diff --git a/lib/create_report.py b/lib/create_report.py
index 809418b..02b7bc9 100644
--- a/lib/create_report.py
+++ b/lib/create_report.py
@@ -9,6 +9,7 @@
 # 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",
                       'sex': "Sex",
                       'bmi':"BMI",   
                       'ethnicity 6 groups':"Ethnicity (broad categories)",
@@ -117,8 +118,8 @@ def find_and_sort_filenames(foldername, *,
                         ]
         sort_order = {key: ix for ix, key in enumerate(ordered_dems)}
     elif by_demographics_or_population=="population":
-        ordered_pops = ['80+', '70-79', 'care home', 'shielding (aged 16-69)', '65-69',
-                         'under 65s, not in other eligible groups shown']
+        ordered_pops = ['80+', '70-79', 'care home', 'shielding (aged 16-69)', '65-69', 'LD (aged 16-64)', '60-64', '55-59', '50-54',
+                         'under 60s, not in other eligible groups shown']
         sort_order = {key: ix for ix, key in enumerate(ordered_pops)}
     else:
         display("sort_by_population_or_demographics received an invalid value")
@@ -260,11 +261,11 @@ def show_table(filename, latest_date_fmt, *, org_breakdown=None, show_carehomes=
         display(Markdown(f"- Population includes those known to live in an elderly care home, based upon clinical coding."))
     elif "shielding" in title:
         display(Markdown(f"- Population excludes those over 65 known to live in an elderly care home, based upon clinical coding."))
-    elif ("80+" in title) | ("70-79" in title) | ("65-69" in title):
+    elif ("80+" in title) | ("70-79" in title) | ("65-69" in title): # don't include under 65s here
         display(Markdown(f"- Population excludes those known to live in an elderly care home, based upon clinical coding."))
     
     # display note that 65-69 and LD group excludes shielding subgroup
-    if ("65-69" in title) | ("LD (aged 16-64)" in title):
+    if ("65-69" in title) | ("60-64" in title)  | ("55-59" in title) | ("50-54" in title) | ("LD (aged 16-64)" in title):
         display(Markdown(f"- Population excludes those who are currently shielding."))
     
     
diff --git a/lib/data_processing.py b/lib/data_processing.py
index 0e3c003..80c5524 100644
--- a/lib/data_processing.py
+++ b/lib/data_processing.py
@@ -80,27 +80,30 @@ def load_data(input_file='input_delivery.csv', input_path="output"):
     df = df.assign(bmi = np.where((df["bmi"]=="Not obese"), "under 30", "30+"))
 
     # drop unnecssary columns or columns created for processing 
-    df = df.drop(["imd","ethnicity_16", "ethnicity", "adrenaline_pen", "has_died", "has_follow_up"], 1)
-
-
-    
-    # shielding: keep flag only for under 70s
-    df["shielded"] = np.where((df["shielded"]==1) & (df["age"]<70), "shielding (aged 16-69)", "")
+    df = df.drop(["imd","ethnicity_16", "ethnicity", 'ethnicity_6_sus',
+       'ethnicity_16_sus', "adrenaline_pen", "has_died", "has_follow_up"], 1)
+
+    # categorise into priority groups (similar to the national groups but not exactly the same)
+    conditions = [
+        (df["care_home"]==1) & (df["age"]>=65),
+        (df["age"]>=80),
+        (df["age"]>=70),
+        (df["shielded"]==1),
+        (df["age"]>=65),
+        (df["LD"]==1),
+        (df["age"]>=60),
+        (df["age"]>=55),
+        (df["age"]>=50)]
+    choices = [3,1,2,4,5,6,7,8,9]
+    # note the numbers here denote the desired sort order in which we want to look at these groups, not the priority order
     
-    ###### care homes #####
-    # amend community age band to remove any care home flags for under 65s 
-    df.loc[(df["ageband_community"]=="care home") & (df["age"]<60), "ageband_community"] = df["ageband"] # 10 yr age band
-    df.loc[(df["ageband_community"]=="care home") & (df["age"]>=60) & (df["age"]<65), "ageband_community"] = "60-64" # 5 yr age band
-
-    # amend community age band to remove any people shielding from the under 70s groups (they will be reported in shielded group) 
-    df.loc[(df["ageband_community"]!="care home") & (df["age"]<70) & (df["shielded"]=="shielding (aged 16-69)"), "ageband_community"] = "shielding (aged 16-69)"
+    # create field "priority_group" which uses the appropriate value from `choices` according to the `conditions` met by each line of data. If none are met, assigns 0.
+    # Eg. for patient aged 71 but not in a care home, patient does not meet the first or second criteria, but meets the third so is assigned to the third of the `choices` i.e. `2`.
+    df['priority_group'] = np.select(conditions, choices, default=0)
 
     # rename column for clarity
     df = df.rename(columns={"shielded_since_feb_15":"newly_shielded_since_feb_15"})
     
-    # LD: keep flag only for under 65s and those not shielding
-    df["LD_group"] = np.where((df["LD"]==1) & (df["age"]<65) &(df["shielded"]==""), "LD (aged 16-64)", "")
-    
     # 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", 
           "chronic_cardiac_disease", "current_copd", "dialysis", "dmards","psychosis_schiz_bipolar",
@@ -110,15 +113,13 @@ def load_data(input_file='input_delivery.csv', input_path="output"):
           "temporary_immunosuppression", "asplenia"]:
           df[c] = np.where(df[c]==1, "yes", "no")
 
-    # rename columns for agebands for consistency
-    df = df.rename(columns={"ageband_community":"community_ageband"})
 
     # get total population sizes and names for each STP
     stps = pd.read_csv(os.path.join("..","lib","stp_dict.csv"), usecols=["stp_id","name","list_size_o80"])
     df = df.merge(stps, left_on="stp", right_on="stp_id", how="left").rename(columns={"name":"stp_name"})
     
     # drop additional columns
-    df = df.drop(["age","stp_id"], 1)  
+    df = df.drop(['registered', 'care_home', 'age',"stp_id", "ageband_community"], 1)  
 
     return df
 
diff --git a/lib/data_quality.py b/lib/data_quality.py
index 7f6d6ea..9aa22e0 100644
--- a/lib/data_quality.py
+++ b/lib/data_quality.py
@@ -7,7 +7,7 @@
 # import custom functions from 'lib' folder
 import sys
 sys.path.append('../lib/')
-from report_results import create_output_dirs, filter_other_group, round7
+from report_results import create_output_dirs, round7
 
 def ethnicity_completeness(df, groups_of_interest):
 
@@ -16,33 +16,24 @@ def ethnicity_completeness(df, groups_of_interest):
     
     Inputs:
     df (dataframe): processed patient-level dataframe containing "ethnicity_6_groups" column,
-                    as well as "community_ageband" (for filtering to given group) and "patient_id" (for counting)
-    group (str): group of interest e.g. "80+"
-    name_of_other_group (str): name to give for the general population who are vaccinated but do not have recorded eligibility factors
-    groups_not_in_other_group (list): groups to exclude from "other" group, i.e. all currently included criteria for eligibility
+                    as well as "group"&""group_name" (to identify vaccine priority group) and "patient_id" (for counting)
+    groups_of_interest (dict): dict mapping names of population/eligible subgroups to integers (1-9, and 0 for "other")
     
     Outputs:
     displays string describing n and % of given group with ethnicity known
     
     '''
     # create copy of df only with cols of interest
-    cols = [v for v in set(groups_of_interest.values()) if v != "other"]
-    cols.extend(["ethnicity_6_groups","patient_id"])   
-        
+    cols = ["group", "group_name", "ethnicity_6_groups","patient_id"]   
+    
     ethnicity_coverage = pd.DataFrame(columns=["group", "n with ethnicity", "total population (n)", "ethnicity coverage (%)"])
     
-    for i, (group_title, group_label) in enumerate(groups_of_interest.items()):
+    
+    for i, (groupname, groupno) in enumerate(groups_of_interest.items()):
         out = df[cols].copy()
         # filter dataframe to eligible group
-        if group_label == "other": # for "all others" filter out the each of the defined groups
-            # we want to exclude all the other eligible groups from the "other" group
-            out = filter_other_group(out, groups_of_interest=groups_of_interest)
-        elif group_label != "community_ageband": # for groups not defined as age bands or care home, filter out care home population
-            out = out.loc[(out["community_ageband"]!="care home") & (out[group_label]==group_title)]
-        # will need a further filter for the "clinically vulnerable" group here
-        else:    # age groups / care home
-            out = out.loc[(out[group_label]==group_title)]
-
+        out = out.loc[(out["group_name"]==groupname)]
+        
         total = round7(out["patient_id"].nunique())
 
         known_eth = out.groupby("ethnicity_6_groups")[["patient_id"]].nunique().reset_index()
@@ -52,11 +43,13 @@ def ethnicity_completeness(df, groups_of_interest):
         
         # export ethnicity coverage stats to text file
         savepath, _, _ = create_output_dirs()
-        ethnicity_coverage.loc[i] = [group_title, known_eth, total, percent]
+        if groupno == 0: # for the other group the denominator is unknown and only vaccinated people are included
+            groupname ="vaccinated "+groupname
+        ethnicity_coverage.loc[i] = [groupname, known_eth, total, percent]
         ethnicity_coverage.to_csv(os.path.join(savepath["text"], "ethnicity_coverage.csv"), index=False)
         
 
-        display(Markdown(f"Total **{group_title}** population with ethnicity recorded {known_eth:,d} ({percent}%)"))
+        display(Markdown(f"Total **{groupname}** population with ethnicity recorded {known_eth:,d} ({percent}%)"))
         
 
     
diff --git a/lib/report_results.py b/lib/report_results.py
index 85679ee..1b3e338 100644
--- a/lib/report_results.py
+++ b/lib/report_results.py
@@ -80,37 +80,23 @@ def find_and_save_latest_date(df, savepath, reference_column_name="covid_vacc_da
     return latest_date, latest_date_fmt
 
 
-def remove_other_key(d):
-    '''
-    Mutate a dictionary to remove key which has value "other"
+def filtering(d):
     '''
+    Find items from the full set of single digit numbers (0-9) which are not present as values in a given dict
     
-    keys = list(d.keys())
-    d2 = d.copy()
-    for key, val in d.items():
-        if val == "other":
-            del d2[key]
-    return d2
-
-
-def filter_other_group(df, groups_of_interest):
-    '''
-    Exclude all the other eligible groups from the "other" group in dataframe provided. "other" should be contained in the groups_of_interest.
+    Inputs:
+    d (dict): a dict mapping strings to numeric `values`
     
-    Args:
-        df (dataframe): input data
-        groups_of_interest (dict): subgroups to breakdown by (and column on which to filter for these groups)
+    Outputs:
+    l (list): a list containing zero and all the single digit numbers (0-9) which do not appear in d
     
-    Returns:
-        df (dataframe)
     '''
-    groups_to_exclude = groups_of_interest.copy()
-    
-    groups_to_exclude = remove_other_key(groups_to_exclude)
-    for group_to_exclude, filter_col in groups_to_exclude.items():
-        df = df.loc[(~df[filter_col].isin([group_to_exclude]))]
-    
-    return df
+    all_keys = [0,1,2,3,4,5,6,7,8,9]
+    keys = list(d.values())
+
+    # check which of `all_keys` are absent in `keys` and return them as a list (but always include 0)
+    l = [k for k in all_keys if ((k not in keys)|(k==0))]
+    return l
 
 
 def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
@@ -119,7 +105,7 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
     
     Args:
         df (dataframe): input data
-        groups_of_interest (dict): subgroups to breakdown by (and column on which to filter for these groups)
+        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"
     
@@ -134,18 +120,16 @@ def cumulative_sums(df, groups_of_interest, features_dict, latest_date):
     # 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. 
-    for group_title, group_label in groups_of_interest.items():
     
-        # filter dataframe to eligible group
-        if group_label == "other": # for "all others" filter out the each of the defined groups
-            out = df.copy()
-            # we want to exclude all the other eligible groups from the "other" group
-            out = filter_other_group(out, groups_of_interest=groups_of_interest)
-        elif group_label != "community_ageband": # for groups not defined as age bands or care home, filter out care home population
-            out = df.copy().loc[(df["community_ageband"]!="care home") & (df[group_label]==group_title)]
-        # will need a further filter for the "clinically vulnerable" group here
-        else:    # age groups / care home
-            out = df.copy().loc[(df[group_label]==group_title)]
+    # 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)
+    df["group"] = np.where(df["priority_group"].isin(items_to_group), 0, df["priority_group"])
+    # translate number into name
+    for name, number in groups_of_interest.items():
+        df.loc[df["group"]==number, "group_name"] = name
+    
+    for group_title, group_label in groups_of_interest.items():
+        out = df.copy().loc[(df["group"]==group_label)]
             
         # define columns to include, ie. a list of features of interest (e.g. ageband, ethnicity) per population group 
         if group_title in features_dict:
@@ -213,7 +197,6 @@ def filtered_cumulative_sum(df, columns, latest_date):
     
     # figures by demographic/clinical features
     for feature in columns:
-        
         if feature=="sex":
             df = df.loc[df[feature].isin(["M","F"])]
 
@@ -248,7 +231,7 @@ def filtered_cumulative_sum(df, columns, latest_date):
     return df_dict_temp
 
 
-def make_vaccine_graphs(df, latest_date, savepath, savepath_figure_csvs, name_of_other_group="other", suffix=""):
+def make_vaccine_graphs(df, latest_date, savepath, savepath_figure_csvs, suffix=""):
     '''
     Cumulative chart by day of total vaccines given across key eligible groups
     
@@ -257,21 +240,14 @@ def make_vaccine_graphs(df, latest_date, savepath, savepath_figure_csvs, name_of
         latest_date (str): latest date across dataset in YYYY-MM-DD format
         savepath (dict): path to save figure as svg (savepath["figures"])
         savepath_figure_csvs (str): path to save machine readable csv for recreating the chart
-        name_of_other_group (str): option to rename "other" group as something more descriptive 
+        groups_of_interest (dict): population subgroups 
     '''
     
     dfp = df.copy().loc[(df["covid_vacc_date"]!=0)]
-    
-    dfp["group"] = np.where( dfp["community_ageband"].isin(["80+","70-79","care home", "65-69"]), 
-                            dfp["community_ageband"], "other" )
-    # separate shielding and LD groups out from "other" group
-    dfp["group"] = np.where( (dfp["shielded"]=="shielding (aged 16-69)") & (dfp["group"]=="other"), "shielding (aged 16-69)", dfp["group"] )
-    dfp["group"] = np.where( (dfp["LD_group"]=="LD (aged 16-64)") & (dfp["group"]=="other"), "LD (aged 16-64)", dfp["group"] )
-    
-    dfp = dfp.groupby(["covid_vacc_date","group"])[["patient_id"]].count()  
+
+    dfp = dfp.groupby(["covid_vacc_date","group_name"])[["patient_id"]].count()  
     dfp = dfp.unstack().fillna(0).cumsum().reset_index().replace([0,1,2,3,4,5,6],0) 
     
