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Produce a flat file of a list that identifies, per school taxing district in 2023, the top 10 most impactful PINs (i.e., the PINs with the largest AV).
Context:
There are two related Strategic Plan initiatives we can assist with: "Build support amongst taxing bodies to defend quality of assessments and intervene in appeals processes" and "Evaluate opportunities for the Assessor's Office to defend our values in the Board of Review appeals process". A list of top 10 most impactful properties might help these initiatives.
Universe:
Please identify school districts using the tax database; specifically, use all agencies in tax.agency_info, where major_type = SCHOOL. Each agency has an agency_num, which is associated with multiple taxcodes in tax.tax_code. Taxcode is how PINs are associated with agencies; specifically, each PIN in tax.pin has one taxcode per year, so you can get the PINs for each agency by associating all PINs with the taxcodes for that agency.
For this first attempt, please identify the top PINs by the ones with the highest 2023 CCAO Mailed AV.
Data requested:
I'd like one row per PIN school district in 2023, such that each school district has 10 rows for the top 10 PINs. Columns:
agency name
agency_num
PIN rank (1 through 10)
PIN number
PIN class
PIN AV: CCAO mailed
PIN AV: CCAO final
PIN AV: BOR final
nice to have: EAV
2023 tax bill
taxcode cumulative rate
TIF district name, to know whether the PIN is in a TIF
SSA name, to know whether the PIN is in an SSA
Other ideas?
The text was updated successfully, but these errors were encountered:
Goal:
Produce a flat file of a list that identifies, per school taxing district in 2023, the top 10 most impactful PINs (i.e., the PINs with the largest AV).
Context:
There are two related Strategic Plan initiatives we can assist with: "Build support amongst taxing bodies to defend quality of assessments and intervene in appeals processes" and "Evaluate opportunities for the Assessor's Office to defend our values in the Board of Review appeals process". A list of top 10 most impactful properties might help these initiatives.
Universe:
Please identify school districts using the
tax
database; specifically, use all agencies intax.agency_info
, wheremajor_type = SCHOOL
. Each agency has anagency_num
, which is associated with multiple taxcodes intax.tax_code
. Taxcode is how PINs are associated with agencies; specifically, each PIN intax.pin
has onetaxcode
per year, so you can get the PINs for each agency by associating all PINs with thetaxcodes
for that agency.For this first attempt, please identify the top PINs by the ones with the highest 2023 CCAO Mailed AV.
Data requested:
I'd like one row per PIN school district in 2023, such that each school district has 10 rows for the top 10 PINs. Columns:
Other ideas?
The text was updated successfully, but these errors were encountered: