9 datasets found
  1. c

    San Francisco Sales Tax by Census Block (2018 - 2023)

    • s.cnmilf.com
    • data.sfgov.org
    • +1more
    Updated Mar 29, 2025
    + more versions
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    data.sfgov.org (2025). San Francisco Sales Tax by Census Block (2018 - 2023) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/san-francisco-sales-tax-by-census-block-2018-2023
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Area covered
    San Francisco
    Description

    A. SUMMARY This dataset contains sales tax collected in San Francisco for calendar years 2018 through 2023 (CY 2018 to 2023). Sales tax is aggregated, or summed, at the census block level. However, some census blocks have been combined to maintain the anonymity of businesses based on Taxation Code Section 7056. See “How to use this dataset” below for more details on how the data has been aggregated. Sales tax is collected by businesses on many types of transactions and regulated by the California Department of Tax and Fee Administration. B. HOW THE DATASET IS CREATED Data is collected by HDL. The data is then aggregated based on the criteria outlined in the "How to use this dataset" section. C. UPDATE PROCESS This dataset will be updated annually. D. HOW TO USE THIS DATASET This dataset can be used to analyze sales tax data over time across census blocks in San Francisco. Due to data privacy protection regulations for businesses, sales tax data is not available for all census blocks. Census blocks where there are less than 4 businesses paying sales tax or a single business that pays 80% or more of the total sales tax have been combined with neighboring Census Blocks to protect the confidentiality of affected businesses. Because of this aggregation, some Census Block groups in this dataset may change in future years as the number of businesses in a particular Census Block changes. The historical data changes based on audit findings and amended returns. If census block groupings change, it will happen when the dataset is updated - on an annual basis. These new blocks will be backfilled to previous years. Additionally, business payers with multiple locations (for example chain stores) are excluded because sales tax cannot be tied back to the _location where it was collected. Finally, census blocks in the area field are from 2010 (GEOID10) and not from 2020. A map of this dataset can be viewed here.

  2. Uninsured Population Census Data CY 2009-2014 Human Services

    • data.pa.gov
    application/rdfxml +5
    Updated Jul 25, 2018
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    Small Area Health Insurance Estimates Program, U.S. Census Bureau (2018). Uninsured Population Census Data CY 2009-2014 Human Services [Dataset]. https://data.pa.gov/Human-Services/Uninsured-Population-Census-Data-CY-2009-2014-Huma/s782-mpqp
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    tsv, csv, json, application/rssxml, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 25, 2018
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Small Area Health Insurance Estimates Program, U.S. Census Bureau
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions

    The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties.

    For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64

    •3 sex categories: both sexes, male, and female

    •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold

    •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race).

    In addition, estimates for age category 0-18 by the income categories listed above are published.

    Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured.

    This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges.

    We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response.

    The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010

    Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.

  3. M

    Transportation Analysis Zones (TAZ) 1990 - 2000

    • gisdata.mn.gov
    ags_mapserver, fgdb +4
    Updated Mar 27, 2021
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    Metropolitan Council (2021). Transportation Analysis Zones (TAZ) 1990 - 2000 [Dataset]. https://gisdata.mn.gov/dataset/us-mn-state-metc-trans-anlys-zones1990-2000
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    ags_mapserver, html, shp, jpeg, gpkg, fgdbAvailable download formats
    Dataset updated
    Mar 27, 2021
    Dataset provided by
    Metropolitan Council
    Description

    Transportation analysis zones are subdivisions of geographical areas that are delineated for travel analysis and modeling purposes. They were initially created by the Minnesota Department of Transportation. The seven county Twin Cities region is divided into 1165 zones.

    In most cases TAZ boundaries align with Census block boundaries. Population and household data comes from the 1990 and 2000 Census and is aggregated to each TAZ. Employement data comes from the Minnesota Department of Economic Security and is also aggregated to each TAZ.

    Please note that as of early 2004, this set of TAZs was no longer being used for travel demand modeling, socioeconomic forecasts and community comprehensive plan development. See contact person in Section 1 of this metadata for more information.

    This dataset includes attributes from both 1990 and 2000 (see Section 5 for more information).