-    dfp = dfp.rename(columns={"other":name_of_other_group})
     dfp["covid_vacc_date"] = pd.to_datetime(dfp["covid_vacc_date"]).dt.strftime("%d %b")
     dfp = dfp.set_index("covid_vacc_date")
     dfp = round7(dfp)
diff --git a/notebooks/opensafely_vaccine_report_overall.ipynb b/notebooks/opensafely_vaccine_report_overall.ipynb
index b847819..e18b57f 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 **08 Mar 2021**"
+       "### Report last updated **23 Mar 2021**"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -77,6 +77,7 @@
     " - <a href=#charts70>70-79 population</a>\n",
     " - <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=#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>"
@@ -122,7 +123,7 @@
     {
      "data": {
       "text/markdown": [
-       "**80+** population vaccinated: 2,667 (39.9% of 6,685)"
+       "**80+** population vaccinated: 882 (41.7% of 2,114)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -134,7 +135,7 @@
     {
      "data": {
       "text/markdown": [
-       "**70-79** population vaccinated: 2,891 (39.5% of 7,315)"
+       "**70-79** population vaccinated: 1,421 (40.5% of 3,514)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -146,7 +147,7 @@
     {
      "data": {
       "text/markdown": [
-       "**care home** population vaccinated: 490 (42.3% of 1,155)"
+       "**care home** population vaccinated: 532 (37.5% of 1,414)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -158,7 +159,7 @@
     {
      "data": {
       "text/markdown": [
-       "**shielding (aged 16-69)** population vaccinated: 161 (38.2% of 427)"
+       "**shielding (aged 16-69)** population vaccinated: 161 (38.6% of 420)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -170,7 +171,7 @@
     {
      "data": {
       "text/markdown": [
-       "**65-69** population vaccinated: 1,260 (41.3% of 3,059)"
+       "**65-69** population vaccinated: 868 (40.4% of 2,149)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -194,7 +195,19 @@
     {
      "data": {
       "text/markdown": [
-       "**under 65s, not in other eligible groups shown** population vaccinated: 12,327"
+       "**60-64** population vaccinated: 1,008 (39.2% of 2,576)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**under 60s, not in other eligible groups shown** population vaccinated: 14,812"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -310,7 +323,7 @@
     {
      "data": {
       "image/svg+xml": [
-       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" height=\"305.930313pt\" version=\"1.1\" viewBox=\"0 0 569.346687 305.930313\" width=\"569.346687pt\">\n",
+       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" height=\"305.930313pt\" version=\"1.1\" viewBox=\"0 0 683.6295 305.930313\" width=\"683.6295pt\">\n",
        " <defs>\n",
        "  <style type=\"text/css\">\n",
        "*{stroke-linecap:butt;stroke-linejoin:round;}\n",
@@ -318,7 +331,7 @@
        " </defs>\n",
        " <g id=\"figure_1\">\n",
        "  <g id=\"patch_1\">\n",
-       "   <path d=\"M 0 305.930313  L 569.346687 305.930313  L 569.346687 0  L 0 0  z \" style=\"fill:#ffffff;\"/>\n",
+       "   <path d=\"M 0 305.930313  L 683.6295 305.930313  L 683.6295 0  L 0 0  z \" style=\"fill:#ffffff;\"/>\n",
        "  </g>\n",
        "  <g id=\"axes_1\">\n",
        "   <g id=\"patch_2\">\n",
@@ -328,10 +341,10 @@
        "    <g id=\"xtick_1\">\n",
        "     <g id=\"line2d_1\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m33dddcd3c5\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m7b9635b59e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
        "      </defs>\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"74.908807\" xlink:href=\"#m33dddcd3c5\" y=\"242.7975\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"74.908807\" xlink:href=\"#m7b9635b59e\" y=\"242.7975\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -357,7 +370,7 @@
        "    <g id=\"xtick_2\">\n",
        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"145.691048\" xlink:href=\"#m33dddcd3c5\" y=\"242.7975\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"145.691048\" xlink:href=\"#m7b9635b59e\" y=\"242.7975\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_2\">\n",
@@ -378,7 +391,7 @@
        "    <g id=\"xtick_3\">\n",
        "     <g id=\"line2d_3\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"216.473289\" xlink:href=\"#m33dddcd3c5\" y=\"242.7975\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"216.473289\" xlink:href=\"#m7b9635b59e\" y=\"242.7975\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_3\">\n",
@@ -403,7 +416,7 @@
        "    <g id=\"xtick_4\">\n",
        "     <g id=\"line2d_4\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.25553\" xlink:href=\"#m33dddcd3c5\" y=\"242.7975\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"287.25553\" xlink:href=\"#m7b9635b59e\" y=\"242.7975\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_4\">\n",
@@ -426,7 +439,7 @@
        "    <g id=\"xtick_5\">\n",
        "     <g id=\"line2d_5\">\n",
        "      <g>\n",
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+       "      <use x=\"2212.126953\" xlink:href=\"#DejaVuSans-110\"/>\n",
        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_27\">\n",
+       "    <g id=\"line2d_28\">\n",
        "     <path d=\"M 416.882625 67.812187  L 436.882625 67.812187  \" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_28\"/>\n",
+       "    <g id=\"line2d_29\"/>\n",
        "    <g id=\"text_20\">\n",
        "     <!-- 70-79 -->\n",
        "     <g transform=\"translate(444.882625 71.312187)scale(0.1 -0.1)\">\n",
@@ -810,31 +871,45 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_29\">\n",
+       "    <g id=\"line2d_30\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_30\"/>\n",
+       "    <g id=\"line2d_31\"/>\n",
        "    <g id=\"text_21\">\n",
-       "     <!-- 80+ -->\n",
+       "     <!-- 60-64 -->\n",
        "     <defs>\n",
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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\"/>\n",
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        "     <g transform=\"translate(444.882625 85.990313)scale(0.1 -0.1)\">\n",
-       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_31\">\n",
+       "    <g id=\"line2d_32\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_32\"/>\n",
+       "    <g id=\"line2d_33\"/>\n",
        "    <g id=\"text_22\">\n",
-       "     <!-- 65-69 -->\n",
+       "     <!-- 80+ -->\n",
        "     <defs>\n",
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+       "      <path d=\"M 46 62.703125  L 46 35.5  L 73.1875 35.5  L 73.1875 27.203125  L 46 27.203125  L 46 0  L 37.796875 0  L 37.796875 27.203125  L 10.59375 27.203125  L 10.59375 35.5  L 37.796875 35.5  L 37.796875 62.703125  z \" id=\"DejaVuSans-43\"/>\n",
        "     </defs>\n",
        "     <g transform=\"translate(444.882625 100.668438)scale(0.1 -0.1)\">\n",
+       "      <use xlink:href=\"#DejaVuSans-56\"/>\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"line2d_34\">\n",
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+       "    </g>\n",
+       "    <g id=\"line2d_35\"/>\n",
+       "    <g id=\"text_23\">\n",
+       "     <!-- 65-69 -->\n",
+       "     <g transform=\"translate(444.882625 115.346563)scale(0.1 -0.1)\">\n",
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@@ -842,13 +917,13 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_33\">\n",
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+       "    <g id=\"line2d_36\">\n",
+       "     <path d=\"M 416.882625 126.524687  L 436.882625 126.524687  \" style=\"fill:none;stroke:#e377c2;stroke-linecap:square;stroke-width:1.5;\"/>\n",
        "    </g>\n",
-       "    <g id=\"line2d_34\"/>\n",
-       "    <g id=\"text_23\">\n",
+       "    <g id=\"line2d_37\"/>\n",
+       "    <g id=\"text_24\">\n",
        "     <!-- care home -->\n",
-       "     <g transform=\"translate(444.882625 115.346563)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(444.882625 130.024687)scale(0.1 -0.1)\">\n",
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@@ -860,20 +935,18 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_35\">\n",
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+       "    <g id=\"line2d_38\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_36\"/>\n",
-       "    <g id=\"text_24\">\n",
+       "    <g id=\"line2d_39\"/>\n",
+       "    <g id=\"text_25\">\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 130.024687)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(444.882625 144.702812)scale(0.1 -0.1)\">\n",
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@@ -891,13 +964,13 @@
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        "     </g>\n",
        "    </g>\n",
-       "    <g id=\"line2d_37\">\n",
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+       "    <g id=\"line2d_40\">\n",
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        "    </g>\n",
-       "    <g id=\"line2d_38\"/>\n",
-       "    <g id=\"text_25\">\n",
+       "    <g id=\"line2d_41\"/>\n",
+       "    <g id=\"text_26\">\n",
        "     <!-- shielding (aged 16-69) -->\n",
-       "     <g transform=\"translate(444.882625 144.702812)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(444.882625 159.380937)scale(0.1 -0.1)\">\n",
        "      <use xlink:href=\"#DejaVuSans-115\"/>\n",
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@@ -926,7 +999,7 @@
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
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        "  </clipPath>\n",
        " </defs>\n",
@@ -1007,10 +1080,10 @@
        "    <g id=\"xtick_1\">\n",
        "     <g id=\"line2d_1\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m9915ae33a1\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
+       "       <path d=\"M 0 0  L 0 3.5  \" id=\"m4eaabe1e26\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m9915ae33a1\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_1\">\n",
@@ -1036,7 +1109,7 @@
        "    <g id=\"xtick_2\">\n",
        "     <g id=\"line2d_2\">\n",
        "      <g>\n",
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+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"126.603548\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
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        "     <g id=\"text_2\">\n",
@@ -1057,7 +1130,7 @@
        "    <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=\"#m9915ae33a1\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"197.385789\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
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        "     <g id=\"text_3\">\n",
@@ -1082,7 +1155,7 @@
        "    <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=\"#m9915ae33a1\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
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@@ -1105,7 +1178,7 @@
        "    <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=\"#m9915ae33a1\" y=\"224.64\"/>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#m4eaabe1e26\" y=\"224.64\"/>\n",
        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_5\">\n",
@@ -1151,15 +1224,15 @@
        "    <g id=\"ytick_1\">\n",
        "     <g id=\"line2d_6\">\n",
        "      <defs>\n",
-       "       <path d=\"M 0 0  L -3.5 0  \" id=\"m049f8362cc\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n",
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        "     <g id=\"text_7\">\n",
        "      <!-- 0 -->\n",
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        "      </g>\n",
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@@ -1167,12 +1240,12 @@
        "    <g id=\"ytick_2\">\n",
        "     <g id=\"line2d_7\">\n",
        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m049f8362cc\" y=\"169.467116\"/>\n",
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        "      </g>\n",
        "     </g>\n",
        "     <g id=\"text_8\">\n",
        "      <!-- 10 -->\n",
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-       "    <g id=\"text_14\">\n",
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        "    </g>\n",
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-       "    <g id=\"text_15\">\n",
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        "    </g>\n",
-       "    <g id=\"text_12\">\n",
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        "     </defs>\n",
-       "     <g transform=\"translate(429.143125 56.343976)scale(0.1 -0.1)\">\n",
+       "     <g transform=\"translate(429.143125 53.154688)scale(0.1 -0.1)\">\n",
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@@ -11500,13 +11642,13 @@
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        "    </g>\n",
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-       "    <g id=\"line2d_36\"/>\n",
-       "    <g id=\"text_18\">\n",
+       "    <g id=\"line2d_35\"/>\n",
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+       "     <g transform=\"translate(429.143125 67.832813)scale(0.1 -0.1)\">\n",
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-       "    <g id=\"line2d_38\"/>\n",
-       "    <g id=\"text_19\">\n",
+       "    <g id=\"line2d_37\"/>\n",
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        "    </g>\n",
-       "    <g id=\"line2d_40\"/>\n",
-       "    <g id=\"text_20\">\n",
+       "    <g id=\"line2d_39\"/>\n",
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@@ -11542,13 +11684,13 @@
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        "    </g>\n",
-       "    <g id=\"line2d_42\"/>\n",
-       "    <g id=\"text_21\">\n",
+       "    <g id=\"line2d_41\"/>\n",
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        "    </g>\n",
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        "    </g>\n",
-       "    <g id=\"line2d_44\"/>\n",
-       "    <g id=\"text_22\">\n",
+       "    <g id=\"line2d_43\"/>\n",
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-       "    <g id=\"line2d_46\"/>\n",
-       "    <g id=\"text_23\">\n",
+       "    <g id=\"line2d_45\"/>\n",
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-       "    <g id=\"line2d_48\"/>\n",
-       "    <g id=\"text_24\">\n",
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-       "    <g id=\"line2d_50\"/>\n",
-       "    <g id=\"text_25\">\n",
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@@ -11612,13 +11754,13 @@
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-       "    <g id=\"text_26\">\n",
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-       "    <g id=\"text_27\">\n",
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-       "    <g id=\"text_28\">\n",
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-       "    <g id=\"text_30\">\n",
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@@ -11687,8 +11829,8 @@
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-       "      <g transform=\"translate(38.193963 239.238437)scale(0.1 -0.1)\">\n",
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        "      <g>\n",
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        "    <g id=\"xtick_5\">\n",
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        "      <g>\n",
-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"213.932287\" xlink:href=\"#ma913620c32\" y=\"224.64\"/>\n",
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        "      <!-- 21 Jan -->\n",
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-       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"253.460032\" xlink:href=\"#ma913620c32\" y=\"224.64\"/>\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",
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        "     <g id=\"text_7\">\n",
        "      <!-- 11 Feb -->\n",
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        "      <g>\n",
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        "      <!-- 22 Feb -->\n",
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-       "      <g transform=\"translate(236.385813 239.238437)scale(0.1 -0.1)\">\n",
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-    "# \n",
-    "## Vaccination rates of each eligible population group, according to demographic/clinical features  <a name='tables' />"
-   ]
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    "cell_type": "code",
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     {
      "data": {
       "text/markdown": [
-       "## \n",
-       " ## Cumulative vaccination figures among 80+ population \n",
-       " Please refer to footnotes below table for information."
+       "## 60-64 population"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
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-       "  <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>2670</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6685</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>1372</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>3444</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>1295</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>3241</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
-       "      <td>147</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>420</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>1.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0-15</th>\n",
-       "      <td>147</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>392</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>5.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16-29</th>\n",
-       "      <td>147</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>406</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-34</th>\n",
-       "      <td>168</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>427</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>4.9</td>\n",
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-       "    <tr>\n",
-       "      <th>35-39</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
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-       "    <tr>\n",
-       "      <th>40-44</th>\n",
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-       "      <td>420</td>\n",
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-       "      <td>5.0</td>\n",
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-       "      <th>45-49</th>\n",
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-       "      <td>434</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>6.4</td>\n",
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-       "    <tr>\n",
-       "      <th>50-54</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",
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-       "    <tr>\n",
-       "      <th>55-59</th>\n",
-       "      <td>175</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>434</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.2</td>\n",
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-       "    <tr>\n",
-       "      <th>60-64</th>\n",
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-       "      <td>41.4</td>\n",
-       "      <td>406</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>3.5</td>\n",
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-       "    <tr>\n",
-       "      <th>65-69</th>\n",
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-       "      <td>406</td>\n",
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-       "      <td>3.5</td>\n",
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-       "    <tr>\n",
-       "      <th>70-74</th>\n",
-       "      <td>161</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>5.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75-79</th>\n",
-       "      <td>189</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>434</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>80-84</th>\n",
-       "      <td>154</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>427</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>85-89</th>\n",
-       "      <td>175</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>385</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>5.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>90+</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>441</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>483</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>1120</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>3.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>441</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>1106</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>469</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1162</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>434</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>1148</td>\n",
-       "      <td>34.1</td>\n",
-       "      <td>3.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>392</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>1001</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>448</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>1148</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
-       "      <th>African</th>\n",
-       "      <td>147</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>364</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>1.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>140</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>371</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>3.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>147</td>\n",
-       "      <td>41.2</td>\n",
+      "text/markdown": [
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Sex"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
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+       "      </defs>\n",
+       "      <g transform=\"translate(181.726414 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=\"xtick_4\">\n",
+       "     <g id=\"line2d_4\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </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(251.093811 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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+       "      </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=\"338.950271\" xlink:href=\"#m259365fac6\" 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",
+       "       <use xlink:href=\"#DejaVuSans-50\"/>\n",
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+       "       <use x=\"277.998047\" xlink:href=\"#DejaVuSans-98\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_6\">\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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+       "      <use x=\"754.394531\" xlink:href=\"#DejaVuSans-100\"/>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "   </g>\n",
+       "   <g id=\"matplotlib.axis_2\">\n",
+       "    <g id=\"ytick_1\">\n",
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+       "      <defs>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_7\">\n",
+       "      <!-- 0 -->\n",
+       "      <g transform=\"translate(27.240625 221.619629)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_2\">\n",
+       "     <g id=\"line2d_7\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_8\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 173.357916)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_9\">\n",
+       "      <!-- 20 -->\n",
+       "      <g transform=\"translate(20.878125 125.096203)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_9\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m7722ffb158\" y=\"73.035271\"/>\n",
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+       "     </g>\n",
+       "     <g id=\"text_10\">\n",
+       "      <!-- 30 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 76.83449)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
+       "    <g id=\"ytick_5\">\n",
+       "     <g id=\"line2d_10\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_11\">\n",
+       "      <!-- 40 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 28.572777)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_12\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Ethnicity (broad categories)"
+      ],
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+       "<IPython.core.display.Markdown object>"
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+       "     <g id=\"text_5\">\n",
+       "      <!-- 27 Feb -->\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_6\">\n",
+       "     <!-- Date vaccinated -->\n",
+       "     <defs>\n",
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+       "    <g id=\"text_12\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+      "text/markdown": [
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Index of Multiple Deprivation (quintiles)"
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+       "      <g transform=\"translate(181.726414 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",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"268.16803\" xlink:href=\"#me6c21cd849\" y=\"224.64\"/>\n",
+       "      </g>\n",
+       "     </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(251.093811 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",
+       "     <g id=\"line2d_5\">\n",
+       "      <g>\n",
+       "       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"338.950271\" xlink:href=\"#me6c21cd849\" 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",
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+       "       <use x=\"277.998047\" xlink:href=\"#DejaVuSans-98\"/>\n",
+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_6\">\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",
+       "    <g id=\"ytick_1\">\n",
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+       "      <defs>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_7\">\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>\n",
+       "    <g id=\"ytick_2\">\n",
+       "     <g id=\"line2d_7\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_8\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 172.976262)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",
+       "     </g>\n",
+       "     <g id=\"text_9\">\n",
+       "      <!-- 20 -->\n",
+       "      <g transform=\"translate(20.878125 126.967219)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_9\">\n",
+       "      <g>\n",
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+       "     </g>\n",
+       "     <g id=\"text_10\">\n",
+       "      <!-- 30 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 80.958175)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
+       "    <g id=\"ytick_5\">\n",
+       "     <g id=\"line2d_10\">\n",
+       "      <g>\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_11\">\n",
+       "      <!-- 40 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 34.949132)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_12\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by BMI"
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+       "      <!-- 29 Dec -->\n",
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+       "      <!-- 07 Feb -->\n",
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+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Chronic cardiac disease"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
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+      "text/markdown": [
+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Current COPD"
+      ],
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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",
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+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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+       "      </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(321.876052 239.238437)scale(0.1 -0.1)\">\n",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_6\">\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",
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+       "     <g id=\"text_7\">\n",
+       "      <!-- 0 -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_2\">\n",
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+       "     <g id=\"text_8\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 170.754939)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
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+       "     <g id=\"text_9\">\n",
+       "      <!-- 20 -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_9\">\n",
+       "      <g>\n",
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+       "     </g>\n",
+       "     <g id=\"text_10\">\n",
+       "      <!-- 30 -->\n",
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+       "      <g transform=\"translate(20.878125 74.284093)scale(0.1 -0.1)\">\n",
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+       "    </g>\n",
+       "    <g id=\"ytick_5\">\n",
+       "     <g id=\"line2d_10\">\n",
+       "      <g>\n",
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+       "     </g>\n",
+       "     <g id=\"text_11\">\n",
+       "      <!-- 40 -->\n",
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+       "      <g transform=\"translate(20.878125 26.048671)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_12\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Dementia"
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+       "      <!-- 07 Feb -->\n",
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by Psychosis, schizophrenia, or bipolar"
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+       "### COVID vaccinations among 60-64 population\n",
+       " ### by SSRI (last 12 months)"
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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",
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+       "       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n",
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+       "      </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=\"338.950271\" xlink:href=\"#m955d7dfc88\" 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",
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+       "      </g>\n",
+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_6\">\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>\n",
+       "     <g id=\"text_7\">\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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+       "      </g>\n",
+       "     </g>\n",
+       "     <g id=\"text_8\">\n",
+       "      <!-- 10 -->\n",
+       "      <g transform=\"translate(20.878125 171.059219)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_3\">\n",
+       "     <g id=\"line2d_8\">\n",
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+       "     <g id=\"text_9\">\n",
+       "      <!-- 20 -->\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"ytick_4\">\n",
+       "     <g id=\"line2d_9\">\n",
+       "      <g>\n",
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+       "     <g id=\"text_10\">\n",
+       "      <!-- 30 -->\n",
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+       "      <g transform=\"translate(20.878125 75.207045)scale(0.1 -0.1)\">\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",
+       "      <!-- 40 -->\n",
+       "      <defs>\n",
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+       "      <g transform=\"translate(20.878125 27.280958)scale(0.1 -0.1)\">\n",
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+       "     </g>\n",
+       "    </g>\n",
+       "    <g id=\"text_12\">\n",
+       "     <!-- Percent vaccinated (cumulative) -->\n",
+       "     <defs>\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",
+    "## 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."
+      ],
+      "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 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",
+       "    <tr>\n",
+       "      <th>45-49</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>50-54</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>55-59</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>60-64</th>\n",
+       "      <td>49</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>112</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>0.0</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>35.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70-74</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>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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85-89</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>90+</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 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>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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Chinese</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</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",
+       "    </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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Indian or British Indian</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>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",
+       "    </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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pakistani or British Pakistani</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>Unknown</th>\n",
+       "      <td>133</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>315</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White + Asian</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>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",
+       "    </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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>161</td>\n",
-       "      <td>46.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6.0</td>\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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>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",
+       "    </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",
+       "    </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>2093</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>4.0</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",
+       "    </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>37.5</td>\n",
+       "      <td>4.3</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\">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",
+       "    </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",
+       "    </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",
+       "    </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>0.0</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",
+       "    </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>0.0</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</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",
+       "    </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",
+       "    </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",
+       "    </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\">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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</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",
+       "    </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>0.0</td>\n",
+       "    </tr>\n",
+       "    <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>2093</td>\n",
+       "      <td>37.8</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
+       "      <td>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",
+       "    </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",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
+       "Category                                  Group                                                           \n",
+       "overall                                   overall                                                   881   \n",
+       "Sex                                       F                                                         462   \n",
+       "                                          M                                                         420   \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",
+       "                                          50-54                                                      56   \n",
+       "                                          55-59                                                      42   \n",
+       "                                          60-64                                                      49   \n",
+       "                                          65-69                                                      56   \n",
+       "                                          70-74                                                      56   \n",
+       "                                          75-79                                                      56   \n",
+       "                                          80-84                                                      63   \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",
+       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           168   \n",
+       "                                          2                                                         161   \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",
+       "                                          yes                                                         7   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                        875   \n",
+       "                                          yes                                                         7   \n",
+       "Learning disability                       no                                                        861   \n",
+       "                                          yes                                                        21   \n",
+       "SSRI (last 12 months)                     no                                                        875   \n",
+       "                                          yes                                                         7   \n",
+       "Chemo or radiotherapy                     no                                                        875   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (lung)                             no                                                        875   \n",
+       "                                          yes                                                         0   \n",
+       "Cancer (excluding lung/haem)              no                                                        875   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (haematological)                   no                                                        868   \n",
+       "                                          yes                                                        14   \n",
+       "\n",
+       "                                                                               Vaccinated at 05 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",
+       "                                          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",
+       "                                          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",
+       "                                          yes                                                       0.0   \n",
+       "Current COPD                              no                                                       41.8   \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",
+       "                                          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",
+       "                                          yes                                                      33.3   \n",
+       "Cancer (lung)                             no                                                       41.8   \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",
+       "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",
+       "                                          45-49                                           126   \n",
+       "                                          50-54                                           140   \n",
+       "                                          55-59                                           112   \n",
+       "                                          60-64                                           112   \n",
+       "                                          65-69                                           140   \n",
+       "                                          70-74                                           147   \n",
+       "                                          75-79                                           126   \n",
+       "                                          80-84                                           140   \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",
+       "                                           Chinese                                        112   \n",
+       "                                           Other                                          105   \n",
+       "                                           Other Asian                                    112   \n",
+       "                                          British or Mixed British                         84   \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",
+       "                                          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",
+       "                                          4                                               399   \n",
+       "                                          5 Least deprived                                399   \n",
+       "                                          Unknown                                         133   \n",
+       "BMI                                       30+                                             630   \n",
+       "                                          under 30                                       1484   \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",
+       "                                          yes                                              14   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                             2093   \n",
+       "                                          yes                                              21   \n",
+       "Learning disability                       no                                             2065   \n",
+       "                                          yes                                              49   \n",
+       "SSRI (last 12 months)                     no                                             2093   \n",
+       "                                          yes                                              21   \n",
+       "Chemo or radiotherapy                     no                                             2093   \n",
+       "                                          yes                                              21   \n",
+       "Cancer (lung)                             no                                             2093   \n",
+       "                                          yes                                              21   \n",
+       "Cancer (excluding lung/haem)              no                                             2093   \n",
+       "                                          yes                                              21   \n",
+       "Cancer (haematological)                   no                                             2086   \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",
+       "                                          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",
+       "                                           Chinese                                                                 37.5   \n",
+       "                                           Other                                                                   53.3   \n",
+       "                                           Other Asian                                                             43.8   \n",
+       "                                          British or Mixed British                                                 33.3   \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",
+       "                                          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",
+       "Current COPD                              no                                                                       37.5   \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",
+       "                                          yes                                                                       0.0   \n",
+       "Learning disability                       no                                                                       37.6   \n",
+       "                                          yes                                                                      28.6   \n",
+       "SSRI (last 12 months)                     no                                                                       37.5   \n",
+       "                                          yes                                                                      33.3   \n",
+       "Chemo or radiotherapy                     no                                                                       37.8   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Cancer (lung)                             no                                                                       37.8   \n",
+       "                                          yes                                                                       0.0   \n",
+       "Cancer (excluding lung/haem)              no                                                                       37.8   \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",
+       "                                          60-64                                                        0.0  \n",
+       "                                          65-69                                                        5.0  \n",
+       "                                          70-74                                                        4.8  \n",
+       "                                          75-79                                                        5.5  \n",
+       "                                          80-84                                                        0.0  \n",
+       "                                          85-89                                                        0.0  \n",
+       "                                          90+                                                          0.0  \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",
+       "                                          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",
+       "                                          Unknown                                                      0.0  \n",
+       "BMI                                       30+                                                          3.3  \n",
+       "                                          under 30                                                     4.2  \n",
+       "Chronic cardiac disease                   no                                                           4.0  \n",
+       "                                          yes                                                          0.0  \n",
+       "Current COPD                              no                                                           4.3  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dialysis                                  no                                                           4.0  \n",
+       "                                          yes                                                          0.0  \n",
+       "DMARDs                                    no                                                           4.3  \n",
+       "                                          yes                                                          0.0  \n",
+       "Dementia                                  no                                                           4.3  \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",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           4.0  \n",
+       "                                          yes                                                         33.3  \n",
+       "Cancer (lung)                             no                                                           4.0  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           4.0  \n",
+       "                                          yes                                                         33.3  \n",
+       "Cancer (haematological)                   no                                                           4.0  \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>"
+      ]
+     },
+     "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 70-79 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",
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+       "\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>1422</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>3514</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>3.4</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",
+       "    </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>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55-59</th>\n",
+       "      <td>91</td>\n",
+       "      <td>44.8</td>\n",
+       "      <td>203</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3.4</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80-84</th>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>36.7</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",
+       "    </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",
+       "    </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",
+       "    </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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>140</td>\n",
+       "      <td>224</td>\n",
+       "      <td>38.6</td>\n",
+       "      <td>581</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>2.5</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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>White</th>\n",
+       "      <td>245</td>\n",
        "      <td>41.7</td>\n",
-       "      <td>336</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
+       "      <td>588</td>\n",
+       "      <td>36.9</td>\n",
+       "      <td>4.8</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\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>98</td>\n",
+       "      <td>45.2</td>\n",
+       "      <td>217</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>6.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>112</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>329</td>\n",
-       "      <td>31.9</td>\n",
-       "      <td>2.1</td>\n",
+       "      <td>70</td>\n",
+       "      <td>43.5</td>\n",
+       "      <td>161</td>\n",
+       "      <td>39.1</td>\n",
+       "      <td>4.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>133</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>364</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>2.0</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>Other Black</th>\n",
-       "      <td>140</td>\n",
+       "      <td>70</td>\n",
        "      <td>37.0</td>\n",
-       "      <td>378</td>\n",
-       "      <td>35.2</td>\n",
-       "      <td>1.8</td>\n",
+       "      <td>189</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>154</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.6</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 mixed</th>\n",
-       "      <td>133</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>343</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>6.1</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>154</td>\n",
-       "      <td>44.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>4.0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>406</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>1022</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>238</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>574</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>4.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>147</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>336</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>77</td>\n",
+       "      <td>35.5</td>\n",
+       "      <td>217</td>\n",
+       "      <td>32.3</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>119</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>329</td>\n",
-       "      <td>31.9</td>\n",
-       "      <td>4.3</td>\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>White + Black Caribbean</th>\n",
-       "      <td>154</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>364</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1.9</td>\n",
+       "      <td>70</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>189</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.7</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>511</td>\n",
-       "      <td>40.8</td>\n",
-       "      <td>1253</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>4.5</td>\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>546</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>1295</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>3.8</td>\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>518</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>1246</td>\n",
+       "      <td>301</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>714</td>\n",
        "      <td>38.2</td>\n",
-       "      <td>3.4</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>469</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>1281</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>259</td>\n",
+       "      <td>39.8</td>\n",
+       "      <td>651</td>\n",
+       "      <td>35.5</td>\n",
+       "      <td>4.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>518</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>2.7</td>\n",
+       "      <td>252</td>\n",
+       "      <td>38.7</td>\n",
+       "      <td>651</td>\n",
+       "      <td>36.6</td>\n",
+       "      <td>2.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>112</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>322</td>\n",
-       "      <td>30.4</td>\n",
-       "      <td>4.4</td>\n",
+       "      <td>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
        "      <th>30+</th>\n",
-       "      <td>763</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>2.8</td>\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>1904</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>4697</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>3.7</td>\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>2632</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6601</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>3472</td>\n",
+       "      <td>36.9</td>\n",
+       "      <td>3.4</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>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 rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>3486</td>\n",
+       "      <td>36.9</td>\n",
        "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\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>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Dialysis</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>3472</td>\n",
+       "      <td>36.9</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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",
+       "      <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 rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>3.4</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>0.0</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>20.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.5</td>\n",
+       "      <td>1414</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>3486</td>\n",
+       "      <td>37.1</td>\n",
        "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30.0</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\">Psychosis, schizophrenia, or bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>1414</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37.2</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
+       "      <td>14</td>\n",
        "      <td>40.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>20.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
        "      <th>no</th>\n",
-       "      <td>2604</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6517</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>1393</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>3437</td>\n",
+       "      <td>36.9</td>\n",
        "      <td>3.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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>35</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 rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.5</td>\n",
+       "      <td>1414</td>\n",
+       "      <td>40.6</td>\n",
+       "      <td>3486</td>\n",
+       "      <td>37.1</td>\n",
        "      <td>3.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
+       "      <td>7</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>11.1</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\">Chemo or radiotherapy</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</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>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6622</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>55.6</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>11.2</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>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>1400</td>\n",
+       "      <td>40.2</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>20.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>3472</td>\n",
+       "      <td>37.1</td>\n",
+       "      <td>3.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>20.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -20025,388 +25285,388 @@
       "text/plain": [
        "                                                                               Vaccinated at 05 Mar (n)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  2670   \n",
-       "Sex                                       F                                                        1372   \n",
-       "                                          M                                                        1295   \n",
-       "Age band                                  0                                                         147   \n",
-       "                                          0-15                                                      147   \n",
-       "                                          16-29                                                     147   \n",
-       "                                          30-34                                                     168   \n",
-       "                                          35-39                                                     189   \n",
-       "                                          40-44                                                     175   \n",
-       "                                          45-49                                                     175   \n",
-       "                                          50-54                                                     161   \n",
-       "                                          55-59                                                     175   \n",
-       "                                          60-64                                                     168   \n",
-       "                                          65-69                                                     161   \n",
-       "                                          70-74                                                     161   \n",
-       "                                          75-79                                                     189   \n",
-       "                                          80-84                                                     154   \n",
-       "                                          85-89                                                     175   \n",
-       "                                          90+                                                       189   \n",
-       "Ethnicity (broad categories)              Black                                                     483   \n",
-       "                                          Mixed                                                     441   \n",
-       "                                          Other                                                     469   \n",
-       "                                          South Asian                                               434   \n",
-       "                                          Unknown                                                   392   \n",
-       "                                          White                                                     448   \n",
-       "ethnicity 16 groups                        African                                                  147   \n",
-       "                                           Bangladeshi or British Bangladeshi                       140   \n",
-       "                                           Caribbean                                                147   \n",
-       "                                           Chinese                                                  161   \n",
-       "                                           Other                                                    140   \n",
-       "                                           Other Asian                                              140   \n",
-       "                                          British or Mixed British                                  112   \n",
-       "                                          Indian or British Indian                                  133   \n",
-       "                                          Irish                                                     140   \n",
-       "                                          Other Black                                               140   \n",
-       "                                          Other White                                               154   \n",
-       "                                          Other mixed                                               133   \n",
-       "                                          Pakistani or British Pakistani                            154   \n",
-       "                                          Unknown                                                   406   \n",
-       "                                          White + Asian                                             147   \n",
-       "                                          White + Black African                                     119   \n",
-       "                                          White + Black Caribbean                                   154   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           511   \n",
-       "                                          2                                                         546   \n",
-       "                                          3                                                         518   \n",
-       "                                          4                                                         469   \n",
-       "                                          5 Least deprived                                          518   \n",
-       "                                          Unknown                                                   112   \n",
-       "BMI                                       30+                                                       763   \n",
-       "                                          under 30                                                 1904   \n",
-       "Chronic cardiac disease                   no                                                       2632   \n",
-       "                                          yes                                                        35   \n",
-       "Current COPD                              no                                                       2639   \n",
-       "                                          yes                                                        28   \n",
-       "Dialysis                                  no                                                       2646   \n",
-       "                                          yes                                                        28   \n",
-       "DMARDs                                    no                                                       2646   \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",
-       "Dementia                                  no                                                       2646   \n",
+       "DMARDs                                    no                                                       1407   \n",
        "                                          yes                                                        21   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       2639   \n",
-       "                                          yes                                                        28   \n",
-       "Learning disability                       no                                                       2604   \n",
-       "                                          yes                                                        63   \n",
-       "SSRI (last 12 months)                     no                                                       2646   \n",
-       "                                          yes                                                        28   \n",
-       "Chemo or radiotherapy                     no                                                       2646   \n",
-       "                                          yes                                                        28   \n",
-       "Cancer (lung)                             no                                                       2639   \n",
-       "                                          yes                                                        35   \n",
-       "Cancer (excluding lung/haem)              no                                                       2639   \n",
-       "                                          yes                                                        35   \n",
-       "Cancer (haematological)                   no                                                       2639   \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",
        "\n",
        "                                                                               Vaccinated at 05 Mar (%)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  39.9   \n",
-       "Sex                                       F                                                        39.8   \n",
-       "                                          M                                                        40.0   \n",
-       "Age band                                  0                                                        35.0   \n",
-       "                                          0-15                                                     37.5   \n",
-       "                                          16-29                                                    36.2   \n",
-       "                                          30-34                                                    39.3   \n",
-       "                                          35-39                                                    42.2   \n",
-       "                                          40-44                                                    41.7   \n",
-       "                                          45-49                                                    40.3   \n",
-       "                                          50-54                                                    39.0   \n",
-       "                                          55-59                                                    40.3   \n",
-       "                                          60-64                                                    41.4   \n",
-       "                                          65-69                                                    39.7   \n",
-       "                                          70-74                                                    41.1   \n",
-       "                                          75-79                                                    43.5   \n",
-       "                                          80-84                                                    36.1   \n",
-       "                                          85-89                                                    45.5   \n",
-       "                                          90+                                                      42.9   \n",
-       "Ethnicity (broad categories)              Black                                                    43.1   \n",
-       "                                          Mixed                                                    39.9   \n",
-       "                                          Other                                                    40.4   \n",
-       "                                          South Asian                                              37.8   \n",
-       "                                          Unknown                                                  39.2   \n",
-       "                                          White                                                    39.0   \n",
-       "ethnicity 16 groups                        African                                                 40.4   \n",
-       "                                           Bangladeshi or British Bangladeshi                      37.7   \n",
-       "                                           Caribbean                                               41.2   \n",
-       "                                           Chinese                                                 46.0   \n",
-       "                                           Other                                                   41.7   \n",
-       "                                           Other Asian                                             39.2   \n",
-       "                                          British or Mixed British                                 34.0   \n",
-       "                                          Indian or British Indian                                 36.5   \n",
-       "                                          Irish                                                    40.0   \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                                              39.3   \n",
-       "                                          Other mixed                                              38.8   \n",
-       "                                          Pakistani or British Pakistani                           44.0   \n",
-       "                                          Unknown                                                  39.7   \n",
-       "                                          White + Asian                                            43.8   \n",
-       "                                          White + Black African                                    36.2   \n",
-       "                                          White + Black Caribbean                                  42.3   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          40.8   \n",
-       "                                          2                                                        42.2   \n",
-       "                                          3                                                        41.6   \n",
-       "                                          4                                                        36.6   \n",
-       "                                          5 Least deprived                                         40.2   \n",
-       "                                          Unknown                                                  34.8   \n",
-       "BMI                                       30+                                                      38.4   \n",
-       "                                          under 30                                                 40.5   \n",
-       "Chronic cardiac disease                   no                                                       39.9   \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",
-       "Current COPD                              no                                                       39.9   \n",
-       "                                          yes                                                      36.4   \n",
-       "Dialysis                                  no                                                       40.0   \n",
-       "                                          yes                                                      44.4   \n",
-       "DMARDs                                    no                                                       40.0   \n",
+       "SSRI (last 12 months)                     no                                                       40.6   \n",
        "                                          yes                                                      33.3   \n",
-       "Dementia                                  no                                                       40.0   \n",
-       "                                          yes                                                      30.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       39.9   \n",
+       "Chemo or radiotherapy                     no                                                       40.4   \n",
        "                                          yes                                                      40.0   \n",
-       "Learning disability                       no                                                       40.0   \n",
-       "                                          yes                                                      39.1   \n",
-       "SSRI (last 12 months)                     no                                                       40.0   \n",
-       "                                          yes                                                      44.4   \n",
-       "Chemo or radiotherapy                     no                                                       40.0   \n",
-       "                                          yes                                                      44.4   \n",
-       "Cancer (lung)                             no                                                       39.9   \n",
-       "                                          yes                                                      55.6   \n",
-       "Cancer (excluding lung/haem)              no                                                       39.9   \n",
-       "                                          yes                                                      45.5   \n",
-       "Cancer (haematological)                   no                                                       39.9   \n",
-       "                                          yes                                                      45.5   \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",
        "\n",
-       "                                                                               Total eligible  \\\n",
-       "Category                                  Group                                                 \n",
-       "overall                                   overall                                        6685   \n",
-       "Sex                                       F                                              3444   \n",
-       "                                          M                                              3241   \n",
-       "Age band                                  0                                               420   \n",
-       "                                          0-15                                            392   \n",
-       "                                          16-29                                           406   \n",
-       "                                          30-34                                           427   \n",
-       "                                          35-39                                           448   \n",
-       "                                          40-44                                           420   \n",
-       "                                          45-49                                           434   \n",
-       "                                          50-54                                           413   \n",
-       "                                          55-59                                           434   \n",
-       "                                          60-64                                           406   \n",
-       "                                          65-69                                           406   \n",
-       "                                          70-74                                           392   \n",
-       "                                          75-79                                           434   \n",
-       "                                          80-84                                           427   \n",
-       "                                          85-89                                           385   \n",
-       "                                          90+                                             441   \n",
-       "Ethnicity (broad categories)              Black                                          1120   \n",
-       "                                          Mixed                                          1106   \n",
-       "                                          Other                                          1162   \n",
-       "                                          South Asian                                    1148   \n",
-       "                                          Unknown                                        1001   \n",
-       "                                          White                                          1148   \n",
-       "ethnicity 16 groups                        African                                        364   \n",
-       "                                           Bangladeshi or British Bangladeshi             371   \n",
-       "                                           Caribbean                                      357   \n",
-       "                                           Chinese                                        350   \n",
-       "                                           Other                                          336   \n",
-       "                                           Other Asian                                    357   \n",
-       "                                          British or Mixed British                        329   \n",
-       "                                          Indian or British Indian                        364   \n",
-       "                                          Irish                                           350   \n",
-       "                                          Other Black                                     378   \n",
-       "                                          Other White                                     392   \n",
-       "                                          Other mixed                                     343   \n",
-       "                                          Pakistani or British Pakistani                  350   \n",
-       "                                          Unknown                                        1022   \n",
-       "                                          White + Asian                                   336   \n",
-       "                                          White + Black African                           329   \n",
-       "                                          White + Black Caribbean                         364   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                1253   \n",
-       "                                          2                                              1295   \n",
-       "                                          3                                              1246   \n",
-       "                                          4                                              1281   \n",
-       "                                          5 Least deprived                               1288   \n",
-       "                                          Unknown                                         322   \n",
-       "BMI                                       30+                                            1988   \n",
-       "                                          under 30                                       4697   \n",
-       "Chronic cardiac disease                   no                                             6601   \n",
-       "                                          yes                                              77   \n",
-       "Current COPD                              no                                             6608   \n",
-       "                                          yes                                              77   \n",
-       "Dialysis                                  no                                             6615   \n",
-       "                                          yes                                              63   \n",
-       "DMARDs                                    no                                             6615   \n",
-       "                                          yes                                              63   \n",
-       "Dementia                                  no                                             6608   \n",
-       "                                          yes                                              70   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             6615   \n",
-       "                                          yes                                              70   \n",
-       "Learning disability                       no                                             6517   \n",
-       "                                          yes                                             161   \n",
-       "SSRI (last 12 months)                     no                                             6615   \n",
-       "                                          yes                                              63   \n",
-       "Chemo or radiotherapy                     no                                             6615   \n",
-       "                                          yes                                              63   \n",
-       "Cancer (lung)                             no                                             6622   \n",
-       "                                          yes                                              63   \n",
-       "Cancer (excluding lung/haem)              no                                             6608   \n",
-       "                                          yes                                              77   \n",
-       "Cancer (haematological)                   no                                             6608   \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",
        "\n",
        "                                                                               Previous week's vaccination coverage (%)  \\\n",
        "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  36.4   \n",
-       "Sex                                       F                                                                        36.2   \n",
+       "overall                                   overall                                                                  37.1   \n",
+       "Sex                                       F                                                                        37.4   \n",
        "                                          M                                                                        36.7   \n",
-       "Age band                                  0                                                                        33.3   \n",
-       "                                          0-15                                                                     32.1   \n",
-       "                                          16-29                                                                    32.8   \n",
-       "                                          30-34                                                                    34.4   \n",
-       "                                          35-39                                                                    39.1   \n",
-       "                                          40-44                                                                    36.7   \n",
-       "                                          45-49                                                                    33.9   \n",
-       "                                          50-54                                                                    37.3   \n",
-       "                                          55-59                                                                    37.1   \n",
-       "                                          60-64                                                                    37.9   \n",
-       "                                          65-69                                                                    36.2   \n",
-       "                                          70-74                                                                    35.7   \n",
-       "                                          75-79                                                                    40.3   \n",
-       "                                          80-84                                                                    32.8   \n",
-       "                                          85-89                                                                    40.0   \n",
-       "                                          90+                                                                      39.7   \n",
-       "Ethnicity (broad categories)              Black                                                                    39.4   \n",
-       "                                          Mixed                                                                    36.7   \n",
-       "                                          Other                                                                    37.3   \n",
-       "                                          South Asian                                                              34.1   \n",
-       "                                          Unknown                                                                  35.7   \n",
-       "                                          White                                                                    36.0   \n",
-       "ethnicity 16 groups                        African                                                                 38.5   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      34.0   \n",
-       "                                           Caribbean                                                               35.3   \n",
-       "                                           Chinese                                                                 40.0   \n",
-       "                                           Other                                                                   37.5   \n",
-       "                                           Other Asian                                                             37.3   \n",
-       "                                          British or Mixed British                                                 31.9   \n",
-       "                                          Indian or British Indian                                                 32.7   \n",
-       "                                          Irish                                                                    38.0   \n",
-       "                                          Other Black                                                              35.2   \n",
-       "                                          Other White                                                              35.7   \n",
-       "                                          Other mixed                                                              32.7   \n",
-       "                                          Pakistani or British Pakistani                                           40.0   \n",
-       "                                          Unknown                                                                  36.3   \n",
-       "                                          White + Asian                                                            37.5   \n",
-       "                                          White + Black African                                                    31.9   \n",
-       "                                          White + Black Caribbean                                                  40.4   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          36.3   \n",
-       "                                          2                                                                        38.4   \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                                                                        32.8   \n",
-       "                                          5 Least deprived                                                         37.5   \n",
-       "                                          Unknown                                                                  30.4   \n",
-       "BMI                                       30+                                                                      35.6   \n",
-       "                                          under 30                                                                 36.8   \n",
-       "Chronic cardiac disease                   no                                                                       36.4   \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",
-       "Current COPD                              no                                                                       36.4   \n",
-       "                                          yes                                                                      36.4   \n",
-       "Dialysis                                  no                                                                       36.4   \n",
-       "                                          yes                                                                      33.3   \n",
-       "DMARDs                                    no                                                                       36.5   \n",
+       "SSRI (last 12 months)                     no                                                                       37.1   \n",
        "                                          yes                                                                      33.3   \n",
-       "Dementia                                  no                                                                       36.5   \n",
-       "                                          yes                                                                      30.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       36.4   \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",
-       "Learning disability                       no                                                                       36.4   \n",
-       "                                          yes                                                                      34.8   \n",
-       "SSRI (last 12 months)                     no                                                                       36.5   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Chemo or radiotherapy                     no                                                                       36.4   \n",
-       "                                          yes                                                                      44.4   \n",
-       "Cancer (lung)                             no                                                                       36.4   \n",
-       "                                          yes                                                                      44.4   \n",
-       "Cancer (excluding lung/haem)              no                                                                       36.3   \n",
-       "                                          yes                                                                      45.5   \n",
-       "Cancer (haematological)                   no                                                                       36.3   \n",
-       "                                          yes                                                                      45.5   \n",
        "\n",
        "                                                                               Vaccinated over last 7d (%)  \n",
        "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      3.5  \n",
-       "Sex                                       F                                                            3.6  \n",
-       "                                          M                                                            3.3  \n",
-       "Age band                                  0                                                            1.7  \n",
-       "                                          0-15                                                         5.4  \n",
-       "                                          16-29                                                        3.4  \n",
-       "                                          30-34                                                        4.9  \n",
-       "                                          35-39                                                        3.1  \n",
-       "                                          40-44                                                        5.0  \n",
-       "                                          45-49                                                        6.4  \n",
-       "                                          50-54                                                        1.7  \n",
-       "                                          55-59                                                        3.2  \n",
-       "                                          60-64                                                        3.5  \n",
-       "                                          65-69                                                        3.5  \n",
-       "                                          70-74                                                        5.4  \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                                                        3.3  \n",
-       "                                          85-89                                                        5.5  \n",
-       "                                          90+                                                          3.2  \n",
-       "Ethnicity (broad categories)              Black                                                        3.7  \n",
-       "                                          Mixed                                                        3.2  \n",
-       "                                          Other                                                        3.1  \n",
-       "                                          South Asian                                                  3.7  \n",
-       "                                          Unknown                                                      3.5  \n",
-       "                                          White                                                        3.0  \n",
-       "ethnicity 16 groups                        African                                                     1.9  \n",
-       "                                           Bangladeshi or British Bangladeshi                          3.7  \n",
-       "                                           Caribbean                                                   5.9  \n",
-       "                                           Chinese                                                     6.0  \n",
-       "                                           Other                                                       4.2  \n",
-       "                                           Other Asian                                                 1.9  \n",
-       "                                          British or Mixed British                                     2.1  \n",
-       "                                          Indian or British Indian                                     3.8  \n",
-       "                                          Irish                                                        2.0  \n",
-       "                                          Other Black                                                  1.8  \n",
-       "                                          Other White                                                  3.6  \n",
-       "                                          Other mixed                                                  6.1  \n",
-       "                                          Pakistani or British Pakistani                               4.0  \n",
-       "                                          Unknown                                                      3.4  \n",
-       "                                          White + Asian                                                6.3  \n",
-       "                                          White + Black African                                        4.3  \n",
-       "                                          White + Black Caribbean                                      1.9  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              4.5  \n",
-       "                                          2                                                            3.8  \n",
-       "                                          3                                                            3.4  \n",
-       "                                          4                                                            3.8  \n",
-       "                                          5 Least deprived                                             2.7  \n",
-       "                                          Unknown                                                      4.4  \n",
-       "BMI                                       30+                                                          2.8  \n",
-       "                                          under 30                                                     3.7  \n",
-       "Chronic cardiac disease                   no                                                           3.5  \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                                                           3.6  \n",
-       "                                          yes                                                         11.1  \n",
-       "DMARDs                                    no                                                           3.5  \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                                                           3.5  \n",
-       "                                          yes                                                          0.0  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           3.4  \n",
+       "                                          yes                                                         20.0  \n",
        "Learning disability                       no                                                           3.6  \n",
-       "                                          yes                                                          4.3  \n",
+       "                                          yes                                                          0.0  \n",
        "SSRI (last 12 months)                     no                                                           3.5  \n",
-       "                                          yes                                                         11.1  \n",
-       "Chemo or radiotherapy                     no                                                           3.6  \n",
        "                                          yes                                                          0.0  \n",
-       "Cancer (lung)                             no                                                           3.5  \n",
-       "                                          yes                                                         11.2  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.6  \n",
+       "Chemo or radiotherapy                     no                                                           3.4  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (lung)                             no                                                           3.4  \n",
        "                                          yes                                                          0.0  \n",
-       "Cancer (haematological)                   no                                                           3.6  \n",
-       "                                          yes                                                          0.0  "
+       "Cancer (excluding lung/haem)              no                                                           3.2  \n",
+       "                                          yes                                                         20.0  \n",
+       "Cancer (haematological)                   no                                                           3.4  \n",
+       "                                          yes                                                         20.0  "
       ]
      },
      "metadata": {},
@@ -20453,7 +25713,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among 70-79 population \n",
+       " ## Cumulative vaccination figures among care home population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -20505,438 +25765,515 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>2893</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7315</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>530</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>1414</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>1498</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>3808</td>\n",
-       "      <td>36.0</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>273</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>721</td>\n",
+       "      <td>34.0</td>\n",
+       "      <td>3.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>1393</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>3514</td>\n",
-       "      <td>36.5</td>\n",
+       "      <td>259</td>\n",
+       "      <td>37.4</td>\n",
+       "      <td>693</td>\n",
+       "      <td>34.3</td>\n",
        "      <td>3.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
        "      <th>0</th>\n",
-       "      <td>182</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>441</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>4.8</td>\n",
+       "      <td>35</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>0-15</th>\n",
-       "      <td>175</td>\n",
+       "      <td>35</td>\n",
        "      <td>38.5</td>\n",
-       "      <td>455</td>\n",
-       "      <td>33.8</td>\n",
-       "      <td>4.7</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.5</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>196</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>469</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>4.5</td>\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>30-34</th>\n",
-       "      <td>217</td>\n",
-       "      <td>45.6</td>\n",
-       "      <td>476</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>4.4</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>35-39</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.7</td>\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",
-       "      <td>203</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>476</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>2.9</td>\n",
+       "      <td>21</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>45-49</th>\n",
-       "      <td>161</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>441</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50-54</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>55-59</th>\n",
-       "      <td>182</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>448</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-64</th>\n",
-       "      <td>175</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>462</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65-69</th>\n",
-       "      <td>175</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>455</td>\n",
-       "      <td>35.4</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>70-74</th>\n",
-       "      <td>168</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>448</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75-79</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>80-84</th>\n",
-       "      <td>161</td>\n",
-       "      <td>35.4</td>\n",
-       "      <td>455</td>\n",
-       "      <td>33.8</td>\n",
-       "      <td>1.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>85-89</th>\n",
-       "      <td>168</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>462</td>\n",
-       "      <td>31.8</td>\n",
-       "      <td>4.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>90+</th>\n",
-       "      <td>161</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>434</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>1.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>504</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>1218</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>3.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>497</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>1239</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>2.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>469</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>1225</td>\n",
-       "      <td>34.9</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>497</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>1239</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>434</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>1120</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>490</td>\n",
+       "      <td>35</td>\n",
        "      <td>38.5</td>\n",
-       "      <td>1274</td>\n",
-       "      <td>35.2</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
-       "      <th>African</th>\n",
-       "      <td>154</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>420</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>133</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>385</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>1.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>154</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>378</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>3.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>154</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>385</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>5.5</td>\n",
+       "      <td>91</td>\n",
+       "      <td>30.8</td>\n",
+       "      <td>7.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>147</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>392</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>3.6</td>\n",
+       "      <th>50-54</th>\n",
+       "      <td>28</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other Asian</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",
+       "      <th>55-59</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>British or Mixed British</th>\n",
-       "      <td>133</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>371</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th>60-64</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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Indian or British Indian</th>\n",
-       "      <td>161</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>378</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>1.9</td>\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>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Irish</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",
+       "      <th>70-74</th>\n",
+       "      <td>35</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>84</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other Black</th>\n",
-       "      <td>175</td>\n",
-       "      <td>46.3</td>\n",
-       "      <td>378</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th>75-79</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>154</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>406</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>3.4</td>\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>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other mixed</th>\n",
-       "      <td>154</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>413</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>3.4</td>\n",
+       "      <th>85-89</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>Pakistani or British Pakistani</th>\n",
-       "      <td>140</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>371</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>3.7</td>\n",
+       "      <th>90+</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>Unknown</th>\n",
-       "      <td>469</td>\n",
-       "      <td>42.7</td>\n",
-       "      <td>1099</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>3.2</td>\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>White + Asian</th>\n",
-       "      <td>154</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>406</td>\n",
-       "      <td>34.5</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>White + Black African</th>\n",
-       "      <td>154</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>364</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.8</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Black Caribbean</th>\n",
-       "      <td>140</td>\n",
+       "      <th>South Asian</th>\n",
+       "      <td>84</td>\n",
        "      <td>36.4</td>\n",
-       "      <td>385</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>1.9</td>\n",
+       "      <td>231</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.1</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>560</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1393</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th>Unknown</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>2</th>\n",
-       "      <td>532</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>1421</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>3.4</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>574</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1421</td>\n",
-       "      <td>37.4</td>\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>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>511</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>1351</td>\n",
-       "      <td>34.2</td>\n",
-       "      <td>3.6</td>\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",
+       "    </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",
+       "\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",
+       "\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",
+       "\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",
+       "\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  "
+      ]
+     },
+     "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 includes 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": [
+       "## \n",
+       " ## Cumulative vaccination figures among shielding (aged 16-69) 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 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>5 Least deprived</th>\n",
-       "      <td>567</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>1365</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2.5</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>Unknown</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",
+       "      <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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
-       "      <th>30+</th>\n",
-       "      <td>868</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2226</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>2.5</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>under 30</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>5096</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.6</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\">Chronic cardiac disease</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>7238</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
+       "      <th>M</th>\n",
        "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>37.9</td>\n",
+       "      <td>203</td>\n",
+       "      <td>37.9</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>2870</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7259</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.2</td>\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",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>30-39</th>\n",
        "      <td>21</td>\n",
        "      <td>37.5</td>\n",
        "      <td>56</td>\n",
@@ -20944,577 +26281,309 @@
        "      <td>12.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dialysis</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2856</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>35</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>50.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
+       "      <th>60-69</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",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
+       "      <th>80+</th>\n",
+       "      <td>14</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>56</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\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>40.0</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>2870</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7259</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>30.0</td>\n",
+       "      <td>10.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>Mixed</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=\"2\" valign=\"top\">Learning disability</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2835</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7175</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
+       "      <td>44.4</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
+       "      <th>Other</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 rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>Unknown</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>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
-       "      <th>no</th>\n",
-       "      <td>2870</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.4</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
+       "      <th>1 Most deprived</th>\n",
+       "      <td>21</td>\n",
+       "      <td>30.0</td>\n",
        "      <td>70</td>\n",
        "      <td>30.0</td>\n",
-       "      <td>10.0</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>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7252</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>3</th>\n",
        "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</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>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>5 Least deprived</th>\n",
        "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40.0</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\">Cancer (haematological)</th>\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\">Learning disability</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.1</td>\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>yes</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</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                                                  2893   \n",
-       "Sex                                       F                                                        1498   \n",
-       "                                          M                                                        1393   \n",
-       "Age band                                  0                                                         182   \n",
-       "                                          0-15                                                      175   \n",
-       "                                          16-29                                                     196   \n",
-       "                                          30-34                                                     217   \n",
-       "                                          35-39                                                     189   \n",
-       "                                          40-44                                                     203   \n",
-       "                                          45-49                                                     161   \n",
-       "                                          50-54                                                     196   \n",
-       "                                          55-59                                                     182   \n",
-       "                                          60-64                                                     175   \n",
-       "                                          65-69                                                     175   \n",
-       "                                          70-74                                                     168   \n",
-       "                                          75-79                                                     189   \n",
-       "                                          80-84                                                     161   \n",
-       "                                          85-89                                                     168   \n",
-       "                                          90+                                                       161   \n",
-       "Ethnicity (broad categories)              Black                                                     504   \n",
-       "                                          Mixed                                                     497   \n",
-       "                                          Other                                                     469   \n",
-       "                                          South Asian                                               497   \n",
-       "                                          Unknown                                                   434   \n",
-       "                                          White                                                     490   \n",
-       "ethnicity 16 groups                        African                                                  154   \n",
-       "                                           Bangladeshi or British Bangladeshi                       133   \n",
-       "                                           Caribbean                                                154   \n",
-       "                                           Chinese                                                  154   \n",
-       "                                           Other                                                    147   \n",
-       "                                           Other Asian                                              175   \n",
-       "                                          British or Mixed British                                  133   \n",
-       "                                          Indian or British Indian                                  161   \n",
-       "                                          Irish                                                     140   \n",
-       "                                          Other Black                                               175   \n",
-       "                                          Other White                                               154   \n",
-       "                                          Other mixed                                               154   \n",
-       "                                          Pakistani or British Pakistani                            140   \n",
-       "                                          Unknown                                                   469   \n",
-       "                                          White + Asian                                             154   \n",
-       "                                          White + Black African                                     154   \n",
-       "                                          White + Black Caribbean                                   140   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           560   \n",
-       "                                          2                                                         532   \n",
-       "                                          3                                                         574   \n",
-       "                                          4                                                         511   \n",
-       "                                          5 Least deprived                                          567   \n",
-       "                                          Unknown                                                   147   \n",
-       "BMI                                       30+                                                       868   \n",
-       "                                          under 30                                                 2023   \n",
-       "Chronic cardiac disease                   no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Current COPD                              no                                                       2870   \n",
-       "                                          yes                                                        21   \n",
-       "Dialysis                                  no                                                       2856   \n",
-       "                                          yes                                                        35   \n",
-       "DMARDs                                    no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Dementia                                  no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       2870   \n",
-       "                                          yes                                                        28   \n",
-       "Learning disability                       no                                                       2835   \n",
-       "                                          yes                                                        56   \n",
-       "SSRI (last 12 months)                     no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Chemo or radiotherapy                     no                                                       2870   \n",
-       "                                          yes                                                        28   \n",
-       "Cancer (lung)                             no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Cancer (excluding lung/haem)              no                                                       2863   \n",
-       "                                          yes                                                        28   \n",
-       "Cancer (haematological)                   no                                                       2863   \n",
-       "                                          yes                                                        35   \n",
+       "                                                            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",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  39.5   \n",
-       "Sex                                       F                                                        39.3   \n",
-       "                                          M                                                        39.6   \n",
-       "Age band                                  0                                                        41.3   \n",
-       "                                          0-15                                                     38.5   \n",
-       "                                          16-29                                                    41.8   \n",
-       "                                          30-34                                                    45.6   \n",
-       "                                          35-39                                                    42.2   \n",
-       "                                          40-44                                                    42.6   \n",
-       "                                          45-49                                                    36.5   \n",
-       "                                          50-54                                                    39.4   \n",
-       "                                          55-59                                                    40.6   \n",
-       "                                          60-64                                                    37.9   \n",
-       "                                          65-69                                                    38.5   \n",
-       "                                          70-74                                                    37.5   \n",
-       "                                          75-79                                                    42.2   \n",
-       "                                          80-84                                                    35.4   \n",
-       "                                          85-89                                                    36.4   \n",
-       "                                          90+                                                      37.1   \n",
-       "Ethnicity (broad categories)              Black                                                    41.4   \n",
-       "                                          Mixed                                                    40.1   \n",
-       "                                          Other                                                    38.3   \n",
-       "                                          South Asian                                              40.1   \n",
-       "                                          Unknown                                                  38.8   \n",
-       "                                          White                                                    38.5   \n",
-       "ethnicity 16 groups                        African                                                 36.7   \n",
-       "                                           Bangladeshi or British Bangladeshi                      34.5   \n",
-       "                                           Caribbean                                               40.7   \n",
-       "                                           Chinese                                                 40.0   \n",
-       "                                           Other                                                   37.5   \n",
-       "                                           Other Asian                                             44.6   \n",
-       "                                          British or Mixed British                                 35.8   \n",
-       "                                          Indian or British Indian                                 42.6   \n",
-       "                                          Irish                                                    36.4   \n",
-       "                                          Other Black                                              46.3   \n",
-       "                                          Other White                                              37.9   \n",
-       "                                          Other mixed                                              37.3   \n",
-       "                                          Pakistani or British Pakistani                           37.7   \n",
-       "                                          Unknown                                                  42.7   \n",
-       "                                          White + Asian                                            37.9   \n",
-       "                                          White + Black African                                    42.3   \n",
-       "                                          White + Black Caribbean                                  36.4   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          40.2   \n",
-       "                                          2                                                        37.4   \n",
-       "                                          3                                                        40.4   \n",
-       "                                          4                                                        37.8   \n",
-       "                                          5 Least deprived                                         41.5   \n",
-       "                                          Unknown                                                  39.6   \n",
-       "BMI                                       30+                                                      39.0   \n",
-       "                                          under 30                                                 39.7   \n",
-       "Chronic cardiac disease                   no                                                       39.6   \n",
-       "                                          yes                                                      36.4   \n",
-       "Current COPD                              no                                                       39.5   \n",
-       "                                          yes                                                      37.5   \n",
-       "Dialysis                                  no                                                       39.4   \n",
-       "                                          yes                                                      50.0   \n",
-       "DMARDs                                    no                                                       39.5   \n",
-       "                                          yes                                                      36.4   \n",
-       "Dementia                                  no                                                       39.5   \n",
-       "                                          yes                                                      40.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       39.5   \n",
-       "                                          yes                                                      44.4   \n",
-       "Learning disability                       no                                                       39.5   \n",
-       "                                          yes                                                      40.0   \n",
-       "SSRI (last 12 months)                     no                                                       39.5   \n",
-       "                                          yes                                                      36.4   \n",
-       "Chemo or radiotherapy                     no                                                       39.6   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (lung)                             no                                                       39.5   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (excluding lung/haem)              no                                                       39.5   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (haematological)                   no                                                       39.5   \n",
-       "                                          yes                                                      45.5   \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",
        "\n",
-       "                                                                               Total eligible  \\\n",
-       "Category                                  Group                                                 \n",
-       "overall                                   overall                                        7315   \n",
-       "Sex                                       F                                              3808   \n",
-       "                                          M                                              3514   \n",
-       "Age band                                  0                                               441   \n",
-       "                                          0-15                                            455   \n",
-       "                                          16-29                                           469   \n",
-       "                                          30-34                                           476   \n",
-       "                                          35-39                                           448   \n",
-       "                                          40-44                                           476   \n",
-       "                                          45-49                                           441   \n",
-       "                                          50-54                                           497   \n",
-       "                                          55-59                                           448   \n",
-       "                                          60-64                                           462   \n",
-       "                                          65-69                                           455   \n",
-       "                                          70-74                                           448   \n",
-       "                                          75-79                                           448   \n",
-       "                                          80-84                                           455   \n",
-       "                                          85-89                                           462   \n",
-       "                                          90+                                             434   \n",
-       "Ethnicity (broad categories)              Black                                          1218   \n",
-       "                                          Mixed                                          1239   \n",
-       "                                          Other                                          1225   \n",
-       "                                          South Asian                                    1239   \n",
-       "                                          Unknown                                        1120   \n",
-       "                                          White                                          1274   \n",
-       "ethnicity 16 groups                        African                                        420   \n",
-       "                                           Bangladeshi or British Bangladeshi             385   \n",
-       "                                           Caribbean                                      378   \n",
-       "                                           Chinese                                        385   \n",
-       "                                           Other                                          392   \n",
-       "                                           Other Asian                                    392   \n",
-       "                                          British or Mixed British                        371   \n",
-       "                                          Indian or British Indian                        378   \n",
-       "                                          Irish                                           385   \n",
-       "                                          Other Black                                     378   \n",
-       "                                          Other White                                     406   \n",
-       "                                          Other mixed                                     413   \n",
-       "                                          Pakistani or British Pakistani                  371   \n",
-       "                                          Unknown                                        1099   \n",
-       "                                          White + Asian                                   406   \n",
-       "                                          White + Black African                           364   \n",
-       "                                          White + Black Caribbean                         385   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                1393   \n",
-       "                                          2                                              1421   \n",
-       "                                          3                                              1421   \n",
-       "                                          4                                              1351   \n",
-       "                                          5 Least deprived                               1365   \n",
-       "                                          Unknown                                         371   \n",
-       "BMI                                       30+                                            2226   \n",
-       "                                          under 30                                       5096   \n",
-       "Chronic cardiac disease                   no                                             7238   \n",
-       "                                          yes                                              77   \n",
-       "Current COPD                              no                                             7259   \n",
-       "                                          yes                                              56   \n",
-       "Dialysis                                  no                                             7245   \n",
-       "                                          yes                                              70   \n",
-       "DMARDs                                    no                                             7245   \n",
-       "                                          yes                                              77   \n",
-       "Dementia                                  no                                             7245   \n",
-       "                                          yes                                              70   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             7259   \n",
-       "                                          yes                                              63   \n",
-       "Learning disability                       no                                             7175   \n",
-       "                                          yes                                             140   \n",
-       "SSRI (last 12 months)                     no                                             7245   \n",
-       "                                          yes                                              77   \n",
-       "Chemo or radiotherapy                     no                                             7245   \n",
-       "                                          yes                                              70   \n",
-       "Cancer (lung)                             no                                             7252   \n",
-       "                                          yes                                              70   \n",
-       "Cancer (excluding lung/haem)              no                                             7245   \n",
-       "                                          yes                                              70   \n",
-       "Cancer (haematological)                   no                                             7245   \n",
-       "                                          yes                                              77   \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",
        "\n",
-       "                                                                               Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  36.2   \n",
-       "Sex                                       F                                                                        36.0   \n",
-       "                                          M                                                                        36.5   \n",
-       "Age band                                  0                                                                        36.5   \n",
-       "                                          0-15                                                                     33.8   \n",
-       "                                          16-29                                                                    37.3   \n",
-       "                                          30-34                                                                    41.2   \n",
-       "                                          35-39                                                                    37.5   \n",
-       "                                          40-44                                                                    39.7   \n",
-       "                                          45-49                                                                    33.3   \n",
-       "                                          50-54                                                                    36.6   \n",
-       "                                          55-59                                                                    37.5   \n",
-       "                                          60-64                                                                    34.8   \n",
-       "                                          65-69                                                                    35.4   \n",
-       "                                          70-74                                                                    34.4   \n",
-       "                                          75-79                                                                    39.1   \n",
-       "                                          80-84                                                                    33.8   \n",
-       "                                          85-89                                                                    31.8   \n",
-       "                                          90+                                                                      35.5   \n",
-       "Ethnicity (broad categories)              Black                                                                    37.9   \n",
-       "                                          Mixed                                                                    37.3   \n",
-       "                                          Other                                                                    34.9   \n",
-       "                                          South Asian                                                              36.7   \n",
-       "                                          Unknown                                                                  35.6   \n",
-       "                                          White                                                                    35.2   \n",
-       "ethnicity 16 groups                        African                                                                 33.3   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      32.7   \n",
-       "                                           Caribbean                                                               37.0   \n",
-       "                                           Chinese                                                                 34.5   \n",
-       "                                           Other                                                                   33.9   \n",
-       "                                           Other Asian                                                             41.1   \n",
-       "                                          British or Mixed British                                                 32.1   \n",
-       "                                          Indian or British Indian                                                 40.7   \n",
-       "                                          Irish                                                                    34.5   \n",
-       "                                          Other Black                                                              42.6   \n",
-       "                                          Other White                                                              34.5   \n",
-       "                                          Other mixed                                                              33.9   \n",
-       "                                          Pakistani or British Pakistani                                           34.0   \n",
-       "                                          Unknown                                                                  39.5   \n",
-       "                                          White + Asian                                                            34.5   \n",
-       "                                          White + Black African                                                    38.5   \n",
-       "                                          White + Black Caribbean                                                  34.5   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          36.7   \n",
-       "                                          2                                                                        34.0   \n",
-       "                                          3                                                                        37.4   \n",
-       "                                          4                                                                        34.2   \n",
-       "                                          5 Least deprived                                                         39.0   \n",
-       "                                          Unknown                                                                  35.8   \n",
-       "BMI                                       30+                                                                      36.5   \n",
-       "                                          under 30                                                                 36.1   \n",
-       "Chronic cardiac disease                   no                                                                       36.3   \n",
-       "                                          yes                                                                      36.4   \n",
-       "Current COPD                              no                                                                       36.3   \n",
-       "                                          yes                                                                      25.0   \n",
-       "Dialysis                                  no                                                                       36.1   \n",
-       "                                          yes                                                                      50.0   \n",
-       "DMARDs                                    no                                                                       36.2   \n",
-       "                                          yes                                                                      36.4   \n",
-       "Dementia                                  no                                                                       36.2   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       36.2   \n",
-       "                                          yes                                                                      33.3   \n",
-       "Learning disability                       no                                                                       36.2   \n",
-       "                                          yes                                                                      40.0   \n",
-       "SSRI (last 12 months)                     no                                                                       36.2   \n",
-       "                                          yes                                                                      36.4   \n",
-       "Chemo or radiotherapy                     no                                                                       36.2   \n",
-       "                                          yes                                                                      30.0   \n",
-       "Cancer (lung)                             no                                                                       36.2   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Cancer (excluding lung/haem)              no                                                                       36.2   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Cancer (haematological)                   no                                                                       36.1   \n",
-       "                                          yes                                                                      36.4   \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",
        "\n",
-       "                                                                               Vaccinated over last 7d (%)  \n",
-       "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      3.3  \n",
-       "Sex                                       F                                                            3.3  \n",
-       "                                          M                                                            3.1  \n",
-       "Age band                                  0                                                            4.8  \n",
-       "                                          0-15                                                         4.7  \n",
-       "                                          16-29                                                        4.5  \n",
-       "                                          30-34                                                        4.4  \n",
-       "                                          35-39                                                        4.7  \n",
-       "                                          40-44                                                        2.9  \n",
-       "                                          45-49                                                        3.2  \n",
-       "                                          50-54                                                        2.8  \n",
-       "                                          55-59                                                        3.1  \n",
-       "                                          60-64                                                        3.1  \n",
-       "                                          65-69                                                        3.1  \n",
-       "                                          70-74                                                        3.1  \n",
-       "                                          75-79                                                        3.1  \n",
-       "                                          80-84                                                        1.6  \n",
-       "                                          85-89                                                        4.6  \n",
-       "                                          90+                                                          1.6  \n",
-       "Ethnicity (broad categories)              Black                                                        3.5  \n",
-       "                                          Mixed                                                        2.8  \n",
-       "                                          Other                                                        3.4  \n",
-       "                                          South Asian                                                  3.4  \n",
-       "                                          Unknown                                                      3.2  \n",
-       "                                          White                                                        3.3  \n",
-       "ethnicity 16 groups                        African                                                     3.4  \n",
-       "                                           Bangladeshi or British Bangladeshi                          1.8  \n",
-       "                                           Caribbean                                                   3.7  \n",
-       "                                           Chinese                                                     5.5  \n",
-       "                                           Other                                                       3.6  \n",
-       "                                           Other Asian                                                 3.5  \n",
-       "                                          British or Mixed British                                     3.7  \n",
-       "                                          Indian or British Indian                                     1.9  \n",
-       "                                          Irish                                                        1.9  \n",
-       "                                          Other Black                                                  3.7  \n",
-       "                                          Other White                                                  3.4  \n",
-       "                                          Other mixed                                                  3.4  \n",
-       "                                          Pakistani or British Pakistani                               3.7  \n",
-       "                                          Unknown                                                      3.2  \n",
-       "                                          White + Asian                                                3.4  \n",
-       "                                          White + Black African                                        3.8  \n",
-       "                                          White + Black Caribbean                                      1.9  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              3.5  \n",
-       "                                          2                                                            3.4  \n",
-       "                                          3                                                            3.0  \n",
-       "                                          4                                                            3.6  \n",
-       "                                          5 Least deprived                                             2.5  \n",
-       "                                          Unknown                                                      3.8  \n",
-       "BMI                                       30+                                                          2.5  \n",
-       "                                          under 30                                                     3.6  \n",
-       "Chronic cardiac disease                   no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Current COPD                              no                                                           3.2  \n",
-       "                                          yes                                                         12.5  \n",
-       "Dialysis                                  no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Dementia                                  no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                           3.3  \n",
-       "                                          yes                                                         11.1  \n",
-       "Learning disability                       no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "SSRI (last 12 months)                     no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           3.4  \n",
-       "                                          yes                                                         10.0  \n",
-       "Cancer (lung)                             no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.3  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (haematological)                   no                                                           3.4  \n",
-       "                                          yes                                                          9.1  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "**Footnotes:**\n",
-       "- Patient counts rounded to the nearest 7"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
+       "                                                            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  "
       ]
      },
      "metadata": {},
@@ -21523,7 +26592,8 @@
     {
      "data": {
       "text/markdown": [
-       "- Population excludes those known to live in an elderly care home, based upon clinical coding."
+       "**Footnotes:**\n",
+       "- Patient counts rounded to the nearest 7"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -21535,7 +26605,7 @@
     {
      "data": {
       "text/markdown": [
-       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
+       "- Population excludes those over 65 known to live in an elderly care home, based upon clinical coding."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -21548,7 +26618,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among care home population \n",
+       " ## Cumulative vaccination figures among 65-69 population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -21600,653 +26670,428 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>488</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>1155</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.8</td>\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>266</td>\n",
-       "      <td>45.2</td>\n",
-       "      <td>588</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>3.5</td>\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>224</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>560</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.8</td>\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=\"16\" valign=\"top\">Age band</th>\n",
-       "      <th>0</th>\n",
-       "      <td>35</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>10.0</td>\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>0-15</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>0.0</td>\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>16-29</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>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>30-34</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>27.3</td>\n",
-       "      <td>9.1</td>\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>35-39</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\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>40-44</th>\n",
-       "      <td>35</td>\n",
+       "      <th>White</th>\n",
+       "      <td>140</td>\n",
        "      <td>41.7</td>\n",
-       "      <td>84</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>8.4</td>\n",
+       "      <td>336</td>\n",
+       "      <td>37.5</td>\n",
+       "      <td>4.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45-49</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\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>50-54</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>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>55-59</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\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>60-64</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\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>65-69</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\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>70-74</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\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>75-79</th>\n",
-       "      <td>14</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>20.0</td>\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>80-84</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>0.0</td>\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>85-89</th>\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>55.6</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>11.2</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>90+</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
+       "      <th>Other White</th>\n",
        "      <td>56</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>12.5</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=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>84</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>196</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>3.6</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>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>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>Other</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>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>South Asian</th>\n",
-       "      <td>77</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>196</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>7.2</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>84</td>\n",
-       "      <td>46.2</td>\n",
-       "      <td>182</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>7.7</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
-       "      <td>70</td>\n",
+       "      <th>White + Black Caribbean</th>\n",
+       "      <td>42</td>\n",
        "      <td>40.0</td>\n",
-       "      <td>175</td>\n",
+       "      <td>105</td>\n",
        "      <td>40.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>483</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>1141</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>3.6</td>\n",
+       "      <th rowspan=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</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",
        "    </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>0.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                          Vaccinated at 05 Mar (n)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                           488   \n",
-       "Sex                          F                                 266   \n",
-       "                             M                                 224   \n",
-       "Age band                     0                                  35   \n",
-       "                             0-15                               28   \n",
-       "                             16-29                              28   \n",
-       "                             30-34                              28   \n",
-       "                             35-39                              35   \n",
-       "                             40-44                              35   \n",
-       "                             45-49                              35   \n",
-       "                             50-54                              35   \n",
-       "                             55-59                              28   \n",
-       "                             60-64                              35   \n",
-       "                             65-69                              35   \n",
-       "                             70-74                              35   \n",
-       "                             75-79                              14   \n",
-       "                             80-84                              35   \n",
-       "                             85-89                              35   \n",
-       "                             90+                                28   \n",
-       "Ethnicity (broad categories) Black                              84   \n",
-       "                             Mixed                              84   \n",
-       "                             Other                              84   \n",
-       "                             South Asian                        77   \n",
-       "                             Unknown                            84   \n",
-       "                             White                              70   \n",
-       "Dementia                     no                                483   \n",
-       "                             yes                                 0   \n",
-       "\n",
-       "                                          Vaccinated at 05 Mar (%)  \\\n",
-       "Category                     Group                                   \n",
-       "overall                      overall                          42.3   \n",
-       "Sex                          F                                45.2   \n",
-       "                             M                                40.0   \n",
-       "Age band                     0                                50.0   \n",
-       "                             0-15                             40.0   \n",
-       "                             16-29                            50.0   \n",
-       "                             30-34                            36.4   \n",
-       "                             35-39                            45.5   \n",
-       "                             40-44                            41.7   \n",
-       "                             45-49                            45.5   \n",
-       "                             50-54                            41.7   \n",
-       "                             55-59                            44.4   \n",
-       "                             60-64                            45.5   \n",
-       "                             65-69                            45.5   \n",
-       "                             70-74                            45.5   \n",
-       "                             75-79                            20.0   \n",
-       "                             80-84                            45.5   \n",
-       "                             85-89                            55.6   \n",
-       "                             90+                              50.0   \n",
-       "Ethnicity (broad categories) Black                            42.9   \n",
-       "                             Mixed                            41.4   \n",
-       "                             Other                            41.4   \n",
-       "                             South Asian                      39.3   \n",
-       "                             Unknown                          46.2   \n",
-       "                             White                            40.0   \n",
-       "Dementia                     no                               42.3   \n",
-       "                             yes                               0.0   \n",
-       "\n",
-       "                                          Total eligible  \\\n",
-       "Category                     Group                         \n",
-       "overall                      overall                1155   \n",
-       "Sex                          F                       588   \n",
-       "                             M                       560   \n",
-       "Age band                     0                        70   \n",
-       "                             0-15                     70   \n",
-       "                             16-29                    56   \n",
-       "                             30-34                    77   \n",
-       "                             35-39                    77   \n",
-       "                             40-44                    84   \n",
-       "                             45-49                    77   \n",
-       "                             50-54                    84   \n",
-       "                             55-59                    63   \n",
-       "                             60-64                    77   \n",
-       "                             65-69                    77   \n",
-       "                             70-74                    77   \n",
-       "                             75-79                    70   \n",
-       "                             80-84                    77   \n",
-       "                             85-89                    63   \n",
-       "                             90+                      56   \n",
-       "Ethnicity (broad categories) Black                   196   \n",
-       "                             Mixed                   203   \n",
-       "                             Other                   203   \n",
-       "                             South Asian             196   \n",
-       "                             Unknown                 182   \n",
-       "                             White                   175   \n",
-       "Dementia                     no                     1141   \n",
-       "                             yes                       7   \n",
-       "\n",
-       "                                          Previous week's vaccination coverage (%)  \\\n",
-       "Category                     Group                                                   \n",
-       "overall                      overall                                          38.5   \n",
-       "Sex                          F                                                41.7   \n",
-       "                             M                                                36.2   \n",
-       "Age band                     0                                                40.0   \n",
-       "                             0-15                                             40.0   \n",
-       "                             16-29                                            50.0   \n",
-       "                             30-34                                            27.3   \n",
-       "                             35-39                                            36.4   \n",
-       "                             40-44                                            33.3   \n",
-       "                             45-49                                            36.4   \n",
-       "                             50-54                                            33.3   \n",
-       "                             55-59                                            44.4   \n",
-       "                             60-64                                            45.5   \n",
-       "                             65-69                                            36.4   \n",
-       "                             70-74                                            36.4   \n",
-       "                             75-79                                            20.0   \n",
-       "                             80-84                                            45.5   \n",
-       "                             85-89                                            44.4   \n",
-       "                             90+                                              37.5   \n",
-       "Ethnicity (broad categories) Black                                            39.3   \n",
-       "                             Mixed                                            37.9   \n",
-       "                             Other                                            37.9   \n",
-       "                             South Asian                                      32.1   \n",
-       "                             Unknown                                          38.5   \n",
-       "                             White                                            40.0   \n",
-       "Dementia                     no                                               38.7   \n",
-       "                             yes                                               0.0   \n",
-       "\n",
-       "                                          Vaccinated over last 7d (%)  \n",
-       "Category                     Group                                     \n",
-       "overall                      overall                              3.8  \n",
-       "Sex                          F                                    3.5  \n",
-       "                             M                                    3.8  \n",
-       "Age band                     0                                   10.0  \n",
-       "                             0-15                                 0.0  \n",
-       "                             16-29                                0.0  \n",
-       "                             30-34                                9.1  \n",
-       "                             35-39                                9.1  \n",
-       "                             40-44                                8.4  \n",
-       "                             45-49                                9.1  \n",
-       "                             50-54                                8.4  \n",
-       "                             55-59                                0.0  \n",
-       "                             60-64                                0.0  \n",
-       "                             65-69                                9.1  \n",
-       "                             70-74                                9.1  \n",
-       "                             75-79                                0.0  \n",
-       "                             80-84                                0.0  \n",
-       "                             85-89                               11.2  \n",
-       "                             90+                                 12.5  \n",
-       "Ethnicity (broad categories) Black                                3.6  \n",
-       "                             Mixed                                3.5  \n",
-       "                             Other                                3.5  \n",
-       "                             South Asian                          7.2  \n",
-       "                             Unknown                              7.7  \n",
-       "                             White                                0.0  \n",
-       "Dementia                     no                                   3.6  \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 includes 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": [
-       "## \n",
-       " ## Cumulative vaccination figures among shielding (aged 16-69) 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": [
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-       "<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",
+       "      <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",
        "    </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>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",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th>overall</th>\n",
-       "      <th>overall</th>\n",
-       "      <td>163</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>427</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>2.4</td>\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 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>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",
        "    </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>Unknown</th>\n",
+       "      <td>28</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>84</td>\n",
+       "      <td>33.3</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>37.5</td>\n",
-       "      <td>224</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>3.1</td>\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>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>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=\"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",
-       "      <td>0.0</td>\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>30-39</th>\n",
-       "      <td>21</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>56</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>25.0</td>\n",
-       "      <td>12.5</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=\"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>50-59</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-69</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>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\">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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80+</th>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>14</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>25.0</td>\n",
+       "      <td>50.0</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",
-       "    </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>0.0</td>\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>Other</th>\n",
-       "      <td>21</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>7</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>63</td>\n",
+       "      <td>21</td>\n",
        "      <td>33.3</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\">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",
        "    </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>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>White</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",
+       "      <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",
        "    </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>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>0.0</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>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\">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",
        "    </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>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>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\">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",
        "    </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",
+       "      <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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Unknown</th>\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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yes</th>\n",
        "      <td>7</td>\n",
        "      <td>33.3</td>\n",
        "      <td>21</td>\n",
@@ -22254,171 +27099,338 @@
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Learning disability</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</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",
+       "      <td>854</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>3.0</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>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                                163   \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",
-       "\n",
-       "                                                            Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                        \n",
-       "overall                                   overall                               38.2   \n",
-       "newly shielded since feb 15               no                                    38.3   \n",
-       "                                          yes                                    NaN   \n",
-       "Sex                                       F                                     37.5   \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                                 38.5   \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                                    38.3   \n",
-       "                                          yes                                    0.0   \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",
+       "    </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",
+       "    </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",
        "\n",
-       "                                                            Total eligible  \\\n",
-       "Category                                  Group                              \n",
-       "overall                                   overall                      427   \n",
-       "newly shielded since feb 15               no                           420   \n",
-       "                                          yes                            0   \n",
-       "Sex                                       F                            224   \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                         91   \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                           420   \n",
-       "                                          yes                            7   \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",
        "\n",
-       "                                                            Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                        \n",
-       "overall                                   overall                                               35.8   \n",
-       "newly shielded since feb 15               no                                                    35.0   \n",
-       "                                          yes                                                    NaN   \n",
-       "Sex                                       F                                                     34.4   \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                                                 38.5   \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                                                    35.0   \n",
-       "                                          yes                                                    0.0   \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",
        "\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                                         3.1  \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                                        3.3  \n",
-       "                                          yes                                       0.0  "
+       "                                                                               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",
+       "\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": {},
@@ -22440,7 +27452,7 @@
     {
      "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>"
@@ -22452,9 +27464,7 @@
     {
      "data": {
       "text/markdown": [
-       "## \n",
-       " ## Cumulative vaccination figures among 65-69 population \n",
-       " Please refer to footnotes below table for information."
+       "- Population excludes those who are currently shielding."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -22465,383 +27475,170 @@
     },
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
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-       "    }\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 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>1262</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3059</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>665</td>\n",
-       "      <td>42.0</td>\n",
-       "      <td>1582</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>595</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>1477</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
-       "      <th>Black</th>\n",
-       "      <td>224</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>546</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>2.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Mixed</th>\n",
-       "      <td>217</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>504</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>4.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>203</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>539</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>2.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>South Asian</th>\n",
-       "      <td>224</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>511</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>5.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
+      "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 LD (aged 16-64) 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 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>White</th>\n",
-       "      <td>217</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>504</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>4.2</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 rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
-       "      <th>African</th>\n",
-       "      <td>77</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>182</td>\n",
-       "      <td>38.5</td>\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",
        "    </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>34.8</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>4.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Chinese</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>63</td>\n",
-       "      <td>40.9</td>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
+       "      <th>F</th>\n",
        "      <td>154</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other Asian</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>British or Mixed British</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Indian or British Indian</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Irish</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>Other Black</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Other White</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>Other mixed</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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>70</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>161</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>203</td>\n",
-       "      <td>43.9</td>\n",
-       "      <td>462</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>3.0</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>White + Asian</th>\n",
-       "      <td>63</td>\n",
-       "      <td>37.5</td>\n",
+       "      <th>M</th>\n",
        "      <td>168</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>4.2</td>\n",
+       "      <td>42.1</td>\n",
+       "      <td>399</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Black African</th>\n",
+       "      <th rowspan=\"16\" valign=\"top\">Age band</th>\n",
+       "      <th>0</th>\n",
+       "      <td>28</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>56</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>161</td>\n",
-       "      <td>34.8</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White + Black Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>4.8</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>245</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>609</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>2.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>238</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>581</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>252</td>\n",
+       "      <th>0-15</th>\n",
+       "      <td>21</td>\n",
        "      <td>42.9</td>\n",
-       "      <td>588</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>245</td>\n",
-       "      <td>44.9</td>\n",
-       "      <td>546</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>3.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5 Least deprived</th>\n",
-       "      <td>210</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>574</td>\n",
-       "      <td>34.1</td>\n",
-       "      <td>2.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
-       "      <td>63</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>161</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>0.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">BMI</th>\n",
-       "      <th>30+</th>\n",
-       "      <td>392</td>\n",
-       "      <td>43.4</td>\n",
-       "      <td>903</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>under 30</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2156</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.0</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\">Chronic cardiac disease</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>30-34</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",
+       "      <td>28.6</td>\n",
+       "      <td>49</td>\n",
+       "      <td>14.3</td>\n",
+       "      <td>14.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Current COPD</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\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",
        "    </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\">DMARDs</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>50-54</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",
+       "      <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\">Dementia</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>60-64</th>\n",
        "      <td>14</td>\n",
        "      <td>40.0</td>\n",
        "      <td>35</td>\n",
@@ -22849,423 +27646,246 @@
        "      <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>1246</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3024</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>65-69</th>\n",
        "      <td>21</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>42</td>\n",
-       "      <td>50.0</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\">Learning disability</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>3003</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>yes</th>\n",
+       "      <th>70-74</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",
+       "      <td>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <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>1246</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3024</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>14</td>\n",
-       "      <td>40.0</td>\n",
+       "      <th>80-84</th>\n",
+       "      <td>7</td>\n",
+       "      <td>20.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>40.0</td>\n",
+       "      <td>20.0</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>1253</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>yes</th>\n",
-       "      <td>7</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>25.0</td>\n",
+       "      <th>90+</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 rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.0</td>\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",
        "    </tr>\n",
        "    <tr>\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",
+       "      <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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3.0</td>\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",
        "    </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>South Asian</th>\n",
+       "      <td>42</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>126</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
-       "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38.0</td>\n",
-       "      <td>3.0</td>\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",
        "    </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>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",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                                                               Vaccinated at 05 Mar (n)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  1262   \n",
-       "Sex                                       F                                                         665   \n",
-       "                                          M                                                         595   \n",
-       "Ethnicity (broad categories)              Black                                                     224   \n",
-       "                                          Mixed                                                     217   \n",
-       "                                          Other                                                     203   \n",
-       "                                          South Asian                                               224   \n",
-       "                                          Unknown                                                   189   \n",
-       "                                          White                                                     217   \n",
-       "ethnicity 16 groups                        African                                                   77   \n",
-       "                                           Bangladeshi or British Bangladeshi                        56   \n",
-       "                                           Caribbean                                                 63   \n",
-       "                                           Chinese                                                   70   \n",
-       "                                           Other                                                     63   \n",
-       "                                           Other Asian                                               70   \n",
-       "                                          British or Mixed British                                   63   \n",
-       "                                          Indian or British Indian                                   70   \n",
-       "                                          Irish                                                      63   \n",
-       "                                          Other Black                                                63   \n",
-       "                                          Other White                                                70   \n",
-       "                                          Other mixed                                                77   \n",
-       "                                          Pakistani or British Pakistani                             70   \n",
-       "                                          Unknown                                                   203   \n",
-       "                                          White + Asian                                              63   \n",
-       "                                          White + Black African                                      56   \n",
-       "                                          White + Black Caribbean                                    63   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                           245   \n",
-       "                                          2                                                         238   \n",
-       "                                          3                                                         252   \n",
-       "                                          4                                                         245   \n",
-       "                                          5 Least deprived                                          210   \n",
-       "                                          Unknown                                                    63   \n",
-       "BMI                                       30+                                                       392   \n",
-       "                                          under 30                                                  868   \n",
-       "Chronic cardiac disease                   no                                                       1246   \n",
-       "                                          yes                                                        14   \n",
-       "Current COPD                              no                                                       1253   \n",
-       "                                          yes                                                         7   \n",
-       "DMARDs                                    no                                                       1246   \n",
-       "                                          yes                                                        21   \n",
-       "Dementia                                  no                                                       1246   \n",
-       "                                          yes                                                        14   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       1246   \n",
-       "                                          yes                                                        21   \n",
-       "Learning disability                       no                                                       1246   \n",
-       "                                          yes                                                        21   \n",
-       "SSRI (last 12 months)                     no                                                       1246   \n",
-       "                                          yes                                                        14   \n",
-       "Chemo or radiotherapy                     no                                                       1253   \n",
-       "                                          yes                                                         7   \n",
-       "Cancer (lung)                             no                                                       1253   \n",
-       "                                          yes                                                         7   \n",
-       "Cancer (excluding lung/haem)              no                                                       1253   \n",
-       "                                          yes                                                        14   \n",
-       "Cancer (haematological)                   no                                                       1246   \n",
-       "                                          yes                                                        14   \n",
+       "                                          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",
        "\n",
-       "                                                                               Vaccinated at 05 Mar (%)  \\\n",
-       "Category                                  Group                                                           \n",
-       "overall                                   overall                                                  41.3   \n",
-       "Sex                                       F                                                        42.0   \n",
-       "                                          M                                                        40.3   \n",
-       "Ethnicity (broad categories)              Black                                                    41.0   \n",
-       "                                          Mixed                                                    43.1   \n",
-       "                                          Other                                                    37.7   \n",
-       "                                          South Asian                                              43.8   \n",
-       "                                          Unknown                                                  42.2   \n",
-       "                                          White                                                    43.1   \n",
-       "ethnicity 16 groups                        African                                                 42.3   \n",
-       "                                           Bangladeshi or British Bangladeshi                      34.8   \n",
-       "                                           Caribbean                                               42.9   \n",
-       "                                           Chinese                                                 43.5   \n",
-       "                                           Other                                                   40.9   \n",
-       "                                           Other Asian                                             41.7   \n",
-       "                                          British or Mixed British                                 45.0   \n",
-       "                                          Indian or British Indian                                 38.5   \n",
-       "                                          Irish                                                    42.9   \n",
-       "                                          Other Black                                              36.0   \n",
-       "                                          Other White                                              41.7   \n",
-       "                                          Other mixed                                              42.3   \n",
-       "                                          Pakistani or British Pakistani                           43.5   \n",
-       "                                          Unknown                                                  43.9   \n",
-       "                                          White + Asian                                            37.5   \n",
-       "                                          White + Black African                                    34.8   \n",
-       "                                          White + Black Caribbean                                  42.9   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          40.2   \n",
-       "                                          2                                                        41.0   \n",
-       "                                          3                                                        42.9   \n",
-       "                                          4                                                        44.9   \n",
-       "                                          5 Least deprived                                         36.6   \n",
-       "                                          Unknown                                                  39.1   \n",
-       "BMI                                       30+                                                      43.4   \n",
-       "                                          under 30                                                 40.3   \n",
-       "Chronic cardiac disease                   no                                                       41.1   \n",
-       "                                          yes                                                      40.0   \n",
-       "Current COPD                              no                                                       41.2   \n",
-       "                                          yes                                                      33.3   \n",
-       "DMARDs                                    no                                                       41.1   \n",
-       "                                          yes                                                      60.0   \n",
-       "Dementia                                  no                                                       41.1   \n",
-       "                                          yes                                                      40.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                       41.2   \n",
-       "                                          yes                                                      50.0   \n",
-       "Learning disability                       no                                                       41.5   \n",
-       "                                          yes                                                      37.5   \n",
-       "SSRI (last 12 months)                     no                                                       41.2   \n",
-       "                                          yes                                                      40.0   \n",
-       "Chemo or radiotherapy                     no                                                       41.3   \n",
-       "                                          yes                                                      25.0   \n",
-       "Cancer (lung)                             no                                                       41.2   \n",
-       "                                          yes                                                      25.0   \n",
-       "Cancer (excluding lung/haem)              no                                                       41.3   \n",
-       "                                          yes                                                      40.0   \n",
-       "Cancer (haematological)                   no                                                       41.0   \n",
-       "                                          yes                                                      50.0   \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",
        "\n",
-       "                                                                               Total eligible  \\\n",
-       "Category                                  Group                                                 \n",
-       "overall                                   overall                                        3059   \n",
-       "Sex                                       F                                              1582   \n",
-       "                                          M                                              1477   \n",
-       "Ethnicity (broad categories)              Black                                           546   \n",
-       "                                          Mixed                                           504   \n",
-       "                                          Other                                           539   \n",
-       "                                          South Asian                                     511   \n",
-       "                                          Unknown                                         448   \n",
-       "                                          White                                           504   \n",
-       "ethnicity 16 groups                        African                                        182   \n",
-       "                                           Bangladeshi or British Bangladeshi             161   \n",
-       "                                           Caribbean                                      147   \n",
-       "                                           Chinese                                        161   \n",
-       "                                           Other                                          154   \n",
-       "                                           Other Asian                                    168   \n",
-       "                                          British or Mixed British                        140   \n",
-       "                                          Indian or British Indian                        182   \n",
-       "                                          Irish                                           147   \n",
-       "                                          Other Black                                     175   \n",
-       "                                          Other White                                     168   \n",
-       "                                          Other mixed                                     182   \n",
-       "                                          Pakistani or British Pakistani                  161   \n",
-       "                                          Unknown                                         462   \n",
-       "                                          White + Asian                                   168   \n",
-       "                                          White + Black African                           161   \n",
-       "                                          White + Black Caribbean                         147   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                 609   \n",
-       "                                          2                                               581   \n",
-       "                                          3                                               588   \n",
-       "                                          4                                               546   \n",
-       "                                          5 Least deprived                                574   \n",
-       "                                          Unknown                                         161   \n",
-       "BMI                                       30+                                             903   \n",
-       "                                          under 30                                       2156   \n",
-       "Chronic cardiac disease                   no                                             3031   \n",
-       "                                          yes                                              35   \n",
-       "Current COPD                              no                                             3038   \n",
-       "                                          yes                                              21   \n",
-       "DMARDs                                    no                                             3031   \n",
-       "                                          yes                                              35   \n",
-       "Dementia                                  no                                             3031   \n",
-       "                                          yes                                              35   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                             3024   \n",
-       "                                          yes                                              42   \n",
-       "Learning disability                       no                                             3003   \n",
-       "                                          yes                                              56   \n",
-       "SSRI (last 12 months)                     no                                             3024   \n",
-       "                                          yes                                              35   \n",
-       "Chemo or radiotherapy                     no                                             3031   \n",
-       "                                          yes                                              28   \n",
-       "Cancer (lung)                             no                                             3038   \n",
-       "                                          yes                                              28   \n",
-       "Cancer (excluding lung/haem)              no                                             3031   \n",
-       "                                          yes                                              35   \n",
-       "Cancer (haematological)                   no                                             3038   \n",
-       "                                          yes                                              28   \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",
        "\n",
-       "                                                                               Previous week's vaccination coverage (%)  \\\n",
-       "Category                                  Group                                                                           \n",
-       "overall                                   overall                                                                  38.3   \n",
-       "Sex                                       F                                                                        38.9   \n",
-       "                                          M                                                                        37.4   \n",
-       "Ethnicity (broad categories)              Black                                                                    38.5   \n",
-       "                                          Mixed                                                                    38.9   \n",
-       "                                          Other                                                                    35.1   \n",
-       "                                          South Asian                                                              38.4   \n",
-       "                                          Unknown                                                                  39.1   \n",
-       "                                          White                                                                    38.9   \n",
-       "ethnicity 16 groups                        African                                                                 38.5   \n",
-       "                                           Bangladeshi or British Bangladeshi                                      34.8   \n",
-       "                                           Caribbean                                                               38.1   \n",
-       "                                           Chinese                                                                 39.1   \n",
-       "                                           Other                                                                   40.9   \n",
-       "                                           Other Asian                                                             37.5   \n",
-       "                                          British or Mixed British                                                 45.0   \n",
-       "                                          Indian or British Indian                                                 34.6   \n",
-       "                                          Irish                                                                    42.9   \n",
-       "                                          Other Black                                                              32.0   \n",
-       "                                          Other White                                                              37.5   \n",
-       "                                          Other mixed                                                              38.5   \n",
-       "                                          Pakistani or British Pakistani                                           43.5   \n",
-       "                                          Unknown                                                                  40.9   \n",
-       "                                          White + Asian                                                            33.3   \n",
-       "                                          White + Black African                                                    34.8   \n",
-       "                                          White + Black Caribbean                                                  38.1   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                          37.9   \n",
-       "                                          2                                                                        37.3   \n",
-       "                                          3                                                                        40.5   \n",
-       "                                          4                                                                        41.0   \n",
-       "                                          5 Least deprived                                                         34.1   \n",
-       "                                          Unknown                                                                  39.1   \n",
-       "BMI                                       30+                                                                      40.3   \n",
-       "                                          under 30                                                                 37.3   \n",
-       "Chronic cardiac disease                   no                                                                       38.1   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Current COPD                              no                                                                       38.2   \n",
-       "                                          yes                                                                      33.3   \n",
-       "DMARDs                                    no                                                                       38.1   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Dementia                                  no                                                                       38.1   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Psychosis, schizophrenia, or bipolar      no                                                                       38.2   \n",
-       "                                          yes                                                                      50.0   \n",
-       "Learning disability                       no                                                                       38.5   \n",
-       "                                          yes                                                                      25.0   \n",
-       "SSRI (last 12 months)                     no                                                                       38.2   \n",
-       "                                          yes                                                                      40.0   \n",
-       "Chemo or radiotherapy                     no                                                                       38.3   \n",
-       "                                          yes                                                                      25.0   \n",
-       "Cancer (lung)                             no                                                                       38.2   \n",
-       "                                          yes                                                                      25.0   \n",
-       "Cancer (excluding lung/haem)              no                                                                       38.3   \n",
-       "                                          yes                                                                      20.0   \n",
-       "Cancer (haematological)                   no                                                                       38.0   \n",
-       "                                          yes                                                                      50.0   \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",
        "\n",
-       "                                                                               Vaccinated over last 7d (%)  \n",
-       "Category                                  Group                                                             \n",
-       "overall                                   overall                                                      3.0  \n",
-       "Sex                                       F                                                            3.1  \n",
-       "                                          M                                                            2.9  \n",
-       "Ethnicity (broad categories)              Black                                                        2.5  \n",
-       "                                          Mixed                                                        4.2  \n",
-       "                                          Other                                                        2.6  \n",
-       "                                          South Asian                                                  5.4  \n",
-       "                                          Unknown                                                      3.1  \n",
-       "                                          White                                                        4.2  \n",
-       "ethnicity 16 groups                        African                                                     3.8  \n",
-       "                                           Bangladeshi or British Bangladeshi                          0.0  \n",
-       "                                           Caribbean                                                   4.8  \n",
-       "                                           Chinese                                                     4.4  \n",
-       "                                           Other                                                       0.0  \n",
-       "                                           Other Asian                                                 4.2  \n",
-       "                                          British or Mixed British                                     0.0  \n",
-       "                                          Indian or British Indian                                     3.9  \n",
-       "                                          Irish                                                        0.0  \n",
-       "                                          Other Black                                                  4.0  \n",
-       "                                          Other White                                                  4.2  \n",
-       "                                          Other mixed                                                  3.8  \n",
-       "                                          Pakistani or British Pakistani                               0.0  \n",
-       "                                          Unknown                                                      3.0  \n",
-       "                                          White + Asian                                                4.2  \n",
-       "                                          White + Black African                                        0.0  \n",
-       "                                          White + Black Caribbean                                      4.8  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                              2.3  \n",
-       "                                          2                                                            3.7  \n",
-       "                                          3                                                            2.4  \n",
-       "                                          4                                                            3.9  \n",
-       "                                          5 Least deprived                                             2.5  \n",
-       "                                          Unknown                                                      0.0  \n",
-       "BMI                                       30+                                                          3.1  \n",
-       "                                          under 30                                                     3.0  \n",
-       "Chronic cardiac disease                   no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Current COPD                              no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "DMARDs                                    no                                                           3.0  \n",
-       "                                          yes                                                         20.0  \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                                                           3.0  \n",
-       "                                          yes                                                         12.5  \n",
-       "SSRI (last 12 months)                     no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Chemo or radiotherapy                     no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (lung)                             no                                                           3.0  \n",
-       "                                          yes                                                          0.0  \n",
-       "Cancer (excluding lung/haem)              no                                                           3.0  \n",
-       "                                          yes                                                         20.0  \n",
-       "Cancer (haematological)                   no                                                           3.0  \n",
-       "                                          yes                                                          0.0  "
+       "                                          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  "
       ]
      },
      "metadata": {},
@@ -23284,18 +27904,6 @@
      "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": [
@@ -23308,23 +27916,11 @@
      "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 under 65s, not in other eligible groups shown population \n",
+       " ## Cumulative vaccination figures among 60-64 population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -23357,373 +27953,469 @@
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th>Vaccinated at 05 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",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Category</th>\n",
-       "      <th>Group</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>12328</td>\n",
-       "      <td>11325.0</td>\n",
-       "      <td>1003.0</td>\n",
-       "      <td>8.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
-       "      <th>F</th>\n",
-       "      <td>6272</td>\n",
-       "      <td>5761.0</td>\n",
-       "      <td>511.0</td>\n",
-       "      <td>8.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>6062</td>\n",
-       "      <td>5558.0</td>\n",
-       "      <td>504.0</td>\n",
-       "      <td>9.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"7\" valign=\"top\">Age band</th>\n",
-       "      <th>16-29</th>\n",
-       "      <td>1568</td>\n",
-       "      <td>1428.0</td>\n",
-       "      <td>140.0</td>\n",
-       "      <td>9.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-39</th>\n",
-       "      <td>1631</td>\n",
-       "      <td>1505.0</td>\n",
-       "      <td>126.0</td>\n",
-       "      <td>8.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-49</th>\n",
-       "      <td>1666</td>\n",
-       "      <td>1533.0</td>\n",
-       "      <td>133.0</td>\n",
-       "      <td>8.7</td>\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>50-59</th>\n",
-       "      <td>1666</td>\n",
-       "      <td>1540.0</td>\n",
-       "      <td>126.0</td>\n",
-       "      <td>8.2</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>60-69</th>\n",
-       "      <td>1680</td>\n",
-       "      <td>1547.0</td>\n",
-       "      <td>133.0</td>\n",
-       "      <td>8.6</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-79</th>\n",
-       "      <td>2716</td>\n",
-       "      <td>2492.0</td>\n",
-       "      <td>224.0</td>\n",
-       "      <td>9.0</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80+</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>1288.0</td>\n",
-       "      <td>112.0</td>\n",
-       "      <td>8.7</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">Ethnicity (broad categories)</th>\n",
        "      <th>Black</th>\n",
-       "      <td>1974</td>\n",
-       "      <td>1806.0</td>\n",
-       "      <td>168.0</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>161</td>\n",
+       "      <td>38.3</td>\n",
+       "      <td>420</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>2142</td>\n",
-       "      <td>1960.0</td>\n",
-       "      <td>182.0</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>168</td>\n",
+       "      <td>38.1</td>\n",
+       "      <td>441</td>\n",
+       "      <td>34.9</td>\n",
+       "      <td>3.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>2163</td>\n",
-       "      <td>2009.0</td>\n",
-       "      <td>154.0</td>\n",
-       "      <td>7.7</td>\n",
+       "      <td>203</td>\n",
+       "      <td>42.6</td>\n",
+       "      <td>476</td>\n",
+       "      <td>39.7</td>\n",
+       "      <td>2.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>2128</td>\n",
-       "      <td>1967.0</td>\n",
-       "      <td>161.0</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>168</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>462</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>1834</td>\n",
-       "      <td>1666.0</td>\n",
-       "      <td>168.0</td>\n",
-       "      <td>10.1</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>White</th>\n",
-       "      <td>2093</td>\n",
-       "      <td>1911.0</td>\n",
-       "      <td>182.0</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>168</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 rowspan=\"17\" valign=\"top\">ethnicity 16 groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>644</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>10.8</td>\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>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>644</td>\n",
-       "      <td>602.0</td>\n",
-       "      <td>42.0</td>\n",
-       "      <td>7.0</td>\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>Caribbean</th>\n",
-       "      <td>679</td>\n",
-       "      <td>637.0</td>\n",
-       "      <td>42.0</td>\n",
-       "      <td>6.6</td>\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>Chinese</th>\n",
-       "      <td>644</td>\n",
-       "      <td>595.0</td>\n",
-       "      <td>49.0</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>56</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>154</td>\n",
+       "      <td>31.8</td>\n",
+       "      <td>4.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>623</td>\n",
-       "      <td>574.0</td>\n",
-       "      <td>49.0</td>\n",
-       "      <td>8.5</td>\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>Other Asian</th>\n",
-       "      <td>693</td>\n",
-       "      <td>630.0</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>10.0</td>\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>British or Mixed British</th>\n",
-       "      <td>679</td>\n",
-       "      <td>609.0</td>\n",
-       "      <td>70.0</td>\n",
-       "      <td>11.5</td>\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>Indian or British Indian</th>\n",
-       "      <td>644</td>\n",
-       "      <td>602.0</td>\n",
-       "      <td>42.0</td>\n",
-       "      <td>7.0</td>\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>Irish</th>\n",
-       "      <td>637</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>9.6</td>\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>Other Black</th>\n",
-       "      <td>693</td>\n",
-       "      <td>637.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>8.8</td>\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>Other White</th>\n",
-       "      <td>630</td>\n",
-       "      <td>574.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>9.8</td>\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 mixed</th>\n",
-       "      <td>637</td>\n",
-       "      <td>581.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>42</td>\n",
+       "      <td>31.6</td>\n",
+       "      <td>133</td>\n",
+       "      <td>31.6</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>658</td>\n",
-       "      <td>602.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>9.3</td>\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>Unknown</th>\n",
-       "      <td>1869</td>\n",
-       "      <td>1715.0</td>\n",
-       "      <td>154.0</td>\n",
-       "      <td>9.0</td>\n",
+       "      <td>161</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>413</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>1.7</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>White + Asian</th>\n",
-       "      <td>665</td>\n",
-       "      <td>616.0</td>\n",
-       "      <td>49.0</td>\n",
-       "      <td>8.0</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 + Black African</th>\n",
-       "      <td>637</td>\n",
-       "      <td>588.0</td>\n",
-       "      <td>49.0</td>\n",
-       "      <td>8.3</td>\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>White + Black Caribbean</th>\n",
-       "      <td>658</td>\n",
-       "      <td>602.0</td>\n",
-       "      <td>56.0</td>\n",
-       "      <td>9.3</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=\"6\" valign=\"top\">Index of Multiple Deprivation (quintiles)</th>\n",
-       "      <th>1 Most deprived</th>\n",
-       "      <td>2296</td>\n",
-       "      <td>2121.0</td>\n",
-       "      <td>175.0</td>\n",
-       "      <td>8.3</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2366</td>\n",
-       "      <td>2177.0</td>\n",
-       "      <td>189.0</td>\n",
-       "      <td>8.7</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>3</th>\n",
-       "      <td>2401</td>\n",
-       "      <td>2198.0</td>\n",
-       "      <td>203.0</td>\n",
-       "      <td>9.2</td>\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>4</th>\n",
-       "      <td>2345</td>\n",
-       "      <td>2156.0</td>\n",
-       "      <td>189.0</td>\n",
-       "      <td>8.8</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>5 Least deprived</th>\n",
-       "      <td>2331</td>\n",
-       "      <td>2121.0</td>\n",
-       "      <td>210.0</td>\n",
-       "      <td>9.9</td>\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>Unknown</th>\n",
-       "      <td>588</td>\n",
-       "      <td>553.0</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>6.3</td>\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\">BMI</th>\n",
-       "      <th>30+</th>\n",
-       "      <td>3661</td>\n",
-       "      <td>3360.0</td>\n",
-       "      <td>301.0</td>\n",
-       "      <td>9.0</td>\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>under 30</th>\n",
-       "      <td>8666</td>\n",
-       "      <td>7966.0</td>\n",
-       "      <td>700.0</td>\n",
-       "      <td>8.8</td>\n",
+       "      <th>yes</th>\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\">Chronic cardiac disease</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Chemo or radiotherapy</th>\n",
        "      <th>no</th>\n",
-       "      <td>12222</td>\n",
-       "      <td>11235.0</td>\n",
-       "      <td>987.0</td>\n",
-       "      <td>8.8</td>\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>105</td>\n",
-       "      <td>91.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>15.4</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\">Current COPD</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (lung)</th>\n",
        "      <th>no</th>\n",
-       "      <td>12194</td>\n",
-       "      <td>11200.0</td>\n",
-       "      <td>994.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>1001</td>\n",
+       "      <td>39.3</td>\n",
+       "      <td>2548</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>133</td>\n",
-       "      <td>126.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>5.6</td>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>25.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">DMARDs</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (excluding lung/haem)</th>\n",
        "      <th>no</th>\n",
-       "      <td>12201</td>\n",
-       "      <td>11207.0</td>\n",
-       "      <td>994.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>994</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>2548</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>126</td>\n",
-       "      <td>119.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>5.9</td>\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 rowspan=\"2\" valign=\"top\">SSRI (last 12 months)</th>\n",
+       "      <th rowspan=\"2\" valign=\"top\">Cancer (haematological)</th>\n",
        "      <th>no</th>\n",
-       "      <td>12222</td>\n",
-       "      <td>11228.0</td>\n",
-       "      <td>994.0</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>994</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>2548</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>3.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>105</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>7.1</td>\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",
@@ -23732,211 +28424,288 @@
       "text/plain": [
        "                                                                               Vaccinated at 05 Mar (n)  \\\n",
        "Category                                  Group                                                           \n",
-       "overall                                   overall                                                 12328   \n",
-       "Sex                                       F                                                        6272   \n",
-       "                                          M                                                        6062   \n",
-       "Age band                                  16-29                                                    1568   \n",
-       "                                          30-39                                                    1631   \n",
-       "                                          40-49                                                    1666   \n",
-       "                                          50-59                                                    1666   \n",
-       "                                          60-69                                                    1680   \n",
-       "                                          70-79                                                    2716   \n",
-       "                                          80+                                                      1400   \n",
-       "Ethnicity (broad categories)              Black                                                    1974   \n",
-       "                                          Mixed                                                    2142   \n",
-       "                                          Other                                                    2163   \n",
-       "                                          South Asian                                              2128   \n",
-       "                                          Unknown                                                  1834   \n",
-       "                                          White                                                    2093   \n",
-       "ethnicity 16 groups                        African                                                  644   \n",
-       "                                           Bangladeshi or British Bangladeshi                       644   \n",
-       "                                           Caribbean                                                679   \n",
-       "                                           Chinese                                                  644   \n",
-       "                                           Other                                                    623   \n",
-       "                                           Other Asian                                              693   \n",
-       "                                          British or Mixed British                                  679   \n",
-       "                                          Indian or British Indian                                  644   \n",
-       "                                          Irish                                                     637   \n",
-       "                                          Other Black                                               693   \n",
-       "                                          Other White                                               630   \n",
-       "                                          Other mixed                                               637   \n",
-       "                                          Pakistani or British Pakistani                            658   \n",
-       "                                          Unknown                                                  1869   \n",
-       "                                          White + Asian                                             665   \n",
-       "                                          White + Black African                                     637   \n",
-       "                                          White + Black Caribbean                                   658   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                          2296   \n",
-       "                                          2                                                        2366   \n",
-       "                                          3                                                        2401   \n",
-       "                                          4                                                        2345   \n",
-       "                                          5 Least deprived                                         2331   \n",
-       "                                          Unknown                                                   588   \n",
-       "BMI                                       30+                                                      3661   \n",
-       "                                          under 30                                                 8666   \n",
-       "Chronic cardiac disease                   no                                                      12222   \n",
-       "                                          yes                                                       105   \n",
-       "Current COPD                              no                                                      12194   \n",
-       "                                          yes                                                       133   \n",
-       "DMARDs                                    no                                                      12201   \n",
-       "                                          yes                                                       126   \n",
-       "SSRI (last 12 months)                     no                                                      12222   \n",
-       "                                          yes                                                       105   \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",
+       "                                          yes                                                         7   \n",
+       "Dementia                                  no                                                        994   \n",
+       "                                          yes                                                        14   \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                        994   \n",
+       "                                          yes                                                        14   \n",
+       "SSRI (last 12 months)                     no                                                       1008   \n",
+       "                                          yes                                                         0   \n",
+       "Chemo or radiotherapy                     no                                                       1001   \n",
+       "                                          yes                                                         7   \n",
+       "Cancer (lung)                             no                                                       1001   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (excluding lung/haem)              no                                                        994   \n",
+       "                                          yes                                                        14   \n",
+       "Cancer (haematological)                   no                                                        994   \n",
+       "                                          yes                                                        14   \n",
        "\n",
-       "                                                                               Previous week's vaccination figure (n)  \\\n",
-       "Category                                  Group                                                                         \n",
-       "overall                                   overall                                                             11325.0   \n",
-       "Sex                                       F                                                                    5761.0   \n",
-       "                                          M                                                                    5558.0   \n",
-       "Age band                                  16-29                                                                1428.0   \n",
-       "                                          30-39                                                                1505.0   \n",
-       "                                          40-49                                                                1533.0   \n",
-       "                                          50-59                                                                1540.0   \n",
-       "                                          60-69                                                                1547.0   \n",
-       "                                          70-79                                                                2492.0   \n",
-       "                                          80+                                                                  1288.0   \n",
-       "Ethnicity (broad categories)              Black                                                                1806.0   \n",
-       "                                          Mixed                                                                1960.0   \n",
-       "                                          Other                                                                2009.0   \n",
-       "                                          South Asian                                                          1967.0   \n",
-       "                                          Unknown                                                              1666.0   \n",
-       "                                          White                                                                1911.0   \n",
-       "ethnicity 16 groups                        African                                                              581.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                                   602.0   \n",
-       "                                           Caribbean                                                            637.0   \n",
-       "                                           Chinese                                                              595.0   \n",
-       "                                           Other                                                                574.0   \n",
-       "                                           Other Asian                                                          630.0   \n",
-       "                                          British or Mixed British                                              609.0   \n",
-       "                                          Indian or British Indian                                              602.0   \n",
-       "                                          Irish                                                                 581.0   \n",
-       "                                          Other Black                                                           637.0   \n",
-       "                                          Other White                                                           574.0   \n",
-       "                                          Other mixed                                                           581.0   \n",
-       "                                          Pakistani or British Pakistani                                        602.0   \n",
-       "                                          Unknown                                                              1715.0   \n",
-       "                                          White + Asian                                                         616.0   \n",
-       "                                          White + Black African                                                 588.0   \n",
-       "                                          White + Black Caribbean                                               602.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                      2121.0   \n",
-       "                                          2                                                                    2177.0   \n",
-       "                                          3                                                                    2198.0   \n",
-       "                                          4                                                                    2156.0   \n",
-       "                                          5 Least deprived                                                     2121.0   \n",
-       "                                          Unknown                                                               553.0   \n",
-       "BMI                                       30+                                                                  3360.0   \n",
-       "                                          under 30                                                             7966.0   \n",
-       "Chronic cardiac disease                   no                                                                  11235.0   \n",
-       "                                          yes                                                                    91.0   \n",
-       "Current COPD                              no                                                                  11200.0   \n",
-       "                                          yes                                                                   126.0   \n",
-       "DMARDs                                    no                                                                  11207.0   \n",
-       "                                          yes                                                                   119.0   \n",
-       "SSRI (last 12 months)                     no                                                                  11228.0   \n",
-       "                                          yes                                                                    98.0   \n",
+       "                                                                               Vaccinated at 05 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",
+       "                                          yes                                                      50.0   \n",
+       "Cancer (haematological)                   no                                                       39.0   \n",
+       "                                          yes                                                      50.0   \n",
        "\n",
-       "                                                                               Vaccinated over last 7d (n)  \\\n",
-       "Category                                  Group                                                              \n",
-       "overall                                   overall                                                   1003.0   \n",
-       "Sex                                       F                                                          511.0   \n",
-       "                                          M                                                          504.0   \n",
-       "Age band                                  16-29                                                      140.0   \n",
-       "                                          30-39                                                      126.0   \n",
-       "                                          40-49                                                      133.0   \n",
-       "                                          50-59                                                      126.0   \n",
-       "                                          60-69                                                      133.0   \n",
-       "                                          70-79                                                      224.0   \n",
-       "                                          80+                                                        112.0   \n",
-       "Ethnicity (broad categories)              Black                                                      168.0   \n",
-       "                                          Mixed                                                      182.0   \n",
-       "                                          Other                                                      154.0   \n",
-       "                                          South Asian                                                161.0   \n",
-       "                                          Unknown                                                    168.0   \n",
-       "                                          White                                                      182.0   \n",
-       "ethnicity 16 groups                        African                                                    63.0   \n",
-       "                                           Bangladeshi or British Bangladeshi                         42.0   \n",
-       "                                           Caribbean                                                  42.0   \n",
-       "                                           Chinese                                                    49.0   \n",
-       "                                           Other                                                      49.0   \n",
-       "                                           Other Asian                                                63.0   \n",
-       "                                          British or Mixed British                                    70.0   \n",
-       "                                          Indian or British Indian                                    42.0   \n",
-       "                                          Irish                                                       56.0   \n",
-       "                                          Other Black                                                 56.0   \n",
-       "                                          Other White                                                 56.0   \n",
-       "                                          Other mixed                                                 56.0   \n",
-       "                                          Pakistani or British Pakistani                              56.0   \n",
-       "                                          Unknown                                                    154.0   \n",
-       "                                          White + Asian                                               49.0   \n",
-       "                                          White + Black African                                       49.0   \n",
-       "                                          White + Black Caribbean                                     56.0   \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                            175.0   \n",
-       "                                          2                                                          189.0   \n",
-       "                                          3                                                          203.0   \n",
-       "                                          4                                                          189.0   \n",
-       "                                          5 Least deprived                                           210.0   \n",
-       "                                          Unknown                                                     35.0   \n",
-       "BMI                                       30+                                                        301.0   \n",
-       "                                          under 30                                                   700.0   \n",
-       "Chronic cardiac disease                   no                                                         987.0   \n",
-       "                                          yes                                                         14.0   \n",
-       "Current COPD                              no                                                         994.0   \n",
-       "                                          yes                                                          7.0   \n",
-       "DMARDs                                    no                                                         994.0   \n",
-       "                                          yes                                                          7.0   \n",
-       "SSRI (last 12 months)                     no                                                         994.0   \n",
-       "                                          yes                                                          7.0   \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",
+       "                                          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",
+       "                                          yes                                              28   \n",
+       "Cancer (excluding lung/haem)              no                                             2548   \n",
+       "                                          yes                                              28   \n",
+       "Cancer (haematological)                   no                                             2548   \n",
+       "                                          yes                                              28   \n",
        "\n",
-       "                                                                               Increase in coverage over last 7d (%)  \n",
-       "Category                                  Group                                                                       \n",
-       "overall                                   overall                                                                8.9  \n",
-       "Sex                                       F                                                                      8.9  \n",
-       "                                          M                                                                      9.1  \n",
-       "Age band                                  16-29                                                                  9.8  \n",
-       "                                          30-39                                                                  8.4  \n",
-       "                                          40-49                                                                  8.7  \n",
-       "                                          50-59                                                                  8.2  \n",
-       "                                          60-69                                                                  8.6  \n",
-       "                                          70-79                                                                  9.0  \n",
-       "                                          80+                                                                    8.7  \n",
-       "Ethnicity (broad categories)              Black                                                                  9.3  \n",
-       "                                          Mixed                                                                  9.3  \n",
-       "                                          Other                                                                  7.7  \n",
-       "                                          South Asian                                                            8.2  \n",
-       "                                          Unknown                                                               10.1  \n",
-       "                                          White                                                                  9.5  \n",
-       "ethnicity 16 groups                        African                                                              10.8  \n",
-       "                                           Bangladeshi or British Bangladeshi                                    7.0  \n",
-       "                                           Caribbean                                                             6.6  \n",
-       "                                           Chinese                                                               8.2  \n",
-       "                                           Other                                                                 8.5  \n",
-       "                                           Other Asian                                                          10.0  \n",
-       "                                          British or Mixed British                                              11.5  \n",
-       "                                          Indian or British Indian                                               7.0  \n",
-       "                                          Irish                                                                  9.6  \n",
-       "                                          Other Black                                                            8.8  \n",
-       "                                          Other White                                                            9.8  \n",
-       "                                          Other mixed                                                            9.6  \n",
-       "                                          Pakistani or British Pakistani                                         9.3  \n",
-       "                                          Unknown                                                                9.0  \n",
-       "                                          White + Asian                                                          8.0  \n",
-       "                                          White + Black African                                                  8.3  \n",
-       "                                          White + Black Caribbean                                                9.3  \n",
-       "Index of Multiple Deprivation (quintiles) 1 Most deprived                                                        8.3  \n",
-       "                                          2                                                                      8.7  \n",
-       "                                          3                                                                      9.2  \n",
-       "                                          4                                                                      8.8  \n",
-       "                                          5 Least deprived                                                       9.9  \n",
-       "                                          Unknown                                                                6.3  \n",
-       "BMI                                       30+                                                                    9.0  \n",
-       "                                          under 30                                                               8.8  \n",
-       "Chronic cardiac disease                   no                                                                     8.8  \n",
-       "                                          yes                                                                   15.4  \n",
-       "Current COPD                              no                                                                     8.9  \n",
-       "                                          yes                                                                    5.6  \n",
-       "DMARDs                                    no                                                                     8.9  \n",
-       "                                          yes                                                                    5.9  \n",
-       "SSRI (last 12 months)                     no                                                                     8.9  \n",
-       "                                          yes                                                                    7.1  "
+       "                                                                               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",
+       "                                          yes                                                                      25.0   \n",
+       "Cancer (excluding lung/haem)              no                                                                       35.7   \n",
+       "                                          yes                                                                      50.0   \n",
+       "Cancer (haematological)                   no                                                                       35.7   \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",
+       "                                          yes                                                          0.0  \n",
+       "Psychosis, schizophrenia, or bipolar      no                                                           3.3  \n",
+       "                                          yes                                                         33.4  \n",
+       "SSRI (last 12 months)                     no                                                           3.6  \n",
+       "                                          yes                                                          0.0  \n",
+       "Chemo or radiotherapy                     no                                                           3.3  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (lung)                             no                                                           3.3  \n",
+       "                                          yes                                                         25.0  \n",
+       "Cancer (excluding lung/haem)              no                                                           3.3  \n",
+       "                                          yes                                                          0.0  \n",
+       "Cancer (haematological)                   no                                                           3.3  \n",
+       "                                          yes                                                          0.0  "
       ]
      },
      "metadata": {},
@@ -23955,6 +28724,18 @@
      "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": [
@@ -23971,7 +28752,7 @@
      "data": {
       "text/markdown": [
        "## \n",
-       " ## Cumulative vaccination figures among LD (aged 16-64) population \n",
+       " ## Cumulative vaccination figures among under 60s, not in other eligible groups shown population \n",
        " Please refer to footnotes below table for information."
       ],
       "text/plain": [
@@ -24001,13 +28782,12 @@
        "<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",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>Vaccinated at 05 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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Category</th>\n",
@@ -24016,358 +28796,575 @@
        "      <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>317</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>791</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.8</td>\n",
+       "      <td>14811</td>\n",
+       "      <td>13605.0</td>\n",
+       "      <td>1206.0</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">Sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>154</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.6</td>\n",
+       "      <td>7630</td>\n",
+       "      <td>7014.0</td>\n",
+       "      <td>616.0</td>\n",
+       "      <td>8.8</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>7182</td>\n",
+       "      <td>6594.0</td>\n",
+       "      <td>588.0</td>\n",
+       "      <td>8.9</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",
-       "      <td>56</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>0.0</td>\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",
        "    </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>30-39</th>\n",
+       "      <td>1834</td>\n",
+       "      <td>1687.0</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>8.7</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>40-49</th>\n",
+       "      <td>1862</td>\n",
+       "      <td>1715.0</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>8.6</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",
+       "      <th>50-59</th>\n",
+       "      <td>1918</td>\n",
+       "      <td>1778.0</td>\n",
+       "      <td>140.0</td>\n",
+       "      <td>7.9</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>60-69</th>\n",
+       "      <td>1876</td>\n",
+       "      <td>1715.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>9.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>40-44</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>70-79</th>\n",
+       "      <td>3689</td>\n",
+       "      <td>3367.0</td>\n",
+       "      <td>322.0</td>\n",
+       "      <td>9.6</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>80+</th>\n",
+       "      <td>1862</td>\n",
+       "      <td>1715.0</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>8.6</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",
-       "      <td>0.0</td>\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",
        "    </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>Mixed</th>\n",
+       "      <td>2548</td>\n",
+       "      <td>2345.0</td>\n",
+       "      <td>203.0</td>\n",
+       "      <td>8.7</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>40.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <th>Other</th>\n",
+       "      <td>2527</td>\n",
+       "      <td>2345.0</td>\n",
+       "      <td>182.0</td>\n",
+       "      <td>7.8</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>South Asian</th>\n",
+       "      <td>2562</td>\n",
+       "      <td>2352.0</td>\n",
+       "      <td>210.0</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>70-74</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",
+       "      <th>Unknown</th>\n",
+       "      <td>2212</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>196.0</td>\n",
+       "      <td>9.7</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>White</th>\n",
+       "      <td>2513</td>\n",
+       "      <td>2303.0</td>\n",
+       "      <td>210.0</td>\n",
+       "      <td>9.1</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Bangladeshi or British Bangladeshi</th>\n",
+       "      <td>735</td>\n",
+       "      <td>686.0</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>7.1</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>80-84</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",
+       "      <th>under 30</th>\n",
+       "      <td>10437</td>\n",
+       "      <td>9583.0</td>\n",
+       "      <td>854.0</td>\n",
+       "      <td>8.9</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\">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",
        "    </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",
-       "      <td>0.0</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>126</td>\n",
+       "      <td>119.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>5.9</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\">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",
        "    </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>161</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>9.5</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\">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",
        "    </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>0.0</td>\n",
+       "      <th>yes</th>\n",
+       "      <td>154</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>4.8</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\">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",
        "    </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>147</td>\n",
+       "      <td>133.0</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>10.5</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",
-       "\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 05 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",
+       "                                           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",
        "\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",
+       "                                                                               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",
+       "                                          yes                                                                   133.0   \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",
+       "                                                                               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",
+       "                                           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",
+       "                                          yes                                                          7.0   \n",
+       "Current COPD                              no                                                        1190.0   \n",
+       "                                          yes                                                         14.0   \n",
+       "DMARDs                                    no                                                        1190.0   \n",
+       "                                          yes                                                          7.0   \n",
+       "SSRI (last 12 months)                     no                                                        1197.0   \n",
+       "                                          yes                                                         14.0   \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  "
+       "                                                                               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  "
       ]
      },
      "metadata": {},
@@ -24389,7 +29386,7 @@
     {
      "data": {
       "text/markdown": [
-       "- Population excludes those who are currently shielding."
+       "- SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia."
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -24420,7 +29417,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -24472,34 +29469,39 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>6685</td>\n",
-       "      <td>85.0</td>\n",
+       "      <td>2114</td>\n",
+       "      <td>85.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-79</th>\n",
-       "      <td>7315</td>\n",
-       "      <td>84.7</td>\n",
+       "      <td>3514</td>\n",
+       "      <td>84.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>care home</th>\n",
-       "      <td>1155</td>\n",
-       "      <td>84.2</td>\n",
+       "      <td>1414</td>\n",
+       "      <td>86.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>shielding (aged 16-69)</th>\n",
-       "      <td>427</td>\n",
-       "      <td>85.2</td>\n",
+       "      <td>420</td>\n",
+       "      <td>85.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>3059</td>\n",
-       "      <td>85.4</td>\n",
+       "      <td>2149</td>\n",
+       "      <td>84.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>LD (aged 16-64)</th>\n",
        "      <td>791</td>\n",
        "      <td>84.1</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60-64</th>\n",
+       "      <td>2576</td>\n",
+       "      <td>86.4</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -24507,15 +29509,16 @@
       "text/plain": [
        "                        total population (n)  ethnicity coverage (%)\n",
        "group                                                               \n",
-       "80+                                     6685                    85.0\n",
-       "70-79                                   7315                    84.7\n",
-       "care home                               1155                    84.2\n",
-       "shielding (aged 16-69)                   427                    85.2\n",
-       "65-69                                   3059                    85.4\n",
-       "LD (aged 16-64)                          791                    84.1"
+       "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"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -24529,7 +29532,8 @@
     "                 \\n - For patients with multiple different ethnicities recorded, we use the most common non-missing ethnicity \\\n",
     "                 \\n recorded over the last ~5 years (or latest if tied) with priority to inpatient records, then outpatient and then A&E.\\\n",
     "                 \\n- Patient counts are rounded to the nearest 7\"))\n",
-    "tab[[\"total population (n)\",\"ethnicity coverage (%)\"]].drop(\"under 65s, not in other eligible groups shown\")"
+    "\n",
+    "tab[[\"total population (n)\",\"ethnicity coverage (%)\"]].drop(\"vaccinated under 60s, not in other eligible groups shown\")"
    ]
   }
  ],
diff --git a/notebooks/population_characteristics.ipynb b/notebooks/population_characteristics.ipynb
index dc4e883..5426065 100644
--- a/notebooks/population_characteristics.ipynb
+++ b/notebooks/population_characteristics.ipynb
@@ -160,33 +160,39 @@
     "# population subgroups - in a dict to indicate which field to filter on\n",
     "\n",
     "\n",
-    "population_subgroups = {\"80+\":\"community_ageband\",\n",
-    "        \"70-79\":\"community_ageband\", \n",
-    "        \"care home\":\"community_ageband\", \n",
-    "        \"shielding (aged 16-69)\":\"shielded\", \n",
-    "        \"65-69\": \"community_ageband\",  \n",
-    "        \"LD (aged 16-64)\": \"LD_group\",  \n",
-    "        \"under 65s, not in other eligible groups shown\":\"other\" \n",
-    "        # NB the \"other\" group must contain phrase \"not in other eligible groups\"\n",
+    "population_subgroups = {\"80+\":1,\n",
+    "        \"70-79\":2, \n",
+    "        \"care home\":3, \n",
+    "        \"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",
+    "        # NB the key for the final group (0) must contain phrase \"not in other eligible groups\"\n",
     "        }\n",
     "\n",
     "groups = population_subgroups.keys()\n",
     "\n",
+    "\n",
+    "#  list demographic/clinical factors to include for given group\n",
+    "DEFAULT = [\"sex\",\"ageband_5yr\",\"ethnicity_6_groups\",\"ethnicity_16_groups\", \"imd_categories\", \n",
+    "                              \"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",
+    "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",
+    "other = [\"sex\",\"ageband\", \"ethnicity_6_groups\", \"ethnicity_16_groups\",\"imd_categories\",\n",
+    "                              \"bmi\",\"chronic_cardiac_disease\", \"current_copd\", \"dmards\",\"ssri\"]\n",
+    "\n",
     "# dictionary mapping population subgroups to a list of demographic/clinical factors to include for that group\n",
-    "features_dict = {\"other\":    [\"sex\",\"ageband\", \"ethnicity_6_groups\", \"ethnicity_16_groups\",\"imd_categories\",\n",
-    "                              \"bmi\",\"chronic_cardiac_disease\", \"current_copd\", \"dmards\",\"ssri\"],\n",
+    "features_dict = {0:    other, ## patients not assigned to a priority group\n",
     "                 \"care home\": [\"sex\", \"ageband_5yr\", \"ethnicity_6_groups\", \"dementia\"],\n",
-    "                 \"shielding (aged 16-69)\": [\"newly_shielded_since_feb_15\",\"sex\", \"ageband\", \"ethnicity_6_groups\", \"imd_categories\",\n",
+    "                 \"shielding (aged 16-69)\": [\"newly_shielded_since_feb_15\", \"sex\", \"ageband\", \"ethnicity_6_groups\", \"imd_categories\",\n",
     "                                           \"LD\"],\n",
-    "                 \"65-69\":    [\"sex\",\"ethnicity_6_groups\",\"ethnicity_16_groups\", \"imd_categories\", \n",
-    "                              \"bmi\", \"chronic_cardiac_disease\", \"current_copd\", \"dmards\", \"dementia\",\n",
-    "                              \"psychosis_schiz_bipolar\",\"LD\",\"ssri\",\n",
-    "                              \"chemo_or_radio\", \"lung_cancer\", \"cancer_excl_lung_and_haem\", \"haematological_cancer\"],\n",
+    "                 \"65-69\":    o65,\n",
+    "                 \"60-64\":    o60,\n",
     "                 \"LD (aged 16-64)\":  [\"sex\", \"ageband_5yr\", \"ethnicity_6_groups\"],\n",
-    "                 \"DEFAULT\":   [\"sex\",\"ageband_5yr\",\"ethnicity_6_groups\",\"ethnicity_16_groups\", \"imd_categories\", \n",
-    "                              \"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",
+    "                 \"DEFAULT\":   DEFAULT # other age groups\n",
     "                }\n"
    ]
   },
@@ -222,7 +228,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -319,7 +325,7 @@
     {
      "data": {
       "text/markdown": [
-       "**80+** population vaccinated: 2,667 (39.9% of 6,685)"
+       "**80+** population vaccinated: 882 (41.7% of 2,114)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -331,7 +337,7 @@
     {
      "data": {
       "text/markdown": [
-       "**70-79** population vaccinated: 2,891 (39.5% of 7,315)"
+       "**70-79** population vaccinated: 1,421 (40.5% of 3,514)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -343,7 +349,7 @@
     {
      "data": {
       "text/markdown": [
-       "**care home** population vaccinated: 490 (42.3% of 1,155)"
+       "**care home** population vaccinated: 532 (37.5% of 1,414)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -355,7 +361,7 @@
     {
      "data": {
       "text/markdown": [
-       "**shielding (aged 16-69)** population vaccinated: 161 (38.2% of 427)"
+       "**shielding (aged 16-69)** population vaccinated: 161 (38.6% of 420)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -367,7 +373,7 @@
     {
      "data": {
       "text/markdown": [
-       "**65-69** population vaccinated: 1,260 (41.3% of 3,059)"
+       "**65-69** population vaccinated: 868 (40.4% of 2,149)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -391,7 +397,19 @@
     {
      "data": {
       "text/markdown": [
-       "**under 65s, not in other eligible groups shown** population vaccinated: 12,327"
+       "**60-64** population vaccinated: 1,008 (39.2% of 2,576)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "**under 60s, not in other eligible groups shown** population vaccinated: 14,812"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -551,685 +569,685 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>2670</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6685</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>1372</td>\n",
-       "      <td>39.8</td>\n",
-       "      <td>3444</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\n",
+       "      <td>462</td>\n",
+       "      <td>41.8</td>\n",
+       "      <td>1106</td>\n",
+       "      <td>37.3</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>18-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>1295</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>3241</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>19-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
-       "      <td>147</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>420</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>1.7</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>14-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0-15</th>\n",
-       "      <td>147</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>392</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>12-May</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>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>147</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>406</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>23-Jun</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>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-34</th>\n",
-       "      <td>168</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>427</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>4.9</td>\n",
-       "      <td>16-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35-39</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>20-Jun</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>07-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</th>\n",
-       "      <td>175</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>420</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>11-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
-       "      <td>175</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>434</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>6.4</td>\n",
-       "      <td>28-Apr</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>07-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</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>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>14-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>175</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>434</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>21-Jun</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>60-64</th>\n",
-       "      <td>168</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>406</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>10-Jun</td>\n",
+       "      <td>49</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>112</td>\n",
+       "      <td>43.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>161</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>406</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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>70-74</th>\n",
-       "      <td>161</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>07-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
-       "      <td>189</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>434</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>14-Jun</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>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>154</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>427</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>27-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
-       "      <td>175</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>385</td>\n",
-       "      <td>40</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>30-Apr</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90+</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>441</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>16-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>483</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>1120</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>01-Jun</td>\n",
+       "      <td>154</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>371</td>\n",
+       "      <td>39.6</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>441</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>1106</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>22-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>469</td>\n",
+       "      <td>161</td>\n",
+       "      <td>44.2</td>\n",
+       "      <td>364</td>\n",
        "      <td>40.4</td>\n",
-       "      <td>1162</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>25-Jun</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>28-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>434</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>1148</td>\n",
-       "      <td>34.1</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>11-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>392</td>\n",
-       "      <td>39.2</td>\n",
-       "      <td>1001</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>14-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>448</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>1148</td>\n",
+       "      <td>140</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>350</td>\n",
        "      <td>36</td>\n",
-       "      <td>3</td>\n",
-       "      <td>02-Jul</td>\n",
+       "      <td>4</td>\n",
+       "      <td>31-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>147</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>364</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>1.9</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>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>140</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>371</td>\n",
-       "      <td>34</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>11-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>147</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>357</td>\n",
-       "      <td>35.3</td>\n",
-       "      <td>5.9</td>\n",
-       "      <td>01-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>161</td>\n",
-       "      <td>46.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>40</td>\n",
-       "      <td>6</td>\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</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\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",
+       "      <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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>112</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>329</td>\n",
-       "      <td>31.9</td>\n",
-       "      <td>2.1</td>\n",
-       "      <td>unknown</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
+       "      <td>56</td>\n",
+       "      <td>42.1</td>\n",
        "      <td>133</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>364</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>36.8</td>\n",
+       "      <td>5.3</td>\n",
+       "      <td>07-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>140</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>38</td>\n",
-       "      <td>2</td>\n",
-       "      <td>unknown</td>\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>140</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>378</td>\n",
-       "      <td>35.2</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>unknown</td>\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>154</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>392</td>\n",
-       "      <td>35.7</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>11-Jun</td>\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>133</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>343</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>6.1</td>\n",
-       "      <td>02-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>154</td>\n",
-       "      <td>44.0</td>\n",
-       "      <td>350</td>\n",
-       "      <td>40</td>\n",
-       "      <td>4</td>\n",
-       "      <td>24-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>406</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>1022</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>16-Jun</td>\n",
+       "      <td>133</td>\n",
+       "      <td>42.2</td>\n",
+       "      <td>315</td>\n",
+       "      <td>40</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>04-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>147</td>\n",
+       "      <td>49</td>\n",
        "      <td>43.8</td>\n",
-       "      <td>336</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>White + Black African</th>\n",
+       "      <td>42</td>\n",
+       "      <td>35.3</td>\n",
        "      <td>119</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>329</td>\n",
-       "      <td>31.9</td>\n",
-       "      <td>4.3</td>\n",
-       "      <td>31-May</td>\n",
+       "      <td>29.4</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>08-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>154</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>364</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1.9</td>\n",
-       "      <td>unknown</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>01-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>511</td>\n",
-       "      <td>40.8</td>\n",
-       "      <td>1253</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>20-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>546</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>1295</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>01-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>518</td>\n",
-       "      <td>41.6</td>\n",
-       "      <td>1246</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>12-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>469</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>1281</td>\n",
-       "      <td>32.8</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>11-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>518</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>2.7</td>\n",
-       "      <td>12-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>112</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>322</td>\n",
-       "      <td>30.4</td>\n",
-       "      <td>4.4</td>\n",
-       "      <td>31-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 rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>763</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>1988</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>2.8</td>\n",
-       "      <td>12-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>1904</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>4697</td>\n",
+       "      <td>609</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>1484</td>\n",
        "      <td>36.8</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>06-Jun</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>25-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>2632</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6601</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </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",
-       "    </tr>\n",
-       "    <tr>\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\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</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\">dialysis</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>14</td>\n",
+       "      <td>50.0</td>\n",
        "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>11.1</td>\n",
-       "      <td>02-Apr</td>\n",
+       "      <td>50</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>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </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>7</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>50</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>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>21</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>30</td>\n",
+       "      <td>7</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>14</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>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>16-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>2604</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6517</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
+       "      <td>7</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>11.1</td>\n",
-       "      <td>02-Apr</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\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>2646</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>6615</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>16-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">lung_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6622</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>13-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>35</td>\n",
-       "      <td>55.6</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>11.2</td>\n",
-       "      <td>26-Mar</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\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </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>7</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>21</td>\n",
        "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>16-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>2639</td>\n",
-       "      <td>39.9</td>\n",
-       "      <td>6608</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </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>14</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",
@@ -1240,387 +1258,387 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                    2670   \n",
-       "sex                       F                                          1372   \n",
-       "                          M                                          1295   \n",
-       "ageband_5yr               0                                           147   \n",
-       "                          0-15                                        147   \n",
-       "                          16-29                                       147   \n",
-       "                          30-34                                       168   \n",
-       "                          35-39                                       189   \n",
-       "                          40-44                                       175   \n",
-       "                          45-49                                       175   \n",
-       "                          50-54                                       161   \n",
-       "                          55-59                                       175   \n",
-       "                          60-64                                       168   \n",
-       "                          65-69                                       161   \n",
-       "                          70-74                                       161   \n",
-       "                          75-79                                       189   \n",
-       "                          80-84                                       154   \n",
-       "                          85-89                                       175   \n",
-       "                          90+                                         189   \n",
-       "ethnicity_6_groups        Black                                       483   \n",
-       "                          Mixed                                       441   \n",
-       "                          Other                                       469   \n",
-       "                          South Asian                                 434   \n",
-       "                          Unknown                                     392   \n",
-       "                          White                                       448   \n",
-       "ethnicity_16_groups        African                                    147   \n",
-       "                           Bangladeshi or British Bangladeshi         140   \n",
-       "                           Caribbean                                  147   \n",
-       "                           Chinese                                    161   \n",
-       "                           Other                                      140   \n",
-       "                           Other Asian                                140   \n",
-       "                          British or Mixed British                    112   \n",
-       "                          Indian or British Indian                    133   \n",
-       "                          Irish                                       140   \n",
-       "                          Other Black                                 140   \n",
-       "                          Other White                                 154   \n",
-       "                          Other mixed                                 133   \n",
-       "                          Pakistani or British Pakistani              154   \n",
-       "                          Unknown                                     406   \n",
-       "                          White + Asian                               147   \n",
-       "                          White + Black African                       119   \n",
-       "                          White + Black Caribbean                     154   \n",
-       "imd_categories            1 Most deprived                             511   \n",
-       "                          2                                           546   \n",
-       "                          3                                           518   \n",
-       "                          4                                           469   \n",
-       "                          5 Least deprived                            518   \n",
-       "                          Unknown                                     112   \n",
-       "bmi                       30+                                         763   \n",
-       "                          under 30                                   1904   \n",
-       "chronic_cardiac_disease   no                                         2632   \n",
-       "                          yes                                          35   \n",
-       "current_copd              no                                         2639   \n",
-       "                          yes                                          28   \n",
-       "dialysis                  no                                         2646   \n",
-       "                          yes                                          28   \n",
-       "dmards                    no                                         2646   \n",
-       "                          yes                                          21   \n",
-       "dementia                  no                                         2646   \n",
+       "overall                   overall                                     881   \n",
+       "sex                       F                                           462   \n",
+       "                          M                                           420   \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",
+       "                          50-54                                        56   \n",
+       "                          55-59                                        42   \n",
+       "                          60-64                                        49   \n",
+       "                          65-69                                        56   \n",
+       "                          70-74                                        56   \n",
+       "                          75-79                                        56   \n",
+       "                          80-84                                        63   \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",
+       "imd_categories            1 Most deprived                             168   \n",
+       "                          2                                           161   \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",
+       "                          yes                                           7   \n",
+       "psychosis_schiz_bipolar   no                                          875   \n",
+       "                          yes                                           7   \n",
+       "LD                        no                                          861   \n",
        "                          yes                                          21   \n",
-       "psychosis_schiz_bipolar   no                                         2639   \n",
-       "                          yes                                          28   \n",
-       "LD                        no                                         2604   \n",
-       "                          yes                                          63   \n",
-       "ssri                      no                                         2646   \n",
-       "                          yes                                          28   \n",
-       "chemo_or_radio            no                                         2646   \n",
-       "                          yes                                          28   \n",
-       "lung_cancer               no                                         2639   \n",
-       "                          yes                                          35   \n",
-       "cancer_excl_lung_and_haem no                                         2639   \n",
-       "                          yes                                          35   \n",
-       "haematological_cancer     no                                         2639   \n",
-       "                          yes                                          35   \n",
+       "ssri                      no                                          875   \n",
+       "                          yes                                           7   \n",
+       "chemo_or_radio            no                                          875   \n",
+       "                          yes                                           7   \n",
+       "lung_cancer               no                                          875   \n",
+       "                          yes                                           0   \n",
+       "cancer_excl_lung_and_haem no                                          875   \n",
+       "                          yes                                           7   \n",
+       "haematological_cancer     no                                          868   \n",
+       "                          yes                                          14   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 39.9   6685   \n",
-       "sex                       F                                       39.8   3444   \n",
-       "                          M                                       40.0   3241   \n",
-       "ageband_5yr               0                                       35.0    420   \n",
-       "                          0-15                                    37.5    392   \n",
-       "                          16-29                                   36.2    406   \n",
-       "                          30-34                                   39.3    427   \n",
-       "                          35-39                                   42.2    448   \n",
-       "                          40-44                                   41.7    420   \n",
-       "                          45-49                                   40.3    434   \n",
-       "                          50-54                                   39.0    413   \n",
-       "                          55-59                                   40.3    434   \n",
-       "                          60-64                                   41.4    406   \n",
-       "                          65-69                                   39.7    406   \n",
-       "                          70-74                                   41.1    392   \n",
-       "                          75-79                                   43.5    434   \n",
-       "                          80-84                                   36.1    427   \n",
-       "                          85-89                                   45.5    385   \n",
-       "                          90+                                     42.9    441   \n",
-       "ethnicity_6_groups        Black                                   43.1   1120   \n",
-       "                          Mixed                                   39.9   1106   \n",
-       "                          Other                                   40.4   1162   \n",
-       "                          South Asian                             37.8   1148   \n",
-       "                          Unknown                                 39.2   1001   \n",
-       "                          White                                   39.0   1148   \n",
-       "ethnicity_16_groups        African                                40.4    364   \n",
-       "                           Bangladeshi or British Bangladeshi     37.7    371   \n",
-       "                           Caribbean                              41.2    357   \n",
-       "                           Chinese                                46.0    350   \n",
-       "                           Other                                  41.7    336   \n",
-       "                           Other Asian                            39.2    357   \n",
-       "                          British or Mixed British                34.0    329   \n",
-       "                          Indian or British Indian                36.5    364   \n",
-       "                          Irish                                   40.0    350   \n",
-       "                          Other Black                             37.0    378   \n",
-       "                          Other White                             39.3    392   \n",
-       "                          Other mixed                             38.8    343   \n",
-       "                          Pakistani or British Pakistani          44.0    350   \n",
-       "                          Unknown                                 39.7   1022   \n",
-       "                          White + Asian                           43.8    336   \n",
-       "                          White + Black African                   36.2    329   \n",
-       "                          White + Black Caribbean                 42.3    364   \n",
-       "imd_categories            1 Most deprived                         40.8   1253   \n",
-       "                          2                                       42.2   1295   \n",
-       "                          3                                       41.6   1246   \n",
-       "                          4                                       36.6   1281   \n",
-       "                          5 Least deprived                        40.2   1288   \n",
-       "                          Unknown                                 34.8    322   \n",
-       "bmi                       30+                                     38.4   1988   \n",
-       "                          under 30                                40.5   4697   \n",
-       "chronic_cardiac_disease   no                                      39.9   6601   \n",
-       "                          yes                                     45.5     77   \n",
-       "current_copd              no                                      39.9   6608   \n",
-       "                          yes                                     36.4     77   \n",
-       "dialysis                  no                                      40.0   6615   \n",
-       "                          yes                                     44.4     63   \n",
-       "dmards                    no                                      40.0   6615   \n",
-       "                          yes                                     33.3     63   \n",
-       "dementia                  no                                      40.0   6608   \n",
-       "                          yes                                     30.0     70   \n",
-       "psychosis_schiz_bipolar   no                                      39.9   6615   \n",
-       "                          yes                                     40.0     70   \n",
-       "LD                        no                                      40.0   6517   \n",
-       "                          yes                                     39.1    161   \n",
-       "ssri                      no                                      40.0   6615   \n",
-       "                          yes                                     44.4     63   \n",
-       "chemo_or_radio            no                                      40.0   6615   \n",
-       "                          yes                                     44.4     63   \n",
-       "lung_cancer               no                                      39.9   6622   \n",
-       "                          yes                                     55.6     63   \n",
-       "cancer_excl_lung_and_haem no                                      39.9   6608   \n",
-       "                          yes                                     45.5     77   \n",
-       "haematological_cancer     no                                      39.9   6608   \n",
-       "                          yes                                     45.5     77   \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",
+       "                          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",
+       "                          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",
+       "                          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",
+       "                          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",
+       "                          yes                                      0.0     21   \n",
+       "cancer_excl_lung_and_haem no                                      41.8   2093   \n",
+       "                          yes                                     33.3     21   \n",
+       "haematological_cancer     no                                      41.6   2086   \n",
+       "                          yes                                     66.7     21   \n",
        "\n",
        "                                                              vaccinated 7d previous (percent)  \\\n",
        "category                  group                                                                  \n",
-       "overall                   overall                                                         36.4   \n",
-       "sex                       F                                                               36.2   \n",
-       "                          M                                                               36.7   \n",
-       "ageband_5yr               0                                                               33.3   \n",
-       "                          0-15                                                            32.1   \n",
-       "                          16-29                                                           32.8   \n",
-       "                          30-34                                                           34.4   \n",
-       "                          35-39                                                           39.1   \n",
-       "                          40-44                                                           36.7   \n",
-       "                          45-49                                                           33.9   \n",
-       "                          50-54                                                           37.3   \n",
-       "                          55-59                                                           37.1   \n",
-       "                          60-64                                                           37.9   \n",
-       "                          65-69                                                           36.2   \n",
-       "                          70-74                                                           35.7   \n",
-       "                          75-79                                                           40.3   \n",
-       "                          80-84                                                           32.8   \n",
-       "                          85-89                                                             40   \n",
-       "                          90+                                                             39.7   \n",
-       "ethnicity_6_groups        Black                                                           39.4   \n",
-       "                          Mixed                                                           36.7   \n",
-       "                          Other                                                           37.3   \n",
-       "                          South Asian                                                     34.1   \n",
-       "                          Unknown                                                         35.7   \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",
+       "                          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                                                        38.5   \n",
-       "                           Bangladeshi or British Bangladeshi                               34   \n",
-       "                           Caribbean                                                      35.3   \n",
-       "                           Chinese                                                          40   \n",
-       "                           Other                                                          37.5   \n",
-       "                           Other Asian                                                    37.3   \n",
-       "                          British or Mixed British                                        31.9   \n",
-       "                          Indian or British Indian                                        32.7   \n",
-       "                          Irish                                                             38   \n",
-       "                          Other Black                                                     35.2   \n",
-       "                          Other White                                                     35.7   \n",
-       "                          Other mixed                                                     32.7   \n",
-       "                          Pakistani or British Pakistani                                    40   \n",
-       "                          Unknown                                                         36.3   \n",
+       "ethnicity_16_groups        African                                                          40   \n",
+       "                           Bangladeshi or British Bangladeshi                             38.9   \n",
+       "                           Caribbean                                                      43.8   \n",
+       "                           Chinese                                                        37.5   \n",
+       "                           Other                                                          53.3   \n",
+       "                           Other Asian                                                    43.8   \n",
+       "                          British or Mixed British                                        33.3   \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",
        "                          White + Asian                                                   37.5   \n",
-       "                          White + Black African                                           31.9   \n",
-       "                          White + Black Caribbean                                         40.4   \n",
-       "imd_categories            1 Most deprived                                                 36.3   \n",
-       "                          2                                                               38.4   \n",
-       "                          3                                                               38.2   \n",
-       "                          4                                                               32.8   \n",
-       "                          5 Least deprived                                                37.5   \n",
-       "                          Unknown                                                         30.4   \n",
-       "bmi                       30+                                                             35.6   \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                                                              36.4   \n",
-       "                          yes                                                             45.5   \n",
-       "current_copd              no                                                              36.4   \n",
-       "                          yes                                                             36.4   \n",
-       "dialysis                  no                                                              36.4   \n",
+       "chronic_cardiac_disease   no                                                              37.8   \n",
+       "                          yes                                                                0   \n",
+       "current_copd              no                                                              37.5   \n",
        "                          yes                                                             33.3   \n",
-       "dmards                    no                                                              36.5   \n",
-       "                          yes                                                             33.3   \n",
-       "dementia                  no                                                              36.5   \n",
-       "                          yes                                                               30   \n",
-       "psychosis_schiz_bipolar   no                                                              36.4   \n",
-       "                          yes                                                               40   \n",
-       "LD                        no                                                              36.4   \n",
-       "                          yes                                                             34.8   \n",
-       "ssri                      no                                                              36.5   \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",
+       "                          yes                                                                0   \n",
+       "LD                        no                                                              37.6   \n",
+       "                          yes                                                             28.6   \n",
+       "ssri                      no                                                              37.5   \n",
        "                          yes                                                             33.3   \n",
-       "chemo_or_radio            no                                                              36.4   \n",
-       "                          yes                                                             44.4   \n",
-       "lung_cancer               no                                                              36.4   \n",
-       "                          yes                                                             44.4   \n",
-       "cancer_excl_lung_and_haem no                                                              36.3   \n",
-       "                          yes                                                             45.5   \n",
-       "haematological_cancer     no                                                              36.3   \n",
-       "                          yes                                                             45.5   \n",
+       "chemo_or_radio            no                                                              37.8   \n",
+       "                          yes                                                                0   \n",
+       "lung_cancer               no                                                              37.8   \n",
+       "                          yes                                                                0   \n",
+       "cancer_excl_lung_and_haem no                                                              37.8   \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                                                       3.5   \n",
-       "sex                       F                                                             3.6   \n",
-       "                          M                                                             3.3   \n",
-       "ageband_5yr               0                                                             1.7   \n",
-       "                          0-15                                                          5.4   \n",
-       "                          16-29                                                         3.4   \n",
-       "                          30-34                                                         4.9   \n",
-       "                          35-39                                                         3.1   \n",
-       "                          40-44                                                           5   \n",
-       "                          45-49                                                         6.4   \n",
-       "                          50-54                                                         1.7   \n",
-       "                          55-59                                                         3.2   \n",
-       "                          60-64                                                         3.5   \n",
-       "                          65-69                                                         3.5   \n",
-       "                          70-74                                                         5.4   \n",
-       "                          75-79                                                         3.2   \n",
-       "                          80-84                                                         3.3   \n",
-       "                          85-89                                                         5.5   \n",
-       "                          90+                                                           3.2   \n",
-       "ethnicity_6_groups        Black                                                         3.7   \n",
-       "                          Mixed                                                         3.2   \n",
-       "                          Other                                                         3.1   \n",
-       "                          South Asian                                                   3.7   \n",
-       "                          Unknown                                                       3.5   \n",
-       "                          White                                                           3   \n",
-       "ethnicity_16_groups        African                                                      1.9   \n",
-       "                           Bangladeshi or British Bangladeshi                           3.7   \n",
-       "                           Caribbean                                                    5.9   \n",
-       "                           Chinese                                                        6   \n",
-       "                           Other                                                        4.2   \n",
-       "                           Other Asian                                                  1.9   \n",
-       "                          British or Mixed British                                      2.1   \n",
-       "                          Indian or British Indian                                      3.8   \n",
-       "                          Irish                                                           2   \n",
-       "                          Other Black                                                   1.8   \n",
-       "                          Other White                                                   3.6   \n",
-       "                          Other mixed                                                   6.1   \n",
-       "                          Pakistani or British Pakistani                                  4   \n",
-       "                          Unknown                                                       3.4   \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",
+       "                          60-64                                                           0   \n",
+       "                          65-69                                                           5   \n",
+       "                          70-74                                                         4.8   \n",
+       "                          75-79                                                         5.5   \n",
+       "                          80-84                                                           0   \n",
+       "                          85-89                                                           0   \n",
+       "                          90+                                                             0   \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",
+       "                          Unknown                                                       2.2   \n",
        "                          White + Asian                                                 6.3   \n",
-       "                          White + Black African                                         4.3   \n",
-       "                          White + Black Caribbean                                       1.9   \n",
-       "imd_categories            1 Most deprived                                               4.5   \n",
-       "                          2                                                             3.8   \n",
-       "                          3                                                             3.4   \n",
-       "                          4                                                             3.8   \n",
-       "                          5 Least deprived                                              2.7   \n",
-       "                          Unknown                                                       4.4   \n",
-       "bmi                       30+                                                           2.8   \n",
-       "                          under 30                                                      3.7   \n",
-       "chronic_cardiac_disease   no                                                            3.5   \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",
+       "                          Unknown                                                         0   \n",
+       "bmi                       30+                                                           3.3   \n",
+       "                          under 30                                                      4.2   \n",
+       "chronic_cardiac_disease   no                                                              4   \n",
        "                          yes                                                             0   \n",
-       "current_copd              no                                                            3.5   \n",
+       "current_copd              no                                                            4.3   \n",
        "                          yes                                                             0   \n",
-       "dialysis                  no                                                            3.6   \n",
-       "                          yes                                                          11.1   \n",
-       "dmards                    no                                                            3.5   \n",
+       "dialysis                  no                                                              4   \n",
        "                          yes                                                             0   \n",
-       "dementia                  no                                                            3.5   \n",
+       "dmards                    no                                                            4.3   \n",
        "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                            3.5   \n",
+       "dementia                  no                                                            4.3   \n",
        "                          yes                                                             0   \n",
-       "LD                        no                                                            3.6   \n",
-       "                          yes                                                           4.3   \n",
-       "ssri                      no                                                            3.5   \n",
-       "                          yes                                                          11.1   \n",
-       "chemo_or_radio            no                                                            3.6   \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",
        "                          yes                                                             0   \n",
-       "lung_cancer               no                                                            3.5   \n",
-       "                          yes                                                          11.2   \n",
-       "cancer_excl_lung_and_haem no                                                            3.6   \n",
+       "chemo_or_radio            no                                                              4   \n",
+       "                          yes                                                          33.3   \n",
+       "lung_cancer               no                                                              4   \n",
        "                          yes                                                             0   \n",
-       "haematological_cancer     no                                                            3.6   \n",
+       "cancer_excl_lung_and_haem no                                                              4   \n",
+       "                          yes                                                          33.3   \n",
+       "haematological_cancer     no                                                              4   \n",
        "                          yes                                                             0   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  13-Jun  \n",
-       "sex                       F                                                        10-Jun  \n",
-       "                          M                                                        19-Jun  \n",
-       "ageband_5yr               0                                                       unknown  \n",
-       "                          0-15                                                     12-May  \n",
-       "                          16-29                                                    23-Jun  \n",
-       "                          30-34                                                    16-May  \n",
-       "                          35-39                                                    20-Jun  \n",
-       "                          40-44                                                    11-May  \n",
-       "                          45-49                                                    28-Apr  \n",
-       "                          50-54                                                   unknown  \n",
-       "                          55-59                                                    21-Jun  \n",
-       "                          60-64                                                    10-Jun  \n",
-       "                          65-69                                                    13-Jun  \n",
-       "                          70-74                                                    07-May  \n",
-       "                          75-79                                                    14-Jun  \n",
-       "                          80-84                                                    27-Jun  \n",
-       "                          85-89                                                    30-Apr  \n",
-       "                          90+                                                      16-Jun  \n",
-       "ethnicity_6_groups        Black                                                    01-Jun  \n",
-       "                          Mixed                                                    22-Jun  \n",
-       "                          Other                                                    25-Jun  \n",
-       "                          South Asian                                              11-Jun  \n",
-       "                          Unknown                                                  14-Jun  \n",
-       "                          White                                                    02-Jul  \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",
+       "                          60-64                                                   unknown  \n",
+       "                          65-69                                                    14-May  \n",
+       "                          70-74                                                    19-May  \n",
+       "                          75-79                                                    02-May  \n",
+       "                          80-84                                                   unknown  \n",
+       "                          85-89                                                   unknown  \n",
+       "                          90+                                                     unknown  \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",
-       "                           Bangladeshi or British Bangladeshi                      11-Jun  \n",
-       "                           Caribbean                                               01-May  \n",
+       "                           Bangladeshi or British Bangladeshi                     unknown  \n",
+       "                           Caribbean                                               19-Apr  \n",
        "                           Chinese                                                 25-Apr  \n",
-       "                           Other                                                   24-May  \n",
-       "                           Other Asian                                            unknown  \n",
-       "                          British or Mixed British                                unknown  \n",
-       "                          Indian or British Indian                                 11-Jun  \n",
-       "                          Irish                                                   unknown  \n",
-       "                          Other Black                                             unknown  \n",
-       "                          Other White                                              11-Jun  \n",
-       "                          Other mixed                                              02-May  \n",
-       "                          Pakistani or British Pakistani                           24-May  \n",
-       "                          Unknown                                                  16-Jun  \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                                    31-May  \n",
-       "                          White + Black Caribbean                                 unknown  \n",
-       "imd_categories            1 Most deprived                                          20-May  \n",
-       "                          2                                                        01-Jun  \n",
-       "                          3                                                        12-Jun  \n",
-       "                          4                                                        11-Jun  \n",
-       "                          5 Least deprived                                         12-Jul  \n",
-       "                          Unknown                                                  31-May  \n",
-       "bmi                       30+                                                      12-Jul  \n",
-       "                          under 30                                                 06-Jun  \n",
-       "chronic_cardiac_disease   no                                                       13-Jun  \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",
+       "                          Unknown                                                 unknown  \n",
+       "bmi                       30+                                                      12-Jun  \n",
+       "                          under 30                                                 25-May  \n",
+       "chronic_cardiac_disease   no                                                       28-May  \n",
        "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       13-Jun  \n",
+       "current_copd              no                                                       22-May  \n",
        "                          yes                                                     unknown  \n",
-       "dialysis                  no                                                       10-Jun  \n",
-       "                          yes                                                      02-Apr  \n",
-       "dmards                    no                                                       13-Jun  \n",
+       "dialysis                  no                                                       28-May  \n",
        "                          yes                                                     unknown  \n",
-       "dementia                  no                                                       13-Jun  \n",
+       "dmards                    no                                                       22-May  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       13-Jun  \n",
+       "dementia                  no                                                       22-May  \n",
        "                          yes                                                     unknown  \n",
-       "LD                        no                                                       10-Jun  \n",
-       "                          yes                                                      26-May  \n",
-       "ssri                      no                                                       13-Jun  \n",
-       "                          yes                                                      02-Apr  \n",
-       "chemo_or_radio            no                                                       10-Jun  \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",
        "                          yes                                                     unknown  \n",
-       "lung_cancer               no                                                       13-Jun  \n",
-       "                          yes                                                      26-Mar  \n",
-       "cancer_excl_lung_and_haem no                                                       10-Jun  \n",
+       "chemo_or_radio            no                                                       28-May  \n",
+       "                          yes                                                      16-Mar  \n",
+       "lung_cancer               no                                                       28-May  \n",
        "                          yes                                                     unknown  \n",
-       "haematological_cancer     no                                                       10-Jun  \n",
+       "cancer_excl_lung_and_haem no                                                       28-May  \n",
+       "                          yes                                                      16-Mar  \n",
+       "haematological_cancer     no                                                       28-May  \n",
        "                          yes                                                     unknown  "
       ]
      },
@@ -1708,646 +1726,646 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>2893</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7315</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>1498</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>3808</td>\n",
-       "      <td>36</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>1393</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>3514</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>26-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
-       "      <td>182</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>441</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>15-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0-15</th>\n",
-       "      <td>175</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>455</td>\n",
-       "      <td>33.8</td>\n",
-       "      <td>4.7</td>\n",
-       "      <td>20-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>196</td>\n",
-       "      <td>41.8</td>\n",
-       "      <td>469</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>4.5</td>\n",
-       "      <td>18-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-34</th>\n",
-       "      <td>217</td>\n",
-       "      <td>45.6</td>\n",
-       "      <td>476</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>4.4</td>\n",
-       "      <td>14-May</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>24-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35-39</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>4.7</td>\n",
-       "      <td>15-May</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>18-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
-       "      <td>161</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>441</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>30-Jun</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",
+       "      <td>20-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</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",
-       "      <td>09-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</th>\n",
-       "      <td>182</td>\n",
-       "      <td>40.6</td>\n",
-       "      <td>448</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>24-Jun</td>\n",
+       "      <td>91</td>\n",
+       "      <td>44.8</td>\n",
+       "      <td>203</td>\n",
+       "      <td>41.4</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>06-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
-       "      <td>175</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>462</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>30-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>175</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>455</td>\n",
-       "      <td>35.4</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>29-Jun</td>\n",
+       "      <td>91</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>217</td>\n",
+       "      <td>41.9</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-74</th>\n",
-       "      <td>168</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>448</td>\n",
-       "      <td>34.4</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>01-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75-79</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>161</td>\n",
-       "      <td>35.4</td>\n",
-       "      <td>455</td>\n",
-       "      <td>33.8</td>\n",
-       "      <td>1.6</td>\n",
+       "      <td>77</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>210</td>\n",
+       "      <td>36.7</td>\n",
+       "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>85-89</th>\n",
-       "      <td>168</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>462</td>\n",
-       "      <td>31.8</td>\n",
-       "      <td>4.6</td>\n",
-       "      <td>25-May</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>24-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>90+</th>\n",
-       "      <td>161</td>\n",
-       "      <td>37.1</td>\n",
-       "      <td>434</td>\n",
-       "      <td>35.5</td>\n",
-       "      <td>1.6</td>\n",
-       "      <td>unknown</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>24-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>504</td>\n",
-       "      <td>41.4</td>\n",
-       "      <td>1218</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>497</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>1239</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>2.8</td>\n",
-       "      <td>07-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>469</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>1225</td>\n",
-       "      <td>34.9</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>19-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>497</td>\n",
-       "      <td>40.1</td>\n",
-       "      <td>1239</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>15-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>434</td>\n",
-       "      <td>38.8</td>\n",
-       "      <td>1120</td>\n",
-       "      <td>35.6</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>25-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>490</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>1274</td>\n",
-       "      <td>35.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>22-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>154</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>420</td>\n",
-       "      <td>33.3</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>22-Jun</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>133</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>385</td>\n",
-       "      <td>32.7</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>unknown</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Caribbean</th>\n",
-       "      <td>154</td>\n",
+       "      <td>77</td>\n",
        "      <td>40.7</td>\n",
-       "      <td>378</td>\n",
+       "      <td>189</td>\n",
        "      <td>37</td>\n",
        "      <td>3.7</td>\n",
        "      <td>06-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Chinese</th>\n",
-       "      <td>154</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>385</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>5.5</td>\n",
-       "      <td>07-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Other</th>\n",
-       "      <td>147</td>\n",
-       "      <td>37.5</td>\n",
-       "      <td>392</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>3.6</td>\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",
+       "    </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",
        "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>Other Asian</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>133</td>\n",
-       "      <td>35.8</td>\n",
-       "      <td>371</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>15-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>161</td>\n",
-       "      <td>42.6</td>\n",
-       "      <td>378</td>\n",
-       "      <td>40.7</td>\n",
-       "      <td>1.9</td>\n",
-       "      <td>26-Aug</td>\n",
+       "      <td>70</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>168</td>\n",
+       "      <td>41.7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</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>unknown</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>175</td>\n",
-       "      <td>46.3</td>\n",
-       "      <td>378</td>\n",
-       "      <td>42.6</td>\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>26-May</td>\n",
+       "      <td>13-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>154</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>406</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>20-Jun</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",
+       "      <td>22-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>154</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>413</td>\n",
-       "      <td>33.9</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>21-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>10-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>140</td>\n",
-       "      <td>37.7</td>\n",
-       "      <td>371</td>\n",
-       "      <td>34</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>11-Jun</td>\n",
+       "      <td>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>469</td>\n",
-       "      <td>42.7</td>\n",
-       "      <td>1099</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>16-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>154</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>406</td>\n",
-       "      <td>34.5</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>154</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>364</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.8</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</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>unknown</td>\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 rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>560</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>1393</td>\n",
-       "      <td>36.7</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>12-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>532</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>1421</td>\n",
-       "      <td>34</td>\n",
-       "      <td>3.4</td>\n",
-       "      <td>21-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>574</td>\n",
-       "      <td>40.4</td>\n",
-       "      <td>1421</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>511</td>\n",
-       "      <td>37.8</td>\n",
-       "      <td>1351</td>\n",
-       "      <td>34.2</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>14-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>567</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>1365</td>\n",
-       "      <td>39</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>18-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</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>63</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>175</td>\n",
+       "      <td>36</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>868</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>2226</td>\n",
-       "      <td>36.5</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>25-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>2023</td>\n",
-       "      <td>39.7</td>\n",
-       "      <td>5096</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>10-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>7238</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>19-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
+       "      <td>21</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\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>2870</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7259</td>\n",
-       "      <td>36.3</td>\n",
-       "      <td>3.2</td>\n",
-       "      <td>23-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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>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",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dialysis</th>\n",
        "      <th>no</th>\n",
-       "      <td>2856</td>\n",
-       "      <td>39.4</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.1</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>50</td>\n",
+       "      <td>60</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>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\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",
+       "      <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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>25.0</td>\n",
        "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\n",
+       "      <td>25</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>2870</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7259</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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",
-       "      <td>02-Apr</td>\n",
+       "      <td>14</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>20</td>\n",
+       "      <td>20</td>\n",
+       "      <td>22-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">LD</th>\n",
        "      <th>no</th>\n",
-       "      <td>2835</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7175</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>56</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>40</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 rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</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\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>2870</td>\n",
-       "      <td>39.6</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
+       "      <td>1407</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>3479</td>\n",
+       "      <td>37</td>\n",
        "      <td>3.4</td>\n",
-       "      <td>16-Jun</td>\n",
+       "      <td>15-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
+       "      <td>14</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>35</td>\n",
+       "      <td>40</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>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7252</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
+       "      <td>14</td>\n",
        "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
+       "      <td>35</td>\n",
        "      <td>40</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
@@ -2355,40 +2373,40 @@
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
+       "      <td>35</td>\n",
        "      <td>40</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>2863</td>\n",
-       "      <td>39.5</td>\n",
-       "      <td>7245</td>\n",
-       "      <td>36.1</td>\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>16-Jun</td>\n",
+       "      <td>14-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>21</td>\n",
+       "      <td>60.0</td>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>08-Apr</td>\n",
+       "      <td>40</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15-Mar</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -2397,388 +2415,388 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                    2893   \n",
-       "sex                       F                                          1498   \n",
-       "                          M                                          1393   \n",
-       "ageband_5yr               0                                           182   \n",
-       "                          0-15                                        175   \n",
-       "                          16-29                                       196   \n",
-       "                          30-34                                       217   \n",
-       "                          35-39                                       189   \n",
-       "                          40-44                                       203   \n",
-       "                          45-49                                       161   \n",
-       "                          50-54                                       196   \n",
-       "                          55-59                                       182   \n",
-       "                          60-64                                       175   \n",
-       "                          65-69                                       175   \n",
-       "                          70-74                                       168   \n",
-       "                          75-79                                       189   \n",
-       "                          80-84                                       161   \n",
-       "                          85-89                                       168   \n",
-       "                          90+                                         161   \n",
-       "ethnicity_6_groups        Black                                       504   \n",
-       "                          Mixed                                       497   \n",
-       "                          Other                                       469   \n",
-       "                          South Asian                                 497   \n",
-       "                          Unknown                                     434   \n",
-       "                          White                                       490   \n",
-       "ethnicity_16_groups        African                                    154   \n",
-       "                           Bangladeshi or British Bangladeshi         133   \n",
-       "                           Caribbean                                  154   \n",
-       "                           Chinese                                    154   \n",
-       "                           Other                                      147   \n",
-       "                           Other Asian                                175   \n",
-       "                          British or Mixed British                    133   \n",
-       "                          Indian or British Indian                    161   \n",
-       "                          Irish                                       140   \n",
-       "                          Other Black                                 175   \n",
-       "                          Other White                                 154   \n",
-       "                          Other mixed                                 154   \n",
-       "                          Pakistani or British Pakistani              140   \n",
-       "                          Unknown                                     469   \n",
-       "                          White + Asian                               154   \n",
-       "                          White + Black African                       154   \n",
-       "                          White + Black Caribbean                     140   \n",
-       "imd_categories            1 Most deprived                             560   \n",
-       "                          2                                           532   \n",
-       "                          3                                           574   \n",
-       "                          4                                           511   \n",
-       "                          5 Least deprived                            567   \n",
-       "                          Unknown                                     147   \n",
-       "bmi                       30+                                         868   \n",
-       "                          under 30                                   2023   \n",
-       "chronic_cardiac_disease   no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "current_copd              no                                         2870   \n",
+       "overall                   overall                                    1422   \n",
+       "sex                       F                                           714   \n",
+       "                          M                                           707   \n",
+       "ageband_5yr               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_6_groups        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",
+       "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",
-       "dialysis                  no                                         2856   \n",
-       "                          yes                                          35   \n",
-       "dmards                    no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "dementia                  no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "psychosis_schiz_bipolar   no                                         2870   \n",
-       "                          yes                                          28   \n",
-       "LD                        no                                         2835   \n",
-       "                          yes                                          56   \n",
-       "ssri                      no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "chemo_or_radio            no                                         2870   \n",
-       "                          yes                                          28   \n",
-       "lung_cancer               no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "cancer_excl_lung_and_haem no                                         2863   \n",
-       "                          yes                                          28   \n",
-       "haematological_cancer     no                                         2863   \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_schiz_bipolar   no                                         1414   \n",
+       "                          yes                                          14   \n",
+       "LD                        no                                         1393   \n",
        "                          yes                                          35   \n",
+       "ssri                      no                                         1414   \n",
+       "                          yes                                           7   \n",
+       "chemo_or_radio            no                                         1407   \n",
+       "                          yes                                          14   \n",
+       "lung_cancer               no                                         1407   \n",
+       "                          yes                                          14   \n",
+       "cancer_excl_lung_and_haem no                                         1400   \n",
+       "                          yes                                          21   \n",
+       "haematological_cancer     no                                         1407   \n",
+       "                          yes                                          21   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 39.5   7315   \n",
-       "sex                       F                                       39.3   3808   \n",
-       "                          M                                       39.6   3514   \n",
-       "ageband_5yr               0                                       41.3    441   \n",
-       "                          0-15                                    38.5    455   \n",
-       "                          16-29                                   41.8    469   \n",
-       "                          30-34                                   45.6    476   \n",
-       "                          35-39                                   42.2    448   \n",
-       "                          40-44                                   42.6    476   \n",
-       "                          45-49                                   36.5    441   \n",
-       "                          50-54                                   39.4    497   \n",
-       "                          55-59                                   40.6    448   \n",
-       "                          60-64                                   37.9    462   \n",
-       "                          65-69                                   38.5    455   \n",
-       "                          70-74                                   37.5    448   \n",
-       "                          75-79                                   42.2    448   \n",
-       "                          80-84                                   35.4    455   \n",
-       "                          85-89                                   36.4    462   \n",
-       "                          90+                                     37.1    434   \n",
-       "ethnicity_6_groups        Black                                   41.4   1218   \n",
-       "                          Mixed                                   40.1   1239   \n",
-       "                          Other                                   38.3   1225   \n",
-       "                          South Asian                             40.1   1239   \n",
-       "                          Unknown                                 38.8   1120   \n",
-       "                          White                                   38.5   1274   \n",
-       "ethnicity_16_groups        African                                36.7    420   \n",
-       "                           Bangladeshi or British Bangladeshi     34.5    385   \n",
-       "                           Caribbean                              40.7    378   \n",
-       "                           Chinese                                40.0    385   \n",
-       "                           Other                                  37.5    392   \n",
-       "                           Other Asian                            44.6    392   \n",
-       "                          British or Mixed British                35.8    371   \n",
-       "                          Indian or British Indian                42.6    378   \n",
-       "                          Irish                                   36.4    385   \n",
-       "                          Other Black                             46.3    378   \n",
-       "                          Other White                             37.9    406   \n",
-       "                          Other mixed                             37.3    413   \n",
-       "                          Pakistani or British Pakistani          37.7    371   \n",
-       "                          Unknown                                 42.7   1099   \n",
-       "                          White + Asian                           37.9    406   \n",
-       "                          White + Black African                   42.3    364   \n",
-       "                          White + Black Caribbean                 36.4    385   \n",
-       "imd_categories            1 Most deprived                         40.2   1393   \n",
-       "                          2                                       37.4   1421   \n",
-       "                          3                                       40.4   1421   \n",
-       "                          4                                       37.8   1351   \n",
-       "                          5 Least deprived                        41.5   1365   \n",
-       "                          Unknown                                 39.6    371   \n",
-       "bmi                       30+                                     39.0   2226   \n",
-       "                          under 30                                39.7   5096   \n",
-       "chronic_cardiac_disease   no                                      39.6   7238   \n",
-       "                          yes                                     36.4     77   \n",
-       "current_copd              no                                      39.5   7259   \n",
-       "                          yes                                     37.5     56   \n",
-       "dialysis                  no                                      39.4   7245   \n",
-       "                          yes                                     50.0     70   \n",
-       "dmards                    no                                      39.5   7245   \n",
-       "                          yes                                     36.4     77   \n",
-       "dementia                  no                                      39.5   7245   \n",
-       "                          yes                                     40.0     70   \n",
-       "psychosis_schiz_bipolar   no                                      39.5   7259   \n",
-       "                          yes                                     44.4     63   \n",
-       "LD                        no                                      39.5   7175   \n",
-       "                          yes                                     40.0    140   \n",
-       "ssri                      no                                      39.5   7245   \n",
-       "                          yes                                     36.4     77   \n",
-       "chemo_or_radio            no                                      39.6   7245   \n",
-       "                          yes                                     40.0     70   \n",
-       "lung_cancer               no                                      39.5   7252   \n",
-       "                          yes                                     40.0     70   \n",
-       "cancer_excl_lung_and_haem no                                      39.5   7245   \n",
-       "                          yes                                     40.0     70   \n",
-       "haematological_cancer     no                                      39.5   7245   \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",
+       "                          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",
+       "                          yes                                     60.0     35   \n",
+       "dementia                  no                                      40.6   3486   \n",
+       "                          yes                                     25.0     28   \n",
+       "psychosis_schiz_bipolar   no                                      40.6   3479   \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",
+       "                          yes                                     40.0     35   \n",
+       "lung_cancer               no                                      40.4   3479   \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                                                         36.2   \n",
-       "sex                       F                                                                 36   \n",
-       "                          M                                                               36.5   \n",
-       "ageband_5yr               0                                                               36.5   \n",
-       "                          0-15                                                            33.8   \n",
-       "                          16-29                                                           37.3   \n",
-       "                          30-34                                                           41.2   \n",
-       "                          35-39                                                           37.5   \n",
-       "                          40-44                                                           39.7   \n",
-       "                          45-49                                                           33.3   \n",
-       "                          50-54                                                           36.6   \n",
-       "                          55-59                                                           37.5   \n",
-       "                          60-64                                                           34.8   \n",
-       "                          65-69                                                           35.4   \n",
-       "                          70-74                                                           34.4   \n",
-       "                          75-79                                                           39.1   \n",
-       "                          80-84                                                           33.8   \n",
-       "                          85-89                                                           31.8   \n",
-       "                          90+                                                             35.5   \n",
-       "ethnicity_6_groups        Black                                                           37.9   \n",
-       "                          Mixed                                                           37.3   \n",
-       "                          Other                                                           34.9   \n",
-       "                          South Asian                                                     36.7   \n",
-       "                          Unknown                                                         35.6   \n",
-       "                          White                                                           35.2   \n",
-       "ethnicity_16_groups        African                                                        33.3   \n",
-       "                           Bangladeshi or British Bangladeshi                             32.7   \n",
-       "                           Caribbean                                                        37   \n",
-       "                           Chinese                                                        34.5   \n",
-       "                           Other                                                          33.9   \n",
-       "                           Other Asian                                                    41.1   \n",
-       "                          British or Mixed British                                        32.1   \n",
-       "                          Indian or British Indian                                        40.7   \n",
-       "                          Irish                                                           34.5   \n",
-       "                          Other Black                                                     42.6   \n",
-       "                          Other White                                                     34.5   \n",
-       "                          Other mixed                                                     33.9   \n",
-       "                          Pakistani or British Pakistani                                    34   \n",
-       "                          Unknown                                                         39.5   \n",
-       "                          White + Asian                                                   34.5   \n",
-       "                          White + Black African                                           38.5   \n",
-       "                          White + Black Caribbean                                         34.5   \n",
-       "imd_categories            1 Most deprived                                                 36.7   \n",
-       "                          2                                                                 34   \n",
-       "                          3                                                               37.4   \n",
-       "                          4                                                               34.2   \n",
-       "                          5 Least deprived                                                  39   \n",
-       "                          Unknown                                                         35.8   \n",
-       "bmi                       30+                                                             36.5   \n",
-       "                          under 30                                                        36.1   \n",
-       "chronic_cardiac_disease   no                                                              36.3   \n",
-       "                          yes                                                             36.4   \n",
-       "current_copd              no                                                              36.3   \n",
-       "                          yes                                                               25   \n",
-       "dialysis                  no                                                              36.1   \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",
+       "                          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_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",
-       "dmards                    no                                                              36.2   \n",
-       "                          yes                                                             36.4   \n",
-       "dementia                  no                                                              36.2   \n",
+       "current_copd              no                                                              36.9   \n",
+       "                          yes                                                               50   \n",
+       "dialysis                  no                                                              36.9   \n",
+       "                          yes                                                               60   \n",
+       "dmards                    no                                                                37   \n",
        "                          yes                                                               40   \n",
-       "psychosis_schiz_bipolar   no                                                              36.2   \n",
+       "dementia                  no                                                              37.1   \n",
+       "                          yes                                                               25   \n",
+       "psychosis_schiz_bipolar   no                                                              37.2   \n",
+       "                          yes                                                               20   \n",
+       "LD                        no                                                              36.9   \n",
+       "                          yes                                                             45.5   \n",
+       "ssri                      no                                                              37.1   \n",
        "                          yes                                                             33.3   \n",
-       "LD                        no                                                              36.2   \n",
+       "chemo_or_radio            no                                                                37   \n",
        "                          yes                                                               40   \n",
-       "ssri                      no                                                              36.2   \n",
-       "                          yes                                                             36.4   \n",
-       "chemo_or_radio            no                                                              36.2   \n",
-       "                          yes                                                               30   \n",
-       "lung_cancer               no                                                              36.2   \n",
+       "lung_cancer               no                                                                37   \n",
        "                          yes                                                               40   \n",
-       "cancer_excl_lung_and_haem no                                                              36.2   \n",
+       "cancer_excl_lung_and_haem no                                                                37   \n",
+       "                          yes                                                               40   \n",
+       "haematological_cancer     no                                                              37.1   \n",
        "                          yes                                                               40   \n",
-       "haematological_cancer     no                                                              36.1   \n",
-       "                          yes                                                             36.4   \n",
        "\n",
        "                                                              Uptake over last 7d (percent)  \\\n",
        "category                  group                                                               \n",
-       "overall                   overall                                                       3.3   \n",
-       "sex                       F                                                             3.3   \n",
-       "                          M                                                             3.1   \n",
-       "ageband_5yr               0                                                             4.8   \n",
-       "                          0-15                                                          4.7   \n",
-       "                          16-29                                                         4.5   \n",
-       "                          30-34                                                         4.4   \n",
-       "                          35-39                                                         4.7   \n",
-       "                          40-44                                                         2.9   \n",
-       "                          45-49                                                         3.2   \n",
-       "                          50-54                                                         2.8   \n",
-       "                          55-59                                                         3.1   \n",
-       "                          60-64                                                         3.1   \n",
-       "                          65-69                                                         3.1   \n",
-       "                          70-74                                                         3.1   \n",
-       "                          75-79                                                         3.1   \n",
-       "                          80-84                                                         1.6   \n",
-       "                          85-89                                                         4.6   \n",
-       "                          90+                                                           1.6   \n",
-       "ethnicity_6_groups        Black                                                         3.5   \n",
-       "                          Mixed                                                         2.8   \n",
-       "                          Other                                                         3.4   \n",
-       "                          South Asian                                                   3.4   \n",
-       "                          Unknown                                                       3.2   \n",
-       "                          White                                                         3.3   \n",
-       "ethnicity_16_groups        African                                                      3.4   \n",
-       "                           Bangladeshi or British Bangladeshi                           1.8   \n",
-       "                           Caribbean                                                    3.7   \n",
-       "                           Chinese                                                      5.5   \n",
-       "                           Other                                                        3.6   \n",
-       "                           Other Asian                                                  3.5   \n",
-       "                          British or Mixed British                                      3.7   \n",
-       "                          Indian or British Indian                                      1.9   \n",
-       "                          Irish                                                         1.9   \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",
+       "                          65-69                                                           0   \n",
+       "                          70-74                                                         5.8   \n",
+       "                          75-79                                                         3.2   \n",
+       "                          80-84                                                           0   \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",
+       "                          Indian or British Indian                                        0   \n",
+       "                          Irish                                                           4   \n",
        "                          Other Black                                                   3.7   \n",
-       "                          Other White                                                   3.4   \n",
-       "                          Other mixed                                                   3.4   \n",
-       "                          Pakistani or British Pakistani                                3.7   \n",
-       "                          Unknown                                                       3.2   \n",
-       "                          White + Asian                                                 3.4   \n",
-       "                          White + Black African                                         3.8   \n",
-       "                          White + Black Caribbean                                       1.9   \n",
-       "imd_categories            1 Most deprived                                               3.5   \n",
-       "                          2                                                             3.4   \n",
-       "                          3                                                               3   \n",
-       "                          4                                                             3.6   \n",
-       "                          5 Least deprived                                              2.5   \n",
-       "                          Unknown                                                       3.8   \n",
-       "bmi                       30+                                                           2.5   \n",
-       "                          under 30                                                      3.6   \n",
-       "chronic_cardiac_disease   no                                                            3.3   \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",
+       "                          Unknown                                                         0   \n",
+       "bmi                       30+                                                           3.2   \n",
+       "                          under 30                                                      3.4   \n",
+       "chronic_cardiac_disease   no                                                            3.4   \n",
        "                          yes                                                             0   \n",
-       "current_copd              no                                                            3.2   \n",
-       "                          yes                                                          12.5   \n",
-       "dialysis                  no                                                            3.3   \n",
+       "current_copd              no                                                            3.5   \n",
        "                          yes                                                             0   \n",
-       "dmards                    no                                                            3.3   \n",
+       "dialysis                  no                                                            3.4   \n",
        "                          yes                                                             0   \n",
-       "dementia                  no                                                            3.3   \n",
+       "dmards                    no                                                            3.4   \n",
+       "                          yes                                                            20   \n",
+       "dementia                  no                                                            3.5   \n",
        "                          yes                                                             0   \n",
-       "psychosis_schiz_bipolar   no                                                            3.3   \n",
-       "                          yes                                                          11.1   \n",
-       "LD                        no                                                            3.3   \n",
+       "psychosis_schiz_bipolar   no                                                            3.4   \n",
+       "                          yes                                                            20   \n",
+       "LD                        no                                                            3.6   \n",
        "                          yes                                                             0   \n",
-       "ssri                      no                                                            3.3   \n",
+       "ssri                      no                                                            3.5   \n",
        "                          yes                                                             0   \n",
        "chemo_or_radio            no                                                            3.4   \n",
-       "                          yes                                                            10   \n",
-       "lung_cancer               no                                                            3.3   \n",
        "                          yes                                                             0   \n",
-       "cancer_excl_lung_and_haem no                                                            3.3   \n",
+       "lung_cancer               no                                                            3.4   \n",
        "                          yes                                                             0   \n",
+       "cancer_excl_lung_and_haem no                                                            3.2   \n",
+       "                          yes                                                            20   \n",
        "haematological_cancer     no                                                            3.4   \n",
-       "                          yes                                                           9.1   \n",
+       "                          yes                                                            20   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  20-Jun  \n",
-       "sex                       F                                                        20-Jun  \n",
-       "                          M                                                        26-Jun  \n",
-       "ageband_5yr               0                                                        15-May  \n",
-       "                          0-15                                                     20-May  \n",
-       "                          16-29                                                    18-May  \n",
-       "                          30-34                                                    14-May  \n",
-       "                          35-39                                                    15-May  \n",
-       "                          40-44                                                    27-Jun  \n",
-       "                          45-49                                                    30-Jun  \n",
-       "                          50-54                                                    09-Jul  \n",
-       "                          55-59                                                    24-Jun  \n",
-       "                          60-64                                                    30-Jun  \n",
-       "                          65-69                                                    29-Jun  \n",
-       "                          70-74                                                    01-Jul  \n",
-       "                          75-79                                                    20-Jun  \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",
+       "                          65-69                                                   unknown  \n",
+       "                          70-74                                                    30-Apr  \n",
+       "                          75-79                                                    04-Jul  \n",
        "                          80-84                                                   unknown  \n",
-       "                          85-89                                                    25-May  \n",
-       "                          90+                                                     unknown  \n",
-       "ethnicity_6_groups        Black                                                    10-Jun  \n",
-       "                          Mixed                                                    07-Jul  \n",
-       "                          Other                                                    19-Jun  \n",
-       "                          South Asian                                              15-Jun  \n",
-       "                          Unknown                                                  25-Jun  \n",
-       "                          White                                                    22-Jun  \n",
-       "ethnicity_16_groups        African                                                 22-Jun  \n",
-       "                           Bangladeshi or British Bangladeshi                     unknown  \n",
-       "                           Caribbean                                               06-Jun  \n",
-       "                           Chinese                                                 07-May  \n",
-       "                           Other                                                   15-Jun  \n",
-       "                           Other Asian                                             03-Jun  \n",
-       "                          British or Mixed British                                 15-Jun  \n",
-       "                          Indian or British Indian                                 26-Aug  \n",
-       "                          Irish                                                   unknown  \n",
-       "                          Other Black                                              26-May  \n",
-       "                          Other White                                              20-Jun  \n",
-       "                          Other mixed                                              21-Jun  \n",
-       "                          Pakistani or British Pakistani                           11-Jun  \n",
-       "                          Unknown                                                  16-Jun  \n",
-       "                          White + Asian                                            20-Jun  \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",
+       "                          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                                 unknown  \n",
-       "imd_categories            1 Most deprived                                          12-Jun  \n",
-       "                          2                                                        21-Jun  \n",
-       "                          3                                                        28-Jun  \n",
-       "                          4                                                        14-Jun  \n",
-       "                          5 Least deprived                                         18-Jul  \n",
-       "                          Unknown                                                  05-Jun  \n",
-       "bmi                       30+                                                      25-Jul  \n",
-       "                          under 30                                                 10-Jun  \n",
-       "chronic_cardiac_disease   no                                                       19-Jun  \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",
+       "                          Unknown                                                 unknown  \n",
+       "bmi                       30+                                                      21-Jun  \n",
+       "                          under 30                                                 15-Jun  \n",
+       "chronic_cardiac_disease   no                                                       15-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       23-Jun  \n",
-       "                          yes                                                      03-Apr  \n",
-       "dialysis                  no                                                       20-Jun  \n",
+       "current_copd              no                                                       12-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       20-Jun  \n",
+       "dialysis                  no                                                       15-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "dementia                  no                                                       20-Jun  \n",
+       "dmards                    no                                                       15-Jun  \n",
+       "                          yes                                                      15-Mar  \n",
+       "dementia                  no                                                       11-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       20-Jun  \n",
-       "                          yes                                                      02-Apr  \n",
-       "LD                        no                                                       20-Jun  \n",
+       "psychosis_schiz_bipolar   no                                                       14-Jun  \n",
+       "                          yes                                                      22-Mar  \n",
+       "LD                        no                                                       09-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "ssri                      no                                                       20-Jun  \n",
+       "ssri                      no                                                       11-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       16-Jun  \n",
-       "                          yes                                                      09-Apr  \n",
-       "lung_cancer               no                                                       20-Jun  \n",
+       "chemo_or_radio            no                                                       15-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "cancer_excl_lung_and_haem no                                                       20-Jun  \n",
+       "lung_cancer               no                                                       15-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "haematological_cancer     no                                                       16-Jun  \n",
-       "                          yes                                                      08-Apr  "
+       "cancer_excl_lung_and_haem no                                                       21-Jun  \n",
+       "                          yes                                                      15-Mar  \n",
+       "haematological_cancer     no                                                       14-Jun  \n",
+       "                          yes                                                      15-Mar  "
       ]
      },
      "metadata": {},
@@ -2865,57 +2883,57 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>488</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>1155</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>31-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>266</td>\n",
-       "      <td>45.2</td>\n",
-       "      <td>588</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>3.5</td>\n",
-       "      <td>02-Jun</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>M</th>\n",
-       "      <td>224</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>560</td>\n",
-       "      <td>36.2</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>05-Jun</td>\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",
+       "    </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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"16\" valign=\"top\">ageband_5yr</th>\n",
        "      <th>0</th>\n",
        "      <td>35</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\n",
-       "      <td>10</td>\n",
-       "      <td>02-Apr</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>0-15</th>\n",
-       "      <td>28</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>40</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16-29</th>\n",
-       "      <td>28</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>56</td>\n",
-       "      <td>50</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",
@@ -2924,188 +2942,188 @@
        "      <td>28</td>\n",
        "      <td>36.4</td>\n",
        "      <td>77</td>\n",
-       "      <td>27.3</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>15-Apr</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>35-39</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>08-Apr</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-44</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>21</td>\n",
+       "      <td>27.3</td>\n",
+       "      <td>77</td>\n",
+       "      <td>27.3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>45-49</th>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>08-Apr</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-54</th>\n",
-       "      <td>35</td>\n",
-       "      <td>41.7</td>\n",
+       "      <td>28</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>84</td>\n",
        "      <td>33.3</td>\n",
-       "      <td>8.4</td>\n",
-       "      <td>14-Apr</td>\n",
+       "      <td>0</td>\n",
+       "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>55-59</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>38.5</td>\n",
+       "      <td>91</td>\n",
+       "      <td>38.5</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-64</th>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</td>\n",
+       "      <td>35.7</td>\n",
+       "      <td>98</td>\n",
+       "      <td>35.7</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>65-69</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>08-Apr</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>70-74</th>\n",
        "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>36.4</td>\n",
-       "      <td>9.1</td>\n",
-       "      <td>08-Apr</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>75-79</th>\n",
-       "      <td>14</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>70</td>\n",
-       "      <td>20</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80-84</th>\n",
-       "      <td>35</td>\n",
-       "      <td>45.5</td>\n",
-       "      <td>77</td>\n",
-       "      <td>45.5</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>85-89</th>\n",
-       "      <td>35</td>\n",
-       "      <td>55.6</td>\n",
-       "      <td>63</td>\n",
-       "      <td>44.4</td>\n",
-       "      <td>11.2</td>\n",
-       "      <td>26-Mar</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>90+</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",
+       "      <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 rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>84</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>196</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>04-Jun</td>\n",
+       "      <td>98</td>\n",
+       "      <td>41.2</td>\n",
+       "      <td>238</td>\n",
+       "      <td>35.3</td>\n",
+       "      <td>5.9</td>\n",
+       "      <td>01-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>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",
-       "      <td>10-Jun</td>\n",
+       "      <td>98</td>\n",
+       "      <td>38.9</td>\n",
+       "      <td>252</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>10-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>77</td>\n",
-       "      <td>39.3</td>\n",
-       "      <td>196</td>\n",
-       "      <td>32.1</td>\n",
-       "      <td>7.2</td>\n",
-       "      <td>23-Apr</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Unknown</th>\n",
        "      <td>84</td>\n",
-       "      <td>46.2</td>\n",
-       "      <td>182</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>7.7</td>\n",
-       "      <td>13-Apr</td>\n",
+       "      <td>36.4</td>\n",
+       "      <td>231</td>\n",
+       "      <td>33.3</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>04-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>White</th>\n",
+       "      <th>Unknown</th>\n",
        "      <td>70</td>\n",
-       "      <td>40.0</td>\n",
-       "      <td>175</td>\n",
-       "      <td>40</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>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",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dementia</th>\n",
        "      <th>no</th>\n",
-       "      <td>483</td>\n",
-       "      <td>42.3</td>\n",
-       "      <td>1141</td>\n",
-       "      <td>38.7</td>\n",
-       "      <td>3.6</td>\n",
-       "      <td>05-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
        "      <td>0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>7</td>\n",
+       "      <td>14</td>\n",
        "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
@@ -3117,122 +3135,122 @@
       "text/plain": [
        "                                vaccinated  percent  total  \\\n",
        "category           group                                     \n",
-       "overall            overall             488     42.3   1155   \n",
-       "sex                F                   266     45.2    588   \n",
-       "                   M                   224     40.0    560   \n",
-       "ageband_5yr        0                    35     50.0     70   \n",
-       "                   0-15                 28     40.0     70   \n",
-       "                   16-29                28     50.0     56   \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",
        "                   30-34                28     36.4     77   \n",
-       "                   35-39                35     45.5     77   \n",
-       "                   40-44                35     41.7     84   \n",
-       "                   45-49                35     45.5     77   \n",
-       "                   50-54                35     41.7     84   \n",
-       "                   55-59                28     44.4     63   \n",
-       "                   60-64                35     45.5     77   \n",
-       "                   65-69                35     45.5     77   \n",
-       "                   70-74                35     45.5     77   \n",
-       "                   75-79                14     20.0     70   \n",
-       "                   80-84                35     45.5     77   \n",
-       "                   85-89                35     55.6     63   \n",
-       "                   90+                  28     50.0     56   \n",
-       "ethnicity_6_groups Black                84     42.9    196   \n",
-       "                   Mixed                84     41.4    203   \n",
-       "                   Other                84     41.4    203   \n",
-       "                   South Asian          77     39.3    196   \n",
-       "                   Unknown              84     46.2    182   \n",
-       "                   White                70     40.0    175   \n",
-       "dementia           no                  483     42.3   1141   \n",
-       "                   yes                   0      0.0      7   \n",
+       "                   35-39                42     40.0    105   \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",
+       "                   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",
        "\n",
        "                               vaccinated 7d previous (percent)  \\\n",
        "category           group                                          \n",
-       "overall            overall                                 38.5   \n",
-       "sex                F                                       41.7   \n",
-       "                   M                                       36.2   \n",
-       "ageband_5yr        0                                         40   \n",
-       "                   0-15                                      40   \n",
-       "                   16-29                                     50   \n",
-       "                   30-34                                   27.3   \n",
-       "                   35-39                                   36.4   \n",
-       "                   40-44                                   33.3   \n",
-       "                   45-49                                   36.4   \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",
+       "                   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                                   44.4   \n",
-       "                   60-64                                   45.5   \n",
-       "                   65-69                                   36.4   \n",
-       "                   70-74                                   36.4   \n",
-       "                   75-79                                     20   \n",
-       "                   80-84                                   45.5   \n",
-       "                   85-89                                   44.4   \n",
-       "                   90+                                     37.5   \n",
-       "ethnicity_6_groups Black                                   39.3   \n",
-       "                   Mixed                                   37.9   \n",
-       "                   Other                                   37.9   \n",
-       "                   South Asian                             32.1   \n",
-       "                   Unknown                                 38.5   \n",
-       "                   White                                     40   \n",
-       "dementia           no                                      38.7   \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_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",
        "                   yes                                        0   \n",
        "\n",
        "                               Uptake over last 7d (percent)  \\\n",
        "category           group                                       \n",
-       "overall            overall                               3.8   \n",
-       "sex                F                                     3.5   \n",
-       "                   M                                     3.8   \n",
-       "ageband_5yr        0                                      10   \n",
+       "overall            overall                               3.1   \n",
+       "sex                F                                     3.9   \n",
+       "                   M                                     3.1   \n",
+       "ageband_5yr        0                                       0   \n",
        "                   0-15                                    0   \n",
        "                   16-29                                   0   \n",
-       "                   30-34                                 9.1   \n",
-       "                   35-39                                 9.1   \n",
-       "                   40-44                                 8.4   \n",
-       "                   45-49                                 9.1   \n",
-       "                   50-54                                 8.4   \n",
+       "                   30-34                                   0   \n",
+       "                   35-39                                 6.7   \n",
+       "                   40-44                                   0   \n",
+       "                   45-49                                 7.7   \n",
+       "                   50-54                                   0   \n",
        "                   55-59                                   0   \n",
        "                   60-64                                   0   \n",
-       "                   65-69                                 9.1   \n",
-       "                   70-74                                 9.1   \n",
+       "                   65-69                                   0   \n",
+       "                   70-74                                   0   \n",
        "                   75-79                                   0   \n",
        "                   80-84                                   0   \n",
-       "                   85-89                                11.2   \n",
-       "                   90+                                  12.5   \n",
-       "ethnicity_6_groups Black                                 3.6   \n",
-       "                   Mixed                                 3.5   \n",
-       "                   Other                                 3.5   \n",
-       "                   South Asian                           7.2   \n",
-       "                   Unknown                               7.7   \n",
-       "                   White                                   0   \n",
-       "dementia           no                                    3.6   \n",
+       "                   85-89                                   0   \n",
+       "                   90+                                     0   \n",
+       "ethnicity_6_groups Black                                 5.9   \n",
+       "                   Mixed                                 2.8   \n",
+       "                   Other                                 2.6   \n",
+       "                   South Asian                           3.1   \n",
+       "                   Unknown                                 0   \n",
+       "                   White                                 3.2   \n",
+       "dementia           no                                      3   \n",
        "                   yes                                     0   \n",
        "\n",
        "                               Date projected to reach 90%  \n",
        "category           group                                    \n",
-       "overall            overall                          31-May  \n",
-       "sex                F                                02-Jun  \n",
-       "                   M                                05-Jun  \n",
-       "ageband_5yr        0                                02-Apr  \n",
+       "overall            overall                          01-Jul  \n",
+       "sex                F                                06-Jun  \n",
+       "                   M                                01-Jul  \n",
+       "ageband_5yr        0                               unknown  \n",
        "                   0-15                            unknown  \n",
        "                   16-29                           unknown  \n",
-       "                   30-34                            15-Apr  \n",
-       "                   35-39                            08-Apr  \n",
-       "                   40-44                            14-Apr  \n",
-       "                   45-49                            08-Apr  \n",
-       "                   50-54                            14-Apr  \n",
+       "                   30-34                           unknown  \n",
+       "                   35-39                            26-Apr  \n",
+       "                   40-44                           unknown  \n",
+       "                   45-49                            20-Apr  \n",
+       "                   50-54                           unknown  \n",
        "                   55-59                           unknown  \n",
        "                   60-64                           unknown  \n",
-       "                   65-69                            08-Apr  \n",
-       "                   70-74                            08-Apr  \n",
+       "                   65-69                           unknown  \n",
+       "                   70-74                           unknown  \n",
        "                   75-79                           unknown  \n",
        "                   80-84                           unknown  \n",
-       "                   85-89                            26-Mar  \n",
-       "                   90+                              27-Mar  \n",
-       "ethnicity_6_groups Black                            04-Jun  \n",
-       "                   Mixed                            10-Jun  \n",
-       "                   Other                            10-Jun  \n",
-       "                   South Asian                      23-Apr  \n",
-       "                   Unknown                          13-Apr  \n",
-       "                   White                           unknown  \n",
-       "dementia           no                               05-Jun  \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  "
       ]
      },
@@ -3320,12 +3338,12 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>163</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>427</td>\n",
-       "      <td>35.8</td>\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>03-Aug</td>\n",
+       "      <td>01-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">newly_shielded_since_feb_15</th>\n",
@@ -3350,11 +3368,11 @@
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</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",
-       "      <td>01-Jul</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
@@ -3478,9 +3496,9 @@
        "    <tr>\n",
        "      <th>White</th>\n",
        "      <td>35</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>91</td>\n",
-       "      <td>38.5</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",
@@ -3543,11 +3561,11 @@
        "      <th rowspan=\"2\" valign=\"top\">LD</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>39.0</td>\n",
+       "      <td>413</td>\n",
+       "      <td>35.6</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>18-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
@@ -3565,10 +3583,10 @@
       "text/plain": [
        "                                              vaccinated  percent  total  \\\n",
        "category                    group                                          \n",
-       "overall                     overall                  163     38.2    427   \n",
+       "overall                     overall                  162     38.6    420   \n",
        "newly_shielded_since_feb_15 no                       161     38.3    420   \n",
        "                            yes                        0      NaN      0   \n",
-       "sex                         F                         84     37.5    224   \n",
+       "sex                         F                         84     38.7    217   \n",
        "                            M                         77     37.9    203   \n",
        "ageband                     16-29                     28     50.0     56   \n",
        "                            30-39                     21     37.5     56   \n",
@@ -3582,22 +3600,22 @@
        "                            Other                     21     33.3     63   \n",
        "                            South Asian               21     30.0     70   \n",
        "                            Unknown                   28     44.4     63   \n",
-       "                            White                     35     38.5     91   \n",
+       "                            White                     35     41.7     84   \n",
        "imd_categories              1 Most deprived           21     30.0     70   \n",
        "                            2                         42     42.9     98   \n",
        "                            3                         28     33.3     84   \n",
        "                            4                         35     41.7     84   \n",
        "                            5 Least deprived          28     36.4     77   \n",
        "                            Unknown                    7     33.3     21   \n",
-       "LD                          no                       161     38.3    420   \n",
+       "LD                          no                       161     39.0    413   \n",
        "                            yes                        0      0.0      7   \n",
        "\n",
        "                                             vaccinated 7d previous (percent)  \\\n",
        "category                    group                                               \n",
-       "overall                     overall                                      35.8   \n",
+       "overall                     overall                                      36.2   \n",
        "newly_shielded_since_feb_15 no                                             35   \n",
        "                            yes                                           NaN   \n",
-       "sex                         F                                            34.4   \n",
+       "sex                         F                                            35.5   \n",
        "                            M                                            37.9   \n",
        "ageband                     16-29                                          50   \n",
        "                            30-39                                          25   \n",
@@ -3611,14 +3629,14 @@
        "                            Other                                        33.3   \n",
        "                            South Asian                                    30   \n",
        "                            Unknown                                      44.4   \n",
-       "                            White                                        38.5   \n",
+       "                            White                                        41.7   \n",
        "imd_categories              1 Most deprived                                30   \n",
        "                            2                                            35.7   \n",
        "                            3                                            33.3   \n",
        "                            4                                            33.3   \n",
        "                            5 Least deprived                             36.4   \n",
        "                            Unknown                                      33.3   \n",
-       "LD                          no                                             35   \n",
+       "LD                          no                                           35.6   \n",
        "                            yes                                             0   \n",
        "\n",
        "                                             Uptake over last 7d (percent)  \\\n",
@@ -3626,7 +3644,7 @@
        "overall                     overall                                    2.4   \n",
        "newly_shielded_since_feb_15 no                                         3.3   \n",
        "                            yes                                          0   \n",
-       "sex                         F                                          3.1   \n",
+       "sex                         F                                          3.2   \n",
        "                            M                                            0   \n",
        "ageband                     16-29                                        0   \n",
        "                            30-39                                     12.5   \n",
@@ -3647,15 +3665,15 @@
        "                            4                                          8.4   \n",
        "                            5 Least deprived                             0   \n",
        "                            Unknown                                      0   \n",
-       "LD                          no                                         3.3   \n",
+       "LD                          no                                         3.4   \n",
        "                            yes                                          0   \n",
        "\n",
        "                                             Date projected to reach 90%  \n",
        "category                    group                                         \n",
-       "overall                     overall                               03-Aug  \n",
+       "overall                     overall                               01-Aug  \n",
        "newly_shielded_since_feb_15 no                                    22-Jun  \n",
        "                            yes                                  unknown  \n",
-       "sex                         F                                     01-Jul  \n",
+       "sex                         F                                     25-Jun  \n",
        "                            M                                    unknown  \n",
        "ageband                     16-29                                unknown  \n",
        "                            30-39                                 03-Apr  \n",
@@ -3676,7 +3694,7 @@
        "                            4                                     14-Apr  \n",
        "                            5 Least deprived                     unknown  \n",
        "                            Unknown                              unknown  \n",
-       "LD                          no                                    22-Jun  \n",
+       "LD                          no                                    18-Jun  \n",
        "                            yes                                  unknown  "
       ]
      },
@@ -3764,521 +3782,521 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>1262</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3059</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>665</td>\n",
-       "      <td>42.0</td>\n",
-       "      <td>1582</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>3.1</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>595</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>1477</td>\n",
-       "      <td>37.4</td>\n",
-       "      <td>2.9</td>\n",
-       "      <td>02-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>224</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>546</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>20-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>217</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>504</td>\n",
-       "      <td>38.9</td>\n",
-       "      <td>4.2</td>\n",
-       "      <td>22-May</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>Other</th>\n",
-       "      <td>203</td>\n",
+       "      <td>154</td>\n",
+       "      <td>41.5</td>\n",
+       "      <td>371</td>\n",
        "      <td>37.7</td>\n",
-       "      <td>539</td>\n",
-       "      <td>35.1</td>\n",
-       "      <td>2.6</td>\n",
-       "      <td>23-Jul</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>02-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>224</td>\n",
-       "      <td>43.8</td>\n",
-       "      <td>511</td>\n",
-       "      <td>38.4</td>\n",
-       "      <td>5.4</td>\n",
-       "      <td>03-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>189</td>\n",
-       "      <td>42.2</td>\n",
-       "      <td>448</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>20-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>217</td>\n",
-       "      <td>43.1</td>\n",
-       "      <td>504</td>\n",
-       "      <td>38.9</td>\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>22-May</td>\n",
+       "      <td>24-May</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>42.3</td>\n",
-       "      <td>182</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3.8</td>\n",
-       "      <td>31-May</td>\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",
        "    </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>34.8</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>12-May</td>\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>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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>63</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>154</td>\n",
-       "      <td>40.9</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>07-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>70</td>\n",
-       "      <td>41.7</td>\n",
-       "      <td>168</td>\n",
+       "      <td>42</td>\n",
        "      <td>37.5</td>\n",
-       "      <td>4.2</td>\n",
-       "      <td>24-May</td>\n",
+       "      <td>112</td>\n",
+       "      <td>31.2</td>\n",
+       "      <td>6.3</td>\n",
+       "      <td>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>63</td>\n",
-       "      <td>45.0</td>\n",
-       "      <td>140</td>\n",
-       "      <td>45</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</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>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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</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>24-May</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>02-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</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>31-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>70</td>\n",
-       "      <td>43.5</td>\n",
-       "      <td>161</td>\n",
-       "      <td>43.5</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>203</td>\n",
-       "      <td>43.9</td>\n",
-       "      <td>462</td>\n",
-       "      <td>40.9</td>\n",
-       "      <td>3</td>\n",
-       "      <td>20-Jun</td>\n",
+       "      <td>133</td>\n",
+       "      <td>40.4</td>\n",
+       "      <td>329</td>\n",
+       "      <td>38.3</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>17-Aug</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</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",
-       "      <td>31-May</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>01-May</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>56</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>161</td>\n",
-       "      <td>34.8</td>\n",
-       "      <td>0</td>\n",
-       "      <td>unknown</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>63</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>147</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>4.8</td>\n",
-       "      <td>12-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>245</td>\n",
-       "      <td>40.2</td>\n",
-       "      <td>609</td>\n",
-       "      <td>37.9</td>\n",
-       "      <td>2.3</td>\n",
-       "      <td>03-Aug</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>238</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>581</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3.7</td>\n",
-       "      <td>05-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>252</td>\n",
-       "      <td>42.9</td>\n",
-       "      <td>588</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>2.4</td>\n",
-       "      <td>20-Jul</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>245</td>\n",
-       "      <td>44.9</td>\n",
-       "      <td>546</td>\n",
-       "      <td>41</td>\n",
-       "      <td>3.9</td>\n",
-       "      <td>24-May</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>210</td>\n",
-       "      <td>36.6</td>\n",
-       "      <td>574</td>\n",
-       "      <td>34.1</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>01-Aug</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>63</td>\n",
-       "      <td>39.1</td>\n",
-       "      <td>161</td>\n",
-       "      <td>39.1</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>392</td>\n",
-       "      <td>43.4</td>\n",
-       "      <td>903</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>3.1</td>\n",
-       "      <td>18-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>868</td>\n",
-       "      <td>40.3</td>\n",
-       "      <td>2156</td>\n",
-       "      <td>37.3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>28-Jun</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>27-Jun</td>\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",
        "    </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",
+       "      <td>50.0</td>\n",
+       "      <td>28</td>\n",
+       "      <td>25</td>\n",
+       "      <td>25</td>\n",
+       "      <td>16-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38.2</td>\n",
+       "      <td>868</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>2135</td>\n",
+       "      <td>37.7</td>\n",
        "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>28-Jun</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>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
-       "      <td>3</td>\n",
-       "      <td>27-Jun</td>\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",
        "    </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>7</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>50</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>1246</td>\n",
-       "      <td>41.1</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.1</td>\n",
+       "      <td>861</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>2128</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>3</td>\n",
-       "      <td>27-Jun</td>\n",
+       "      <td>28-Jun</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>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\">psychosis_schiz_bipolar</th>\n",
        "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3024</td>\n",
-       "      <td>38.2</td>\n",
+       "      <td>861</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>2128</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>28-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>7</td>\n",
+       "      <td>33.3</td>\n",
        "      <td>21</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>42</td>\n",
-       "      <td>50</td>\n",
+       "      <td>33.3</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>1246</td>\n",
-       "      <td>41.5</td>\n",
-       "      <td>3003</td>\n",
-       "      <td>38.5</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</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>16-Jul</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</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>42.9</td>\n",
+       "      <td>49</td>\n",
+       "      <td>28.6</td>\n",
+       "      <td>14.3</td>\n",
+       "      <td>28-Mar</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3024</td>\n",
-       "      <td>38.2</td>\n",
+       "      <td>861</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>2128</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>28-Jun</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>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\">chemo_or_radio</th>\n",
        "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.3</td>\n",
-       "      <td>3</td>\n",
-       "      <td>26-Jun</td>\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",
        "    </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>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>1253</td>\n",
-       "      <td>41.2</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38.2</td>\n",
+       "      <td>861</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>2128</td>\n",
+       "      <td>37.5</td>\n",
        "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>28-Jun</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>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\">cancer_excl_lung_and_haem</th>\n",
        "      <th>no</th>\n",
-       "      <td>1253</td>\n",
-       "      <td>41.3</td>\n",
-       "      <td>3031</td>\n",
-       "      <td>38.3</td>\n",
+       "      <td>854</td>\n",
+       "      <td>40.3</td>\n",
+       "      <td>2121</td>\n",
+       "      <td>37.3</td>\n",
        "      <td>3</td>\n",
-       "      <td>26-Jun</td>\n",
+       "      <td>28-Jun</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</td>\n",
-       "      <td>20</td>\n",
-       "      <td>22-Mar</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\">haematological_cancer</th>\n",
        "      <th>no</th>\n",
-       "      <td>1246</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>3038</td>\n",
-       "      <td>38</td>\n",
+       "      <td>868</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>2135</td>\n",
+       "      <td>37.7</td>\n",
        "      <td>3</td>\n",
-       "      <td>27-Jun</td>\n",
+       "      <td>28-Jun</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>14</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>50</td>\n",
+       "      <td>0</td>\n",
        "      <td>0</td>\n",
        "      <td>unknown</td>\n",
        "    </tr>\n",
@@ -4289,297 +4307,297 @@
       "text/plain": [
        "                                                               vaccinated  \\\n",
        "category                  group                                             \n",
-       "overall                   overall                                    1262   \n",
-       "sex                       F                                           665   \n",
-       "                          M                                           595   \n",
-       "ethnicity_6_groups        Black                                       224   \n",
-       "                          Mixed                                       217   \n",
-       "                          Other                                       203   \n",
-       "                          South Asian                                 224   \n",
-       "                          Unknown                                     189   \n",
-       "                          White                                       217   \n",
-       "ethnicity_16_groups        African                                     77   \n",
-       "                           Bangladeshi or British Bangladeshi          56   \n",
-       "                           Caribbean                                   63   \n",
-       "                           Chinese                                     70   \n",
-       "                           Other                                       63   \n",
-       "                           Other Asian                                 70   \n",
-       "                          British or Mixed British                     63   \n",
-       "                          Indian or British Indian                     70   \n",
-       "                          Irish                                        63   \n",
-       "                          Other Black                                  63   \n",
-       "                          Other White                                  70   \n",
-       "                          Other mixed                                  77   \n",
-       "                          Pakistani or British Pakistani               70   \n",
-       "                          Unknown                                     203   \n",
-       "                          White + Asian                                63   \n",
-       "                          White + Black African                        56   \n",
-       "                          White + Black Caribbean                      63   \n",
-       "imd_categories            1 Most deprived                             245   \n",
-       "                          2                                           238   \n",
-       "                          3                                           252   \n",
-       "                          4                                           245   \n",
-       "                          5 Least deprived                            210   \n",
-       "                          Unknown                                      63   \n",
-       "bmi                       30+                                         392   \n",
-       "                          under 30                                    868   \n",
-       "chronic_cardiac_disease   no                                         1246   \n",
+       "overall                   overall                                     868   \n",
+       "sex                       F                                           441   \n",
+       "                          M                                           427   \n",
+       "ethnicity_6_groups        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",
+       "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",
        "                          yes                                          14   \n",
-       "current_copd              no                                         1253   \n",
+       "current_copd              no                                          868   \n",
+       "                          yes                                           0   \n",
+       "dmards                    no                                          861   \n",
        "                          yes                                           7   \n",
-       "dmards                    no                                         1246   \n",
-       "                          yes                                          21   \n",
-       "dementia                  no                                         1246   \n",
-       "                          yes                                          14   \n",
-       "psychosis_schiz_bipolar   no                                         1246   \n",
-       "                          yes                                          21   \n",
-       "LD                        no                                         1246   \n",
-       "                          yes                                          21   \n",
-       "ssri                      no                                         1246   \n",
-       "                          yes                                          14   \n",
-       "chemo_or_radio            no                                         1253   \n",
+       "dementia                  no                                          861   \n",
        "                          yes                                           7   \n",
-       "lung_cancer               no                                         1253   \n",
+       "psychosis_schiz_bipolar   no                                          861   \n",
        "                          yes                                           7   \n",
-       "cancer_excl_lung_and_haem no                                         1253   \n",
-       "                          yes                                          14   \n",
-       "haematological_cancer     no                                         1246   \n",
+       "LD                        no                                          847   \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",
+       "                          yes                                           7   \n",
+       "cancer_excl_lung_and_haem no                                          854   \n",
        "                          yes                                          14   \n",
+       "haematological_cancer     no                                          868   \n",
+       "                          yes                                           0   \n",
        "\n",
        "                                                               percent  total  \\\n",
        "category                  group                                                 \n",
-       "overall                   overall                                 41.3   3059   \n",
-       "sex                       F                                       42.0   1582   \n",
-       "                          M                                       40.3   1477   \n",
-       "ethnicity_6_groups        Black                                   41.0    546   \n",
-       "                          Mixed                                   43.1    504   \n",
-       "                          Other                                   37.7    539   \n",
-       "                          South Asian                             43.8    511   \n",
-       "                          Unknown                                 42.2    448   \n",
-       "                          White                                   43.1    504   \n",
-       "ethnicity_16_groups        African                                42.3    182   \n",
-       "                           Bangladeshi or British Bangladeshi     34.8    161   \n",
-       "                           Caribbean                              42.9    147   \n",
-       "                           Chinese                                43.5    161   \n",
-       "                           Other                                  40.9    154   \n",
-       "                           Other Asian                            41.7    168   \n",
-       "                          British or Mixed British                45.0    140   \n",
-       "                          Indian or British Indian                38.5    182   \n",
-       "                          Irish                                   42.9    147   \n",
-       "                          Other Black                             36.0    175   \n",
-       "                          Other White                             41.7    168   \n",
-       "                          Other mixed                             42.3    182   \n",
-       "                          Pakistani or British Pakistani          43.5    161   \n",
-       "                          Unknown                                 43.9    462   \n",
-       "                          White + Asian                           37.5    168   \n",
-       "                          White + Black African                   34.8    161   \n",
-       "                          White + Black Caribbean                 42.9    147   \n",
-       "imd_categories            1 Most deprived                         40.2    609   \n",
-       "                          2                                       41.0    581   \n",
-       "                          3                                       42.9    588   \n",
-       "                          4                                       44.9    546   \n",
-       "                          5 Least deprived                        36.6    574   \n",
-       "                          Unknown                                 39.1    161   \n",
-       "bmi                       30+                                     43.4    903   \n",
-       "                          under 30                                40.3   2156   \n",
-       "chronic_cardiac_disease   no                                      41.1   3031   \n",
-       "                          yes                                     40.0     35   \n",
-       "current_copd              no                                      41.2   3038   \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",
+       "                          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",
+       "                          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",
        "                          yes                                     33.3     21   \n",
-       "dmards                    no                                      41.1   3031   \n",
-       "                          yes                                     60.0     35   \n",
-       "dementia                  no                                      41.1   3031   \n",
-       "                          yes                                     40.0     35   \n",
-       "psychosis_schiz_bipolar   no                                      41.2   3024   \n",
-       "                          yes                                     50.0     42   \n",
-       "LD                        no                                      41.5   3003   \n",
-       "                          yes                                     37.5     56   \n",
-       "ssri                      no                                      41.2   3024   \n",
-       "                          yes                                     40.0     35   \n",
-       "chemo_or_radio            no                                      41.3   3031   \n",
-       "                          yes                                     25.0     28   \n",
-       "lung_cancer               no                                      41.2   3038   \n",
-       "                          yes                                     25.0     28   \n",
-       "cancer_excl_lung_and_haem no                                      41.3   3031   \n",
-       "                          yes                                     40.0     35   \n",
-       "haematological_cancer     no                                      41.0   3038   \n",
+       "psychosis_schiz_bipolar   no                                      40.5   2128   \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",
+       "                          yes                                     33.3     21   \n",
+       "cancer_excl_lung_and_haem no                                      40.3   2121   \n",
        "                          yes                                     50.0     28   \n",
+       "haematological_cancer     no                                      40.7   2135   \n",
+       "                          yes                                      0.0     14   \n",
        "\n",
        "                                                              vaccinated 7d previous (percent)  \\\n",
        "category                  group                                                                  \n",
-       "overall                   overall                                                         38.3   \n",
-       "sex                       F                                                               38.9   \n",
-       "                          M                                                               37.4   \n",
-       "ethnicity_6_groups        Black                                                           38.5   \n",
-       "                          Mixed                                                           38.9   \n",
-       "                          Other                                                           35.1   \n",
-       "                          South Asian                                                     38.4   \n",
-       "                          Unknown                                                         39.1   \n",
-       "                          White                                                           38.9   \n",
-       "ethnicity_16_groups        African                                                        38.5   \n",
-       "                           Bangladeshi or British Bangladeshi                             34.8   \n",
-       "                           Caribbean                                                      38.1   \n",
-       "                           Chinese                                                        39.1   \n",
-       "                           Other                                                          40.9   \n",
-       "                           Other Asian                                                    37.5   \n",
-       "                          British or Mixed British                                          45   \n",
-       "                          Indian or British Indian                                        34.6   \n",
-       "                          Irish                                                           42.9   \n",
-       "                          Other Black                                                       32   \n",
-       "                          Other White                                                     37.5   \n",
-       "                          Other mixed                                                     38.5   \n",
-       "                          Pakistani or British Pakistani                                  43.5   \n",
-       "                          Unknown                                                         40.9   \n",
-       "                          White + Asian                                                   33.3   \n",
-       "                          White + Black African                                           34.8   \n",
-       "                          White + Black Caribbean                                         38.1   \n",
-       "imd_categories            1 Most deprived                                                 37.9   \n",
-       "                          2                                                               37.3   \n",
-       "                          3                                                               40.5   \n",
-       "                          4                                                                 41   \n",
-       "                          5 Least deprived                                                34.1   \n",
-       "                          Unknown                                                         39.1   \n",
-       "bmi                       30+                                                             40.3   \n",
-       "                          under 30                                                        37.3   \n",
-       "chronic_cardiac_disease   no                                                              38.1   \n",
-       "                          yes                                                               40   \n",
-       "current_copd              no                                                              38.2   \n",
-       "                          yes                                                             33.3   \n",
-       "dmards                    no                                                              38.1   \n",
-       "                          yes                                                               40   \n",
-       "dementia                  no                                                              38.1   \n",
-       "                          yes                                                               40   \n",
-       "psychosis_schiz_bipolar   no                                                              38.2   \n",
-       "                          yes                                                               50   \n",
-       "LD                        no                                                              38.5   \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",
+       "                          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   \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",
        "                          yes                                                               25   \n",
-       "ssri                      no                                                              38.2   \n",
-       "                          yes                                                               40   \n",
-       "chemo_or_radio            no                                                              38.3   \n",
-       "                          yes                                                               25   \n",
-       "lung_cancer               no                                                              38.2   \n",
-       "                          yes                                                               25   \n",
-       "cancer_excl_lung_and_haem no                                                              38.3   \n",
-       "                          yes                                                               20   \n",
-       "haematological_cancer     no                                                                38   \n",
+       "current_copd              no                                                              37.7   \n",
+       "                          yes                                                                0   \n",
+       "dmards                    no                                                              37.4   \n",
+       "                          yes                                                               50   \n",
+       "dementia                  no                                                              37.5   \n",
+       "                          yes                                                             33.3   \n",
+       "psychosis_schiz_bipolar   no                                                              37.5   \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",
+       "                          yes                                                             33.3   \n",
+       "cancer_excl_lung_and_haem no                                                              37.3   \n",
        "                          yes                                                               50   \n",
+       "haematological_cancer     no                                                              37.7   \n",
+       "                          yes                                                                0   \n",
        "\n",
        "                                                              Uptake over last 7d (percent)  \\\n",
        "category                  group                                                               \n",
-       "overall                   overall                                                         3   \n",
-       "sex                       F                                                             3.1   \n",
-       "                          M                                                             2.9   \n",
-       "ethnicity_6_groups        Black                                                         2.5   \n",
-       "                          Mixed                                                         4.2   \n",
-       "                          Other                                                         2.6   \n",
-       "                          South Asian                                                   5.4   \n",
-       "                          Unknown                                                       3.1   \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",
-       "ethnicity_16_groups        African                                                      3.8   \n",
+       "ethnicity_16_groups        African                                                      6.7   \n",
        "                           Bangladeshi or British Bangladeshi                             0   \n",
-       "                           Caribbean                                                    4.8   \n",
-       "                           Chinese                                                      4.4   \n",
-       "                           Other                                                          0   \n",
-       "                           Other Asian                                                  4.2   \n",
+       "                           Caribbean                                                      0   \n",
+       "                           Chinese                                                        0   \n",
+       "                           Other                                                        5.6   \n",
+       "                           Other Asian                                                  6.3   \n",
        "                          British or Mixed British                                        0   \n",
-       "                          Indian or British Indian                                      3.9   \n",
-       "                          Irish                                                           0   \n",
-       "                          Other Black                                                     4   \n",
-       "                          Other White                                                   4.2   \n",
-       "                          Other mixed                                                   3.8   \n",
+       "                          Indian or British Indian                                      6.2   \n",
+       "                          Irish                                                         6.7   \n",
+       "                          Other Black                                                     0   \n",
+       "                          Other White                                                   5.5   \n",
+       "                          Other mixed                                                   6.3   \n",
        "                          Pakistani or British Pakistani                                  0   \n",
-       "                          Unknown                                                         3   \n",
-       "                          White + Asian                                                 4.2   \n",
-       "                          White + Black African                                           0   \n",
-       "                          White + Black Caribbean                                       4.8   \n",
-       "imd_categories            1 Most deprived                                               2.3   \n",
-       "                          2                                                             3.7   \n",
-       "                          3                                                             2.4   \n",
-       "                          4                                                             3.9   \n",
-       "                          5 Least deprived                                              2.5   \n",
+       "                          Unknown                                                       2.1   \n",
+       "                          White + Asian                                                 5.9   \n",
+       "                          White + Black African                                         6.7   \n",
+       "                          White + Black Caribbean                                         0   \n",
+       "imd_categories            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   \n",
-       "bmi                       30+                                                           3.1   \n",
-       "                          under 30                                                        3   \n",
-       "chronic_cardiac_disease   no                                                              3   \n",
-       "                          yes                                                             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",
        "                          yes                                                             0   \n",
-       "dmards                    no                                                              3   \n",
-       "                          yes                                                            20   \n",
+       "dmards                    no                                                            2.9   \n",
+       "                          yes                                                             0   \n",
        "dementia                  no                                                              3   \n",
        "                          yes                                                             0   \n",
        "psychosis_schiz_bipolar   no                                                              3   \n",
        "                          yes                                                             0   \n",
-       "LD                        no                                                              3   \n",
-       "                          yes                                                          12.5   \n",
+       "LD                        no                                                            2.6   \n",
+       "                          yes                                                          14.3   \n",
        "ssri                      no                                                              3   \n",
        "                          yes                                                             0   \n",
-       "chemo_or_radio            no                                                              3   \n",
+       "chemo_or_radio            no                                                            2.6   \n",
        "                          yes                                                             0   \n",
        "lung_cancer               no                                                              3   \n",
        "                          yes                                                             0   \n",
        "cancer_excl_lung_and_haem no                                                              3   \n",
-       "                          yes                                                            20   \n",
+       "                          yes                                                             0   \n",
        "haematological_cancer     no                                                              3   \n",
        "                          yes                                                             0   \n",
        "\n",
        "                                                              Date projected to reach 90%  \n",
        "category                  group                                                            \n",
-       "overall                   overall                                                  26-Jun  \n",
+       "overall                   overall                                                  02-Jul  \n",
        "sex                       F                                                        21-Jun  \n",
-       "                          M                                                        02-Jul  \n",
-       "ethnicity_6_groups        Black                                                    20-Jul  \n",
-       "                          Mixed                                                    22-May  \n",
-       "                          Other                                                    23-Jul  \n",
-       "                          South Asian                                              03-May  \n",
-       "                          Unknown                                                  20-Jun  \n",
-       "                          White                                                    22-May  \n",
-       "ethnicity_16_groups        African                                                 31-May  \n",
+       "                          M                                                        11-Jul  \n",
+       "ethnicity_6_groups        Black                                                    23-Aug  \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",
        "                           Bangladeshi or British Bangladeshi                     unknown  \n",
-       "                           Caribbean                                               12-May  \n",
-       "                           Chinese                                                 17-May  \n",
-       "                           Other                                                  unknown  \n",
-       "                           Other Asian                                             24-May  \n",
+       "                           Caribbean                                              unknown  \n",
+       "                           Chinese                                                unknown  \n",
+       "                           Other                                                   07-May  \n",
+       "                           Other Asian                                             02-May  \n",
        "                          British or Mixed British                                unknown  \n",
-       "                          Indian or British Indian                                 05-Jun  \n",
-       "                          Irish                                                   unknown  \n",
-       "                          Other Black                                              07-Jun  \n",
-       "                          Other White                                              24-May  \n",
-       "                          Other mixed                                              31-May  \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",
        "                          Pakistani or British Pakistani                          unknown  \n",
-       "                          Unknown                                                  20-Jun  \n",
-       "                          White + Asian                                            31-May  \n",
-       "                          White + Black African                                   unknown  \n",
-       "                          White + Black Caribbean                                  12-May  \n",
-       "imd_categories            1 Most deprived                                          03-Aug  \n",
-       "                          2                                                        05-Jun  \n",
-       "                          3                                                        20-Jul  \n",
-       "                          4                                                        24-May  \n",
-       "                          5 Least deprived                                         01-Aug  \n",
+       "                          Unknown                                                  17-Aug  \n",
+       "                          White + Asian                                            01-May  \n",
+       "                          White + Black African                                    26-Apr  \n",
+       "                          White + Black Caribbean                                 unknown  \n",
+       "imd_categories            1 Most deprived                                          15-Jun  \n",
+       "                          2                                                       unknown  \n",
+       "                          3                                                        12-Jun  \n",
+       "                          4                                                        18-Jun  \n",
+       "                          5 Least deprived                                         19-Jun  \n",
        "                          Unknown                                                 unknown  \n",
-       "bmi                       30+                                                      18-Jun  \n",
-       "                          under 30                                                 28-Jun  \n",
-       "chronic_cardiac_disease   no                                                       27-Jun  \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",
        "                          yes                                                     unknown  \n",
-       "current_copd              no                                                       26-Jun  \n",
+       "dmards                    no                                                       02-Jul  \n",
        "                          yes                                                     unknown  \n",
-       "dmards                    no                                                       27-Jun  \n",
-       "                          yes                                                      15-Mar  \n",
-       "dementia                  no                                                       27-Jun  \n",
+       "dementia                  no                                                       28-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "psychosis_schiz_bipolar   no                                                       26-Jun  \n",
+       "psychosis_schiz_bipolar   no                                                       28-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "LD                        no                                                       26-Jun  \n",
-       "                          yes                                                      03-Apr  \n",
-       "ssri                      no                                                       26-Jun  \n",
+       "LD                        no                                                       16-Jul  \n",
+       "                          yes                                                      28-Mar  \n",
+       "ssri                      no                                                       28-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "chemo_or_radio            no                                                       26-Jun  \n",
+       "chemo_or_radio            no                                                       16-Jul  \n",
        "                          yes                                                     unknown  \n",
-       "lung_cancer               no                                                       26-Jun  \n",
+       "lung_cancer               no                                                       28-Jun  \n",
        "                          yes                                                     unknown  \n",
-       "cancer_excl_lung_and_haem no                                                       26-Jun  \n",
-       "                          yes                                                      22-Mar  \n",
-       "haematological_cancer     no                                                       27-Jun  \n",
+       "cancer_excl_lung_and_haem no                                                       28-Jun  \n",
+       "                          yes                                                     unknown  \n",
+       "haematological_cancer     no                                                       28-Jun  \n",
        "                          yes                                                     unknown  "
       ]
      },
@@ -4982,33 +5000,907 @@
        "                   Unknown                               5.6   \n",
        "                   White                                   5   \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",
-       "ageband_5yr        0                               unknown  \n",
-       "                   0-15                            unknown  \n",
-       "                   16-29                            27-Mar  \n",
-       "                   30-34                            04-Apr  \n",
-       "                   35-39                           unknown  \n",
-       "                   40-44                           unknown  \n",
-       "                   45-49                           unknown  \n",
-       "                   50-54                           unknown  \n",
-       "                   55-59                            27-Mar  \n",
-       "                   60-64                           unknown  \n",
-       "                   65-69                           unknown  \n",
-       "                   70-74                            28-Mar  \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  "
+       "                               Date projected to reach 90%  \n",
+       "category           group                                    \n",
+       "overall            overall                          04-Jun  \n",
+       "sex                F                                11-Jun  \n",
+       "                   M                                07-May  \n",
+       "ageband_5yr        0                               unknown  \n",
+       "                   0-15                            unknown  \n",
+       "                   16-29                            27-Mar  \n",
+       "                   30-34                            04-Apr  \n",
+       "                   35-39                           unknown  \n",
+       "                   40-44                           unknown  \n",
+       "                   45-49                           unknown  \n",
+       "                   50-54                           unknown  \n",
+       "                   55-59                            27-Mar  \n",
+       "                   60-64                           unknown  \n",
+       "                   65-69                           unknown  \n",
+       "                   70-74                            28-Mar  \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  "
+      ]
+     },
+     "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 **60-64** population up to 05 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>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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>39.3</td>\n",
+       "      <td>427</td>\n",
+       "      <td>36.1</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>23-Jun</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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Caribbean</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>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",
+       "    </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",
+       "    </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>469</td>\n",
+       "      <td>34.3</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>23-May</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</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>06-Jul</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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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",
+       "    </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>03-Jun</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",
+       "    </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</td>\n",
+       "      <td>unknown</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",
+       "      <td>20-Jun</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>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",
+       "    </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>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",
+       "    </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</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",
+       "    </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",
+       "      <td>09-Mar</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",
+       "    </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>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",
+       "    </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>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",
+       "    </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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">cancer_excl_lung_and_haem</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",
+       "    </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",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">haematological_cancer</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",
+       "    </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                                    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",
+       "\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",
+       "\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",
+       "\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",
+       "\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  "
       ]
      },
      "metadata": {},
@@ -5029,7 +5921,7 @@
     {
      "data": {
       "text/markdown": [
-       "## COVID vaccination rollout among **under 65s, not in other eligible groups shown** population up to 05 Mar 2021"
+       "## COVID vaccination rollout among **under 60s, not in other eligible groups shown** population up to 05 Mar 2021"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -5091,356 +5983,356 @@
        "    <tr>\n",
        "      <th>overall</th>\n",
        "      <th>overall</th>\n",
-       "      <td>12328</td>\n",
-       "      <td>11325</td>\n",
-       "      <td>1003</td>\n",
+       "      <td>14811</td>\n",
+       "      <td>13605</td>\n",
+       "      <td>1206</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">sex</th>\n",
        "      <th>F</th>\n",
-       "      <td>6272</td>\n",
-       "      <td>5761</td>\n",
-       "      <td>511</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>7630</td>\n",
+       "      <td>7014</td>\n",
+       "      <td>616</td>\n",
+       "      <td>8.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>M</th>\n",
-       "      <td>6062</td>\n",
-       "      <td>5558</td>\n",
-       "      <td>504</td>\n",
-       "      <td>9.1</td>\n",
+       "      <td>7182</td>\n",
+       "      <td>6594</td>\n",
+       "      <td>588</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"7\" valign=\"top\">ageband</th>\n",
        "      <th>16-29</th>\n",
-       "      <td>1568</td>\n",
-       "      <td>1428</td>\n",
+       "      <td>1771</td>\n",
+       "      <td>1631</td>\n",
        "      <td>140</td>\n",
-       "      <td>9.8</td>\n",
+       "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30-39</th>\n",
-       "      <td>1631</td>\n",
-       "      <td>1505</td>\n",
-       "      <td>126</td>\n",
-       "      <td>8.4</td>\n",
+       "      <td>1834</td>\n",
+       "      <td>1687</td>\n",
+       "      <td>147</td>\n",
+       "      <td>8.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>40-49</th>\n",
-       "      <td>1666</td>\n",
-       "      <td>1533</td>\n",
-       "      <td>133</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>1862</td>\n",
+       "      <td>1715</td>\n",
+       "      <td>147</td>\n",
+       "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50-59</th>\n",
-       "      <td>1666</td>\n",
-       "      <td>1540</td>\n",
-       "      <td>126</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>1918</td>\n",
+       "      <td>1778</td>\n",
+       "      <td>140</td>\n",
+       "      <td>7.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>60-69</th>\n",
-       "      <td>1680</td>\n",
-       "      <td>1547</td>\n",
-       "      <td>133</td>\n",
-       "      <td>8.6</td>\n",
+       "      <td>1876</td>\n",
+       "      <td>1715</td>\n",
+       "      <td>161</td>\n",
+       "      <td>9.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>70-79</th>\n",
-       "      <td>2716</td>\n",
-       "      <td>2492</td>\n",
-       "      <td>224</td>\n",
-       "      <td>9</td>\n",
+       "      <td>3689</td>\n",
+       "      <td>3367</td>\n",
+       "      <td>322</td>\n",
+       "      <td>9.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>80+</th>\n",
-       "      <td>1400</td>\n",
-       "      <td>1288</td>\n",
-       "      <td>112</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>1862</td>\n",
+       "      <td>1715</td>\n",
+       "      <td>147</td>\n",
+       "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">ethnicity_6_groups</th>\n",
        "      <th>Black</th>\n",
-       "      <td>1974</td>\n",
-       "      <td>1806</td>\n",
-       "      <td>168</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>2436</td>\n",
+       "      <td>2233</td>\n",
+       "      <td>203</td>\n",
+       "      <td>9.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mixed</th>\n",
-       "      <td>2142</td>\n",
-       "      <td>1960</td>\n",
-       "      <td>182</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>2548</td>\n",
+       "      <td>2345</td>\n",
+       "      <td>203</td>\n",
+       "      <td>8.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>2163</td>\n",
-       "      <td>2009</td>\n",
-       "      <td>154</td>\n",
-       "      <td>7.7</td>\n",
+       "      <td>2527</td>\n",
+       "      <td>2345</td>\n",
+       "      <td>182</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>South Asian</th>\n",
-       "      <td>2128</td>\n",
-       "      <td>1967</td>\n",
-       "      <td>161</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>2562</td>\n",
+       "      <td>2352</td>\n",
+       "      <td>210</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>1834</td>\n",
-       "      <td>1666</td>\n",
-       "      <td>168</td>\n",
-       "      <td>10.1</td>\n",
+       "      <td>2212</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>196</td>\n",
+       "      <td>9.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White</th>\n",
-       "      <td>2093</td>\n",
-       "      <td>1911</td>\n",
-       "      <td>182</td>\n",
-       "      <td>9.5</td>\n",
+       "      <td>2513</td>\n",
+       "      <td>2303</td>\n",
+       "      <td>210</td>\n",
+       "      <td>9.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"17\" valign=\"top\">ethnicity_16_groups</th>\n",
        "      <th>African</th>\n",
-       "      <td>644</td>\n",
-       "      <td>581</td>\n",
-       "      <td>63</td>\n",
-       "      <td>10.8</td>\n",
+       "      <td>819</td>\n",
+       "      <td>742</td>\n",
+       "      <td>77</td>\n",
+       "      <td>10.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Bangladeshi or British Bangladeshi</th>\n",
-       "      <td>644</td>\n",
-       "      <td>602</td>\n",
-       "      <td>42</td>\n",
-       "      <td>7</td>\n",
+       "      <td>735</td>\n",
+       "      <td>686</td>\n",
+       "      <td>49</td>\n",
+       "      <td>7.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Caribbean</th>\n",
-       "      <td>679</td>\n",
-       "      <td>637</td>\n",
-       "      <td>42</td>\n",
-       "      <td>6.6</td>\n",
+       "      <td>812</td>\n",
+       "      <td>756</td>\n",
+       "      <td>56</td>\n",
+       "      <td>7.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Chinese</th>\n",
-       "      <td>644</td>\n",
-       "      <td>595</td>\n",
-       "      <td>49</td>\n",
-       "      <td>8.2</td>\n",
+       "      <td>798</td>\n",
+       "      <td>735</td>\n",
+       "      <td>63</td>\n",
+       "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other</th>\n",
-       "      <td>623</td>\n",
-       "      <td>574</td>\n",
-       "      <td>49</td>\n",
-       "      <td>8.5</td>\n",
+       "      <td>735</td>\n",
+       "      <td>679</td>\n",
+       "      <td>56</td>\n",
+       "      <td>8.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Asian</th>\n",
-       "      <td>693</td>\n",
-       "      <td>630</td>\n",
-       "      <td>63</td>\n",
-       "      <td>10</td>\n",
+       "      <td>819</td>\n",
+       "      <td>749</td>\n",
+       "      <td>70</td>\n",
+       "      <td>9.3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>British or Mixed British</th>\n",
-       "      <td>679</td>\n",
-       "      <td>609</td>\n",
-       "      <td>70</td>\n",
-       "      <td>11.5</td>\n",
+       "      <td>770</td>\n",
+       "      <td>693</td>\n",
+       "      <td>77</td>\n",
+       "      <td>11.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Indian or British Indian</th>\n",
-       "      <td>644</td>\n",
-       "      <td>602</td>\n",
-       "      <td>42</td>\n",
-       "      <td>7</td>\n",
+       "      <td>770</td>\n",
+       "      <td>714</td>\n",
+       "      <td>56</td>\n",
+       "      <td>7.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Irish</th>\n",
-       "      <td>637</td>\n",
-       "      <td>581</td>\n",
-       "      <td>56</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>763</td>\n",
+       "      <td>700</td>\n",
+       "      <td>63</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other Black</th>\n",
-       "      <td>693</td>\n",
-       "      <td>637</td>\n",
-       "      <td>56</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>854</td>\n",
+       "      <td>791</td>\n",
+       "      <td>63</td>\n",
+       "      <td>8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other White</th>\n",
-       "      <td>630</td>\n",
-       "      <td>574</td>\n",
-       "      <td>56</td>\n",
-       "      <td>9.8</td>\n",
+       "      <td>770</td>\n",
+       "      <td>707</td>\n",
+       "      <td>63</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Other mixed</th>\n",
-       "      <td>637</td>\n",
-       "      <td>581</td>\n",
-       "      <td>56</td>\n",
-       "      <td>9.6</td>\n",
+       "      <td>777</td>\n",
+       "      <td>707</td>\n",
+       "      <td>70</td>\n",
+       "      <td>9.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Pakistani or British Pakistani</th>\n",
-       "      <td>658</td>\n",
-       "      <td>602</td>\n",
-       "      <td>56</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>791</td>\n",
+       "      <td>728</td>\n",
+       "      <td>63</td>\n",
+       "      <td>8.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>1869</td>\n",
-       "      <td>1715</td>\n",
-       "      <td>154</td>\n",
-       "      <td>9</td>\n",
+       "      <td>2254</td>\n",
+       "      <td>2065</td>\n",
+       "      <td>189</td>\n",
+       "      <td>9.2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Asian</th>\n",
-       "      <td>665</td>\n",
-       "      <td>616</td>\n",
-       "      <td>49</td>\n",
-       "      <td>8</td>\n",
+       "      <td>798</td>\n",
+       "      <td>728</td>\n",
+       "      <td>70</td>\n",
+       "      <td>9.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black African</th>\n",
-       "      <td>637</td>\n",
-       "      <td>588</td>\n",
-       "      <td>49</td>\n",
-       "      <td>8.3</td>\n",
+       "      <td>749</td>\n",
+       "      <td>693</td>\n",
+       "      <td>56</td>\n",
+       "      <td>8.1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>White + Black Caribbean</th>\n",
-       "      <td>658</td>\n",
-       "      <td>602</td>\n",
-       "      <td>56</td>\n",
-       "      <td>9.3</td>\n",
+       "      <td>791</td>\n",
+       "      <td>721</td>\n",
+       "      <td>70</td>\n",
+       "      <td>9.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"6\" valign=\"top\">imd_categories</th>\n",
        "      <th>1 Most deprived</th>\n",
-       "      <td>2296</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>175</td>\n",
-       "      <td>8.3</td>\n",
+       "      <td>2793</td>\n",
+       "      <td>2576</td>\n",
+       "      <td>217</td>\n",
+       "      <td>8.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2366</td>\n",
-       "      <td>2177</td>\n",
-       "      <td>189</td>\n",
-       "      <td>8.7</td>\n",
+       "      <td>2863</td>\n",
+       "      <td>2618</td>\n",
+       "      <td>245</td>\n",
+       "      <td>9.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2401</td>\n",
-       "      <td>2198</td>\n",
-       "      <td>203</td>\n",
-       "      <td>9.2</td>\n",
+       "      <td>2856</td>\n",
+       "      <td>2632</td>\n",
+       "      <td>224</td>\n",
+       "      <td>8.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2345</td>\n",
-       "      <td>2156</td>\n",
-       "      <td>189</td>\n",
+       "      <td>2772</td>\n",
+       "      <td>2548</td>\n",
+       "      <td>224</td>\n",
        "      <td>8.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 Least deprived</th>\n",
-       "      <td>2331</td>\n",
-       "      <td>2121</td>\n",
-       "      <td>210</td>\n",
-       "      <td>9.9</td>\n",
+       "      <td>2828</td>\n",
+       "      <td>2583</td>\n",
+       "      <td>245</td>\n",
+       "      <td>9.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unknown</th>\n",
-       "      <td>588</td>\n",
-       "      <td>553</td>\n",
-       "      <td>35</td>\n",
-       "      <td>6.3</td>\n",
+       "      <td>707</td>\n",
+       "      <td>651</td>\n",
+       "      <td>56</td>\n",
+       "      <td>8.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">bmi</th>\n",
        "      <th>30+</th>\n",
-       "      <td>3661</td>\n",
-       "      <td>3360</td>\n",
-       "      <td>301</td>\n",
-       "      <td>9</td>\n",
+       "      <td>4375</td>\n",
+       "      <td>4018</td>\n",
+       "      <td>357</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>under 30</th>\n",
-       "      <td>8666</td>\n",
-       "      <td>7966</td>\n",
-       "      <td>700</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>10437</td>\n",
+       "      <td>9583</td>\n",
+       "      <td>854</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">chronic_cardiac_disease</th>\n",
        "      <th>no</th>\n",
-       "      <td>12222</td>\n",
-       "      <td>11235</td>\n",
-       "      <td>987</td>\n",
-       "      <td>8.8</td>\n",
+       "      <td>14686</td>\n",
+       "      <td>13489</td>\n",
+       "      <td>1197</td>\n",
+       "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>105</td>\n",
-       "      <td>91</td>\n",
-       "      <td>14</td>\n",
-       "      <td>15.4</td>\n",
+       "      <td>126</td>\n",
+       "      <td>119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">current_copd</th>\n",
        "      <th>no</th>\n",
-       "      <td>12194</td>\n",
-       "      <td>11200</td>\n",
-       "      <td>994</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>14644</td>\n",
+       "      <td>13454</td>\n",
+       "      <td>1190</td>\n",
+       "      <td>8.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>133</td>\n",
-       "      <td>126</td>\n",
-       "      <td>7</td>\n",
-       "      <td>5.6</td>\n",
+       "      <td>161</td>\n",
+       "      <td>147</td>\n",
+       "      <td>14</td>\n",
+       "      <td>9.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">dmards</th>\n",
        "      <th>no</th>\n",
-       "      <td>12201</td>\n",
-       "      <td>11207</td>\n",
-       "      <td>994</td>\n",
-       "      <td>8.9</td>\n",
+       "      <td>14651</td>\n",
+       "      <td>13461</td>\n",
+       "      <td>1190</td>\n",
+       "      <td>8.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>126</td>\n",
-       "      <td>119</td>\n",
+       "      <td>154</td>\n",
+       "      <td>147</td>\n",
        "      <td>7</td>\n",
-       "      <td>5.9</td>\n",
+       "      <td>4.8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th rowspan=\"2\" valign=\"top\">ssri</th>\n",
        "      <th>no</th>\n",
-       "      <td>12222</td>\n",
-       "      <td>11228</td>\n",
-       "      <td>994</td>\n",
+       "      <td>14665</td>\n",
+       "      <td>13468</td>\n",
+       "      <td>1197</td>\n",
        "      <td>8.9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yes</th>\n",
-       "      <td>105</td>\n",
-       "      <td>98</td>\n",
-       "      <td>7</td>\n",
-       "      <td>7.1</td>\n",
+       "      <td>147</td>\n",
+       "      <td>133</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10.5</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -5449,211 +6341,211 @@
       "text/plain": [
        "                                                             vaccinated  \\\n",
        "category                group                                             \n",
-       "overall                 overall                                   12328   \n",
-       "sex                     F                                          6272   \n",
-       "                        M                                          6062   \n",
-       "ageband                 16-29                                      1568   \n",
-       "                        30-39                                      1631   \n",
-       "                        40-49                                      1666   \n",
-       "                        50-59                                      1666   \n",
-       "                        60-69                                      1680   \n",
-       "                        70-79                                      2716   \n",
-       "                        80+                                        1400   \n",
-       "ethnicity_6_groups      Black                                      1974   \n",
-       "                        Mixed                                      2142   \n",
-       "                        Other                                      2163   \n",
-       "                        South Asian                                2128   \n",
-       "                        Unknown                                    1834   \n",
-       "                        White                                      2093   \n",
-       "ethnicity_16_groups      African                                    644   \n",
-       "                         Bangladeshi or British Bangladeshi         644   \n",
-       "                         Caribbean                                  679   \n",
-       "                         Chinese                                    644   \n",
-       "                         Other                                      623   \n",
-       "                         Other Asian                                693   \n",
-       "                        British or Mixed British                    679   \n",
-       "                        Indian or British Indian                    644   \n",
-       "                        Irish                                       637   \n",
-       "                        Other Black                                 693   \n",
-       "                        Other White                                 630   \n",
