div>
@@ -36869,7 +41804,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-70-79-population">Cumulative vaccination figures among 70-79 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-70-79-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-65-69-population">Cumulative vaccination figures among 65-69 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-65-69-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
 
 </div>
 
@@ -36898,8 +41833,8 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -36918,736 +41853,467 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>1958167</td>
-      <td>94.7</td>
-      <td>2068206</td>
-      <td>94.5</td>
-      <td>0.2</td>
+      <td>983250</td>
+      <td>91.8</td>
+      <td>1071581</td>
+      <td>91.2</td>
+      <td>0.6</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>1028279</td>
-      <td>94.9</td>
-      <td>1084097</td>
-      <td>94.7</td>
-      <td>0.2</td>
+      <td>505925</td>
+      <td>92.4</td>
+      <td>547463</td>
+      <td>92.0</td>
+      <td>0.4</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>929887</td>
-      <td>94.5</td>
-      <td>984102</td>
-      <td>94.3</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Age band</th>
-      <th>70-74</th>
-      <td>1131725</td>
-      <td>94.3</td>
-      <td>1200647</td>
-      <td>94.1</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th>75-79</th>
-      <td>826441</td>
-      <td>95.3</td>
-      <td>867552</td>
-      <td>95.1</td>
-      <td>0.2</td>
+      <td>477316</td>
+      <td>91.1</td>
+      <td>524104</td>
+      <td>90.5</td>
+      <td>0.6</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>10262</td>
-      <td>69.8</td>
-      <td>14693</td>
-      <td>69.2</td>
-      <td>0.6</td>
+      <td>7231</td>
+      <td>67.1</td>
+      <td>10780</td>
+      <td>65.6</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>5187</td>
-      <td>80.9</td>
-      <td>6412</td>
-      <td>80.3</td>
-      <td>0.6</td>
+      <td>3745</td>
+      <td>76.4</td>
+      <td>4900</td>
+      <td>75.6</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>11998</td>
-      <td>78.7</td>
-      <td>15253</td>
-      <td>78.2</td>
-      <td>0.5</td>
+      <td>8708</td>
+      <td>73.5</td>
+      <td>11851</td>
+      <td>72.5</td>
+      <td>1.0</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>46928</td>
-      <td>85.4</td>
-      <td>54943</td>
-      <td>84.9</td>
-      <td>0.5</td>
+      <td>36190</td>
+      <td>83.5</td>
+      <td>43323</td>
+      <td>82.6</td>
+      <td>0.9</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>130277</td>
-      <td>87.6</td>
-      <td>148645</td>
-      <td>87.4</td>
-      <td>0.2</td>
+      <td>85659</td>
+      <td>83.5</td>
+      <td>102641</td>
+      <td>82.7</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>1753514</td>
-      <td>95.9</td>
-      <td>1828253</td>
-      <td>95.8</td>
-      <td>0.1</td>
+      <td>841715</td>
+      <td>93.7</td>
+      <td>898079</td>
+      <td>93.3</td>
+      <td>0.4</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
-      <th>African</th>
-      <td>3374</td>
-      <td>64.0</td>
-      <td>5271</td>
-      <td>63.2</td>
-      <td>0.8</td>
+      <th>African</th>
+      <td>2758</td>
+      <td>64.4</td>
+      <td>4284</td>
+      <td>62.9</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>1519</td>
-      <td>84.1</td>
-      <td>1806</td>
-      <td>83.3</td>
+      <td>1470</td>
+      <td>85.7</td>
+      <td>1715</td>
+      <td>84.9</td>
       <td>0.8</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>5124</td>
-      <td>73.6</td>
-      <td>6965</td>
-      <td>73.0</td>
-      <td>0.6</td>
+      <td>3038</td>
+      <td>67.7</td>
+      <td>4487</td>
+      <td>66.0</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>3164</td>
-      <td>77.9</td>
-      <td>4060</td>
-      <td>77.6</td>
-      <td>0.3</td>
+      <td>2828</td>
+      <td>74.7</td>
+      <td>3787</td>
+      <td>73.8</td>
+      <td>0.9</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>8820</td>
-      <td>78.9</td>
-      <td>11179</td>
-      <td>78.4</td>
-      <td>0.5</td>
+      <td>5887</td>
+      <td>72.9</td>
+      <td>8071</td>
+      <td>71.9</td>
+      <td>1.0</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>9212</td>
-      <td>82.5</td>
-      <td>11165</td>
-      <td>82.1</td>
-      <td>0.4</td>
+      <td>6664</td>
+      <td>82.3</td>
+      <td>8099</td>
+      <td>81.4</td>
+      <td>0.9</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>1667400</td>
-      <td>96.4</td>
-      <td>1729952</td>
-      <td>96.3</td>
-      <td>0.1</td>
+      <td>797034</td>
+      <td>94.8</td>
+      <td>840721</td>
+      <td>94.4</td>
+      <td>0.4</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>27139</td>
-      <td>89.5</td>
-      <td>30338</td>
-      <td>89.1</td>
-      <td>0.4</td>
+      <td>19978</td>
+      <td>87.7</td>
+      <td>22771</td>
+      <td>87.2</td>
+      <td>0.5</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>14070</td>
-      <td>92.7</td>
-      <td>15183</td>
-      <td>92.5</td>
-      <td>0.2</td>
+      <td>5838</td>
+      <td>89.5</td>
+      <td>6524</td>
+      <td>89.1</td>
+      <td>0.4</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>1764</td>
+      <td>1442</td>
       <td>71.8</td>
-      <td>2457</td>
-      <td>71.5</td>
-      <td>0.3</td>
+      <td>2009</td>
+      <td>70.7</td>
+      <td>1.1</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>72065</td>
-      <td>86.7</td>
-      <td>83139</td>
-      <td>86.4</td>
-      <td>0.3</td>
+      <td>38822</td>
+      <td>76.4</td>
+      <td>50799</td>
+      <td>75.7</td>
+      <td>0.7</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>2065</td>
-      <td>82.4</td>
-      <td>2506</td>
-      <td>81.8</td>
-      <td>0.6</td>
+      <td>1449</td>
+      <td>76.7</td>
+      <td>1890</td>
+      <td>75.9</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>9058</td>
-      <td>77.8</td>
-      <td>11641</td>
-      <td>77.0</td>
-      <td>0.8</td>
+      <td>8078</td>
+      <td>75.1</td>
+      <td>10752</td>
+      <td>73.6</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>130263</td>
-      <td>87.6</td>
-      <td>148631</td>
-      <td>87.5</td>
-      <td>0.1</td>
+      <td>85666</td>
+      <td>83.5</td>
+      <td>102648</td>
+      <td>82.7</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>1176</td>
-      <td>86.6</td>
-      <td>1358</td>
-      <td>86.6</td>
-      <td>0.0</td>
+      <td>861</td>
+      <td>84.8</td>
+      <td>1015</td>
+      <td>84.1</td>
+      <td>0.7</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>798</td>
-      <td>74.5</td>
-      <td>1071</td>
-      <td>73.9</td>
-      <td>0.6</td>
+      <td>616</td>
+      <td>69.8</td>
+      <td>882</td>
+      <td>69.0</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>1148</td>
-      <td>77.4</td>
-      <td>1484</td>
-      <td>76.9</td>
-      <td>0.5</td>
+      <td>819</td>
+      <td>73.1</td>
+      <td>1120</td>
+      <td>72.5</td>
+      <td>0.6</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>250012</td>
-      <td>91.4</td>
-      <td>273420</td>
-      <td>91.2</td>
-      <td>0.2</td>
+      <td>132545</td>
+      <td>86.6</td>
+      <td>153111</td>
+      <td>85.7</td>
+      <td>0.9</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>328153</td>
-      <td>93.4</td>
-      <td>351344</td>
-      <td>93.2</td>
-      <td>0.2</td>
+      <td>169547</td>
+      <td>90.0</td>
+      <td>188482</td>
+      <td>89.3</td>
+      <td>0.7</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>437122</td>
-      <td>95.0</td>
-      <td>460278</td>
-      <td>94.8</td>
-      <td>0.2</td>
+      <td>218302</td>
+      <td>92.2</td>
+      <td>236740</td>
+      <td>91.7</td>
+      <td>0.5</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>455126</td>
-      <td>95.6</td>
-      <td>476000</td>
-      <td>95.5</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>5 Least deprived</th>
-      <td>452032</td>
-      <td>96.4</td>
-      <td>469035</td>
-      <td>96.3</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>Unknown</th>
-      <td>35721</td>
-      <td>93.7</td>
-      <td>38122</td>
-      <td>93.6</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">BMI</th>
-      <th>30+</th>
-      <td>491701</td>
-      <td>96.1</td>
-      <td>511595</td>
-      <td>96.0</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>under 30</th>
-      <td>1466458</td>
-      <td>94.2</td>
-      <td>1556604</td>
-      <td>94.1</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Chronic cardiac disease</th>
-      <th>no</th>
-      <td>1603420</td>
-      <td>94.4</td>
-      <td>1697976</td>
-      <td>94.3</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>354746</td>