    Notes:
    - Residential and Employment density calculations are considered to be general numbers for trend analysis metro wide. Due to limitations in the positional accuracy of TAZ boundaries and generalized land use interpretation methods, it would be inappropriate to rely on the density figures to be an accurate reflection of the employment or residential density in any given TAZ. Also, the density relates to that part of the TAZ with the given type of land use, and not the TAZ as a whole.
    - In August of 2003, attributes for 2000 were added to the 1990 TAZ dataset to create this dataset.
    - The TAZ dataset that existed prior to August, 2003 (for 1990 only) was found to have some inaccuracies in some of the residential and employment density values. They have been corrected in this dataset.
    - On 12/29/2000 the boundaries of TAZs 629, 632 & 633 were corrected.
    - TAZ boundaries that are coincident with county and municipal boundaries do not match the more accurate county and municipal boundary layer used by the Metropolitan Council.
    - These 1990 TAZ boundaries have significant positional differences when compared to the 2000 boundaries of the same TAZes.

  4. Difficult Development Areas

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Sep 13, 2022
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    Esri U.S. Federal Datasets (2022). Difficult Development Areas [Dataset]. https://hub.arcgis.com/maps/fedmaps::difficult-development-areas
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    Dataset updated
    Sep 13, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Difficult Development AreasThis U.S. Department of Housing and Urban Development feature layer depicts Difficult Development Areas in the United States. Per HUD, "Difficult Development Areas (DDA) are areas with high land, construction and utility costs relative to the area median income and are based on Fair Market Rents, income limits, the 2010 census counts, and 5-year American Community Survey (ACS) data." All DDA's in Metropolitan Statistical Areas (MSA) and Primary Metropolitan Statistical Areas (PMSA) may not contain more than 20% of the aggregate population of all MSA's/PMSA's, and all designated areas not in metropolitan areas may not contain more than 20% of the aggregate population of the non-metropolitan counties.Baltimore/Columbia/Towson Small Area DDAData currency: Current Federal ServiceData modification: NoneFor more information: Housing and Urban Development; Qualified Census Tracts and Difficult Development AreasFor feedback, please contact: ArcGIScomNationalMaps@esri.comDepartment of Housing and Urban DevelopmentPer HUD, "The Department of Housing and Urban Development administers programs that provide housing and community development assistance. The Department also works to ensure fair and equal housing opportunity for all."

  5. D

    SOI Tax Stats - U.S. Population State and County Migration Data (1990-2016)

    • datalumos.org
    • dev.datalumos.org
    delimited
    Updated Mar 2, 2018
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    Internal Revenue Service (IRS) (2018). SOI Tax Stats - U.S. Population State and County Migration Data (1990-2016) [Dataset]. http://doi.org/10.3886/E101745V3
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    delimitedAvailable download formats
    Dataset updated
    Mar 2, 2018
    Dataset authored and provided by
    Internal Revenue Service (IRS)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1990 - 2016
    Area covered
    United States
    Description

    The IRS Statistics of Income Division (SOI), in collaboration with the U.S. Census Bureau, has released migration data for the United States for several decades. These data are an important source of information detailing the movement of individuals from one location to another. SOI bases these data on year-to-year address changes reported on individual income tax returns filed with the IRS. They present migration patterns by State or by county for the entire United States and are available for inflows—the number of new residents who moved to a State or county and where they migrated from, and outflows—the number of residents leaving a State or county and where they went. The data are available for Filing Years 1991 through 2016 and include:

    • Number of returns filed, which approximates the number of households that migrated
    • Number of personal exemptions claimed, which approximates the number of individuals
    • Total adjusted gross income, starting with Filing Year 1995
    • Aggregate migration flows at the State level, by the size of adjusted gross income (AGI) and age of the primary taxpayer, starting with Filing Year 2011.

  6. a

    real estate tax balances council district

    • hub.arcgis.com
    • data-phl.opendata.arcgis.com
    Updated Jun 26, 2024
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    City of Philadelphia (2024). real estate tax balances council district [Dataset]. https://hub.arcgis.com/datasets/43cec2d1eb59476eb0c263e90ddfc805
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    City of Philadelphia
    Description

    View metadata for key information about this dataset.This dataset shows the number of Philadelphia real estate accounts with with tax balances, including accounts with overdue balances, those that are in payment agreements, and those with tax delinquencies. An overdue balance means a property owner owes a balance in the current tax year (March 31 - December 31) but it is not yet considered delinquent. Tax delinquencies are accounts with outstanding balances for previous tax years. A past due account becomes delinquent when the real estate tax is still unpaid on January 1 of the following year that the tax was due.This dataset is also available aggregated by census tract and also by zip code.For questions about this dataset, contact data.research@phila.gov. For technical assistance, email maps@phila.gov.