-       "                        Other mixed                                 637   \n",
-       "                        Pakistani or British Pakistani              658   \n",
-       "                        Unknown                                    1869   \n",
-       "                        White + Asian                               665   \n",
-       "                        White + Black African                       637   \n",
-       "                        White + Black Caribbean                     658   \n",
-       "imd_categories          1 Most deprived                            2296   \n",
-       "                        2                                          2366   \n",
-       "                        3                                          2401   \n",
-       "                        4                                          2345   \n",
-       "                        5 Least deprived                           2331   \n",
-       "                        Unknown                                     588   \n",
-       "bmi                     30+                                        3661   \n",
-       "                        under 30                                   8666   \n",
-       "chronic_cardiac_disease no                                        12222   \n",
-       "                        yes                                         105   \n",
-       "current_copd            no                                        12194   \n",
-       "                        yes                                         133   \n",
-       "dmards                  no                                        12201   \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",
+       "                         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",
-       "ssri                    no                                        12222   \n",
-       "                        yes                                         105   \n",
+       "current_copd            no                                        14644   \n",
+       "                        yes                                         161   \n",
+       "dmards                  no                                        14651   \n",
+       "                        yes                                         154   \n",
+       "ssri                    no                                        14665   \n",
+       "                        yes                                         147   \n",
        "\n",
        "                                                            vaccinated 7d previous  \\\n",
        "category                group                                                        \n",
-       "overall                 overall                                              11325   \n",
-       "sex                     F                                                     5761   \n",
-       "                        M                                                     5558   \n",
-       "ageband                 16-29                                                 1428   \n",
-       "                        30-39                                                 1505   \n",
-       "                        40-49                                                 1533   \n",
-       "                        50-59                                                 1540   \n",
-       "                        60-69                                                 1547   \n",
-       "                        70-79                                                 2492   \n",
-       "                        80+                                                   1288   \n",
-       "ethnicity_6_groups      Black                                                 1806   \n",
-       "                        Mixed                                                 1960   \n",
-       "                        Other                                                 2009   \n",
-       "                        South Asian                                           1967   \n",
-       "                        Unknown                                               1666   \n",
-       "                        White                                                 1911   \n",
-       "ethnicity_16_groups      African                                               581   \n",
-       "                         Bangladeshi or British Bangladeshi                    602   \n",
-       "                         Caribbean                                             637   \n",
-       "                         Chinese                                               595   \n",
-       "                         Other                                                 574   \n",
-       "                         Other Asian                                           630   \n",
-       "                        British or Mixed British                               609   \n",
-       "                        Indian or British Indian                               602   \n",
-       "                        Irish                                                  581   \n",
-       "                        Other Black                                            637   \n",
-       "                        Other White                                            574   \n",
-       "                        Other mixed                                            581   \n",
-       "                        Pakistani or British Pakistani                         602   \n",
-       "                        Unknown                                               1715   \n",
-       "                        White + Asian                                          616   \n",
-       "                        White + Black African                                  588   \n",
-       "                        White + Black Caribbean                                602   \n",
-       "imd_categories          1 Most deprived                                       2121   \n",
-       "                        2                                                     2177   \n",
-       "                        3                                                     2198   \n",
-       "                        4                                                     2156   \n",
-       "                        5 Least deprived                                      2121   \n",
-       "                        Unknown                                                553   \n",
-       "bmi                     30+                                                   3360   \n",
-       "                        under 30                                              7966   \n",
-       "chronic_cardiac_disease no                                                   11235   \n",
-       "                        yes                                                     91   \n",
-       "current_copd            no                                                   11200   \n",
-       "                        yes                                                    126   \n",
-       "dmards                  no                                                   11207   \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",
-       "ssri                    no                                                   11228   \n",
-       "                        yes                                                     98   \n",
+       "current_copd            no                                                   13454   \n",
+       "                        yes                                                    147   \n",
+       "dmards                  no                                                   13461   \n",
+       "                        yes                                                    147   \n",
+       "ssri                    no                                                   13468   \n",
+       "                        yes                                                    133   \n",
        "\n",
        "                                                            Uptake over last 7d  \\\n",
        "category                group                                                     \n",
-       "overall                 overall                                            1003   \n",
-       "sex                     F                                                   511   \n",
-       "                        M                                                   504   \n",
+       "overall                 overall                                            1206   \n",
+       "sex                     F                                                   616   \n",
+       "                        M                                                   588   \n",
        "ageband                 16-29                                               140   \n",
-       "                        30-39                                               126   \n",
-       "                        40-49                                               133   \n",
-       "                        50-59                                               126   \n",
-       "                        60-69                                               133   \n",
-       "                        70-79                                               224   \n",
-       "                        80+                                                 112   \n",
-       "ethnicity_6_groups      Black                                               168   \n",
-       "                        Mixed                                               182   \n",
-       "                        Other                                               154   \n",
-       "                        South Asian                                         161   \n",
-       "                        Unknown                                             168   \n",
-       "                        White                                               182   \n",
-       "ethnicity_16_groups      African                                             63   \n",
-       "                         Bangladeshi or British Bangladeshi                  42   \n",
-       "                         Caribbean                                           42   \n",
-       "                         Chinese                                             49   \n",
-       "                         Other                                               49   \n",
-       "                         Other Asian                                         63   \n",
-       "                        British or Mixed British                             70   \n",
-       "                        Indian or British Indian                             42   \n",
-       "                        Irish                                                56   \n",
-       "                        Other Black                                          56   \n",
-       "                        Other White                                          56   \n",
-       "                        Other mixed                                          56   \n",
-       "                        Pakistani or British Pakistani                       56   \n",
-       "                        Unknown                                             154   \n",
-       "                        White + Asian                                        49   \n",
-       "                        White + Black African                                49   \n",
-       "                        White + Black Caribbean                              56   \n",
-       "imd_categories          1 Most deprived                                     175   \n",
-       "                        2                                                   189   \n",
-       "                        3                                                   203   \n",
-       "                        4                                                   189   \n",
-       "                        5 Least deprived                                    210   \n",
-       "                        Unknown                                              35   \n",
-       "bmi                     30+                                                 301   \n",
-       "                        under 30                                            700   \n",
-       "chronic_cardiac_disease no                                                  987   \n",
-       "                        yes                                                  14   \n",
-       "current_copd            no                                                  994   \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",
+       "                         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",
        "                        yes                                                   7   \n",
-       "dmards                  no                                                  994   \n",
-       "                        yes                                                   7   \n",
-       "ssri                    no                                                  994   \n",
+       "current_copd            no                                                 1190   \n",
+       "                        yes                                                  14   \n",
+       "dmards                  no                                                 1190   \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                                                      8.9  \n",
-       "                        M                                                      9.1  \n",
-       "ageband                 16-29                                                  9.8  \n",
-       "                        30-39                                                  8.4  \n",
-       "                        40-49                                                  8.7  \n",
-       "                        50-59                                                  8.2  \n",
-       "                        60-69                                                  8.6  \n",
-       "                        70-79                                                    9  \n",
-       "                        80+                                                    8.7  \n",
-       "ethnicity_6_groups      Black                                                  9.3  \n",
-       "                        Mixed                                                  9.3  \n",
-       "                        Other                                                  7.7  \n",
-       "                        South Asian                                            8.2  \n",
-       "                        Unknown                                               10.1  \n",
-       "                        White                                                  9.5  \n",
-       "ethnicity_16_groups      African                                              10.8  \n",
-       "                         Bangladeshi or British Bangladeshi                      7  \n",
-       "                         Caribbean                                             6.6  \n",
-       "                         Chinese                                               8.2  \n",
-       "                         Other                                                 8.5  \n",
-       "                         Other Asian                                            10  \n",
-       "                        British or Mixed British                              11.5  \n",
-       "                        Indian or British Indian                                 7  \n",
-       "                        Irish                                                  9.6  \n",
-       "                        Other Black                                            8.8  \n",
-       "                        Other White                                            9.8  \n",
-       "                        Other mixed                                            9.6  \n",
-       "                        Pakistani or British Pakistani                         9.3  \n",
-       "                        Unknown                                                  9  \n",
-       "                        White + Asian                                            8  \n",
-       "                        White + Black African                                  8.3  \n",
-       "                        White + Black Caribbean                                9.3  \n",
-       "imd_categories          1 Most deprived                                        8.3  \n",
-       "                        2                                                      8.7  \n",
-       "                        3                                                      9.2  \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                                       9.9  \n",
-       "                        Unknown                                                6.3  \n",
-       "bmi                     30+                                                      9  \n",
-       "                        under 30                                               8.8  \n",
-       "chronic_cardiac_disease no                                                     8.8  \n",
-       "                        yes                                                   15.4  \n",
-       "current_copd            no                                                     8.9  \n",
-       "                        yes                                                    5.6  \n",
-       "dmards                  no                                                     8.9  \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                                                    7.1  "
+       "                        yes                                                   10.5  "
       ]
      },
      "metadata": {},
@@ -5714,7 +6606,7 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5738,7 +6630,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5762,7 +6654,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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1YtCgQZU+Q+7Xrx/9+vWjoKCAjz/+uML2+Ph4evfuTU5OTtmMa0fDhg0jOjqas2fPsmrVqgrbr7nmGrp160ZaWhqrV6+usH306NF06tSJEydO8O2331bYnpCQQHh4OEePHmXjxo0VticmJhIaGsrBgwedTuIaM2YMLVu2ZM+ePTi7e3HnnXcSGBjIjh072LFjR4XtkyZNwsfHh59//tnpc+QpU6YAsHnz5grP8b29vctywzds2MCvv/562faAgICyGflr167l5MmTl20PCQkpm2W/evVq0tIu71TYtm3bshnqX3zxRYW0tvDwcBISEgD4z3/+Uzar3i4yMpLrr78esKYEFhZeXnmra9euZXMZ3n///bJJgXY9evRg+PDhABX+3oH83ZO/e1X/3Tu0NZ3/fvs5fuWmk7Rv0xHv1tZHWRu2fUWpxUx4QEtyFlvrN3j6715TMmTIkMKTJ0/6LVy4sM31119f6e31Tp06mZ988snTiYmJ0UlJSYfbt29fmpOT47V9+/ag8ePHd7fvd/HiRQWQkpIS9N///vcIwLRp07Kef/75SM9/mtpRZUBXSvkDicAIoANQCOwBvtRay4wiIYRwIritP31Gh7PlSBbbj58DoEVACQVXWNM81ZneWEpL4VSW9Q8QvO8iobutWR2/bj5Mh9YB3N6vY/18ACMMXEl7UkJCwvlnn32205o1aw5mZGRUGs92794d0LJlS/OpU6d8wJqyGhwcbLb3VC/Py8ur4T+LdsLlM3Sl1FyswXw9sA3IAPyBHsB1tteztNa7PDlIeYYuhGhMVr5izYAZM2sAE97cwr4zucRGWC/Xj/laey1EXfyjy3MkrP+ANi38uO3tv1d7HE35GXpBQcH2I0eO+Hz44Yetn3766YxVq1YFv/LKK+3LP0Nft25d4O9///uo1atX/3LttddGf/3114diYmIu9u/fP+YPf/hD+v3333/OYrHw008/BQwbNqxw1KhRV4wbNy57xowZ2S+++GLY3LlzI5vKM/StWutnK9n2D6VUO6BzTQYnhBBNXWxECMumWbNmpq62BvZFCcNcHULq929AsceH1qh179695Omnn86obHthYaGaPn161DvvvHMsKiqq5K9//euJ++67L2rLli2HPvzww6MPPvhglxdffDHCbDarMWPGZA8bNqzw9ddfPz5x4sRu8+bNC09ISDhfl5+nplwGdK31l47LSqlArXWBw/YMrFftQgghRJ1wdsWcmJh4ITEx8QLAww8/nAVkARw8eLDstvqkSZNybCltxMTEXNy0adMv5c8TExNzcceOHQfsy/Pnz2807RoNFZZRSg1XSu0DDtiW45RShvqNKqVMSqntSqlVtuWuSqmflFKHlVLLlFK+1R69EEIIIQDjs9z/CdwIfA6gtd6plLrG4LGPAPsB+3zPF4F/aq0/UkotAB4A3jA+ZCGEqH+OBWLKcywYc8w31/ba+r9AKR4jPMVw2prW+kS5mtqlVR2jlIoEbgH+AjymrCcYBdiTLt8D5iABXQjRyHx19KtqBefoNtHc3O1mAHatXc3+H9Y73a+oJJdWykSXmg5UNBtGA/oJpdRwQCulfLh01V2VecCfgGDbclvgvNbanvh7EnCak6GUegh4CKBzZ5l3J4RoeKLbRLMoYVGF9Sv3Wme5P5FwNxPetObyO5sEt/+H9WQe+5WwqK4VtgnhLqMBfTrwL6zB9xSwBvgfVwcopRKBDK31NqXUSHcHprV+C3gLrGlr7h4vhBC1aVHSbk7vulRoJlKNAuAva9dX2Deo0EJegBcflUtZcyYsqisTnn3BupC8CHZbmwulfn8afFtUepwQ5RkN6EprPcnNc18F3KqUuhlrvnoI1l8KWimlvG1X6ZFYf0EQQogG7fSuLALySylsYapy37wALzJaW/eLjQjhNqPFYXYvh7TdEN6nJkMVzZTRgP6DUuoYsAxYobWuMjdPa/1/wP8B2K7Q/6i1nqSU+gQYB3wE3Ad8Vo1xCyFEnStsYeKpv48ErE1WAKe33F05t+xjcm0lfYtKrBPmUu+517ox7TTQFsLbUnQ+E/+YbrUy7qboyJEjPg899FDnw4cPB1gsFq6//vqcN95442RKSor/iRMnfCdMmJAD8Nhjj3UICgoqfe6555wX129CDKWtaa17AE8DvYAUpdQqpdTkar7n41gnyB3G+kz9nWqeRwghGp3cVasoOnCgyv38Y2IISUysgxE1PhaLhdtvv/2KW2+99XxqauqeX3/9dU9+fr7XI4880jE5OTnwyy+/bFlb71W+10ND5s4s963AVqXUX4F/YJ2h/r7BY9djLR+L1vooMNjdgQohRFPhHxNDlyVJ+M99AoAu9mfoi26x/pyaVE8jaxy++OKLYD8/P8sjjzySBdamPQsWLDgRFRXV19vbW2utiYmJCZo1a9YZgP379wcMHjw4+vTp077Tp09Pt1eXe/3119u88cYb7UtKStSAAQPyk5KSUr29vQkMDOw/adKkzI0bN4bMnz//+I033phXn5/XKEMBXSkVAowBJgLdgZVIUBZCNHKucsnLs0+Cs99ql3xy+H8//L9Oh88drtX2qVe0vqLg+aued9n0Zffu3QFxcXEFjuvatGlj6dix48VJkyadPXTokH9SUtJxgMceeyzg8OHD/ps3bz54/vx5U8+ePXvPnj07c+/evX7Lly9vk5ycfMDPz09Pnjy584IFC9rOnDkzq7Cw0GvIkCH5CxcuPOl8BA2T0Sv0ncCnwHNa64r9FIUQohGqbi45XJ5PLhq23/zmN+cDAgJ0QECAuU2bNiUnT570Xr16dfCePXsC4+LiegIUFRV5tWvXzgxgMpmYMmXKufodtfuMBvRu2lVbNiGEaKQqyyUvz56e5mxfVwViyrNPhPOf+0Sjz0Gv6kraU3r37l346aeftnZcl52d7XXmzBlfb2/vCrHKz8+vbJ3JZMJsNiuttRo/fnzWa6+9ViHTytfX1+LtbfiJdIPhcsRKqXla60eBz5VSFb4krfWtHhuZEEJ4wAc/HeezHdb/h9vLstqLv7hyRbGZQD/n/8t0WSDmQhrkZV5avnjR+vPMbsL8oKfafenZuaSsGXLrrbdeePrpp73+/e9/t505c2aW2WxmxowZncaPH382PDy8ZOvWrVUm8CckJOTecccdVzz55JPpHTt2NKenp5tycnJMPXr0uFgXn8ETqvoVZIntZ/Ub8gohRAPy2Y5TVRZ7cSbQz5vQoMp7SV1WIMbRolsuC9SpH1hbiXf5bYeK+4b3gT7j3BpXc+Tl5cWnn356+KGHHury8ssvR1gsFkaNGpUzf/78U7m5uV5///vfI2JiYmLtk+KcGThwYNHTTz99avTo0T0sFgs+Pj56/vz5xxtzQFdG7qQrpR7RWv+rqnWeEh8fr5OTk+virYQQTdwjf9lEu3OlxEaEcDDbmj4W3SbG6b7mzEzMWdbqcLlebQixZDO8aHWF/dbbbqOP9HHyS0LabutPW0AvOnCgbJa7pymltmmt42vznDt37jwWFxd3tjbPKYzbuXNnaFxcXJSzbYby0LEWgClvSnUHJIQQ9aXduVKCCi2G9jVnZWEpsE6mDrFk09F8tMbvL/nlwlOqeoZ+F9bOaF2VUp87bAoGsj05MCGE8JS8AC/GzBrA1NWvAtYmKs6k3jMPvKDLQtdX0xXyyR1JbrmoI1U9Q98MnAFCgVcc1l8AdnlqUEII4Y7q5pNLLrloSlwGdK11KpAKVOz7J4QQDURt9CYXorEzWiluKPAq0BPwBUxAvtbavWmiQgjhIZ7IJ3fMGXelseeTi6bBaOb8v7GWff0EiAfuBXp4alBCCFGeY/54eXWST16eQ355hXxyR5JbLuqIO81ZDiulTFrrUmCRUmo7tvaoQgjhadXNHy/PnXxye1vTSie7GQnWklte6x5//PHwFStWtPXy8tJeXl68/vrrqaNGjcp39zyrVq0K9vPzs9xwww35AGPHjo1KTEzMmTp1apVlX5csWdLq3nvv7Z6SkrK3f//+Ra72vfbaa69YsWLFr6GhoaXujtEdRgN6gVLKF9ihlHoJ60Q5oylvQghRK2IjQlg2reKUnqmrrUF+UULV031WvpJS9tqxNzlU7E9uzxmvVHgfmPqlobGL2rF27doWX3/9davdu3fvCwgI0GfOnPEuLi5W1TnXd999FxwUFFRqD+ju+Oijj9oMGDAgLykpqU3//v1Pu9p3w4YNh6szPncZDcr3YH1uPhPIBzoBYz01KCGEqAtV9SaXnPGG59SpUz5t2rQxBwQEaICIiAhzVFRUCcBnn30W3LNnz9gePXrEjh8/PqqwsFABdOzYsc+ZM2e8ATZu3Bg4ePDg6IMHD/omJSWFLViwoH1MTEzs6tWrgwA2bNgQ1L9//5jIyMg+ixYtau1sDDk5OV4///xz0KJFi46tXLmyjX19amqqT3x8fHRMTEzslVde2ct+Tsf3v/7667v36tWr5xVXXNHr73//e6j92MDAwP5/+MMfOkZHR8fGxcXFnDhxwu1i8oYOsM12BygE5rr7JkIIUVPhZ820O1d62RW2XXT2DQCs3FtxW3lnT+YRGhlUtuxYtc1lPrmo4PSTT3Uq/uWXWm2f6nfllQUd/vqXSpu+3H777bl/+9vfOkRFRfW++uqrc++6667sW265Ja+goEBNmzat65o1aw727du3eMyYMVEvv/xy2DPPPJPh7DzR0dEX77333sygoKDS5557Lh1g4cKFoenp6T7JyckHduzY4T9mzJgrnN1+/+CDD1qNHDkyp2/fvsWtW7c2b9q0KXDEiBEF7777bpvRo0fnvPjii2lms5kLFy5UuGheunTpsfbt25fm5eWp/v37x06ePPlceHh4aWFhodewYcPyXn311VPTp0+PfPXVV8NeeumlSkvXOlNVYZndQKW1YbXWfd15MyFE8+ROnnhlIs+PIrAwlIPZFe9uFpgLCfQOMHSe0MggegxuX6OxiPrTsmVLy549e/atXr06+Ntvvw2+7777uj/zzDMnBw0aVBAZGVnct2/fYoApU6Zkvfbaa+0ApwG9Mrfeeut5k8nEwIEDi7Kysnyc7fPxxx+3efjhhzMAxo4dm71kyZI2I0aMKBg6dGj+tGnTokpKSrzGjRt3bvjw4YXlj33xxRfbf/nll60A0tLSfPbu3esfHh6e7+PjoydOnJgDMHDgwPy1a9e6PVmkqit0udckhKixmvQdd5QdeJaTI75zuu3mbjczpseAGp1fuMfVlbQneXt7k5iYeCExMfFC3759C5csWdJ20KBBBZXtbzKZtMViLfdbWFjo8lGzv79/2UWss14n6enpph9//DH44MGDATNnzqS0tFQppbTFYjl500035W3cuPHgihUrWt5///1dZ86cmT5z5sws+7GrVq0K3rBhQ3BycvKB4OBgy+DBg6Pt4/H29tZeXl5ln89sNrs9L8BIYRkhhKgxo3nilXGVPy6aj507d/p5eXnRp0+fYoDt27cHREZGXoyLiys6deqU7549e/x69+5dnJSU1HbEiBEXACIjIy/+8MMPgXfeeWfuxx9/XPZcPDg4uDQ3N9fkzvsvWbKk9ZgxY7I/+OCDsvg4aNCg6K+//jqoe/fuF7t163Zx1qxZZ4uLi1VKSkogUBbQz58/b2rZsmVpcHCwZfv27f47d+6sss2rO4wWlrnApVvvvoAPUlhGCFENrvLJXXGVP15B8iLYvdzppl0nYL/trn1RvrVTpv90a/545gUIC8Z5Pnl5kl9eL3Jzc00PP/xw59zcXJPJZNJRUVHF7733XmpgYKBesGDBsfHjx3cvLS0lLi6u4I9//GMmwDPPPHN6+vTpUc8991zp8OHDL9jPNXbs2PPjxo3r/t///rfVvHnzjht5/08++aTN7Nmz0xzX3Xbbbefef//9NkOHDs2fP39+uLe3tw4MDCxdunTpr477jR07Nuett94K69atW69u3boVxcXFuT273hVD7VMvO0ApBdwGDNVauy6fVEukfaoQjdvU1VMB69X1hDe3VCufvO8vxYQG+TJtzvCqd3aRI77sp0uBuyjDFtDbXcpL79kB+nYyOKg+4yB+qsGd6560T216XLVPdXtavLb+BvCpUupZoE4CunJe1+QAACAASURBVBCiaaksn9wVZ7PbXaosR/z4E4RFwIRnX7hUOGaBdEITjZ/RW+53OCx6YS3/6rIyjhBC1JXyBWJIs91T/+7eCvs6Fo+psnCMEI2I0Sv03zq8NgPHsN52F0KIemcvEONucJbCMaIpMVpYpuE+JBJCCC4vEFM2qW1qxVvpUjxGNFVGb7l3Bf4ARDkeo7W+1TPDEkLUh9ooAONM6d5gYrOHsnJvCn3PFAPuPxMvX+FNCHE5o7fcPwXeAb4ALJ4bjhCiPtVWAZjyYrOHEpLXDtpUvW9lpMKbEK4ZDehFWuv5Hh2JEKJBMFoAxp188tLiYs75wIagYvYFFRMbEcJT0wxUdSufT37Y9qc8+yQ4+612yRFv0g4ePOibmJh45S+//LLXvu6xxx7r4FiXvbz58+e3TU5ObpGUlGQo37wxMhrQ/2VLU1sDFNtXaq3dzCMRQjQV1e1PHhsRwm39OhrbeffySoPzZQVigq1Nq/x/sm/tA1lhMLdiZm3msV8Ji+rq1piFaAyMBvQ+WFuojuLSLXdtWxZCNFNG88ntz8sNXZWXV0k++f65T5BZbAvO520tUCOqnuUeFtWVnleNdH8colEYPHhw9MCBA/O+//77kAsXLpgWLFhwLCEhIc9xn48++qjlCy+8EPHf//738MyZMyODg4NLd+7c2SIzM9Pn+eefPzl16tRzFouF3//+95HfffddS6WUnj179pkHH3zw3D333NM5ISEhZ9KkSTk33HBD91atWpV+8sknx+bNm9f2yJEj/jNnzsy86aabrhw8eHBecnJyUPv27S9+/fXXh4OCgtyr4lYNRgP6eKCb1vqiJwcjhGh+KuSQO6oinzwYGHr4NEVHTltnucvM9Tr1bdL+Ttmn8mq1fWqbjkEFo+/tWaOmL2azWe3evXv/smXLWj733HMdEhISDtm3JSUltfrXv/7V/ptvvvklLCysFMBZy9SkpKRWu3fvDti/f//eM2fOeA8ePLjnb37zm7wRI0Zc2LhxY/CkSZNy0tLSfDMyMjTA999/H3zXXXdlAxw/ftz//fffPzp8+PDUm2++uVtSUlLrGTNmZNfkMxnhsuuMgz1AK08ORAjRPNlzyGtC8smbF2sF8srXjx8//hzA8OHD80+ePFlW1/eHH34IfuWVV8Idgzk4b5m6adOm4DvvvDPb29ubTp06mYcMGZL3/fffB95www15P/74Y9C2bdv8e/ToURgaGlqSmprqs23bthajRo3KA+jYsWOxvXVq//79C44dO+bnqe/CkdEr9FbAAaXUz1z+DF3S1oQQNXZZDrkjySdv0Gp6JV1d7du3N+fk5FzWJS07O9vUtWvXYrjUAtXb25vS0tKy6N+lS5fi48eP++3Zs8f/mmuuKWu3WlXLVEddu3Ytyc3NNX3xxRctR4wYcSE7O9s7KSmpdYsWLSytW7e2ZGRk4OvrW3YSk8mkq2rZWluMBvRnPToKIUSN1UYOuSdS1oSobS1btrS0a9eu5PPPPw++9dZbL6Snp5vWr1/fcvbs2RlLliwJrey4yMjIi6+88srJcePGdV+2bNmR+Pj4SkuYX3PNNRcWLlwYNnPmzKyMjAzvrVu3Bs2fP/8EwIABA/LffPPNdt98882hjIwM77vvvrv7Lbfccs4Tn9UdRivFbXD3xEopf2Aj4Gd7n+Va62dtRWo+AtoC24B75Nm8EDVXGznk0W2iubnbzbU4KiE847333vt1xowZnf/0pz91Anj88cdP9+rVq7iq4/r371+UlJR0dMKECd0///xzZ0mQANxzzz3nN2/eHNSzZ89eSik9d+7ck507dzYDXH311XmbNm0K6d27d3FxcfHFnJwc0zXXXHOhsnPVFUPtU6vTD93WZrWF1jpPKeUDfA88AjwG/Edr/ZFSagGwU2v9hqv3l/apQlTNsUVpeXs3neLQVqfpuWRcKOJsnvu/UxfY+pM7TVu7kAb5mWWLZwvCCA3MZEzsxxV2Tf3AOvGty90dKp7HnrLmZJb7Mtst9wlyy71S0j616alx+1StdbD9tWM/9CqO0YA9VcDH9see6na3bf17wBzAZUAXQtTMoa3plZZOPZt3sSw4uyPQz5vQIF/nG/Mz4WI++LYAIDQwkx6h+6s8p2NuuZXkkwthlEf7oSulTFhvq18BvAYcAc5rrc22XU4CTitMKKUeAh4C6Ny5s7vDFEKUExoZxJhZFfPAP3pzC+Dndn9ylxb9P+tPZ/3Iy7OnpE1Nujy3vAqSTy7E5TzaD11rXQr0U0q1AlYChnsbaq3fAt4C6y13o8cJIRq3sKiuchtdiGqok37oWuvzSql1wDCglVLK23aVHgkYKwYthPA4l0Ve3OGiIEx51eljLoSoyGP90JVSYUCJLZgHADcALwLrgHFYZ7rfB3zm7rmFEJ5hL/JSlwFWisIIUTuM3nJ/D3hEa33ettwaeEVrfb+LwyKA92zP0b2Aj7XWq5RS+4CPlFJ/BrZjbcsqhHDCndzy2sohr7TIiztcFIQRQniG0eo1fe3BHEBrfQ7o7+oArfUurXV/rXVfrXVvrfVztvVHtdaDtdZXaK3Ha62rzBsUormy55YbITnkorl44IEHOj333HPt7MtXX331lRMmTOhiX37wwQcj58yZ0/666667wtnxEyZM6LJt2zZ/gCeeeCLc8yOuG0afoXsppVrbAjlKqTZuHCuEqAGj/ckdle9V3veM9fdm64z2y1WnBSpQsVe5I+lHLjzo6quvzvvkk09aAxmlpaWcO3fOOy8vr6wU7M8//xwUFhZ2vrLjly1blmp/PX/+/IgXXnghzcNDrhNGr9BfAbYopZ5XSj0PbAZe8tywhBA1Ye9VboRb/ckd2XuVOxPeB/qMc/+cQhhw3XXX5aWkpAQBbNu2LSA6OrqwRYsWpZmZmabCwkJ15MgR//j4+IL8/HxTQkJCt65du/a69dZbu1os1u7fgwcPjt64cWPgjBkzOhYXF3vFxMTE3nrrrV0BXn/99TZ9+vTpGRMTE3v33Xd3MZvNLkbSsBidFJeklErmUv/zO7TW+zw3LCEEQOixK2l7IoqVe1PcOq7vmWL64kdsnrXJ09nSEkIjg6rXj9yVSqq4ubJr7Wr2/7De6TYpFtO4fP3GvE5nT6TWavvU0E5dCm78/aMum75ERUWVmEwm/csvv/hu2LChxdChQ/NPnTrl89133wW1bt3a3KNHj0JfX1+9f//+gB07dhyNiooqGThwYMw333wTdOONN5b1Rn/99ddPLV68uN2BAwf2AaSkpPgvX768TXJy8gE/Pz89efLkzgsWLGg7c+bMrNr8jJ7iMqArpYK01nkAtgBeIYg77iOEqF1tT0QRkNMG2tTsPKGRQfQY3L52BlVD+39YX2nglmIxwqiBAwfmrVu3rsWWLVuCZs+enX78+HHfH374oUXLli1LhwwZkgfQp0+f/O7du5cA9OrVq+DIkSOVlDa0Wr16dfCePXsC4+LiegIUFRV5tWvXrtFcold1hf6ZUmoH1tSybVrrfAClVDfgOuBOYCFQyYM0IURNFbbMZsysBMB4nri/7XZ7bLrDs/EdkPqW6+PqKmVNisc0DVVdSXvS8OHD8zZv3hx04MCBgEGDBhV269bt4rx589oHBQWVTpky5SyAn5+fYxtTzGaz80bqNlprNX78+KzXXnutUdZHcfkMXWs9GvgWmAbsVUrlKqWygPeBcOA+rbUEcyHqiD1P3FMkJ1w0Ftdcc03e2rVrW7Vq1arU29ub9u3bl+bm5pq2b98eNGrUqHyj5/H29tbFxcUKICEhIXfVqlWtT5065Q2Qnp5uOnTokMur+oakymfoWuuvgJo1WRaimamN3uQAncxXE+gdcNk6I3nif7LNZq/V+uxCNCCDBw8uPH/+vPcdd9xR9nw7JiamMD8/3xQREWH4NvmkSZMye/bsGdu7d++Czz///Nenn3761OjRo3tYLBZ8fHz0/Pnzj/fo0aNRtPiW1DMhPKA2epMDBHoH0CagbS2NSoimw9vbm7y8vO2O61asWHHM/joxMfFCYmJiWY/ypKSk4/bXW7duLSvu8MYbb5zCoQT5gw8+eO7BBx8856lxe5IEdCE8pDr54+WVn92efqGYrLzisivwylTILXeVM15dkmsuRINiNA9dCNEAZOUVk19c9d3ECrnlrnLGq0tyzYVoUKpKW3OZLKO1zq7d4QghqtLCz7t6z8arkTPuyq61q9n/5Xr48gm3jpNc80bPYrFYlJeXl7S1rmMWi0UBlsq2V3WFvg1Itv3MBA4Bv9heb6ulMQohGiF7Prm7JNe80duTmZnZ0hZcRB2xWCwqMzOzJbCnsn1cXqFrrbsCKKUWAittM95RSt0E3F6LYxWiSXGnwps5MxNzlvNCVLlebQixZJN6zzwAwjOPkxbWuVbHWhOST978mM3m36Wlpb2dlpbWG3lsW5cswB6z2fy7ynYwOiluqNb6QfuC1vq/Simp5S5EJdyp8GbOysJSUIBXYMUKmiGWbDqaj5Ytp4V1Znf0EG6qzcEK4YaBAwdmALfW9zhERUYD+mml1NNYC8oATAJOe2ZIQjQc1c0n72S+GhwqvLmSes888IIuC6vuHV7V7HYhRPNl9HbJXUAYsBL4j+31XZ4alBANhTv9yB1J/rgQoq4Z7baWDTyilGphr+cuRHNRnXzy8s/Oy/cndzTFVnf9T29uYXTBV1xVuK7S8/7xYimBviZY1NKt8UjOuBBNn6ErdKXUcKXUPmC/bTlOKfW6R0cmRBNitD/5VYXriCo5Wun2QF8ToUF+7g9AcsaFaPKMPkP/J3Aj8DmA1nqnUuoaj41KiCYoNiLEaf546vfWim7Lpg2zXXn3p1ct5osLIZoHw6VftdYnlLos7bC09ocjhHBl19rV7P9hfX0PA5ACMUI0NEYnxZ1QSg0HtFLKRyn1R2y334UQdae6xVw8QQrECNGwGL1Cnw78C+iItSvNGmCGpwYlRFMzcNd6+hz8qez2uqOiAwfwj4kxfC4p5iKEcMZoQI/WWk9yXKGUugr4ofaHJETDtXfTKQ5tTa9yv7Mn8wiNDCpb7nPwJ8Izj0NE7wr7+sfEEJKYWKvjFEI0P0YD+qvAAAPrhGgQqlsQprzyPc0PbU2vEKydCY0Mosfg9petSwvrTP8lVRePEUKI6qiq29owYDgQppR6zGFTCGDy5MCEqAl7QRjHYFwd0W2iubnbzZetC40MYsws+V1WCNGwVHWF7gsE2fYLdlifC0hSq2jQqlMQpioZF4o4m3eRj6oowVq+QEyn4vN4eSlYdIvrN5ACMEKIaqqq29oGYINSarHWOrWOxiREg3U27yIFxWbAdXEXe4GYYz7dAPDyUviYDCSVSAEYIUQ1GX2GXqCUehnoBfjbV2qtR3lkVEI0YIF+3iybNsxlTvieMy3ZQ3+IsF5tF0UcACDluIHZ7McPwpdPON0kud9CiMoYzUNfChwAugJzgWPAzx4akxCNQn3khEvutxCiMkav0Ntqrd9RSj3icBteArpo9hxzws8t+5jcVausG9Js3YXzrR3Xio6cxj8mhi6SPy6E8BCjV+gltp9nlFK3KKX6A208NCYhGqXcVasoOnDA6TbJNRdCeJrRK/Q/K6VaArOw5p+HAP/rsVEJUQmj+eW1kbJWHf4xMXRZknRpNvtUyTsXQtQNo/3QbfcRyQGu89xwhHDNaH65s/zxyhit/gYQVGghL8DojS0hhKg7hgK6UioMeBCIcjxGa32/Z4YlROVqI7/8g5+O89mOUwD0/aXYcKAu8LKQ19rHunAhDfIyL12N25+bL7pF8smFEHXO6C33z4BNwFoMtk1VSnUCkoD2gAbe0lr/SynVBliG9ZeDY8CdWutz7g1biJr5bMcp9p3JJTbC2iwlL8CLXVe6zi238uO2fh2tL/My4WI+0KLibpJPLoSoY0YDeqDW+nE3z20GZmmtU5RSwcA2pdQ3wBTgW631C0qpJ4AnAHfPLUSNxUaEsGzaMFa+kgLAU9OqUc7VtwVM/dL6+rt7rT/lubkQoh4YDeirlFI3a60Nd7vQWp8BztheX1BK7cfafvU2YKRtt/eA9UhAFw2Iq4IxjjIvQFhwlbsJIUSdMDq75xGsQb1QKZWrlLqglMo1+iZKqSigP/AT0N4W7AHSsN6Sd3bMQ0qpZKVUcmZmptG3EqLGjBaMCQuGnh3qYEBCCGGA0Vnu1b4OUUoFASuAR7XWuUopx/NqpZSu5D3fAt4CiI+Pd7qPELXBnJmJOSuL1HvmAVBUkkswMPTwadcHpp2GI5B6j/VWe9GBA/jHGCjtKoQQHlBV+9QYrfUBpZTTh4ta65QqjvfBGsyXaq3/Y1udrpSK0FqfUUpFABnVGbhoOtzpXe6J/HJzVhaWggLj96sqIcVjhBD1qaor9MeAh4BXnGzTQKXNWZT1UvwdYL/W+h8Omz4H7gNesP38zJ0Bi6bHnd7l7uSXu8MrMJAuC62T2fznWhujVFmmVYrHCCEakKrapz5k+1mdYjJXAfcAu5VSO2zrnsQayD9WSj0ApAJ3VuPcookxmlv+wU/HWb7uFMvXue5HXhXHlLUKyueXV0ZyzYUQDYjRwjL/g/W2+XnbcmvgLq3165Udo7X+HlCVbB7t7kCFAPhpbSpXpBUT6Gc0QcO5vvgRekaz8pUUcr3aEGLJvrTRVX65I8k1F0I0IEb/r/ig1vo1+4LW+pxS6kGg0oAuhCe0O1dKkMWLzpVdXVdDiCWbjuajl690zC8XQohGwGhANymllNZaAyilTICv54YlROXyArwYM8t1ERijueQAFy8c4FfgjO3ZueSXCyEaI6PzelcDy5RSo5VSo4EPbeuEaJCM5pI7I/nlQojGyOgV+uNYZ7v/3rb8DfC2R0YkRC0Ji+rKBNtM9XPLPiZ31Sqn+xUdOW1te2qf1V7VZDghhGiAjAb0AGCh1noBlN1y9wMKPDUw0TC5kzNuVF30Ls9dtarSwi+SPy6EaAqMBvRvgeuBPNtyALAGGO6JQYmGy52ccaM8lVtenn9MDF2WSM64EKJpMhrQ/bXW9mCO1jpPKRXooTGJBq42+pG74tirvLwris3GUtZc9SqviuSXCyEaIaOT4vIdy78qpQYChZ4Zkmju7L3KnQn08yY0yECCRVkueTVIfrkQohEyeoX+KPCJUuo01mIx4cAEj41KNHv2XuXl2XuXGyK9yoUQzYjRbms/K6ViAPuD04Na6xLPDUs0J3s3neLQ1vSy5b5nigHnwfvsyTxCI4PqbGxCCNFYuFM/MxqIBfyBAUoptNZyuSNq7NDW9EoDdW5GMnlZuy5bd+6kL8vmfuzynFIcRgjR3Bit5f4sMBJrQP8KuAn4HpCALmpFaGRQWfW3j960Nl55atoAls39mAsZmYRFda1wjDnD2sfcmeCLF2mXUyC9yoUQzYbRK/RxQBywXWs9VSnVHnjfc8MS4hLHAjGOUu+5t6woTAVZqZctSq65EKKpMxrQC7XWFqWUWSkVAmQAnTw4LlGH3CkWUxdFYNxRaW659CoXQjQzRgN6slKqFbAQ2Ia1wEzNGlKLBsOdYjG1VQTGMdfcPgnOfqv9sl7lrnqTu8otl1xyIUQzY3SW+wzbywVKqdVAiNZ6l6tjROPi6WIx5dlzzWOdtEGNjQjhtn4drQtGe5OXJ7nkQohmxuikuM+Bj4DPtNbHPDoi0WzYc83t6WlPTaukJWplvcklt1wIIcoYrRT3CnA1sE8ptVwpNU4p5e/BcQkhhBDCDUZvuW8ANti6rI0CHgTeBSreLxXCiV1rV7P/h/VlyzGnraVdl839jLMn8myvK+aWSz65EEIYY7iwjFIqAPgt1pKvA4D3PDUo0TQ4VoA7vX8VFwvS8A0MByDoogWAsyfyKCkuxcfP5PQcYcHQs0PdjFcIIRozo8/QPwYGA6uBfwMbtNYWTw5MNH6OFeB0SQnehNBGWTvu+iszAIHKG/yho/koXQ4fqniStNNwhLICMY6kWIwQQlxi9Ar9HeAurXWpJwcjasadfHJHnswtt1eAe29iOpaCAoabVgOUdVNzNsvdKCkWI4QQlxh9hv61pwcias6dfHJH5XPLXfUjL290wVdcVbjO6bb89KkA7P3rw1iK/cEEeT2PAhDavZRAXxNdIqro8ZOWZU1Bk5nsQgjhkjvNWUQjUBv55K5yxMu7qnAdUSVHOebTza33CPQ1ERrkV/WOkk8uhBCGSEAXTlXWj7yCRS2B/vRykid+yJZf3mvWAyRPvN36+sm1tTlMIYQQNoby0JVS3xpZJ4QQQoj64fIK3VY8JhAIVUq1BpRtUwjQ0cNjE0IIIYRBVd1ynwY8CnTA2pTFHtBzsaaviWamfIEYzth+Hn+iwr6OBWNydCktlfNccyGEEDXnMqBrrf8F/Esp9Qet9at1NCbRgO3/YT2Zx34lLKprlfvqkhJ0SQlF+08SXFhM56BWdTBCIYRonoymrb2qlBoORDkeo7WWXKI65irXvLbyycPPmml3rrSsaYqjsyfyUKYwfIPutK4I7mn9GVSxVamPfwZB5pNc7bMRWoZIzrgQQniQ0UpxS4DuwA7AXlxGAxLQ65irXHNXvcrdyS0flpaGvzkQ0lIrbryYb/2ZtvvSsq/z1qYhlmw6+qbRZZH8NRFCCE8zmrYWD8RqrbUnByOMqU6uuTu55aFeuQT6ZDAmtuKdgGUXrD/HxDo0UukzDuIrtj5NvWeeW2MUQghRfUYD+h4gnEtToEQjZDS3fOXsQ0CQ8x7k9slvU1+o3cEJIYSoEaMBPRRrL/StQLF9pdb61soOUEq9CyQCGVrr3rZ1bYBlWJ/FHwPu1Fqfq9bIhRBCCFHGaECfU41zL8aa2ub4APUJ4Fut9QtKqSdsy49X49xCCCGEcGCoUpzWegPWK2of2+ufgYpToC8/ZiOQXW71bVzqo/4ecLs7gxVCCCGEc0ZnuT8IPAS0wTrbvSOwABjt5vu111rbn8OnAe3dPF7UEscCMeaMTMxZWWXbcmkJwHsTV1Y4zl4gxll/8vKkX7kQQtQdo7fc/wcYDPwEoLX+RSnVriZvrLXWSqlKZ80rpR7C+ksEnTt3rslbNUj13bvcsUCMOSsLS0EBXoGBVR7XUpno7OVr6D2kX7kQQtQdowG9WGt9USlr5VellDfWPHR3pSulIrTWZ5RSEUBGZTtqrd8C3gKIj49vculy1e1d3to7ilMnY5jw5pYq93XsVf7Hi9b+49buaMAZCPODCZ13k/r9aQC6jOkAwModQ8C3BWNevs+tsQkhhKg/RgP6BqXUk0CAUuoGYAbwRTXe73PgPuAF28/PqnGOJqM6+eQT3tzCvjO5tI6oet+umbnsz7uLIuUPgI/Ji0PnrNMmzhasB2DlvpEUdbAmLqTss/YnP2sOI7S1W8MSQghRz4wG9CeAB4DdWBu2fAW87eoApdSHwEisndpOAs9iDeQfK6UeAFKBO6s37ObNnXzyc6VhhHYLr7jx3M/Wn+F94PwB22vr8+5QoMdgmd4ghBCNidGAHgC8q7VeCKCUMtnWFVR2gNb6rko2uTuRTtRAaGAmY2ZVLAe7bK610tuYWQPKKrp1mXV3nY5NCCFE7TGUtgZ8izWA2wUAa2t/OEIIIYSoDqMB3V9rnWdfsL2uekq0EEIIIeqE0Vvu+UqpAVrrFACl1ECg0HPDEtXhmFsOcDY9HYBlc/dX2NdoT3MhhBCNg9GA/gjwiVLqNKCwNmqZ4LFRNSJ1nU8+cNd6+hz8idTvK3ZN216SW1b4BcBiKxBTtP9AhX2DgXYHj5J6z71SAEYIIZqAKgO6UsoL8AViAHsEOqi1LvHkwBoLo/nkGbnFnM0vdlgTYTif3NGMXasIO38OlF/FjcGhtARGXjgLwObwaeDlxXDL9y7PKQVghBCi8asyoGutLUqp17TW/bG2URXlGMknn/DmFo4b7EfuSphXLgGtS+hyd8Xb5f4/WX92+a21QEzKvgBoEUaXOUkV9hVCCNG0GL3l/q1SaizwH611k6vaVleM5o+7krrcG8O9yl9x2T9HCCFEE2I0oE8DHgNKlVKFWJ+ja611zS43hdtSg4dyKrg/KU6C9dkT1kSElbZtZ0/mERoZVKfjE0IIUT8MBXStdbCnByKMORXcn1zfjvgb2Dc0MkgqvgkhRDNhtH2qAiYBXbXWzyulOgERWuutHh2dcCrk4inGzLqlwnrH6m9CCCGaF6OFZV4HhgH22qB5wGseGZEQQggh3Gb0GfoQrfUApdR2AK31OaWUsabYwqlzyz4md9Uqp9uOlhZx3HLR6bYc3RKlYNncoxW2SbEYIYRovowG9BJbQxYNoJQKAyweG1UD46p4zO7M/ZjMHZnw5pbL+o+XV74fee4HpynKuIh/u4q/Fx0PDiXH5EPL0oqp/so3BGVyfmMlLKorPa8aafBTCSGEaEqMBvT5wEqgnVLqL8A44GmPjaqBcVU8xmTuSEF2XwiCqwrXEVVylGM+3SrsF+hrIjTo8mIw/u186XJ3hwr7+v8E/sCEIRWD/cp9o6FFGGOerdhBTQghRPNldJb7UqXUNqytTxVwu9a6YoHwJqyy4jET3twCQVjzyxe1BPrTy1mOeHnf3Wv9OdVJ0Zfy+eSOJLdcCCGEEy4DulLKH5gOXAHsBt7UWpvrYmBCCCGEMK6qK/T3gBJgE3AT0BN41NODasj2bjrFoa3pZct9z1jrs698JQXS7rSuNHAVXeSfAGCoQMxl26RYjBBCCCeqCuixWus+AEqpd4Bmn3d+aGt6vQZVKRYjhBDCmaoCetk0a6212VpfRoRGBpUVb/nI1i3tqWkDYNH/s+4w9b4qz5F6zzwAusy6u8I2KRAjhBDCXVUF9DilVK7ttQICbMvNtpZ7bkYyeVm7yoJuzGnr17Ns7mdwxraTfVKbC0Ul1uP851bcV/LJhRBCuMtlQNdam+pqIHXNVW55buYJTIVn2A3IAwAADclJREFUy5ZTfUrpUmJi71+vJufUFZjNOeSnFgLQuaAUr2JNUaYCXQrKBOcPVPn+loICvAIDnW6TfHIhhBDuMpqH3uS4zC0vPIu/pYgiL2sLlC4lJq4quJQT7u3dkiFXZAKgvs7B61wpAe1tOeYtwsDHwI2LliGEJCbSesKdNf8wQgghmr1mG9Ch8tzyvX+9Ggii15PfV9i2/nczAcq2pe6/FzpDlyVO8smFEEKIOmK0OYsQQgghGjAJ6EIIIUQTIAFdCCGEaAKa9TP0ypzOG0h6fl8OOanUVlJcio9fk538L4QQopGSK3Qn0vP7kncx3Ok2Hz8TAcHSCl4IIUTD0qyu0Gd//SYbT68BwMxRupdo24z2y/lbJoJvGmNm3QLArrWr2f/DegAsRacw5WlS77F2Sys6cAD/mJi6+QBCCCFEJZrVFfrG02so0McB6F6iue1CjtP9irwCKA0ILVve/8N6Mo/9CkCIWRORkV22zT8mhpDERA+OWgghhKhas7pCBwhUnflp6gpYdAu06QhOepc7e3YeFtWVCc++YL0y7xgieedCCCEalGZ1hS6EEEI0VRLQhRBCiCZAAroQQgjRBNRLQFdKJSilDiqlDiulqu41KoQQQgiX6jygK6VMwGvATUAscJdSKrauxyGEEEI0JUprXbdvqNQwYI7W+kbb8v8BaK3/Vtkx8fHxOjk52e33+vekBzCXmh3WaEBhcniNV8Wqb2a88cZMiMWanpajS2mpTIz0CSnLO5dZ7kKIhk4ptU1rHV/f4xB1oz5uuXcETjgsn7Stu4xS6iGlVLJSKjkzM7OW3lqhHF6jlNO9vDHjpwvLllsqE529rNXhJO9cCCFEQ9Rg89C11m8Bb4H1Cr0655i59J1aHZMQQgjRUNXHFfopoJPDcqRtnRBCCCGqqT4C+s/AlUqprkopX2Ai8Hk9jEMIIYRoMur8lrvW2qyUmgl8DZiAd7XWe+t6HEIIIURTUi/P0LXWXwFf1cd7CyGEEE2RVIoTQgghmgAJ6EIIIUQTIAFdCCGEaAIkoAshhBBNQJ2Xfq0OpVQmkFrNw0OBs7U4nKZEvpvKyXfjnHwvlWuI300XrXVYfQ9C1I1GEdBrQimVLLWMnZPvpnLy3Tgn30vl5LsR9U1uuQshhBBNgAR0IYQQogloDgH9rfoeQAMm303l5LtxTr6Xysl3I+pVk3+GLoQQQjQHzeEKXQghhGjyJKALIYQQTUCDDuhKqQSl1EGl1GGl1BMO60cppVKUUnuUUu8ppSo0mVFKjVRK5SilttvOsVEplVi3n8AzlFKdlFLrlFL7lFJ7lVKPOGyLU0ptUUrtVkp9oZQKcXJ8lFKq0Pbd7FdKbVVKTanTD1EHlFLvKqUylFJ7yq3vp5T6USm1QymVrJQa7OTYkUqpVXU32rrh4t/UJtv3sUMpdVop9amTY+3/puz7ra3iveYopf7oic9R26r4N7XM4TMfU0rtcHK8/d/UDoc/vi7eb4pS6t+e+jyimdJaN8g/WFurHgG6Ab7ATiAW6y8hJ4Aetv2eAx5wcvxIYJXDcj/gGDC6vj9bLXw3EcAA2+tg4BAQa1v+GbjW9vp+4Hknx0cBexyWuwE7gKn1/dlq+Xu6Bhjg+Flt69cAN9le3wysr+rvT1P4U9m/KSf7rQDurel3AswB/ljfn9vgWCv9N1Vuv1eAZ5ysv+zflIH3mwL8u74/t/xpWn8a8hX6YOCw1vqo1voi8BFwG9AWuKi1PmTb7xtgbFUn01rvwBr8ZwIopcKUUiuUUj/b/lxlWx+klFpku8LdpZSq8tx1TWt9RmudYnt9AdgPdLRt7gFstL02+t0cBR4D/n97Zx/rZVnG8c9XYEKkKIFUph1ziEkRDJZaYMKQzVqZhQS5lGxmTiFZaX+kZTPJlHL5NnqhlznmlKAX19aJeCvFAoQ4yFvUaoEwmSWUhZbHqz+u6ycPx/Oc8zucczy/34/rsz373b/7fu7X7Xqu57rv+7mvuQCSBod1uy6s+Esivp+kBTEz0iJpTs/2rGcxs98A/2gvCajMXAwB9nZUjqR3x6zHJklrJY2K+NmSlkn6paRdku7s0Q70PGUy9QoxozMFeJWFXkaZLAWVGaNdkq7uiU70Bp3IFACSBMwAHqq23DJZCk6TtDrG5ss90I3kGKdP/KFXyam4JV5hD3AufrRif0kTzGwDMB04rcoyNwI3RvhbwN1m9pik04Fm4O3ALcBBM3sngKSTu92TXkRSEzAO+H1EbcUf0j8FLqNrY3N2hL8IrDSzqySdBKyL6dUrcEtkrJm9JGloT/ShD7gBaJa0AJ/xeU8n9+8AJkWfpwLzOfyiNBYf/xeBnZLuNbPdJeX0NWUyVeTDwAoz+2dJGZMKU85LzOx2ymUJYAxwHjAY2CTpF2bW4QtUX9OOTFWYBDxjZrtKsp5ZGJvHzew6ymUJ/AXrHcB/gPUxNht6sCvJMUYtK/R2MTOTNBO4W9Lx+PRpa5XZVQhPBc7xl24ATpT0+oifWajvue63uneI9i4Fbig8gK8C7pF0C/Bz4L/VFlcITwM+VFj/HAicjo/NQjN7CcDM2rN+64FrgXlmtlTSDGAR3rcyhgA/kjQSt+4HFNJWmNlBAEnbgLdypNKsN2YB3+sg/bdm1nYvSpksAfzMzA4BhyStwpVY1db/a02JTFWYRcfW+Z/NbGybuDJZAlhuZn+PepcBE4FU6MlRU8sK/WmOtC7fEnGY2RP42zKSpuHTzNUwDp9KA7fMzjOzF4o3FB5KNY2kAfiDZ7GZLavEm9kO/CGCpLOAD1RZZHFsBHzUzHa2qbO7za4VrgQqm56W0LECA7gNWGVml4b1trqQ9mIh3EqdyhSApGG4wr20i+V2JEttD7qo2YMvymQq0voDHwHGd7VY2pelc6mjsUnqg1peQ18PjJR0RuwWnYlbnEg6JX6PB74ALOysMElj8On0+yPqV8CcQnrlzXo5cF0hvuam3GMtbxGw3cy+2SatMjbHATdT3dg0AQuAeyOqGZgT9SBpXMQvB66Jhxt1POW+F3hfhKcAZVOoFYZwWPHN7qU2vRaUylQwHd/09kK7ucspkyWASyQNlPQGfFPd+qNqeS/TkUwFU4EdZrani0WXyRLARZKGShqEL3U8fhRNT5JXqFmFHtO61+MCsR14xMy2RvKNkrYDLcCjZraypJhJsRFlJ67I55rZikibC0yIzV3bgM9E/FeBk2Pj12Zgcs/3rtu8F/gEMEWHP5F5f6TNkvRHfN13L/CDkjLOjLHZDjwC3GNmlXtvw6eVWyRtjf/gluzfIn4z8PEe71kPIukh4AlglKQ9kj4VSVcD34g+zAc+3U72/hy2vu8EviZpE7VtgXdIJzIFruCr3vBVoEyWwGV0FfA7/IuLWl0/70im4OjHpkyWANbhMwItwNJcP0+6Sx79miTtIP8O+VQzu6mv25IkSVINdWttJElvIWkRvvt4Rl+3JUmSpFrSQk+SJEmSBqBm19CTJEmSJKmeVOhJkiRJ0gCkQk+SJEmSBiAVelLTSGqNT4i2Stos6XPxjX1HeZok1dQndZLWdiPvbElv7mKeJrXxMpckSWOTCj2pdQ6Z2VgzGw1cBFwMdObIooka+0bezDo7L74jZgNdUuhJkhx7pEJP6gYz248fAnO9nCa5H++NcVWU5h2EExFJ8+Re4u6SewJrkXRN27Il3SGpeELgrZI+L/e+tyLK36KCtyxJV0R5myU9GHEjJP0k4jZX2iTp+fi9UO5h68eSdkhaXDhF7EvRxqckfSf6OB2YACyO/gySNF7SGklPSmqW9KbIP75SL4XTDpMkOUboa/+teeXV0QU8307cAWAE8DpgYMSNBDZE+EIKfrvxl4CbI3w87gDjjDZljgPWFP5vw8897w+cGHHDgD/h53OPxn1mD4u0ofH7MO7YA9z/+JBiP6JtB/Fz1I/DT7KbWCwjwg8CH4zwamBChAcAa4Hh8f9jwPcj3AJcEOG76IJ/7rzyyqv+rzxYJqlnBgD3xdnhrZQ76ZkGjAlrF/xs9pHAXyo3mNkmSafEWvVw4Dkz2y132DFf0gXAy7gL0hH4GfBLzOzZyF/xPDcFdzOLmbXiyrst6yzOBJe722wCHgMmS7oJf1EZirvCfbRN3lH4oTfLw7DvB+yTu+Y8ydwHPPgLwcUl45EkSQOSCj2pKyS9DVfe+/G19GeAd+HWbplTEQFzzKy5k+KX4A5K3ohb2gCX4wp+vJn9T9JfcReY3eFVHtokDQQewC3x3ZJuLalHwFYzO/+ISFfoSZIcw+QaelI3SBqOe4+7z8wMt7T3mdnLuGONfnHrv4ATClmbgWvD2kbSWZIGt1PFw7gTjum4cifq2B/KfDLu7xxgJXCZ3ItY0fPcCtzfOrF2P6TK7lWU97Nyn9zTC2nF/uwEhks6P+oYIGm0mR0ADkiaGPddXmW9SZI0CKnQk1pnUOWzNeDXuKvOr0TaA8CVsQnsbODfEd8CtMYGsXm4l7htwMb4lOvbtDM7Ze557ATgaTPbF9GLcU9iW/Cp9B2Fe28H1kT9FZebn8WnzrcATwLnVNPJUMjfBZ7CX0CKbkZ/CCyM6fl+uLL/etT7B6CyGfCTwP1xX8M4r0+SpDryLPckSZIkaQDSQk+SJEmSBiAVepIkSZI0AKnQkyRJkqQBSIWeJEmSJA1AKvQkSZIkaQBSoSdJkiRJA5AKPUmSJEkagP8DzRFtlAnqQOMAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5786,7 +6678,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5810,7 +6702,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5834,7 +6726,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5858,7 +6750,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5882,7 +6774,7 @@
     },
     {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5906,7 +6798,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5930,7 +6822,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5954,7 +6846,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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rcqxyS5Jm1hAYBgwADga2A0uBV909ynAlVwMfAoV/Ht0BTHT3Z8zsQeAnwJ8qErSISG2R1tWr5ZT4Emn06NEbH3nkkdYbNmyoN3r06E1vvfVW03Hjxq277rrrSnQqWrBgwfLnnnuu+c0333zIW2+99e3dd98defqfMkuSZvZr4F2gH/Bv4M/As8Ae4HYze9PMepaxfQdgKPBI+NmAk4DCccOeAM6MGqyISLr7ausOlq3bwo/+PGe/UqRUzIUXXrh55syZzRctWnTA8OHDtwwZMuTbp556qvWWLVvqAHz++ef11qxZU3fVqlX1mjZtWnD55Zd/fc0116xfuHBhhaqHyytJvu/ut8ZZ939m1hY4tIzt7wGuB5qGn1sBm9298AnaL4FS6xbMbCwwFuDQQ8s6hIhI+tiYv5Ntu4IaP1WvVl7Dhg29f//+37Zo0WJv3bp1Ofvss79dtmxZw759+x4F0Lhx44LJkyd/vmLFigY33nhjhzp16lC3bl1/4IEHvqjIccpMku6+34M8ZtbY3bfFrN8AbChtWzMbBmxw9/lmNrAiQYX7fgh4CILnJCu6vYhIqmpcPyt9q1hTxN69e1mwYEGTqVOnflq47Oabb95w880375eTsrOzdw4fPnx5ZY8TqXermfUnqDJtAhxqZjnAJe5+eRmbHQ+cbmY/BBoStEn+AWhhZnXD0mQHYE0Z+xARSWvFe7D+YtdeGtevUAdLKWb+/PkNzzjjjCOHDBnyTY8ePXYm8lhRHwGZCJwKvATg7ovM7AdlbeDuNwI3AoQlyV+4+wVmNhUYATwDXAS8WLnQRURSU2xi/PfnXwNw7GEtgaAU2bpJg7jbSvn69Omz48svv1xSE8eK/Jyku68uNvlthbrRxhgPPGNmvwU+AB6t5H5ERFJS4aMd3do349jDWnJGr0P48bFh34rHmyc3uKorKCgosDp16tSaZrCCggIDCkpbFzVJrg6rXN3M6rHvsY5I3H0WMCt8/xlwTNRtRUTSUVo/2lG2pXl5ed3atGmzpTYkyoKCAsvLy2tO8GhjCVGT5KUE7YmHELQhvgH8rFoiFBFJc2k/ck4F7Nmz56fr169/ZP369d2pHeN/FwBL9+zZ89PSVkZNkubuF1RfTCIitUds9SrU7kc7+vTpswE4Pdlx1JSoSfJdM1sFTAGec/fNiQtJRCT91OLq1YwWKUm6exczOwY4D/iVmS0HnnH3pxManYhIiipt7kepfSLXJ7v7++5+DUGnm68JhpQTEclImvsxM0QdTKAZcBZBSfJw4HnUQ1VEMki8zjmqYq3dorZJLgJeAG5z9zkJjEdEJCVlUucc2Sdqkuzs7mn/PIyISFWo5Jh5ykySZnaPu48DXjKzEknS3TOmG7CIZB51zpHySpJPhT/vTnQgIiLJVrzdMXbcVVWvZqbypsqaH77t5e5/iF1nZlcDsxMVmIhITSve7lhi3FXJOFHbJC8iGJYu1qhSlomIpA31WJXylNcmeT7wY+AwM3spZlVTgmclRUTSlnqsSnnKK0m+B6wDWgO/j1m+FVicqKBERGqKSo5SlvLaJL8AvgD0GyQitYJ6rEpFRBqWzsyOM7O5ZpZvZrvMbK+ZfZvo4EREqpuGk5OKiNpx5z6CIemmArnA/wBdEhWUiEgiqYpVooqaJHH3T8wsy933Ao+b2QfAjYkLTUSk6jJpQmSpflGT5DYzqw8sNLM7CTrz1IYZqUWkFopNjLEDAoCqWKVioibJC4Es4Arg50BHYHiighIRqYrYRzs0IIBURdRJl78I324Hfp24cEREKk6DAkiilDeYwBIg7uwf7t6z2iMSEYlAVapSE8orSQ6rkShERCpIVapSE6IMJiAikpJUpSqJFqlN0sy2sq/atT5QD/jO3dWPWkRqhB7lkGSI2nGnaeF7MzPgDOC4RAUlIlKcBiOXZIg8mEAhd3fgBTO7Fbih+kMSEQmUNs6qqlelJkWtbj075mMdgqHpdiQkIhHJWMWrVGN7rarkKMkQtSR5Wsz7PcAqgipXEZFqU7xKVb1WJdmitkmOTnQgIpKZVKUqqSxqdethwJVAp9ht3P30xIQlIpkitvSoKlVJNVGrW18AHgVeBgoSF46IZCKVHiVVRU2SO9z93oRGIiIZQc87SjqJmiT/ED7y8Qaws3Chuy9ISFQiUqtonFVJV1GTZA+C6bJOYl91q4efRUTKpHFWJV1FTZLnAJ3dfVfUHZtZQ+BtoEF4nGnufmvYCegZoBUwH7iwIvsVkfSkdkdJR1GT5FKgBbChAvveCZzk7vlmVg/4p5n9HbgGmOjuz5jZg8BPgD9VJGgRSW1qd5Taok7E77UAVpjZ62b2UuGrrA08kB9+rBe+Cqtop4XLnwDOrETcIpLCCqtXC6ndUdJV1JLkrZXZuZllEVSpHgHcD3wKbHb3PeFXvgRKvXPMbCwwFuDQQ9V2IZJqipcWY2lQAKktoo64M7syO3f3vUAvM2sBPA8cVYFtHwIeAsjNzfVyvi4iNaz4EHKxVHKU2qJG5pN0981mNhPoB7Qws7phabIDUPqfoiKS8lRalNouYfNJmlkbYHeYIBsBpwB3ADOBEQQ9XC8CXqxc6CJSk9QZRzJRIueTbA88EbZL1gGedfdXzGw58IyZ/Rb4gGC4OxFJQRoEQDJdwuaTdPfFwNGlLP8MOKYCMYqkn3mPw5Jp5X8vxeWs28KRu/bSuH4WNIPWTRpwUP2G+76wPHxJdOuXQLseyY5CItJ8kiKJsGRaWv5n+NXWHWzMLxp5km1hgsxu3zyJUdUy7XpAjxHJjkIi0nySIonSrgeMfjXZUZRrvyrVtftXqQKc0esQsjWEnGSoqNWtTwBXu/vm8POBwO/d/eJEBiciiadxVUXii1rd2rMwQQK4+zdmVqK9UURSkx78F6mcqMPS1QlLjwCYWUsq0TNWRJKj+DBxsdRLVSS+qInu98AcM5safj4H+F1iQhKRRFBpUaTionbcedLM5rFv/siz3V0dv0VSlB78F6keZSZJM2tSOJNHmBRLJMbY74hI8ujBf5HqV15J8kUzW0gwdNx8d/8OwMw6AycC5wIPs2/qKxFJEvVSFal+ZSZJdx9kZj8ELgGODzvs7AZWAq8CF7n7+sSHKSJRqN1RpHqV2ybp7q8Br9VALCJSjiiPcohI9Yn6CIiIpAA9yiFSs/Sso0iaUZWqSM1RkhRJYXqUQyS5ynsEpGVZ69396+oNR0RixfZYBVWpitS08kqS8wEHDDgU+CZ83wL4D3BYQqMTyTDxSo6qXhVJjvIeATkMwMweBp4Pe7piZkOAMxMfnkjtp0EARFJX1DbJ49x9TOEHd/+7md2ZoJhEMooGARBJXVGT5Fozuwl4Ovx8AbA2MSGJZB5VqYqkpqhJ8nzgVuB5gjbKt8NlIlJB6rEqkj6izgLyNXC1mR1QOH6riFSOeqyKpI9ISdLM+gOPAE2AQ80sB7jE3S9PZHAitZWqV0XSQ9Tq1onAqcBLAO6+yMx+kLCoRNLcV1t3sDF/J7f9eU6JdapeFUkfkcdudffVxRbtreZYRGqNjfk72bar9FtE1asi6SNqSXJ1WOXqZlYPuBr4MHFhiaS/xvWzVKUqkuaiJslLgT8AhwBrgDcAtUeKxIjttfqLXXtpXD8ryRGJSFVFrW7t6u4XuPtB7t7W3UcC309kYCLpJnYaq8b1s2jdpEGSIxKRqopakvwj0DvCMpGMUeY4q483T2JkIlJdypsFpB/QH2hjZtfErGoGqC5JMpqedxSp/corSdYneDayLtA0Zvm3wIhEBSWSLvS8o0jtVt4sILOB2WY2yd2/qKGYRFJWbBWrnncUqf2itkluM7O7gGygYeFCdz8pIVGJpIji7Y6xU1mpelWk9ouaJCcDU4BhBI+DXATkJSookVRRvN1RU1mJZJaoSbKVuz9qZlfHVMHOTWRgIqlC7Y4imStqktwd/lxnZkMJ5pJsmZiQRJJL7Y4iUijqYAK/NbPmwLXALwhmBPl5WRuYWUczm2lmy81smZldHS5vaWZvmtnH4c8Dq3QGItUsdlAAtTuKZLao80m+Er7dApwYcd97gGvdfYGZNQXmm9mbwChghrvfbmY3ADcA4ysWtkhiqYpVRCD6fJJtgDFAp9ht3P3ieNu4+zpgXfh+q5l9SDD26xnAwPBrTwCzUJKUJIo3co6ISNQ2yReBd4C3qMQUWWbWCTga+DdwUJhAAdYDB8XZZiwwFuDQQ9WTUBJHI+eISDxRk2Rjd69Uac/MmgDPAePc/VszK1rn7m5mXtp27v4Q8BBAbm5uqd8RqazSOueoelVEiovacecVM/thRXcezj35HDDZ3f8WLv7KzNqH69sDGyq6X5GqUuccEYkiaknyauCXZraT4HEQIygIxm24saDI+Cjwobv/X8yqlwgGI7g9/PliZQIXqSqVHkWkPFF7tzYt/1slHA9cCCwxs4Xhsl8SJMdnzewnwBfAuZXYt0iFqHOOiFRGeVNlHeXuK8ys1Hkj3X1BvG3d/Z8EJc7SDIoeokjFlTXmKqiKVUSiKa8keQ1BD9Pfl7LOAQ1wLilJY66KSHUob6qsseHPqAMIiKQMtTmKSFVFHUzgZwQ9VDeHnw8Eznf3BxIZnEhFaMxVEaluUR8BGVOYIAHc/RuCEXhEUoYe6xCR6hb1EZAsMzN3dwAzywLqJy4skfLF67GqKlYRqS5RS5LTgSlmNsjMBgF/DZeJJE1syRFUehSR6he1JDmeoJfrZeHnNwmmyxJJKpUcRSSRoibJRsDD7v4gFFW3NgC2JSowkdKoc46I1KSoSXIGcDKQH35uBLwB9E9EUCKFyhoUQNWrIpJoUZNkQ3cvTJC4e76ZNU5QTCJFNCiAiCRT1CT5nZn1LhyGzsz6ANsTF5bIPmp3FJFkiZokxwFTzWwtwXis7YAfJSwqyWhqdxSRVBF1FpC5ZnYU0DVctNLddycuLMlksVWsancUkWSKWpKEIEF2AxoCvc0Md38yMWFJplMVq4ikgqhjt94KDCRIkq8BQ4B/AkqSUmWa61FEUlXUEXdGEMwBud7dRwM5QPOERSUZRSPniEiqilrdut3dC8xsj5k1AzYAHRMYl9RypXXOUfWqiKSaqElynpm1AB4G5hMMKjAnYVFJraNBAUQkHUXt3Xp5+PZBM5sONHP3xYkLS2qbtB0UYN7jsGRaxbdbvwTa9aj+eESkRkXtuPMS8AzworuvSmhEUmvUiirVJdMql/Da9YAeIxITk4jUmKjVrb8nGDzg/5nZXIKE+Yq770hYZJL2as3zju16wOhXkx2FiCRB1OrW2cDscPaPk4AxwGOA+ulLmdKy9CgiEoo8mICZNQJOIyhR9gaeSFRQkp70vKOI1DZR2ySfBY4BpgP3AbPdvSCRgUl6iE2MsT1WQc87ikj6i1qSfBQ43933JjIYST+x7Y5p02NVRCSiqG2Sryc6EElfancUkdqqIgOci6jdUUQyStSxW0UAjbMqIpklasedGe4+qLxlkhlUvSoimaLMJGlmDYHGQGszOxCwcFUzQMWHDKDqVRHJZOWVJC8BxgEHEwxsXpgkvyV4FERqIT3WISISKDNJuvsfgD+Y2ZXu/scaikmSTI91iIgEoj4C8kcz6w90it3G3Z9MUFxSg+JVqardUUQyXdSOO08BhwMLgcIBBRxQkqwFik9jpSpVEZFA1Ockc4Fu7u6JDEaSRyVHEZGSoibJpUA7YF3UHZvZY8AwYIO7dw+XtQSmEFTbrgLOdfdvKhCvVJPS5noUEZH9RU2SrYHlZvY+sLNwobufXsY2kwh6wMZWyd4AzHD3283shvDz+ApFLJVSvN0xtteqqldFREoXNUlOqOiO3f1tM+tUbPEZwMDw/RPALJQka0Txdkf1WhURKV/kSZfN7HvAke7+lpk1BrIqcbyD3L2wynY9cFC8L5rZWGAswKGH6j/yyiitSlXtjiIi0UUau9XMxgDTgD+Hiw4BXqjKgcNOQHE7Arn7Q+6e6+65bdq0qcqhMlbsOKuqUhURqbio1a0/I5h0+d8A7v6xmbWtxPG+MrP27r7OzNoDGyqxD6kAlR5FRCovapLc6e67zIJR6cysLmWUAsvwEnARcHv488VK7EPi0DirIiLVK+pUWbPN7Jkjlj0AAA5rSURBVJdAIzM7BZgKvFzWBmb2V2AO0NXMvjSznxAkx1PM7GPg5PCzVBNNYyUiUr2iliRvAH4CLCEY9Pw14JGyNnD38+Os0vRaCaTqVRGR6hM1STYCHnP3hwHMLCtcti1RgUk0GhRARCRxoibJGQTVo/nh50bAG0D/RAQl8WlQABGRmhM1STZ098IEibvnh89KSg3ToAAiIjUnapL8zsx6u/sCADPrA2xPXFhSFrU7iojUjKhJ8mpgqpmtBYxgsPMfJSwqERGRFFBukjSzOkB94Ciga7h4pbvvTmRgIiIiyVZuknT3AjO7392PJpgyS2qYerCKiCRH5N6tZjYc+JsmXk489WAVEUkNUZPkJcA1wF4z207QLunuriJNAqgHq4hIaog6VVbTRAeSaYqXFmNpWisRkdQQdaosM7ORZnZz+LmjmR2T2NBqt+LjrMZSlaqISGqIWt36AFAAnAT8hmDknfuBvgmKKyOotCgiktqiJslj3b23mX0A4O7fmFn9BMZV62gaKxGR9BM1Se4OBzV3ADNrQ1CylDLEJsbYHqqgKlURkXQQNUneCzwPtDWz3wEjgJsSFlUtEdtLVT1URUTST9TerZPNbD7BXJAGnOnuHyY0sjQUr0pV7Y4iIumpzCRpZg2BS4EjCCZc/rO776mJwNKFqlRFRGqv8kqSTwC7gXeAIcD3gXGJDiqdqEpVRKT2Ki9JdnP3HgBm9ijwfuJDSj+qUhURqZ3KS5JFM324+x4zS3A4qU+PcoiIZI7ykmSOmRUOC2NAo/Bzxo7dWnxcVbU7iojUXmUmSXfPqqlA0omqV0VEMkPU5yQzmuZzFBHJTJEGOM90sYORq3pVRCRzqCQZkapYRUQyj5JkKdSDVUREQNWtpSo+16OqWEVEMpNKkqHSOueoelVEJLOpJBlS5xwRESlOJckYKj2KiEisjE2S6pwjIiLlyagkqWmtRESkIjIqSWpaKxERqYiMSpKgdkcREYmuVifJX7+8jOVr9z3vqHZHERGpiKQ8AmJmg81spZl9YmY31NRx1e4oIiIVUeMlSTPLAu4HTgG+BOaa2Uvuvry6j3XradnVvUsREckgyahuPQb4xN0/AzCzZ4AzgGpPkvz9Bli/pNp3Kxlk/RJo1yPZUYhIkiSjuvUQYHXM5y/DZfsxs7FmNs/M5uXl5dVYcCL7adcDeoxIdhQikiQp23HH3R8CHgLIzc31Su1kyO3VGZKIiGSYZJQk1wAdYz53CJeJiIiklGQkybnAkWZ2mJnVB84DXkpCHCIiImWq8epWd99jZlcArwNZwGPuvqym4xARESlPUtok3f014LVkHFtERCQqzScpIiISh5KkiIhIHEqSIiIicShJioiIxGHulXtOvyaZWR7wRSU3bw1srMZwahNdm/h0bUqn6xJfKl6b77l7m2QHkc7SIklWhZnNc/fcZMeRinRt4tO1KZ2uS3y6NrWTqltFRETiUJIUERGJIxOS5EPJDiCF6drEp2tTOl2X+HRtaqFa3yYpIiJSWZlQkhQREakUJUkREZE4UjpJmtlgM1tpZp+Y2Q0xy08yswVmttTMnjCzEgO1m9lAM9tiZh+E+3jbzIbV7Bkkhpl1NLOZZrbczJaZ2dUx63LMbI6ZLTGzl82sWSnbdzKz7eG1+dDM3jezUTV6EjXAzB4zsw1mtrTY8l5m9i8zW2hm88zsmFK2HWhmr9RctDWjjHvqnfB6LDSztWb2QinbFt5Thd97q5xjTTCzXyTiPKpbOffUlJhzXmVmC0vZvvCeWhjzql/G8UaZ2X2JOh+pRu6eki+CabQ+BToD9YFFQDeCxL4a6BJ+7zbgJ6VsPxB4JeZzL2AVMCjZ51YN16Y90Dt83xT4COgWfp4LnBC+vxj4TSnbdwKWxnzuDCwERif73Kr5Ov0A6B17ruHyN4Ah4fsfArPK+/2pDa9491Qp33sO+J+qXhNgAvCLZJ93xFjj3lPFvvd74JZSlu93T0U43ijgvmSft17lv1K5JHkM8Im7f+buu4BngDOAVsAud/8o/N6bwPDydubuCwkS6hUAZtbGzJ4zs7nh6/hweRMzezwsiS02s3L3XdPcfZ27LwjfbwU+BA4JV3cB3g7fR702nwHXAFcBmNkBYSns/bC0eUa4PMvM7g5L8IvN7MrqPbPq5e5vA1+XtgooLGE3B9aWtR8zOyYsnX9gZu+ZWddw+Sgz+5uZTTezj83szmo9geoX754qEtY8nASUKEnGE+9eChXWbHxsZmOq4yQSoZx7CgAzM+Bc4K9R9xvvXgp1NLNZ4bW5tRpOQxIgKfNJRnQIQYmx0JfAsQTDPtU1s1x3nweMADpG3OcC4Lrw/R+Aie7+TzM7lGAS6O8DNwNb3L0HgJkdWOUzSSAz6wQcDfw7XLSM4D++F4BzqNi1OSp8/yvgH+5+sZm1AN4Pq9b+h+Av5l4eTJ7dsjrOIQnGAa+b2d0ENRP9y/n+CmBAeM4nA//Lvj8+ehFc/53ASjP7o7uvjrOfZIt3T8U6E5jh7t/G2ceAmOrGqe7+O+LfSwA9geOAA4APzOxVdy/zj5JkK+WeKjQA+MrdP46z6eEx1+Zdd/8Z8e8lCP5o6Q5sA+aG12ZeNZ6KVINUTpKlcnc3s/OAiWbWgKDqbG/EzS3m/clAt+CPQwCamVmTcPl5Mcf7pupRJ0YY73PAuJj/1C4G7jWzm4GXgF1Rdxfz/r+B02PakxoChxJcmwfdfQ+Au5dWSksHlwE/d/fnzOxc4FGCc4unOfCEmR1JUAqtF7NuhrtvATCz5cD32D8RpZvzgUfKWP+Ouxdv2493LwG86O7bge1mNpMgMUQupda0OPdUofMpuxT5qbv3KrYs3r0E8Ka7bwqP+zfgvwAlyRSTyklyDfuXgjqEy3D3OQR/1WFm/01QxRjF0QTVKBCUII5z9x2xX4i50VOamdUjuJknu/vfCpe7+wqCGxMz6wIMjbjL2GtjwHB3X1nsmFUNO1VcBBR2zJhK2UkB4DfATHc/KyxlzIpZtzPm/V7S9J4CMLPWBEnsrArut6x7qfiD2Cn7YHa8eypcVxc4G+hT0d1S+r10LGl0bTJZKrdJzgWONLPDwl5i5xGUjDCztuHPBsB44MHydmZmPQmqUu8PF70BXBmzvvAvwDeBn8UsT7nq1rBt5FHgQ3f/v2LrCq9NHeAmol2bTsDdwB/DRa8DV4bHwcyODpe/CVwS/odBGle3rgVOCN+fBMSrPivUnH3JZFSCYqoJce+p0AiCjjk7St06vnj3EsAZZtbQzFoRdPyZW6nIE6yseyp0MrDC3b+s4K7j3UsAp5hZSzNrRFDN/W4lQpcES9kkGVbpXUHwS/Yh8Ky7LwtXX2dmHwKLgZfd/R9xdjMgbCxfSZAcr3L3GeG6q4DcsAPKcuDScPlvgQPDzimLgBOr/+yq7HjgQuAk29fd/IfhuvPN7COCdrS1wONx9nF4eG0+BJ4F7nX3wu/+hqBKcbGZLQs/Q1Di+k+4fBHw42o/s2pkZn8F5gBdzexLM/tJuGoM8PvwHP4XGFvK5nXZV0q8E/h/ZvYBqV1SLFM59xQESTNyp5QY8e4lCO7RmcC/CHpap2p7ZFn3FFT+2sS7lwDeJyi5LgaeU3tkatKwdCKlsOA5uUPc/fpkxyIiyZO2fxWLJIqZPUrQ6/DcZMciIsmlkqSIiEgcKdsmKSIikmxKkiIiInEoSYqIiMShJCkpzcz2ht3xl5nZIjO7NnwGtKxtOplZSj2eYmbvVWHbUWZ2cAW36WTFZj8RkYpTkpRUt93de7l7NnAKMAQobzDoTqTYM5zuXt74sGUZBVQoSYpI9VCSlLTh7hsIHvy/wgKdLJgHcUH4KkxEtxMOxG1mP7dg9pK7LJihYrGZXVJ832Z2u5nFjrQ0wcx+YcGsMDPC/S+xmFkczOx/wv0tMrOnwmUHmdnz4bJFhTGZWX74c6AFMz9MM7MVZjY5ZjSWW8IYl5rZQ+E5jgBygcnh+TQysz5mNtvM5pvZ62bWPty+T+FxiRk1SkSqINlzdemlV1kvIL+UZZuBg4DGQMNw2ZHAvPD9QPafS3QscFP4vgHBINKHFdvn0cDsmM/LCcY5rQs0C5e1Bj4hGI8zm2DOwdbhupbhzykEg2NDMH9j89jzCGPbQjBuah2CEYH+K3Yf4fungNPC97OA3PB9PeA9oE34+UfAY+H7xcAPwvd3UYH5DfXSS6/SXxpMQNJZPeC+cKzQvcQf6P6/gZ5hqQyCsViPBD4v/IK7f2BmbcO2vzbAN+6+2oJBr//XzH4AFBBMN3UQwZivU919Y7h94YwoJxFMKYa77yVIiMW97+EYoBZMrdQJ+CdwopldT5D8WxJMe/ZysW27Egx08GZYAM0C1lkwDVMLD+bQhCDJDolzPUQkIiVJSStm1pkgIW4gaJv8CsghKJXFG5jbgCvd/fVydj+VYJDvdgQlQoALCJJmH3ffbWarCKY7qooSM4eYWUPgAYIS42ozmxDnOAYsc/d++y0MkqSIVDO1SUraMLM2BLOa3OfuTlAiXOfuBQSDU2eFX90KNI3Z9HXgsrBUiJl1MbMDSjnEFIKBrEcQJEzCY2wIE+SJBPNFAvwDOMeC2S1iZ0SZQTBfJWFbaPOIp1eYEDdaMKfhiJh1seezEmhjZv3CY9Qzs2x33wxsNrP/Cr93QcTjikgZlCQl1TUqfAQEeItgWqZfh+seAC4KO6ocBXwXLl8M7A07sfycYPaS5cCC8LGIP1NKLYoHM2I0Bda4+7pw8WSCGS6WEFSjroj57u+A2eHxC6dXupqg2nQJMB/oFuUkwyT3MLCUIKnHTik1CXgwrJrNIkigd4THXQgUdlgaDdwffq/WTP4pkkwau1VERCQOlSRFRETiUJIUERGJQ0lSREQkDiVJERGROJQkRURE4lCSFBERiUNJUkREJI7/D2Lp1QF4WnKhAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -5978,7 +6870,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6015,7 +6907,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6039,7 +6931,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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oymVk+w5tAVxzUq+NfVubRlg8eRCLZz3OyayjRCZ0AqDomLZqP6JDEPvMVqTeD2FznZIILRsAQFnoVgAm6LXFgAts2ur6c21UhRDbpZQtuv9t165dWampqUUtec9Lza5duyJSU1MT3J3zeJ+qlPLYWXNbNk/KCSH0wDYgV0qZJoToBHwCtAW2A3dLKc2N3UNRFOViF5nQibEzngPOnFOdOW0SfgU5dO7QGQBr4Umsxdpq33JdCQCdirS/Nxu1hXOdzIcAaNvWJRCQcpHztFE95hgClkIIAzAF2OdhWee1zom254GXpZSfCCHeAv4PeLOxGxQXF7NgwYIzjvXo0YP+/fvXzSme7corr+TKK6/EZDLx6aefupzv168fPXv2pKysrG4lan2DBg0iMTGRoqKiuq0k9f32t7+lc+fO5Ofns3r1apfzN9xwAx06dODYsWOsXbvW5fzQoUOJjo7myJEjbNy40eV8WloaERER7N+/3+3CmpEjRxIaGkpGRgbuevFjxowhICCAnTt31m1xqW/8+PEYDAZ++uknfvnFdWfUhAkTAPjhhx9cVgH7+PjU7R3dsGEDR48ePeO8v79/3Urlb7/9luPHj59xPiQkpG718erVq8nPzz/jfNu2betW7q5cuZJix39ATtHR0QwdOhSApUuX1q02doqLi+P//T9tvmvx4sVUV5+5sK9Tp051c9sffvhh3UItp27dunH11VcDuPzcgfrZ+zX97G3ZcgSAPbsXAN797B3/eT2W6ioW+O5n6897tPLfflv3s7dp5xrKFuwmY/NO9GYLOUVVRLUJpXO1CbvJxJbCYqrQ7u8nqwDo0Aa6RYUC8P3RHIJOnqKo3s/guf7sKa3P00b1fuBVIBbIBdYADzZVSAgRBwwH/gk8KrSu7vWAc9Ph+8BMmmhUFUVRLmU2o4EBt95Op06dSPjPexAagmHMPWxdpfVI+w5NAKDbwXe4uksApC9HuvlAp1z8PJ1TjZRSnvT65kIsAZ4FgoG/ABOALVLKLo7zHYCvmpqbVXOqiqK0hpaaU/1p5s3Ec5CoeG2I9+RxbeFgZFww72/U5lLv/a22Ra0mUxvk8+uexLK9YwAYmezoVebv0SIppZ+x8aLZ1Jxq62hsTtXTMIX/E0KsEUL8nxDCJWixO0KINKBQSrndw2ecXX6SEGKbEGLbyZNet+eKoijnTTwHCaMF2pnoFEgZfe73+ZW7/fbbE8LDw1O7du16xtL9f/7zn1GdOnXq0aVLlx73339/nLuykydPjuvUqVOPbt26Jd94441XFBUV6QFqamrE6NGjE7p165acmJiYvGrVqsb3QzXAo+FfKWU3IcRVwB3A34UQe4FPpJQfNlLsGuBmIcTv0aIwhaANIYcJIXyklFYgDm042d0z3wHeAa2n6ukbUhRFaQ2/fJ/LgR9PR2Drladte1s2dweW4ikAGIKvAqCoROupRgQEU2R9Q7uuRJsxqynJBMCvpDtF1koi4oIg/d7z8yZ+JSZOnFg0ZcqUwvT09E7OYytXrgz+4osvwvbu3bvX399f5ubmum3fbrrppvLXX3/9uMFg4I9//GPs9OnTo998883cl19+OQLgwIEDe3Nzc31+97vfdR02bNg+b5OXeBxQX0r5o5TyUeAqoARtPrSx6/8mpYyTUiagNcbfSSnHA+vQtucA3Aus8KrGiqIoF8CBHwsoOl7ZoveMiAui21UtFnb2sjFs2LDKyMjIM1YYvvnmm5F//etf85zZZmJjY63uyt52223lBoMBgEGDBlU5Ywjv3bvXf8iQIeXOsiEhIbaNGzd6nYHH0+APIcBItMbxCmAZWuPaHNOAT4QQs4GfgfeaeR9FUZTzKiIuqC704CeOOdW/T+5D4UwtzGDUVG2+tP6Wmmf/UFH3NUD23VoowvipZyaJuBRN/9/0DodOHWrR1G9d2nQx/eOaf3gdqP/IkSN+GzZsCH7qqadifX195Ysvvnjs2muvbTR914IFCyJGjx5dApCammpatWpV2KRJk0oOHz5szMjICMjOzjYCXiXL9nT17y5gOfC0lNLrwKlSyvVoQfmRUh6h+Q2yoiiXkbOHXFuaM5zgMkc+0x+qTeyodR9bfXCpNrD3+vRvAMi1Woj1MbBs7g6uckRQcjamRccdw7rKeWOz2URJSYl+586dmRs2bAgYN27cFceOHduj07kfkJ02bVq0Xq+X999/fwnAlClTivbt2+efkpKSHBsbW9unT5/K5uSt9rRR7Sw9WSasKIrSgpxDruergdpRW13XWDYl1sdAH19/t+eaO6z7wYkilhacqnvdM8iff3R1u97motCcHmVriY6ONo8ePbpUp9MxZMgQk06nk/n5+T6PPPJIXEZGRkC7du3MGzZsOATw2muvtf3666/Dvv/++wPORtdgMPDee+/VvZ/evXt3T05Odg2D1YSmUr+9IqX8E/C5EMKlUZVS3uztAxVFUbxRf8i1Jcxf9E+O/aht0evZQUuqkZHzDwCqjMMJA641aVtapDEcaWwDQKjUQgoOtm89fbNq2FUNvX0ECMFWTgdc2Poj8COE2QRS71mfZGnBKX6prKZHkPvGWmnYiBEjSteuXRs8YsSIit27d/taLBZddHS0dcmSJVn1r1uyZEnIq6++Gv3999/vDw4OtjuPV1RU6KSUhISE2JctWxai1+tl3759W7ZRBT5w/K0iOiuKct4Z2n6Doc2mJrO9eCPUkEHYVXakQUdgaDVVZQ03YNLYBvT+YGsi3aYQyAaWfeqFjkDpR+HbWtppXcRwgLrX9Vliauhms/D2d1qEJmO4Dbre48G7uryMGDGi05YtW4JPnTrl065du16PP/74iUceeaRo7NixCV27du1hMBjs77zzzlF3Q7+PPvpoR7PZrLv++uu7AfTp06fyo48+yjlx4oTPTTfd1E2n08no6GjLRx99dNSlsAeaSv3m3GN6pZTy1frnhBBTgA3NeaiiKIonDG02offPAlJa9L7SoCO+ixZzpmfPEdw25k4AfnEsPnpq8h8AmD9/PgDp6en1Fh/d7nrD+doCpefSn3M59eHkh7GbPQqVDjYLSA+vvYytXLnSbYO3YsWKJhvCnJycDHfHExMTzVlZWW7PecPTOdV70faY1jfBzTFFUZQWZatOaFbEo4Z88f5IAG4b43pP68mT2IqLyb5bi5xa214LcJ999z3U+A11fK2t3j1iqyHHruUCMRq1BaLmr291uWcZgjBDONWbtAG/msxM/Lp3J2ryWJdrDV8tBSDKmbRcueQ0Nad6J1qc3k5CiM/rnQpG26uqKIryq2ErLsZu8mwHRY7dTJm0ESoaXyEaZgino38CVB8EwK97d0LS0s61qspFqqme6g9AHhABzK13vAJwnRBQFEW5xOkCAoh/eyEAKa/dR+eq7cR0j2HHXgsA8cmOzDJbtVBxYwfYIf+wI2bvcpf7OedOoyb3Oj9vQLmgmppTzQaygUHnpzqKoigXj85V2wk35wIxjV+oYvYqDp5GVBoI/AtIAoyAHqiSUoY0WlBRFOUS0j9nJ1fm7SP77nUA1ObUUkEEvh3bUuOn7V3N/q4tADWWcsdrx3+D361Di8J6JnOeliu1elNgk8//Q4kWlD/7I63H65vUnegnnmj+G1LOO08XKr2OFqLwv0A/4B6gW2tVSlEU5UK4otZISfxofvDTgk3IjtcAIPyCKdeFE2JXS0mUxnnaqCKlPCSE0EspbcB8IcTPwN9ar2qKoijnV2VYD8z+UcR0jwbAnKPtKjR27I4f0O2qFOIHazF7/WY9DkD8DNdtNPV5M6f6J8fq32XDbmtW/S8XJpNJDBgwoLvZbBY2m02MGDHi1Msvv3wiMzPTOGbMmM6lpaU+KSkpps8+++yon5+fS+SNwYMHdy0sLDTYbDZx1VVXVSxcuDDHx+d0czhjxox2Tz/9dNyJEyd2xcTEuA3M3xBPG1WTEMII7BRCzEFbvORxhhtFUZRLhbG6kJFTfw9A3rPaftWYqTsuZJWUs/j5+clNmzbtDw0NtdfW1or+/fsnrl27tmzu3LntHnrooYJJkyadGjduXMdXX301Ytq0aS4JuVesWHE4PDzcbrfbGTZs2BXz5s1rM2nSpFMAhw4dMqxduzYkJibG3Jy6edow3o02j/oQUAV0AEY154GKoiiKci50Oh2hoaF2ALPZLKxWqxBCsHnz5uD09PRTABMnTixeuXJlmLvy4eHhdgCLxSIsFosQQtSde+ihhzq88MILx+sf84anScqzHV9WA7Oa9SRFUX5VWjuDDIChgw2Dr7YPdMWH77P/0OG6c7st4Ry0RXh9T+E3Cilg7axlLufGIxDIukhK15vNGI3GZtZeU1hRQ1FlLQ+/3XSCL1M7LZrSWMe1ye1DmDGixzk9vzWdeOLvHWoPHmzR1G++Xbua2j/zzyYD9VutVnr27Jmck5Pje++99xYmJSXVBgcH25y5UhMSEswFBQUN/uP95je/6bp79+7Aa6+9tszZEH/44YdhMTExlkGDBjURl7JhjfZUhRB7hBC7G/rT3IcqinLpa42k3Wcz+OrxD9H+X9x/6DDV9tPTYwdtEZTgffYaKUDn474/IZDoOf0Mo9FIUOC5ZcgpqqzFVKtCD7Y0Hx8fMjMz9+bk5OzesWNH4O7du/28Kb9p06aD+fn5u8xms27lypUhFRUVujlz5kS/+OKLJ86pXk2cV2E/FEVpUEtnkDnb2YH0/XWCv858GoCPnl1AIKVs/duEFnveovH/AWB8ujaXyvwlLXLfAF89iyc3vd1/pGOhkifXXgw86VG2toiICNvgwYMrNm3aFFhRUaG3WCwYDAaysrKM7dq1Mzt7tABDhw4tfeWVV+oazYCAADlixIjSZcuWhcXGxlqOHz/u26tXr2SAgoICY58+fZK2bt26r2PHjh4vVvIk+IOiKMoF8ZU5lQ3mJIJ+Psix1MEAbP5ZC/dXrtOGfkc6XreE4Y48qs57/qNSC1k43c0zUiqqPXp+aaqWBedVD+r5izGGHuY8zyt8mTpx4oSP0WiUERERtsrKSrFu3bqQv/zlL/kDBw6smD9/fptJkyadmjdvXtu0tLRSZ4/WWbasrExXWlqqj4+Pt1gsFr766qvQa665puKqq66qLikp2eW8LjY2NmXbtm37WmX1rxCiAurGRIyAARX8QVEuK7m5H5NfsLLudUCXCsC1N9mSvqu+mWyiaGozirVQC4TvifZZe4k+fkh7IfTUnwWrNGsNZY/5PwHwo8lXe33QNXdIQEk+leHRWE5Ugc2sZZhxqDB/T5XlR+2F1CGFncp9Fpd7nC3UbqNWVpO+Wvs+dw/vzrSrpnn0vi4nx44dM0yYMKGTzWZDSiluueWWkjvvvLMsNTW1euzYsVfMnj07tkePHqYpU6YUnV22vLxcN3z48C5ms1lIKcXVV19d/thjj7msEG4uTxcq1f3WOJZJ3QIMbKlKKIpy8csvWEll5V6CgpLP2zP1+gC6G20s692VOSu09M5/HXkjAP/44gWG2bbTb2c0NZn7sJtM6AKaXjOzLC+eIrMfEcYa0BkAgbPPUCS1cIQ9K7VGV8hqpPCne62blaCBMSSEpfLIcR3kHwRzJRi1+ddHozdyyFhIF3MUNrtEikr8/Txc+xIY6dl1l7EBAwZU79u3b+/Zx5OTk8179uzZ11jZDh06WDMyMhq9BiA3N3dPc+rmcfAHJymlBJYLIWYAjzfnoYqiXJqCgpLr0rAtW6ft3ex7S+vNqQY1MmQ6zLadRJkLaIEadAEB+HVPavKeujKICoCxAwIw52kLrYwxWmP48XotgtIdg1c4a6DF9O2X3vhN5zvi4KR/AYBh9bck0Y75Q+fXreSdP+HSmCdVzo2nw7/1w3vo0EIV1rRKjRRFUTy0X8TSL/0LCu6+B4D45xc2XSjH0RdIf45SZ7SjdMcA8w+OHKuOxlFRvOVpT3VEva+tQBbaELCiKIqiKA6ezqk2MfahKIpyfhWaBlBU3Ztjc3dQ4zcUgB1ztSFp68mTWBtYuFRUVQjAx/d9hDRr+0fFtgwAymUoIaKstauu/Ip5OvzbCXgYSKhfRkp5c+tUS1EUpXFF1b0xWdrjbu2xtbjY44VL9YWIMrokN52iTVEa4unw7/YiR/IAACAASURBVHLgPWAlYG+96iiKonguwHCCkVOHk333KwDET9UyyGTf/QroIP5d1znWxbO0edSxM8Z5lUFGUTzhaaNaI6V8rVVroiiKoigeaCj126hRoxK2bNkSHBwcbAOYN2/e0auvvtplL9OYMWPid+3aFSilpHPnzjWLFy/OCg0NtR84cMB47733JhQXF/uEhYXZPv744yNXXHFF0xuM6/G0UX3VsYVmDVDrPCilVPmQFOUS09xA+M5gD86tNHk5JZQHFZK++l8EFQQRWNTwsKlPtR2fam2Qa789hiOynUfPLA5uA8CAxVtBdAdp56NnFwDwZykQwiVVple8CXbfmKeKtXnYpx33yTKWA1pg/L155STHqDg5Lamh1G8As2fPPu4MkN+Qt95665gzU80f/vCHuOeffz7qmWeeyZ8yZUrcuHHjih9++OHizz//PHjq1Klxy5cvP+pN3TxtVFPQ0r9dz+nhX+l4rSjKJcQZCD8i7twCxZcHFbI3fAt6ILAoEKPJiDnAfQpKn2o7OqvE7iM4IttRQhDheBmMX9qx+5wOTC+ExEfXvPRcTqeD3Xu9Zd9jyTEh3HJlbKvd/3LUUOo3TzkbVLvdTnV1tc5Z9uDBg/7Dhg07BpCWllYxbty4Lt7WzdOfpNuBzlLKZiVtVRTl4tKcQPjOcITOYA/pq/+FHpg/dD7z8+ZDOKSnu98osHjW42CEsTOeY9/bm0kAFk++tclnOuPqLuvd1eXcssfe96r+DfE02H2j5ocCsDhdu0/6aq1nOn/orzvgw9qF+zqU5Fa2aOq38Ngg0w33JHmd+u3666+veuONNyJnzZoV++yzz8YMHjy44vXXXz/u7+/vdjhj9OjRCevWrQvt0qVL9VtvvXUcICkpyfTxxx+3mT59euEHH3wQVlVVpcvPz9dHR0d7nGbI0yTlGYDbZK+KoiiKcr6dnfrtp59+8nvppZdyjxw5krFr1659p06d0k+fPj26ofJLlizJKigo2NW1a9eaefPmtQH417/+dfz7778PTkpKSl6/fn1wVFSUxaeBNIEN1svD68KATCHET5w5p6q21CjKZeragqMMLDoGecMZmu/IrNJAqrQh8ojj/J66+Udn764xziwx7HTTGTIPB6Pa/nIhedKjbG3O1G8rV64MffrppwsA/P395cSJE4vnzp3bDrSE5EVFRYbU1NSqxYsX12Vf8/HxYfz48SVz5syJnjJlSnFCQoJlzZo1h0HLZvPll1+2iYiI8CoZrqeN6gxvbqooyoV1dkaZ+pqbXebsYPoDi47R0VQG4YBNIm2yLpbu2QLt2nCoOa8SWWMFKak5XOh6obSDPD1aZw/T0qbV5JXxS3kAByr8684V27aC1LNw/Dqk1CEE6NInAmCt0JKT+Dhe11dSc4pwvzYUzlrEFTWR2PR5MP85AP5LJV+KKi++Kw6WKq2BX60Nf+8v2U9ieKL391E80lDqt+zsbEN8fLzFbrezdOnSsKSkpGrQEpI7y9rtdvbu3evbs2fPWrvdzrJly8K6du1aA5CXl+cTFRVl1ev1PPnkkzF33nmnS5abpngaUWmDtzdWFOXCaY2MMkFByUS3G3HGsZyAULqnf8HKZ15HWm2MbDvEbdmT2VpPNbJtZ548nAU2G/+yu1miYa4Cuw10egAev1KbS317w0F+Kd1Iqa2MML3Ww5UYnYUQAoTes4Uq4X5tSAiNB8Cmz8Ns2Fl37ktRxX7MJNbd20PGwDOyyySGJ/L7zr/37h6KxxpK/TZw4MBuJSUlPlJKkZycbFq4cKFLTnApJffcc0+nyspKnZRSJCUlmRYsWJANsHr16uCZM2fGCiEYMGBAxYIFC3K8rZvKp6oov1L1M8rU11rZZYRRXxdE4YMTRSwtOL2r4WSUNnwbmeDPgUIdoOORtJ6uN8l3ZNuKTgHgUGU1PYL86TBmML6zDtCOaMbO0HqVyxwhCd0tuMp2BtifP6/ROmsZZLrVLTBidTqJaIuvlItXQ6nftmzZcqCpsnq9nh07dmS6O5eenn6qqe04TfFooZKUMlhKGeJoRP2BUcC/GysjhPATQvwohNglhPhFCDHLcbyTEGKrEOKQEGKxEMLLj4SKolzslhac4pdKD/OHNqJHkD+3tWvTAjVSlPOjNfOp1gLXSykrhRAGYJMQ4ivgUeBlKeUnQoi3gP8D3mxG3RVFuUjF7q2k7yETPYKsABRma8EQouIryMjTPsv3/K7CtWC+41h0/XMVLCOHomPafK2zh9oSe20VpaW1Wj5VR+PrXLVgcPxxBowY5zj+PjAT1agqyq9K9CETQcVmCPJv+uJ6rJVWrCYblLqOztlN2krgmkztXBDQNuNIXdzf+moyM/Hr3t37iivKOWrVfKpCCD2wHegCvAEcBkqllFbHJccBt6FGhBCTgEkAHTt29LCaiqJcLCrbGuvmOxfP+hSAkVNH8/6ftfnK6VNdF/Jk3/h/1BSa8evV1+XcervW2726ZnWTz/br3p2QtLRm111RmqtV86lKKW3AlUKIMGAZ4PFHRynlO8A7AP369Tu3AJ+KojTovwf+y5dHvgSgzf5qwo7UbUVHGsORRvdzmvfqfRAI5sx8Cov0IUz6a5GTAHPNjQB1r09mHSUyoZNH9fGLMhL/gWt2GT/HveIdC5UU5WLk0UIlIcT7jobR+bqNEKLxZXX1SClLgXXAICBMCOFszOOAXC/qqyhKC/vyyJfsL9kPQNiRWvxKrHXnpLEN6N0P4QoEzpipYdKfjvaGFxRFJnQi6ZrrWq7SinKR8nT4t5ejYQRASnlKCNG7sQJCiEjAIqUsFUL4AzcCz6M1rqOBT4B7gRXNqrmiXAZaKqNMfWcv8DlxohOmgmsxVSSyPvAIBEJkfGcA8vPzAYiOdY32VlW8BYDtbYdhyasCHRiiewBwRaa28ndpQr1ZosPA4c0cMoTRxVJ69u289tHWHFbsPLfP5CqDzKXNarWSkpKSHB0dbV63bt2hzMxM45gxYzqXlpb6pKSkmD777LOjfn5+DY50Xn/99V2OHTvme/DgwV/qH58xY0a7p59+Ou7EiRO7YmJirA2Vd8fT2L86IUTdx1AhRDhNN8gxwDohxG7gJ+AbKeUqYBrwqBDiENAWLfm5oihuODPKtKSIuCC6XXU69VpBQUcqK5sOGdhSulhKucHksiffayt25rI3r/yc7qEyyFzaZs+e3a5Lly51e7ceffTRuIceeqggJycnIzQ01Prqq69GNFT2/fffDwsMDHQJQXjo0CHD2rVrQ2JiYpqVQMbTnupcYLMQ4r+O17cD/2ysgJRyN+DSm5VSHgGu8qaSinI5a05GmeylpwjPzSU4fLr7Cw45/gD/MeeDEfoZoyk0apGPooxaTzXPqMX0jTHGuN5D5EB0CovTB1H49m6tnCP4w+xZ/wNwm/0l++6WW+yfHBNy7hlmlEvS4cOHDV9//XXo3/72t7yXX365nd1uZ/PmzcErVqw4AjBx4sTimTNntp82bdrJs8uWlZXpXnvttXbvvPNO9h133HFF/XMPPfRQhxdeeOH46NGjvU77Bp4vVFoohNjG6fypt0kpXaJZKIpycQjPzcW/rFzbd9JaolMgZXQrPkC52H395isdio5lt2jqt4gO8aab/vinJgP1P/jggx3mzJlzvKysTA9QUFDgExwcbDMYDAAkJCSYCwoK3AYXevTRR2OnTJlSEBQUZK9//MMPPwyLiYmxDBo0qNmRSxptVIUQQVLKSgBHI+rSkNa/RlGUi4M0W6gy+FD6Xdsmr30iVNva8u6hray3aP8hXXdYm2f8qr0WSnDY3jyO2GrIOTte79crgBUIg/Ycua4YAKNRG15+/44XXJ5nN5nQBQTUreatryZYG61zd66xFcT1VzCfCxUI/9Lw8ccfh0ZERFgHDx5sWrVqlVeZIX744Qf/o0eP+r733nvH9u/fX9foVlRU6ObMmRO9bt26g42Vb0pTPdUVQoidaIuJtkspqwCEEJ2BIcAY4F3Afb4nRVEuCGm1IG1eZaxqUo7dTJm0ESr053QfXUAAPm2bbuzP1tgKYucK5nNtEFUgfO940qNsDZs2bQr65ptvwmJjY0Nra2t1VVVVusmTJ3eoqKjQWywWDAYDWVlZxnbt2pmdycwBhg4dWhoTE2PJyMgIiI2NTbFaraKkpMTnqquuSnz99ddzjh8/7turV69kgIKCAmOfPn2Stm7duq9jx44eL1ZqtFGVUt4ghPg9MBm4xrFAyQLsB74A7pVS5jf3G6MoypnOTtnW3DRtnX1s6NDX7fes3JqHaafL1BIAupwsAPxTBtPvSCbYLPg7HqeTx7VzXXqhz1pLOPC7hBtc7mGpjcLgW0hURy2A/+xDowC4t8urDdQw3/HnTNnfZYMxsFl7URPDE1Ug/MvEG2+8kfvGG2/kAqxatSp47ty57T7//POjw4YN6zx//vw2kyZNOjVv3ry2aWlppc5k5vXLO+dZ9+/fb0xLS+v6448/7gcoKSnZ5bwmNjY2Zdu2bfu8Xf3b5JyqlPJL4NzHVRRFaVJLpWzTWfXoqw11r007T2LJq8QQ4zrJ2rHGh9haA+sPlmI2aa2p0THKa5VaEvD1wpdSi/bfxfricDdPtKKr9kNfOQaAoGo9laHN6CmflUJNUbwxd+7c42PHjr1i9uzZsT169DBNmTLF63yo58rrgPqKorSu+inbmpumrWZxZ5djhpigutW59UVOOU6wTWCICeLUwaMABMZrqdeEY5+qIbodwqRNPxni27nc42yVldXkdwmA8V94VW++u8e765XLXlpaWkVaWloFQHJysnnPnj37PC2bmJhoPnuPqlNubu6e5tRHNaqKchH7vi38FC5Y+LN3aydmhWu9vRmOcpY4bZGjwc19EoWBQl/J99cHczJO66lGdtP+zs+vAiA6OpiUPG0u9dvrmx6K/qXShx5eBtNXlF8D1agqykXsp3DBcX9ocAd7Cwg3lRNaU8ngp9/BUq01ogZ/bdjXbNbGgY1GI9k+WkzgAU8/4dF9I40+ZBsNTV9Yj8ouo1zqmtpS427ypI6UsqRlq6MoytniqmFZ765NXrdt2zb27NFGrNpUliGBQSs+AMDfFoREUmJ3XazUxtQTX5uZkKICpN2GEGC0aWszzGYzRqOR6PBQiiwWAHr6tV4PVGWXUS51TfVUt6PlQBVAR+CU4+swIAfwLO2Eoiitbs+ePeTn5xMdHY0EJKdDnkrHkYbU+hjZfMN1YK4kwHh6ThUgJSWF+H79VJYYRfFAU1tqOgEIId4FljlWAiOEGAbc2vrVU5RLR3OD3/9QbWJHrRbARe8/BADbsm8AyPeV6HSCsXmbm7xPfn4YEEa0OZreUutNbo8ZBkBZjtZDDe3ourK2fc4B9DrBX2c+DfOHawfTX/L6fdTXEsHum6KC4SsXI0/nVAdKKe9zvpBSfiWEmNNKdVKUS5Iz+H39DDCeiDF/zrNiI0YhEJYaAKTOD4BaGwi7ILC46dwXZumY/yw2Eq8/wSFbe4+er9cJDHpPc2t4xhnsvjUbPRUMX7kYedqonhBCPAl86Hg9HjjROlVSlEtXc4Lf//LMIyRYcgjs2JuKSm2PerBjn2pGpQmAHkFNh1fNy3cEv4+OJH+fH6YyA4tna8Hmv3/2UwAGuwk+//G2o17V11Mq2L3S2s5O/TZq1KiELVu2BAcHB9sA5s2bd/Tqq69uMI7vhAkTOnz66acRJpPpZ4ADBw4Y77333oTi4mKfsLAw28cff3zkiiuusHhTJ08b1TuBGcAytImZjY5jiqK0gCxDZ3qkf8GBHeMA6vapTndsgfFkodLq+Vo0ofT0dL6+Q5udubo1KqsoFwln6rfKykp9vWPH09PTTzVVduPGjQGlpaVntIFTpkyJGzduXPHDDz9c/PnnnwdPnTo1bvny5V596vQ0S00JMEUIEeiM/6soiudOLf6U8lWr3J6T8VpvNPvue6gZqu1bz35ZC4JQO+x27fVL/2jyGbXtY+ru4wxa74kq8yGqLVksnrUb8hwHc84toH2WUctzmr76/Mx5qkD4l5+zU795U9ZqtfLYY4/Fffrpp0eTkpLCnMcPHjzoP2zYsGOgBZUYN26c1+nfPGpUhRBXA/9BSyTVUQiRCkyWUj7g7QMV5XJUvmrVed2D6U3Q+mpLFhbbKSCq0evOR0D75lKB8C+MkiUHOljyq1o09ZshOtAUPrqb16nfnGbNmhX77LPPxgwePLji9ddfP+7v7++y7P3ZZ5+N+v3vf18aHx9/xtBuUlKS6eOPP24zffr0wg8++CCsqqpKl5+fr4+OjvY45qanw78vAzcBnwNIKXcJIX7r6UMURdH2YDoD3Nf3yzO/ASD+g4UUOYZ/48dr1/k6hn/jx7mWO5uvY/g3/vnn3aZOa4xB34axM56rt/r33ALaj31bW608f6iaU1VaXkOp31566aXcDh06WGpra8X48ePjp0+fHv3iiy/m1S+blZVlWL58eZstW7bsP/u+//rXv45PmjSpY1JSUsTAgQMroqKiLD4+3sVI8vhqKeUxIUT9Qy2bV0pRFK+cvYWnJl8bAVs2dwelxf3qvgYoyw8FoMjxuj4rPvjgVSIORQHAkx5la3CX+u2WW27ptGLFiqMA/v7+cuLEicVz585tB/Cb3/yma1FRkSE1NbVq5MiRpdnZ2X4JCQkpADU1NbqOHTv2zMnJyUhISLCsWbPmMEBZWZnuyy+/bBMREeFVW+dpo3rMMQQshRAGYArgcdBiRbkcRFZbCK+1Uvj2bkpC1lAavLHunH2ENm+at+pml3IBFm2ZwpalN1AdlI9/ZTSFKxcBYOmVAEDh5z+6lPulOJxSi4EwgzaCJR1baizZBQRaA+u+BjDajZh1tZDvGiPcx16Lr61S66Xm74HoFJdrFOVi4i7124oVK45mZ2cb4uPjLXa7naVLl4YlJSVVA2zatOmMoNd33HFHXYq3gICA3jk5ORkAeXl5PlFRUVa9Xs+TTz4Zc+edd3qd5cbTRvV+4FUgFsgF1gBqPlVR6gmvtRJg1QLXlwZvpNr3KP61ngYd06Z9/CujCTvpmkmmIWEGC9e11aKFLnfkPr1OxHFSS8NKpGNgbD9mdofuYELoEZd7vH/YkecNo9agpoz2+PmKcjEZO3Zsp5KSEh8ppUhOTjYtXLgw25vyq1evDp45c2asEIIBAwZULFiwIMfbOnjaqCZKKcfXPyCEuAb4n7cPVJRfM5OPjoTJvchca6a2LJDCPdp+08ITJ6kKbYMuIACzzYzVfnq4dYRe2/K9envvenf6GYBcqYXS/7f5Z5dnhdoHnHlO7w+2at6q3IJfiZWacB+ODtAWNtYtIhrqJhXb147gaOnLm/2+FeVCqZ/6bcuWLQe8Le/cowqQnp5+ypPtOI3xtFH9F3D2jnZ3xxRFAUxlpZhrTu85rwptg9nXHz/AardilzZ0Qlu0qD9swSfHyhDpGoowZUcmABEVrr/nRzolAdBnZ71y0gp2bTjY6q9jwKHToQLb+ueTvcg1X6k3228URWlcU1lqBqHtH48UQjxa71QIoHdfSlEuDx+cKGJpwenGztRbCy0Y8PNBSoIehSAIT9J6nyeOaMOu7Tt3Zn+JtujQuf1k9JTV6ErtVHZxDStos9kJ1OtIiHBNGHXCkS0modMV5/Q+vNl+oyhK45rqqRrR9qb6APUzE5cDauJFuawtLTjFL5XVHiXjvrXkW35XugnfE36YrFoPNsBHK+cva6lu48t/nnrGbdnb2rUhvr1rRtUdjpW88VPHNfctAHi9/UZRlIY1laVmA7BBCLFASunVhK+iXEyam0HmbPUzyhz31/IgljtGef3NNoQOjCfNGIu0rDDGCG3x4NDj6+iiO06OpQs6R15SYdB+/arxpUIGehSKsLU1N7uMM4KSc3+qyiCjXK48nVM1CSFeAHoAfs6DUsrrW6VWitLCmptB5mw7aqvJtVqI9TG4nBM60DWS7eWQPY7n2r7gMvw7QTxFW73pnOrVUloqu4zKIKNcrjxtVBcBi4E0tO019wInW6tSitIampNB5myfvL2ZCGDx5EGMPCvYfeHbuwGImtyL1Uv/DMDQ2x4E4MT0SnCUS1/9DgDzh04AIHuJ11vhWlVzsss4Y/yqCErK5c7TRrWtlPI9IcSUekPCP7VmxRTlfGks2P3ZaiO0JOLZd7/pEuxeFzHcce5F7DedDpIP4NPRjtB5n7N097er2fe/9W7PFR1zNNSzPnU5d9J0kpKaEo+e4dx+k746vdmB8FVAe+V8i42NTQkMDLTpdDp8fHxkRkbGvoKCAv3IkSM75+bm+sbGxtauWLHiSGRkpEtEpKZSxG3YsCHghhtuSHr33XePeLvFxtPfcmfQ4TwhxHAhRG/AdTmiolyCnMHuW5PQ6cDgOmTclH3/W8/JLO/znZbUlGCyeDakXBPuQ2lnX6+fUZ8KaK9cCBs2bDiQmZm5NyMjYx/AjBkzYq677rqK7OzsjOuuu67iqaeeim6o7OzZs49nZmbuzczM3Fu/QbVarUybNi3ummuuKWtOnTztqc4WQoQCU9H2p4YAf27OAxXlYtRQsPuz+ToW4sRPTncJdn96+Hcs+5YO1M457pn3bPOHnSMTOmnB7s/ijOvrbkg7fXU6EFYX4N5TKhC+cilbvXp12IYNG/YDTJ48ufjaa69NRIsC6LFnnnkm6pZbbjm1bdu2wObUwdN8qs6xsTJgSHMepCiKe9nBA8kN7l23RaY+5xDvMnfnWmDhlaKci+XLl3coLCxs0cghUVFRpltvvdWjQP033HBDVyEE6enpJ//yl78UFRcX+zjTuXXo0MFSXFzcYBvnLkXc0aNHDStXrmyzZcuW/WPGjGm9RlUIEQncByTULyOlnNichyqKclpucG/KjbGnl9V7KCIuiG5XeZWbWVF+NTZt2pTZqVMnS25urs/111/frUePHjX1z+t0Os7KrFanoRRxDzzwQIfnnnvuuF7f/NhGng7/rgC+B75FpXxTLgGVW/Mw7Ty9QD2xVJsycQ7R1udcYFR3riIfqtwvbrfUaj3DwlmLMPVri9VQyZal9wNgjzCgExaOfVmAPqAWW6nv6fykZi0TDfOHgyg4/TWAfQQh5lxGTh3u8jznIqRzXbWsKK3B0x5la+jUqZMFIDY21jp8+PDSzZs3B7Zt29bqzFSTnZ1tCA8Pt8KZqd8WL16c7ezNnp0ibvfu3YH33HNPZ4BTp075rFu3LtTHx0fefffdpZ7Wy9NGNUBKOc2bNyyE6AAsBNqhpeB4R0r5qhAiHG17TgKQBYyRUp5TAGNFOZtp50kseZUYYtwPj1adKsFUrv2e2KX2OVGX7cjgYq4Cuw10eixILI4MMgBlPlZqhZVPrMeoNhjR6S0UylrH2Vrs0oatOgAhAygsjuXx8jgAJssjSGEjXRSwHzOJGE9XRqcDfb3XiqI0qry8XGez2WjTpo29vLxct27dupC///3vJ2666abSt99+u+0zzzyT//bbb7cdOnRoKbimfmsoRVxubm5dbsRRo0YlpKWllXnToILnjeoqIcTvpZRfenFvKzBVSrlDCBEMbBdCfANMANZKKZ8TQjwOPA541WAriicMMUFETdbSqP3PMSeZ7Hi9eNbjnMw7SmRCJ2qOaCt//ZK6awVLHL9XMSnsL9mPyWIiwKBNG1X6jAL0lNiLkHTCZtOzY8dAt8+3+uvAX1tgL61gMwDRKSSCtlK2m7Ylhx8+atk3rii/csePH/cZOXJkFwCbzSZGjRpVPHr06PLf/OY3VSNHjrwiPj4+IjY21rxs2bLD7sqfa4q4xnjaqE4BnhBC1KJtrxGAlFI2uJlNSpkH5Dm+rhBC7EPLx3oLcJ3jsveB9ahGVTnPOsu9DIk/SFTHSmpM+wDw6+jYOWZ0DANHQ2aQ1uB2D9ca3BHZrwHQOz6SUUvWojtoIchNdCUXZht6YyAzf3HOnqwkm5UA2O2/VVliFMULycnJ5v379+89+3h0dLRt8+bNTaZ/8yRF3GeffZbVnLp5tE9VShkspdRJKf2llCGO1x7vDhdCJAC9ga1AO0eDC5CPNjzsrswkIcQ2IcS2kydV8CalZcVzkDDOLZKR7qAFUezhEgNjIARGur+PyhKjKL8aTaV+6y6lzBRCuF0lIaV0Xefveo8g4DPgT1LK8vqrsaSUUggh3ZWTUr4DvAPQr18/t9coyrkoJYKo9C8ocEQ9in/esU/VuYAo/QueX52uHXLs9/zTrGUAbEgfyeFlwyEYbv7cTeJvL7jbSqMoyqWpqeHfR4FJwFw35yTQaEB9IYQBrUFdJKVc6jhcIISIkVLmCSFigEIv66z8ytXPKPN9W/gp3P2y+LNV5ldhKtJW+eqk9jnM/ox2H7tdotMJps/9DoD3RCgA18/9Dnu3MVoZxznM2mpe5n6HyToKgJ6/aOeqzEYMQXpG/nyQO6UBP+EMNnbh1c8wc3bWGE+p7DKKcm6aSv02yfG31wEfhNYlfQ/YJ6V8qd6pz9EC8j/n+HuFt/dWft3qZ5T5KVxw3B/iqpsuZyqqxlxlwRjoOsep0wl0es8a58YYgvT4R2n39xMWwkTVOd+zpbREhhmVXUZRzo2nwR8eROttljpetwHulFL+u5Fi1wB3A3uEEDsdx55Aa0w/FUL8H5ANjGlu5ZVfL2dGmYU/HyQCPMo1Omr359hMxbyas65u76m9yP3QrG+MNq3/xaEFrNRn8L8rffHr7lj9m+9Y/RudQmbJmQuV8vPzAQgriMbHnE0lzpCAjWuzv5qwI7Vuz/mXtgHg6SmuO8vqB7tvSpaxnIB4CIgJQV+SR2J4ogo3qCjnmaerf++TUr7hfCGlPCWEuA9osFGVUm5CWyXszg2eV1FRPGMrLsZu8j4v6f+u9CWrjYXurVAnp7AjtXUNpDeaG+xeBbhXlAvD099wvRBCSKlNVAkh9IDara5cdHQBAcS/EYc4DgAAIABJREFUvfCM4PbuFM5MArSA936r0+nO6cVIdQuVhs6v6yE6z82fr/2dPjSdjLf7n3GuMYu3Pg7heB0Y3xsqGL5yOXGX+u3RRx9t/+GHH0Y4IynNmjUrd+zYsS7ZZhq6rqamRtx1113xu3fvDhBCMHfu3GNpaWkV3tTL00Z1NbBYCPG24/VkxzFF+VWLyOpK22MJLPtFa/hq8rUdYMvm7qCqzSQADnqwelcFxleUlrdhw4YDMTEx1vrH7r///oKnn366oKmy7q57+eWXIwAOHDiwNzc31+d3v/td12HDhu3zJhawp/lUpwHfAX90/FkL/NXjpyjKJartsQT8y1o3dbAKjK8oF4e9e/f6DxkypBy0mMIhISG2jRs3ehWZxdOeqj/wrpTyLagb/vUFvJ/AUpQWMn/RPzn247a618UMBeDpKSMZZtRCAL41ZYbbsvcGmpE+Bh6f+zhHQrWYv4/PfVw7ae6s/T33cdpW9cFqqKQ0XFvYVGrOJzo6mpHpvydj5GQAek79qcm6qsD4yq/R3n3TOlRVHmjRcGCBQd1MyUnPNyv1G8B7770X9cknn7RNTU01/fvf/z4WGRnpNkKLu+tSU1NNq1atCps0aVLJ4cOHjRkZGQHZ2dlGvGjrPO2prkVrWJ380TLWKMoFc+zHbRiK3K+obYr0MSB1Tf/464QOg+70Fp3o6GhSUlKa9UxFUVrOpk2bMvfu3btvzZo1B999992or776KujPf/5zYXZ29p59+/btjY6OtjzwwAMd3JVt6LopU6YUtW/f3pKSkpL84IMPdujTp0+lt2ngPO2p+kkpK50vpJSVQggVrFRptrNTs9VXP02bJc6uff2ja1q2cbHVRMTuQedYY35rVRYACYGFSLYhsNNd5z44g1+VhXJ/X25PWsUhRw6K29uv0r4wV2lhBaN78cvKFKCWHqnf1Cv9Ddt3gI+tCr2+WXmMFeVXwdMeZWtwl/pt2LBhde3UQw89dDItLa0rwOjRoxMyMjIC2rVrZ96wYcOhDh06WN1dZzAYeO+99+reU+/evbsnJyefkae1KZ72VKvqhyoUQvQFPNiOryjuOVOzea3qJJi1chHsIbDWffAFgR2EvcHblPv7ktumgSAJjcTprU+vD8RoVDF7FeV8Ky8v1506dUrn/HrdunUhvXr1qs7Ozq4bVvrkk0/CEhMTqwGWLFmSlZmZuXfDhg2HQEv95u66iooKXXl5uQ5g2bJlIXq9Xvbt29erRtXTnuqfgP8KIU6g7T2NBtzvVVAUD9VPzVZf/TRthp+1NIhRwx3BH+b/Tfs7/QtOzvkzpb5GIh/TQvM99Wdta8vymU0HSvhiyhQi1uwjOjqa+xwBHiLCXXeqGvy0bnDEy66/KjXHBb7do5p8lqIoLauh1G+33nprp7179/oDxMXFmefPn+82pduUKVPi3F134sQJn5tuuqmbTqeT0dHRlo8++uiot3XzqFGVUv4khOgOJDoO7ZdSXjxBTxXFSxF79xFQWAjR0c2+h1/37oSkpbVgrRRF8URDqd+WL1/uUSPY0HWJiYnmrKysjHOpmzfhXRKBZMAP/n97Zx4eVXn2/889SzayQAgkIYREtkBYIsurFfFl0SpUrEVQ1CoaWkEtLbZa7SICWi2vay3VCoooWAFFEQF/cUGMRXABlBiTsCdAWJMQsieTmef3xzkDA5lJJjGBBJ7PdXFlznmW85xDTu55tu+XwSKCUmrxj7m45vzCUwi/Idzzpl88s5WNlRVsrT41m+CodmIPtLJs/iZ2lhnnJ31t2rQdvt74OX8Tf66IBWC6KXqwy96eno5iv9tb0bkzA5YsZvYZAg+euB1kEu6/FThdtB6AYqMtDdHnYNME7huDFsPXaM49fs2pisgsYJ75bxTwJPDzFmyXpg3iFsJvLFurK8mvPTXwYQ+0EhLmh/H3GfR0FHNlhdfRnmbDLVrfGtFi+BrNuUdM5cH6M4l8D6QA3yqlUkQkGnhDKfXTlm4gGH6qmzdvbjij5qxzfPlblKwxVs1uDDL2iQ6ralhsy1PwPjWpI6Udck72MqOOBNKxwNC7rbAZwTXEHXRd5pYzixXcK3tdRh7ldCJWK5aQhhemR5kKRwXxoVQ4Kgixh5AUmVQnn1sJKSreUDzKMnucyV0a1yM8lruXTokXeZUp1GhaChHZopQa2px1btu2LTclJaWgOetsa2zbti0qJSUl0Vuav8O/lUopl4jUikg4hgeq1/0/mguLkjVrqMrJOeXw4oOVSQP4qLtHHru5atZxI0dLX4aAAnZajeHc+O0uAivgeDi4RE56ozaEWK2IrfE93BB7CJFBLaua1CnxIvpePrJFr6HRaM49/gbVzSLSHngZ2AKUAS03OaRpUwT16UPCksV15h89Sf92J7vKKukXamiIOA4aW2HsXTrRN20gvQonEhLWA4CAqv9AAITH/BKAqAAb0QFmsPSwZXPs32jUET+s0W0uKTb2vcZ2q7v62JOAsLKTNnRwak50zjQtWq/RaOri7+rfe82PL4lIGhCulMpouWZpzkf6hQaf9EV1izl0vrYXM99MIrIyisRYI+AetBpT/b1Cg71XdBbRurwajaYx+GtS/j6wDFillMpt0RZpzhsyPkkj+4vPADg2cDQAy99fCED/6p8AsH7Om7hcfSgIOkLpvgUABFUZYiff73usbqU1ptjDvnbc02UjWIQ1kX9vdNt65r5OQEAAl75+Z6PLajSac09BQYH1tttuS9i+fXuwiLBgwYLcAQMGVI0fP757fn5+YFxcXPWqVav2eNP+dblczJgxI2716tUdLBaLmjJlyrGHH374qDs9PT095Morr+z78ssv70lNTT3emHb5q6j0DDAcyBKRFSIyUUSCGnMhzYVH9hefcSy30Xun/cciGFokjScgIIB27bTEoEbTVpk6dWr81VdfXbJ3794fsrKysi6++OKqWbNmxY4cObI0Ly8vc+TIkaWPPPKI143o8+bN63jgwAH77t27M/fs2fNDampqkTuttraWhx56qOvll19ex4fVH/wd/k0H0k13mtHAXcCrgN4Ud6GxeRF8v+LkYXSXbOPDomsZXmF6+S4KA2CU2gMJ0LlbGf0OfAVA/27GytyaQ8bcZL/YUHb+YLjCPHxxDQDLjaxMMo9P47B5vZiBOA7UUBISTGpqwwpKZ5L36fpGl9FoNK2DwsJC61dffRW2YsWKXICgoCAVFBTkTEtLa5+enr4dYNq0aYUjRoxIAvLPLP/KK690Xrp06R63WH5cXNxJLeAnnnii8/XXX3988+bNTfrW7bf4g4gEA9dhyBMOBl5vygU1bZzvVxiLhWLOvVNLSUgw+R0j0eq7Gs254b7sffE55VXNaq7Sp11QxT/6dqtXqH/79u0BkZGRtTfeeGNiVlZWyMCBA8tffvnl/YWFhbaEhAQHQHx8vKOwsNBrjNu/f3/gkiVLOqxdu7ZDZGRk7QsvvLBvwIAB1Xv37rWvXr26w5dffrn9pptuarmgKiJvAZcAacC/gHSllG+1ck2rpz6XmPpoX1gGXERxjTGPWV1j9BwDa/pSUFEILgdqn1FvXofNVHbJYI+1ir/G/QaAx8v+DYArPBiLOLAH5VH1g7Gyd0u0IdxQGhBjHh+u24AONtNBJoKioghqaqKof/2uRqM536itrZXs7OyQ559/ft/o0aPLU1NT42fOnHnaUK/FYkHE+/RQTU2NBAUFqczMzOzXX3+9/Z133pm4ZcuW7ffee2/83LlzDzTW7s0Tf3uqC4FblFJezV41bQ+3S4w9NrT5KnU5TokzAJVdMqgNP0xAed1pDYs4sNi8O8zUi4eDTE1NNOXl/ZvcXI1G8+NoqEfZUiQmJtZER0fXjB49uhxg0qRJx+fOnRvTsWPH2ry8PHtCQoIjLy/PHhkZWQswfPjwXgUFBfaUlJTy5cuX50VHR9fccsstxwFuv/324unTpycCZGRktJs8eXJ3gOPHj9vWr18fYbPZ1O233+63/qm/c6ofNvKeNW0AXy4x9bLICMKdU41yebc/bRxPm8QXf/wWgORZdwCw9d15UB7G6BvWEW66zfzk6nWAqcS00lBi6mYqI0UtNfaC2h0lpx37ovawnSi2k/f+5MbdA/glWKHRaFon3bp1q42JianZtm1bYEpKSvVHH30UnpSUVJWUlFQ1f/78jk888cTh+fPndxwzZkwxwIYNG3Z6lh87dmxxWlpaWJ8+fQo/+OCDsISEhGqA/Pz87915JkyYkDhu3LgTjQmo0DhBfY2m2fBXiaml0A4zGk3bZt68eft++ctfdq+pqZFu3bpVL126NNfpdDJ+/PgeCQkJUXFxcTUrV67c7a3so48+enjixIkXvfjii9EhISGul19+Obe52qWDqqZR7jIDS09QqpzcP/NjAFydJwBgmfkxDhWF3epgmak6VFRwOwCLvLjN3HmoBCK68Nrwe+ixYwciioSnDdOjoDl/AiChAZ3cZf98iYKyavZ1vKQxt3sKPx1mPNFOMBpN62DYsGGVmZmZ2Wee37Rp046GykZFRTk/++yzXfXleeedd3Kb0i5/XWrW+XNO0zZpjLtMqXJS40OL1251EGJv/DypiELEP31fTwrKqqmoObvT/NoJRqPR1Ee9PVVT4CEEiBKRDpzaaR8O6L8sbZjaY0dxFhaSd/vTVAWNIRQY/J3hLrPHWcU+l5c9osDWIGNOdXLVCwAUSjkloRYstSGn1I5KjZXoDoexb9V+9BMSnUbwa2euqsttXwFAv6wnCTgejgDL52wHTjm6+ENIgJXlWodXo9G0Ehoa/p0G3Ad0wRDSdwfVEoytNZo2irOwEFdFhde0ncpKmRLs1g510lRtBABiMYKj0xpBcDVYaqygzGHRCiMtyDwWsRKI0RO1mL9C1XYjLbjYisVpw2k75aeqHV00Gk1bpd6gqpR6HnheRH6rlJp3ltqkOUtYQkKIn1/XXcbx6+lYqp10vfiuOmXK9xkrfNt1GwTA9qIcAHpG9jnNQQagqMCoNzJqMD+Yc6pul5qqHKNcUJ8+bC/KoTA+lwfv/kuz36NGo9GcTfzdUjNPRIYBiZ5llFKLW6hdmnOMPdDK+PsHnyaKD9A/4hMAtpddBcCncZ9T63JQs7PraWL3AAMv2YXLLrwfPoTN6iYsDitlO1cDcM2uDQB82Gc4FeEVhJSHsGjRoka1MchRSpU97Mfcpkaj0TQr/ioqLQF6AN8B7pUhCtBBtY3Szv45IQFfw6LFdTR7XTWdUAoy543CWVVFzyAXFouxpq17eT7ZksA803WmpOwHlFK8N/yOU8IP5tDwx+GVKItQZAml1NWRqGrv+tQhthAigxtvEl5lD6MkOLbR5TQajaal8HdLzVAgWSkfyz41bY6QgK8JsO4HOtdJUwo8/6MtFgv2IMOUaHvVRfw/2/+eXEhUnGM4xST07Ocx/NsPgLJSY7V7UlgShw8f5mJHJXPvN7bJ5H1nCDa4j5vCpEZuh9FoNOcP3qzfPvjgg4g33ngjyq2kNGfOnPxJkyZ5/Tb/+OOPd37llVc6Wa1WrrrqqhMvvfTSgaqqKrntttsSMjIyQkSEZ555Zv+4ceNKG9Muf4NqJhADHGpM5ZrWTY0znqDUtWww51THpxoKRlWfG570/X+7nuXmntFJfzSCnzuQuc3GL8s+dup40X1GxWPXArBl6ywAhgx6k0WLNrT07Wg0mgsIt/VbWlranqqqKikrK7N88MEHEXffffeRRx99tN6N96tXrw5bu3Zt+6ysrKzg4GCVn59vA3juueeiAHbs2JGVn59vu/rqq3uNHTs2uzFawP4G1SgML9WvgWr3SaXUz/2+kkaj0Wg0zYAv6zd/y//73//u9OCDDx4KDg5WcMr6LSsrK3jUqFEl7nPh4eHOzz//PGTUqFHet0p4wd+gOtvfCt2IyKvAOOCoUqq/eS4SWI6x4CkXuEkp1ShXdY1Go9G0Dv64Ylv8jsOlzWr91jsmrOKpiSlNsn4DWLhwYedly5Z1TElJqXjxxRf3d+rUqU6w3bNnT1B6enrYI488EhcYGKiefvrp/SNGjKhISUmpWLNmTfupU6cW7d69OyAzMzMkLy8vAGjeoKqUSheRBKCXUuoTEQkBGuoPv4axl9VzMdOfgHVKqbki8ifz+CF/G3s+0VTrtUZRehjKvV8jXGzgrIZF12K398Aem8mWD44aiWoYAFs+6E9EEuZnQ/y+rGiqeWxst4k0Z1+3fNAfOpQbLjJbja05ZWVZhIYmt8itaTSaCxdf1m8PPPDA0SeffPKgiHDffffF3XvvvfFvv/127pnlnU6nFBUVWb/77ruc9PT0kFtvvbXH/v37v58xY0ZBdnZ28IABA5Lj4uKqBw8eXNZYGzh/V//eBUwFIjFWAccBLwFX+iqjlPpcRBLPOH09MNL8/DrwGRdoUG0R67UzKT8GNWUQUPcaJbvKKd9Xg+Wbg8RZDyC2Gmzm6qSAcENNKfAFJ9G1xjm7+ZtyT9kqI22D8eXvHjM90AYQBFYLWA1DiEDsBAQUkRcwmeTDhjdq3qfrAe0So9GcDzTUo2wpfFm/xcfH17rzTJ8+/di4ceN6AUycODExMzMzJDo6uiY9PX1XTExMzcSJE4stFgujRo2qsFgs6vDhw7YuXbrULly48OQ9DRo0qE9ycnJVY9rm7/DvbzBMyr8CUErtFJG6y0YbJlop5V7sdBiI9pVRRKZiBHK6devWhEu1fppkvdYYFv3Z+Jm6tk7S3ssfpeaEENR9ABR+j3IFEdbREG2g1lA9Cov8H47m7QEgMqE7ANbqkpNpAI6jW83j+m3azkS7xGg0mqbiy/rN7aUKsGzZsvZJSUmVAO65VzfXXXdd8bp168Kuu+660oyMjECHw2GJiYmpLS0ttSilCA8Pd61cuTLcarWqIUOGtEhQrVZK1bhd1EXExum7LhqNUkpJPSrqSqkFwAKAoUOHXlBbed78ah+rvss/eVxxopqKUkc9JXxQYyoimY4ynvxT7NAepiTejiTtxWIROnQ0DL8HbXgdgAeH38GxeCOodjKDqtulxa23e/Obxs9Nt9a/Zdmro0wTXGI80Y4xGs2Fizfrt7vuuqtbVlZWMEDXrl1rFi1alOet7O9+97uCSZMmJfbq1auf3W53LViwYK/FYuHgwYO2a665prfFYlExMTGON998c29j2+VvUE0Xkb8AwSLyU+BeYHVjLwYcEZFYpdQhEYkFjjahjvOS48vfomSNMW/5VtQodtnb09NheOOWWSJxYsNKbX1V0K0sm7gKT/tA93cRqZP3q6gYAC7dvwKXvRCXpRLZ9z4AVocNZ0B7cgOexhFvyAuWBxjygiEJUNYukNS0BQBU1lYSbAtu8P5awlFGO8ZoNBcu3qzf3nvvPb+CYFBQkFq1alWdvElJSTW5ubmZP6Zd/gbVPwG/Ar7HENn/AHilCdd7H7gDmGv+XNWEOs5LzjTt7uko5vkCY/5xY9AYAIZVpdVbx2eOEk4oJxFiTqy7ZQMD2tXJW2ULo8YWTpzNTnlNO5Rqh8UsZ7HZqArtQnJsHkfzDP/TzrHeR+qDbcF0DOro1z1qRxmNRnO+429QDQZeVUq9DCAiVvOcz2XGIrIUY1FSlIgcAGZhBNO3RORXQB5wU9Obfv4R1KcPCUsWE2gOiSZMSwWoI3jviac2b0luFQIEJRpDtceLD1MSHOl1oVLc7i6UBXWlIrCSqkhjV1NYheFKUxjWgV2xLvr8t4yLaiNx2YSqMu+/KmG1YYTYGtbt1Tq9Go3mQsDfoLoOuApwO1kHAx8Bw3wVUErd4iPJ54phjXcSa1bTtXbdSW1eT2Ly9tCxqhJ7UDAf0QWAUcqQC6wKc+ESq1cn+i/4LaFVBzjUeReb+xhzrkNzfgrA2iHGzz5HwGUTaoN9e9n7q9urdXo1Gs2FgL9BNUgp5Q6oKKXKzL2qmrNA19p1RDh3AYO8ptuDgumc0B27sWuFzuaiokP7dgFOYrv1rFPmv3uEWrEw+/GnmbjiJwDMfvxpALZ9a2yJmX3D0812D1qnV6PRXAj4G1TLRWSwUmorgIgMASpbrlmaMzlh7UknL1tj1ru1eVPnwj7jM6mGTm/a3/9gHKY+W6dcVXpTpsQ1Go1GUx/+BtUZwNsichBjKWkMMKnFWqXRaDQaTRukwaAqIhYgAOgDmKJ1bFdKNWHj5IXLkoMFvHvklMyxo6sLALs51Fo99kYAAr/dyc4yYxBgvJn2iLljZap57Mkx09d02bc7GVB6ernDyVcD8L6XcmPFfjJvnrPzaeV+KKukX2jD22Q0Go3mXLBt27bASZMm9XAfHzhwIPDBBx/MnzZtWuH48eO75+fnB8bFxVWvWrVqjzft3yFDhiSVl5dbAYqKimwDBw4s/+STT07uR0xPTw+58sor+7788st7UlNTG6VP73sFiolSygW8oJRyKKUyzX86oDaSd48c54eytjFi3i80mBuiO5zrZmg0Go1XUlJSqnNycrJycnKyMjMzs4KCglw333xz8axZs2JHjhxZmpeXlzly5MjSRx55JMZb+S1btmx3lx80aFD5L37xi2J3Wm1tLQ899FDXyy+/3KsPa0P4vfpXRCYA72qj8qbTLzT4pA/p0a8zAOh8rXGc9+xjACTcuphJXxt7Q5ebeY8ZmhAny3qy/P2FAEwaP5fl7xu9y0fNfIvS/g1A6vV151QXqvSTdU7cbWhwrPBSv0aj0bRm3n///fBu3bpV9+7duyYtLa19enr6doBp06YVjhgxIgnI91W2qKjIsmnTprClS5eeFIJ44oknOl9//fXHN2/eXHeDvx/4G1SnAX8AnCJSiTGvqpRSF7xGnKfbTFHA2xRHbPSaryT0HgC+fPduAFxRdiziYP8Hhpdu1WhDxL7gg/51nGAuCjxuHvevU6+ni0xpYcxp+TonBYLFypatdfe32mWEkXfrrTid5VitTfr90Wg0FzLv/Saeo1nNuxOkc3IFv3jBb6H+pUuXRk6cOLEQoLCw0ObW/o2Pj3cUFhbWG+PefPPNDsOGDSuJjIx0Aezdu9e+evXqDl9++eX2m266qeWCqlJK79r3gafbTHHERirbHSK4vO5+zMu/+IahWzJo5yw4dVKciBjD/fYaYyTeEuCs4wRTVG78zgam15X583SRsRh+uwS+YOSLdVWDCAGBdedULcH/iyvQkC+0WtsRYPdPFUmj0WhaC1VVVfLJJ59EPPvsswfOTLNYLLj16n3x1ltvRU6ZMuWkP+a9994bP3fu3AONtXvzxF/rNwF+CVyklHpMROKBWKXU102+8nmE220m571yakpiKN73FAAbKyvYWm3Mo979+T/pUnSEve29O+4opxEIXRUWHCjsCEXHjeHYGMtelMD+6h51yoWUGj3dirBoqgONCLu/2ui+BjoMR5nqmroDCpXhVkqCbDz5zW/ZH2DsR23JvaRa/F6jOQ9pRI+yJVixYkVEcnJyhdvyrWPHjrVup5q8vDx7ZGRkLcDw4cN7FRQU2FNSUsqXL1+eB3Do0CFbRkZGu5tuummXu76MjIx2kydP7g5w/Phx2/r16yNsNpu6/fbbi71d3xv+Dv++CLiA0cBjGMpKLwD/4++FLgQqqoKpVXaqcnIA2BzejkNWK7FOJ0op9nTowr//59dey8aX/kBc5R6UGD3WIIR2phC+zV5FsU1RJXV7qlZnBABOq5P2pVAcJrx2nfEtK9Bh/Ky21/3WdVWWAE5yA56mSvYTpOJ/3M03gBa/12g0zc2yZcsib7rppiL38TXXXFM8f/78jk888cTh+fPndxwzZkwxwIYNG+oM1y1ZsqTD6NGji0NCQk6uE8rPz//e/XnChAmJ48aNO9GYgAr+B9VLlVKDReRbAKXUcREJaMyFLgSUS2F1VZ8Uvl8eOooIFzxfsJ6NnftT3q4vU0vKvZY9UroTJycICu1SJ62iJpYQB4RK3eBoLM4GEQvYINKWyPhdhoJSTY0xTxsQUPe/KrAiguOhh8zeYz9+1v1n3Nhbi91rNJq2QUlJiWXDhg3hr7/++kl7tzlz5hwaP358j4SEhKi4uLialStX7vZVfsWKFZEPPvjgIV/pTcXfoOowRfQVgIh0wui5as7EAglLDG/RK/7vPkZU/ZfKrsU4tz1IbUBHXKHGaIm4BE83WWulEyuhRIb0r+NUWxIBCiGguq7GrihQAi67uC9/0uYg0BmEy+rCEVBTp9zx0MNUXnSURWPqF8LXaDSa1kh4eLiruLj4O89zMTExzk2bNu3wp/zXX3+9vb70d955J7cp7fI3qP4TWAl0FpHHgYnAw0254IXEiKr/0lsd4CCGS0xodT5D+hjzlwEVAYhTUFYjgn5eavRQL+30PBaHAqXAnGR/v4uVchXM4AMjvV6nNtjiU/S+PKqcsugyr2k/6/6zJt+bRqPRaOri7+rf/4jIFgyHGQF+oZTKbqCYBtghXRl6/xY2TFkCQJ/7jdEIt1Vaaqph7/b6tHsBuHPmOpa79XxnGRq+QWmpBAGz72k+gXuNRqPRND/1BlURCQLuBnpiGJTPV0rVno2GaTQajUbT1mhIpvB1YChGQB0L6K6SRqPRaDQ+aGj4N1kpNQBARBYCel+qRqPRaDQ+aKinelI4Xw/7ajQajUZTPw31VFNEpMT8LECweay1fzUajUZzTvBl/VZcXGx74403otxKSnPmzMmfNGlSHbeZa6+9tvvu3buDAEpLS61hYWHOnJycrKqqKrntttsSMjIyQkSEZ555Zv+4ceNKG9O2eoOqUqrpAojnKfX5ohZFTgdggelL+pCHZ+lYBZb6ZSg1Go1G4wdu6zcwrNpiYmJSbr755uKXXnop6u677z7y6KOPHqmv/Nq1a/e4P991111dIyIinADPPfdcFMCOHTuy8vPzbVdffXWvsWPHZjdGC7hBP1XN6TTVF9UiENCAuLNGo9FoGoen9Vtjy7pcLlZzmc8FAAAX0ElEQVSvXh15xx13FAFkZWUFjxo1qgQgLi6uNjw83Pn55583yoXHX/GH857TLNzCP6I47HOv+UoC7yReuXjomOFVavuqisCMMsRSQy2gau1Edr4YgNI8Y9TgHzsfY4Prf7GENK9Dkkaj0ZxLZn4xM37X8V3N+oetZ4eeFY9d/liTrN8AFi5c2HnZsmUdU1JSKl588cX9nTp1qiuabvLhhx+GRkVFOQYMGFANkJKSUrFmzZr2U6dOLdq9e3dAZmZmSF5eXgAndeoaRgdVE08Lt7dLj7Ah76eIM7BOvnyrMaQ7u/YmAH753bvU2IOptpn6unaQckPfOTAyFlBUlxdRHfAFrgors6ZtACDIYQTcWV9+YxyX5lMc7iI1LZWjMcbIRFqaIQyxvWg7SZFJLXPjGo1G00Y50/rt97///dEnn3zyoIhw3333xd17773xb7/9dq6v8m+88UbkhAkTTgryz5gxoyA7Ozt4wIAByXFxcdWDBw8ua6wNnA6qHrgt3NIf78mBiigilSEhqJRCmYK8E4I/4+euL7A7jcXQX4d1o8LqwmaPqFOfExcuLDiwI8qKEichVeYXKhFQipAqY+j/RLtq9saWUp5XgqOqCntQ0Ml6kiKTtKSgRqNpdTSmR9kSnGn95v4JMH369GPjxo3rBTBx4sTEzMzMkOjo6Jr09PRdAA6Hg7S0tA5ff/11lruM3W5n4cKFJ+9p0KBBfZKTk6sa0yYdVL2gcBEXcoTbugQDRk+xoraCEFsI450bSarKo9BlBNEaWyhiCaRThyFe6ypTwSCGx3tt8BEk5JQpQjhOOph2botjNgE2Jh82nGL6Xj6SgVeNaalb1Gg0mjbPmdZvbi9VM619UlJSJcCKFStyzyy7atWq8O7du1f16NHj5NbR0tJSi1KK8PBw18qVK8OtVqsaMmSIDqrNg5zU5U01h2H/OeafbJ17CTsD4hn8iKGDIbdOwYaTW+bdXacGt+n38mkNW6q5h3onTZvbLK3XaDSa8xlv1m8zZszompWVFQzQtWvXmkWLFuX5Kr906dLIG2+8scjz3MGDB23XXHNNb4vFomJiYhxvvvnm3sa2SwdVjUaj0bQ5vFm/vffee34HQW/WbklJSTW5ubmZP6ZdekuNRqPRaDTNhA6qGo1Go9E0EzqoajQajUbTTOigqtFoNBpNM6GDqkaj0Wg0zYQOqhqNRqPRNBPnJKiKyBgR2S4iu0TkT+eiDRqNRqNpu8yZM6dzz549+/Xq1avfddddd1FFRYXk5OQEDBw4sE+3bt36X3vttd2rqqq8upjMnz8/snfv3sm9e/dOvuKKK3odOnTotO2ls2bNihaRIWee94ezHlRFxAq8AIwFkoFbRCT5bLdDo9FoNG2TvXv32hcsWBD93XffZe3cufMHp9Mpr7zySuQf/vCHrtOnTz+yb9++zIiIiNrnn38+6syyDoeDP//5z/Hp6ek7duzYkdWvX7/Kp556qrM7fdeuXfZ169aFx8bGNtr1Bs6N+MMlwC6l1B4AEVkGXA9k1VuqCcy7dQpOl0+DAu+sh+vMj/+4+UsAUtzHr90B9AGEz2++AwCnKsUqYVy6aEKdqipULSGBNlLTGvZy16L5Go1G4z9Op1PKy8stgYGBzsrKSktcXJxj06ZNYatWrdoDMGXKlMLZs2d3eeihh455lnO5XKKUorS01BIdHU1JSYmlZ8+eJ6UIp0+fHv/UU08dmDhxYs+mtOtcBNU4wFOE+QBw6ZmZRGQqMBWgW7duZ6dlfnH6aIJVwqho5/0xhgTaiGpX1+nGG1o0X6PRtDUO/uWv8dU7dzar9Vtgr14VXZ54vF6h/osuusjxm9/85vBFF100MDAw0HXFFVeUDBs2rCIsLMxptxtOYomJiTVHjhwJqFN/YKB69tln9w0ePLhfcHCwMyEhoXrx4sX7AN544432sbGxjssuu6zxptkmrVamUCm1AFgAMHToUNWUOn775qvN2qb6+MtZu5JGo9Fc2Bw7dsy6du3a9rt27fq+Y8eOzmuvvbb7ypUrGx4SBKqrq2XBggWdvvrqq6y+fftW33nnnd3+8pe/xM6cOfPIk08+GbN+/fqdP6Zt5yKo5gPxHsddzXMajUajaUM01KNsKVavXh3erVu36i5dutQC/OIXvyj+4osvQktLS60OhwO73U5ubm5AdHR0TW1tLf37908GGDNmTPH48eOLAfr161cNcMsttxTNnTs3Jjs7O/DAgQOBAwcOTAY4cuRIwODBg/t+9dVX2d26dav11ZYzORdB9Rugl4hchBFMbwZuPQft0Gg0Gk0bJDExsWbr1q2hpaWllnbt2rk+/fTTsCFDhlQUFRWVLlq0qMPUqVOPv/rqqx3HjRtXbLPZyMnJOblmJzc3175r166ggwcP2rp06VKblpYW3rt376pLLrmksqioaJs7X1xc3IDNmzdnx8bG+h1Q4RwEVaVUrYhMBz4ErMCrSqkfznY7NBqNRtM2GT16dPl11113fODAgX1tNhv9+vWr+MMf/nBs/PjxxZMmTerxt7/9La5fv34VM2bMKDizbGJiouOPf/zjoeHDhyfZbDbVtWvXmqZYvPlClGrSdOVZZejQoWrz5s3nuhkajUbTphCRLUqpoc1Z57Zt23JTUlLqBKsLiW3btkWlpKQkekvTikoajUaj0TQTOqhqNBqNRtNM6KCq0Wg0Gk0zoYOqRqPRaDTNRKsVf/Bky5YtBSKS18TiUcAFPaleD/rZ+EY/G+/o5+Kb1vhsEs51Ay402kRQVUp1ampZEdnc3Kvfzhf0s/GNfjbe0c/FN/rZaEAP/2o0Go2mDeLN+m3ChAmJcXFxA/r06ZPcp0+f5I0bNwZ7K7tq1aqw5OTkvn369EkeMmRIUmZmZiDAjh07Ai677LLevXv3Tr7kkkuSdu/ebW9su3RQ1Wg0Gk2bwpf1G8Df/va3Azk5OVk5OTlZw4YN8yqMP2PGjIQ33nhjb05OTtaNN95YNGvWrFjzfNdbb721cMeOHVkPP/zwwfvvv79rY9t2IQTVBee6Aa0Y/Wx8o5+Nd/Rz8Y1+NmcRt/Wbw+GgsrLS0rVrV0djyhcXF1sBTpw4YY2NjXUA7Ny5M3js2LElAOPGjSv95JNP2je2XW1iTvXHYLrdaLygn41v9LPxjn4uvrkQn826xdnxRfllzWr9FhkXWnHl5L6Ntn674YYbSv7zn/9EzpkzJ+7vf/977BVXXFH6r3/960BwcHAd2cCXXnop94YbbugVGBjoCg0NdX7zzTfZAH379q1YunRph5kzZx5dsmRJ+/Lycsvhw4etMTExfhtzXwg9VY1Go9GcR3havx0+fDijoqLC8uKLL0Y+++yz+Xv27Mnctm1b9vHjx60zZ86M8Vb+2WefjX733Xd3HjlyJOPWW28tuOeee+IB5s2bd+C///1vWN++fZM/++yzsM6dOztstsb1Pc/7nqpGo9FoWoaGepQthTfrt40bN4bee++9RQDBwcFqypQphc8880w0wPDhw3sVFBTYU1JSyp977rn87Ozs4NGjR5cDTJ48+fiYMWN6gSG2/9FHH+0GOHHihOWDDz7oEBUV5XcvFVp5T1VExojIdhHZJSJ/8jg/WkS2ikimiLwuInW+HIjISBE5ISLfmnV8LiLjzu4dtAwiEi8i60UkS0R+EJEZHmkpIrJJRL4XkdUiUse4V0QSRaTSfDbZIvK1iNx5Vm/iLCAir4rIURHJPOP8xSLypYh8JyKbReQSL2VHisias9fas0M979R/zefxnYgcFJH3vJR1v1PufJ80cK3ZIvJAS9xHc9PAO7Xc455zReQ7L+Xd79R3Hv8C6rnenSLyr5a6n/MdT+s3l8vFp59+Gta3b9+qvLw8O4DL5eLdd99t37dv30qADRs27MzJyclavnx5XqdOnWrLysqsGRkZgQBr1qwJ79mzZxXAoUOHbE6nEUMffvjh2FtuuaXR+45bbU9VRKzAC8BPgQPANyLyPpADvA5cqZTaISKPAncAC71U81+l1DizvouB90SkUim17qzcRMtRC9yvlNoqImHAFhH5WCmVBbwCPKCUSheRKcAfgZle6titlBoEICLdgXdFRJRSi87WTZwFXgP+BSw+4/yTwByl1P8TkZ+ZxyPPbtPOPr7eKaVUllLqCo987wCrfFRz8p06z/D5TimlJrkzicgzwAkfdexWSl18Nhp7oePL+m3UqFG9ioqKbEopSU5Orli8eHEd0SC73c7zzz+fN3HixB4iQkREhPO1117bC5CWlhY2e/bsOBHh0ksvLX3ttdf2NbZtrTaoApcAu5RSewBEZBlwPXAMqFFK7TDzfQz8Ge9B9SRKqe/MADwdWCcinYCXgG5mlvuUUl+ISCgwDxgKKIw/vu807639OJRSh4BD5udSEckG4oAsoDfwuZn1YwzfWm9B1bO+PSLyB+AZYJGItMN4Bv0BOzBbKbXK/KP8f8AYwAW8rJSa19z311wopT4XkURvSYC7Bx8BHKyvHrMn+zwQBFQCqUqp7Wbv/udACNADWKmUerBZGt8y+HqnTho4myMbo4FUfyv19S6Zn1NEZBOG2tCTSqmXf/RdtAANvFMAiIgAN2E8H7/w9S6ZyfEi8pl5nTeUUnOa4VYuGJ577rmDzz333Gnv7pdffrnDV35PJk+eXDx58uTiM8+npqYeT01NPf5j2tWag2oc4DlefwC4FEMGzCYiQ5VSm4GJQLyfdW7F6LmB8UfyOaXUBhHphhF8+mIEoBNKqQEAItLhR99JC2IGjUHAV+apHzD+UL4H3Ejjnk0f8/NfgU+VUlNEpD3wtTnUNxlIBC42zeYjm+MezgH3AR+KyNMYUyDDGsifA1xh3vNVwBPABDPtYoznXw1sF5F5SqlzMs/kB77eKU9+AaxTSpX4qOMKj+HPt5VSj+P7XQIYCPwEaAd8KyJrlVL1fok513h5p9xcARxRSu30UbSHx7P5Qin1G3y/S2B8yekPVGCMGqw1/6Zp2jCtOah6RSmlRORm4DkRCQQ+AvydSBaPz1cBycaXTwDCzV7qVcDNHtf7Ud9aWhKzve9g9AzcfwSnAP8UkZnA+0CNv9V5fL4a+LnHfFgQRi/kKuAlpVQtgFKq6EfewrniHuD3Sql3ROQmjFGOq+rJHwG8LiK9MHq5nior65RSJwBEJAtDa7W1BlV/uAVjCsEX3oZ/fb1LAKuUUpVApYisxwgkdeZrWws+3ik3twBL6ynubfjX17sE8LFSqtC87rvAcEAH1TZOaw6q+Zzey+pqnkMptQnjWyMicjXGkKc/DAKyzc8W4CdKqSrPDB5/GFo1ImLHePn/o5R6131eKZWD8SIjIr2Ba/2s0vPZCDBBKbX9jGv+2Ga3Fu4A3AtR3qb+IALwGLBeKTXe7MV85pFW7fHZSRt9pwBEJAoj6I1vZL31vUtn7hGss2ewteDrnTLTbMANwJDGVov3d+lS2tCz0fhPa179+w3QS0QuMlfR3YzR80JEOps/A4GHMOZz6kVEBmIM7b5gnvoI+K1Huvsb5sfAbzzOt7rhX3NuZyGQrZR69ow097OxAA/j37NJBJ7GmPsBY/jut+Z1EJFB5vmPgWnmHxja8PDvQWCE+Xk04Gs4z00Ep4LPnS3UprOBz3fKZCKw5szg6Ae+3iWA60UkSEQ6YiwG+6ZJLW9h6nunTK4CcpRSBxpZta93CeCnIhIpIsEYw+5feKtA07ZotUHVHGKcjvFLmQ28pZT6wUz+o7mQIANYrZT61Ec1V4i5pQYjmP7OY+Xv74ChIpJhDtvdbZ7/G9BBjO0624BRzX93P5rLgduB0XJq+f7PzLRbRGQHxjzgQcDXat4e5rPJBt4C/umx8vcxjCHODBH5wTwGo0e3zzy/Dbi12e+sGRGRpcAmIElEDojIr8yku4BnzHt4ApjqpbiNU73QJ4G/i8i3tO6eaL008E6BEWTrG970ha93CYx3dD3wJfBYK55Pre+dgqY/G1/vEsDXGD3jDOAdPZ96fiBK6REHjeZMxNinGNfKV/NqNGedbdu25aakpLQ239izyrZt26JSUlISvaW12p6qRnOuEJGFGL3wFxrKq9Fozg2PPfZY5169evXr2bNnv0cffbQzwJEjR6zDhg3rlZCQ0H/YsGG9jh07Zj3b7dJBVaM5A6XUr5RSlyql6mwc12g0555vvvkmaPHixZ22bt2anZ2d/UNaWlr7zMzMwFmzZsWOHDmyNC8vL3PkyJGljzzySB3t3wkTJiSuWbMmrKXa1mbnhzQajUZzYfL9998HDxo0qCwsLMwFcPnll5cuW7asfVpaWvv09PTtANOmTSscMWJEEh4r3M8GOqhqNBqNpkl8+O9/xBfsz2tW67eo+ISKa+65r9693hdffHHlo48+Gnf48GFru3bt1McffxyRkpJSXlhYaEtISHAAxMfHOwoLC896jNNBVaPRaDRtisGDB1fNmDHj8JVXXtk7ODjY1a9fvwqr9fTpU4vFcnJv/TvvvBP+17/+tSvAoUOHAr755pvQBx54wBUQEODKyMjIac626dW/mlaNiDiB7zG2JdRiiOM/p5Ry1VMmERimlHrzbLTRH0Rko1KqITlEX2XvBD5qzHYU8xmsUUr1b8o1NRpftMbVv9OnT4/r2rVrzUsvvRSdnp6+PSEhwZGXl2cfMWJEUm5u7mkuVRMmTEhMTU0tHDduXGlTr6dX/2raMpVKqYuVUv0w3FXGArMaKJNIK9tD29SAanIn0KWZmqLRnBfk5+fbAHbu3Bmwdu3a9r/+9a+LrrnmmuL58+d3BJg/f37HMWPG1BHNb2n08K+mzaCUOioiUzHEx2dj6OwuwRBrB5iulNoIzAX6muLmrwP/NM+NBAKBF5RS8z3rFpG5wH6l1Avm8WygDEORahXQAaO3/LDbZUREJgMPYMjLZSilbheRaLNMd7Pqe5RSG0WkTCkVKiIjgdkYxhD9gS3Abaam9SPAdUAwsBGYhiHcPxT4j4hUApcBycCzQKhZz51KqUMiMgR41bzuR016yBpNG+HnP/95j+LiYpvNZlP/+Mc/9kVFRTnnzJlzaPz48T0SEhKi4uLialauXLn7bLdLD/9qWjXuYHTGuWIgCSgFXEqpKlPsfqlSaqgZuB7w8NKdCnRWSv3NlLb8ArhRKbXXo85BwD+UUiPM4yzgGgw7sBClVImpjfsl0AsjsK3EGGYuEJFIpVSRiCwHNiml/iGGVV6oUurEGUF1FdAPQ/HqC+CPpsNLpNukQESWYCgerRbDHuwBpdRmU582HbheKXVMRCYB15guKBkYXyw+F5GngLF6+FfT3LTG4d+zTX3Dv7qnqmnL2IF/mVqzTnwbK1wNDBSRieZxBEZgPBlUlVLfikhnEekCdAKOK6X2m0HsCRH5XwwP2TggGkMz+G2lVIFZ3u3YMxrDIg+llBPvhtZfuzVkzd50IrABGCUiD2L4s0Zi2PitPqNsEkYP92NzEYYVOCSGrVh7pZTbS3cJxlC5RqM5i+igqmlTiEh3jAB6FGNu9QiQgrE+wJcQvAC/VUp92ED1b2OIyscAy81zv8QIskOUUg4RycWw7/ox1HG2EZEg4EVgqBnMZ/u4jgA/KKUuO+2kEVQ1Gs05Ri9U0rQZRKQTxnzlv5QxbxEBHDJXAt+O0WsDY1jYUzHlQ+Aes9eJiPQWkXbUZTmGcPpEjACLeY2jZkAdhTGPC/ApcKPpvuLp2LMOw68VEbGKSISft+cOoAVieHpO9EjzvJ/tQCcRucy8hl1E+imlioFiERlu5vuln9fVaBqLy+VynTc+kI3FvHefuw90UNW0doJNx5AfgE8wFuDMMdNeBO4w3Wb6AOXm+QzAKSLbROT3GO46WcBWEckE5uNllMZ0bAkD8pVSh8zT/8FwYPkeY1g3xyPv40C6eX23XdgMjGHc7zEWISX7c5NmUHwZyMT4EuBpkfYa8JI5VGzFCLj/Z173O8C9sjgVeMHMd8H+0dO0OJnHjh2LuBADq8vlkmPHjkVgvKde0QuVNBqNRuM3W7Zs6Wyz2V7BmNu/0DpmLiCztrb210OGDDnqLYMOqhqNRqPRNBMX2rcMjUaj0WhaDB1UNRqNRqNpJnRQ1Wg0Go2mmdBBVaPRaDSaZkIHVY1Go9FomgkdVDUajUajaSb+P6zkHtMcXcA9AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6063,7 +6955,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6087,7 +6979,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6111,7 +7003,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6135,7 +7027,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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AA5x99tkAHHnkkbz99tuF22/bti1hae7bb7+lffv27N69u8yOLVFt3ryZ9u3bU6dOHR5//PHCDjGJrg9g0KBBheefPXs2rVu3plmzZqWeY99996Vx48YsX76cd999t9JxxxJi69at2bp16149euNj79atG3l5eYVJcvfu3Xz44YeVPr+I1FylliTd/QvgC2BAadtlinPPPZef/vSn9OzZk5ycHA455BAAWrVqxVFHHUWPHj048cQTmThxIsuWLSus6mzSpAlPPPEEn3zyCddccw116tShXr16/PWvfwVg7NixDB06lP33359Zs2YVnq9hw4Y88sgjnHnmmeTn59O/f38uvvhiIChZDR8+nMmTJ/Poo8HgRW3atGHy5Mmcc845fPddMNn273//+8Lq2ni33HILRxxxBG3atOGII45ImMTK49JLL2XEiBE89thjDB06tLDk2qtXL7KysujduzejRo0qrIaG7zvo9OrVi8aNGxdeSyJDhw7lvvvu49BDD6Vbt24ceeSRlY67RYsWjBkzhh49etCuXTv69+9fuG7UqFFcfPHFNGrUiLlz5zJt2jSuuOIKNm/eTH5+PuPGjSM7O7vSMYhIzWQltfcU28jsSOAvwKFAfSAL2ObuiYsMVSgnJ8dzc3Or41QiUhUeGRb8HP1yauOo5cxsvrvnpDqOTBa1487dwNnAVCAH+DlQvHhTAjPLAnKBVe4+3Mw6A08CrYD5wPnuvqu0Y2zcuJHJkyfvtSw7O5v+/fsnrG7s06cPffr0Yfv27Tz99NPF1ufk5NCjRw82b95c2Ikk3oABA+jWrRsbNmzgpZdeKrb+xz/+MV26dGHt2rVMnz692PohQ4bQsWNHvvzyS2bOnFls/dChQ2nXrh2fffYZb7zxRrH1w4cPp3Xr1qxYsaLENrTTTjuN5s2bs2TJEkr6A+Kss86icePGLFy4kIULFxZbf+6551KvXj3mzZtXYpXjqFGjAHjnnXeKVfnWrVu38LGMOXPm8Pnnn++1vlGjRoWdjF5//XW++uqrvdY3a9assOPQ9OnTWbt27V7rW7VqVdjp5sUXX2Tjxo17rW/Xrh1Dhw4F4J///GdhR6GYDh06cNxxxwHw1FNPsWPHjr3Wd+7cubDa+4knnihsk43p2rUrAwcOBCj2ewf63Yv0uwcs/O8WFpZw//S7l7rfPSm/8gxw/gmQ5e573P0RYGjEXa8ElsV9vg2Y5O4/AL4BLowag4hIbfHcwlU8t3BVqsOo9aJWt74BHAc8CKwlGOB8lLv3LmO/DgSzhfwBuAr4KZAHtHP3fDMbAExw91I7Aam6VSTDqLq1Qv7+n//yfJgY//P51xzRuSVPXVTxLiGqbq28qCXJ8wnaIS8DtgEdgRGl7hH4M3AtUBB+bgVscvdYHcNXwAEl7WhmY80s18xy8/LyIoYpIpK5nl+4iqVrgircIzq35JQ+Jf73KNUoUptk2MsVYAfwuyj7mNlwYL27zzezweUNzN3vB+6HoCRZ3v1FRDJR9/bNKlV6lKpV1mACi4GECcrde5Wy+1HAyWZ2EtAQaEYwQk8LM6sbliY7AKp0F5FaKb56FWDpmi10b18tDw1IRGWVJIdX9MDu/hvgNwBhSfLX7n6umU0FziDo4ToSeL6i5xARyWSx6tVYYuzevpmqWNNMlMEEqtp44Ekz+z3wPvBQEs4hIpKW4kuPsQSp6tX0FalN0sy+5ftq1/pAPcoxmIC7zwZmh+8/Aw4vb6AiIpmoaJXqfz4Phr0+onNLlRwzQNSOO01j7y0YbfoUoPLjiYmI1HBFq1RjvVb/54gDUxyZRBF1xJ1C4Rxlz5nZTcB1VR+SiEhmU5VqzRG1uvX0uI91CIamKz4XkYiI7FV6VJVqZotakoyfvTYfWElQ5SoiUuslepRDpcfMF7VNcnSyAxERyVR6lKPmilrd2hm4HOgUv4+7n5ycsERE0pvaHWuHqNWtzxE8z/gi34/DKiJSa+hRjtopapLc6e53JTUSEZE0pkc5aqeoSfLO8JGPGcB3sYXuviApUYmIpCFVqdY+UZNkT4Lpso7l++pWDz+LiNRIJbU7Su0SNUmeCXRx913JDEZEJJXU7ihFRU2SS4AWwPokxiIiklJqd5SioibJFsByM5vH3m2SegRERDKWBgGQskRNkjclNQoRkRTQIABSlqgj7sxJdiAiIqmgkqOUplrmkxQRSRfqsSrlofkkRaRW0QwdUh6aT1JEajR1zpHK0HySUj1yH4HF01IdhVSXtYuhXc9URwGoc45UjuaTlOqxeFpa/ccpSdauJ/Q8o9pOV7S0GE8lR6kMzScp1addTxj9cqqjkBqoaGkxnkqOUhlRq1sfBa50903h532BP7n7BckMTkQkKpUWJRmiVrf2iiVIAHf/xswOS1JMIiJl0qMcUh3qRN0uLD0CYGYtqUDPWBGRqhKrYgVVqUryRE10fwLmmtnU8POZwB+SE5KISHF6lENSIWrHncfMLJfv54883d2XJi8sEZG9E2P8tFWg0qNUj1KTpJk1cfetAGFSLJYY47cREalK8b1WNW2VpEJZJcnnzWwh8Dww3923AZhZF+AY4CzgAUBPiYtIpalKVdJNqUnS3YeY2UnARcBRYYed3cAK4GVgpLuvTX6YIlJTqUpV0lmZbZLu/grwSnkPbGYNgTeABuF5prn7TWbWGXgSaAXMB853913lPb6I1AyqUpV0lszHOL4DjnX3rWZWD3jLzP4FXAVMcvcnzew+4ELgr0mMQ0TSiKpUJZNEfU6y3DwQ69BTL3w5QQ/ZWBvmo8CpyYpBRNJP/PONoCpVSW9JHRDAzLIIqlR/ANwDfApscvf8cJOvgBK/HWY2FhgLcOCBqnoRyWQljY6jkqNkglJLkmbWsrRXWQd39z3u3gfoABwOHBI1MHe/391z3D2nTZs2UXcTkTSk0XEkU5VVkpxPUEVqwIHAN+H7FsB/gc5RTuLum8xsFjAAaGFmdcPSZAeg5PltRCRjqd1RaoqyHgHpDGBmDwDPhj1dMbMTKaMt0czaALvDBNkIOB64DZgFnEHQw3UkwTOYIpLBiiZFPcohNUXUNskj3X1M7IO7/8vMbi9jn/bAo2G7ZB3gaXd/ycyWAk+a2e+B94GHKhK4iKSPovM56lEOqSmiJsnVZnY98ET4+VxgdWk7uPsioNh0Wu7+GUH7pIhkMHXGkdogapI8B7gJeJagjfKNcJmI1BKlVamqOlVqqqizgHwNXGlm+8TGbxWR2kVVqlIbRUqSZjYQeBBoAhxoZr2Bi9z90mQGJyLpRVWqUttErW6dBJwAvADg7h+Y2Y+TFpWIpIWS2h1FapPII+64+5dmFr9oT9WHIyKppHZHkb1FTZJfhlWuHg5WfiWwLHlhiUgqqN1RZG9Rk+TFwJ0E46yuAmYAao8UqQH0KIdIYlFnAenm7ue6+37u3tbdzwMOTWZgIlI9NK6qSGJRS5J/AfpGWCYiaU7jqopEV2qSNLMBwECgjZldFbeqGZCVzMBEJDmKtjuq9CiSWFklyfoEz0bWBZrGLd9CMEi5iGQAtTuKVExZs4DMAeaY2WR3/6KaYhKRKhZfelTJUSS6qG2S281sIpANNIwtdPdjkxKViFSK2h1FqkbUJDkFeAoYTvA4yEggL1lBiUj5xSdGzecoUjWiJslW7v6QmV0ZVwU7L5mBiUj5xFepahAAkaoRNUnuDn+uMbNhBHNJtkxOSCJSUapSFalaUZPk782sOXA1wfORzYBfJS0qESlTonZHEak6UeeTfCl8uxk4JnnhiEhp1O4oUr2izifZBhgDdIrfx90vSE5YIlIStTuKVK+o1a3PA28Cr6MpskSSpmgValF6lEOkekVNko3dfXxSIxGppUqrQi1KVaoi1StqknzJzE5y91eSGo1ILaQqVJH0FTVJXgn81sy+I3gcxAB3d3WlE6kCqkIVSU9Re7c2LXsrEYlCj26IZI6ypso6xN2Xm1mJ80a6+4LkhCVSc2mqKpHMUVZJ8ipgLPCnEtY5oAHORSpA1asimaGsqbLGhj81gIBIJZQ0n6OIpL86UTYys1+aWYu4z/ua2aXJC0ukZolVsYKqV0UySdTerWPc/Z7YB3f/xszGAPcmJyyRzKb5HEVqhqhJMsvMzN0dwMyygPql7WBmHYHHgP0I2i/vd/c7zawlwdyUnYCVwFnu/k3FwhdJHxpXVaTmiZokpwNPmdnfws8XhctKkw9c7e4LzKwpMN/MXgNGATPd/VYzuw64DtBoPpLxNCiASM0TNUmOJ+jlekn4+TXgwdJ2cPc1wJrw/bdmtgw4ADgFGBxu9igwGyVJqSFUpSpSs0RNko2AB9z9Piisbm0AbI+ys5l1Ag4D/gPsFyZQgLUE1bEl7TOWIDFz4IH6a1zSjwYFEKn5oibJmcBxwNbwcyNgBjCwrB3NrAnwDDDO3beYWeE6d3cz85L2c/f7gfsBcnJyStxGpLqp3VGkdomaJBu6eyxB4u5bzaxxWTuZWT2CBDnF3f8ZLl5nZu3dfY2ZtQfWlztqkRRRu6NI7RI1SW4zs76xYejMrB+wo7QdLCgyPgQsc/f/i1v1AjASuDX8+Xy5oxapJnqUQ6R2i5okxwFTzWw1wQwg7YCflbHPUcD5wGIzWxgu+y1BcnzazC4EvgDOKnfUIkmkKlURiYk6C8g8MzsE6BYuWuHuu8vY5y2ChFqSIdFDFKleqlIVkZioJUkIEmR3oCHQ18xw98eSE5ZI9VGVqogkEilJmtlNBM82dgdeAU4E3iIYUUck46hKVUSiiFqSPAPoDbzv7qPNbD/gieSFJZJcqlIVkSiiJskd7l5gZvlm1ozgsY2OSYxLJOlUpSoiZYmaJHPDqbIeAOYTDCowN2lRiVQxjY4jIhURtXdrbO7I+8xsOtDM3RclL6waIvcRWDwt1VGkh7WLoV3Pajtd0aSodkcRqYioHXdeAJ4Ennf3lUmNqCZZPK3ak0PaatcTep6R1FOU1hlH7Y4iUhFRq1v/RDB4wP8zs3kECfMld9+ZtMhqinY9YfTLqY6iVlBnHBGpalGrW+cAc8LZP44FxgAPA2rUkZTR840ikmx1om5oZo2AEcDFQH+CuSBFUiZWcoxRO6OIVLWobZJPA4cD04G7gTnuXpDMwERKEl96VMlRRJItapvkQ8A57r4nmcGIlCW+3VElRxFJtqhtkq8mOxCRkqjdUURSKXKbpEgqqN1RRFKpPLOAiFQLtTuKSLqIVJI0s5lRlolUhfjSo0qOIpJKpZYkzawh0BhobWb78v0kys0A/c8lVULtjiKSrsqqbr0IGAfsTzCweSxJbiF4FESk0uJ7rIJKjyKSPkpNku5+J3CnmV3u7n+pppikFlC7o4hkgqiPgPzFzAYCneL3cffHkhSX1HB63lFEMkHUEXceBw4GFgKxAQUcUJKUSNTuKCKZKOojIDlAd3f3ZAYjNUtpU1ep9CgimSBqklwCtAPWJDEWqWE0dZWIZLqoSbI1sNTM3gO+iy1095OTEpVkJFWpikhNEzVJTkhmEFIz6FEOEalpIk+6bGYHAT9099fNrDGQldzQJBPoUQ4Rqcmi9m4dA4wFWhL0cj0AuA8YkrzQJB0VrVKN75CjkqOI1DRRq1t/STDp8n8A3P1jM2ubtKgkbRWtUlWHHBGpyaImye/cfZdZMCqdmdUleE4yITN7GBgOrHf3HuGylsBTBIMSrATOcvdvKhS5VAt1xhGR2ixqkpxjZr8FGpnZ8cClwItl7DOZYHzX+AEHrgNmuvutZnZd+Hl8+UKWZNPzjSIigahJ8jrgQmAxwaDnrwAPlraDu79hZp2KLD4FGBy+fxSYjZJk2tHzjSIigahJshHwsLs/AGBmWeGy7eU8337uHhuQYC2wXzn3l2qiKlURkehJciZwHLA1/NwImAEMrOiJ3d3NLGG7ppmNJehRy4EHqhSTTInaHUVEars6Ebdr6O6xBEn4vnEFzrfOzNoDhD/XJ9rQ3e939xx3z2nTpk0FTiVRxapXY9TuKCISiFqS3GZmfd19AYCZ9QN2VOB8LwAjgVvDn89X4BhSBTQIgIhI2aImySuBqWa2GjCCwc5/VtoOZvYPgk46rc3sK+AmguT4tJldCHwBnFXBuKWSNJ+jiJikqjEAAA3hSURBVEjZykySZlYHqA8cAnQLF69w992l7efu5yRYpVF6UkDPO4qIlF+ZSdLdC8zsHnc/jGDKLMkQet5RRKRyIvduNbMRwD818XLm0POOIiKVEzVJXgRcBewxsx0E7ZLu7npOII2oSlVEpGpFnSqrabIDkYpRlaqISPJEnSrLgHOBzu5+i5l1BNq7+3tJjU6KKW2qKlWpiohUrajVrfcCBcCxwC0EI+/cA/RPUlwSp7TSohKjiEjyRE2SR7h7XzN7H8DdvzGz+kmMS+KoA46ISGpETZK7w0HNHcDM2hCULCUJ1AFHRCQ9RB279S7gWaCtmf0BeAv4Y9KiquU0lqqISHqI2rt1ipnNJxgtx4BT3X1ZUiOrZTSWqohI+ik1SZpZQ+Bi4AcEEy7/zd3zqyOw2kZjqYqIpJ+ySpKPAruBN4ETgUOBcckOqjZQu6OISPorK0l2d/eeAGb2EKDnIiuotOcbQe2OIiLpqKwkWTjTh7vnB2MKSEXEV6eCnm8UEckEZSXJ3mYW62ZpQKPws8ZujWDdtzvZsPU7bv7bXFWniohkoFKTpLtnVVcgNUHRKtVfbdhW+F7VqSIimSfqYAISQdEq1aYN69K6SQOVHkVEMpSSZBXbq0r1keapDUZERCpFSbKSShoEQEREagYlyXIq7VEOtTuKiNQsSpLlpEc5RERqDyXJCDSuqohI7aQkWQJVqYqICChJlkhVqiIiAkqShVSlKiIiRUWddLnGi5/oWFWqIiICKknuRaVHERGJV2uTZKL5HEVERGJqbXVrfPUqqIpVRESKS0lJ0syGAncCWcCD7n5rdZxXnXNERKQ8qr0kaWZZwD3AiUB34Bwz614d51bnHBERKY9UlCQPBz5x988AzOxJ4BRgaVWf6N17x9B007LCz7/etYfG9bPIrh/OzrE0GWeNs3YxtOuZxBOIiEgypaJN8gDgy7jPX4XL9mJmY80s18xy8/LyquTEjetn0bpJgyo5ViTtekLPM6rvfCIiUqXStneru98P3A+Qk5PjFTnGkZc+UKUxiYhI7ZKKkuQqoGPc5w7hMhERkbSSiiQ5D/ihmXU2s/rA2cALKYhDRESkVNVe3eru+WZ2GfAqwSMgD7v7h9Udh4iISFlS0ibp7q8Ar6Ti3CIiIlHV2hF3REREyqIkKSIikoCSpIiISAJKkiIiIgmYe4We069WZpYHfFHB3VsDG6ownJpE9yYx3ZuS6b4klo735iB3b5PqIDJZRiTJyjCzXHfPSXUc6Uj3JjHdm5LpviSme1MzqbpVREQkASVJERGRBGpDkrw/1QGkMd2bxHRvSqb7kpjuTQ1U49skRUREKqo2lCRFREQqRElSREQkgbROkmY21MxWmNknZnZd3PJjzWyBmS0xs0fNrNhA7WY22Mw2m9n74THeMLPh1XsFyWFmHc1slpktNbMPzezKuHW9zWyumS02sxfNrFkJ+3cysx3hvVlmZu+Z2ahqvYhqYGYPm9l6M1tSZHkfM3vXzBaaWa6ZHV7CvoPN7KXqi7Z6lPKdejO8HwvNbLWZPVfCvrHvVGy718s41wQz+3UyrqOqlfGdeirumlea2cIS9o99pxbGveqXcr5RZnZ3sq5HqpC7p+WLYBqtT4EuQH3gA6A7QWL/EugabnczcGEJ+w8GXor73AdYCQxJ9bVVwb1pD/QN3zcFPgK6h5/nAUeH7y8Abilh/07AkrjPXYCFwOhUX1sV36cfA33jrzVcPgM4MXx/EjC7rN+fmvBK9J0qYbtngJ9X9p4AE4Bfp/q6I8aa8DtVZLs/ATeWsHyv71SE840C7k71detV9iudS5KHA5+4+2fuvgt4EjgFaAXscvePwu1eA0aUdTB3X0iQUC8DMLM2ZvaMmc0LX0eFy5uY2SNhSWyRmZV57Orm7mvcfUH4/ltgGXBAuLor8Eb4Puq9+Qy4CrgCwMz2CUth74WlzVPC5VlmdkdYgl9kZpdX7ZVVLXd/A/i6pFVArITdHFhd2nHM7PCwdP6+mb1jZt3C5aPM7J9mNt3MPjaz26v0Aqpeou9UobDm4VigWEkykUTfpVCsZuNjMxtTFReRDGV8pwAwMwPOAv4R9biJvkuhjmY2O7w3N1XBZUgSpGQ+yYgOICgxxnwFHEEw7FNdM8tx91zgDKBjxGMuAK4J398JTHL3t8zsQIJJoA8FbgA2u3tPADPbt9JXkkRm1gk4DPhPuOhDgv/4ngPOpHz35pDw/f8C/3b3C8ysBfBeWLX2c4K/mPt4MHl2y6q4hhQYB7xqZncQ1EwMLGP75cCg8JqPA/7I93989CG4/98BK8zsL+7+ZYLjpFqi71S8U4GZ7r4lwTEGxVU3TnX3P5D4uwTQCzgS2Ad438xedvdS/yhJtRK+UzGDgHXu/nGCXQ+Ouzdvu/svSfxdguCPlh7AdmBeeG9yq/BSpAqkc5Iskbu7mZ0NTDKzBgRVZ3si7m5x748Dugd/HALQzMyahMvPjjvfN5WPOjnCeJ8BxsX9p3YBcJeZ3QC8AOyKeri49z8BTo5rT2oIHEhwb+5z93wAdy+plJYJLgF+5e7PmNlZwEME15ZIc+BRM/shQSm0Xty6me6+GcDMlgIHsXciyjTnAA+Wsv5Ndy/atp/ouwTwvLvvAHaY2SyCxBC5lFrdEnynYs6h9FLkp+7ep8iyRN8lgNfcfWN43n8CPwKUJNNMOifJVexdCuoQLsPd5xL8VYeZ/YSgijGKwwiqUSAoQRzp7jvjN4j7oqc1M6tH8GWe4u7/jC139+UEX0zMrCswLOIh4++NASPcfUWRc1Y27HQxEoh1zJhK6UkB4BZglrufFpYyZset+y7u/R4y9DsFYGatCZLYaeU8bmnfpaIPYqftg9mJvlPhurrA6UC/8h6Wkr9LR5BB96Y2S+c2yXnAD82sc9hL7GyCkhFm1jb82QAYD9xX1sHMrBdBVeo94aIZwOVx62N/Ab4G/DJuedpVt4ZtIw8By9z9/4qsi92bOsD1RLs3nYA7gL+Ei14FLg/Pg5kdFi5/Dbgo/A+DDK5uXQ0cHb4/FkhUfRbTnO+TyagkxVQdEn6nQmcQdMzZWeLeiSX6LgGcYmYNzawVQcefeRWKPMlK+06FjgOWu/tX5Tx0ou8SwPFm1tLMGhFUc79dgdAlydI2SYZVepcR/JItA5529w/D1deY2TJgEfCiu/87wWEGhY3lKwiS4xXuPjNcdwWQE3ZAWQpcHC7/PbBv2DnlA+CYqr+6SjsKOB841r7vbn5SuO4cM/uIoB1tNfBIgmMcHN6bZcDTwF3uHtv2FoIqxUVm9mH4GYIS13/D5R8A/1PlV1aFzOwfwFygm5l9ZWYXhqvGAH8Kr+GPwNgSdq/L96XE24H/Z2bvk94lxVKV8Z2CIGlG7pQSJ9F3CYLv6CzgXYKe1unaHlnadwoqfm8SfZcA3iMouS4CnlF7ZHrSsHQiJbDgObkD3P3aVMciIqmTsX8ViySLmT1E0OvwrFTHIiKppZKkiIhIAmnbJikiIpJqSpIiIiIJKEmKiIgkoCQpac3M9oTd8T80sw/M7OrwGdDS9ulkZmn1eIqZvVOJfUeZ2f7l3KeTFZn9RETKT0lS0t0Od+/j7tnA8cCJQFmDQXcizZ7hdPeyxoctzSigXElSRKqGkqRkDHdfT/Dg/2UW6GTBPIgLwlcsEd1KOBC3mf3KgtlLJlowQ8UiM7uo6LHN7FYzix9paYKZ/dqCWWFmhsdfbHGzOJjZz8PjfWBmj4fL9jOzZ8NlH8RiMrOt4c/BFsz8MM3MlpvZlLjRWG4MY1xiZveH13gGkANMCa+nkZn1M7M5ZjbfzF41s/bh/v1i5yVu1CgRqYRUz9Wll16lvYCtJSzbBOwHNAYahst+COSG7wez91yiY4Hrw/cNCAaR7lzkmIcBc+I+LyUY57Qu0Cxc1hr4hGA8zmyCOQdbh+tahj+fIhgcG4L5G5vHX0cY22aCcVPrEIwI9KP4Y4TvHwd+Gr6fDeSE7+sB7wBtws8/Ax4O3y8Cfhy+n0g55jfUSy+9Sn5pMAHJZPWAu8OxQveQeKD7nwC9wlIZBGOx/hD4PLaBu79vZm3Dtr82wDfu/qUFg17/0cx+DBQQTDe1H8GYr1PdfUO4f2xGlGMJphTD3fcQJMSi3vNwDFALplbqBLwFHGNm1xIk/5YE0569WGTfbgQDHbwWFkCzgDUWTMPUwoM5NCFIsicmuB8iEpGSpGQUM+tCkBDXE7RNrgN6E5TKEg3MbcDl7v5qGYefSjDIdzuCEiHAuQRJs5+77zazlQTTHVVGsZlDzKwhcC9BifFLM5uQ4DwGfOjuA/ZaGCRJEaliapOUjGFmbQhmNbnb3Z2gRLjG3QsIBqfOCjf9Fmgat+urwCVhqRAz62pm+5RwiqcIBrI+gyBhEp5jfZggjyGYLxLg38CZFsxuET8jykyC+SoJ20KbR7y8WELcYMGchmfErYu/nhVAGzMbEJ6jnpllu/smYJOZ/Sjc7tyI5xWRUihJSrprFHsEBHidYFqm34Xr7gVGhh1VDgG2hcsXAXvCTiy/Ipi9ZCmwIHws4m+UUIviwYwYTYFV7r4mXDyFYIaLxQTVqMvjtv0DMCc8f2x6pSsJqk0XA/OB7lEuMkxyDwBLCJJ6/JRSk4H7wqrZLIIEelt43oVArMPSaOCecLsaM/mnSCpp7FYREZEEVJIUERFJQElSREQkASVJERGRBJQkRUREElCSFBERSUBJUkREJAElSRERkQT+P6xG/jdgP4QWAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6159,7 +7051,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6183,7 +7075,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6207,7 +7099,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6231,7 +7123,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6255,7 +7147,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6279,7 +7171,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6316,7 +7208,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6340,7 +7232,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6364,7 +7256,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6388,7 +7280,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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uuKPp448/3jQnJ4fdd99926hRo77q2bPnJoDrr7++xZgxY5rk5ORw1113LT3ttNN+Kr59aX3KqW4p3wv8Edgevm4MrHH32PXC5cBeJW1oZkPMbIaZzVi9enWKwxQRSZG5ryS+talFV7WMs0DxLq7f//7333/22WfzFy5cOP+qq65aNWzYsNYA+fn5tV977bVGixYt+vTdd9/9bNiwYW2Kb1uWlPUpm9kA4Ft3zzezfuXd3t1HAaMgaCknOTwRkdQp6dYmFW8lxaJFi3YbMGDAAYsXL/4U4MYbb2xeUFCQe/fdd6/s1atXh549exZMmTKlwbp163IfeeSRJf379y8oKCiwQYMG7Tt//vw6++2336ZNmzYVjUj02muvNbj55ptbbdmyxfbZZ5/NL7744pKGDRtu32uvvbqeeOKJP0yePLnBsGHDVg0ZMuTH2DaNGjWKNTQpKCjIjQ1w9Morr+xx6qmn/lCnTh3v2LHjln322WfzpEmTdj/mmGPWR/18qSz0Ogw40cx+A9QGGgD3AXuYWY2wtbw3sCKFMYiIVL5Y67hF16rdGn7jD635dn5y56xt1mkDJz9Y4YkuCgsLbe7cuQvGjh3b8Oabb27Vv3//z+68885mderU2f7ll19++vHHH9c57LDDOgF8/fXXNW677baWH3744WcNGjTY/pe//KXFLbfc0vzOO+/8GqBx48aF8+fPL3GEsP/93/9t+tBDDzXfunVrzgcffLAIYMWKFbsdcsghRfMEt2rVasuyZct2AyIn5ZRdvnb36919b3dvCwwC/unuZwMTgdhv6PnAm6mKQUQkbWKt4wv+sUv3Gkv5nH766T8C9OnTZ/3y5ct3A5gyZUq9c88993sIhuhs3779BoBJkybt/sUXX9Tu1atXx44dO3Z68cUXGy9durRoDubzzjvvx5KOAXD99devXrZs2bwRI0YsHz58eNIG0S+zpWxmtYEBQF+gFbARmAf8w90rMkbhn4AXzexW4BOgfNMbiYhIZtiFFm1F1ahRw7dvL7p6zKZNm3ZoXNauXdvD97Ft27adB86P4+4cfvjhP40bN+6/Ja2vX7/+9pKWx7vooot+uPbaa9sA7LXXXrGWMQArV67crXXr1uWaIrLUpGxmNxEk5EnAx8C3BJei2wO3hwn7anefU9p+3H1SuA/c/UugV3mCFBFJu9KqqIvTEJkps/feexf+8MMPNVatWpXbsGHD7e+9917Do48+eqcK53iHH354wZgxYxqdeOKJ66ZPn177s88+qwvQr1+/9VdffXWbefPm1erSpcvmn376KWfJkiU1u3Xrtrm0/c2dO7dW165dNwOMHTu24T777LMZ4LTTTltz9tlnt7vxxhu/+eqrr2ouWbKkdr9+/SJfuoayW8rT3H14gnV3m1kzoE15DigikpXi+4nLUpX7kdOsVq1afvXVV3998MEHH9i8efOt+++//85TwhVzzTXXfDto0KB927Vr13n//fff1KlTp/UArVq1Knz00UeXDBo0qN2WLVsMYPjw4SvKSsp33313s3/9618NatSo4Q0bNiwcPXr0fwHy8vI2nXzyyT+0b9++c25uLnffffdXNWqUr3SrXPcpm1ldd6/QfV27Qvcpi0jaPXV88DOFVdTPf7yUN2f9XPvaqVUDhp9Q8QlTdJ9yZtrl+5TNrI+ZzQcWhq+7m9lDyQtRRETenLWC+V+XeiVWqrio7ep7gF8DbwG4+2wzOyJlUYmIVFOdWjZg7MWHpjsMSZPIF7vdfVnsBunQtuSHIyKSQTS/cUm2b9++3XJycjSoUwVs377d+HmUy51EvU95mZn1AdzMaprZNew4yYSISNUTP0Smirdi5q1evbphmFykHLZv326rV69uSHBbcYmitpQvIRiNay+CEbjeB/6wyxGKiGS6FA6RWbywa/7XP9GpZYOUHCtZCgsLf79q1arHV61a1YXKmWmwKtkOzCssLPx9ojdETcoWjsYlIiJJEivsiiXiTi0bcFKPEufoyRg9e/b8Fjgx3XFUVVGT8r/NbAkwFnjV3dekLiQRkTQpPkBIJfQjq7BL4kW69ODu7YEbgM7ATDN728zOSWlkIiKVrfg0i+pHlkpWnurracA0M7sNuBt4GnguVYGJiKRcopaxplmUNImUlM2sAXAKwWxP+wGvo/GrRSTbFR86s4It4+IFW1FlQ2GXVK6oLeXZwBvAze4+NYXxiIikVkn3Hu9iy7h4wVZU2VDYJZUralJu5+UZJFtEJFPFt46T2Gesgi1JhrKmbrzX3YcBb5nZTknZ3VUWLyLZR/3GkqHKaik/G/68M9WBiIgkTWlzHyfpNqf4fmT1DUuylHpLlLvnh097uPvk+AfQI/XhiYhUQPFbm+Il6ZJ1/IxO6huWZInap3w+wTCb8QaXsExEJDVKa/0WV0m3NqkfWZKtrD7ls4DfAvua2Vtxq+oDP6QyMBGRHRS/fak0GvRDslRZLeWPgK+BJsBdccvXAXNSFZSIVCNRW8Aa2EOqgVKTsrt/BXwF6PqMiKRG1BZwClq/FR30A1TcJakRdUSvQ4C/AwcCuwG5wHp312+kiJRPBg1tWdFBP0DFXZIaUQu9HiAYYvNlIA84D2ifqqBEpApL0tCWyaJiLckk5ZmQ4nMzy3X3bcBTZvYJcH3qQhORKiMFQ1uKVEVRk/IGM9sNmGVmdxAUf0Wa9lFEJFVDW4pUNVGT8rkE/ciXAVcCrYHTUhWUiGS5DOo3Lq2YS8VakmkiJeWwChtgI3BT6sIRkSohg/qNSyvmUrGWZJqyBg+ZCyScHcrduyU9IhGpGjKo31jFXJItymopD6iUKERERCTS4CEiIhlN/cZSVUQdPGQdP1/G3g2oiQYPEZGYRIVdlUT9xlJVRC30qh97bmYGnAQckqqgRCTLZEBhl/qNpSqIPHhIjLs78IaZDQeuS35IIpIVNCCISNJFvXx9atzLHIKhNjelJCIRyQ4aEEQk6aK2lE+Ie14ILCG4hC0i1UUlDAhS0VmbVMwlVUXUPuULUh2IiGS4Sug3ruisTSrmkqoi6uXrfYHLgbbx27j7iaVsUxv4EKgVbvOKuw8P9/Ui0BjIB8519y0V/QAikkJp6DdWwZZUZ1EvX78BPAGMA7ZH3GYzcJS7F5hZTWCKmf0fcBVwj7u/aGaPAL8DHi5n3CJSGdRvLFKpoiblTe5+f3l2HFZpF4Qva4YPB44CfhsufxoYgZKySGbIoIkkRKqjqEn5vvAWqPcJWsAAuPvM0jYys1yCS9T7Aw8CXwBr3L0wfMtyoMSOIDMbAgwBaNOmTcQwRWSXpKjfOGoBlwq2pLqLmpS7EkzfeBQ/X76OtXoTcvdtQA8z2wN4HegYNTB3HwWMAsjLy0s4KYaIJFkKWsZRC7hUsCXVXdSkfDrQrqIFWe6+xswmAocCe5hZjbC1vDdQ/vsfRCR5SirmSgEVcImULSfi++YBe5Rnx2bWNGwhY2Z1gGOBBcBEIHY97HzgzfLsV0SSLHbJGlTMJZJmUVvKewALzWw6O/YpJ7wlCmgJPB32K+cAL7n722Y2H3jRzG4FPiGo6haRyqJiLpGMFTUpDy/vjt19DnBQCcu/BHqVd38ikiSVMAhI8cIuFXCJRBN1RK/JqQ5ERFKokgcBKV7YpQIukWg0n7JIdZCGQUBU2CVSfppPWaQqUr+xSFbSfMoiVVEa+o3jqQ9ZpGI0n7JItireGo6Xhn7jeOpDFqkYzacskq2Kt4bjqd9YJCtpPmWRbKZ+YpEqJdKIXmb2dGx0rvD1nmb2ZOrCEhERqX6iXr7u5u5rYi/c/Ucz22lgEBHJPlFncCpOxVwiyRc1KeeY2Z7u/iOAmTUqx7YiUlFRirl2UdQZnIpTMZdI8kVNrHcBU83s5fD16cDfUhOSiBSppGIuFWyJZIaohV7PmNkMfp4/+VR3n5+6sESqkTTf2iQimaPUpGxm9dy9ACBMwjsl4vj3iEgFZMCtTSKSGcpqKb9pZrMI5jzOd/f1AGbWDjgSOAN4DEjwZ76IRFKJrWHN4CSSuUq9JcrdjwYmABcDn5rZT2b2PfAc0AI4392VkEWySKywK0YFWyKZo8w+ZXd/B3inEmIRqR4STRZRiVTYJZKZIg0eIiJJFOtDjlG/sYiEdK+xSGWIbx2noaI6vh9ZfcgimUstZZHKEN86TkPLOL4fWX3IIpmrrFuiGpW23t1/SG44IlVYmu83Vj+ySOYr6/J1PuCAAW2AH8PnewBLgX1TGp1INqmEITFFpGor65aofd29HTAeOMHdm7h7Y2AA8H5lBCiSNYoXcMVTMZeIRBC10OsQd78o9sLd/8/M7khRTCLZIdGtTSm8RK0ZnUSqtqiFXivN7AYzaxs+/gKsTGVgIhkvDbc2FR/4IyoVd4lkh6gt5bOA4cDrBH3MH4bLRKqXNN/aBCrYEqnKos4S9QMw1Mx2j41/LVItxU8eoX5iEUmySEnZzPoAjwP1gDZm1h242N0vTWVwImmXhn5jEam+ol6+vgf4NfAWgLvPNrMjUhaVSKYoPq1iilvHZRVyqWBLpGqLPMymuy8zs/hF25IfjkgGqsSWcayQK1HiVcGWSNUWNSkvCy9hu5nVBIYCC1IXlkj1pUIukeoralK+BLgP2AtYQTBwiPqTpWrQSFwikiGi3qfcwd3Pdvfm7t7M3c8BDkxlYCKVRiNxiUiGiNpS/jvwiwjLRLJTJfYbl1bMpUIukeqtrFmiDgX6AE3N7Kq4VQ2A3FQGJpJSJQ0CUklKK+ZSIZdI9VZWS3k3gnuTawD145b/BOianmSvNA8ComIuESlJqUnZ3ScDk81stLt/VUkxiVQODQIiIhkmap/yBjMbCXQGascWuvtRKYlKJMup31hEKiJqUh4DjCWYR/kS4HxgdWkbmFlr4BmgOcEkFqPc/T4zaxTuqy2wBDjD3X+sSPAikSUaLjNF1G8sIhURNSk3dvcnzGxo3CXt6WVsUwhc7e4zzaw+kG9mHwCDgQnufruZXQdcB/ypoh9AJJJKHi4T1G8sIuUXNSlvDX9+bWbHE8yl3Ki0Ddz9a+Dr8Pk6M1tAMPjISUC/8G1PA5NQUpZk00QSIpKFoiblW82sIXA1wf3JDYArox7EzNoCBwEfA83DhA2wiuDydknbDAGGALRp0ybqoUQCaWgZi4jsqqjzKb8dPl0LHFmeA5hZPeBVYJi7/xQ/qYW7u5l5gmOOAkYB5OXllfgekVKloGVc1ixOMSrmEpGKiDqfclPgIoLirKJt3P3CMrarSZCQx7j7a+Hib8yspbt/bWYtgW8rErhIOpQ1i1OMirlEpCKiXr5+E/gXMJ6IUzZa0CR+Aljg7nfHrXqLoHr79vDnm5GjFYmXpokkVMAlIqkSNSnXdffyFmMdBpwLzDWzWeGyPxMk45fM7HfAV8AZ5dyvSKB4v3E89SGLSBaKmpTfNrPfuPs7UXfs7lMAS7D66Kj7ESmVKqpFpAqJmpSHAn82s80Et0cZQZ2WKlkktdI813Hxwi4VcIlIKkWaT9nd67t7jrvXcfcG4Wv9zySpl+a5jmOFXTEq4BKRVCpr6saO7r7QzEqcN9ndZ6YmLJE4ab5ErcIuEaksZV2+vopgAI+7SljngCakEBERSZKypm4cEv4s14AhIplOg4CISCaK1KdsZn8wsz3iXu9pZpemLiyR1CreV5yI+pBFpDJFrb6+yN0fjL1w9x/N7CLgodSEJdVafMW1BgERkWokUksZyLW4QavNLBfYLTUhSbUXX3GtQUBEpBqJ2lJ+FxhrZo+Gry8Ol4nsOk2zKCICRE/KfyKowv6f8PUHwOMpiUiqnyRNsxi1eAtUwCUimSlqUq4DPObuj0DR5etawIZUBSZVXEn9xrvYMo46gxOogEtEMlPUpDwBOAYoCF/XAd4H+qQiKKkG4lvHSew3VvGWiGSzqEm5trvHEjLuXmBmdVMUk1QX6jcWEdlB1KS83sx+ERtW08x6AhtTF5ZUOYmKuUREpEjUpDwMeNnMVhLMENUCODNlUUnVU8FiLhVviUh1Eikpu/t0M+sIdAgXLXL3rakLS6qkClyuVvGWiFQnUVvKECTkTkBt4Bdmhrs/k5qwRH6m4i0RqS4iJWUzGw70I0jK7wDHAVMAJWVJrDbaY2QAABKfSURBVJKGyxQRqSqitpQHAt2BT9z9AjNrDjyXurCkSoh421Np/cbqJxaR6iRqUt7o7tvNrNDMGgDfAq1TGJdkowoOl1lav7H6iUWkOomalGeEUzc+BuQTDCIyNWVRSXbaheEy1W8sIhK9+jo2d/IjZvYu0MDd56QuLMkaKRguU0Skuoo0daOZvWVmvzWz3d19iRKyFNE0iyIiSRP18vVdBIOF/K+ZTQdeBN52900pi0wyU5KmWYwv7lIxl4hIIFJL2d0nh5ew2wGPAmcQFHtJdRPfMoYKt45jxV2gYi4RkZjIg4eYWR3gBIIW8y+Ap1MVlGS4JPUbq7hLRGRHUQcPeQnoBbwLPABMdvftqQxMRESkuonaUn4COMvdt6UyGBERkeos6i1R76U6EMlQZUy5WJ5ZnOKpuEtEZGeRCr2kGiujsCu+YKs8VNwlIrKz8swSJdVFOQcEUcGWiEhyRB08ZEKUZVJFaEAQEZG0KLWlbGa1gbpAEzPbE7BwVQNA1x6rMg2XKSJS6cq6fH0xMAxoRTARRSwp/0Rwa5RUM8ULu1SwJSKSPKUmZXe/D7jPzC53979XUkxSGYpXVccrVmEdr/g0iyrYEhFJnqi3RP3dzPoAbeO3cfdnUhSXpFrxaRbjldGPrMIuEZHUiDqi17PAfsAsIDaAiANKytlM/cYiIhkl6i1ReUAnd/eoOzazJ4EBwLfu3iVc1ggYS9DiXgKc4e4/lidgSb3SBgRRH7KISOpEHTxkHtCinPseDfQvtuw6YIK7HwBMCF9LhiltQBD1IYuIpE7UlnITYL6ZTQM2xxa6+4mJNnD3D82sbbHFJwH9wudPA5OAP0WMQXZFGcNlFqd+YxGRyhc1KY9I0vGau/vX4fNVQPNEbzSzIcAQgDZt2iTp8NVY8cIuDQoiIpJxolZfTzazfYAD3H28mdUFcnflwO7uZpawj9rdRwGjAPLy8iL3ZUuccg6XKSIi6RW1+voiglZrI4Iq7L2AR4Cjy3m8b8yspbt/bWYtgW/Lub2UR3zruFjLWMVcIiKZJ+rl6z8AvYCPAdx9sZk1q8Dx3gLOB24Pf75ZgX1IIon6jUtoHRcfBCSeirlERNIjalLe7O5bzIJRNs2sBsF9ygmZ2QsERV1NzGw5MJwgGb9kZr8DvgLOqGDcUpJy9hurmEtEJLNETcqTzezPQB0zOxa4FBhX2gbuflaCVeW95C2lUb+xiEiVEfU+5euA1cBcgkkq3gFuSFVQUg6aZlFEpMqI2lKuAzzp7o8BmFluuGxDqgKTcojQOtbsTiIimS9qS3kCQRKOqQOMT344kirFR+lSMZeISOaJ2lKu7e4FsRfuXhDeqyxZRIVdIiKZLWpSXm9mv3D3mQBm1hPYmLqwJKFyDpcpIiLZI2pSHgq8bGYrASOYnOLMlEUliZVy25MGBBERyW5lJmUzywF2AzoCHcLFi9x9ayoDkzgRb3vSgCAiItmtzKTs7tvN7EF3P4hgCkepbKUMl1mc+o1FRLJX1MvXE8zsNOA1d9fkEKlQvK84ngYFERGpFqLeEnUx8DKwxcx+MrN1ZvZTWRtJOcQPAlKcBgUREakWok7dWD/VgQgJW8PPf7yUN/NXQP7UUjdXMZeISHaL1FK2wDlm9tfwdWsz65Xa0CSm+MAfiaiYS0Qku0XtU34I2A4cBdwCFAAPAgenKK6qp7Q+YyjzfmMVcImIVH1R+5R7u/sfgE0A7v4jwW1SElVpfcagfmMREYncUt4aTkLhAGbWlKDlLKXRtIoiIlIOUZPy/cDrQDMz+xswEE3dWLZS7i8ubfSt4lTAJSJSPUStvh5jZvnA0QTDbJ7s7gtSGllVUYHRt4pTAZeISPVQalI2s9rAJcD+wFzgUXcvrIzAskaUQT8SUPGWiIjEK6vQ62kgjyAhHwfcmfKIso0G/RARkSQp6/J1J3fvCmBmTwDTUh9SFlIBl4iIJEFZSbloJih3LzSzFIdTdRUv7FLxloiIFFdWUu4eN8a1AXXC1wa4u1e/rFK8D7mMfuOY4oVdKt4SEZHiSk3K7p5bWYFkjfjbnKBc/cYq7BIRkdJEvU+5etMgICIiUgmUlKMoZRCQeKUNCKI+ZBERKYuSclQRWselDQiiPmQRESmLknKSqd9YREQqSkm5JBWssBYREdkVUadurF6Kj9KlkblERKQSqKUcii/SuvH7tUAbbt4SNxFWPpA/tdR9qJhLRER2hZJyqOCjx7hm7Xjq7pZL261fsqRmu3LvQ8VcIiKyK5SUQ4dtnEhb+4rdWx4EHETnrgMZm6eCLRERqTzVNykXK+aKtY47a1AQERFJk+pb6FWsmGtJzXb8u86RaQxIRESqu+rVUo5rHW9ZMZvFOW2Lirnmb/mJTo0bMCSd8YmISLVWvVrKca3jxTlteWXLz33GKtISEZF0S0tL2cz6A/cBucDj7n57pR08HC7z5keD25s0+paIiGSKSm8pm1ku8CBwHNAJOMvMOlV2HCIiIpkmHS3lXsDn7v4lgJm9CJwEzE/2gf7z0EXUX7Og6HWswvrmR6dqoA8REck46ehT3gtYFvd6ebhsB2Y2xMxmmNmM1atXJ+XA8RXW6kMWEZFMk7HV1+4+ChgFkJeX5xXZxyGXPrbTss6gCmsREclI6WgprwBax73eO1wmIiJSraUjKU8HDjCzfc1sN2AQ8FYa4hAREckolX752t0Lzewy4D2CW6KedPdPKzsOERGRTJOWPmV3fwd4Jx3HFhERyVTVa0QvERGRDKakLCIikiGUlEVERDKEkrKIiEiGMPcKjctRqcxsNfBVBTdvAnyXxHCqEp2bxHRuSqbzklgmnpt93L1puoOQ6LIiKe8KM5vh7nnpjiMT6dwkpnNTMp2XxHRuJBl0+VpERCRDKCmLiIhkiOqQlEelO4AMpnOTmM5NyXReEtO5kV1W5fuURUREskV1aCmLiIhkBSVlERGRDJHRSdnM+pvZIjP73Myui1t+lJnNNLN5Zva0me00sYaZ9TOztWb2SbiPD81sQOV+gtQws9ZmNtHM5pvZp2Y2NG5ddzObamZzzWycmTUoYfu2ZrYxPDcLzGyamQ2u1A9RCczsSTP71szmFVvew8z+Y2azzGyGmfUqYdt+ZvZ25UVbOUr5Tv0rPB+zzGylmb1Rwrax71TsfePLONYIM7smFZ8j2cr4To2N+8xLzGxWCdvHvlOz4h67lXK8wWb2QKo+j2Qxd8/IB8G0jl8A7YDdgNlAJ4I/JJYB7cP33Qz8roTt+wFvx73uASwBjk73Z0vCuWkJ/CJ8Xh/4DOgUvp4O/DJ8fiFwSwnbtwXmxb1uB8wCLkj3Z0vyeToC+EX8Zw2Xvw8cFz7/DTCprN+fqvBI9J0q4X2vAuft6jkBRgDXpPtzR4w14Xeq2PvuAm4sYfkO36kIxxsMPJDuz61H5j0yuaXcC/jc3b909y3Ai8BJQGNgi7t/Fr7vA+C0snbm7rMIEvhlAGbW1MxeNbPp4eOwcHk9M3sqbGnOMbMy913Z3P1rd58ZPl8HLAD2Cle3Bz4Mn0c9N18CVwFXAJjZ7mErc1rYmj4pXJ5rZneGVyjmmNnlyf1kyeXuHwI/lLQKiF1BaAisLG0/ZtYrvPrwiZl9ZGYdwuWDzew1M3vXzBab2R1J/QDJl+g7VSS8snIUsFNLOZFE36VQ7MrNYjO7KBkfIhXK+E4BYGYGnAG8EHW/ib5LodZmNik8N8OT8DGkCkjLfMoR7UXQIo5ZDvQmGMauhpnlufsMYCDQOuI+ZwLXhs/vA+5x9ylm1gZ4DzgQ+Cuw1t27ApjZnrv8SVLIzNoCBwEfh4s+JfiP9g3gdMp3bjqGz/8C/NPdLzSzPYBp4aXK8whaBD3cvdDMGiXjM6TBMOA9M7uT4MpLnzLevxDoG37mY4Db+PmPnR4E538zsMjM/u7uyxLsJ90SfafinQxMcPefEuyjb9zl25fd/W8k/i4BdAMOAXYHPjGzf7h7qX8EpVsJ36mYvsA37r44wab7xZ2bf7v7H0j8XYLgj6QuwAZgenhuZiTxo0gWyuSkXCJ3dzMbBNxjZrUILkVui7i5xT0/BugU/PELQAMzqxcuHxR3vB93PerUCON9FRgW95/ohcD9ZvZX4C1gS9TdxT3/FXBiXH9gbaANwbl5xN0LAdy9pFZoNvgf4Ep3f9XMzgCeIPhsiTQEnjazAwha2TXj1k1w97UAZjYf2IcdE1+2OQt4vJT1/3L34rUZib5LAG+6+0Zgo5lNJEhEkVvhlS3BdyrmLEpvJX/h7j2KLUv0XQL4wN2/D4/7GnA4oKRczWVyUl7Bjq28vcNluPtUgr9aMbNfEVyyjeIggstSELSQDnH3TfFviPuPJaOZWU2C/zzGuPtrseXuvpDgPwLMrD1wfMRdxp8bA05z90XFjrmrYWeK84FYIc/LlJ6EAG4BJrr7KWEralLcus1xz7eRpd8pADNrQpA0Tynnfkv7LhUfCCFjB0ZI9J0K19UATgV6lne3lPxd6k0WnRupPJncpzwdOMDM9g2rGAcRtPwws2bhz1rAn4BHytqZmXUjuDT9YLjofeDyuPWxv3A/AP4QtzzjLl+HfVtPAAvc/e5i62LnJge4gWjnpi1wJ/D3cNF7wOXhcTCzg8LlHwAXh/9BkcWXr1cCvwyfHwUkuhwZ05Cfk9fgFMVUGRJ+p0IDCQq5NpW4dWKJvksAJ5lZbTNrTFAoNr1CkadYad+p0DHAQndfXs5dJ/ouARxrZo3MrA5Bt8G/KxC6VDEZm5TDS6SXEfxSLwBecvdPw9XXmtkCYA4wzt3/mWA3fcPiikUEyfgKd58QrrsCyAsLluYDl4TLbwX2DIuZZgNHJv/T7bLDgHOBo+zn2y9+E647y8w+I+gHXQk8lWAf+4XnZgHwEnC/u8feewvBJdo5ZvZp+BqCFuXScPls4LdJ/2RJZGYvAFOBDma23Mx+F666CLgr/Ay3AUNK2LwGP7eC7wD+18w+IbNbwqUq4zsFQZKOXMQUJ9F3CYLv6ETgPwR3AmRqf3Jp3ymo+LlJ9F0CmEbQMp8DvKr+ZAENsylSIgvuU93L3f+Y7lhEpPrI2r/6RVLFzJ4gqIo9I92xiEj1opayiIhIhsjYPmUREZHqRklZREQkQygpi4iIZAglZcloZrYtvD3lUzObbWZXh/dgl7ZNWzPLqNu1zOyjXdh2sJm1Kuc2ba3Y7FgikvmUlCXTbXT3Hu7eGTgWOA4oa/D+tmTYPdTuXtb42qUZDJQrKYtIdlJSlqzh7t8SDPRxmQXaWjAP8MzwEUt8txNOnGBmV1owu9VIC2YwmmNmFxfft5ndbmbxI7mNMLNrLJg1bEK4/7kWN8uPmZ0X7m+2mT0bLmtuZq+Hy2bHYjKzgvBnPwtmBnrFzBaa2Zi40Z5uDGOcZ2ajws84EMgDxoSfp46Z9TSzyWaWb2bvmVnLcPueseMSNyqdiGSRdM8dqYcepT2AghKWrQGaA3WB2uGyA4AZ4fN+7DiX9hDghvB5LYJB//ctts+DgMlxr+cTjBNdA2gQLmsCfE4wnnFngjl3m4TrGoU/xxJMZgDB/MUN4z9HGNtagnGncwhGHDs8fh/h82eBE8Lnk4C88HlN4COgafj6TODJ8Pkc4Ijw+UjKMb+vHnrokRkPDR4i2awm8EA41vI2Ek9M8iugW9jqhGAs6wOA/8be4O6fmFmzsO+2KfCjuy+zYJKC28zsCGA7wfSHzQnGzH7Z3b8Lt4/NmHUUwRSXuPs2ggRc3DQPx1C2YKq/tsAU4Egz+yPBHxuNCKbhHFds2w4EA5t8EDawc4GvLZgWcA8P5pCGIKkfl+B8iEiGUlKWrGJm7QgS8LcEfcvfAN0JWp2JJlIw4HJ3f6+M3b9MMClDC4IWL8DZBEm6p7tvNbMlBNPv7YqdZpYys9rAQwQt4mVmNiLBcQz41N0P3WFhkJRFJMupT1myhpk1JZj16gF3d4IW79fuvp1gMoHc8K3rgPpxm74H/E/Y6sXM2pvZ7iUcYizBxAMDCRI04TG+DRPykQTzJQP8EzjdgtmP4mfMmkAwXzNhX3bDiB8vloC/s2BO34Fx6+I/zyKgqZkdGh6jppl1dvc1wBozOzx839kRjysiGURJWTJdndgtUcB4gmkCbwrXPQScHxY2dQTWh8vnANvCoqcrCWa3mg/MDG8TepQSrhJ5MGNSfWCFu38dLh5DMAPSXILL0gvj3vs3YHJ4/Nh0f0MJLkPPBfKBTlE+ZJhUHwPmEfwRET/F4WjgkfBSdy5Bwv5/4XFnAbECtwuAB8P3VZnJr0WqE419LSIikiHUUhYREckQSsoiIiIZQklZREQkQygpi4iIZAglZRERkQyhpCwiIpIhlJRFREQyxP8H5Z+luRvQbk0AAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6412,7 +7304,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6436,7 +7328,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6460,7 +7352,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6484,7 +7376,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6508,7 +7400,7 @@
     },
     {
      "data": {
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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6532,7 +7424,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6569,7 +7461,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6593,7 +7485,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6617,7 +7509,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6641,7 +7533,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6665,7 +7557,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -6689,7 +7581,236 @@
     },
     {
      "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 **60-64** population up to 05 Mar 2021"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **60-64** 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 **60-64** 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 **60-64** 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 **60-64** 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 **60-64** 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 **60-64** 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 **60-64** population by **dementia**"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Xdu3axYIFCzj11FPp1q0bZ555JmvXro383kSkAnL3fD/A2cBEggEEtgKbgI+A3wNNCzq/JD7dunXz4jjssMPc3X3fvn2+ZcsWd3fPyMjwY445xrOysvybb77xtLS0nOPfeecdHzp0qGdlZfn+/fu9f//+PmfOHJ8yZYr/8pe/zDlu8+bN7u5+9NFHe0ZGxiH33bVrlzdv3txXrFjh7u5XXHGFjxkzxvft2+ctWrTw7du3u7v7tdde688995xnZGR4r169craPGjXK//CHP+Tc4/7778+59saNG3OWf//73/vYsWPd3f2ee+7x0aNHu7v7lVde6ZMnTz4kXaeeeqrfcsst7u7+1ltveZ8+fdzdfceOHb5r1y53d//iiy88+73PmjXL+/fvn3N+7PoNN9zgI0eOdHf3mTNneufOnXPS0aNHD9+9e7dnZGR4/fr1fe/eve7uvmnTJnd337lzp6elpeU8S/Z7nDhxoj/wwAM+YsQIv//++33ixImHPAPgkyZNylnPvqa7++WXX+6vv/56zrPOmzfP3d337t3rPXr08A0bNri7+4svvuhDhgw55Npl1lNnBx+REDDfS+H/0eX5U2DDHXd/G3i7qEHYzCoD84HV7j7AzFoDLwINgAXAFe6+t6jXLwx353e/+x3vvfcelSpVYvXq1axfv/6Q46ZPn8706dM5/vigl8v27dtZuXIlvXr14tZbb2XEiBEMGDCAXr165Xu/FStW0Lp1a9q2bQvAlVdeyaOPPsrw4cPp168fb7zxBhdddBFvvfUWDzzwAHPmzGHp0qWcfPLJAOzdu5cePXrkXO/nP/95zvKSJUu488472bx5M9u3b+fMMws3lO6FFwYjDXbr1o1Vq1YBsG/fPm644QYWLVpE5cqV+eKLLwq8zgcffMDLL78MwOmnn86mTZvYunUrAP3796d69epUr16dxo0bs379epo3b87YsWOZOnUqAN999x0rV66kQYMGOdccNGgQZsbIkSO5/fbb86yTrFy5MgMHDsxZnzVrFg888AA7d+7khx9+IC0tjXPOOeegc1asWMGSJUvo27cvEBTTNmvWLOorE5EKqDS6cdwMLAOyp9W6Hxjj7i+a2ePA1cDfSiEdTJw4kYyMDBYsWEDVqlVp1aoVu3cfOgStu/Pb3/6Wa6655pB9Cxcu5O233+bOO++kT58+3H333UVKy6WXXsojjzxC/fr1SU9P5/DDD8fd6du3Ly+88EKe5xx2WE6JN4MHD+bVV1+lc+fOPPPMM8yePbtQ969evToQBJvMzEwAxowZQ5MmTfj000/JysqiRo0aRXq23PeIvc/s2bOZMWMGc+fOpVatWvTu3fuQ/wbBRDMHGu5kr8eqUaMGlStXBmD37t1cf/31zJ8/nxYtWjBy5Mi4/13T0tKYO3dusZ5LRCqOQs8CUhhm1hzoDzwZrhtwOpDd5HICcH4i0xBry5YtNG7cmKpVqzJr1iy+/fZbAA4//HC2bduWc9yZZ57JU089lVMfuHr1ajZs2MCaNWuoVasWl19+ObfddhsLFy7M8/xs7dq1Y9WqVXz55ZcAPPfcc5x66qkAnHrqqSxcuJAnnniCSy+9FICTTjqJDz/8MOf4HTt2xM3Nbdu2jWbNmrFv374CG7ZEtWXLFpo1a0alSpV47rnnchrExHs+gF69euXcf/bs2TRs2JA6deJPM7plyxaOOOIIatWqxfLly/n444+Lne7sgNiwYUO2b99+UIve2LS3a9eOjIyMnCC5b98+Pv/882LfX0TKr0TnJB8Cbgey56NsAGx298xw/XvgqLxONLNhwDCAli1blkhiLrvsMs455xw6duxIeno6xx13XJCoBg04+eST6dChA2eddRajR49m2bJlOUWdtWvX5vnnn+fLL7/ktttuo1KlSlStWpW//S3IAA8bNox+/fpx5JFHMmvWrJz71ahRg6effpqLL76YzMxMunfvzrXXXgsEOasBAwbwzDPPMGHCBAAaNWrEM888w6BBg9izZw8Af/zjH3OKa2Pdd999nHjiiTRq1IgTTzwxbhArjOuvv56BAwfy7LPP0q9fv5yca6dOnahcuTKdO3dm8ODBOcXQcKCBTqdOnahVq1bOs8TTr18/Hn/8cX7605/Srl07Tjqp+NOS1qtXj6FDh9KhQweaNm1K9+7dc/YNHjyYa6+9lpo1azJ37lymTJnCTTfdxJYtW8jMzGT48OGkpaUVOw0iUj5ZXvU9OTuDkXXicvcf8jl3AHC2u19vZr2B3wCDgY/d/SfhMS2Af7p7h/zu07p1a89uYZotLS2N7t27x81JdenShS5durBz505eeumlQ/anp6fToUMHtmzZklM/FqtHjx60a9eOjRs38uabbx6y/5RTTqFNmzasW7eOadOmHbK/T58+tGjRgu+++46ZM2cesr9fv340bdqUr7/+mvfee++Q/QMGDKBhw4asWLEiz+LBCy64gLp167JkyRLmz59/yP5LLrmEWrVqsWjRIhYtWnTI/ssuu4yqVasyb968PHNTgwcPBuCjjz46JDdbpUqVnBanc+bM4Ztvvjlof82aNXPqT2fMmMH3339/0P46derk1IlOmzaNdevWHbS/QYMGOfWJb7zxBps2bTpof9OmTenXL2hU/corr+TUgWZr3rw5Z5xxBgCTJk1i165dB+1v3bp1To7++eefzyluzta2bVt69uwJBF1IckvZf3vvjwGgz8g39W8P/dt76aWXGDJkyAJ3Tz/kQImsoJzkAsABA1oCP4bL9YD/Aq3zOfdk4FwzOxuoQVAn+TBQz8yqhLnJ5sDqYj2BiEg59Oqi4H+N53fJs7BNSkm+Ocmcg8yeAKaGLV0xs7OA89390JYteZ/fG/hN2Lp1MvByTMOdxe6eb0/+9PR0z+svVhGJ8XT/4HvIW8lNhxTZP/79X14Lg+O/v/mBE1vXZ9I1PQo4Kz4zU06ymKI23DkpO0ACuPs/gZ5FvOcI4BYz+5KgjnJ8Ea8jIlKuvLZoNUvXBkW4J7auz3nKRSZd1IY7a8zsTuD5cP0yIPJYX+4+G5gdLn8NnBA9iSIi5VNszhFg6dqttG9Wp1i5RylZUYPkIOAeYCpBHeV74TYRESmE3EWqEOQaAdo3q6PcY4qJFCTDVqw3m9lh7r4jwWkSESk3cucWYwNjdpHqL04smW5uUvIiBUkz60kwIEBtoKWZdQaucffrE5k4EZGyLruesX2zYJANBcayJWpx6xjgTOB1AHf/1MxOSViqRETKsNjco+oZy7bII+64+3e5xtAs3UkNRURSVH5FqqpnLNuiBsnvwiJXN7OqHBi0XESkQsqvAY6KVMuPqEHyWoLRco4iGCFnOqD6SBGpMNQAp2KKGiTbuftlsRvM7GTgw5JPkohI6lEDnIopapD8K9A1wjYRkTIrd24xlhrgVEz5Bkkz60Ew/FwjM7slZlcdoHIiEyYiUtpy5xZjqQFOxVRQTrIaQd/IKhyYExJgK3BRohIlIlIaNCycFCTfIOnuc4A5ZvaMu39bSmkSEUkYDQsnhRG1TnKnmY0G0gjmhgTA3U9PSKpEStr8p+GzKclORWKt+wyadkx2KlJCfnWLapUqhRE1SE4EJgEDCLqDXAlkJCpRIiXusynlP4g07QgdVQsC+dctKjBKYUQNkg3cfbyZ3RxTBDsvkQkTKXFNO2pC4nJKdYuSKFGD5L7we62Z9SeYS7J+YpIkInKoqEWooLpFKTlRg+QfzawucCtB/8g6wK8TlioREfJvZBNLRaiSKFHnk3wzXNwCnJa45IiIHBBbt6hAKMkQdT7JRsBQoFXsOe5+VWKSJSIVkeoWJdVELW59DXgfmEHEKbLMrAbwHlA9vM8Ud7/HzFoDLwINgAXAFe6+t7AJF5HyQf0WJZVFDZK13H1EIa+9Bzjd3beH02t9YGb/BG4Bxrj7i2b2OHA18LdCXltEygkVqUoqixok3zSzs9397agXdncHtoerVcOPA6cDvwi3TwBGoiApUmGoSFXKkqhB8mbgd2a2h6A7iBHEwUN76sYws8oERao/AR4FvgI2u3tmeMj3BHNU5nXuMGAYQMuW+qtSpCxTkaqUVVFbtx5e8FF5nrcf6GJm9YCpwHGFOHccMA4gPT3di3J/EUkOTVAs5UVBU2Ud5+7LzSzPeSPdfWGUm7j7ZjObBfQA6plZlTA32RzIu3ewiJRZmqBYyouCcpK3EBR5/iWPfdn1i3kKu43sCwNkTaAvcD8wi2CarRcJxoB9rQjpFpEUonpGKa8KmiprWPhdlAEEmgETwnrJSsBL7v6mmS0FXjSzPwL/AcYX4doikmSqZ5SKIOpgAr8CJrr75nD9CGCQuz8W7xx3Xwwcn8f2r4ETipZcEUkW1TNKRRS1detQd380e8XdfzSzoUDcICki5YvqGaUiihokK5uZhX0fs7t2VEtcskQkGfKbaUP1jFIRVYp43DRgkpn1MbM+wAvhNhEpR7Jzi3lRPaNURFFzkiMIWrleF66/CzyZkBSJSKmKzT0qtyhysKhBsibwhLs/DjnFrdWBnYlKmIiUjti6RuUWRQ4WNUjOBM7gwFisNYHpQM9EJEpEEkd9GkWiixoka7h7doAknNmjVoLSJCIlTH0aRYomapDcYWZds4ehM7NuwK7EJUtEikN9GkVKRtQgORyYbGZrCGYAaQr8PGGpEpFiUZ9GkZIRdRaQeWZ2HNAu3LTC3fclLlkiUlhqpSpS8qLmJCEIkO2BGkBXM8Pdn01MskSkIPkVqaqeUaRkRB279R6gN0GQfBs4C/gAUJAUSRIVqYokXtSc5EVAZ+A/7j7EzJoAzycuWSKSFxWpipSuqEFyl7tnmVmmmdUBNgAtEpguEUFFqiLJFjVIzjezesATwAKCQQXmJixVIgKoSFUk2aK2br0+XHzczKYBdcL5IkWkmDTzhkjqijQLiJm9bma/MLPD3H2VAqRIydHMGyKpK2px618IBg/4f2Y2D3gReNPddycsZSLllMZOFSk7IuUk3X1OWOTaBvg7cAlB4x0RKaTcOUflFkVSV+TBBMysJnAOQY6yKzChgONbEPSjbAI4MM7dHzaz+sAkoBWwCrjE3X8sSuJFUpXqGUXKh6h1ki8By4DTgUeAY9z9xgJOywRudff2wEnAr8ysPXAHMNPdjyWYguuOoiZeJFWpnlGkfIiakxwPDHL3/VEv7O5rgbXh8jYzWwYcBZxHMHoPBLnR2cCIqNcVSVXq6C9S/kTtAvJOcW5iZq2A44F/A03CAAqwjqA4VqTMUUd/kfKvMAOcF4mZ1QZeBoa7+1Yzy9nn7m5mHue8YcAwgJYt1XFaUkN+kxero79I+ZPQIGlmVQkC5ER3fyXcvN7Mmrn7WjNrRpxWsu4+DhgHkJ6enmcgFSltsSPgKCiKlH9RZwGZ6e59CtqWa78R1GUuc/f/i9n1OnAlMCr8fq3QqRYpJerTKFKx5RskzawGUAtoaGZHANllpXUIGuHk52TgCuAzM1sUbvsdQXB8ycyuBr4l6HMpkjLyK1JVXaNIxVJQTvIaYDhwJMHA5tlBcitBV5C43P2DmONzi5sDFSlt+TXAUZGqSMWWb5B094eBh83sRnf/aymlSSTh1ABHRKKI2gXkr2bWk2CUnCox259NULpEiiV37vDuTVsAuPfvwQxvyi2KSBRRG+48BxwDLAKyBxRwgmHnRFJO7nkYc1NgFJEoonYBSQfau7u6YkjKynfEm6frAjBpiFqlikh0kcZuBZYATROZEJHiih0vVa1QRaQkRM1JNgSWmtknwJ7sje5+bkJSJRKB+jCKSKJFDZIjE5kIkajUh1FESlPU1q1zzOxo4Fh3n2FmtYDKiU2aiPowikhyRW3dOpRgsPH6BK1cjwIeR4MCSAKoD6OIpIqoxa2/Ak4gmOoKd19pZo0TliqpUJRbFJFUFTVI7nH3vdnTXJlZFYJ+kiJFotyiiJQFUYPkHDP7HVDTzPoC1wNvJC5ZUt4otygiZVHUIHkHcDXwGcGg528DTyYqUVL+5B4BR4FRRMqCqEGyJvCUuz8BYGaVw207E5UwKfvyHQFHRKQMiBokZwJnANvD9ZrAdKBnIhIlZVN+RarqwygiZVHUIFnD3bMDJO6+PewrKRWcGuCISFE3CAYAAA59SURBVHkWNUjuMLOu7r4QwMy6AbsSlyxJVWqAIyIVSdQgeTMw2czWAEYw2PnPE5YqSRn5BcXsbwVGESmvCgySZlYJqAYcB7QLN69w932JTJgkj4pQRUQCBQZJd88ys0fd/XiCKbOknFERqohI3iK3bjWzgcArUSdeNrOngAHABnfvEG6rD0wCWgGrgEvc/cfCJlpKlvowiojkLWqQvAa4BdhvZrsI6iXd3evkc84zwCPAszHb7gBmuvsoM7sjXB9R6FRLsakPo4hIwaJOlXV4YS/s7u+ZWatcm88DeofLE4DZKEiWCvVhFBEpvKhTZRlwGdDa3e8zsxZAM3f/pJD3a+Lua8PldUCTfO45jGB6Llq2VLFfcalIVUSk8KIWtz4GZAGnA/cRjLzzKNC9qDd2dzezuPWb7j4OGAeQnp6uGUeKQEWqIiLFEzVInujuXc3sPwDu/qOZVSvC/dabWTN3X2tmzYANRbiGxKEiVRGRkhU1SO4LBzV3ADNrRJCzLKzXgSuBUeH3a0W4hsRQn0YRkcSJGiTHAlOBxmb2J+Ai4M78TjCzFwga6TQ0s++BewiC40tmdjXwLXBJEdNdYalPo4hI6YnaunWimS0A+hB0/zjf3ZcVcM6gOLv6FC6JEksNcERESk++QdLMagDXAj8hmHD57+6eWRoJkwPUAEdEJDkKyklOAPYB7wNnAT8Fhic6URWdGuCIiKSGgoJke3fvCGBm44HC9ouUIlCRqohIaigoSObM9OHumcGYApIIKlIVEUk9BQXJzma2NVw2oGa4HmXsVimE2NyjilRFRFJDvkHS3SuXVkIqmtz1jso9ioiknkrJTkBFlZ1zzKbco4hI6ok6mIAUk3KOIiJlj4JkAuU3ZJxyjiIiqU9BsgRpyDgRkfJFQbKYNMC4iEj5pSBZTLFdNxQURUTKFwXJQlIDHBGRikNBMgI1wBERqZgUJPOgBjgiIgIKkjnUAEdERHKrsEFSuUURESlIhQ2Smo5KREQKUqGCpKajEhGRwkhKkDSzfsDDQGXgSXcflYj7/OGNz1m65sAg4rFFqmqVKiIiBSn1IGlmlYFHgb7A98A8M3vd3Zcm+t4qUhURkcJIRk7yBOBLd/8awMxeBM4DSjxI3lPlOaj22cEblybiTpLy1n0GTTsmOxUiUsYkYz7Jo4DvYta/D7cdxMyGmdl8M5ufkZFRaomTcqppR+h4UbJTISJlTMo23HH3ccA4gPT0dC/SRc5KSFWniIhUEMnISa4GWsSsNw+3iYiIpJRkBMl5wLFm1trMqgGXAq8nIR0iIiL5KvXiVnfPNLMbgHcIuoA85e6fl3Y6RERECpKUOkl3fxt4Oxn3FhERiSoZxa0iIiJlgoKkiIhIHAqSIiIicShIioiIxGHuReunX5rMLAP4toinNwQ2lmByyhO9m/j0bvKm9xJfKr6bo929UbITUZaViSBZHGY2393Tk52OVKR3E5/eTd70XuLTuymfVNwqIiISh4KkiIhIHBUhSI5LdgJSmN5NfHo3edN7iU/vphwq93WSIiIiRVURcpIiIiJFoiApIiISR0oHSTPrZ2YrzOxLM7sjZvvpZrbQzJaY2QQzO2SgdjPrbWZbzOw/4TXeM7MBpfsEiWFmLcxslpktNbPPzezmmH2dzWyumX1mZm+YWZ08zm9lZrvCd7PMzD4xs8Gl+hClwMyeMrMNZrYk1/YuZvaxmS0ys/lmdkIe5/Y2szdLL7WlI5/f1Pvh+1hkZmvM7NU8zs3+TWUfN6OAe400s98k4jlKWgG/qUkxz7zKzBblcX72b2pRzKdaPvcbbGaPJOp5pAS5e0p+CKbR+gpoA1QDPgXaEwT274C24XH3AlfncX5v4M2Y9S7AKqBPsp+tBN5NM6BruHw48AXQPlyfB5waLl8F3JfH+a2AJTHrbYBFwJBkP1sJv6dTgK6xzxpunw6cFS6fDcwu6N9PefjE+03lcdzLwP8W950AI4HfJPu5I6Y17m8q13F/Ae7OY/tBv6kI9xsMPJLs59an4E8q5yRPAL5096/dfS/wInAe0ADY6+5fhMe9Cwws6GLuvoggoN4AYGaNzOxlM5sXfk4Ot9c2s6fDnNhiMyvw2qXN3de6+8JweRuwDDgq3N0WeC9cjvpuvgZuAW4CMLPDwlzYJ2Fu87xwe2UzezDMwS82sxtL9slKlru/B/yQ1y4gO4ddF1iT33XM7IQwd/4fM/vIzNqF2web2StmNs3MVprZAyX6ACUv3m8qR1jycDpwSE4ynni/pVB2ycZKMxtaEg+RCAX8pgAwMwMuAV6Iet14v6VQCzObHb6be0rgMSQBkjKfZERHEeQYs30PnEgw7FMVM0t39/nARUCLiNdcCNwWLj8MjHH3D8ysJcEk0D8F7gK2uHtHADM7othPkkBm1go4Hvh3uOlzgv/xvQpcTOHezXHh8u+Bf7n7VWZWD/gkLFr7X4K/mLt4MHl2/ZJ4hiQYDrxjZg8SlEz0LOD45UCv8JnPAP7MgT8+uhC8/z3ACjP7q7t/F+c6yRbvNxXrfGCmu2+Nc41eMcWNk939T8T/LQF0Ak4CDgP+Y2ZvuXu+f5QkWx6/qWy9gPXuvjLOqcfEvJsP3f1XxP8tQfBHSwdgJzAvfDfzS/BRpASkcpDMk7u7mV0KjDGz6gRFZ/sjnm4xy2cA7YM/DgGoY2a1w+2Xxtzvx+KnOjHC9L4MDI/5n9pVwFgzuwt4Hdgb9XIxyz8Dzo2pT6oBtCR4N4+7eyaAu+eVSysLrgN+7e4vm9klwHiCZ4unLjDBzI4lyIVWjdk30923AJjZUuBoDg5EZc0g4Ml89r/v7rnr9uP9lgBec/ddwC4zm0UQGCLnUktbnN9UtkHkn4v8yt275NoW77cE8K67bwrv+wrwP4CCZIpJ5SC5moNzQc3Dbbj7XIK/6jCznxEUMUZxPEExCgQ5iJPcfXfsATE/9JRmZlUJfswT3f2V7O3uvpzgh4mZtQX6R7xk7LsxYKC7r8h1z+ImO1VcCWQ3zJhM/kEB4D5glrtfEOYyZsfs2xOzvJ8y+psCMLOGBEHsgkJeN7/fUu6O2CnbMTvebyrcVwW4EOhW2MuS92/pRMrQu6nIUrlOch5wrJm1DluJXUqQM8LMGoff1YERwOMFXczMOhEUpT4abpoO3BizP/svwHeBX8VsT7ni1rBuZDywzN3/L9e+7HdTCbiTaO+mFfAg8Ndw0zvAjeF9MLPjw+3vAteE/8OgDBe3rgFODZdPB+IVn2Wry4FgMjhBaSoNcX9ToYsIGubszvPs+OL9lgDOM7MaZtaAoOHPvCKlPMHy+02FzgCWu/v3hbx0vN8SQF8zq29mNQmKuT8sQtIlwVI2SIZFejcQ/CNbBrzk7p+Hu28zs2XAYuANd/9XnMv0CivLVxAEx5vcfWa47yYgPWyAshS4Ntz+R+CIsHHKp8BpJf90xXYycAVwuh1obn52uG+QmX1BUI+2Bng6zjWOCd/NMuAlYKy7Zx97H0GR4mIz+zxchyDH9d9w+6fAL0r8yUqQmb0AzAXamdn3ZnZ1uGso8JfwGf4MDMvj9CocyCU+APw/M/sPqZ1TzFcBvykIgmbkRikx4v2WIPiNzgI+Jmhpnar1kfn9pqDo7ybebwngE4Kc62LgZdVHpiYNSyeSBwv6yR3l7rcnOy0ikjxl9q9ikUQxs/EErQ4vSXZaRCS5lJMUERGJI2XrJEVERJJNQVJERCQOBUkREZE4FCQlpZnZ/rA5/udm9qmZ3Rr2Ac3vnFZmllLdU8zso2KcO9jMjizkOa0s1+wnIlJ4CpKS6na5exd3TwP6AmcBBQ0G3YoU68Pp7gWND5ufwUChgqSIlAwFSSkz3H0DQcf/GyzQyoJ5EBeGn+xANIpwIG4z+7UFs5eMtmCGisVmdk3ua5vZKDOLHWlppJn9xoJZYWaG1//MYmZxMLP/Da/3qZk9F25rYmZTw22fZqfJzLaH370tmPlhipktN7OJMaOx3B2mcYmZjQuf8SIgHZgYPk9NM+tmZnPMbIGZvWNmzcLzu2Xfl5hRo0SkGJI9V5c++uT3AbbnsW0z0ASoBdQItx0LzA+Xe3PwXKLDgDvD5eoEg0i3znXN44E5MetLCcY5rQLUCbc1BL4kGI8zjWDOwYbhvvrh9ySCwbEhmL+xbuxzhGnbQjBuaiWCEYH+J/Ya4fJzwDnh8mwgPVyuCnwENArXfw48FS4vBk4Jl0dTiPkN9dFHn7w/GkxAyrKqwCPhWKH7iT/Q/c+ATmGuDIKxWI8Fvsk+wN3/Y2aNw7q/RsCP7v6dBYNe/9nMTgGyCKabakIw5utkd98Ynp89I8rpBFOK4e77CQJibp94OAaoBVMrtQI+AE4zs9sJgn99gmnP3sh1bjuCgQ7eDTOglYG1FkzDVM+DOTQhCLJnxXkfIhKRgqSUKWbWhiAgbiCom1wPdCbIlcUbmNuAG939nQIuP5lgkO+mBDlCgMsIgmY3d99nZqsIpjsqjkNmDjGzGsBjBDnG78xsZJz7GPC5u/c4aGMQJEWkhKlOUsoMM2tEMKvJI+7uBDnCte6eRTA4deXw0G3A4TGnvgNcF+YKMbO2ZnZYHreYRDCQ9UUEAZPwHhvCAHkawXyRAP8CLrZgdovYGVFmEsxXSVgXWjfi42UHxI0WzGl4Ucy+2OdZATQysx7hPaqaWZq7bwY2m9n/hMddFvG+IpIPBUlJdTWzu4AAMwimZfpDuO8x4MqwocpxwI5w+2Jgf9iI5dcEs5csBRaG3SL+Th6lKB7MiHE4sNrd14abJxLMcPEZQTHq8phj/wTMCe+fPb3SzQTFpp8BC4D2UR4yDHJPAEsIgnrslFLPAI+HRbOVCQLo/eF9FwHZDZaGAI+Gx5WbyT9Fkkljt4qIiMShnKSIiEgcCpIiIiJxKEiKiIjEoSApIiISh4KkiIhIHAqSIiIicShIioiIxPH/AZVOvlEls7+GAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "### COVID vaccinations among **60-64** 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 **60-64** 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>"
       ]
@@ -6701,7 +7822,7 @@
     }
    ],
    "source": [
-    "plot_dem_charts(summ_stat_results, df_dict_cum,  formatted_latest_date, pop_subgroups=[\"80+\", \"70-79\", \"65-69\",\"shielding (aged 16-69)\"], 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\"], 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)"
    ]
@@ -6721,7 +7842,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **80+** population with ethnicity recorded 5,684 (85.0%)"
+       "Total **80+** population with ethnicity recorded 1,813 (85.8%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6733,7 +7854,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **70-79** population with ethnicity recorded 6,195 (84.7%)"
+       "Total **70-79** population with ethnicity recorded 2,961 (84.3%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6745,7 +7866,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **care home** population with ethnicity recorded 973 (84.2%)"
+       "Total **care home** population with ethnicity recorded 1,218 (86.1%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6757,7 +7878,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **shielding (aged 16-69)** population with ethnicity recorded 364 (85.2%)"
+       "Total **shielding (aged 16-69)** population with ethnicity recorded 357 (85.0%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6769,7 +7890,7 @@
     {
      "data": {
       "text/markdown": [
-       "Total **65-69** population with ethnicity recorded 2,611 (85.4%)"
+       "Total **65-69** population with ethnicity recorded 1,806 (84.0%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
@@ -6793,7 +7914,19 @@
     {
      "data": {
       "text/markdown": [
-       "Total **under 65s, not in other eligible groups shown** population with ethnicity recorded 26,285 (85.1%)"
+       "Total **60-64** population with ethnicity recorded 2,226 (86.4%)"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "Total **vaccinated under 60s, not in other eligible groups shown** population with ethnicity recorded 31,458 (85.0%)"
       ],
       "text/plain": [
        "<IPython.core.display.Markdown object>"
diff --git a/project.yaml b/project.yaml
index e08cd5f..84ce18e 100644
--- a/project.yaml
+++ b/project.yaml
@@ -1,8 +1,8 @@
 version: '3.0'
 