-      <td>95.8</td>
-      <td>370223</td>
-      <td>95.7</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Current COPD</th>
-      <th>no</th>
-      <td>1769733</td>
-      <td>94.6</td>
-      <td>1871660</td>
-      <td>94.4</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>188426</td>
-      <td>95.9</td>
-      <td>196539</td>
-      <td>95.7</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dialysis</th>
-      <th>no</th>
-      <td>1954274</td>
-      <td>94.7</td>
-      <td>2064111</td>
-      <td>94.5</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>3885</td>
-      <td>95.0</td>
-      <td>4088</td>
-      <td>94.7</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">DMARDs</th>
-      <th>no</th>
-      <td>1888418</td>
-      <td>94.6</td>
-      <td>1996134</td>
-      <td>94.5</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>69748</td>
-      <td>96.8</td>
-      <td>72065</td>
-      <td>96.6</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>1916964</td>
-      <td>94.7</td>
-      <td>2024708</td>
-      <td>94.5</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>41202</td>
-      <td>94.7</td>
-      <td>43491</td>
-      <td>94.4</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
-      <th>no</th>
-      <td>1939784</td>
-      <td>94.7</td>
-      <td>2047668</td>
-      <td>94.6</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>18382</td>
-      <td>89.5</td>
-      <td>20531</td>
-      <td>89.2</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>1955359</td>
-      <td>94.7</td>
-      <td>2065133</td>
-      <td>94.5</td>
-      <td>0.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>2800</td>
-      <td>91.3</td>
-      <td>3066</td>
-      <td>90.4</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
-      <th>no</th>
-      <td>1808597</td>
-      <td>94.5</td>
-      <td>1913471</td>
-      <td>94.4</td>
-      <td>0.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>149569</td>
-      <td>96.7</td>
-      <td>154728</td>
-      <td>96.5</td>
-      <td>0.2</td>
+      <td>223496</td>
+      <td>93.3</td>
+      <td>239449</td>
+      <td>92.9</td>
+      <td>0.4</td>
     </tr>
-    <tr>
-      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
-      <th>no</th>
-      <td>1891134</td>
+    <tr>
+      <th>5 Least deprived</th>
+      <td>219548</td>
       <td>94.6</td>
-      <td>1998843</td>
-      <td>94.5</td>
-      <td>0.1</td>
+      <td>232071</td>
+      <td>94.3</td>
+      <td>0.3</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>67025</td>
-      <td>96.6</td>
-      <td>69356</td>
-      <td>96.5</td>
-      <td>0.1</td>
+      <th>Unknown</th>
+      <td>19810</td>
+      <td>91.2</td>
+      <td>21721</td>
+      <td>90.7</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (lung)</th>
-      <th>no</th>
-      <td>1946084</td>
-      <td>94.7</td>
-      <td>2055543</td>
-      <td>94.5</td>
-      <td>0.2</td>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>252483</td>
+      <td>94.3</td>
+      <td>267771</td>
+      <td>93.8</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>12082</td>
-      <td>95.5</td>
-      <td>12656</td>
-      <td>95.2</td>
-      <td>0.3</td>
+      <th>under 30</th>
+      <td>730765</td>
+      <td>90.9</td>
+      <td>803796</td>
+      <td>90.4</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>1682135</td>
-      <td>94.4</td>
-      <td>1782305</td>
-      <td>94.2</td>
-      <td>0.2</td>
+      <td>879340</td>
+      <td>91.5</td>
+      <td>960561</td>
+      <td>91.0</td>
+      <td>0.5</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>276031</td>
-      <td>96.6</td>
-      <td>285894</td>
-      <td>96.4</td>
-      <td>0.2</td>
+      <td>103908</td>
+      <td>93.6</td>
+      <td>111013</td>
+      <td>93.1</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>1928899</td>
-      <td>94.7</td>
-      <td>2037819</td>
-      <td>94.5</td>
-      <td>0.2</td>
+      <td>945343</td>
+      <td>91.7</td>
+      <td>1030953</td>
+      <td>91.2</td>
+      <td>0.5</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>29260</td>
-      <td>96.3</td>
-      <td>30380</td>
-      <td>96.2</td>
-      <td>0.1</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<p><strong>Footnotes:</strong></p>
-<ul>
-<li>Patient counts rounded to the nearest 7</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-care-home-population">Cumulative vaccination figures among care home population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-care-home-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_html rendered_html output_subarea ">
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
-      <th>Total eligible</th>
-      <th>Previous week's vaccination coverage (%)</th>
-      <th>Vaccinated over last 7d (%)</th>
+      <td>37905</td>
+      <td>93.3</td>
+      <td>40621</td>
+      <td>92.8</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Category</th>
-      <th>Group</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>964425</td>
+      <td>91.7</td>
+      <td>1051792</td>
+      <td>91.2</td>
+      <td>0.5</td>
     </tr>
-  </thead>
-  <tbody>
     <tr>
-      <th>overall</th>
-      <th>overall</th>
-      <td>79068</td>
-      <td>94.7</td>
-      <td>83510</td>
-      <td>94.3</td>
+      <th>yes</th>
+      <td>18823</td>
+      <td>95.2</td>
+      <td>19782</td>
+      <td>94.8</td>
       <td>0.4</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Sex</th>
-      <th>F</th>
-      <td>56364</td>
-      <td>95.1</td>
-      <td>59283</td>
-      <td>94.8</td>
-      <td>0.3</td>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>978082</td>
+      <td>91.8</td>
+      <td>1065946</td>
+      <td>91.2</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th>M</th>
-      <td>22701</td>
-      <td>93.7</td>
-      <td>24227</td>
-      <td>93.2</td>
+      <th>yes</th>
+      <td>5166</td>
+      <td>91.8</td>
+      <td>5628</td>
+      <td>91.3</td>
       <td>0.5</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Age band</th>
-      <th>65-69</th>
-      <td>4249</td>
-      <td>90.6</td>
-      <td>4690</td>
-      <td>89.7</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>70-74</th>
-      <td>6587</td>
-      <td>92.3</td>
-      <td>7140</td>
-      <td>91.6</td>
-      <td>0.7</td>
-    </tr>
-    <tr>
-      <th>75-79</th>
-      <td>9107</td>
-      <td>93.9</td>
-      <td>9702</td>
-      <td>93.4</td>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>973350</td>
+      <td>91.8</td>
+      <td>1059919</td>
+      <td>91.3</td>
       <td>0.5</td>
     </tr>
     <tr>
-      <th>80-84</th>
-      <td>13734</td>
-      <td>95.0</td>
-      <td>14455</td>
-      <td>94.6</td>
-      <td>0.4</td>
+      <th>yes</th>
+      <td>9898</td>
+      <td>85.0</td>
+      <td>11648</td>
+      <td>84.0</td>
+      <td>1.0</td>
     </tr>
     <tr>
-      <th>85-89</th>
-      <td>18508</td>
-      <td>95.5</td>
-      <td>19390</td>
-      <td>95.2</td>
-      <td>0.3</td>
+      <th rowspan="2" valign="top">Learning disability</th>
+      <th>no</th>
+      <td>981001</td>
+      <td>91.8</td>
+      <td>1069047</td>
+      <td>91.3</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>90+</th>
-      <td>26880</td>
-      <td>95.6</td>
-      <td>28126</td>
-      <td>95.3</td>
-      <td>0.3</td>
+      <th>yes</th>
+      <td>2247</td>
+      <td>89.2</td>
+      <td>2520</td>
+      <td>87.8</td>
+      <td>1.4</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>385</td>
-      <td>84.6</td>
-      <td>455</td>
-      <td>83.1</td>
-      <td>1.5</td>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>897085</td>
+      <td>91.5</td>
+      <td>980644</td>
+      <td>91.0</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>Mixed</th>
-      <td>196</td>
-      <td>87.5</td>
-      <td>224</td>
-      <td>87.5</td>
-      <td>0.0</td>
+      <th>yes</th>
+      <td>86163</td>
+      <td>94.8</td>
+      <td>90923</td>
+      <td>94.2</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>343</td>
-      <td>92.5</td>
-      <td>371</td>
-      <td>90.6</td>
-      <td>1.9</td>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>964530</td>
+      <td>91.7</td>
+      <td>1051890</td>
+      <td>91.2</td>
+      <td>0.5</td>
     </tr>
     <tr>
-      <th>South Asian</th>
-      <td>616</td>
-      <td>90.7</td>
-      <td>679</td>
-      <td>89.7</td>
-      <td>1.0</td>
+      <th>yes</th>
+      <td>18711</td>
+      <td>95.1</td>
+      <td>19684</td>
+      <td>94.7</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>2044</td>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>981610</td>
+      <td>91.8</td>
+      <td>1069796</td>
       <td>91.2</td>
-      <td>2240</td>
-      <td>90.6</td>
       <td>0.6</td>
     </tr>
     <tr>
-      <th>White</th>
-      <td>75488</td>
-      <td>94.9</td>
-      <td>79541</td>
-      <td>94.5</td>
-      <td>0.4</td>
+      <th>yes</th>
+      <td>1638</td>
+      <td>92.1</td>
+      <td>1778</td>
+      <td>90.9</td>
+      <td>1.2</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Dementia</th>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
       <th>no</th>
-      <td>35735</td>
-      <td>93.3</td>
-      <td>38290</td>
-      <td>92.9</td>
+      <td>900249</td>
+      <td>91.5</td>
+      <td>984060</td>
+      <td>91.0</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>82992</td>
+      <td>94.8</td>
+      <td>87507</td>
+      <td>94.4</td>
       <td>0.4</td>
     </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>979825</td>
+      <td>91.8</td>
+      <td>1067920</td>
+      <td>91.2</td>
+      <td>0.6</td>
+    </tr>
     <tr>
       <th>yes</th>
-      <td>43330</td>
-      <td>95.8</td>
-      <td>45220</td>
-      <td>95.5</td>
-      <td>0.3</td>
+      <td>3416</td>
+      <td>93.5</td>
+      <td>3654</td>
+      <td>92.9</td>
+      <td>0.6</td>
     </tr>
   </tbody>
 </table>
@@ -37674,7 +42340,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 <div class="output_markdown rendered_html output_subarea ">
 <ul>
-<li>Population includes those known to live in an elderly care home, based upon clinical coding.</li>
+<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
 </ul>
 
 </div>
@@ -37685,7 +42351,31 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-shielding-(aged-16-69)-population">Cumulative vaccination figures among shielding (aged 16-69) population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-shielding-(aged-16-69)-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+<ul>
+<li>Population excludes those who are currently shielding.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<ul>
+<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-LD-(aged-16-64)-population">Cumulative vaccination figures among LD (aged 16-64) population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-LD-(aged-16-64)-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
 
 </div>
 
@@ -37714,8 +42404,8 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -37734,201 +42424,142 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>693144</td>
-      <td>84.6</td>
-      <td>819210</td>
-      <td>83.3</td>
-      <td>1.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">newly shielded since feb 15</th>
-      <th>no</th>
-      <td>448448</td>
-      <td>89.2</td>
-      <td>502593</td>
-      <td>88.6</td>
-      <td>0.6</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>244692</td>
-      <td>77.3</td>
-      <td>316624</td>
-      <td>74.8</td>
-      <td>2.5</td>
+      <td>63524</td>
+      <td>78.4</td>
+      <td>81004</td>
+      <td>75.3</td>
+      <td>3.1</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>385112</td>
-      <td>83.7</td>
-      <td>460264</td>
-      <td>82.3</td>
-      <td>1.4</td>
+      <td>24822</td>
+      <td>81.1</td>
+      <td>30597</td>
+      <td>78.3</td>
+      <td>2.8</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>308021</td>
-      <td>85.8</td>
-      <td>358932</td>
-      <td>84.6</td>
-      <td>1.2</td>
+      <td>38696</td>
+      <td>76.8</td>
+      <td>50400</td>
+      <td>73.4</td>
+      <td>3.4</td>
     </tr>
     <tr>
-      <th rowspan="5" valign="top">Age band</th>
+      <th rowspan="8" valign="top">Age band</th>
       <th>16-29</th>
-      <td>49406</td>
-      <td>72.1</td>
-      <td>68516</td>
-      <td>70.2</td>
-      <td>1.9</td>
+      <td>23660</td>
+      <td>71.1</td>
+      <td>33285</td>
+      <td>67.4</td>
+      <td>3.7</td>
     </tr>
     <tr>
-      <th>30-39</th>
-      <td>93401</td>
-      <td>74.2</td>
-      <td>125888</td>
-      <td>72.2</td>
-      <td>2.0</td>
+      <th>30-34</th>
+      <td>8148</td>
+      <td>77.3</td>
+      <td>10535</td>
+      <td>74.1</td>
+      <td>3.2</td>
     </tr>
     <tr>
-      <th>40-49</th>
-      <td>134890</td>
-      <td>82.2</td>
-      <td>164171</td>
-      <td>80.4</td>
-      <td>1.8</td>
+      <th>35-39</th>
+      <td>6174</td>
+      <td>81.1</td>
+      <td>7609</td>
+      <td>78.2</td>
+      <td>2.9</td>
     </tr>
     <tr>
-      <th>50-59</th>
-      <td>198569</td>
-      <td>88.1</td>
-      <td>225484</td>
-      <td>86.8</td>
-      <td>1.3</td>
+      <th>40-44</th>
+      <td>5033</td>
+      <td>84.3</td>
+      <td>5971</td>
+      <td>81.0</td>
+      <td>3.3</td>
     </tr>
     <tr>
-      <th>60-69</th>
-      <td>216867</td>
-      <td>92.2</td>
-      <td>235137</td>
-      <td>91.6</td>
-      <td>0.6</td>
+      <th>45-49</th>
+      <td>5159</td>
+      <td>85.0</td>
+      <td>6069</td>
+      <td>81.9</td>
+      <td>3.1</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>27755</td>
-      <td>62.6</td>
-      <td>44324</td>
-      <td>60.4</td>
-      <td>2.2</td>
+      <th>50-54</th>
+      <td>5572</td>
+      <td>86.7</td>
+      <td>6426</td>
+      <td>84.2</td>
+      <td>2.5</td>
     </tr>
     <tr>
-      <th>Mixed</th>
-      <td>9940</td>
-      <td>70.0</td>
-      <td>14196</td>
-      <td>68.1</td>
-      <td>1.9</td>
+      <th>55-59</th>
+      <td>5586</td>
+      <td>87.6</td>
+      <td>6377</td>
+      <td>85.5</td>
+      <td>2.1</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>12670</td>
-      <td>70.3</td>
-      <td>18011</td>
-      <td>68.4</td>
+      <th>60-64</th>
+      <td>4193</td>
+      <td>88.7</td>
+      <td>4725</td>
+      <td>86.8</td>
       <td>1.9</td>
     </tr>
     <tr>
-      <th>South Asian</th>
-      <td>81375</td>
-      <td>75.4</td>
-      <td>107919</td>
-      <td>73.0</td>
-      <td>2.4</td>
-    </tr>
-    <tr>
-      <th>Unknown</th>
-      <td>27104</td>
-      <td>82.4</td>
-      <td>32886</td>
-      <td>80.7</td>
-      <td>1.7</td>
-    </tr>
-    <tr>
-      <th>White</th>
-      <td>534289</td>
-      <td>88.8</td>
-      <td>601874</td>
-      <td>87.8</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
-      <th>1 Most deprived</th>
-      <td>191555</td>
-      <td>78.8</td>
-      <td>243075</td>
-      <td>77.0</td>
-      <td>1.8</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>154714</td>
-      <td>83.3</td>
-      <td>185696</td>
-      <td>81.9</td>
-      <td>1.4</td>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>686</td>
+      <td>51.6</td>
+      <td>1330</td>
+      <td>48.9</td>
+      <td>2.7</td>
     </tr>
     <tr>
-      <th>3</th>
-      <td>134967</td>
-      <td>86.9</td>
-      <td>155267</td>
-      <td>85.8</td>
-      <td>1.1</td>
+      <th>Mixed</th>
+      <td>637</td>
+      <td>59.5</td>
+      <td>1071</td>
+      <td>55.6</td>
+      <td>3.9</td>
     </tr>
     <tr>
-      <th>4</th>
-      <td>108717</td>
-      <td>89.6</td>
-      <td>121394</td>
-      <td>88.6</td>
-      <td>1.0</td>
+      <th>Other</th>
+      <td>427</td>
+      <td>64.2</td>
+      <td>665</td>
+      <td>58.9</td>
+      <td>5.3</td>
     </tr>
     <tr>
-      <th>5 Least deprived</th>
-      <td>86688</td>
-      <td>92.0</td>
-      <td>94220</td>
-      <td>91.2</td>
-      <td>0.8</td>
+      <th>South Asian</th>
+      <td>2835</td>
+      <td>61.4</td>
+      <td>4620</td>
+      <td>57.6</td>
+      <td>3.8</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>16506</td>
-      <td>84.4</td>
-      <td>19551</td>
-      <td>82.9</td>
-      <td>1.5</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>669613</td>
-      <td>84.5</td>
-      <td>792428</td>
-      <td>83.2</td>
-      <td>1.3</td>
+      <td>5019</td>
+      <td>75.8</td>
+      <td>6622</td>
+      <td>71.7</td>
+      <td>4.1</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>23520</td>
-      <td>87.9</td>
-      <td>26768</td>
-      <td>86.7</td>
-      <td>1.2</td>
+      <th>White</th>
+      <td>53914</td>
+      <td>80.8</td>
+      <td>66689</td>
+      <td>77.9</td>
+      <td>2.9</td>
     </tr>
   </tbody>
 </table>
@@ -37955,7 +42586,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 <div class="output_markdown rendered_html output_subarea ">
 <ul>
-<li>Population excludes those over 65 known to live in an elderly care home, based upon clinical coding.</li>
+<li>Population excludes those who are currently shielding.</li>
 </ul>
 
 </div>
@@ -37966,7 +42597,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-65-69-population">Cumulative vaccination figures among 65-69 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-65-69-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-60-64-population">Cumulative vaccination figures among 60-64 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-60-64-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
 
 </div>
 
@@ -37995,8 +42626,8 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -38015,713 +42646,450 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>977074</td>
-      <td>91.1</td>
-      <td>1072834</td>
-      <td>90.2</td>
-      <td>0.9</td>
+      <td>1135077</td>
+      <td>88.9</td>
+      <td>1276625</td>
+      <td>87.0</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>503069</td>
-      <td>91.8</td>
-      <td>547967</td>
-      <td>91.0</td>
-      <td>0.8</td>
+      <td>573104</td>
+      <td>90.3</td>
+      <td>634725</td>
+      <td>88.6</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>473998</td>
-      <td>90.3</td>
-      <td>524860</td>
-      <td>89.3</td>
-      <td>1.0</td>
+      <td>561967</td>
+      <td>87.5</td>
+      <td>641886</td>
+      <td>85.5</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>7042</td>
-      <td>65.3</td>
-      <td>10787</td>
-      <td>63.7</td>
-      <td>1.6</td>
+      <td>12257</td>
+      <td>62.9</td>
+      <td>19495</td>
+      <td>59.7</td>
+      <td>3.2</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>3696</td>
-      <td>75.3</td>
-      <td>4907</td>
-      <td>74.0</td>
-      <td>1.3</td>
+      <td>5845</td>
+      <td>73.7</td>
+      <td>7931</td>
+      <td>71.2</td>
+      <td>2.5</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>8568</td>
-      <td>72.7</td>
-      <td>11788</td>
-      <td>71.5</td>
-      <td>1.2</td>
+      <td>11284</td>
+      <td>69.8</td>
+      <td>16156</td>
+      <td>67.2</td>
+      <td>2.6</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>35658</td>
-      <td>82.2</td>
-      <td>43358</td>
-      <td>81.2</td>
-      <td>1.0</td>
+      <td>42224</td>
+      <td>80.7</td>
+      <td>52297</td>
+      <td>78.5</td>
+      <td>2.2</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>85176</td>
-      <td>82.4</td>
-      <td>103320</td>
-      <td>81.3</td>
-      <td>1.1</td>
+      <td>114765</td>
+      <td>80.2</td>
+      <td>143108</td>
+      <td>77.9</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>836941</td>
-      <td>93.1</td>
-      <td>898674</td>
-      <td>92.3</td>
-      <td>0.8</td>
+      <td>948703</td>
+      <td>91.4</td>
+      <td>1037617</td>
+      <td>89.7</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>2681</td>
-      <td>62.7</td>
-      <td>4277</td>
-      <td>61.0</td>
-      <td>1.7</td>
+      <td>4823</td>
+      <td>62.8</td>
+      <td>7679</td>
+      <td>60.1</td>
+      <td>2.7</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>1442</td>
-      <td>84.1</td>
-      <td>1715</td>
-      <td>82.4</td>
-      <td>1.7</td>
+      <td>1876</td>
+      <td>83.8</td>
+      <td>2240</td>
+      <td>80.9</td>
+      <td>2.9</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>2947</td>
-      <td>65.5</td>
-      <td>4501</td>
-      <td>63.9</td>
-      <td>1.6</td>
+      <td>4830</td>
+      <td>61.6</td>
+      <td>7840</td>
+      <td>58.3</td>
+      <td>3.3</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>2786</td>
-      <td>73.6</td>
-      <td>3787</td>
-      <td>72.1</td>
-      <td>1.5</td>
+      <td>3500</td>
+      <td>73.5</td>
+      <td>4760</td>
+      <td>70.3</td>
+      <td>3.2</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>5789</td>
-      <td>72.4</td>
-      <td>8001</td>
-      <td>71.2</td>
-      <td>1.2</td>
+      <td>7777</td>
+      <td>68.2</td>
+      <td>11396</td>
+      <td>65.8</td>
+      <td>2.4</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>6580</td>
-      <td>81.1</td>
-      <td>8113</td>
-      <td>80.3</td>
-      <td>0.8</td>
+      <td>8743</td>
+      <td>78.9</td>
+      <td>11088</td>
+      <td>76.8</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>792743</td>
-      <td>94.2</td>
-      <td>841302</td>
-      <td>93.4</td>
-      <td>0.8</td>
+      <td>893914</td>
+      <td>93.0</td>
+      <td>960799</td>
+      <td>91.3</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>19789</td>
-      <td>86.9</td>
-      <td>22785</td>
-      <td>86.1</td>
-      <td>0.8</td>
+      <td>22344</td>
+      <td>85.2</td>
+      <td>26229</td>
+      <td>83.3</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>5796</td>
-      <td>88.9</td>
-      <td>6517</td>
-      <td>88.1</td>
-      <td>0.8</td>
+      <td>5586</td>
+      <td>85.5</td>
+      <td>6531</td>
+      <td>83.8</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>1414</td>
-      <td>70.4</td>
-      <td>2009</td>
-      <td>68.6</td>
-      <td>1.8</td>
+      <td>2611</td>
+      <td>65.6</td>
+      <td>3983</td>
+      <td>61.9</td>
+      <td>3.7</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>38423</td>
-      <td>75.5</td>
-      <td>50883</td>
-      <td>74.5</td>
-      <td>1.0</td>
+      <td>49210</td>
+      <td>70.0</td>
+      <td>70294</td>
+      <td>67.7</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>1428</td>
-      <td>75.3</td>
-      <td>1897</td>
-      <td>74.2</td>
-      <td>1.1</td>
+      <td>2219</td>
+      <td>73.4</td>
+      <td>3024</td>
+      <td>71.3</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>7840</td>
-      <td>72.9</td>
-      <td>10759</td>
-      <td>71.2</td>
-      <td>1.7</td>
+      <td>9254</td>
+      <td>72.6</td>
+      <td>12747</td>
+      <td>69.6</td>
+      <td>3.0</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>85141</td>
-      <td>82.4</td>
-      <td>103278</td>
-      <td>81.3</td>
-      <td>1.1</td>
+      <td>114758</td>
+      <td>80.2</td>
+      <td>143108</td>
+      <td>77.9</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>854</td>
-      <td>84.1</td>
-      <td>1015</td>
-      <td>83.4</td>
-      <td>0.7</td>
+      <td>1218</td>
+      <td>83.3</td>
+      <td>1463</td>
+      <td>81.3</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>602</td>
-      <td>68.3</td>
-      <td>882</td>
-      <td>66.7</td>
-      <td>1.6</td>
+      <td>1043</td>
+      <td>70.3</td>
+      <td>1484</td>
+      <td>66.5</td>
+      <td>3.8</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>805</td>
-      <td>71.9</td>
-      <td>1120</td>
-      <td>70.6</td>
-      <td>1.3</td>
+      <td>1372</td>
+      <td>70.0</td>
+      <td>1960</td>
+      <td>67.5</td>
+      <td>2.5</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>130900</td>
-      <td>85.4</td>
-      <td>153328</td>
-      <td>83.9</td>
-      <td>1.5</td>
+      <td>163135</td>
+      <td>82.3</td>
+      <td>198324</td>
+      <td>79.5</td>
+      <td>2.8</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>168245</td>
-      <td>89.1</td>
-      <td>188762</td>
-      <td>88.0</td>
-      <td>1.1</td>
+      <td>200172</td>
+      <td>86.5</td>
+      <td>231364</td>
+      <td>84.3</td>
+      <td>2.2</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>217021</td>
-      <td>91.6</td>
-      <td>237027</td>
-      <td>90.7</td>
-      <td>0.9</td>
+      <td>248444</td>
+      <td>89.6</td>
+      <td>277165</td>
+      <td>87.8</td>
+      <td>1.8</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>222509</td>
-      <td>92.8</td>
-      <td>239771</td>
-      <td>92.1</td>
-      <td>0.7</td>
+      <td>253897</td>
+      <td>91.1</td>
+      <td>278663</td>
+      <td>89.6</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>218813</td>
-      <td>94.2</td>
-      <td>232330</td>
-      <td>93.6</td>
-      <td>0.6</td>
-    </tr>
-    <tr>
-      <th>Unknown</th>
-      <td>19579</td>
-      <td>90.6</td>
-      <td>21609</td>
-      <td>89.7</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">BMI</th>
-      <th>30+</th>
-      <td>251209</td>
-      <td>93.7</td>
-      <td>268177</td>
-      <td>92.8</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>under 30</th>
-      <td>725858</td>
-      <td>90.2</td>
-      <td>804650</td>
-      <td>89.3</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Chronic cardiac disease</th>
-      <th>no</th>
-      <td>873845</td>
-      <td>90.9</td>
-      <td>961793</td>
-      <td>90.0</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>103229</td>
+      <td>246610</td>
       <td>93.0</td>
-      <td>111034</td>
-      <td>92.1</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Current COPD</th>
-      <th>no</th>
-      <td>939288</td>
-      <td>91.0</td>
-      <td>1032024</td>
-      <td>90.1</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>37779</td>
-      <td>92.6</td>
-      <td>40803</td>
+      <td>265230</td>
       <td>91.6</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">DMARDs</th>
-      <th>no</th>
-      <td>958314</td>
-      <td>91.0</td>
-      <td>1053017</td>
-      <td>90.1</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>18753</td>
-      <td>94.6</td>
-      <td>19817</td>
-      <td>93.9</td>
-      <td>0.7</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>971943</td>
-      <td>91.1</td>
-      <td>1067199</td>
-      <td>90.2</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>5131</td>
-      <td>91.2</td>
-      <td>5628</td>
-      <td>90.2</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
-      <th>no</th>
-      <td>967323</td>
-      <td>91.2</td>
-      <td>1061158</td>
-      <td>90.3</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>9751</td>
-      <td>83.6</td>
-      <td>11669</td>
-      <td>81.8</td>
-      <td>1.8</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>974862</td>
-      <td>91.1</td>
-      <td>1070300</td>
-      <td>90.2</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>2205</td>
-      <td>87.3</td>
-      <td>2527</td>
-      <td>85.0</td>
-      <td>2.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
-      <th>no</th>
-      <td>891541</td>
-      <td>90.8</td>
-      <td>981848</td>
-      <td>89.9</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>85533</td>
-      <td>94.0</td>
-      <td>90979</td>
-      <td>93.0</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
-      <th>no</th>
-      <td>958384</td>
-      <td>91.0</td>
-      <td>1053045</td>
-      <td>90.1</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>18690</td>
-      <td>94.4</td>
-      <td>19789</td>
-      <td>93.7</td>
-      <td>0.7</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Cancer (lung)</th>
-      <th>no</th>
-      <td>975450</td>
-      <td>91.1</td>
-      <td>1071049</td>
-      <td>90.2</td>
-      <td>0.9</td>
+      <td>1.4</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>1624</td>
-      <td>91.0</td>
-      <td>1785</td>
-      <td>89.8</td>
-      <td>1.2</td>
+      <th>Unknown</th>
+      <td>22806</td>
+      <td>88.1</td>
+      <td>25872</td>
+      <td>86.2</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
-      <th>no</th>
-      <td>894544</td>
-      <td>90.8</td>
-      <td>985285</td>
-      <td>89.9</td>
-      <td>0.9</td>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>286762</td>
+      <td>92.6</td>
+      <td>309813</td>
+      <td>91.0</td>
+      <td>1.6</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>82523</td>
-      <td>94.3</td>
-      <td>87542</td>
-      <td>93.6</td>
-      <td>0.7</td>
+      <th>under 30</th>
+      <td>848309</td>
+      <td>87.7</td>
+      <td>966798</td>
+      <td>85.8</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>973609</td>
-      <td>91.1</td>
-      <td>1069096</td>
-      <td>90.2</td>
-      <td>0.9</td>
+      <td>1049461</td>
+      <td>88.7</td>
+      <td>1183371</td>
+      <td>86.7</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>3465</td>
-      <td>92.9</td>
-      <td>3731</td>
-      <td>92.3</td>
-      <td>0.6</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<p><strong>Footnotes:</strong></p>
-<ul>
-<li>Patient counts rounded to the nearest 7</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>Population excludes those who are currently shielding.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<ul>
-<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
-</ul>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-LD-(aged-16-64)-population">Cumulative vaccination figures among LD (aged 16-64) population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-LD-(aged-16-64)-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
-
-</div>
-
-</div>
-
-<div class="output_area">
-
-
-<div class="output_html rendered_html output_subarea ">
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
-      <th>Total eligible</th>
-      <th>Previous week's vaccination coverage (%)</th>
-      <th>Vaccinated over last 7d (%)</th>
+      <td>85603</td>
+      <td>91.8</td>
+      <td>93240</td>
+      <td>90.7</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th>Category</th>
-      <th>Group</th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
-      <th></th>
+      <th rowspan="2" valign="top">Current COPD</th>
+      <th>no</th>
+      <td>1103648</td>
+      <td>88.9</td>
+      <td>1242136</td>
+      <td>86.9</td>
+      <td>2.0</td>
     </tr>
-  </thead>
-  <tbody>
     <tr>
-      <th>overall</th>
-      <th>overall</th>
-      <td>60342</td>
-      <td>74.7</td>
-      <td>80759</td>
-      <td>70.8</td>
-      <td>3.9</td>
+      <th>yes</th>
+      <td>31423</td>
+      <td>91.1</td>
+      <td>34475</td>
+      <td>90.0</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Sex</th>
-      <th>F</th>
-      <td>23737</td>
-      <td>77.8</td>
-      <td>30513</td>
-      <td>74.0</td>
-      <td>3.8</td>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>1115702</td>
+      <td>88.8</td>
+      <td>1255905</td>
+      <td>86.9</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>M</th>
-      <td>36603</td>
-      <td>72.9</td>
-      <td>50239</td>
-      <td>68.8</td>
-      <td>4.1</td>
+      <th>yes</th>
+      <td>19369</td>
+      <td>93.5</td>
+      <td>20706</td>
+      <td>92.5</td>
+      <td>1.0</td>
     </tr>
     <tr>
-      <th rowspan="8" valign="top">Age band</th>
-      <th>16-29</th>
-      <td>22120</td>
-      <td>66.9</td>
-      <td>33075</td>
-      <td>62.5</td>
-      <td>4.4</td>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>1131760</td>
+      <td>88.9</td>
+      <td>1272950</td>
+      <td>87.0</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>30-34</th>
-      <td>7728</td>
-      <td>73.5</td>
-      <td>10514</td>
-      <td>69.4</td>
-      <td>4.1</td>
+      <th>yes</th>
+      <td>3311</td>
+      <td>90.4</td>
+      <td>3661</td>
+      <td>88.9</td>
+      <td>1.5</td>
     </tr>
     <tr>
-      <th>35-39</th>
-      <td>5901</td>
-      <td>77.7</td>
-      <td>7595</td>
-      <td>74.1</td>
-      <td>3.6</td>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>1123031</td>
+      <td>89.0</td>
+      <td>1261911</td>
+      <td>87.1</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>40-44</th>
-      <td>4795</td>
-      <td>80.4</td>
-      <td>5964</td>
-      <td>76.6</td>
-      <td>3.8</td>
+      <th>yes</th>
+      <td>12040</td>
+      <td>81.9</td>
+      <td>14707</td>
+      <td>79.8</td>
+      <td>2.1</td>
     </tr>
     <tr>
-      <th>45-49</th>
-      <td>4942</td>
-      <td>81.3</td>
-      <td>6076</td>
-      <td>77.9</td>
-      <td>3.4</td>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>1016148</td>
+      <td>88.5</td>
+      <td>1148385</td>
+      <td>86.6</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>50-54</th>
-      <td>5369</td>
-      <td>83.6</td>
-      <td>6426</td>
-      <td>80.1</td>
-      <td>3.5</td>
+      <th>yes</th>
+      <td>118923</td>
+      <td>92.7</td>
+      <td>128233</td>
+      <td>90.8</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>55-59</th>
-      <td>5411</td>
-      <td>84.8</td>
-      <td>6384</td>
-      <td>81.0</td>
-      <td>3.8</td>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>1118208</td>
+      <td>88.8</td>
+      <td>1258635</td>
+      <td>87.0</td>
+      <td>1.8</td>
     </tr>
     <tr>
-      <th>60-64</th>
-      <td>4074</td>
-      <td>86.4</td>
-      <td>4718</td>
-      <td>83.7</td>
-      <td>2.7</td>
+      <th>yes</th>
+      <td>16856</td>
+      <td>93.7</td>
+      <td>17983</td>
+      <td>92.4</td>
+      <td>1.3</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>644</td>
-      <td>48.7</td>
-      <td>1323</td>
-      <td>45.5</td>
-      <td>3.2</td>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>1134035</td>
+      <td>88.9</td>
+      <td>1275442</td>
+      <td>87.0</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>Mixed</th>
-      <td>595</td>
-      <td>55.9</td>
-      <td>1064</td>
-      <td>51.3</td>
-      <td>4.6</td>
+      <th>yes</th>
+      <td>1036</td>
+      <td>88.1</td>
+      <td>1176</td>
+      <td>86.9</td>
+      <td>1.2</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>385</td>
-      <td>57.9</td>
-      <td>665</td>
-      <td>53.7</td>
-      <td>4.2</td>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th>no</th>
+      <td>1068074</td>
+      <td>88.7</td>
+      <td>1204735</td>
+      <td>86.7</td>
+      <td>2.0</td>
     </tr>
     <tr>
-      <th>South Asian</th>
-      <td>2611</td>
-      <td>56.7</td>
-      <td>4606</td>
-      <td>52.7</td>
-      <td>4.0</td>
+      <th>yes</th>
+      <td>66997</td>
+      <td>93.2</td>
+      <td>71883</td>
+      <td>91.8</td>
+      <td>1.4</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>4711</td>
-      <td>71.2</td>
-      <td>6615</td>
-      <td>66.7</td>
-      <td>4.5</td>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>1131991</td>
+      <td>88.9</td>
+      <td>1273293</td>
+      <td>87.0</td>
+      <td>1.9</td>
     </tr>
     <tr>
-      <th>White</th>
-      <td>51394</td>
-      <td>77.3</td>
-      <td>66479</td>
-      <td>73.5</td>
-      <td>3.8</td>
+      <th>yes</th>
+      <td>3080</td>
+      <td>92.6</td>
+      <td>3325</td>
+      <td>91.8</td>
+      <td>0.8</td>
     </tr>
   </tbody>
 </table>
@@ -38759,7 +43127,19 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-60-64-population">Cumulative vaccination figures among 60-64 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-60-64-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+<ul>
+<li>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
+</ul>
+
+</div>
+
+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-55-59-population">Cumulative vaccination figures among 55-59 population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-55-59-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
 
 </div>
 
@@ -38788,8 +43168,8 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
-      <th>Vaccinated at 25 Mar (%)</th>
+      <th>Vaccinated at 01 Apr (n)</th>
+      <th>Vaccinated at 01 Apr (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -38808,451 +43188,366 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>1105619</td>
-      <td>86.5</td>
-      <td>1277514</td>
-      <td>81.5</td>
-      <td>5.0</td>
+      <td>1280135</td>
+      <td>84.9</td>
+      <td>1508087</td>
+      <td>79.2</td>
+      <td>5.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>559860</td>
-      <td>88.2</td>
-      <td>635047</td>
-      <td>83.6</td>
-      <td>4.6</td>
+      <td>646142</td>
+      <td>87.2</td>
+      <td>740901</td>
+      <td>82.2</td>
+      <td>5.0</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>545755</td>
-      <td>84.9</td>
-      <td>642453</td>
-      <td>79.4</td>
-      <td>5.5</td>
+      <td>633990</td>
+      <td>82.6</td>
+      <td>767172</td>
+      <td>76.3</td>
+      <td>6.3</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>11522</td>
-      <td>59.1</td>
-      <td>19502</td>
-      <td>54.6</td>
-      <td>4.5</td>
+      <td>18207</td>
+      <td>59.0</td>
+      <td>30877</td>
+      <td>53.6</td>
+      <td>5.4</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>5607</td>
-      <td>70.8</td>
-      <td>7924</td>
-      <td>66.4</td>
-      <td>4.4</td>
+      <td>8456</td>
+      <td>69.3</td>
+      <td>12208</td>
+      <td>63.8</td>
+      <td>5.5</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>10745</td>
-      <td>66.9</td>
-      <td>16065</td>
-      <td>62.2</td>
-      <td>4.7</td>
+      <td>14448</td>
+      <td>65.8</td>
+      <td>21959</td>
+      <td>60.2</td>
+      <td>5.6</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>40817</td>
-      <td>78.0</td>
-      <td>52318</td>
-      <td>74.6</td>
-      <td>3.4</td>
+      <td>45752</td>
+      <td>76.6</td>
+      <td>59710</td>
+      <td>72.0</td>
+      <td>4.6</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>111237</td>
-      <td>77.3</td>
-      <td>143948</td>
-      <td>71.1</td>
-      <td>6.2</td>
+      <td>130613</td>
+      <td>75.4</td>
+      <td>173194</td>
+      <td>68.4</td>
+      <td>7.0</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>925694</td>
-      <td>89.2</td>
-      <td>1037750</td>
-      <td>84.2</td>
-      <td>5.0</td>
+      <td>1062656</td>
+      <td>87.8</td>
+      <td>1210132</td>
+      <td>82.2</td>
+      <td>5.6</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>4557</td>
-      <td>59.4</td>
-      <td>7672</td>
-      <td>54.9</td>
-      <td>4.5</td>
+      <td>7651</td>
+      <td>60.2</td>
+      <td>12719</td>
+      <td>55.0</td>
+      <td>5.2</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>1799</td>
-      <td>80.3</td>
-      <td>2240</td>
-      <td>75.6</td>
-      <td>4.7</td>
+      <td>2394</td>
+      <td>80.5</td>
+      <td>2975</td>
+      <td>76.2</td>
+      <td>4.3</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>4529</td>
-      <td>57.7</td>
-      <td>7847</td>
-      <td>53.2</td>
-      <td>4.5</td>
+      <td>6216</td>
+      <td>56.8</td>
+      <td>10948</td>
+      <td>51.5</td>
+      <td>5.3</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>3311</td>
-      <td>69.7</td>
-      <td>4753</td>
-      <td>63.5</td>
-      <td>6.2</td>
+      <td>4298</td>
+      <td>70.3</td>
+      <td>6118</td>
+      <td>62.5</td>
+      <td>7.8</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>7434</td>
-      <td>65.6</td>
-      <td>11326</td>
-      <td>61.6</td>
-      <td>4.0</td>
+      <td>10150</td>
+      <td>64.1</td>
+      <td>15834</td>
+      <td>59.3</td>
+      <td>4.8</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>8484</td>
-      <td>76.5</td>
-      <td>11088</td>
-      <td>73.2</td>
-      <td>3.3</td>
+      <td>11172</td>
+      <td>75.6</td>
+      <td>14784</td>
+      <td>70.5</td>
+      <td>5.1</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>872886</td>
-      <td>90.8</td>
-      <td>960883</td>
-      <td>85.7</td>
-      <td>5.1</td>
+      <td>996814</td>
+      <td>89.7</td>
+      <td>1111635</td>
+      <td>84.0</td>
+      <td>5.7</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>21756</td>
-      <td>82.9</td>
-      <td>26229</td>
-      <td>79.9</td>
-      <td>3.0</td>
+      <td>23100</td>
+      <td>81.6</td>
+      <td>28294</td>
+      <td>77.5</td>
+      <td>4.1</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>5453</td>
-      <td>83.5</td>
-      <td>6531</td>
-      <td>80.0</td>
-      <td>3.5</td>
+      <td>6258</td>
+      <td>81.8</td>
+      <td>7651</td>
+      <td>77.5</td>
+      <td>4.3</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>2429</td>
-      <td>61.0</td>
-      <td>3983</td>
-      <td>56.8</td>
-      <td>4.2</td>
+      <td>4326</td>
+      <td>60.1</td>
+      <td>7203</td>
+      <td>54.4</td>
+      <td>5.7</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>47362</td>
-      <td>67.3</td>
-      <td>70343</td>
-      <td>63.0</td>
-      <td>4.3</td>
+      <td>59591</td>
+      <td>65.6</td>
+      <td>90853</td>
+      <td>60.4</td>
+      <td>5.2</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>2142</td>
-      <td>70.8</td>
-      <td>3024</td>
-      <td>67.4</td>
-      <td>3.4</td>
+      <td>2996</td>
+      <td>69.3</td>
+      <td>4326</td>
+      <td>63.9</td>
+      <td>5.4</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>8778</td>
-      <td>68.8</td>
-      <td>12761</td>
-      <td>64.9</td>
-      <td>3.9</td>
+      <td>9100</td>
+      <td>66.6</td>
+      <td>13664</td>
+      <td>61.5</td>
+      <td>5.1</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>111230</td>
-      <td>77.3</td>
-      <td>143934</td>
-      <td>71.1</td>
-      <td>6.2</td>
+      <td>130599</td>
+      <td>75.4</td>
+      <td>173180</td>
+      <td>68.4</td>
+      <td>7.0</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>1176</td>
-      <td>80.8</td>
-      <td>1456</td>
-      <td>76.4</td>
-      <td>4.4</td>
+      <td>1743</td>
+      <td>77.3</td>
+      <td>2254</td>
+      <td>72.0</td>
+      <td>5.3</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>980</td>
-      <td>66.4</td>
-      <td>1477</td>
-      <td>61.1</td>
-      <td>5.3</td>
+      <td>1519</td>
+      <td>65.4</td>
+      <td>2324</td>
+      <td>59.3</td>
+      <td>6.1</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>1309</td>
-      <td>66.5</td>
-      <td>1967</td>
-      <td>61.9</td>
-      <td>4.6</td>
+      <td>2198</td>
+      <td>66.4</td>
+      <td>3311</td>
+      <td>61.1</td>
+      <td>5.3</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>156310</td>
-      <td>78.8</td>
-      <td>198471</td>
-      <td>73.1</td>
-      <td>5.7</td>
+      <td>188433</td>
+      <td>76.8</td>
+      <td>245350</td>
+      <td>70.8</td>
+      <td>6.0</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>194110</td>
-      <td>83.8</td>
-      <td>231560</td>
-      <td>78.3</td>
-      <td>5.5</td>
+      <td>225589</td>
+      <td>81.8</td>
+      <td>275667</td>
+      <td>76.0</td>
+      <td>5.8</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>242410</td>
-      <td>87.4</td>
-      <td>277403</td>
-      <td>82.4</td>
-      <td>5.0</td>
+      <td>277193</td>
+      <td>85.8</td>
+      <td>322945</td>
+      <td>80.2</td>
+      <td>5.6</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>248675</td>
-      <td>89.2</td>
-      <td>278887</td>
-      <td>84.4</td>
-      <td>4.8</td>
+      <td>284410</td>
+      <td>87.7</td>
+      <td>324128</td>
+      <td>82.1</td>
+      <td>5.6</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>242025</td>
-      <td>91.2</td>
-      <td>265447</td>
-      <td>86.4</td>
-      <td>4.8</td>
+      <td>279027</td>
+      <td>90.0</td>
+      <td>310079</td>
+      <td>84.4</td>
+      <td>5.6</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>22078</td>
-      <td>85.8</td>
-      <td>25739</td>
-      <td>81.0</td>
-      <td>4.8</td>
+      <td>25480</td>
+      <td>85.2</td>
+      <td>29897</td>
+      <td>79.7</td>
+      <td>5.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">BMI</th>