 expectations:
-  population_size: 100000
-
+  population_size: 10000
+   
 actions:
 
   generate_delivery_cohort:
@@ -11,7 +11,6 @@ actions:
       highly_sensitive:
         cohort: output/input_delivery.csv
 
-
   generate_notebook:
     run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
 
@@ -23,7 +22,6 @@ actions:
         tables: interim-outputs/tables/*
         csvs: machine_readable_outputs/*/* # two possible subfolders
         text: interim-outputs/text/*
-
         
   generate_report:
     run: jupyter:latest jupyter nbconvert /workspace/notebooks/opensafely_vaccine_report_overall.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
@@ -33,4 +31,3 @@ actions:
       moderately_sensitive:
         notebook: output/opensafely_vaccine_report_overall.html 
         csvs: machine_readable_outputs/table_csvs/*
-      
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 3806cf7..61dc380 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	
@@ -1,98 +1,106 @@
-covid_vacc_date,total,other,70-79,80+,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
-02 Dec,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
-08 Dec,2205.0,1372.0,35.0,539.0,56.0,203.0,0.0,0.0
-09 Dec,6678.0,3941.0,98.0,2009.0,168.0,455.0,7.0,0.0
-10 Dec,11606.0,6426.0,168.0,3941.0,280.0,763.0,21.0,7.0
-11 Dec,16548.0,9058.0,238.0,5761.0,399.0,1057.0,28.0,7.0
-12 Dec,21028.0,11774.0,294.0,7056.0,497.0,1365.0,35.0,7.0
-13 Dec,24549.0,13832.0,329.0,8225.0,574.0,1540.0,35.0,14.0
-14 Dec,29617.0,16534.0,406.0,10157.0,679.0,1785.0,42.0,14.0
-15 Dec,56175.0,20909.0,609.0,31430.0,896.0,2233.0,84.0,14.0
-16 Dec,97944.0,26467.0,882.0,66598.0,1120.0,2653.0,203.0,21.0
-17 Dec,137732.0,33145.0,1505.0,98140.0,1407.0,3185.0,322.0,28.0
-18 Dec,166026.0,39543.0,2072.0,118454.0,1729.0,3731.0,455.0,42.0
-19 Dec,197988.0,45003.0,2744.0,143479.0,2037.0,4151.0,525.0,49.0
-20 Dec,228809.0,52416.0,3304.0,165403.0,2387.0,4641.0,595.0,63.0
-21 Dec,253134.0,61810.0,3969.0,178472.0,2800.0,5341.0,672.0,70.0
-22 Dec,287616.0,70203.0,4585.0,202741.0,3199.0,6041.0,770.0,77.0
-23 Dec,318164.0,81039.0,5306.0,220059.0,3703.0,6881.0,1085.0,91.0
-24 Dec,328797.0,86401.0,5635.0,223909.0,3948.0,7280.0,1526.0,98.0
-25 Dec,328853.0,86443.0,5642.0,223909.0,3955.0,7280.0,1526.0,98.0
-26 Dec,329140.0,86702.0,5642.0,223916.0,3962.0,7294.0,1526.0,98.0
-27 Dec,331198.0,88417.0,5670.0,224098.0,4018.0,7371.0,1526.0,98.0
-28 Dec,334901.0,91266.0,5761.0,224574.0,4130.0,7546.0,1526.0,98.0
-29 Dec,352338.0,98721.0,6216.0,232617.0,4459.0,8022.0,2198.0,105.0
-30 Dec,397551.0,115857.0,8351.0,252679.0,5271.0,9401.0,5803.0,189.0
-31 Dec,435540.0,132524.0,10584.0,267078.0,6090.0,10689.0,8309.0,266.0
-01 Jan,444045.0,136913.0,11151.0,269710.0,6272.0,10990.0,8715.0,294.0
-02 Jan,453327.0,142331.0,11907.0,272097.0,6454.0,11312.0,8911.0,315.0
-03 Jan,459991.0,146881.0,12054.0,273623.0,6587.0,11529.0,9002.0,315.0
-04 Jan,470624.0,155015.0,12264.0,275037.0,6867.0,12005.0,9114.0,322.0
-05 Jan,491323.0,170212.0,12719.0,278187.0,7392.0,12908.0,9548.0,357.0
-06 Jan,525308.0,190904.0,15386.0,285852.0,8225.0,14070.0,10458.0,413.0
-07 Jan,606305.0,221193.0,25032.0,320579.0,9597.0,15953.0,13461.0,490.0
-08 Jan,701239.0,253680.0,37828.0,362264.0,11151.0,18172.0,17521.0,623.0
-09 Jan,784525.0,282520.0,48461.0,399812.0,12579.0,20251.0,20209.0,693.0
-10 Jan,826532.0,300678.0,53025.0,416710.0,13293.0,21231.0,20881.0,714.0
-11 Jan,870240.0,327061.0,56630.0,425159.0,14147.0,22974.0,23478.0,791.0
-12 Jan,943082.0,359835.0,64036.0,450310.0,15351.0,25025.0,27573.0,952.0
-13 Jan,1042188.0,396074.0,80367.0,489244.0,16891.0,27202.0,31248.0,1162.0
-14 Jan,1149078.0,435778.0,99134.0,528878.0,18725.0,29778.0,35406.0,1379.0
-15 Jan,1277906.0,480480.0,121506.0,578725.0,20853.0,33383.0,41251.0,1708.0
-16 Jan,1403017.0,519372.0,139853.0,638057.0,22694.0,36260.0,44884.0,1897.0
-17 Jan,1467543.0,546644.0,147518.0,663292.0,23856.0,37982.0,46270.0,1981.0
-18 Jan,1527904.0,578207.0,155764.0,677537.0,25123.0,39963.0,49119.0,2191.0
-19 Jan,1648619.0,614138.0,190708.0,719530.0,26950.0,43092.0,51730.0,2471.0
-20 Jan,1788493.0,653905.0,236873.0,764253.0,29197.0,47397.0,54103.0,2765.0
-21 Jan,1933792.0,694813.0,289877.0,803397.0,31857.0,53179.0,57540.0,3129.0
-22 Jan,2133761.0,741062.0,373772.0,854532.0,35630.0,61411.0,63623.0,3731.0
-23 Jan,2333058.0,778785.0,479668.0,896350.0,38885.0,70035.0,65226.0,4109.0
-24 Jan,2411759.0,801591.0,516719.0,908341.0,40789.0,74207.0,65884.0,4228.0
-25 Jan,2488570.0,828590.0,548149.0,920465.0,42630.0,78001.0,66360.0,4375.0
-26 Jan,2587438.0,859684.0,592424.0,935039.0,44926.0,83755.0,66962.0,4648.0
-27 Jan,2683884.0,888972.0,637532.0,947009.0,47642.0,90307.0,67459.0,4963.0
-28 Jan,2823436.0,919268.0,715148.0,962255.0,51380.0,102095.0,67984.0,5306.0
-29 Jan,3010868.0,952371.0,834582.0,978068.0,55937.0,115647.0,68614.0,5649.0
-30 Jan,3200022.0,979286.0,964054.0,989289.0,59605.0,133098.0,68859.0,5831.0
-31 Jan,3312568.0,999558.0,1037981.0,993664.0,63371.0,143122.0,68957.0,5915.0
-01 Feb,3415503.0,1018479.0,1099420.0,999425.0,69076.0,153748.0,69251.0,6104.0
-02 Feb,3534181.0,1039416.0,1170715.0,1005438.0,75033.0,167678.0,69545.0,6356.0
-03 Feb,3685136.0,1062446.0,1262513.0,1011542.0,83125.0,188769.0,70007.0,6734.0
-04 Feb,3848593.0,1087828.0,1357811.0,1017695.0,93408.0,214130.0,70504.0,7217.0
-05 Feb,4006331.0,1112769.0,1446165.0,1023498.0,104762.0,240387.0,71085.0,7665.0
-06 Feb,4207280.0,1135701.0,1561133.0,1027446.0,121156.0,282359.0,71344.0,8141.0
-07 Feb,4308745.0,1149456.0,1618631.0,1029294.0,130494.0,301133.0,71449.0,8288.0
-08 Feb,4405198.0,1163274.0,1667141.0,1032647.0,142373.0,319424.0,71715.0,8624.0
-09 Feb,4537897.0,1181369.0,1726354.0,1036518.0,169785.0,342643.0,72128.0,9100.0
-10 Feb,4680123.0,1203867.0,1771469.0,1041236.0,214172.0,366821.0,72758.0,9800.0
-11 Feb,4848389.0,1233491.0,1813945.0,1045562.0,277949.0,393414.0,73423.0,10605.0
-12 Feb,5024439.0,1271704.0,1849526.0,1049720.0,351274.0,416626.0,74088.0,11501.0
-13 Feb,5205284.0,1312297.0,1880487.0,1052296.0,435925.0,437535.0,74375.0,12369.0
-14 Feb,5282123.0,1334879.0,1889587.0,1053262.0,472920.0,444430.0,74438.0,12607.0
-15 Feb,5363540.0,1360093.0,1897168.0,1054753.0,513114.0,450555.0,74823.0,13034.0
-16 Feb,5492795.0,1417164.0,1903657.0,1056209.0,566426.0,460103.0,75117.0,14119.0
-17 Feb,5670875.0,1513554.0,1909425.0,1057749.0,626101.0,472556.0,75411.0,16079.0
-18 Feb,5830685.0,1606479.0,1913996.0,1059177.0,672539.0,484631.0,75754.0,18109.0
-19 Feb,5960465.0,1682856.0,1917440.0,1060402.0,708589.0,495257.0,76118.0,19803.0
-20 Feb,6085443.0,1760864.0,1920485.0,1061095.0,739781.0,505722.0,76209.0,21287.0
-21 Feb,6133246.0,1790775.0,1921388.0,1061340.0,751660.0,510118.0,76230.0,21735.0
-22 Feb,6193803.0,1825859.0,1922851.0,1061886.0,768362.0,516033.0,76300.0,22512.0
-23 Feb,6310570.0,1906548.0,1925077.0,1062908.0,787374.0,528038.0,76475.0,24150.0
-24 Feb,6471948.0,2019598.0,1928031.0,1064000.0,812644.0,544222.0,76706.0,26747.0
-25 Feb,6647725.0,2144653.0,1931342.0,1065204.0,836143.0,563612.0,76902.0,29869.0
-26 Feb,6833323.0,2280320.0,1934380.0,1066345.0,859243.0,583058.0,77070.0,32907.0
-27 Feb,6978986.0,2390031.0,1936410.0,1066933.0,875168.0,597996.0,77140.0,35308.0
-28 Feb,7044835.0,2439969.0,1937187.0,1067101.0,883610.0,603799.0,77168.0,36001.0
-01 Mar,7101199.0,2484447.0,1938020.0,1067493.0,888888.0,608342.0,77266.0,36743.0
-02 Mar,7167167.0,2537654.0,1939028.0,1068088.0,894474.0,612990.0,77392.0,37541.0
-03 Mar,7266280.0,2619610.0,1940302.0,1068830.0,901054.0,619934.0,77518.0,39032.0
-04 Mar,7399819.0,2729601.0,1942108.0,1069642.0,910413.0,628999.0,77672.0,41384.0
-05 Mar,7542878.0,2848755.0,1944201.0,1070482.0,919989.0,637511.0,77833.0,44107.0
-06 Mar,7693301.0,2977436.0,1945748.0,1070993.0,928522.0,646289.0,77861.0,46452.0
-07 Mar,7744961.0,3023699.0,1946112.0,1071112.0,930594.0,648732.0,77868.0,46844.0
-08 Mar,7806722.0,3077599.0,1946791.0,1071378.0,933968.0,651581.0,77938.0,47467.0
-09 Mar,7873383.0,3135916.0,1947512.0,1071973.0,937076.0,654682.0,78001.0,48223.0
-10 Mar,7941654.0,3196956.0,1948198.0,1072470.0,939736.0,657293.0,78057.0,48944.0
-11 Mar,7941654.0,3196956.0,1948198.0,1072470.0,939736.0,657293.0,78057.0,48944.0
+covid_vacc_date,total,"under 60s, not in other eligible groups shown",70-79,80+,60-64,65-69,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,2226.0,1225.0,35.0,546.0,161.0,56.0,203.0,0.0,0.0
+09 Dec,6706.0,3430.0,98.0,2016.0,532.0,168.0,455.0,7.0,0.0
+10 Dec,11627.0,5565.0,168.0,3948.0,875.0,280.0,763.0,21.0,7.0
+11 Dec,16569.0,7868.0,238.0,5761.0,1211.0,399.0,1057.0,28.0,7.0
+12 Dec,21056.0,10318.0,287.0,7056.0,1484.0,497.0,1372.0,35.0,7.0
+13 Dec,24584.0,12145.0,329.0,8225.0,1722.0,574.0,1540.0,35.0,14.0
+14 Dec,29666.0,14560.0,406.0,10157.0,2016.0,679.0,1792.0,42.0,14.0
+15 Dec,56203.0,18452.0,609.0,31402.0,2499.0,896.0,2240.0,91.0,14.0
+16 Dec,97979.0,23401.0,882.0,66549.0,3129.0,1120.0,2653.0,224.0,21.0
+17 Dec,137746.0,29253.0,1505.0,98056.0,3969.0,1407.0,3192.0,336.0,28.0
+18 Dec,166040.0,34881.0,2072.0,118356.0,4746.0,1729.0,3738.0,476.0,42.0
+19 Dec,197988.0,39627.0,2744.0,143360.0,5460.0,2037.0,4158.0,553.0,49.0
+20 Dec,228774.0,46123.0,3304.0,165249.0,6377.0,2387.0,4648.0,623.0,63.0
+21 Dec,253120.0,54411.0,3969.0,178304.0,7511.0,2800.0,5348.0,707.0,70.0
+22 Dec,287595.0,61845.0,4585.0,202552.0,8491.0,3199.0,6048.0,798.0,77.0
+23 Dec,318192.0,71428.0,5306.0,219863.0,9793.0,3710.0,6888.0,1113.0,91.0
+24 Dec,328846.0,76167.0,5642.0,223713.0,10430.0,3955.0,7287.0,1554.0,98.0
+25 Dec,328902.0,76209.0,5642.0,223713.0,10437.0,3955.0,7294.0,1554.0,98.0
+26 Dec,329196.0,76454.0,5649.0,223720.0,10451.0,3962.0,7308.0,1554.0,98.0
+27 Dec,331261.0,77994.0,5670.0,223909.0,10626.0,4025.0,7385.0,1554.0,98.0
+28 Dec,334957.0,80521.0,5768.0,224378.0,10948.0,4130.0,7560.0,1554.0,98.0
+29 Dec,352415.0,87213.0,6216.0,232421.0,11725.0,4466.0,8043.0,2226.0,105.0
+30 Dec,397621.0,102410.0,8351.0,252455.0,13699.0,5278.0,9422.0,5817.0,189.0
+31 Dec,435631.0,117285.0,10584.0,266826.0,15533.0,6097.0,10717.0,8323.0,266.0
+01 Jan,444157.0,121219.0,11151.0,269465.0,16009.0,6272.0,11018.0,8729.0,294.0
+02 Jan,453446.0,126154.0,11907.0,271845.0,16499.0,6454.0,11340.0,8932.0,315.0
+03 Jan,460131.0,130298.0,12054.0,273371.0,16919.0,6594.0,11557.0,9023.0,315.0
+04 Jan,470778.0,137655.0,12271.0,274785.0,17710.0,6874.0,12033.0,9128.0,322.0
+05 Jan,491526.0,151382.0,12719.0,277935.0,19229.0,7399.0,12943.0,9562.0,357.0
+06 Jan,525532.0,169820.0,15393.0,285579.0,21504.0,8232.0,14112.0,10479.0,413.0
+07 Jan,606515.0,196679.0,25032.0,320278.0,24976.0,9604.0,15988.0,13468.0,490.0
+08 Jan,701512.0,225666.0,37835.0,361921.0,28574.0,11165.0,18214.0,17514.0,623.0
+09 Jan,784812.0,251468.0,48461.0,399420.0,31689.0,12593.0,20293.0,20202.0,686.0
+10 Jan,826945.0,267988.0,53025.0,416388.0,33369.0,13314.0,21280.0,20867.0,714.0
+11 Jan,870674.0,291921.0,56623.0,424802.0,35875.0,14168.0,23023.0,23471.0,791.0
+12 Jan,943572.0,321671.0,64036.0,449939.0,38976.0,15365.0,25074.0,27559.0,952.0
+13 Jan,1042636.0,354354.0,80360.0,488796.0,42567.0,16905.0,27265.0,31234.0,1155.0
+14 Jan,1149589.0,390075.0,99092.0,528346.0,46690.0,18753.0,29841.0,35413.0,1379.0
+15 Jan,1278480.0,430164.0,121457.0,578193.0,51401.0,20888.0,33446.0,41230.0,1701.0
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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
new file mode 100644
index 0000000..35c405c
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by ethnicity 6 groups_tpp.csv	
@@ -0,0 +1,103 @@
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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
new file mode 100644
index 0000000..f3f50be
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by imd categories_tpp.csv	
@@ -0,0 +1,103 @@
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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
new file mode 100644
index 0000000..406c13b
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by psychosis schiz bipolar_tpp.csv	
@@ -0,0 +1,103 @@
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by sex_tpp.csv b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by sex_tpp.csv
new file mode 100644
index 0000000..ec9a2cb
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among 60-64 population by sex_tpp.csv	
@@ -0,0 +1,103 @@
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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 786f9fc..549d63d 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	
@@ -1,95 +1,102 @@
 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 5108dd2..b7b88d2 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	
@@ -1,95 +1,102 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-08,0.0,0.0,0.0,0.0,7.0,49.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-09,0.0,0.0,0.0,7.0,14.0,140.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-10,0.0,0.0,0.0,14.0,21.0,231.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-11,0.0,0.0,0.0,21.0,28.0,336.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-12,7.0,0.0,0.0,28.0,42.0,413.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-13,7.0,0.0,0.0,35.0,49.0,476.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-14,14.0,7.0,0.0,49.0,63.0,546.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-15,14.0,7.0,14.0,56.0,84.0,721.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-16,21.0,14.0,14.0,70.0,105.0,903.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-17,28.0,14.0,21.0,91.0,126.0,1127.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-18,28.0,21.0,21.0,119.0,154.0,1379.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-19,35.0,21.0,28.0,140.0,182.0,1631.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-20,42.0,28.0,28.0,175.0,203.0,1918.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-21,42.0,28.0,35.0,210.0,245.0,2247.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-22,49.0,28.0,42.0,245.0,280.0,2555.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-23,56.0,35.0,42.0,322.0,308.0,2940.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-24,63.0,35.0,49.0,357.0,329.0,3122.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-25,63.0,35.0,49.0,357.0,329.0,3122.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-26,63.0,35.0,49.0,357.0,329.0,3122.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-27,63.0,42.0,49.0,364.0,336.0,3171.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-28,63.0,42.0,49.0,371.0,343.0,3262.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-29,70.0,42.0,56.0,406.0,371.0,3521.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
-2020-12-30,77.0,49.0,63.0,476.0,427.0,4179.0,10815.0,4907.0,11774.0,43351.0,103789.0,898947.0
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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 a166850..6c86f5b 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	
@@ -1,95 +1,102 @@
 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 e2901d5..90107d3 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	
@@ -1,95 +1,102 @@
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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 b529ff9..fbb9ba6 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	
@@ -1,96 +1,103 @@
 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 505e981..7c4b975 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	
@@ -1,96 +1,103 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-01,0.0,0.0,0.0,0.0,0.0,0.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-08,0.0,0.0,0.0,0.0,0.0,28.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-09,0.0,0.0,0.0,0.0,7.0,77.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-10,0.0,0.0,0.0,7.0,14.0,140.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-11,0.0,0.0,0.0,7.0,14.0,203.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-12,0.0,0.0,0.0,14.0,14.0,252.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-13,0.0,0.0,0.0,14.0,21.0,280.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-14,0.0,0.0,0.0,21.0,28.0,350.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-15,7.0,0.0,7.0,28.0,35.0,532.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-16,7.0,0.0,7.0,42.0,56.0,756.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-17,14.0,0.0,21.0,84.0,84.0,1288.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
-2020-12-18,21.0,7.0,21.0,175.0,119.0,1729.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
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-2020-12-31,77.0,42.0,77.0,847.0,497.0,9037.0,14735.0,6426.0,15281.0,55027.0,149457.0,1829709.0
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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 04c0653..7aa49ef 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	
@@ -1,96 +1,103 @@
 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 1f860e3..c825424 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	
@@ -1,96 +1,103 @@
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+2021-03-18,1936228.0,18277.0,2049334.0,20545.0
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 231d40c..b0af4d3 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	
@@ -1,96 +1,103 @@
 covid_vacc_date,no,yes,no_total,yes_total
-2020-12-01,0.0,0.0,1132453.0,560.0
-2020-12-08,539.0,0.0,1132453.0,560.0
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-2020-12-19,143451.0,28.0,1132453.0,560.0
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+2020-12-01,0.0,0.0,1130115.0,560.0
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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 901ffc8..ac26352 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	
@@ -1,96 +1,103 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-01,0.0,0.0,0.0,0.0,0.0,0.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-08,0.0,0.0,0.0,0.0,14.0,525.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-09,0.0,0.0,21.0,21.0,70.0,1890.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-10,7.0,7.0,35.0,49.0,133.0,3703.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-11,14.0,14.0,42.0,70.0,189.0,5432.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-12,21.0,14.0,49.0,84.0,231.0,6657.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-13,21.0,14.0,63.0,105.0,266.0,7756.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-14,21.0,14.0,77.0,140.0,329.0,9562.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-15,126.0,56.0,154.0,497.0,1400.0,29197.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-16,308.0,119.0,287.0,1134.0,3199.0,61551.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-17,483.0,182.0,420.0,1715.0,4760.0,90580.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-18,588.0,224.0,511.0,2156.0,5642.0,109326.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-19,756.0,294.0,644.0,2947.0,6629.0,132209.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-20,861.0,336.0,735.0,3395.0,7658.0,152425.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-21,931.0,364.0,805.0,3682.0,8204.0,164479.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-22,1022.0,413.0,875.0,4025.0,9212.0,187187.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-23,1071.0,434.0,952.0,4207.0,9954.0,203434.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-24,1085.0,455.0,973.0,4340.0,10115.0,206941.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-25,1085.0,455.0,973.0,4340.0,10115.0,206948.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-26,1085.0,455.0,973.0,4340.0,10115.0,206948.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-27,1085.0,455.0,973.0,4340.0,10122.0,207123.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-28,1085.0,455.0,980.0,4347.0,10136.0,207564.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-29,1134.0,476.0,1008.0,4501.0,10430.0,215068.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-30,1239.0,504.0,1085.0,4844.0,11277.0,233737.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2020-12-31,1288.0,532.0,1148.0,5110.0,12040.0,246953.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2021-01-01,1288.0,539.0,1155.0,5117.0,12236.0,249375.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2021-01-02,1295.0,539.0,1162.0,5159.0,12341.0,251594.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2021-01-03,1302.0,539.0,1169.0,5173.0,12432.0,253015.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
-2021-01-04,1309.0,546.0,1169.0,5187.0,12495.0,254331.0,11158.0,3276.0,6818.0,28749.0,65863.0,1017149.0
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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 39d9677..1e15879 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	
@@ -1,96 +1,103 @@
 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 2e7c9ab..f2db78a 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	
@@ -1,96 +1,103 @@
 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 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 e360ee0..d6ef0f0 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	
@@ -1,97 +1,104 @@
 covid_vacc_date,no,yes,no_total,yes_total
-2020-12-01,0.0,0.0,791252.0,26754.0
-2020-12-03,0.0,0.0,791252.0,26754.0
-2020-12-08,203.0,0.0,791252.0,26754.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by 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 ac2edd7..3c9596d 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	
@@ -1,97 +1,104 @@
 covid_vacc_date,Black,Mixed,Other,South Asian,Unknown,White,Black_total,Mixed_total,Other_total,South Asian_total,Unknown_total,White_total
-2020-12-01,0.0,0.0,0.0,0.0,0.0,0.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-03,0.0,0.0,0.0,0.0,0.0,0.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-08,0.0,7.0,0.0,14.0,0.0,168.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-09,14.0,14.0,14.0,42.0,14.0,357.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-10,28.0,21.0,21.0,70.0,28.0,602.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-11,49.0,21.0,28.0,98.0,35.0,833.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-12,56.0,28.0,35.0,133.0,42.0,1078.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-13,56.0,35.0,35.0,161.0,49.0,1204.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-14,63.0,35.0,42.0,189.0,56.0,1393.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-15,77.0,42.0,49.0,245.0,63.0,1764.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-16,98.0,42.0,56.0,280.0,77.0,2093.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-17,119.0,56.0,63.0,357.0,98.0,2492.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-18,147.0,63.0,77.0,420.0,119.0,2912.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-19,161.0,70.0,84.0,483.0,126.0,3227.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-20,182.0,77.0,98.0,560.0,147.0,3577.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-21,217.0,91.0,112.0,665.0,168.0,4088.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-22,245.0,98.0,126.0,791.0,182.0,4599.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-23,294.0,112.0,147.0,903.0,210.0,5208.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
-2020-12-24,301.0,119.0,168.0,980.0,224.0,5488.0,44366.0,14210.0,18032.0,107996.0,33012.0,600390.0
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diff --git a/released-outputs/machine_readable_outputs/figure_csvs/Cumulative vaccination percent among shielding (aged 16-69) population by 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 301c2c2..dd83e79 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	
@@ -1,97 +1,104 @@
 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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+2021-02-12,95578.0,88592.0,85792.0,74774.0,62727.0,9506.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-13,101192.0,93079.0,90069.0,78085.0,65478.0,10017.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-14,102998.0,94605.0,91504.0,79163.0,66388.0,10157.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-15,105091.0,96040.0,92603.0,79940.0,66976.0,10304.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-16,108262.0,98266.0,94409.0,81235.0,67830.0,10549.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-17,112770.0,101248.0,96614.0,82754.0,68789.0,10864.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-18,116872.0,104195.0,98805.0,84322.0,69790.0,11158.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-19,120372.0,106925.0,100765.0,85617.0,70707.0,11424.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-20,123746.0,109235.0,102704.0,87010.0,71862.0,11732.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-21,125342.0,110341.0,103530.0,87458.0,72198.0,11823.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-22,127554.0,111860.0,104552.0,88095.0,72590.0,11970.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-23,131579.0,114828.0,106659.0,89733.0,73591.0,12243.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-24,137116.0,118769.0,109620.0,91826.0,74921.0,12628.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-25,143864.0,123284.0,113218.0,94276.0,76559.0,13118.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-26,150437.0,128009.0,116788.0,96656.0,78288.0,13636.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-27,155834.0,131369.0,119322.0,98483.0,79723.0,14042.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-02-28,157969.0,132720.0,120400.0,99057.0,80199.0,14231.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-01,159425.0,133931.0,121303.0,99596.0,80542.0,14343.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-02,161028.0,135107.0,122136.0,100163.0,80934.0,14469.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-03,163667.0,136892.0,123235.0,100954.0,81452.0,14630.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-04,166936.0,139118.0,124831.0,102018.0,82208.0,14847.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-05,170163.0,141106.0,126357.0,103061.0,82866.0,15057.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-06,173418.0,143087.0,127841.0,104146.0,83706.0,15288.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-07,174398.0,143689.0,128226.0,104384.0,83860.0,15372.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-08,175504.0,144410.0,128681.0,104713.0,84056.0,15442.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-09,176701.0,145320.0,129227.0,104972.0,84245.0,15547.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-10,177877.0,146125.0,129731.0,105266.0,84455.0,15610.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-11,178822.0,146776.0,130109.0,105511.0,84623.0,15673.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-12,180404.0,147658.0,130697.0,105889.0,84854.0,15757.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-13,182371.0,148778.0,131404.0,106372.0,85148.0,15897.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-14,183043.0,149352.0,131719.0,106596.0,85281.0,15946.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-15,184114.0,150094.0,132146.0,106862.0,85463.0,16009.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-16,185073.0,150647.0,132482.0,107121.0,85603.0,16058.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-17,186039.0,151179.0,132797.0,107324.0,85757.0,16107.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
+2021-03-18,186039.0,151179.0,132797.0,107324.0,85757.0,16107.0,243124.0,185633.0,155239.0,121387.0,94262.0,19502.0
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
new file mode 100644
index 0000000..4ae4613
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among 60-64 population_tpp.csv	
@@ -0,0 +1,55 @@
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1022536,80.0,1277766,68.0,12.0
+Sex,F,522116,82.2,635075,70.8,11.4
+Sex,M,500416,77.9,642684,65.3,12.6
+Ethnicity (broad categories),Black,10416,53.4,19495,45.2,8.2
+Ethnicity (broad categories),Mixed,5166,65.2,7924,55.6,9.6
+Ethnicity (broad categories),Other,9786,60.9,16058,51.6,9.3
+Ethnicity (broad categories),South Asian,38514,73.7,52283,66.4,7.3
+Ethnicity (broad categories),Unknown,100205,69.4,144410,55.9,13.5
+Ethnicity (broad categories),White,858445,82.7,1037589,70.5,12.2
+ethnicity 16 groups, African,4116,53.6,7672,45.9,7.7
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1666,74.4,2240,65.9,8.5
+ethnicity 16 groups, Caribbean,4095,52.2,7847,43.6,8.6
+ethnicity 16 groups, Chinese,2933,61.7,4753,49.9,11.8
+ethnicity 16 groups, Other,6860,60.6,11312,52.3,8.3
+ethnicity 16 groups, Other Asian,8008,72.2,11095,64.5,7.7
+ethnicity 16 groups,British or Mixed British,809697,84.3,960722,71.8,12.5
+ethnicity 16 groups,Indian or British Indian,20720,79.1,26194,72.4,6.7
+ethnicity 16 groups,Irish,5152,78.9,6531,70.3,8.6
+ethnicity 16 groups,Other Black,2212,55.5,3983,47.1,8.4
+ethnicity 16 groups,Other White,43603,62.0,70343,53.1,8.9
+ethnicity 16 groups,Other mixed,1981,65.7,3017,57.1,8.6
+ethnicity 16 groups,Pakistani or British Pakistani,8120,63.7,12754,55.7,8.0
+ethnicity 16 groups,Unknown,100198,69.4,144389,55.9,13.5
+ethnicity 16 groups,White + Asian,1106,75.6,1463,64.6,11.0
+ethnicity 16 groups,White + Black African,889,60.2,1477,50.2,10.0
+ethnicity 16 groups,White + Black Caribbean,1190,60.5,1967,50.5,10.0
+Index of Multiple Deprivation (quintiles),1 Most deprived,141820,71.4,198569,59.7,11.7
+Index of Multiple Deprivation (quintiles),2,177989,76.9,231511,64.9,12.0
+Index of Multiple Deprivation (quintiles),3,224868,81.0,277452,68.8,12.2
+Index of Multiple Deprivation (quintiles),4,231658,83.1,278936,70.7,12.4
+Index of Multiple Deprivation (quintiles),5 Least deprived,225708,85.0,265608,73.1,11.9
+Index of Multiple Deprivation (quintiles),Unknown,20496,79.8,25669,69.5,10.3
+BMI,30+,264299,85.3,309953,75.2,10.1
+BMI,under 30,758233,78.3,967799,65.7,12.6
+Chronic cardiac disease,no,941059,79.4,1184659,66.9,12.5
+Chronic cardiac disease,yes,81473,87.5,93093,82.3,5.2
+Current COPD,no,992621,79.8,1243165,67.6,12.2
+Current COPD,yes,29911,86.5,34594,81.2,5.3
+DMARDs,no,1004255,79.9,1257011,67.8,12.1
+DMARDs,yes,18277,88.1,20741,80.9,7.2
+Dementia,no,1019459,80.0,1274098,68.0,12.0
+Dementia,yes,3073,84.1,3654,75.9,8.2
+"Psychosis, schizophrenia, or bipolar",no,1011528,80.1,1263038,68.0,12.1
+"Psychosis, schizophrenia, or bipolar",yes,11004,74.8,14721,67.9,6.9
+SSRI (last 12 months),no,914704,79.6,1149582,67.4,12.2
+SSRI (last 12 months),yes,107828,84.1,128170,73.0,11.1
+Chemo or radiotherapy,no,1006852,79.9,1259720,67.9,12.0
+Chemo or radiotherapy,yes,15680,87.0,18032,76.5,10.5
+Cancer (lung),no,1021566,80.0,1276583,68.0,12.0
+Cancer (lung),yes,966,82.1,1176,75.6,6.5
+Cancer (excluding lung/haem),no,960708,79.7,1205953,67.5,12.2
+Cancer (excluding lung/haem),yes,61824,86.1,71799,75.6,10.5
+Cancer (haematological),no,1019536,80.0,1274371,67.9,12.1
+Cancer (haematological),yes,2996,88.6,3381,83.4,5.2
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 dd42dce..3340e0b 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,939738,87.5,1073590,84.8,2.7
-Sex,F,484918,88.5,548226,85.7,2.8
-Sex,M,454818,86.6,525357,83.8,2.8
-Ethnicity (broad categories),Black,6475,59.9,10815,57.1,2.8
-Ethnicity (broad categories),Mixed,3472,70.8,4907,68.0,2.8
-Ethnicity (broad categories),Other,8085,68.7,11774,66.1,2.6
-Ethnicity (broad categories),South Asian,34055,78.6,43351,76.5,2.1
-Ethnicity (broad categories),Unknown,80920,78.0,103789,74.9,3.1
-Ethnicity (broad categories),White,806729,89.7,898947,87.0,2.7
-ethnicity 16 groups, African,2443,57.0,4284,54.6,2.4
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1351,79.1,1708,75.8,3.3
-ethnicity 16 groups, Caribbean,2723,60.3,4515,57.4,2.9
-ethnicity 16 groups, Chinese,2604,68.8,3787,65.6,3.2
-ethnicity 16 groups, Other,5467,68.5,7980,66.1,2.4
-ethnicity 16 groups, Other Asian,6307,77.7,8113,75.5,2.2
-ethnicity 16 groups,British or Mixed British,764407,90.8,841442,88.1,2.7
-ethnicity 16 groups,Indian or British Indian,19138,84.1,22757,82.4,1.7
-ethnicity 16 groups,Irish,5614,86.1,6524,84.0,2.1
-ethnicity 16 groups,Other Black,1309,65.2,2009,62.0,3.2
-ethnicity 16 groups,Other White,36715,72.0,50988,69.7,2.3
-ethnicity 16 groups,Other mixed,1351,71.2,1897,68.6,2.6
-ethnicity 16 groups,Pakistani or British Pakistani,7252,67.3,10773,64.7,2.6
-ethnicity 16 groups,Unknown,80920,78.0,103782,74.9,3.1
-ethnicity 16 groups,White + Asian,812,80.0,1015,77.9,2.1
-ethnicity 16 groups,White + Black African,567,64.3,882,61.9,2.4
-ethnicity 16 groups,White + Black Caribbean,749,66.9,1120,63.1,3.8
-Index of Multiple Deprivation (quintiles),1 Most deprived,122507,79.8,153580,76.1,3.7
-Index of Multiple Deprivation (quintiles),2,160244,84.8,188930,81.8,3.0
-Index of Multiple Deprivation (quintiles),3,209111,88.2,237195,85.4,2.8
-Index of Multiple Deprivation (quintiles),4,215824,90.0,239715,87.6,2.4
-Index of Multiple Deprivation (quintiles),5 Least deprived,213283,91.7,232638,89.5,2.2
-Index of Multiple Deprivation (quintiles),Unknown,18767,87.2,21518,84.5,2.7
-BMI,30+,241759,90.1,268275,87.3,2.8
-BMI,under 30,697970,86.7,805308,84.0,2.7
-Chronic cardiac disease,no,840385,87.3,962647,84.6,2.7
-Chronic cardiac disease,yes,99351,89.6,110929,86.8,2.8
-Current COPD,no,903546,87.5,1032731,84.8,2.7
-Current COPD,yes,36190,88.6,40852,85.6,3.0
-DMARDs,no,921606,87.5,1053766,84.7,2.8
-DMARDs,yes,18130,91.5,19817,88.9,2.6
-Dementia,no,934850,87.5,1067976,84.8,2.7
-Dementia,yes,4879,87.1,5600,83.8,3.3
-"Psychosis, schizophrenia, or bipolar",no,930713,87.6,1061921,84.9,2.7
-"Psychosis, schizophrenia, or bipolar",yes,9023,77.4,11662,73.4,4.0
-Learning disability,no,937741,87.6,1071035,84.8,2.8
-Learning disability,yes,1995,78.3,2548,72.0,6.3
-SSRI (last 12 months),no,857843,87.3,982541,84.6,2.7
-SSRI (last 12 months),yes,81886,89.9,91042,86.8,3.1
-Chemo or radiotherapy,no,921704,87.5,1053787,84.7,2.8
-Chemo or radiotherapy,yes,18032,91.1,19789,88.4,2.7
-Cancer (lung),no,938189,87.5,1071805,84.8,2.7
-Cancer (lung),yes,1547,87.0,1778,84.3,2.7
-Cancer (excluding lung/haem),no,860006,87.2,986202,84.4,2.8
-Cancer (excluding lung/haem),yes,79723,91.2,87381,88.8,2.4
-Cancer (haematological),no,936397,87.5,1069852,84.8,2.7
-Cancer (haematological),yes,3339,89.7,3724,86.5,3.2
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,964435,89.9,1073352,87.9,2.0
+Sex,F,497098,90.7,548170,88.8,1.9
+Sex,M,467334,89.0,525175,87.0,2.0
+Ethnicity (broad categories),Black,6811,63.1,10787,60.5,2.6
+Ethnicity (broad categories),Mixed,3598,73.3,4907,71.2,2.1
+Ethnicity (broad categories),Other,8372,71.1,11781,68.9,2.2
+Ethnicity (broad categories),South Asian,35028,80.8,43337,79.0,1.8
+Ethnicity (broad categories),Unknown,83664,80.7,103635,78.4,2.3
+Ethnicity (broad categories),White,826952,92.0,898905,90.1,1.9
+ethnicity 16 groups, African,2590,60.6,4277,57.4,3.2
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1407,82.4,1708,79.5,2.9
+ethnicity 16 groups, Caribbean,2856,63.4,4508,60.9,2.5
+ethnicity 16 groups, Chinese,2716,71.7,3787,69.1,2.6
+ethnicity 16 groups, Other,5663,70.9,7987,68.8,2.1
+ethnicity 16 groups, Other Asian,6482,80.0,8106,78.2,1.8
+ethnicity 16 groups,British or Mixed British,783468,93.1,841442,91.2,1.9
+ethnicity 16 groups,Indian or British Indian,19530,85.8,22764,84.5,1.3
+ethnicity 16 groups,Irish,5719,87.7,6524,86.2,1.5
+ethnicity 16 groups,Other Black,1365,67.9,2009,65.9,2.0
+ethnicity 16 groups,Other White,37744,74.1,50918,72.4,1.7
+ethnicity 16 groups,Other mixed,1386,73.3,1890,71.5,1.8
+ethnicity 16 groups,Pakistani or British Pakistani,7602,70.7,10752,68.1,2.6
+ethnicity 16 groups,Unknown,83685,80.7,103656,78.4,2.3
+ethnicity 16 groups,White + Asian,840,82.8,1015,80.7,2.1
+ethnicity 16 groups,White + Black African,588,66.7,882,65.1,1.6
+ethnicity 16 groups,White + Black Caribbean,784,70.0,1120,66.9,3.1
+Index of Multiple Deprivation (quintiles),1 Most deprived,127974,83.4,153433,80.3,3.1
+Index of Multiple Deprivation (quintiles),2,165459,87.6,188804,85.3,2.3
+Index of Multiple Deprivation (quintiles),3,214417,90.5,237048,88.5,2.0
+Index of Multiple Deprivation (quintiles),4,220353,91.8,239932,90.3,1.5
+Index of Multiple Deprivation (quintiles),5 Least deprived,216937,93.3,232554,91.9,1.4
+Index of Multiple Deprivation (quintiles),Unknown,19285,89.4,21567,87.5,1.9
+BMI,30+,247989,92.5,268114,90.5,2.0
+BMI,under 30,716443,89.0,805231,87.0,2.0
+Chronic cardiac disease,no,862519,89.6,962353,87.7,1.9
+Chronic cardiac disease,yes,101913,91.8,110992,89.9,1.9
+Current COPD,no,927192,89.8,1032542,87.9,1.9
+Current COPD,yes,37240,91.3,40803,89.0,2.3
+DMARDs,no,945903,89.8,1053542,87.8,2.0
+DMARDs,yes,18529,93.5,19810,91.8,1.7
+Dementia,no,959392,89.9,1067738,87.9,2.0
+Dementia,yes,5033,89.8,5607,87.8,2.0
+"Psychosis, schizophrenia, or bipolar",no,954954,89.9,1061676,88.0,1.9
+"Psychosis, schizophrenia, or bipolar",yes,9478,81.2,11676,78.0,3.2
+Learning disability,no,962297,89.9,1070818,87.9,2.0
+Learning disability,yes,2128,84.0,2534,79.3,4.7
+SSRI (last 12 months),no,880152,89.6,982345,87.7,1.9
+SSRI (last 12 months),yes,84280,92.6,91000,90.4,2.2
+Chemo or radiotherapy,no,945959,89.8,1053570,87.8,2.0
+Chemo or radiotherapy,yes,18466,93.3,19782,91.6,1.7
+Cancer (lung),no,962843,89.9,1071574,87.9,2.0
+Cancer (lung),yes,1582,89.3,1771,87.7,1.6
+Cancer (excluding lung/haem),no,882903,89.6,985929,87.6,2.0
+Cancer (excluding lung/haem),yes,81529,93.3,87416,91.6,1.7
+Cancer (haematological),no,961002,89.8,1069628,87.9,1.9
+Cancer (haematological),yes,3423,92.1,3717,90.4,1.7
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 9f93330..a665514 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,1948199,94.1,2070642,93.8,0.3
-Sex,F,1022889,94.3,1085084,94.0,0.3
-Sex,M,925309,93.9,985551,93.6,0.3
-Age band,70-74,1124942,93.6,1201879,93.3,0.3
-Age band,75-79,823256,94.8,868763,94.5,0.3
-Ethnicity (broad categories),Black,9982,67.7,14735,66.7,1.0
-Ethnicity (broad categories),Mixed,5096,79.3,6426,78.6,0.7
-Ethnicity (broad categories),Other,11816,77.3,15281,76.8,0.5
-Ethnicity (broad categories),South Asian,46123,83.8,55027,83.1,0.7
-Ethnicity (broad categories),Unknown,129549,86.7,149457,86.3,0.4
-Ethnicity (broad categories),White,1745625,95.4,1829709,95.1,0.3
-ethnicity 16 groups, African,3255,61.4,5299,60.4,1.0
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1491,82.2,1813,80.7,1.5
-ethnicity 16 groups, Caribbean,5005,71.6,6986,70.6,1.0
-ethnicity 16 groups, Chinese,3129,76.9,4067,76.4,0.5
-ethnicity 16 groups, Other,8680,77.5,11207,77.0,0.5
-ethnicity 16 groups, Other Asian,9100,81.4,11186,80.7,0.7
-ethnicity 16 groups,British or Mixed British,1660176,95.9,1731219,95.6,0.3
-ethnicity 16 groups,Indian or British Indian,26810,88.3,30366,87.8,0.5
-ethnicity 16 groups,Irish,13979,91.9,15218,91.4,0.5
-ethnicity 16 groups,Other Black,1715,70.0,2450,68.9,1.1
-ethnicity 16 groups,Other White,71484,85.8,83279,85.5,0.3
-ethnicity 16 groups,Other mixed,2030,80.8,2513,80.2,0.6
-ethnicity 16 groups,Pakistani or British Pakistani,8736,74.8,11676,73.6,1.2
-ethnicity 16 groups,Unknown,129542,86.7,149443,86.3,0.4
-ethnicity 16 groups,White + Asian,1169,85.6,1365,85.6,0.0
-ethnicity 16 groups,White + Black African,770,72.4,1064,71.7,0.7
-ethnicity 16 groups,White + Black Caribbean,1127,75.9,1484,74.5,1.4
-Index of Multiple Deprivation (quintiles),1 Most deprived,247667,90.4,274029,89.9,0.5
-Index of Multiple Deprivation (quintiles),2,326179,92.7,351939,92.3,0.4
-Index of Multiple Deprivation (quintiles),3,435085,94.4,460929,94.1,0.3
-Index of Multiple Deprivation (quintiles),4,453075,95.2,476049,94.9,0.3
-Index of Multiple Deprivation (quintiles),5 Least deprived,450737,96.0,469637,95.8,0.2
-Index of Multiple Deprivation (quintiles),Unknown,35455,93.2,38052,92.8,0.4
-BMI,30+,488936,95.5,511966,95.2,0.3
-BMI,under 30,1459262,93.6,1558676,93.3,0.3
-Chronic cardiac disease,no,1595958,93.8,1700552,93.6,0.2
-Chronic cardiac disease,yes,352240,95.2,370090,94.9,0.3
-Current COPD,no,1761081,94.0,1873858,93.7,0.3
-Current COPD,yes,187117,95.1,196784,94.7,0.4
-Dialysis,no,1944362,94.1,2066561,93.8,0.3
-Dialysis,yes,3836,94.0,4081,93.5,0.5
-DMARDs,no,1878835,94.0,1998570,93.7,0.3
-DMARDs,yes,69356,96.2,72072,95.9,0.3
-Dementia,no,1907682,94.1,2027361,93.8,0.3
-Dementia,yes,40509,93.6,43274,93.1,0.5
-"Psychosis, schizophrenia, or bipolar",no,1930089,94.1,2050076,93.9,0.2
-"Psychosis, schizophrenia, or bipolar",yes,18102,88.0,20566,87.2,0.8
-Learning disability,no,1945454,94.1,2067541,93.8,0.3
-Learning disability,yes,2737,88.5,3094,87.3,1.2
-SSRI (last 12 months),no,1799672,93.9,1915844,93.6,0.3
-SSRI (last 12 months),yes,148526,96.0,154791,95.6,0.4
-Chemo or radiotherapy,no,1881607,94.0,2001321,93.7,0.3
-Chemo or radiotherapy,yes,66584,96.1,69314,95.8,0.3
-Cancer (lung),no,1936235,94.1,2057979,93.8,0.3
-Cancer (lung),yes,11956,94.4,12663,94.0,0.4
-Cancer (excluding lung/haem),no,1674204,93.8,1785301,93.5,0.3
-Cancer (excluding lung/haem),yes,273987,96.0,285334,95.7,0.3
-Cancer (haematological),no,1919169,94.1,2040318,93.8,0.3
-Cancer (haematological),yes,29022,95.7,30324,95.4,0.3
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1954509,94.4,2069893,94.2,0.2
+Sex,F,1026326,94.6,1084832,94.4,0.2
+Sex,M,928179,94.2,985054,94.0,0.2
+Age band,70-74,1129254,94.0,1201522,93.7,0.3
+Age band,75-79,825244,95.0,868357,94.9,0.1
+Ethnicity (broad categories),Black,10136,69.0,14700,68.1,0.9
+Ethnicity (broad categories),Mixed,5152,80.2,6426,79.5,0.7
+Ethnicity (broad categories),Other,11907,78.0,15267,77.4,0.6
+Ethnicity (broad categories),South Asian,46578,84.7,54985,84.0,0.7
+Ethnicity (broad categories),Unknown,130123,87.2,149149,87.0,0.2
+Ethnicity (broad categories),White,1750602,95.7,1829352,95.5,0.2
+ethnicity 16 groups, African,3318,62.9,5271,62.0,0.9
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1512,83.4,1813,82.2,1.2
+ethnicity 16 groups, Caribbean,5075,72.8,6972,72.0,0.8
+ethnicity 16 groups, Chinese,3150,77.3,4074,77.0,0.3
+ethnicity 16 groups, Other,8757,78.2,11200,77.6,0.6
+ethnicity 16 groups, Other Asian,9149,81.9,11172,81.5,0.4
+ethnicity 16 groups,British or Mixed British,1664733,96.2,1730918,96.0,0.2
+ethnicity 16 groups,Indian or British Indian,26978,88.9,30345,88.5,0.4
+ethnicity 16 groups,Irish,14028,92.3,15197,92.0,0.3
+ethnicity 16 groups,Other Black,1743,70.9,2457,70.4,0.5
+ethnicity 16 groups,Other White,71827,86.3,83223,86.0,0.3
+ethnicity 16 groups,Other mixed,2044,81.3,2513,81.1,0.2
+ethnicity 16 groups,Pakistani or British Pakistani,8939,76.7,11655,75.1,1.6
+ethnicity 16 groups,Unknown,130144,87.2,149177,87.0,0.2
+ethnicity 16 groups,White + Asian,1176,86.6,1358,86.1,0.5
+ethnicity 16 groups,White + Black African,784,73.2,1071,72.5,0.7
+ethnicity 16 groups,White + Black Caribbean,1141,77.3,1477,76.3,1.0
+Index of Multiple Deprivation (quintiles),1 Most deprived,249025,91.0,273721,90.6,0.4
+Index of Multiple Deprivation (quintiles),2,327341,93.1,351638,92.8,0.3
+Index of Multiple Deprivation (quintiles),3,436261,94.7,460579,94.5,0.2
+Index of Multiple Deprivation (quintiles),4,454559,95.4,476336,95.3,0.1
+Index of Multiple Deprivation (quintiles),5 Least deprived,451689,96.2,469518,96.1,0.1
+Index of Multiple Deprivation (quintiles),Unknown,35623,93.5,38094,93.3,0.2
+BMI,30+,490441,95.9,511665,95.6,0.3
+BMI,under 30,1464064,94.0,1558221,93.7,0.3
+Chronic cardiac disease,no,1600788,94.2,1699649,94.0,0.2
+Chronic cardiac disease,yes,353717,95.5,370237,95.3,0.2
+Current COPD,no,1766604,94.3,1873214,94.1,0.2
+Current COPD,yes,187901,95.5,196665,95.2,0.3
+Dialysis,no,1950648,94.4,2065805,94.2,0.2
+Dialysis,yes,3857,94.5,4081,94.2,0.3
+DMARDs,no,1884918,94.3,1997800,94.1,0.2
+DMARDs,yes,69587,96.5,72086,96.3,0.2
+Dementia,no,1913646,94.4,2026514,94.2,0.2
+Dementia,yes,40859,94.2,43372,93.9,0.3
+"Psychosis, schizophrenia, or bipolar",no,1936228,94.5,2049334,94.3,0.2
+"Psychosis, schizophrenia, or bipolar",yes,18277,89.0,20545,88.3,0.7
+Learning disability,no,1951719,94.4,2066799,94.2,0.2
+Learning disability,yes,2786,90.2,3087,89.1,1.1
+SSRI (last 12 months),no,1805342,94.3,1915081,94.1,0.2
+SSRI (last 12 months),yes,149163,96.4,154798,96.1,0.3
+Chemo or radiotherapy,no,1887669,94.4,2000544,94.1,0.3
+Chemo or radiotherapy,yes,66836,96.4,69342,96.2,0.2
+Cancer (lung),no,1942465,94.4,2057223,94.2,0.2
+Cancer (lung),yes,12040,95.1,12663,94.7,0.4
+Cancer (excluding lung/haem),no,1679293,94.1,1784181,93.9,0.2
+Cancer (excluding lung/haem),yes,275212,96.3,285705,96.1,0.2
+Cancer (haematological),no,1925329,94.4,2039513,94.2,0.2
+Cancer (haematological),yes,29176,96.1,30373,95.8,0.3
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 553acf5..cbf6c37 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,1072468,94.7,1133020,94.4,0.3
-Sex,F,620690,94.5,656537,94.3,0.2
-Sex,M,451773,94.8,476476,94.6,0.2
-Age band,80-84,562863,95.1,592123,94.8,0.3
-Age band,85-89,335524,94.7,354116,94.5,0.2
-Age band,90+,174076,93.2,186781,92.9,0.3
-Ethnicity (broad categories),Black,7952,71.3,11158,70.3,1.0
-Ethnicity (broad categories),Mixed,2625,80.1,3276,79.7,0.4
-Ethnicity (broad categories),Other,5488,80.5,6818,80.1,0.4
-Ethnicity (broad categories),South Asian,24038,83.6,28749,83.0,0.6
-Ethnicity (broad categories),Unknown,55909,84.9,65863,84.6,0.3
-Ethnicity (broad categories),White,976444,96.0,1017149,95.8,0.2
-ethnicity 16 groups, African,1316,62.0,2121,60.7,1.3
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,1022,77.2,1323,76.2,1.0
-ethnicity 16 groups, Caribbean,5698,74.2,7679,73.3,0.9
-ethnicity 16 groups, Chinese,1337,77.6,1722,77.2,0.4
-ethnicity 16 groups, Other,4158,81.6,5096,81.0,0.6
-ethnicity 16 groups, Other Asian,3591,80.8,4445,80.2,0.6
-ethnicity 16 groups,British or Mixed British,927724,96.3,963459,96.1,0.2
-ethnicity 16 groups,Indian or British Indian,13503,89.3,15127,88.9,0.4
-ethnicity 16 groups,Irish,9121,93.4,9765,93.1,0.3
-ethnicity 16 groups,Other Black,938,69.4,1351,68.4,1.0
-ethnicity 16 groups,Other White,39564,90.2,43883,89.7,0.5
-ethnicity 16 groups,Other mixed,980,85.4,1148,84.8,0.6
-ethnicity 16 groups,Pakistani or British Pakistani,5922,75.5,7847,74.2,1.3
-ethnicity 16 groups,Unknown,55937,84.9,65891,84.6,0.3
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,1073825,95.0,1130682,94.8,0.2
+Sex,F,621621,94.9,655270,94.7,0.2
+Sex,M,452193,95.1,475405,95.0,0.1
+Age band,80-84,563843,95.3,591500,95.2,0.1
+Age band,85-89,335979,95.1,353346,94.9,0.2
+Age band,90+,173999,93.6,185822,93.4,0.2
+Ethnicity (broad categories),Black,8050,72.3,11130,71.6,0.7
+Ethnicity (broad categories),Mixed,2646,80.9,3269,80.3,0.6
+Ethnicity (broad categories),Other,5509,81.1,6790,80.7,0.4
+Ethnicity (broad categories),South Asian,24192,84.4,28651,83.9,0.5
+Ethnicity (broad categories),Unknown,56070,85.3,65695,85.1,0.2
+Ethnicity (broad categories),White,977361,96.3,1015140,96.1,0.2
+ethnicity 16 groups, African,1337,63.2,2114,62.6,0.6
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,1036,78.3,1323,77.2,1.1
+ethnicity 16 groups, Caribbean,5775,75.3,7665,74.5,0.8
+ethnicity 16 groups, Chinese,1337,78.3,1708,78.3,0.0
+ethnicity 16 groups, Other,4165,82.0,5082,81.7,0.3
+ethnicity 16 groups, Other Asian,3605,81.4,4431,81.0,0.4
+ethnicity 16 groups,British or Mixed British,928578,96.6,961604,96.4,0.2
+ethnicity 16 groups,Indian or British Indian,13545,89.8,15085,89.5,0.3
+ethnicity 16 groups,Irish,9128,93.7,9737,93.5,0.2
+ethnicity 16 groups,Other Black,938,69.4,1351,69.4,0.0
+ethnicity 16 groups,Other White,39613,90.5,43750,90.4,0.1
+ethnicity 16 groups,Other mixed,973,84.8,1148,84.8,0.0
+ethnicity 16 groups,Pakistani or British Pakistani,6013,76.9,7819,75.8,1.1
+ethnicity 16 groups,Unknown,56105,85.4,65723,85.2,0.2
 ethnicity 16 groups,White + Asian,469,85.9,546,85.9,0.0
 ethnicity 16 groups,White + Black African,252,67.9,371,67.9,0.0
-ethnicity 16 groups,White + Black Caribbean,938,77.0,1218,76.4,0.6
-Index of Multiple Deprivation (quintiles),1 Most deprived,133700,90.7,147343,90.4,0.3
-Index of Multiple Deprivation (quintiles),2,177128,93.2,190001,92.9,0.3
-Index of Multiple Deprivation (quintiles),3,240275,95.1,252742,94.8,0.3
-Index of Multiple Deprivation (quintiles),4,249851,95.8,260890,95.6,0.2
-Index of Multiple Deprivation (quintiles),5 Least deprived,252707,96.4,262066,96.2,0.2
-Index of Multiple Deprivation (quintiles),Unknown,18802,94.1,19971,93.9,0.2
-BMI,30+,188986,95.9,197015,95.7,0.2
-BMI,under 30,883477,94.4,935998,94.1,0.3
-Chronic cardiac disease,no,748559,94.2,794801,93.9,0.3
-Chronic cardiac disease,yes,323904,95.8,338219,95.5,0.3
-Current COPD,no,959000,94.5,1014496,94.3,0.2
-Current COPD,yes,113463,95.7,118524,95.5,0.2
-Dialysis,no,1070468,94.7,1130913,94.4,0.3
-Dialysis,yes,1995,95.0,2100,94.7,0.3
-DMARDs,no,1038702,94.6,1098097,94.3,0.3
-DMARDs,yes,33761,96.7,34916,96.5,0.2
-Dementia,no,983738,94.7,1038695,94.5,0.2
-Dementia,yes,88725,94.1,94318,93.7,0.4
-"Psychosis, schizophrenia, or bipolar",no,1064595,94.7,1124270,94.4,0.3
-"Psychosis, schizophrenia, or bipolar",yes,7868,90.0,8743,89.5,0.5
-Learning disability,no,1071952,94.7,1132453,94.4,0.3
-Learning disability,yes,511,91.2,560,90.0,1.2
-SSRI (last 12 months),no,1005767,94.5,1063762,94.3,0.2
-SSRI (last 12 months),yes,66696,96.3,69251,96.0,0.3
-Chemo or radiotherapy,no,1035748,94.6,1094933,94.3,0.3
-Chemo or radiotherapy,yes,36715,96.4,38080,96.2,0.2
-Cancer (lung),no,1065155,94.6,1125362,94.4,0.2
-Cancer (lung),yes,7308,95.5,7651,95.2,0.3
-Cancer (excluding lung/haem),no,877695,94.3,930909,94.0,0.3
-Cancer (excluding lung/haem),yes,194768,96.4,202104,96.2,0.2
-Cancer (haematological),no,1052478,94.6,1112251,94.4,0.2
-Cancer (haematological),yes,19985,96.3,20762,96.1,0.2
+ethnicity 16 groups,White + Black Caribbean,952,78.2,1218,77.0,1.2
+Index of Multiple Deprivation (quintiles),1 Most deprived,134064,91.3,146860,91.0,0.3
+Index of Multiple Deprivation (quintiles),2,177457,93.6,189581,93.4,0.2
+Index of Multiple Deprivation (quintiles),3,240394,95.4,252077,95.2,0.2
+Index of Multiple Deprivation (quintiles),4,250173,96.0,260575,95.9,0.1
+Index of Multiple Deprivation (quintiles),5 Least deprived,252889,96.7,261639,96.5,0.2
+Index of Multiple Deprivation (quintiles),Unknown,18844,94.5,19936,94.3,0.2
+BMI,30+,189189,96.2,196630,96.0,0.2
+BMI,under 30,884632,94.7,934045,94.5,0.2
+Chronic cardiac disease,no,749406,94.5,793100,94.3,0.2
+Chronic cardiac disease,yes,324415,96.1,337575,95.9,0.2
+Current COPD,no,960225,94.8,1012417,94.7,0.1
+Current COPD,yes,113589,96.1,118258,95.9,0.2
+Dialysis,no,1071826,95.0,1128582,94.8,0.2
+Dialysis,yes,1995,95.3,2093,95.3,0.0
+DMARDs,no,1040046,94.9,1095829,94.7,0.2
+DMARDs,yes,33775,96.9,34846,96.8,0.1
+Dementia,no,984711,95.0,1036490,94.8,0.2
+Dementia,yes,89103,94.6,94185,94.3,0.3
+"Psychosis, schizophrenia, or bipolar",no,1065904,95.0,1121939,94.8,0.2
+"Psychosis, schizophrenia, or bipolar",yes,7910,90.5,8736,90.1,0.4
+Learning disability,no,1073303,95.0,1130115,94.8,0.2
+Learning disability,yes,511,91.2,560,91.2,0.0
+SSRI (last 12 months),no,1006971,94.9,1061522,94.7,0.2
+SSRI (last 12 months),yes,66850,96.7,69153,96.5,0.2
+Chemo or radiotherapy,no,1037071,94.9,1092651,94.7,0.2
+Chemo or radiotherapy,yes,36750,96.6,38024,96.5,0.1
+Cancer (lung),no,1066485,95.0,1123024,94.8,0.2
+Cancer (lung),yes,7336,95.9,7651,95.7,0.2
+Cancer (excluding lung/haem),no,878752,94.6,928816,94.4,0.2
+Cancer (excluding lung/haem),yes,195069,96.6,201859,96.5,0.1
+Cancer (haematological),no,1053787,94.9,1109941,94.8,0.1
+Cancer (haematological),yes,20027,96.6,20734,96.5,0.1
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 6f2b518..aa22267 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,48943,60.9,80367,51.5,9.4
-Sex,F,19523,64.2,30394,54.7,9.5
-Sex,M,29414,58.9,49966,49.6,9.3
-Age band,16-29,17171,52.5,32725,43.1,9.4
-Age band,30-34,6188,59.0,10493,49.2,9.8
-Age band,35-39,4816,63.5,7581,53.4,10.1
-Age band,40-44,3941,66.1,5964,55.9,10.2
-Age band,45-49,4102,67.7,6055,57.6,10.1
-Age band,50-54,4543,70.7,6426,61.4,9.3
-Age band,55-59,4613,72.1,6398,64.2,7.9
-Age band,60-64,3563,75.5,4718,67.4,8.1
-Ethnicity (broad categories),Black,525,39.9,1316,33.5,6.4
-Ethnicity (broad categories),Mixed,462,43.4,1064,36.2,7.2
-Ethnicity (broad categories),Other,301,45.7,658,40.4,5.3
-Ethnicity (broad categories),South Asian,2023,44.1,4592,36.3,7.8
-Ethnicity (broad categories),Unknown,3689,56.1,6580,45.2,10.9
-Ethnicity (broad categories),White,41944,63.4,66150,53.9,9.5
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,56185,69.7,80619,62.1,7.6
+Sex,F,22190,72.8,30478,65.5,7.3
+Sex,M,33992,67.8,50141,60.0,7.8
+Age band,16-29,20244,61.5,32928,53.5,8.0
+Age band,30-34,7182,68.3,10514,60.2,8.1
+Age band,35-39,5523,72.8,7588,64.8,8.0
+Age band,40-44,4487,75.2,5964,67.3,7.9
+Age band,45-49,4676,77.0,6069,69.2,7.8
+Age band,50-54,5061,78.8,6426,72.2,6.6
+Age band,55-59,5103,79.7,6405,73.0,6.7
+Age band,60-64,3906,82.7,4725,76.7,6.0
+Ethnicity (broad categories),Black,588,44.4,1323,40.2,4.2
+Ethnicity (broad categories),Mixed,539,50.7,1064,44.7,6.0
+Ethnicity (broad categories),Other,343,51.6,665,45.3,6.3
+Ethnicity (broad categories),South Asian,2359,51.2,4606,45.3,5.9
+Ethnicity (broad categories),Unknown,4340,65.7,6601,56.9,8.8
+Ethnicity (broad categories),White,48020,72.4,66367,64.6,7.8
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 317b367..b9da6cd 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,78054,93.6,83377,93.2,0.4
-Sex,F,55776,94.1,59262,93.7,0.4
-Sex,M,22281,92.4,24115,91.8,0.6
-Age band,65-69,4067,87.5,4648,85.8,1.7
-Age band,70-74,6440,90.8,7091,89.9,0.9
-Age band,75-79,8939,92.7,9646,92.2,0.5
-Age band,80-84,13517,93.8,14406,93.5,0.3
-Age band,85-89,18305,94.5,19362,94.2,0.3
-Age band,90+,26782,94.9,28224,94.6,0.3
-Ethnicity (broad categories),Black,371,81.5,455,81.5,0.0
-Ethnicity (broad categories),Mixed,196,87.5,224,87.5,0.0
-Ethnicity (broad categories),Other,336,90.6,371,90.6,0.0
-Ethnicity (broad categories),South Asian,595,86.7,686,85.7,1.0
-Ethnicity (broad categories),Unknown,1988,90.4,2198,90.1,0.3
-Ethnicity (broad categories),White,74557,93.8,79450,93.4,0.4
-Dementia,no,35231,92.2,38220,91.5,0.7
-Dementia,yes,42826,94.8,45157,94.6,0.2
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,78537,94.1,83454,93.7,0.4
+Sex,F,56070,94.6,59290,94.2,0.4
+Sex,M,22470,93.0,24164,92.5,0.5
+Age band,65-69,4186,89.4,4683,87.9,1.5
+Age band,70-74,6503,91.3,7119,90.9,0.4
+Age band,75-79,9002,93.2,9660,92.8,0.4
+Age band,80-84,13608,94.4,14420,94.0,0.4
+Age band,85-89,18403,94.9,19383,94.6,0.3
+Age band,90+,26838,95.2,28189,94.9,0.3
+Ethnicity (broad categories),Black,378,81.8,462,81.8,0.0
+Ethnicity (broad categories),Mixed,203,90.6,224,87.5,3.1
+Ethnicity (broad categories),Other,343,92.5,371,90.6,1.9
+Ethnicity (broad categories),South Asian,602,88.7,679,87.6,1.1
+Ethnicity (broad categories),Unknown,2016,91.1,2212,90.5,0.6
+Ethnicity (broad categories),White,75005,94.3,79506,93.9,0.4
+Dementia,no,35476,92.8,38248,92.2,0.6
+Dementia,yes,43064,95.3,45206,94.9,0.4
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 e97b4a5..127e515 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 11 Mar (n),Vaccinated at 11 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
-overall,overall,657292,80.4,818013,76.9,3.5
-newly shielded since feb 15,no,439397,87.3,503118,86.3,1.0
-newly shielded since feb 15,yes,217896,69.2,314895,61.9,7.3
-Sex,F,364154,79.2,459683,75.5,3.7
-Sex,M,293125,81.8,358323,78.6,3.2
-Age band,16-29,45416,66.5,68292,62.4,4.1
-Age band,30-39,85295,67.8,125776,62.3,5.5
-Age band,40-49,125524,76.6,163919,71.7,4.9
-Age band,50-59,189406,84.1,225162,81.0,3.1
-Age band,60-69,211638,90.1,234857,88.6,1.5
-Ethnicity (broad categories),Black,24745,55.8,44366,51.3,4.5
-Ethnicity (broad categories),Mixed,9107,64.1,14210,59.5,4.6
-Ethnicity (broad categories),Other,11571,64.2,18032,59.2,5.0
-Ethnicity (broad categories),South Asian,72737,67.4,107996,61.6,5.8
-Ethnicity (broad categories),Unknown,25459,77.1,33012,72.4,4.7
-Ethnicity (broad categories),White,513660,85.6,600390,82.7,2.9
-Index of Multiple Deprivation (quintiles),1 Most deprived,177450,73.0,243131,68.6,4.4
-Index of Multiple Deprivation (quintiles),2,145726,78.6,185423,74.9,3.7
-Index of Multiple Deprivation (quintiles),3,129493,83.5,155036,80.4,3.1
-Index of Multiple Deprivation (quintiles),4,104944,86.7,121093,84.1,2.6
-Index of Multiple Deprivation (quintiles),5 Least deprived,84147,89.6,93912,87.3,2.3
-Index of Multiple Deprivation (quintiles),Unknown,15526,80.0,19411,76.2,3.8
-Learning disability,no,635026,80.3,791252,76.8,3.5
-Learning disability,yes,22260,83.2,26754,79.9,3.3
+Category,Group,Vaccinated at 18 Mar (n),Vaccinated at 18 Mar (%),Total eligible,Previous week's vaccination coverage (%),Vaccinated over last 7d (%)
+overall,overall,679213,82.9,819168,80.8,2.1
+newly shielded since feb 15,no,444535,88.4,502852,87.6,0.8
+newly shielded since feb 15,yes,234675,74.2,316316,69.9,4.3
+Sex,F,376978,81.9,460271,79.6,2.3
+Sex,M,302225,84.2,358883,82.2,2.0
+Age band,16-29,47740,69.8,68411,66.9,2.9
+Age band,30-39,90209,71.7,125853,68.4,3.3
+Age band,40-49,131215,80.0,164101,77.1,2.9
+Age band,50-59,194992,86.5,225519,84.5,2.0
+Age band,60-69,215054,91.4,235270,90.4,1.0
+Ethnicity (broad categories),Black,26502,59.8,44345,56.4,3.4
+Ethnicity (broad categories),Mixed,9597,67.6,14203,64.7,2.9
+Ethnicity (broad categories),Other,12229,67.8,18025,64.7,3.1
+Ethnicity (broad categories),South Asian,78036,72.3,107968,68.2,4.1
+Ethnicity (broad categories),Unknown,26467,80.3,32977,77.6,2.7
+Ethnicity (broad categories),White,526365,87.5,601636,85.8,1.7
+Index of Multiple Deprivation (quintiles),1 Most deprived,186039,76.5,243124,73.6,2.9
+Index of Multiple Deprivation (quintiles),2,151179,81.4,185633,79.1,2.3
+Index of Multiple Deprivation (quintiles),3,132797,85.5,155239,83.8,1.7
+Index of Multiple Deprivation (quintiles),4,107324,88.4,121387,86.9,1.5
+Index of Multiple Deprivation (quintiles),5 Least deprived,85757,91.0,94262,89.8,1.2
+Index of Multiple Deprivation (quintiles),Unknown,16107,82.6,19502,80.4,2.2
+Learning disability,no,656180,82.8,792393,80.7,2.1
+Learning disability,yes,23023,86.0,26761,83.7,2.3
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
new file mode 100644
index 0000000..cb98fdd
--- /dev/null
+++ b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 60s, not in other eligible groups shown population_tpp.csv	
@@ -0,0 +1,47 @@
+Category,Group,Vaccinated at 18 Mar (n),Previous week's vaccination figure (n),Vaccinated over last 7d (n),Increase in coverage over last 7d (%)
+overall,overall,3077645,2416328.0,661317.0,27.4
+Sex,F,1857653,1529969.0,327684.0,21.4
+Sex,M,1219932,886312.0,333620.0,37.6
+Age band,16-29,415982,367591.0,48391.0,13.2
+Age band,30-39,520856,459354.0,61502.0,13.4
+Age band,40-49,678125,590492.0,87633.0,14.8
+Age band,50-59,1462622,998851.0,463771.0,46.4
+Ethnicity (broad categories),Black,60613,51835.0,8778.0,16.9
+Ethnicity (broad categories),Mixed,34335,28833.0,5502.0,19.1
+Ethnicity (broad categories),Other,49539,40831.0,8708.0,21.3
+Ethnicity (broad categories),South Asian,204939,173726.0,31213.0,18.0
+Ethnicity (broad categories),Unknown,260197,193277.0,66920.0,34.6
+Ethnicity (broad categories),White,2467962,1927786.0,540176.0,28.0
+ethnicity 16 groups, African,36736,32389.0,4347.0,13.4
+ethnicity 16 groups, Bangladeshi or British Bangladeshi,13601,11214.0,2387.0,21.3
+ethnicity 16 groups, Caribbean,11417,9086.0,2331.0,25.7
+ethnicity 16 groups, Chinese,10346,8029.0,2317.0,28.9
+ethnicity 16 groups, Other,39200,32795.0,6405.0,19.5
+ethnicity 16 groups, Other Asian,49007,42413.0,6594.0,15.5
+ethnicity 16 groups,British or Mixed British,2281664,1778560.0,503104.0,28.3
+ethnicity 16 groups,Indian or British Indian,92512,78442.0,14070.0,17.9
+ethnicity 16 groups,Irish,14644,11676.0,2968.0,25.4
+ethnicity 16 groups,Other Black,12460,10360.0,2100.0,20.3
+ethnicity 16 groups,Other White,171612,137536.0,34076.0,24.8
+ethnicity 16 groups,Other mixed,11935,9919.0,2016.0,20.3
+ethnicity 16 groups,Pakistani or British Pakistani,49812,41650.0,8162.0,19.6
+ethnicity 16 groups,Unknown,260232,193298.0,66934.0,34.6
+ethnicity 16 groups,White + Asian,7966,6748.0,1218.0,18.0
+ethnicity 16 groups,White + Black African,6874,5922.0,952.0,16.1
+ethnicity 16 groups,White + Black Caribbean,7567,6251.0,1316.0,21.1
+Index of Multiple Deprivation (quintiles),1 Most deprived,545622,437997.0,107625.0,24.6
+Index of Multiple Deprivation (quintiles),2,583625,465136.0,118489.0,25.5
+Index of Multiple Deprivation (quintiles),3,650552,510538.0,140014.0,27.4
+Index of Multiple Deprivation (quintiles),4,628334,487655.0,140679.0,28.8
+Index of Multiple Deprivation (quintiles),5 Least deprived,590814,450926.0,139888.0,31.0
+Index of Multiple Deprivation (quintiles),Unknown,78638,64043.0,14595.0,22.8
+BMI,30+,811587,657881.0,153706.0,23.4
+BMI,under 30,2265998,1758407.0,507591.0,28.9
+Chronic cardiac disease,no,2943668,2301292.0,642376.0,27.9
+Chronic cardiac disease,yes,133917,114996.0,18921.0,16.5
+Current COPD,no,3032449,2377053.0,655396.0,27.6
+Current COPD,yes,45136,39235.0,5901.0,15.0
+DMARDs,no,3022943,2370249.0,652694.0,27.5
+DMARDs,yes,54642,46032.0,8610.0,18.7
+SSRI (last 12 months),no,2612694,2032268.0,580426.0,28.6
+SSRI (last 12 months),yes,464891,384020.0,80871.0,21.1
diff --git a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 65s, not in other eligible groups shown population_tpp.csv b/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 65s, not in other eligible groups shown population_tpp.csv
deleted file mode 100644
index a3942b7..0000000
--- a/released-outputs/machine_readable_outputs/table_csvs/Cumulative vaccination figures among under 65s, not in other eligible groups shown population_tpp.csv	
+++ /dev/null
@@ -1,48 +0,0 @@
-Category,Group,Vaccinated at 11 Mar (n),Previous week's vaccination figure (n),Vaccinated over last 7d (n),Increase in coverage over last 7d (%)
-overall,overall,3196959,2729600.0,467359.0,17.1
-Sex,F,1934212,1694644.0,239568.0,14.1
-Sex,M,1262702,1034915.0,227787.0,22.0
-Age band,16-29,361179,328860.0,32319.0,9.8
-Age band,30-39,451724,407008.0,44716.0,11.0
-Age band,40-49,581077,519141.0,61936.0,11.9
-Age band,50-59,962780,825776.0,137004.0,16.6
-Age band,60-69,840147,648781.0,191366.0,29.5
-Ethnicity (broad categories),Black,59108,52444.0,6664.0,12.7
-Ethnicity (broad categories),Mixed,32445,28581.0,3864.0,13.5
-Ethnicity (broad categories),Other,47740,41433.0,6307.0,15.2
-Ethnicity (broad categories),South Asian,203700,179914.0,23786.0,13.2
-Ethnicity (broad categories),Unknown,265258,222019.0,43239.0,19.5
-Ethnicity (broad categories),White,2588663,2205168.0,383495.0,17.4
-ethnicity 16 groups, African,35084,31822.0,3262.0,10.3
-ethnicity 16 groups, Bangladeshi or British Bangladeshi,12362,10710.0,1652.0,15.4
-ethnicity 16 groups, Caribbean,12145,10234.0,1911.0,18.7
-ethnicity 16 groups, Chinese,10080,8470.0,1610.0,19.0
-ethnicity 16 groups, Other,37674,32984.0,4690.0,14.2
-ethnicity 16 groups, Other Asian,48573,43666.0,4907.0,11.2
-ethnicity 16 groups,British or Mixed British,2403156,2045666.0,357490.0,17.5
-ethnicity 16 groups,Indian or British Indian,95298,84413.0,10885.0,12.9
-ethnicity 16 groups,Irish,15862,13622.0,2240.0,16.4
-ethnicity 16 groups,Other Black,11865,10381.0,1484.0,14.3
-ethnicity 16 groups,Other White,169617,145866.0,23751.0,16.3
-ethnicity 16 groups,Other mixed,11368,9975.0,1393.0,14.0
-ethnicity 16 groups,Pakistani or British Pakistani,47481,41139.0,6342.0,15.4
-ethnicity 16 groups,Unknown,265258,222012.0,43246.0,19.5
-ethnicity 16 groups,White + Asian,7504,6615.0,889.0,13.4
-ethnicity 16 groups,White + Black African,6531,5880.0,651.0,11.1
-ethnicity 16 groups,White + Black Caribbean,7056,6118.0,938.0,15.3
-Index of Multiple Deprivation (quintiles),1 Most deprived,541338,461755.0,79583.0,17.2
-Index of Multiple Deprivation (quintiles),2,599697,515956.0,83741.0,16.2
-Index of Multiple Deprivation (quintiles),3,683564,584682.0,98882.0,16.9
-Index of Multiple Deprivation (quintiles),4,665077,566937.0,98140.0,17.3
-Index of Multiple Deprivation (quintiles),5 Least deprived,627662,531489.0,96173.0,18.1
-Index of Multiple Deprivation (quintiles),Unknown,79576,68747.0,10829.0,15.8
-BMI,30+,870548,746431.0,124117.0,16.6
-BMI,under 30,2326366,1983128.0,343238.0,17.3
-Chronic cardiac disease,no,3008663,2566326.0,442337.0,17.2
-Chronic cardiac disease,yes,188251,163233.0,25018.0,15.3
-Current COPD,no,3130596,2671256.0,459340.0,17.2
-Current COPD,yes,66318,58303.0,8015.0,13.7
-DMARDs,no,3135118,2675883.0,459235.0,17.2
-DMARDs,yes,61796,53676.0,8120.0,15.1
-SSRI (last 12 months),no,2729769,2321046.0,408723.0,17.6
-SSRI (last 12 months),yes,467145,408513.0,58632.0,14.4
diff --git a/released-outputs/opensafely_vaccine_report_overall.html b/released-outputs/opensafely_vaccine_report_overall.html
index bc9809b..a0730da 100644
--- a/released-outputs/opensafely_vaccine_report_overall.html
+++ b/released-outputs/opensafely_vaccine_report_overall.html
@@ -1,6 +1,6 @@
 <!DOCTYPE html>
-<!-- saved from url=(0111)file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html -->
-<html><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
+<html>
+<head><meta charset="utf-8" />
 
 <title>opensafely_vaccine_report_overall</title>
 
@@ -13046,7 +13046,7 @@
 </style>
 
 <!-- Custom stylesheet, it must be in the same directory as the html file -->
-<link rel="stylesheet" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/custom.css">
+<link rel="stylesheet" href="custom.css">
 
 <!-- Loading mathjax macro -->
 <!-- Load mathjax -->
@@ -13077,7 +13077,7 @@
 <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
 </div><div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
-<h1 id="OpenSAFELY-COVID-Vaccine-coverage-report">OpenSAFELY COVID Vaccine coverage report<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#OpenSAFELY-COVID-Vaccine-coverage-report">¶</a></h1>
+<h1 id="OpenSAFELY-COVID-Vaccine-coverage-report">OpenSAFELY COVID Vaccine coverage report<a class="anchor-link" href="#OpenSAFELY-COVID-Vaccine-coverage-report">&#182;</a></h1>
 </div>
 </div>
 </div>
@@ -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-15-Mar-2021">Report last updated <strong>15 Mar 2021</strong><a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Report-last-updated-15-Mar-2021">¶</a></h3>
+<h3 id="Report-last-updated-23-Mar-2021">Report last updated <strong>23 Mar 2021</strong><a class="anchor-link" href="#Report-last-updated-23-Mar-2021">&#182;</a></h3>
 </div>
 
 </div>
@@ -13109,7 +13109,7 @@ <h3 id="Report-last-updated-15-Mar-2021">Report last updated <strong>15 Mar 2021
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h3 id="Vaccinations-included-up-to-11-Mar-2021-inclusive">Vaccinations included up to <strong>11 Mar 2021</strong> inclusive<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Vaccinations-included-up-to-11-Mar-2021-inclusive">¶</a></h3>
+<h3 id="Vaccinations-included-up-to-18-Mar-2021-inclusive">Vaccinations included up to <strong>18 Mar 2021</strong> inclusive<a class="anchor-link" href="#Vaccinations-included-up-to-18-Mar-2021-inclusive">&#182;</a></h3>
 </div>
 
 </div>
@@ -13121,21 +13121,22 @@ <h3 id="Vaccinations-included-up-to-11-Mar-2021-inclusive">Vaccinations included
 <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
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-<h4 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h4><h2 id="Contents:">Contents:<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Contents:">¶</a></h2><ul>
-<li><strong><a href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#summary">Overview</a></strong></li>
-<li><strong><a href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#summarychart">Summary Chart</a></strong></li>
+<h4 id="-"> <a class="anchor-link" href="#-">&#182;</a></h4><h2 id="Contents:">Contents:<a class="anchor-link" href="#Contents:">&#182;</a></h2><ul>
+<li><strong><a href=#summary>Overview</a></strong></li>
+<li><strong><a href=#summarychart>Summary Chart</a></strong></li>
 <li><strong>Trends in vaccination coverage</strong> according to demographic/clinical features, for:<ul>
-<li><a href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#charts80">80+ population</a></li>
-<li><a href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#charts70">70-79 population</a></li>
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-<li>Appendix: <a href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#ethnicity">Proportion of each population group for whom ethnicity is known</a></li>
+<li>Appendix: <a href=#ethnicity>Proportion of each population group for whom ethnicity is known</a></li>
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+      <!-- 18 Mar -->
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+     <!-- Date vaccinated -->
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@@ -31281,8 +32208,7 @@ <h1 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
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-
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-      <th></th>
-      <th></th>
-      <th>Vaccinated at 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</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>1072468</td>
-      <td>94.7</td>
-      <td>1133020</td>
-      <td>94.4</td>
-      <td>0.3</td>
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-    <tr>
-      <th rowspan="2" valign="top">Sex</th>
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-      <td>620690</td>
-      <td>94.5</td>
-      <td>656537</td>
-      <td>94.3</td>
-      <td>0.2</td>
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-    <tr>
-      <th>M</th>
-      <td>451773</td>
-      <td>94.8</td>
-      <td>476476</td>
-      <td>94.6</td>
-      <td>0.2</td>
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-      <th rowspan="3" valign="top">Age band</th>
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-      <td>94.7</td>
-      <td>354116</td>
-      <td>94.5</td>
-      <td>0.2</td>
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-      <td>11158</td>
-      <td>70.3</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
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-      <td>2625</td>
-      <td>80.1</td>
-      <td>3276</td>
-      <td>79.7</td>
-      <td>0.4</td>
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-      <th>Other</th>
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-      <td>80.5</td>
-      <td>6818</td>
-      <td>80.1</td>
-      <td>0.4</td>
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-      <td>0.6</td>
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-    <tr>
-      <th>Unknown</th>
-      <td>55909</td>
-      <td>84.9</td>
-      <td>65863</td>
-      <td>84.6</td>
-      <td>0.3</td>
-    </tr>
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-      <th>White</th>
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-      <td>1017149</td>
-      <td>95.8</td>
-      <td>0.2</td>
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-    <tr>
-      <th rowspan="17" valign="top">ethnicity 16 groups</th>
-      <th>African</th>
-      <td>1316</td>
-      <td>62.0</td>
-      <td>2121</td>
-      <td>60.7</td>
-      <td>1.3</td>
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-      <td>1022</td>
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-      <td>1.0</td>
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-      <th>Caribbean</th>
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-      <td>7679</td>
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-      <td>0.9</td>
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-      <th>Chinese</th>
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-      <td>0.4</td>
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-      <td>0.6</td>
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-      <td>0.6</td>
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-      <td>963459</td>
-      <td>96.1</td>
-      <td>0.2</td>
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-      <td>15127</td>
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-      <td>0.4</td>
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-      <td>9765</td>
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-      <td>0.3</td>
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-      <th>Other Black</th>
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-      <td>69.4</td>
-      <td>1351</td>
-      <td>68.4</td>
-      <td>1.0</td>
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-      <th>Other White</th>
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-      <td>90.2</td>
-      <td>43883</td>
-      <td>89.7</td>
-      <td>0.5</td>
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-      <td>1148</td>
-      <td>84.8</td>
-      <td>0.6</td>
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-      <td>7847</td>
-      <td>74.2</td>
-      <td>1.3</td>
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-    <tr>
-      <th>Unknown</th>
-      <td>55937</td>
-      <td>84.9</td>
-      <td>65891</td>
-      <td>84.6</td>
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+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
+       <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">
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+     </g>
+     <g id="text_4">
+      <!-- 05 Feb -->
+      <defs>
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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"/>
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+      <g transform="translate(219.557169 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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>
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+    <g id="xtick_5">
+     <g id="line2d_5">
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+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 25 Feb -->
+      <g transform="translate(279.827196 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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="357.171442" xlink:href="#m4e250b5372" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 17 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"/>
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+      <g transform="translate(339.786286 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
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+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
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+      <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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+   <g id="matplotlib.axis_2">
+    <g id="ytick_1">
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+      <defs>
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+      <!-- 0 -->
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+    <g id="ytick_2">
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+     <g id="text_9">
+      <!-- 20 -->
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
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+      <g transform="translate(20.878125 126.991284)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    <g id="ytick_4">
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+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 80.994273)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="ytick_5">
+     <g id="line2d_11">
+      <g>
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+      <g transform="translate(20.878125 34.997262)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-56"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+      <!-- 01 Dec -->
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+      <!-- 27 Dec -->
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+      <!-- 16 Jan -->
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+      <!-- 05 Feb -->
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+      <!-- 25 Feb -->
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+</div>
+
+<div class="output_area">
+
+
+<div class="output_markdown rendered_html output_subarea ">
+<h3 id="COVID-vaccinations-among-60-64-population">COVID vaccinations among 60-64 population<a class="anchor-link" href="#COVID-vaccinations-among-60-64-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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+      <!-- 16 Jan -->
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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"/>
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+      <g transform="translate(160.701986 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-54"/>
+       <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="236.631388" xlink:href="#mea782720d5" y="224.64"/>
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+     </g>
+     <g id="text_4">
+      <!-- 05 Feb -->
+      <defs>
+       <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"/>
+       <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"/>
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+      <g transform="translate(219.557169 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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_5">
+     <g id="line2d_5">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="296.901415" xlink:href="#mea782720d5" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 25 Feb -->
+      <g transform="translate(279.827196 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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="357.171442" xlink:href="#mea782720d5" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 17 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(339.786286 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-77"/>
+       <use x="245.3125" xlink:href="#DejaVuSans-97"/>
+       <use x="306.591797" xlink:href="#DejaVuSans-114"/>
+      </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"/>
+      <path d="M 45.40625 46.390625  L 45.40625 75.984375  L 54.390625 75.984375  L 54.390625 0  L 45.40625 0  L 45.40625 8.203125  Q 42.578125 3.328125 38.25 0.953125  Q 33.9375 -1.421875 27.875 -1.421875  Q 17.96875 -1.421875 11.734375 6.484375  Q 5.515625 14.40625 5.515625 27.296875  Q 5.515625 40.1875 11.734375 48.09375  Q 17.96875 56 27.875 56  Q 33.9375 56 38.25 53.625  Q 42.578125 51.265625 45.40625 46.390625  z M 14.796875 27.296875  Q 14.796875 17.390625 18.875 11.75  Q 22.953125 6.109375 30.078125 6.109375  Q 37.203125 6.109375 41.296875 11.75  Q 45.40625 17.390625 45.40625 27.296875  Q 45.40625 37.203125 41.296875 42.84375  Q 37.203125 48.484375 30.078125 48.484375  Q 22.953125 48.484375 18.875 42.84375  Q 14.796875 37.203125 14.796875 27.296875  z " id="DejaVuSans-100"/>
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+     <g transform="translate(167.108594 252.916562)scale(0.1 -0.1)">
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+      <use x="653.662109" xlink:href="#DejaVuSans-116"/>
+      <use x="692.871094" xlink:href="#DejaVuSans-101"/>
+      <use x="754.394531" xlink:href="#DejaVuSans-100"/>
+     </g>
+    </g>
+   </g>
+   <g id="matplotlib.axis_2">
+    <g id="ytick_1">
+     <g id="line2d_7">
+      <defs>
+       <path d="M 0 0  L -3.5 0  " id="mc548571b1e" style="stroke:#000000;stroke-width:0.8;"/>
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+      <g>
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+     </g>
+     <g id="text_8">
+      <!-- 0 -->
+      <g transform="translate(27.240625 218.985306)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+      </g>
+     </g>
+    </g>
+    <g id="ytick_2">
+     <g id="line2d_8">
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+     </g>
+     <g id="text_9">
+      <!-- 20 -->
+      <g transform="translate(20.878125 174.637522)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_9">
+      <g>
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+      </g>
+     </g>
+     <g id="text_10">
+      <!-- 40 -->
+      <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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+      <g transform="translate(20.878125 130.289739)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">
+     <g id="line2d_10">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="40.603125" xlink:href="#mc548571b1e" y="82.142736"/>
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+     </g>
+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 85.941955)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_11">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="40.603125" xlink:href="#mc548571b1e" y="37.794953"/>
+      </g>
+     </g>
+     <g id="text_12">
+      <!-- 80 -->
+      <defs>
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+      <g transform="translate(20.878125 41.594172)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) -->
+     <defs>
+      <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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+    <g id="xtick_5">
+     <g id="line2d_5">
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+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 25 Feb -->
+      <g transform="translate(279.827196 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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_6">
+     <g id="line2d_6">
+      <g>
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+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 17 Mar -->
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+      <g transform="translate(339.786286 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
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+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
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+   <g id="matplotlib.axis_2">
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+      <!-- 0 -->
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+     </g>
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+    <g id="ytick_2">
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+     <g id="text_9">
+      <!-- 20 -->
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+    <g id="ytick_3">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
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+      <g transform="translate(20.878125 132.567167)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
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+     <g id="text_11">
+      <!-- 60 -->
+      <g transform="translate(20.878125 89.358098)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="ytick_5">
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+       <use x="63.623047" xlink:href="#DejaVuSans-49"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
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+       <use x="297.558594" xlink:href="#DejaVuSans-99"/>
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+     </g>
+     <g id="text_2">
+      <!-- 27 Dec -->
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+      <g transform="translate(98.46399 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
+       <use x="127.246094" xlink:href="#DejaVuSans-32"/>
+       <use x="159.033203" xlink:href="#DejaVuSans-68"/>
+       <use x="236.035156" xlink:href="#DejaVuSans-101"/>
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+     </g>
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+    <g id="xtick_3">
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+      <!-- 16 Jan -->
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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"/>
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+     </g>
+     <g id="text_4">
+      <!-- 05 Feb -->
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+      <!-- 25 Feb -->
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+      <!-- 17 Mar -->
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+     <!-- Date vaccinated -->
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+     </g>
+     <g id="text_4">
+      <!-- 05 Feb -->
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+      <g transform="translate(219.557169 239.238438)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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">
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+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 25 Feb -->
+      <g transform="translate(279.827196 239.238438)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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="357.171442" xlink:href="#mdfc685d0e4" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 17 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"/>
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+      <g transform="translate(339.786286 239.238438)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
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+       <use x="159.033203" xlink:href="#DejaVuSans-77"/>
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+       <use x="306.591797" xlink:href="#DejaVuSans-114"/>
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+     </g>
+    </g>
+    <g id="text_7">
+     <!-- Date vaccinated -->
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+      <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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+   <g id="matplotlib.axis_2">
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+      <!-- 0 -->
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+    <g id="ytick_2">
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+      <!-- 20 -->
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+    <g id="ytick_3">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
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+      <g transform="translate(20.878125 129.054689)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-52"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    <g id="ytick_4">
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+     <g id="text_11">
+      <!-- 60 -->
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+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="ytick_5">
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
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+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+       <use x="63.623047" xlink:href="#DejaVuSans-49"/>
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+     <g id="text_2">
+      <!-- 27 Dec -->
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+      <g transform="translate(98.46399 239.238437)scale(0.1 -0.1)">
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+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
+       <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>
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+    <g id="xtick_3">
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+      <!-- 16 Jan -->
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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"/>
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+    <g id="xtick_4">
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+     </g>
+     <g id="text_4">
+      <!-- 05 Feb -->
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+      <!-- 25 Feb -->
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+      <!-- 17 Mar -->
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+     <!-- Date vaccinated -->
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+     <g id="text_4">
+      <!-- 05 Feb -->
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+      <g transform="translate(219.557169 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-48"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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">
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+      </g>
+     </g>
+     <g id="text_5">
+      <!-- 25 Feb -->
+      <g transform="translate(279.827196 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-50"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-53"/>
+       <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_6">
+     <g id="line2d_6">
+      <g>
+       <use style="stroke:#000000;stroke-width:0.8;" x="357.171442" xlink:href="#m9c551b6fbe" y="224.64"/>
+      </g>
+     </g>
+     <g id="text_6">
+      <!-- 17 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"/>
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+      <g transform="translate(339.786286 239.238437)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-49"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-55"/>
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+     </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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+   <g id="matplotlib.axis_2">
+    <g id="ytick_1">
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+      <!-- 0 -->
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+     </g>
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+    <g id="ytick_2">
+     <g id="line2d_8">
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+     <g id="text_9">
+      <!-- 20 -->
+      <g transform="translate(20.878125 174.035644)scale(0.1 -0.1)">
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+    <g id="ytick_3">
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+     </g>
+     <g id="text_10">
+      <!-- 40 -->
+      <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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+      <g transform="translate(20.878125 129.085982)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 84.13632)scale(0.1 -0.1)">
+       <use xlink:href="#DejaVuSans-54"/>
+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+     </g>
+    </g>
+    <g id="ytick_5">
+     <g id="line2d_11">
+      <g>
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+     </g>
+     <g id="text_12">
+      <!-- 80 -->
+      <defs>
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+       <use x="63.623047" xlink:href="#DejaVuSans-48"/>
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+    </g>
+    <g id="text_13">
+     <!-- Percent vaccinated (cumulative) -->
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+      <th></th>
+      <th></th>
+      <th>Vaccinated at 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</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>1073825</td>
+      <td>95.0</td>
+      <td>1130682</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>621621</td>
+      <td>94.9</td>
+      <td>655270</td>
+      <td>94.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>M</th>
+      <td>452193</td>
+      <td>95.1</td>
+      <td>475405</td>
+      <td>95.0</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="3" valign="top">Age band</th>
+      <th>80-84</th>
+      <td>563843</td>
+      <td>95.3</td>
+      <td>591500</td>
+      <td>95.2</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>85-89</th>
+      <td>335979</td>
+      <td>95.1</td>
+      <td>353346</td>
+      <td>94.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>90+</th>
+      <td>173999</td>
+      <td>93.6</td>
+      <td>185822</td>
+      <td>93.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>8050</td>
+      <td>72.3</td>
+      <td>11130</td>
+      <td>71.6</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Mixed</th>
+      <td>2646</td>
+      <td>80.9</td>
+      <td>3269</td>
+      <td>80.3</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>5509</td>
+      <td>81.1</td>
+      <td>6790</td>
+      <td>80.7</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>South Asian</th>
+      <td>24192</td>
+      <td>84.4</td>
+      <td>28651</td>
+      <td>83.9</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>56070</td>
+      <td>85.3</td>
+      <td>65695</td>
+      <td>85.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>White</th>
+      <td>977361</td>
+      <td>96.3</td>
+      <td>1015140</td>
+      <td>96.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="17" valign="top">ethnicity 16 groups</th>
+      <th>African</th>
+      <td>1337</td>
+      <td>63.2</td>
+      <td>2114</td>
+      <td>62.6</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Bangladeshi or British Bangladeshi</th>
+      <td>1036</td>
+      <td>78.3</td>
+      <td>1323</td>
+      <td>77.2</td>
+      <td>1.1</td>
+    </tr>
+    <tr>
+      <th>Caribbean</th>
+      <td>5775</td>
+      <td>75.3</td>
+      <td>7665</td>
+      <td>74.5</td>
+      <td>0.8</td>
+    </tr>
+    <tr>
+      <th>Chinese</th>
+      <td>1337</td>
+      <td>78.3</td>
+      <td>1708</td>
+      <td>78.3</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>4165</td>
+      <td>82.0</td>
+      <td>5082</td>
+      <td>81.7</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other Asian</th>
+      <td>3605</td>
+      <td>81.4</td>
+      <td>4431</td>
+      <td>81.0</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>British or Mixed British</th>
+      <td>928578</td>
+      <td>96.6</td>
+      <td>961604</td>
+      <td>96.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Indian or British Indian</th>
+      <td>13545</td>
+      <td>89.8</td>
+      <td>15085</td>
+      <td>89.5</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Irish</th>
+      <td>9128</td>
+      <td>93.7</td>
+      <td>9737</td>
+      <td>93.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Other Black</th>
+      <td>938</td>
+      <td>69.4</td>
+      <td>1351</td>
+      <td>69.4</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Other White</th>
+      <td>39613</td>
+      <td>90.5</td>
+      <td>43750</td>
+      <td>90.4</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>Other mixed</th>
+      <td>973</td>
+      <td>84.8</td>
+      <td>1148</td>
+      <td>84.8</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Pakistani or British Pakistani</th>
+      <td>6013</td>
+      <td>76.9</td>
+      <td>7819</td>
+      <td>75.8</td>
+      <td>1.1</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>56105</td>
+      <td>85.4</td>
+      <td>65723</td>
+      <td>85.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>White + Asian</th>
+      <td>469</td>
+      <td>85.9</td>
+      <td>546</td>
+      <td>85.9</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>White + Black African</th>
+      <td>252</td>
+      <td>67.9</td>
+      <td>371</td>
+      <td>67.9</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>White + Black Caribbean</th>
+      <td>952</td>
+      <td>78.2</td>
+      <td>1218</td>
+      <td>77.0</td>
+      <td>1.2</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>134064</td>
+      <td>91.3</td>
+      <td>146860</td>
+      <td>91.0</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>177457</td>
+      <td>93.6</td>
+      <td>189581</td>
+      <td>93.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>240394</td>
+      <td>95.4</td>
+      <td>252077</td>
+      <td>95.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>250173</td>
+      <td>96.0</td>
+      <td>260575</td>
+      <td>95.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>5 Least deprived</th>
+      <td>252889</td>
+      <td>96.7</td>
+      <td>261639</td>
+      <td>96.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>18844</td>
+      <td>94.5</td>
+      <td>19936</td>
+      <td>94.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>189189</td>
+      <td>96.2</td>
+      <td>196630</td>
+      <td>96.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>under 30</th>
+      <td>884632</td>
+      <td>94.7</td>
+      <td>934045</td>
+      <td>94.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
+      <th>no</th>
+      <td>749406</td>
+      <td>94.5</td>
+      <td>793100</td>
+      <td>94.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>324415</td>
+      <td>96.1</td>
+      <td>337575</td>
+      <td>95.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Current COPD</th>
+      <th>no</th>
+      <td>960225</td>
+      <td>94.8</td>
+      <td>1012417</td>
+      <td>94.7</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>113589</td>
+      <td>96.1</td>
+      <td>118258</td>
+      <td>95.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dialysis</th>
+      <th>no</th>
+      <td>1071826</td>
+      <td>95.0</td>
+      <td>1128582</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>1995</td>
+      <td>95.3</td>
+      <td>2093</td>
+      <td>95.3</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>1040046</td>
+      <td>94.9</td>
+      <td>1095829</td>
+      <td>94.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>33775</td>
+      <td>96.9</td>
+      <td>34846</td>
+      <td>96.8</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>984711</td>
+      <td>95.0</td>
+      <td>1036490</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>89103</td>
+      <td>94.6</td>
+      <td>94185</td>
+      <td>94.3</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>1065904</td>
+      <td>95.0</td>
+      <td>1121939</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>7910</td>
+      <td>90.5</td>
+      <td>8736</td>
+      <td>90.1</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Learning disability</th>
+      <th>no</th>
+      <td>1073303</td>
+      <td>95.0</td>
+      <td>1130115</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>511</td>
+      <td>91.2</td>
+      <td>560</td>
+      <td>91.2</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>1006971</td>
+      <td>94.9</td>
+      <td>1061522</td>
+      <td>94.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>66850</td>
+      <td>96.7</td>
+      <td>69153</td>
+      <td>96.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>1037071</td>
+      <td>94.9</td>
+      <td>1092651</td>
+      <td>94.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>36750</td>
+      <td>96.6</td>
+      <td>38024</td>
+      <td>96.5</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>1066485</td>
+      <td>95.0</td>
+      <td>1123024</td>
+      <td>94.8</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>7336</td>
+      <td>95.9</td>
+      <td>7651</td>
+      <td>95.7</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th>no</th>
+      <td>878752</td>
+      <td>94.6</td>
+      <td>928816</td>
+      <td>94.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>195069</td>
+      <td>96.6</td>
+      <td>201859</td>
+      <td>96.5</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>1053787</td>
+      <td>94.9</td>
+      <td>1109941</td>
+      <td>94.8</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>20027</td>
+      <td>96.6</td>
+      <td>20734</td>
+      <td>96.5</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-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 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</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>1954509</td>
+      <td>94.4</td>
+      <td>2069893</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>1026326</td>
+      <td>94.6</td>
+      <td>1084832</td>
+      <td>94.4</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>M</th>
+      <td>928179</td>
+      <td>94.2</td>
+      <td>985054</td>
+      <td>94.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Age band</th>
+      <th>70-74</th>
+      <td>1129254</td>
+      <td>94.0</td>
+      <td>1201522</td>
+      <td>93.7</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>75-79</th>
+      <td>825244</td>
+      <td>95.0</td>
+      <td>868357</td>
+      <td>94.9</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>10136</td>
+      <td>69.0</td>
+      <td>14700</td>
+      <td>68.1</td>
+      <td>0.9</td>
+    </tr>
+    <tr>
+      <th>Mixed</th>
+      <td>5152</td>
+      <td>80.2</td>
+      <td>6426</td>
+      <td>79.5</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>11907</td>
+      <td>78.0</td>
+      <td>15267</td>
+      <td>77.4</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>South Asian</th>
+      <td>46578</td>
+      <td>84.7</td>
+      <td>54985</td>
+      <td>84.0</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>130123</td>
+      <td>87.2</td>
+      <td>149149</td>
+      <td>87.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>White</th>
+      <td>1750602</td>
+      <td>95.7</td>
+      <td>1829352</td>
+      <td>95.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="17" valign="top">ethnicity 16 groups</th>
+      <th>African</th>
+      <td>3318</td>
+      <td>62.9</td>
+      <td>5271</td>
+      <td>62.0</td>
+      <td>0.9</td>
+    </tr>
+    <tr>
+      <th>Bangladeshi or British Bangladeshi</th>
+      <td>1512</td>
+      <td>83.4</td>
+      <td>1813</td>
+      <td>82.2</td>
+      <td>1.2</td>
+    </tr>
+    <tr>
+      <th>Caribbean</th>
+      <td>5075</td>
+      <td>72.8</td>
+      <td>6972</td>
+      <td>72.0</td>
+      <td>0.8</td>
+    </tr>
+    <tr>
+      <th>Chinese</th>
+      <td>3150</td>
+      <td>77.3</td>
+      <td>4074</td>
+      <td>77.0</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>8757</td>
+      <td>78.2</td>
+      <td>11200</td>
+      <td>77.6</td>
+      <td>0.6</td>
+    </tr>
+    <tr>
+      <th>Other Asian</th>
+      <td>9149</td>
+      <td>81.9</td>
+      <td>11172</td>
+      <td>81.5</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>British or Mixed British</th>
+      <td>1664733</td>
+      <td>96.2</td>
+      <td>1730918</td>
+      <td>96.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Indian or British Indian</th>
+      <td>26978</td>
+      <td>88.9</td>
+      <td>30345</td>
+      <td>88.5</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>Irish</th>
+      <td>14028</td>
+      <td>92.3</td>
+      <td>15197</td>
+      <td>92.0</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other Black</th>
+      <td>1743</td>
+      <td>70.9</td>
+      <td>2457</td>
+      <td>70.4</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>Other White</th>
+      <td>71827</td>
+      <td>86.3</td>
+      <td>83223</td>
+      <td>86.0</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>Other mixed</th>
+      <td>2044</td>
+      <td>81.3</td>
+      <td>2513</td>
+      <td>81.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>Pakistani or British Pakistani</th>
+      <td>8939</td>
+      <td>76.7</td>
+      <td>11655</td>
+      <td>75.1</td>
+      <td>1.6</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>130144</td>
+      <td>87.2</td>
+      <td>149177</td>
+      <td>87.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>White + Asian</th>
+      <td>1176</td>
+      <td>86.6</td>
+      <td>1358</td>
+      <td>86.1</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th>White + Black African</th>
+      <td>784</td>
+      <td>73.2</td>
+      <td>1071</td>
+      <td>72.5</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th>White + Black Caribbean</th>
+      <td>1141</td>
+      <td>77.3</td>
+      <td>1477</td>
+      <td>76.3</td>
+      <td>1.0</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>249025</td>
+      <td>91.0</td>
+      <td>273721</td>
+      <td>90.6</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>327341</td>
+      <td>93.1</td>
+      <td>351638</td>
+      <td>92.8</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>436261</td>
+      <td>94.7</td>
+      <td>460579</td>
+      <td>94.5</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>454559</td>
+      <td>95.4</td>
+      <td>476336</td>
+      <td>95.3</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>5 Least deprived</th>
+      <td>451689</td>
+      <td>96.2</td>
+      <td>469518</td>
+      <td>96.1</td>
+      <td>0.1</td>
+    </tr>
+    <tr>
+      <th>Unknown</th>
+      <td>35623</td>
+      <td>93.5</td>
+      <td>38094</td>
+      <td>93.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">BMI</th>
+      <th>30+</th>
+      <td>490441</td>
+      <td>95.9</td>
+      <td>511665</td>
+      <td>95.6</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th>under 30</th>
+      <td>1464064</td>
+      <td>94.0</td>
+      <td>1558221</td>
+      <td>93.7</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Chronic cardiac disease</th>
+      <th>no</th>
+      <td>1600788</td>
+      <td>94.2</td>
+      <td>1699649</td>
+      <td>94.0</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>353717</td>
+      <td>95.5</td>
+      <td>370237</td>
+      <td>95.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Current COPD</th>
+      <th>no</th>
+      <td>1766604</td>
+      <td>94.3</td>
+      <td>1873214</td>
+      <td>94.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>187901</td>
+      <td>95.5</td>
+      <td>196665</td>
+      <td>95.2</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dialysis</th>
+      <th>no</th>
+      <td>1950648</td>
+      <td>94.4</td>
+      <td>2065805</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>3857</td>
+      <td>94.5</td>
+      <td>4081</td>
+      <td>94.2</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">DMARDs</th>
+      <th>no</th>
+      <td>1884918</td>
+      <td>94.3</td>
+      <td>1997800</td>
+      <td>94.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>69587</td>
+      <td>96.5</td>
+      <td>72086</td>
+      <td>96.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>1913646</td>
+      <td>94.4</td>
+      <td>2026514</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>40859</td>
+      <td>94.2</td>
+      <td>43372</td>
+      <td>93.9</td>
+      <td>0.3</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th>no</th>
+      <td>1936228</td>
+      <td>94.5</td>
+      <td>2049334</td>
+      <td>94.3</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>18277</td>
+      <td>89.0</td>
+      <td>20545</td>
+      <td>88.3</td>
+      <td>0.7</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Learning disability</th>
+      <th>no</th>
+      <td>1951719</td>
+      <td>94.4</td>
+      <td>2066799</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>2786</td>
+      <td>90.2</td>
+      <td>3087</td>
+      <td>89.1</td>
+      <td>1.1</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
+      <th>no</th>
+      <td>1805342</td>
+      <td>94.3</td>
+      <td>1915081</td>
+      <td>94.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>149163</td>
+      <td>96.4</td>
+      <td>154798</td>
+      <td>96.1</td>
       <td>0.3</td>
     </tr>
     <tr>
-      <th>White + Asian</th>
-      <td>469</td>
-      <td>85.9</td>
-      <td>546</td>
-      <td>85.9</td>
-      <td>0.0</td>
+      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
+      <th>no</th>
+      <td>1887669</td>
+      <td>94.4</td>
+      <td>2000544</td>
+      <td>94.1</td>
+      <td>0.3</td>
     </tr>
     <tr>
-      <th>White + Black African</th>
-      <td>252</td>
-      <td>67.9</td>
-      <td>371</td>
-      <td>67.9</td>
-      <td>0.0</td>
+      <th>yes</th>
+      <td>66836</td>
+      <td>96.4</td>
+      <td>69342</td>
+      <td>96.2</td>
+      <td>0.2</td>
     </tr>
     <tr>
-      <th>White + Black Caribbean</th>
-      <td>938</td>
-      <td>77.0</td>
-      <td>1218</td>
-      <td>76.4</td>
-      <td>0.6</td>
+      <th rowspan="2" valign="top">Cancer (lung)</th>
+      <th>no</th>
+      <td>1942465</td>
+      <td>94.4</td>
+      <td>2057223</td>
+      <td>94.2</td>
+      <td>0.2</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
-      <th>1 Most deprived</th>
-      <td>133700</td>
-      <td>90.7</td>
-      <td>147343</td>
-      <td>90.4</td>
+      <th>yes</th>
+      <td>12040</td>
+      <td>95.1</td>
+      <td>12663</td>
+      <td>94.7</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
+      <th>no</th>
+      <td>1679293</td>
+      <td>94.1</td>
+      <td>1784181</td>
+      <td>93.9</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>275212</td>
+      <td>96.3</td>
+      <td>285705</td>
+      <td>96.1</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th>no</th>
+      <td>1925329</td>
+      <td>94.4</td>
+      <td>2039513</td>
+      <td>94.2</td>
+      <td>0.2</td>
+    </tr>
+    <tr>
+      <th>yes</th>
+      <td>29176</td>
+      <td>96.1</td>
+      <td>30373</td>
+      <td>95.8</td>
       <td>0.3</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 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</th>
+      <th>Total eligible</th>
+      <th>Previous week's vaccination coverage (%)</th>
+      <th>Vaccinated over last 7d (%)</th>
+    </tr>
     <tr>
-      <th>2</th>
-      <td>177128</td>
+      <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>78537</td>
+      <td>94.1</td>
+      <td>83454</td>
+      <td>93.7</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>56070</td>
+      <td>94.6</td>
+      <td>59290</td>
+      <td>94.2</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>M</th>
+      <td>22470</td>
+      <td>93.0</td>
+      <td>24164</td>
+      <td>92.5</td>
+      <td>0.5</td>
+    </tr>
+    <tr>
+      <th rowspan="6" valign="top">Age band</th>
+      <th>65-69</th>
+      <td>4186</td>
+      <td>89.4</td>
+      <td>4683</td>
+      <td>87.9</td>
+      <td>1.5</td>
+    </tr>
+    <tr>
+      <th>70-74</th>
+      <td>6503</td>
+      <td>91.3</td>
+      <td>7119</td>
+      <td>90.9</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>75-79</th>
+      <td>9002</td>
       <td>93.2</td>
-      <td>190001</td>
-      <td>92.9</td>
+      <td>9660</td>
+      <td>92.8</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>80-84</th>
+      <td>13608</td>
+      <td>94.4</td>
+      <td>14420</td>
+      <td>94.0</td>
+      <td>0.4</td>
+    </tr>
+    <tr>
+      <th>85-89</th>
+      <td>18403</td>
+      <td>94.9</td>
+      <td>19383</td>
+      <td>94.6</td>
       <td>0.3</td>
     </tr>
     <tr>
-      <th>3</th>
-      <td>240275</td>
-      <td>95.1</td>
-      <td>252742</td>
-      <td>94.8</td>
+      <th>90+</th>
+      <td>26838</td>
+      <td>95.2</td>
+      <td>28189</td>
+      <td>94.9</td>
       <td>0.3</td>
     </tr>
     <tr>
-      <th>4</th>
-      <td>249851</td>
-      <td>95.8</td>
-      <td>260890</td>
-      <td>95.6</td>
-      <td>0.2</td>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>378</td>
+      <td>81.8</td>
+      <td>462</td>
+      <td>81.8</td>
+      <td>0.0</td>
+    </tr>
+    <tr>
+      <th>Mixed</th>
+      <td>203</td>
+      <td>90.6</td>
+      <td>224</td>
+      <td>87.5</td>
+      <td>3.1</td>
+    </tr>
+    <tr>
+      <th>Other</th>
+      <td>343</td>
+      <td>92.5</td>
+      <td>371</td>
+      <td>90.6</td>
+      <td>1.9</td>
+    </tr>
+    <tr>
+      <th>South Asian</th>
+      <td>602</td>
+      <td>88.7</td>
+      <td>679</td>
+      <td>87.6</td>
+      <td>1.1</td>
     </tr>
     <tr>
-      <th>5 Least deprived</th>
-      <td>252707</td>
-      <td>96.4</td>
-      <td>262066</td>
-      <td>96.2</td>
-      <td>0.2</td>
+      <th>Unknown</th>
+      <td>2016</td>
+      <td>91.1</td>
+      <td>2212</td>
+      <td>90.5</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>18802</td>
-      <td>94.1</td>
-      <td>19971</td>
+      <th>White</th>
+      <td>75005</td>
+      <td>94.3</td>
+      <td>79506</td>
       <td>93.9</td>
-      <td>0.2</td>
+      <td>0.4</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">BMI</th>
-      <th>30+</th>
-      <td>188986</td>
-      <td>95.9</td>
-      <td>197015</td>
-      <td>95.7</td>
-      <td>0.2</td>
+      <th rowspan="2" valign="top">Dementia</th>
+      <th>no</th>
+      <td>35476</td>
+      <td>92.8</td>
+      <td>38248</td>
+      <td>92.2</td>
+      <td>0.6</td>
     </tr>
     <tr>
-      <th>under 30</th>
-      <td>883477</td>
-      <td>94.4</td>
-      <td>935998</td>
-      <td>94.1</td>
-      <td>0.3</td>
+      <th>yes</th>
+      <td>43064</td>
+      <td>95.3</td>
+      <td>45206</td>
+      <td>94.9</td>
+      <td>0.4</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 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 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</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>748559</td>
-      <td>94.2</td>
-      <td>794801</td>
-      <td>93.9</td>
-      <td>0.3</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>323904</td>
-      <td>95.8</td>
-      <td>338219</td>
-      <td>95.5</td>
-      <td>0.3</td>
+      <th>overall</th>
+      <th>overall</th>
+      <td>679213</td>
+      <td>82.9</td>
+      <td>819168</td>
+      <td>80.8</td>
+      <td>2.1</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Current COPD</th>
+      <th rowspan="2" valign="top">newly shielded since feb 15</th>
       <th>no</th>
-      <td>959000</td>
-      <td>94.5</td>
-      <td>1014496</td>
-      <td>94.3</td>
-      <td>0.2</td>
+      <td>444535</td>
+      <td>88.4</td>
+      <td>502852</td>
+      <td>87.6</td>
+      <td>0.8</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>113463</td>
-      <td>95.7</td>
-      <td>118524</td>
-      <td>95.5</td>
-      <td>0.2</td>
+      <td>234675</td>
+      <td>74.2</td>
+      <td>316316</td>
+      <td>69.9</td>
+      <td>4.3</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Dialysis</th>
-      <th>no</th>
-      <td>1070468</td>
-      <td>94.7</td>
-      <td>1130913</td>
-      <td>94.4</td>
-      <td>0.3</td>
+      <th rowspan="2" valign="top">Sex</th>
+      <th>F</th>
+      <td>376978</td>
+      <td>81.9</td>
+      <td>460271</td>
+      <td>79.6</td>
+      <td>2.3</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>1995</td>
-      <td>95.0</td>
-      <td>2100</td>
-      <td>94.7</td>
-      <td>0.3</td>
+      <th>M</th>
+      <td>302225</td>
+      <td>84.2</td>
+      <td>358883</td>
+      <td>82.2</td>
+      <td>2.0</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">DMARDs</th>
-      <th>no</th>
-      <td>1038702</td>
-      <td>94.6</td>
-      <td>1098097</td>
-      <td>94.3</td>
-      <td>0.3</td>
+      <th rowspan="5" valign="top">Age band</th>
+      <th>16-29</th>
+      <td>47740</td>
+      <td>69.8</td>
+      <td>68411</td>
+      <td>66.9</td>
+      <td>2.9</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>33761</td>
-      <td>96.7</td>
-      <td>34916</td>
-      <td>96.5</td>
-      <td>0.2</td>
+      <th>30-39</th>
+      <td>90209</td>
+      <td>71.7</td>
+      <td>125853</td>
+      <td>68.4</td>
+      <td>3.3</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>983738</td>
-      <td>94.7</td>
-      <td>1038695</td>
-      <td>94.5</td>
-      <td>0.2</td>
+      <th>40-49</th>
+      <td>131215</td>
+      <td>80.0</td>
+      <td>164101</td>
+      <td>77.1</td>
+      <td>2.9</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>88725</td>
-      <td>94.1</td>
-      <td>94318</td>
-      <td>93.7</td>
-      <td>0.4</td>
+      <th>50-59</th>
+      <td>194992</td>
+      <td>86.5</td>
+      <td>225519</td>
+      <td>84.5</td>
+      <td>2.0</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
-      <th>no</th>
-      <td>1064595</td>
-      <td>94.7</td>
-      <td>1124270</td>
-      <td>94.4</td>
-      <td>0.3</td>
+      <th>60-69</th>
+      <td>215054</td>
+      <td>91.4</td>
+      <td>235270</td>
+      <td>90.4</td>
+      <td>1.0</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>7868</td>
-      <td>90.0</td>
-      <td>8743</td>
-      <td>89.5</td>
-      <td>0.5</td>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>26502</td>
+      <td>59.8</td>
+      <td>44345</td>
+      <td>56.4</td>
+      <td>3.4</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>1071952</td>
-      <td>94.7</td>
-      <td>1132453</td>
-      <td>94.4</td>
-      <td>0.3</td>
+      <th>Mixed</th>
+      <td>9597</td>
+      <td>67.6</td>
+      <td>14203</td>
+      <td>64.7</td>
+      <td>2.9</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>511</td>
-      <td>91.2</td>
-      <td>560</td>
-      <td>90.0</td>
-      <td>1.2</td>
+      <th>Other</th>
+      <td>12229</td>
+      <td>67.8</td>
+      <td>18025</td>
+      <td>64.7</td>
+      <td>3.1</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">SSRI (last 12 months)</th>
-      <th>no</th>
-      <td>1005767</td>
-      <td>94.5</td>
-      <td>1063762</td>
-      <td>94.3</td>
-      <td>0.2</td>
+      <th>South Asian</th>
+      <td>78036</td>
+      <td>72.3</td>
+      <td>107968</td>
+      <td>68.2</td>
+      <td>4.1</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>66696</td>
-      <td>96.3</td>
-      <td>69251</td>
-      <td>96.0</td>
-      <td>0.3</td>
+      <th>Unknown</th>
+      <td>26467</td>
+      <td>80.3</td>
+      <td>32977</td>
+      <td>77.6</td>
+      <td>2.7</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Chemo or radiotherapy</th>
-      <th>no</th>
-      <td>1035748</td>
-      <td>94.6</td>
-      <td>1094933</td>
-      <td>94.3</td>
-      <td>0.3</td>
+      <th>White</th>
+      <td>526365</td>
+      <td>87.5</td>
+      <td>601636</td>
+      <td>85.8</td>
+      <td>1.7</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>36715</td>
-      <td>96.4</td>
-      <td>38080</td>
-      <td>96.2</td>
-      <td>0.2</td>
+      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
+      <th>1 Most deprived</th>
+      <td>186039</td>
+      <td>76.5</td>
+      <td>243124</td>
+      <td>73.6</td>
+      <td>2.9</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>151179</td>
+      <td>81.4</td>
+      <td>185633</td>
+      <td>79.1</td>
+      <td>2.3</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (lung)</th>
-      <th>no</th>
-      <td>1065155</td>
-      <td>94.6</td>
-      <td>1125362</td>
-      <td>94.4</td>
-      <td>0.2</td>
+      <th>3</th>
+      <td>132797</td>
+      <td>85.5</td>
+      <td>155239</td>
+      <td>83.8</td>
+      <td>1.7</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>7308</td>
-      <td>95.5</td>
-      <td>7651</td>
-      <td>95.2</td>
-      <td>0.3</td>
+      <th>4</th>
+      <td>107324</td>
+      <td>88.4</td>
+      <td>121387</td>
+      <td>86.9</td>
+      <td>1.5</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
-      <th>no</th>
-      <td>877695</td>
-      <td>94.3</td>
-      <td>930909</td>
-      <td>94.0</td>
-      <td>0.3</td>
+      <th>5 Least deprived</th>
+      <td>85757</td>
+      <td>91.0</td>
+      <td>94262</td>
+      <td>89.8</td>
+      <td>1.2</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>194768</td>
-      <td>96.4</td>
-      <td>202104</td>
-      <td>96.2</td>
-      <td>0.2</td>
+      <th>Unknown</th>
+      <td>16107</td>
+      <td>82.6</td>
+      <td>19502</td>
+      <td>80.4</td>
+      <td>2.2</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Cancer (haematological)</th>
+      <th rowspan="2" valign="top">Learning disability</th>
       <th>no</th>
-      <td>1052478</td>
-      <td>94.6</td>
-      <td>1112251</td>
-      <td>94.4</td>
-      <td>0.2</td>
+      <td>656180</td>
+      <td>82.8</td>
+      <td>792393</td>
+      <td>80.7</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>19985</td>
-      <td>96.3</td>
-      <td>20762</td>
-      <td>96.1</td>
-      <td>0.2</td>
+      <td>23023</td>
+      <td>86.0</td>
+      <td>26761</td>
+      <td>83.7</td>
+      <td>2.3</td>
     </tr>
   </tbody>
 </table>
@@ -31859,19 +37896,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <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>
@@ -31882,7 +37907,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h2><h2 id="Cumulative-vaccination-figures-among-70-79-population">Cumulative vaccination figures among 70-79 population<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-70-79-population">¶</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>
 
@@ -31893,7 +37918,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <div class="output_html rendered_html output_subarea ">
 <div>
-<style scoped="">
+<style scoped>
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -31911,8 +37936,8 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</th>
+      <th>Vaccinated at 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -31931,501 +37956,467 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>1948199</td>
-      <td>94.1</td>
-      <td>2070642</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>964435</td>
+      <td>89.9</td>
+      <td>1073352</td>
+      <td>87.9</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>1022889</td>
-      <td>94.3</td>
-      <td>1085084</td>
-      <td>94.0</td>
-      <td>0.3</td>
+      <td>497098</td>
+      <td>90.7</td>
+      <td>548170</td>
+      <td>88.8</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>925309</td>
-      <td>93.9</td>
-      <td>985551</td>
-      <td>93.6</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Age band</th>
-      <th>70-74</th>
-      <td>1124942</td>
-      <td>93.6</td>
-      <td>1201879</td>
-      <td>93.3</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th>75-79</th>
-      <td>823256</td>
-      <td>94.8</td>
-      <td>868763</td>
-      <td>94.5</td>
-      <td>0.3</td>
+      <td>467334</td>
+      <td>89.0</td>
+      <td>525175</td>
+      <td>87.0</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>9982</td>
-      <td>67.7</td>
-      <td>14735</td>
-      <td>66.7</td>
-      <td>1.0</td>
+      <td>6811</td>
+      <td>63.1</td>
+      <td>10787</td>
+      <td>60.5</td>
+      <td>2.6</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>5096</td>
-      <td>79.3</td>
-      <td>6426</td>
-      <td>78.6</td>
-      <td>0.7</td>
+      <td>3598</td>
+      <td>73.3</td>
+      <td>4907</td>
+      <td>71.2</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>11816</td>
-      <td>77.3</td>
-      <td>15281</td>
-      <td>76.8</td>
-      <td>0.5</td>
+      <td>8372</td>
+      <td>71.1</td>
+      <td>11781</td>
+      <td>68.9</td>
+      <td>2.2</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>46123</td>
-      <td>83.8</td>
-      <td>55027</td>
-      <td>83.1</td>
-      <td>0.7</td>
+      <td>35028</td>
+      <td>80.8</td>
+      <td>43337</td>
+      <td>79.0</td>
+      <td>1.8</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>129549</td>
-      <td>86.7</td>
-      <td>149457</td>
-      <td>86.3</td>
-      <td>0.4</td>
+      <td>83664</td>
+      <td>80.7</td>
+      <td>103635</td>
+      <td>78.4</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>1745625</td>
-      <td>95.4</td>
-      <td>1829709</td>
-      <td>95.1</td>
-      <td>0.3</td>
+      <td>826952</td>
+      <td>92.0</td>
+      <td>898905</td>
+      <td>90.1</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>3255</td>
-      <td>61.4</td>
-      <td>5299</td>
-      <td>60.4</td>
-      <td>1.0</td>
+      <td>2590</td>
+      <td>60.6</td>
+      <td>4277</td>
+      <td>57.4</td>
+      <td>3.2</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>1491</td>
-      <td>82.2</td>
-      <td>1813</td>
-      <td>80.7</td>
-      <td>1.5</td>
+      <td>1407</td>
+      <td>82.4</td>
+      <td>1708</td>
+      <td>79.5</td>
+      <td>2.9</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>5005</td>
-      <td>71.6</td>
-      <td>6986</td>
-      <td>70.6</td>
-      <td>1.0</td>
+      <td>2856</td>
+      <td>63.4</td>
+      <td>4508</td>
+      <td>60.9</td>
+      <td>2.5</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>3129</td>
-      <td>76.9</td>
-      <td>4067</td>
-      <td>76.4</td>
-      <td>0.5</td>
+      <td>2716</td>
+      <td>71.7</td>
+      <td>3787</td>
+      <td>69.1</td>
+      <td>2.6</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>8680</td>
-      <td>77.5</td>
-      <td>11207</td>
-      <td>77.0</td>
-      <td>0.5</td>
+      <td>5663</td>
+      <td>70.9</td>
+      <td>7987</td>
+      <td>68.8</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>9100</td>
-      <td>81.4</td>
-      <td>11186</td>
-      <td>80.7</td>
-      <td>0.7</td>
+      <td>6482</td>
+      <td>80.0</td>
+      <td>8106</td>
+      <td>78.2</td>
+      <td>1.8</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>1660176</td>
-      <td>95.9</td>
-      <td>1731219</td>
-      <td>95.6</td>
-      <td>0.3</td>
+      <td>783468</td>
+      <td>93.1</td>
+      <td>841442</td>
+      <td>91.2</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>26810</td>
-      <td>88.3</td>
-      <td>30366</td>
-      <td>87.8</td>
-      <td>0.5</td>
+      <td>19530</td>
+      <td>85.8</td>
+      <td>22764</td>
+      <td>84.5</td>
+      <td>1.3</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>13979</td>
-      <td>91.9</td>
-      <td>15218</td>
-      <td>91.4</td>
-      <td>0.5</td>
+      <td>5719</td>
+      <td>87.7</td>
+      <td>6524</td>
+      <td>86.2</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>1715</td>
-      <td>70.0</td>
-      <td>2450</td>
-      <td>68.9</td>
-      <td>1.1</td>
+      <td>1365</td>
+      <td>67.9</td>
+      <td>2009</td>
+      <td>65.9</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>71484</td>
-      <td>85.8</td>
-      <td>83279</td>
-      <td>85.5</td>
-      <td>0.3</td>
+      <td>37744</td>
+      <td>74.1</td>
+      <td>50918</td>
+      <td>72.4</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>2030</td>
-      <td>80.8</td>
-      <td>2513</td>
-      <td>80.2</td>
-      <td>0.6</td>
+      <td>1386</td>
+      <td>73.3</td>
+      <td>1890</td>
+      <td>71.5</td>
+      <td>1.8</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>8736</td>
-      <td>74.8</td>
-      <td>11676</td>
-      <td>73.6</td>
-      <td>1.2</td>
+      <td>7602</td>
+      <td>70.7</td>
+      <td>10752</td>
+      <td>68.1</td>
+      <td>2.6</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>129542</td>
-      <td>86.7</td>
-      <td>149443</td>
-      <td>86.3</td>
-      <td>0.4</td>
+      <td>83685</td>
+      <td>80.7</td>
+      <td>103656</td>
+      <td>78.4</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>1169</td>
-      <td>85.6</td>
-      <td>1365</td>
-      <td>85.6</td>
-      <td>0.0</td>
+      <td>840</td>
+      <td>82.8</td>
+      <td>1015</td>
+      <td>80.7</td>
+      <td>2.1</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>770</td>
-      <td>72.4</td>
-      <td>1064</td>
-      <td>71.7</td>
-      <td>0.7</td>
+      <td>588</td>
+      <td>66.7</td>
+      <td>882</td>
+      <td>65.1</td>
+      <td>1.6</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>1127</td>
-      <td>75.9</td>
-      <td>1484</td>
-      <td>74.5</td>
-      <td>1.4</td>
+      <td>784</td>
+      <td>70.0</td>
+      <td>1120</td>
+      <td>66.9</td>
+      <td>3.1</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>247667</td>
-      <td>90.4</td>
-      <td>274029</td>
-      <td>89.9</td>
-      <td>0.5</td>
+      <td>127974</td>
+      <td>83.4</td>
+      <td>153433</td>
+      <td>80.3</td>
+      <td>3.1</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>326179</td>
-      <td>92.7</td>
-      <td>351939</td>
-      <td>92.3</td>
-      <td>0.4</td>
+      <td>165459</td>
+      <td>87.6</td>
+      <td>188804</td>
+      <td>85.3</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>435085</td>
-      <td>94.4</td>
-      <td>460929</td>
-      <td>94.1</td>
-      <td>0.3</td>
+      <td>214417</td>
+      <td>90.5</td>
+      <td>237048</td>
+      <td>88.5</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>453075</td>
-      <td>95.2</td>
-      <td>476049</td>
-      <td>94.9</td>
-      <td>0.3</td>
+      <td>220353</td>
+      <td>91.8</td>
+      <td>239932</td>
+      <td>90.3</td>
+      <td>1.5</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>450737</td>
-      <td>96.0</td>
-      <td>469637</td>
-      <td>95.8</td>
-      <td>0.2</td>
+      <td>216937</td>
+      <td>93.3</td>
+      <td>232554</td>
+      <td>91.9</td>
+      <td>1.4</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>35455</td>
-      <td>93.2</td>
-      <td>38052</td>
-      <td>92.8</td>
-      <td>0.4</td>
+      <td>19285</td>
+      <td>89.4</td>
+      <td>21567</td>
+      <td>87.5</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">BMI</th>
       <th>30+</th>
-      <td>488936</td>
-      <td>95.5</td>
-      <td>511966</td>
-      <td>95.2</td>
-      <td>0.3</td>
+      <td>247989</td>
+      <td>92.5</td>
+      <td>268114</td>
+      <td>90.5</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>under 30</th>
-      <td>1459262</td>
-      <td>93.6</td>
-      <td>1558676</td>
-      <td>93.3</td>
-      <td>0.3</td>
+      <td>716443</td>
+      <td>89.0</td>
+      <td>805231</td>
+      <td>87.0</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>1595958</td>
-      <td>93.8</td>
-      <td>1700552</td>
-      <td>93.6</td>
-      <td>0.2</td>
+      <td>862519</td>
+      <td>89.6</td>
+      <td>962353</td>
+      <td>87.7</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>352240</td>
-      <td>95.2</td>
-      <td>370090</td>
-      <td>94.9</td>
-      <td>0.3</td>
+      <td>101913</td>
+      <td>91.8</td>
+      <td>110992</td>
+      <td>89.9</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>1761081</td>
-      <td>94.0</td>
-      <td>1873858</td>
-      <td>93.7</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>187117</td>
-      <td>95.1</td>
-      <td>196784</td>
-      <td>94.7</td>
-      <td>0.4</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dialysis</th>
-      <th>no</th>
-      <td>1944362</td>
-      <td>94.1</td>
-      <td>2066561</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>927192</td>
+      <td>89.8</td>
+      <td>1032542</td>
+      <td>87.9</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>3836</td>
-      <td>94.0</td>
-      <td>4081</td>
-      <td>93.5</td>
-      <td>0.5</td>
+      <td>37240</td>
+      <td>91.3</td>
+      <td>40803</td>
+      <td>89.0</td>
+      <td>2.3</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">DMARDs</th>
       <th>no</th>
-      <td>1878835</td>
-      <td>94.0</td>
-      <td>1998570</td>
-      <td>93.7</td>
-      <td>0.3</td>
+      <td>945903</td>
+      <td>89.8</td>
+      <td>1053542</td>
+      <td>87.8</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>69356</td>
-      <td>96.2</td>
-      <td>72072</td>
-      <td>95.9</td>
-      <td>0.3</td>
+      <td>18529</td>
+      <td>93.5</td>
+      <td>19810</td>
+      <td>91.8</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Dementia</th>
       <th>no</th>
-      <td>1907682</td>
-      <td>94.1</td>
-      <td>2027361</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>959392</td>
+      <td>89.9</td>
+      <td>1067738</td>
+      <td>87.9</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>40509</td>
-      <td>93.6</td>
-      <td>43274</td>
-      <td>93.1</td>
-      <td>0.5</td>
+      <td>5033</td>
+      <td>89.8</td>
+      <td>5607</td>
+      <td>87.8</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
       <th>no</th>
-      <td>1930089</td>
-      <td>94.1</td>
-      <td>2050076</td>
-      <td>93.9</td>
-      <td>0.2</td>
+      <td>954954</td>
+      <td>89.9</td>
+      <td>1061676</td>
+      <td>88.0</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>18102</td>
-      <td>88.0</td>
-      <td>20566</td>
-      <td>87.2</td>
-      <td>0.8</td>
+      <td>9478</td>
+      <td>81.2</td>
+      <td>11676</td>
+      <td>78.0</td>
+      <td>3.2</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Learning disability</th>
       <th>no</th>
-      <td>1945454</td>
-      <td>94.1</td>
-      <td>2067541</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>962297</td>
+      <td>89.9</td>
+      <td>1070818</td>
+      <td>87.9</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>2737</td>
-      <td>88.5</td>
-      <td>3094</td>
-      <td>87.3</td>
-      <td>1.2</td>
+      <td>2128</td>
+      <td>84.0</td>
+      <td>2534</td>
+      <td>79.3</td>
+      <td>4.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">SSRI (last 12 months)</th>
       <th>no</th>
-      <td>1799672</td>
-      <td>93.9</td>
-      <td>1915844</td>
-      <td>93.6</td>
-      <td>0.3</td>
+      <td>880152</td>
+      <td>89.6</td>
+      <td>982345</td>
+      <td>87.7</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>148526</td>
-      <td>96.0</td>
-      <td>154791</td>
-      <td>95.6</td>
-      <td>0.4</td>
+      <td>84280</td>
+      <td>92.6</td>
+      <td>91000</td>
+      <td>90.4</td>
+      <td>2.2</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chemo or radiotherapy</th>
       <th>no</th>
-      <td>1881607</td>
-      <td>94.0</td>
-      <td>2001321</td>
-      <td>93.7</td>
-      <td>0.3</td>
+      <td>945959</td>
+      <td>89.8</td>
+      <td>1053570</td>
+      <td>87.8</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>66584</td>
-      <td>96.1</td>
-      <td>69314</td>
-      <td>95.8</td>
-      <td>0.3</td>
+      <td>18466</td>
+      <td>93.3</td>
+      <td>19782</td>
+      <td>91.6</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (lung)</th>
       <th>no</th>
-      <td>1936235</td>
-      <td>94.1</td>
-      <td>2057979</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>962843</td>
+      <td>89.9</td>
+      <td>1071574</td>
+      <td>87.9</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>11956</td>
-      <td>94.4</td>
-      <td>12663</td>
-      <td>94.0</td>
-      <td>0.4</td>
+      <td>1582</td>
+      <td>89.3</td>
+      <td>1771</td>
+      <td>87.7</td>
+      <td>1.6</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
       <th>no</th>
-      <td>1674204</td>
-      <td>93.8</td>
-      <td>1785301</td>
-      <td>93.5</td>
-      <td>0.3</td>
+      <td>882903</td>
+      <td>89.6</td>
+      <td>985929</td>
+      <td>87.6</td>
+      <td>2.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>273987</td>
-      <td>96.0</td>
-      <td>285334</td>
-      <td>95.7</td>
-      <td>0.3</td>
+      <td>81529</td>
+      <td>93.3</td>
+      <td>87416</td>
+      <td>91.6</td>
+      <td>1.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (haematological)</th>
       <th>no</th>
-      <td>1919169</td>
-      <td>94.1</td>
-      <td>2040318</td>
-      <td>93.8</td>
-      <td>0.3</td>
+      <td>961002</td>
+      <td>89.8</td>
+      <td>1069628</td>
+      <td>87.9</td>
+      <td>1.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>29022</td>
-      <td>95.7</td>
-      <td>30324</td>
-      <td>95.4</td>
-      <td>0.3</td>
+      <td>3423</td>
+      <td>92.1</td>
+      <td>3717</td>
+      <td>90.4</td>
+      <td>1.7</td>
     </tr>
   </tbody>
 </table>
@@ -32452,219 +38443,9 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <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="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h2><h2 id="Cumulative-vaccination-figures-among-care-home-population">Cumulative vaccination figures among care home population<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-care-home-population">¶</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 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</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>78054</td>
-      <td>93.6</td>
-      <td>83377</td>
-      <td>93.2</td>
-      <td>0.4</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Sex</th>
-      <th>F</th>
-      <td>55776</td>
-      <td>94.1</td>
-      <td>59262</td>
-      <td>93.7</td>
-      <td>0.4</td>
-    </tr>
-    <tr>
-      <th>M</th>
-      <td>22281</td>
-      <td>92.4</td>
-      <td>24115</td>
-      <td>91.8</td>
-      <td>0.6</td>
-    </tr>
-    <tr>
-      <th rowspan="6" valign="top">Age band</th>
-      <th>65-69</th>
-      <td>4067</td>
-      <td>87.5</td>
-      <td>4648</td>
-      <td>85.8</td>
-      <td>1.7</td>
-    </tr>
-    <tr>
-      <th>70-74</th>
-      <td>6440</td>
-      <td>90.8</td>
-      <td>7091</td>
-      <td>89.9</td>
-      <td>0.9</td>
-    </tr>
-    <tr>
-      <th>75-79</th>
-      <td>8939</td>
-      <td>92.7</td>
-      <td>9646</td>
-      <td>92.2</td>
-      <td>0.5</td>
-    </tr>
-    <tr>
-      <th>80-84</th>
-      <td>13517</td>
-      <td>93.8</td>
-      <td>14406</td>
-      <td>93.5</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th>85-89</th>
-      <td>18305</td>
-      <td>94.5</td>
-      <td>19362</td>
-      <td>94.2</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th>90+</th>
-      <td>26782</td>
-      <td>94.9</td>
-      <td>28224</td>
-      <td>94.6</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>371</td>
-      <td>81.5</td>
-      <td>455</td>
-      <td>81.5</td>
-      <td>0.0</td>
-    </tr>
-    <tr>
-      <th>Mixed</th>
-      <td>196</td>
-      <td>87.5</td>
-      <td>224</td>
-      <td>87.5</td>
-      <td>0.0</td>
-    </tr>
-    <tr>
-      <th>Other</th>
-      <td>336</td>
-      <td>90.6</td>
-      <td>371</td>
-      <td>90.6</td>
-      <td>0.0</td>
-    </tr>
-    <tr>
-      <th>South Asian</th>
-      <td>595</td>
-      <td>86.7</td>
-      <td>686</td>
-      <td>85.7</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th>Unknown</th>
-      <td>1988</td>
-      <td>90.4</td>
-      <td>2198</td>
-      <td>90.1</td>
-      <td>0.3</td>
-    </tr>
-    <tr>
-      <th>White</th>
-      <td>74557</td>
-      <td>93.8</td>
-      <td>79450</td>
-      <td>93.4</td>
-      <td>0.4</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>35231</td>
-      <td>92.2</td>
-      <td>38220</td>
-      <td>91.5</td>
-      <td>0.7</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>42826</td>
-      <td>94.8</td>
-      <td>45157</td>
-      <td>94.6</td>
-      <td>0.2</td>
-    </tr>
-  </tbody>
-</table>
-</div>
+<li>Population excludes those known to live in an elderly care home, based upon clinical coding.</li>
+</ul>
+
 </div>
 
 </div>
@@ -32673,9 +38454,8 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<p><strong>Footnotes:</strong></p>
 <ul>
-<li>Patient counts rounded to the nearest 7</li>
+<li>Population excludes those who are currently shielding.</li>
 </ul>
 
 </div>
@@ -32687,7 +38467,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <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>SSRIs group excludes individuals with Psychosis/ schizophrenia/bipolar, LD, or Dementia.</li>
 </ul>
 
 </div>
@@ -32698,7 +38478,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</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="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-shielding-(aged-16-69)-population">¶</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-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>
 
@@ -32709,7 +38489,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <div class="output_html rendered_html output_subarea ">
 <div>
-<style scoped="">
+<style scoped>
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -32727,8 +38507,8 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</th>
+      <th>Vaccinated at 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -32747,201 +38527,142 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>657292</td>
-      <td>80.4</td>
-      <td>818013</td>
-      <td>76.9</td>
-      <td>3.5</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">newly shielded since feb 15</th>
-      <th>no</th>
-      <td>439397</td>
-      <td>87.3</td>
-      <td>503118</td>
-      <td>86.3</td>
-      <td>1.0</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>217896</td>
-      <td>69.2</td>
-      <td>314895</td>
-      <td>61.9</td>
-      <td>7.3</td>
+      <td>56185</td>
+      <td>69.7</td>
+      <td>80619</td>
+      <td>62.1</td>
+      <td>7.6</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>364154</td>
-      <td>79.2</td>
-      <td>459683</td>
-      <td>75.5</td>
-      <td>3.7</td>
+      <td>22190</td>
+      <td>72.8</td>
+      <td>30478</td>
+      <td>65.5</td>
+      <td>7.3</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>293125</td>
-      <td>81.8</td>
-      <td>358323</td>
-      <td>78.6</td>
-      <td>3.2</td>
-    </tr>
-    <tr>
-      <th rowspan="5" valign="top">Age band</th>
-      <th>16-29</th>
-      <td>45416</td>
-      <td>66.5</td>
-      <td>68292</td>
-      <td>62.4</td>
-      <td>4.1</td>
-    </tr>
-    <tr>
-      <th>30-39</th>
-      <td>85295</td>
+      <td>33992</td>
       <td>67.8</td>
-      <td>125776</td>
-      <td>62.3</td>
-      <td>5.5</td>
-    </tr>
-    <tr>
-      <th>40-49</th>
-      <td>125524</td>
-      <td>76.6</td>
-      <td>163919</td>
-      <td>71.7</td>
-      <td>4.9</td>
+      <td>50141</td>
+      <td>60.0</td>
+      <td>7.8</td>
     </tr>
     <tr>
-      <th>50-59</th>
-      <td>189406</td>
-      <td>84.1</td>
-      <td>225162</td>
-      <td>81.0</td>
-      <td>3.1</td>
+      <th rowspan="8" valign="top">Age band</th>
+      <th>16-29</th>
+      <td>20244</td>
+      <td>61.5</td>
+      <td>32928</td>
+      <td>53.5</td>
+      <td>8.0</td>
     </tr>
     <tr>
-      <th>60-69</th>
-      <td>211638</td>
-      <td>90.1</td>
-      <td>234857</td>
-      <td>88.6</td>
-      <td>1.5</td>
+      <th>30-34</th>
+      <td>7182</td>
+      <td>68.3</td>
+      <td>10514</td>
+      <td>60.2</td>
+      <td>8.1</td>
     </tr>
     <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>24745</td>
-      <td>55.8</td>
-      <td>44366</td>
-      <td>51.3</td>
-      <td>4.5</td>
+      <th>35-39</th>
+      <td>5523</td>
+      <td>72.8</td>
+      <td>7588</td>
+      <td>64.8</td>
+      <td>8.0</td>
     </tr>
     <tr>
-      <th>Mixed</th>
-      <td>9107</td>
-      <td>64.1</td>
-      <td>14210</td>
-      <td>59.5</td>
-      <td>4.6</td>
+      <th>40-44</th>
+      <td>4487</td>
+      <td>75.2</td>
+      <td>5964</td>
+      <td>67.3</td>
+      <td>7.9</td>
     </tr>
     <tr>
-      <th>Other</th>
-      <td>11571</td>
-      <td>64.2</td>
-      <td>18032</td>
-      <td>59.2</td>
-      <td>5.0</td>
+      <th>45-49</th>
+      <td>4676</td>
+      <td>77.0</td>
+      <td>6069</td>
+      <td>69.2</td>
+      <td>7.8</td>
     </tr>
     <tr>
-      <th>South Asian</th>
-      <td>72737</td>
-      <td>67.4</td>
-      <td>107996</td>
-      <td>61.6</td>
-      <td>5.8</td>
+      <th>50-54</th>
+      <td>5061</td>
+      <td>78.8</td>
+      <td>6426</td>
+      <td>72.2</td>
+      <td>6.6</td>
     </tr>
     <tr>
-      <th>Unknown</th>
-      <td>25459</td>
-      <td>77.1</td>
-      <td>33012</td>
-      <td>72.4</td>
-      <td>4.7</td>
+      <th>55-59</th>
+      <td>5103</td>
+      <td>79.7</td>
+      <td>6405</td>
+      <td>73.0</td>
+      <td>6.7</td>
     </tr>
     <tr>
-      <th>White</th>
-      <td>513660</td>
-      <td>85.6</td>
-      <td>600390</td>
+      <th>60-64</th>
+      <td>3906</td>
       <td>82.7</td>
-      <td>2.9</td>
-    </tr>
-    <tr>
-      <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
-      <th>1 Most deprived</th>
-      <td>177450</td>
-      <td>73.0</td>
-      <td>243131</td>
-      <td>68.6</td>
-      <td>4.4</td>
+      <td>4725</td>
+      <td>76.7</td>
+      <td>6.0</td>
     </tr>
     <tr>
-      <th>2</th>
-      <td>145726</td>
-      <td>78.6</td>
-      <td>185423</td>
-      <td>74.9</td>
-      <td>3.7</td>
+      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
+      <th>Black</th>
+      <td>588</td>
+      <td>44.4</td>
+      <td>1323</td>
+      <td>40.2</td>
+      <td>4.2</td>
     </tr>
     <tr>
-      <th>3</th>
-      <td>129493</td>
-      <td>83.5</td>
-      <td>155036</td>
-      <td>80.4</td>
-      <td>3.1</td>
+      <th>Mixed</th>
+      <td>539</td>
+      <td>50.7</td>
+      <td>1064</td>
+      <td>44.7</td>
+      <td>6.0</td>
     </tr>
     <tr>
-      <th>4</th>
-      <td>104944</td>
-      <td>86.7</td>
-      <td>121093</td>
-      <td>84.1</td>
-      <td>2.6</td>
+      <th>Other</th>
+      <td>343</td>
+      <td>51.6</td>
+      <td>665</td>
+      <td>45.3</td>
+      <td>6.3</td>
     </tr>
     <tr>
-      <th>5 Least deprived</th>
-      <td>84147</td>
-      <td>89.6</td>
-      <td>93912</td>
-      <td>87.3</td>
-      <td>2.3</td>
+      <th>South Asian</th>
+      <td>2359</td>
+      <td>51.2</td>
+      <td>4606</td>
+      <td>45.3</td>
+      <td>5.9</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>15526</td>
-      <td>80.0</td>
-      <td>19411</td>
-      <td>76.2</td>
-      <td>3.8</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
-      <th>no</th>
-      <td>635026</td>
-      <td>80.3</td>
-      <td>791252</td>
-      <td>76.8</td>
-      <td>3.5</td>
+      <td>4340</td>
+      <td>65.7</td>
+      <td>6601</td>
+      <td>56.9</td>
+      <td>8.8</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>22260</td>
-      <td>83.2</td>
-      <td>26754</td>
-      <td>79.9</td>
-      <td>3.3</td>
+      <th>White</th>
+      <td>48020</td>
+      <td>72.4</td>
+      <td>66367</td>
+      <td>64.6</td>
+      <td>7.8</td>
     </tr>
   </tbody>
 </table>
@@ -32968,7 +38689,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <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>
@@ -32979,7 +38700,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h2><h2 id="Cumulative-vaccination-figures-among-65-69-population">Cumulative vaccination figures among 65-69 population<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-65-69-population">¶</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>
 
@@ -32990,7 +38711,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <div class="output_html rendered_html output_subarea ">
 <div>
-<style scoped="">
+<style scoped>
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -33008,8 +38729,8 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</th>
+      <th>Vaccinated at 18 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (%)</th>
       <th>Total eligible</th>
       <th>Previous week's vaccination coverage (%)</th>
       <th>Vaccinated over last 7d (%)</th>
@@ -33028,467 +38749,450 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>939738</td>
-      <td>87.5</td>
-      <td>1073590</td>
-      <td>84.8</td>
-      <td>2.7</td>
+      <td>1022536</td>
+      <td>80.0</td>
+      <td>1277766</td>
+      <td>68.0</td>
+      <td>12.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>484918</td>
-      <td>88.5</td>
-      <td>548226</td>
-      <td>85.7</td>
-      <td>2.8</td>
+      <td>522116</td>
+      <td>82.2</td>
+      <td>635075</td>
+      <td>70.8</td>
+      <td>11.4</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>454818</td>
-      <td>86.6</td>
-      <td>525357</td>
-      <td>83.8</td>
-      <td>2.8</td>
+      <td>500416</td>
+      <td>77.9</td>
+      <td>642684</td>
+      <td>65.3</td>
+      <td>12.6</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>6475</td>
-      <td>59.9</td>
-      <td>10815</td>
-      <td>57.1</td>
-      <td>2.8</td>
+      <td>10416</td>
+      <td>53.4</td>
+      <td>19495</td>
+      <td>45.2</td>
+      <td>8.2</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>3472</td>
-      <td>70.8</td>
-      <td>4907</td>
-      <td>68.0</td>
-      <td>2.8</td>
+      <td>5166</td>
+      <td>65.2</td>
+      <td>7924</td>
+      <td>55.6</td>
+      <td>9.6</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>8085</td>
-      <td>68.7</td>
-      <td>11774</td>
-      <td>66.1</td>
-      <td>2.6</td>
+      <td>9786</td>
+      <td>60.9</td>
+      <td>16058</td>
+      <td>51.6</td>
+      <td>9.3</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>34055</td>
-      <td>78.6</td>
-      <td>43351</td>
-      <td>76.5</td>
-      <td>2.1</td>
+      <td>38514</td>
+      <td>73.7</td>
+      <td>52283</td>
+      <td>66.4</td>
+      <td>7.3</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>80920</td>
-      <td>78.0</td>
-      <td>103789</td>
-      <td>74.9</td>
-      <td>3.1</td>
+      <td>100205</td>
+      <td>69.4</td>
+      <td>144410</td>
+      <td>55.9</td>
+      <td>13.5</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>806729</td>
-      <td>89.7</td>
-      <td>898947</td>
-      <td>87.0</td>
-      <td>2.7</td>
+      <td>858445</td>
+      <td>82.7</td>
+      <td>1037589</td>
+      <td>70.5</td>
+      <td>12.2</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>2443</td>
-      <td>57.0</td>
-      <td>4284</td>
-      <td>54.6</td>
-      <td>2.4</td>
+      <td>4116</td>
+      <td>53.6</td>
+      <td>7672</td>
+      <td>45.9</td>
+      <td>7.7</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>1351</td>
-      <td>79.1</td>
-      <td>1708</td>
-      <td>75.8</td>
-      <td>3.3</td>
+      <td>1666</td>
+      <td>74.4</td>
+      <td>2240</td>
+      <td>65.9</td>
+      <td>8.5</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>2723</td>
-      <td>60.3</td>
-      <td>4515</td>
-      <td>57.4</td>
-      <td>2.9</td>
+      <td>4095</td>
+      <td>52.2</td>
+      <td>7847</td>
+      <td>43.6</td>
+      <td>8.6</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>2604</td>
-      <td>68.8</td>
-      <td>3787</td>
-      <td>65.6</td>
-      <td>3.2</td>
+      <td>2933</td>
+      <td>61.7</td>
+      <td>4753</td>
+      <td>49.9</td>
+      <td>11.8</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>5467</td>
-      <td>68.5</td>
-      <td>7980</td>
-      <td>66.1</td>
-      <td>2.4</td>
+      <td>6860</td>
+      <td>60.6</td>
+      <td>11312</td>
+      <td>52.3</td>
+      <td>8.3</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>6307</td>
-      <td>77.7</td>
-      <td>8113</td>
-      <td>75.5</td>
-      <td>2.2</td>
+      <td>8008</td>
+      <td>72.2</td>
+      <td>11095</td>
+      <td>64.5</td>
+      <td>7.7</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>764407</td>
-      <td>90.8</td>
-      <td>841442</td>
-      <td>88.1</td>
-      <td>2.7</td>
+      <td>809697</td>
+      <td>84.3</td>
+      <td>960722</td>
+      <td>71.8</td>
+      <td>12.5</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>19138</td>
-      <td>84.1</td>
-      <td>22757</td>
-      <td>82.4</td>
-      <td>1.7</td>
+      <td>20720</td>
+      <td>79.1</td>
+      <td>26194</td>
+      <td>72.4</td>
+      <td>6.7</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>5614</td>
-      <td>86.1</td>
-      <td>6524</td>
-      <td>84.0</td>
-      <td>2.1</td>
+      <td>5152</td>
+      <td>78.9</td>
+      <td>6531</td>
+      <td>70.3</td>
+      <td>8.6</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>1309</td>
-      <td>65.2</td>
-      <td>2009</td>
-      <td>62.0</td>
-      <td>3.2</td>
+      <td>2212</td>
+      <td>55.5</td>
+      <td>3983</td>
+      <td>47.1</td>
+      <td>8.4</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>36715</td>
-      <td>72.0</td>
-      <td>50988</td>
-      <td>69.7</td>
-      <td>2.3</td>
+      <td>43603</td>
+      <td>62.0</td>
+      <td>70343</td>
+      <td>53.1</td>
+      <td>8.9</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>1351</td>
-      <td>71.2</td>
-      <td>1897</td>
-      <td>68.6</td>
-      <td>2.6</td>
+      <td>1981</td>
+      <td>65.7</td>
+      <td>3017</td>
+      <td>57.1</td>
+      <td>8.6</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>7252</td>
-      <td>67.3</td>
-      <td>10773</td>
-      <td>64.7</td>
-      <td>2.6</td>
+      <td>8120</td>
+      <td>63.7</td>
+      <td>12754</td>
+      <td>55.7</td>
+      <td>8.0</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>80920</td>
-      <td>78.0</td>
-      <td>103782</td>
-      <td>74.9</td>
-      <td>3.1</td>
+      <td>100198</td>
+      <td>69.4</td>
+      <td>144389</td>
+      <td>55.9</td>
+      <td>13.5</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>812</td>
-      <td>80.0</td>
-      <td>1015</td>
-      <td>77.9</td>
-      <td>2.1</td>
+      <td>1106</td>
+      <td>75.6</td>
+      <td>1463</td>
+      <td>64.6</td>
+      <td>11.0</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>567</td>
-      <td>64.3</td>
-      <td>882</td>
-      <td>61.9</td>
-      <td>2.4</td>
+      <td>889</td>
+      <td>60.2</td>
+      <td>1477</td>
+      <td>50.2</td>
+      <td>10.0</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>749</td>
-      <td>66.9</td>
-      <td>1120</td>
-      <td>63.1</td>
-      <td>3.8</td>
+      <td>1190</td>
+      <td>60.5</td>
+      <td>1967</td>
+      <td>50.5</td>
+      <td>10.0</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>122507</td>
-      <td>79.8</td>
-      <td>153580</td>
-      <td>76.1</td>
-      <td>3.7</td>
+      <td>141820</td>
+      <td>71.4</td>
+      <td>198569</td>
+      <td>59.7</td>
+      <td>11.7</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>160244</td>
-      <td>84.8</td>
-      <td>188930</td>
-      <td>81.8</td>
-      <td>3.0</td>
+      <td>177989</td>
+      <td>76.9</td>
+      <td>231511</td>
+      <td>64.9</td>
+      <td>12.0</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>209111</td>
-      <td>88.2</td>
-      <td>237195</td>
-      <td>85.4</td>
-      <td>2.8</td>
+      <td>224868</td>
+      <td>81.0</td>
+      <td>277452</td>
+      <td>68.8</td>
+      <td>12.2</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>215824</td>
-      <td>90.0</td>
-      <td>239715</td>
-      <td>87.6</td>
-      <td>2.4</td>
+      <td>231658</td>
+      <td>83.1</td>
+      <td>278936</td>
+      <td>70.7</td>
+      <td>12.4</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>213283</td>
-      <td>91.7</td>
-      <td>232638</td>
-      <td>89.5</td>
-      <td>2.2</td>
+      <td>225708</td>
+      <td>85.0</td>
+      <td>265608</td>
+      <td>73.1</td>
+      <td>11.9</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>18767</td>
-      <td>87.2</td>
-      <td>21518</td>
-      <td>84.5</td>
-      <td>2.7</td>
+      <td>20496</td>
+      <td>79.8</td>
+      <td>25669</td>
+      <td>69.5</td>
+      <td>10.3</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">BMI</th>
       <th>30+</th>
-      <td>241759</td>
-      <td>90.1</td>
-      <td>268275</td>
-      <td>87.3</td>
-      <td>2.8</td>
+      <td>264299</td>
+      <td>85.3</td>
+      <td>309953</td>
+      <td>75.2</td>
+      <td>10.1</td>
     </tr>
     <tr>
       <th>under 30</th>
-      <td>697970</td>
-      <td>86.7</td>
-      <td>805308</td>
-      <td>84.0</td>
-      <td>2.7</td>
+      <td>758233</td>
+      <td>78.3</td>
+      <td>967799</td>
+      <td>65.7</td>
+      <td>12.6</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>840385</td>
-      <td>87.3</td>
-      <td>962647</td>
-      <td>84.6</td>
-      <td>2.7</td>
+      <td>941059</td>
+      <td>79.4</td>
+      <td>1184659</td>
+      <td>66.9</td>
+      <td>12.5</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>99351</td>
-      <td>89.6</td>
-      <td>110929</td>
-      <td>86.8</td>
-      <td>2.8</td>
+      <td>81473</td>
+      <td>87.5</td>
+      <td>93093</td>
+      <td>82.3</td>
+      <td>5.2</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>903546</td>
-      <td>87.5</td>
-      <td>1032731</td>
-      <td>84.8</td>
-      <td>2.7</td>
+      <td>992621</td>
+      <td>79.8</td>
+      <td>1243165</td>
+      <td>67.6</td>
+      <td>12.2</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>36190</td>
-      <td>88.6</td>
-      <td>40852</td>
-      <td>85.6</td>
-      <td>3.0</td>
+      <td>29911</td>
+      <td>86.5</td>
+      <td>34594</td>
+      <td>81.2</td>
+      <td>5.3</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">DMARDs</th>
       <th>no</th>
-      <td>921606</td>
-      <td>87.5</td>
-      <td>1053766</td>
-      <td>84.7</td>
-      <td>2.8</td>
-    </tr>
-    <tr>
-      <th>yes</th>
-      <td>18130</td>
-      <td>91.5</td>
-      <td>19817</td>
-      <td>88.9</td>
-      <td>2.6</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Dementia</th>
-      <th>no</th>
-      <td>934850</td>
-      <td>87.5</td>
-      <td>1067976</td>
-      <td>84.8</td>
-      <td>2.7</td>
+      <td>1004255</td>
+      <td>79.9</td>
+      <td>1257011</td>
+      <td>67.8</td>
+      <td>12.1</td>
     </tr>
     <tr>
-      <th>yes</th>
-      <td>4879</td>
-      <td>87.1</td>
-      <td>5600</td>
-      <td>83.8</td>
-      <td>3.3</td>
+      <th>yes</th>
+      <td>18277</td>
+      <td>88.1</td>
+      <td>20741</td>
+      <td>80.9</td>
+      <td>7.2</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
+      <th rowspan="2" valign="top">Dementia</th>
       <th>no</th>
-      <td>930713</td>
-      <td>87.6</td>
-      <td>1061921</td>
-      <td>84.9</td>
-      <td>2.7</td>
+      <td>1019459</td>
+      <td>80.0</td>
+      <td>1274098</td>
+      <td>68.0</td>
+      <td>12.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>9023</td>
-      <td>77.4</td>
-      <td>11662</td>
-      <td>73.4</td>
-      <td>4.0</td>
+      <td>3073</td>
+      <td>84.1</td>
+      <td>3654</td>
+      <td>75.9</td>
+      <td>8.2</td>
     </tr>
     <tr>
-      <th rowspan="2" valign="top">Learning disability</th>
+      <th rowspan="2" valign="top">Psychosis, schizophrenia, or bipolar</th>
       <th>no</th>
-      <td>937741</td>
-      <td>87.6</td>
-      <td>1071035</td>
-      <td>84.8</td>
-      <td>2.8</td>
+      <td>1011528</td>
+      <td>80.1</td>
+      <td>1263038</td>
+      <td>68.0</td>
+      <td>12.1</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>1995</td>
-      <td>78.3</td>
-      <td>2548</td>
-      <td>72.0</td>
-      <td>6.3</td>
+      <td>11004</td>
+      <td>74.8</td>
+      <td>14721</td>
+      <td>67.9</td>
+      <td>6.9</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">SSRI (last 12 months)</th>
       <th>no</th>
-      <td>857843</td>
-      <td>87.3</td>
-      <td>982541</td>
-      <td>84.6</td>
-      <td>2.7</td>
+      <td>914704</td>
+      <td>79.6</td>
+      <td>1149582</td>
+      <td>67.4</td>
+      <td>12.2</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>81886</td>
-      <td>89.9</td>
-      <td>91042</td>
-      <td>86.8</td>
-      <td>3.1</td>
+      <td>107828</td>
+      <td>84.1</td>
+      <td>128170</td>
+      <td>73.0</td>
+      <td>11.1</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chemo or radiotherapy</th>
       <th>no</th>
-      <td>921704</td>
-      <td>87.5</td>
-      <td>1053787</td>
-      <td>84.7</td>
-      <td>2.8</td>
+      <td>1006852</td>
+      <td>79.9</td>
+      <td>1259720</td>
+      <td>67.9</td>
+      <td>12.0</td>
     </tr>
     <tr>
       <th>yes</th>
+      <td>15680</td>
+      <td>87.0</td>
       <td>18032</td>
-      <td>91.1</td>
-      <td>19789</td>
-      <td>88.4</td>
-      <td>2.7</td>
+      <td>76.5</td>
+      <td>10.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (lung)</th>
       <th>no</th>
-      <td>938189</td>
-      <td>87.5</td>
-      <td>1071805</td>
-      <td>84.8</td>
-      <td>2.7</td>
+      <td>1021566</td>
+      <td>80.0</td>
+      <td>1276583</td>
+      <td>68.0</td>
+      <td>12.0</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>1547</td>
-      <td>87.0</td>
-      <td>1778</td>
-      <td>84.3</td>
-      <td>2.7</td>
+      <td>966</td>
+      <td>82.1</td>
+      <td>1176</td>
+      <td>75.6</td>
+      <td>6.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (excluding lung/haem)</th>
       <th>no</th>
-      <td>860006</td>
-      <td>87.2</td>
-      <td>986202</td>
-      <td>84.4</td>
-      <td>2.8</td>
+      <td>960708</td>
+      <td>79.7</td>
+      <td>1205953</td>
+      <td>67.5</td>
+      <td>12.2</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>79723</td>
-      <td>91.2</td>
-      <td>87381</td>
-      <td>88.8</td>
-      <td>2.4</td>
+      <td>61824</td>
+      <td>86.1</td>
+      <td>71799</td>
+      <td>75.6</td>
+      <td>10.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Cancer (haematological)</th>
       <th>no</th>
-      <td>936397</td>
-      <td>87.5</td>
-      <td>1069852</td>
-      <td>84.8</td>
-      <td>2.7</td>
+      <td>1019536</td>
+      <td>80.0</td>
+      <td>1274371</td>
+      <td>67.9</td>
+      <td>12.1</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>3339</td>
-      <td>89.7</td>
-      <td>3724</td>
-      <td>86.5</td>
-      <td>3.2</td>
+      <td>2996</td>
+      <td>88.6</td>
+      <td>3381</td>
+      <td>83.4</td>
+      <td>5.2</td>
     </tr>
   </tbody>
 </table>
@@ -33513,18 +39217,6 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 <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>
@@ -33550,7 +39242,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 
 <div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h2><h2 id="Cumulative-vaccination-figures-among-under-65s,-not-in-other-eligible-groups-shown-population">Cumulative vaccination figures among under 65s, not in other eligible groups shown population<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-under-65s,-not-in-other-eligible-groups-shown-population">¶</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-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>
 
 </div>
 
@@ -33561,7 +39253,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <div class="output_html rendered_html output_subarea ">
 <div>
-<style scoped="">
+<style scoped>
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -33579,7 +39271,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr style="text-align: right;">
       <th></th>
       <th></th>
-      <th>Vaccinated at 11 Mar (n)</th>
+      <th>Vaccinated at 18 Mar (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>
@@ -33597,342 +39289,335 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
     <tr>
       <th>overall</th>
       <th>overall</th>
-      <td>3196959</td>
-      <td>2729600.0</td>
-      <td>467359.0</td>
-      <td>17.1</td>
+      <td>3077645</td>
+      <td>2416328.0</td>
+      <td>661317.0</td>
+      <td>27.4</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Sex</th>
       <th>F</th>
-      <td>1934212</td>
-      <td>1694644.0</td>
-      <td>239568.0</td>
-      <td>14.1</td>
+      <td>1857653</td>
+      <td>1529969.0</td>
+      <td>327684.0</td>
+      <td>21.4</td>
     </tr>
     <tr>
       <th>M</th>
-      <td>1262702</td>
-      <td>1034915.0</td>
-      <td>227787.0</td>
-      <td>22.0</td>
+      <td>1219932</td>
+      <td>886312.0</td>
+      <td>333620.0</td>
+      <td>37.6</td>
     </tr>
     <tr>
-      <th rowspan="5" valign="top">Age band</th>
+      <th rowspan="4" valign="top">Age band</th>
       <th>16-29</th>
-      <td>361179</td>
-      <td>328860.0</td>
-      <td>32319.0</td>
-      <td>9.8</td>
+      <td>415982</td>
+      <td>367591.0</td>
+      <td>48391.0</td>
+      <td>13.2</td>
     </tr>
     <tr>
       <th>30-39</th>
-      <td>451724</td>
-      <td>407008.0</td>
-      <td>44716.0</td>
-      <td>11.0</td>
+      <td>520856</td>
+      <td>459354.0</td>
+      <td>61502.0</td>
+      <td>13.4</td>
     </tr>
     <tr>
       <th>40-49</th>
-      <td>581077</td>
-      <td>519141.0</td>
-      <td>61936.0</td>
-      <td>11.9</td>
+      <td>678125</td>
+      <td>590492.0</td>
+      <td>87633.0</td>
+      <td>14.8</td>
     </tr>
     <tr>
       <th>50-59</th>
-      <td>962780</td>
-      <td>825776.0</td>
-      <td>137004.0</td>
-      <td>16.6</td>
-    </tr>
-    <tr>
-      <th>60-69</th>
-      <td>840147</td>
-      <td>648781.0</td>
-      <td>191366.0</td>
-      <td>29.5</td>
+      <td>1462622</td>
+      <td>998851.0</td>
+      <td>463771.0</td>
+      <td>46.4</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
       <th>Black</th>
-      <td>59108</td>
-      <td>52444.0</td>
-      <td>6664.0</td>
-      <td>12.7</td>
+      <td>60613</td>
+      <td>51835.0</td>
+      <td>8778.0</td>
+      <td>16.9</td>
     </tr>
     <tr>
       <th>Mixed</th>
-      <td>32445</td>
-      <td>28581.0</td>
-      <td>3864.0</td>
-      <td>13.5</td>
+      <td>34335</td>
+      <td>28833.0</td>
+      <td>5502.0</td>
+      <td>19.1</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>47740</td>
-      <td>41433.0</td>
-      <td>6307.0</td>
-      <td>15.2</td>
+      <td>49539</td>
+      <td>40831.0</td>
+      <td>8708.0</td>
+      <td>21.3</td>
     </tr>
     <tr>
       <th>South Asian</th>
-      <td>203700</td>
-      <td>179914.0</td>
-      <td>23786.0</td>
-      <td>13.2</td>
+      <td>204939</td>
+      <td>173726.0</td>
+      <td>31213.0</td>
+      <td>18.0</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>265258</td>
-      <td>222019.0</td>
-      <td>43239.0</td>
-      <td>19.5</td>
+      <td>260197</td>
+      <td>193277.0</td>
+      <td>66920.0</td>
+      <td>34.6</td>
     </tr>
     <tr>
       <th>White</th>
-      <td>2588663</td>
-      <td>2205168.0</td>
-      <td>383495.0</td>
-      <td>17.4</td>
+      <td>2467962</td>
+      <td>1927786.0</td>
+      <td>540176.0</td>
+      <td>28.0</td>
     </tr>
     <tr>
       <th rowspan="17" valign="top">ethnicity 16 groups</th>
       <th>African</th>
-      <td>35084</td>
-      <td>31822.0</td>
-      <td>3262.0</td>
-      <td>10.3</td>
+      <td>36736</td>
+      <td>32389.0</td>
+      <td>4347.0</td>
+      <td>13.4</td>
     </tr>
     <tr>
       <th>Bangladeshi or British Bangladeshi</th>
-      <td>12362</td>
-      <td>10710.0</td>
-      <td>1652.0</td>
-      <td>15.4</td>
+      <td>13601</td>
+      <td>11214.0</td>
+      <td>2387.0</td>
+      <td>21.3</td>
     </tr>
     <tr>
       <th>Caribbean</th>
-      <td>12145</td>
-      <td>10234.0</td>
-      <td>1911.0</td>
-      <td>18.7</td>
+      <td>11417</td>
+      <td>9086.0</td>
+      <td>2331.0</td>
+      <td>25.7</td>
     </tr>
     <tr>
       <th>Chinese</th>
-      <td>10080</td>
-      <td>8470.0</td>
-      <td>1610.0</td>
-      <td>19.0</td>
+      <td>10346</td>
+      <td>8029.0</td>
+      <td>2317.0</td>
+      <td>28.9</td>
     </tr>
     <tr>
       <th>Other</th>
-      <td>37674</td>
-      <td>32984.0</td>
-      <td>4690.0</td>
-      <td>14.2</td>
+      <td>39200</td>
+      <td>32795.0</td>
+      <td>6405.0</td>
+      <td>19.5</td>
     </tr>
     <tr>
       <th>Other Asian</th>
-      <td>48573</td>
-      <td>43666.0</td>
-      <td>4907.0</td>
-      <td>11.2</td>
+      <td>49007</td>
+      <td>42413.0</td>
+      <td>6594.0</td>
+      <td>15.5</td>
     </tr>
     <tr>
       <th>British or Mixed British</th>
-      <td>2403156</td>
-      <td>2045666.0</td>
-      <td>357490.0</td>
-      <td>17.5</td>
+      <td>2281664</td>
+      <td>1778560.0</td>
+      <td>503104.0</td>
+      <td>28.3</td>
     </tr>
     <tr>
       <th>Indian or British Indian</th>
-      <td>95298</td>
-      <td>84413.0</td>
-      <td>10885.0</td>
-      <td>12.9</td>
+      <td>92512</td>
+      <td>78442.0</td>
+      <td>14070.0</td>
+      <td>17.9</td>
     </tr>
     <tr>
       <th>Irish</th>
-      <td>15862</td>
-      <td>13622.0</td>
-      <td>2240.0</td>
-      <td>16.4</td>
+      <td>14644</td>
+      <td>11676.0</td>
+      <td>2968.0</td>
+      <td>25.4</td>
     </tr>
     <tr>
       <th>Other Black</th>
-      <td>11865</td>
-      <td>10381.0</td>
-      <td>1484.0</td>
-      <td>14.3</td>
+      <td>12460</td>
+      <td>10360.0</td>
+      <td>2100.0</td>
+      <td>20.3</td>
     </tr>
     <tr>
       <th>Other White</th>
-      <td>169617</td>
-      <td>145866.0</td>
-      <td>23751.0</td>
-      <td>16.3</td>
+      <td>171612</td>
+      <td>137536.0</td>
+      <td>34076.0</td>
+      <td>24.8</td>
     </tr>
     <tr>
       <th>Other mixed</th>
-      <td>11368</td>
-      <td>9975.0</td>
-      <td>1393.0</td>
-      <td>14.0</td>
+      <td>11935</td>
+      <td>9919.0</td>
+      <td>2016.0</td>
+      <td>20.3</td>
     </tr>
     <tr>
       <th>Pakistani or British Pakistani</th>
-      <td>47481</td>
-      <td>41139.0</td>
-      <td>6342.0</td>
-      <td>15.4</td>
+      <td>49812</td>
+      <td>41650.0</td>
+      <td>8162.0</td>
+      <td>19.6</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>265258</td>
-      <td>222012.0</td>
-      <td>43246.0</td>
-      <td>19.5</td>
+      <td>260232</td>
+      <td>193298.0</td>
+      <td>66934.0</td>
+      <td>34.6</td>
     </tr>
     <tr>
       <th>White + Asian</th>
-      <td>7504</td>
-      <td>6615.0</td>
-      <td>889.0</td>
-      <td>13.4</td>
+      <td>7966</td>
+      <td>6748.0</td>
+      <td>1218.0</td>
+      <td>18.0</td>
     </tr>
     <tr>
       <th>White + Black African</th>
-      <td>6531</td>
-      <td>5880.0</td>
-      <td>651.0</td>
-      <td>11.1</td>
+      <td>6874</td>
+      <td>5922.0</td>
+      <td>952.0</td>
+      <td>16.1</td>
     </tr>
     <tr>
       <th>White + Black Caribbean</th>
-      <td>7056</td>
-      <td>6118.0</td>
-      <td>938.0</td>
-      <td>15.3</td>
+      <td>7567</td>
+      <td>6251.0</td>
+      <td>1316.0</td>
+      <td>21.1</td>
     </tr>
     <tr>
       <th rowspan="6" valign="top">Index of Multiple Deprivation (quintiles)</th>
       <th>1 Most deprived</th>
-      <td>541338</td>
-      <td>461755.0</td>
-      <td>79583.0</td>
-      <td>17.2</td>
+      <td>545622</td>
+      <td>437997.0</td>
+      <td>107625.0</td>
+      <td>24.6</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>599697</td>
-      <td>515956.0</td>
-      <td>83741.0</td>
-      <td>16.2</td>
+      <td>583625</td>
+      <td>465136.0</td>
+      <td>118489.0</td>
+      <td>25.5</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>683564</td>
-      <td>584682.0</td>
-      <td>98882.0</td>
-      <td>16.9</td>
+      <td>650552</td>
+      <td>510538.0</td>
+      <td>140014.0</td>
+      <td>27.4</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>665077</td>
-      <td>566937.0</td>
-      <td>98140.0</td>
-      <td>17.3</td>
+      <td>628334</td>
+      <td>487655.0</td>
+      <td>140679.0</td>
+      <td>28.8</td>
     </tr>
     <tr>
       <th>5 Least deprived</th>
-      <td>627662</td>
-      <td>531489.0</td>
-      <td>96173.0</td>
-      <td>18.1</td>
+      <td>590814</td>
+      <td>450926.0</td>
+      <td>139888.0</td>
+      <td>31.0</td>
     </tr>
     <tr>
       <th>Unknown</th>
-      <td>79576</td>
-      <td>68747.0</td>
-      <td>10829.0</td>
-      <td>15.8</td>
+      <td>78638</td>
+      <td>64043.0</td>
+      <td>14595.0</td>
+      <td>22.8</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">BMI</th>
       <th>30+</th>
-      <td>870548</td>
-      <td>746431.0</td>
-      <td>124117.0</td>
-      <td>16.6</td>
+      <td>811587</td>
+      <td>657881.0</td>
+      <td>153706.0</td>
+      <td>23.4</td>
     </tr>
     <tr>
       <th>under 30</th>
-      <td>2326366</td>
-      <td>1983128.0</td>
-      <td>343238.0</td>
-      <td>17.3</td>
+      <td>2265998</td>
+      <td>1758407.0</td>
+      <td>507591.0</td>
+      <td>28.9</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Chronic cardiac disease</th>
       <th>no</th>
-      <td>3008663</td>
-      <td>2566326.0</td>
-      <td>442337.0</td>
-      <td>17.2</td>
+      <td>2943668</td>
+      <td>2301292.0</td>
+      <td>642376.0</td>
+      <td>27.9</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>188251</td>
-      <td>163233.0</td>
-      <td>25018.0</td>
-      <td>15.3</td>
+      <td>133917</td>
+      <td>114996.0</td>
+      <td>18921.0</td>
+      <td>16.5</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">Current COPD</th>
       <th>no</th>
-      <td>3130596</td>
-      <td>2671256.0</td>
-      <td>459340.0</td>
-      <td>17.2</td>
+      <td>3032449</td>
+      <td>2377053.0</td>
+      <td>655396.0</td>
+      <td>27.6</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>66318</td>
-      <td>58303.0</td>
-      <td>8015.0</td>
-      <td>13.7</td>
+      <td>45136</td>
+      <td>39235.0</td>
+      <td>5901.0</td>
+      <td>15.0</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">DMARDs</th>
       <th>no</th>
-      <td>3135118</td>
-      <td>2675883.0</td>
-      <td>459235.0</td>
-      <td>17.2</td>
+      <td>3022943</td>
+      <td>2370249.0</td>
+      <td>652694.0</td>
+      <td>27.5</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>61796</td>
-      <td>53676.0</td>
-      <td>8120.0</td>
-      <td>15.1</td>
+      <td>54642</td>
+      <td>46032.0</td>
+      <td>8610.0</td>
+      <td>18.7</td>
     </tr>
     <tr>
       <th rowspan="2" valign="top">SSRI (last 12 months)</th>
       <th>no</th>
-      <td>2729769</td>
-      <td>2321046.0</td>
-      <td>408723.0</td>
-      <td>17.6</td>
+      <td>2612694</td>
+      <td>2032268.0</td>
+      <td>580426.0</td>
+      <td>28.6</td>
     </tr>
     <tr>
       <th>yes</th>
-      <td>467145</td>
-      <td>408513.0</td>
-      <td>58632.0</td>
-      <td>14.4</td>
+      <td>464891</td>
+      <td>384020.0</td>
+      <td>80871.0</td>
+      <td>21.1</td>
     </tr>
   </tbody>
 </table>
@@ -33966,228 +39651,6 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 </div>
 
-<div class="output_area">
-
-
-<div class="output_markdown rendered_html output_subarea ">
-<h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</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="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Cumulative-vaccination-figures-among-LD-(aged-16-64)-population">¶</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 11 Mar (n)</th>
-      <th>Vaccinated at 11 Mar (%)</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>48943</td>
-      <td>60.9</td>
-      <td>80367</td>
-      <td>51.5</td>
-      <td>9.4</td>
-    </tr>
-    <tr>
-      <th rowspan="2" valign="top">Sex</th>
-      <th>F</th>
-      <td>19523</td>
-      <td>64.2</td>
-      <td>30394</td>
-      <td>54.7</td>
-      <td>9.5</td>
-    </tr>
-    <tr>
-      <th>M</th>
-      <td>29414</td>
-      <td>58.9</td>
-      <td>49966</td>
-      <td>49.6</td>
-      <td>9.3</td>
-    </tr>
-    <tr>
-      <th rowspan="8" valign="top">Age band</th>
-      <th>16-29</th>
-      <td>17171</td>
-      <td>52.5</td>
-      <td>32725</td>
-      <td>43.1</td>
-      <td>9.4</td>
-    </tr>
-    <tr>
-      <th>30-34</th>
-      <td>6188</td>
-      <td>59.0</td>
-      <td>10493</td>
-      <td>49.2</td>
-      <td>9.8</td>
-    </tr>
-    <tr>
-      <th>35-39</th>
-      <td>4816</td>
-      <td>63.5</td>
-      <td>7581</td>
-      <td>53.4</td>
-      <td>10.1</td>
-    </tr>
-    <tr>
-      <th>40-44</th>
-      <td>3941</td>
-      <td>66.1</td>
-      <td>5964</td>
-      <td>55.9</td>
-      <td>10.2</td>
-    </tr>
-    <tr>
-      <th>45-49</th>
-      <td>4102</td>
-      <td>67.7</td>
-      <td>6055</td>
-      <td>57.6</td>
-      <td>10.1</td>
-    </tr>
-    <tr>
-      <th>50-54</th>
-      <td>4543</td>
-      <td>70.7</td>
-      <td>6426</td>
-      <td>61.4</td>
-      <td>9.3</td>
-    </tr>
-    <tr>
-      <th>55-59</th>
-      <td>4613</td>
-      <td>72.1</td>
-      <td>6398</td>
-      <td>64.2</td>
-      <td>7.9</td>
-    </tr>
-    <tr>
-      <th>60-64</th>
-      <td>3563</td>
-      <td>75.5</td>
-      <td>4718</td>
-      <td>67.4</td>
-      <td>8.1</td>
-    </tr>
-    <tr>
-      <th rowspan="6" valign="top">Ethnicity (broad categories)</th>
-      <th>Black</th>
-      <td>525</td>
-      <td>39.9</td>
-      <td>1316</td>
-      <td>33.5</td>
-      <td>6.4</td>
-    </tr>
-    <tr>
-      <th>Mixed</th>
-      <td>462</td>
-      <td>43.4</td>
-      <td>1064</td>
-      <td>36.2</td>
-      <td>7.2</td>
-    </tr>
-    <tr>
-      <th>Other</th>
-      <td>301</td>
-      <td>45.7</td>
-      <td>658</td>
-      <td>40.4</td>
-      <td>5.3</td>
-    </tr>
-    <tr>
-      <th>South Asian</th>
-      <td>2023</td>
-      <td>44.1</td>
-      <td>4592</td>
-      <td>36.3</td>
-      <td>7.8</td>
-    </tr>
-    <tr>
-      <th>Unknown</th>
-      <td>3689</td>
-      <td>56.1</td>
-      <td>6580</td>
-      <td>45.2</td>
-      <td>10.9</td>
-    </tr>
-    <tr>
-      <th>White</th>
-      <td>41944</td>
-      <td>63.4</td>
-      <td>66150</td>
-      <td>53.9</td>
-      <td>9.5</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 who are currently shielding.</li>
-</ul>
-
-</div>
-
-</div>
-
 </div>
 </div>
 
@@ -34195,7 +39658,7 @@ <h2 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
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-<h3 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#-">¶</a></h3><h2 id="Appendix">Appendix<a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Appendix">¶</a></h2><h3 id="Ethnicity-coverage-for-each-eligible-group-">Ethnicity coverage for each eligible group <a name="ethnicity"></a><a class="anchor-link" href="file:///E:/helen/covid-vaccine-preliminary-uptake-study/released-outputs/opensafely_vaccine_report_overall.html#Ethnicity-coverage-for-each-eligible-group-">¶</a></h3>
+<h3 id="-"> <a class="anchor-link" href="#-">&#182;</a></h3><h2 id="Appendix">Appendix<a class="anchor-link" href="#Appendix">&#182;</a></h2><h3 id="Ethnicity-coverage-for-each-eligible-group-">Ethnicity coverage for each eligible group <a name="ethnicity" /><a class="anchor-link" href="#Ethnicity-coverage-for-each-eligible-group-">&#182;</a></h3>
 </div>
 </div>
 </div>
@@ -34227,7 +39690,7 @@ <h3 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
 
 <div class="output_html rendered_html output_subarea output_execute_result">
 <div>
-<style scoped="">
+<style scoped>
     .dataframe tbody tr th:only-of-type {
         vertical-align: middle;
     }
@@ -34256,34 +39719,39 @@ <h3 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
   <tbody>
     <tr>
       <th>80+</th>
-      <td>1133020</td>
+      <td>1130682</td>
       <td>94.2</td>
     </tr>
     <tr>
       <th>70-79</th>
-      <td>2070642</td>
+      <td>2069893</td>
       <td>92.8</td>
     </tr>
     <tr>
       <th>care home</th>
-      <td>83377</td>
-      <td>97.4</td>
+      <td>83454</td>
+      <td>97.3</td>
     </tr>
     <tr>
       <th>shielding (aged 16-69)</th>
-      <td>818013</td>
+      <td>819168</td>
       <td>96.0</td>
     </tr>
     <tr>
       <th>65-69</th>
-      <td>1073590</td>
+      <td>1073352</td>
       <td>90.3</td>
     </tr>
     <tr>
       <th>LD (aged 16-64)</th>
-      <td>80367</td>
+      <td>80619</td>
       <td>91.8</td>
     </tr>
+    <tr>
+      <th>60-64</th>
+      <td>1277766</td>
+      <td>88.7</td>
+    </tr>
   </tbody>
 </table>
 </div>
@@ -34297,10 +39765,9 @@ <h3 id="-"> <a class="anchor-link" href="file:///E:/helen/covid-vaccine-prelimin
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-
+</body>
 
  
 
 
-
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