       <th>30+</th>
-      <td>280987</td>
-      <td>90.6</td>
-      <td>310163</td>
-      <td>86.5</td>
-      <td>4.1</td>
+      <td>312613</td>
+      <td>89.7</td>
+      <td>348656</td>
+      <td>85.1</td>
+      <td>4.6</td>
     </tr>
     <tr>
       <th>under 30</th>
-      <td>824628</td>
-      <td>85.2</td>
-      <td>967344</td>
-      <td>79.9</td>
-      <td>5.3</td>
+      <td>967519</td>
+      <td>83.4</td>
+      <td>1159424</td>
+      <td>77.4</td>
+      <td>6.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>1021377</td>
-      <td>86.2</td>
-      <td>1184351</td>
-      <td>80.9</td>
-      <td>5.3</td>
+      <td>1216138</td>
+      <td>84.7</td>
+      <td>1436246</td>
+      <td>78.8</td>
+      <td>5.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>84238</td>
-      <td>90.4</td>
-      <td>93156</td>
-      <td>88.2</td>
-      <td>2.2</td>
+      <td>63987</td>
+      <td>89.1</td>
+      <td>71834</td>
+      <td>86.6</td>
+      <td>2.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>1074591</td>
-      <td>86.5</td>
-      <td>1242899</td>
-      <td>81.3</td>
-      <td>5.2</td>
+      <td>1255919</td>
+      <td>84.8</td>
+      <td>1480472</td>
+      <td>79.0</td>
+      <td>5.8</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>31024</td>
-      <td>89.7</td>
-      <td>34601</td>
-      <td>87.2</td>
+      <td>24213</td>
+      <td>87.7</td>
+      <td>27601</td>
+      <td>85.2</td>
       <td>2.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">DMARDs</th>
       <th>no</th>
-      <td>1086505</td>
-      <td>86.5</td>
-      <td>1256766</td>
-      <td>81.3</td>
-      <td>5.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>19110</td>
-      <td>92.1</td>
-      <td>20741</td>
-      <td>89.1</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>1102381</td>
-      <td>86.5</td>
-      <td>1273846</td>
-      <td>81.5</td>
-      <td>5.0</td>
+      <td>1260980</td>
+      <td>84.8</td>
+      <td>1487052</td>
+      <td>79.0</td>
+      <td>5.8</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>3234</td>
-      <td>88.3</td>
-      <td>3661</td>
-      <td>85.3</td>
-      <td>3.0</td>
+      <td>19152</td>
+      <td>91.1</td>
+      <td>21028</td>
+      <td>87.8</td>
+      <td>3.3</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
       <th>no</th>
-      <td>1093932</td>
-      <td>86.6</td>
-      <td>1262786</td>
-      <td>81.5</td>
-      <td>5.1</td>
+      <td>1265747</td>
+      <td>85.0</td>
+      <td>1489327</td>
+      <td>79.2</td>
+      <td>5.8</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>11683</td>
-      <td>79.4</td>
-      <td>14721</td>
-      <td>75.9</td>
-      <td>3.5</td>
+      <td>14385</td>
+      <td>76.7</td>
+      <td>18746</td>
+      <td>73.5</td>
+      <td>3.2</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">SSRI (last 12 months)</th>
       <th>no</th>
-      <td>989779</td>
-      <td>86.1</td>
-      <td>1149253</td>
-      <td>81.0</td>
-      <td>5.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>115836</td>
-      <td>90.3</td>
-      <td>128254</td>
-      <td>85.6</td>
-      <td>4.7</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
-      <th>no</th>
-      <td>1088990</td>
-      <td>86.5</td>
-      <td>1259440</td>
-      <td>81.4</td>
-      <td>5.1</td>
+      <td>1130759</td>
+      <td>84.3</td>
+      <td>1341830</td>
+      <td>78.4</td>
+      <td>5.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>16625</td>
-      <td>92.0</td>
-      <td>18067</td>
-      <td>88.1</td>
-      <td>3.9</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Cancer (lung)</th>
-      <th>no</th>
-      <td>1104593</td>
-      <td>86.5</td>
-      <td>1276324</td>
-      <td>81.5</td>
+      <td>149373</td>
+      <td>89.9</td>
+      <td>166243</td>
+      <td>84.9</td>
       <td>5.0</td>
     </tr>
-    <tr>
-      <th>yes</th>
-      <td>1022</td>
-      <td>86.4</td>
-      <td>1183</td>
-      <td>83.4</td>
-      <td>3.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
-      <th>no</th>
-      <td>1039885</td>
-      <td>86.3</td>
-      <td>1205589</td>
-      <td>81.1</td>
-      <td>5.2</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>65730</td>
-      <td>91.4</td>
-      <td>71918</td>
-      <td>87.4</td>
-      <td>4.0</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Cancer (haematological)</th>
-      <th>no</th>
-      <td>1102521</td>
-      <td>86.5</td>
-      <td>1274112</td>
-      <td>81.4</td>
-      <td>5.1</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>3094</td>
-      <td>91.3</td>
-      <td>3388</td>
-      <td>89.5</td>
-      <td>1.8</td>
-    </tr>
   </tbody>
 </table>
 </div>
@@ -39301,7 +43596,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-under-60s,-not-in-other-eligible-groups-shown-population">Cumulative vaccination figures among under 60s, not in other eligible groups shown population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-under-60s,-not-in-other-eligible-groups-shown-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
+<h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-vaccination-figures-among-under-55s,-not-in-other-eligible-groups-shown-population">Cumulative vaccination figures among under 55s, not in other eligible groups shown population<a class="anchor-link" href="#Cumulative-vaccination-figures-among-under-55s,-not-in-other-eligible-groups-shown-population">&#182;</a></h2><p>Please refer to footnotes below table for information.</p>
 
 </div>
 
@@ -39330,7 +43625,7 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 25 Mar (n)</th>
+      <th>Vaccinated at 01 Apr (n)</th>
       <th>Previous week's vaccination figure (n)</th>
       <th>Vaccinated over last 7d (n)</th>
       <th>Increase in coverage over last 7d (%)</th>
@@ -39348,335 +43643,335 @@ <h2 id="-"> <a class="anchor-link" href="#-">&#182;</a></h2><h2 id="Cumulative-v
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>4129702</td>
-      <td>3263110.0</td>
-      <td>866592.0</td>
-      <td>26.6</td>
+      <td>3534037</td>
+      <td>3053245.0</td>
+      <td>480792.0</td>
+      <td>15.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>2359315</td>
-      <td>1948191.0</td>
-      <td>411124.0</td>
-      <td>21.1</td>
+      <td>2041235</td>
+      <td>1807673.0</td>
+      <td>233562.0</td>
+      <td>12.9</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>1770314</td>
-      <td>1314859.0</td>
-      <td>455455.0</td>
-      <td>34.6</td>
+      <td>1492722</td>
+      <td>1245503.0</td>
+      <td>247219.0</td>
+      <td>19.8</td>
     </tr>
     <tr>
       <th rowspan="4" valign="top">Age band</th>
       <th>16-29</th>
-      <td>479850</td>
-      <td>426314.0</td>
-      <td>53536.0</td>
-      <td>12.6</td>
+      <td>547708</td>
+      <td>490686.0</td>
+      <td>57022.0</td>
+      <td>11.6</td>
     </tr>
     <tr>
       <th>30-39</th>
-      <td>600264</td>
-      <td>534065.0</td>
-      <td>66199.0</td>
-      <td>12.4</td>
+      <td>682199</td>
+      <td>612948.0</td>
+      <td>69251.0</td>
+      <td>11.3</td>
     </tr>
     <tr>
       <th>40-49</th>
-      <td>828716</td>
-      <td>699923.0</td>
-      <td>128793.0</td>
-      <td>18.4</td>
+      <td>1044547</td>
+      <td>858158.0</td>
+      <td>186389.0</td>
+      <td>21.7</td>
     </tr>
     <tr>
       <th>50-59</th>
-      <td>2220806</td>
-      <td>1602755.0</td>
-      <td>618051.0</td>
-      <td>38.6</td>
+      <td>1259496</td>
+      <td>1091384.0</td>
+      <td>168112.0</td>
+      <td>15.4</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>74627</td>
-      <td>63049.0</td>
-      <td>11578.0</td>
-      <td>18.4</td>
+      <td>68642</td>
+      <td>60193.0</td>
+      <td>8449.0</td>
+      <td>14.0</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>43043</td>
-      <td>35819.0</td>
-      <td>7224.0</td>
-      <td>20.2</td>
+      <td>41517</td>
+      <td>36484.0</td>
+      <td>5033.0</td>
+      <td>13.8</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>64358</td>
-      <td>51940.0</td>
-      <td>12418.0</td>
-      <td>23.9</td>
+      <td>62146</td>
+      <td>53221.0</td>
+      <td>8925.0</td>
+      <td>16.8</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>252259</td>
-      <td>213493.0</td>
-      <td>38766.0</td>
-      <td>18.2</td>
+      <td>252182</td>
+      <td>217350.0</td>
+      <td>34832.0</td>
+      <td>16.0</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>385266</td>
-      <td>281015.0</td>
-      <td>104251.0</td>
-      <td>37.1</td>
+      <td>338513</td>
+      <td>279363.0</td>
+      <td>59150.0</td>
+      <td>21.2</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>3310076</td>
-      <td>2617741.0</td>
-      <td>692335.0</td>
-      <td>26.4</td>
+      <td>2770957</td>
+      <td>2406572.0</td>
+      <td>364385.0</td>
+      <td>15.1</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>44121</td>
-      <td>38010.0</td>
-      <td>6111.0</td>
-      <td>16.1</td>
+      <td>43407</td>
+      <td>38311.0</td>
+      <td>5096.0</td>
+      <td>13.3</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>17458</td>
-      <td>14231.0</td>
-      <td>3227.0</td>
-      <td>22.7</td>
+      <td>19180</td>
+      <td>15827.0</td>
+      <td>3353.0</td>
+      <td>21.2</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>14749</td>
-      <td>11984.0</td>
-      <td>2765.0</td>
-      <td>23.1</td>
+      <td>11011</td>
+      <td>9548.0</td>
+      <td>1463.0</td>
+      <td>15.3</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>14707</td>
-      <td>11053.0</td>
-      <td>3654.0</td>
-      <td>33.1</td>
+      <td>13685</td>
+      <td>11382.0</td>
+      <td>2303.0</td>
+      <td>20.2</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>49672</td>
-      <td>40901.0</td>
-      <td>8771.0</td>
-      <td>21.4</td>
+      <td>48461</td>
+      <td>41846.0</td>
+      <td>6615.0</td>
+      <td>15.8</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>59612</td>
-      <td>50834.0</td>
-      <td>8778.0</td>
-      <td>17.3</td>
+      <td>57897</td>
+      <td>50939.0</td>
+      <td>6958.0</td>
+      <td>13.7</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>3059014</td>
-      <td>2420607.0</td>
-      <td>638407.0</td>
-      <td>26.4</td>
+      <td>2540083</td>
+      <td>2208773.0</td>
+      <td>331310.0</td>
+      <td>15.0</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>113792</td>
-      <td>96355.0</td>
-      <td>17437.0</td>
-      <td>18.1</td>
+      <td>110726</td>
+      <td>95515.0</td>
+      <td>15211.0</td>
+      <td>15.9</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>19467</td>
-      <td>15505.0</td>
-      <td>3962.0</td>
-      <td>25.6</td>
+      <td>15967</td>
+      <td>14014.0</td>
+      <td>1953.0</td>
+      <td>13.9</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>15750</td>
-      <td>13048.0</td>
-      <td>2702.0</td>
-      <td>20.7</td>
+      <td>14231</td>
+      <td>12341.0</td>
+      <td>1890.0</td>
+      <td>15.3</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>231644</td>
-      <td>181664.0</td>
-      <td>49980.0</td>
-      <td>27.5</td>
+      <td>214788</td>
+      <td>183687.0</td>
+      <td>31101.0</td>
+      <td>16.9</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>15330</td>
-      <td>12509.0</td>
-      <td>2821.0</td>
-      <td>22.6</td>
+      <td>14917</td>
+      <td>13034.0</td>
+      <td>1883.0</td>
+      <td>14.4</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>61397</td>
-      <td>52073.0</td>
-      <td>9324.0</td>
-      <td>17.9</td>
+      <td>64386</td>
+      <td>55076.0</td>
+      <td>9310.0</td>
+      <td>16.9</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>385203</td>
-      <td>280966.0</td>
-      <td>104237.0</td>
-      <td>37.1</td>
+      <td>338632</td>
+      <td>279447.0</td>
+      <td>59185.0</td>
+      <td>21.2</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>9926</td>
-      <td>8302.0</td>
-      <td>1624.0</td>
-      <td>19.6</td>
+      <td>9702</td>
+      <td>8554.0</td>
+      <td>1148.0</td>
+      <td>13.4</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>8379</td>
-      <td>7133.0</td>
-      <td>1246.0</td>
-      <td>17.5</td>
+      <td>8155</td>
+      <td>7224.0</td>
+      <td>931.0</td>
+      <td>12.9</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>9408</td>
-      <td>7875.0</td>
-      <td>1533.0</td>
-      <td>19.5</td>
+      <td>8729</td>
+      <td>7658.0</td>
+      <td>1071.0</td>
+      <td>14.0</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>699237</td>
-      <td>573762.0</td>
-      <td>125475.0</td>
-      <td>21.9</td>
+      <td>631414</td>
+      <td>545510.0</td>
+      <td>85904.0</td>
+      <td>15.7</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>770616</td>
-      <td>616371.0</td>
-      <td>154245.0</td>
-      <td>25.0</td>
+      <td>674142</td>
+      <td>582729.0</td>
+      <td>91413.0</td>
+      <td>15.7</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>876036</td>
-      <td>689290.0</td>
-      <td>186746.0</td>
-      <td>27.1</td>
+      <td>736099</td>
+      <td>640241.0</td>
+      <td>95858.0</td>
+      <td>15.0</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>861196</td>
-      <td>669200.0</td>
-      <td>191996.0</td>
-      <td>28.7</td>
+      <td>718529</td>
+      <td>619871.0</td>
+      <td>98658.0</td>
+      <td>15.9</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>820463</td>
-      <td>631575.0</td>
-      <td>188888.0</td>
-      <td>29.9</td>
+      <td>680365</td>
+      <td>583149.0</td>
+      <td>97216.0</td>
+      <td>16.7</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>102074</td>
-      <td>82859.0</td>
-      <td>19215.0</td>
-      <td>23.2</td>
+      <td>93408</td>
+      <td>81669.0</td>
+      <td>11739.0</td>
+      <td>14.4</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">BMI</th>
       <th>30+</th>
-      <td>1016988</td>
-      <td>850591.0</td>
-      <td>166397.0</td>
-      <td>19.6</td>
+      <td>824698</td>
+      <td>741104.0</td>
+      <td>83594.0</td>
+      <td>11.3</td>
     </tr>
     <tr>
       <th>under 30</th>
-      <td>3112641</td>
-      <td>2412459.0</td>
-      <td>700182.0</td>
-      <td>29.0</td>
+      <td>2709259</td>
+      <td>2312072.0</td>
+      <td>397187.0</td>
+      <td>17.2</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>3979262</td>
-      <td>3125892.0</td>
-      <td>853370.0</td>
-      <td>27.3</td>
+      <td>3438540</td>
+      <td>2963247.0</td>
+      <td>475293.0</td>
+      <td>16.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>150367</td>
-      <td>137158.0</td>
-      <td>13209.0</td>
-      <td>9.6</td>
+      <td>95417</td>
+      <td>89922.0</td>
+      <td>5495.0</td>
+      <td>6.1</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>4079068</td>
-      <td>3216766.0</td>
-      <td>862302.0</td>
-      <td>26.8</td>
+      <td>3504991</td>
+      <td>3025855.0</td>
+      <td>479136.0</td>
+      <td>15.8</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>50561</td>
-      <td>46284.0</td>
-      <td>4277.0</td>
-      <td>9.2</td>
+      <td>28966</td>
+      <td>27321.0</td>
+      <td>1645.0</td>
+      <td>6.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">DMARDs</th>
       <th>no</th>
-      <td>4065278</td>
-      <td>3206539.0</td>
-      <td>858739.0</td>
-      <td>26.8</td>
+      <td>3483669</td>
+      <td>3006381.0</td>
+      <td>477288.0</td>
+      <td>15.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>64351</td>
-      <td>56518.0</td>
-      <td>7833.0</td>
-      <td>13.9</td>
+      <td>50281</td>
+      <td>46788.0</td>
+      <td>3493.0</td>
+      <td>7.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">SSRI (last 12 months)</th>
       <th>no</th>
-      <td>3545003</td>
-      <td>2775710.0</td>
-      <td>769293.0</td>
-      <td>27.7</td>
+      <td>3020395</td>
+      <td>2594998.0</td>
+      <td>425397.0</td>
+      <td>16.4</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>584626</td>
-      <td>487340.0</td>
-      <td>97286.0</td>
-      <td>20.0</td>
+      <td>513562</td>
+      <td>458178.0</td>
+      <td>55384.0</td>
+      <td>12.1</td>
     </tr>
   </tbody>
 </table>
@@ -39778,38 +44073,43 @@ <h3 id="-"> <a class="anchor-link" href="#-">&#182;</a></h3><h2 id="Appendix">Ap
   <tbody>
     <tr>
       <th>80+</th>
-      <td>1128015</td>
-      <td>94.2</td>
+      <td>1125803</td>
+      <td>94.3</td>
     </tr>
     <tr>
       <th>70-79</th>
-      <td>2068206</td>
-      <td>92.8</td>
+      <td>2067072</td>
+      <td>92.9</td>
     </tr>
     <tr>
       <th>care home</th>
-      <td>83510</td>
-      <td>97.3</td>
+      <td>83615</td>
+      <td>97.4</td>
     </tr>
     <tr>
       <th>shielding (aged 16-69)</th>
-      <td>819210</td>
+      <td>824432</td>
       <td>96.0</td>
     </tr>
     <tr>
       <th>65-69</th>
-      <td>1072834</td>
+      <td>1071581</td>
       <td>90.4</td>
     </tr>
     <tr>
       <th>LD (aged 16-64)</th>
-      <td>80759</td>
+      <td>81004</td>
       <td>91.8</td>
     </tr>
     <tr>
       <th>60-64</th>
-      <td>1277514</td>
-      <td>88.7</td>
+      <td>1276625</td>
+      <td>88.8</td>
+    </tr>
+    <tr>
+      <th>55-59</th>
+      <td>1508087</td>
+      <td>88.5</td>
     </tr>
   </tbody>
 </table>
diff --git a/released-outputs/opensafely_vaccine_report_overall.pdf b/released-outputs/opensafely_vaccine_report_overall.pdf
index 2944826..3474ea3 100644
Binary files a/released-outputs/opensafely_vaccine_report_overall.pdf and b/released-outputs/opensafely_vaccine_report_overall.pdf differ