  7. a

    real estate tax balances zip code

    • hub.arcgis.com
    • data-phl.opendata.arcgis.com
    Updated Jun 26, 2024
    + more versions
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    City of Philadelphia (2024). real estate tax balances zip code [Dataset]. https://hub.arcgis.com/maps/phl::real-estate-tax-balances-zip-code
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    Dataset updated
    Jun 26, 2024
    Dataset authored and provided by
    City of Philadelphia
    Description

    View metadata for key information about this dataset.This dataset shows the number of Philadelphia real estate accounts with with tax balances, including accounts with overdue balances, those that are in payment agreements, and those with tax delinquencies. An overdue balance means a property owner owes a balance in the current tax year (March 31 - December 31) but it is not yet considered delinquent. Tax delinquencies are accounts with outstanding balances for previous tax years. A past due account becomes delinquent when the real estate tax is still unpaid on January 1 of the following year that the tax was due.This dataset is also available aggregated by census tract and also by council district.For questions about this dataset, contact data.research@phila.gov. For technical assistance, email maps@phila.gov.

  8. a

    Los Angeles Index of Neighborhood Change

    • remakela-lahub.opendata.arcgis.com
    • visionzero.geohub.lacity.org
    • +3more
    Updated Oct 13, 2016
    + more versions
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    DataLA (2016). Los Angeles Index of Neighborhood Change [Dataset]. https://remakela-lahub.opendata.arcgis.com/datasets/los-angeles-index-of-neighborhood-change
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    Dataset updated
    Oct 13, 2016
    Dataset authored and provided by
    DataLA
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Los Angeles Index of Neighborhood Change is a tool that allows users to explore the extent to which Los Angeles Zip Codes have undergone demographic change from 2000 to 2014. Created in 2015/2016, the data comes from 2000, 2005, 2013, and 2014. Please read details about each measure for exact years.Index scores are an aggregate of six demographic measures indicative of gentrification. The measures are standardized and combined using weights that reflect the proportion of each measure that is statistically significant.Measure 1: Percent change in low/high IRS filer ratio. For the purposes of this measure, High Income = >$75K Adjust Gross Income tax filer and Low Income = <$25k filers who also received an earned income tax credit. Years Compared for Measure 1: 2005 and 2013 | Source: IRS Income Tax Return DataMeasure 2: Change in percent of residents 25 years or older with Bachelor's Degrees or HigherMeasure 3: Change in percent of White, non-Hispanic/Latino residentsMeasure 4: Percent change in median household income (2000 income is adjusted to 2014 dollars)Measure 5: % Change in median gross rent (2000 rent is adjusted to 2013/2014 dollars)Measure 6: Percent change in average household size Year Compared for Measures 2-5: 2000 and 2014, Measure 6: 2013Sources: Decennial Census, 2000 | American Community Survey (5-Year Estimate, 2009-2013; 2010; 2014)Date Updated: December 13, 2016Refresh Rate: Never - Historical data

  9. a

    Income of individuals, households and economic families, Low income for the...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Feb 6, 2023
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    jadonvs_McMaster (2023). Income of individuals, households and economic families, Low income for the Population 15 Years and Over of Canada, Hamilton CSD, Census 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/9a0218ed542143548857c3e16d455229
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    Dataset updated
    Feb 6, 2023
    Dataset authored and provided by
    jadonvs_McMaster
    Description

    Notes Continued: 11: Total income - The sum of certain incomes (in cash and in some circumstances in kind) of the statistical unit during a specified reference period. The components used to calculate total income vary between: *statistical units of social statistical programs such as persons private households census families and economic families; *statistical units of business statistical programs such as enterprises companies establishments and locations; *statistical units of farm statistical programs such as farm operator and farm family. In the context of persons total income refers to receipts from certain sources before income taxes and deductions during a specified reference period. In the context of census families total income refers to receipts from certain sources of all of its family members before income taxes and deductions during a specified reference period. In the context of economic families total income refers to receipts from certain sources of all of its family members before income taxes and deductions during a specified reference period. In the context of households total income refers to receipts from certain sources of all household members before income taxes and deductions during a specified reference period. The monetary receipts included are those that tend to be of a regular and recurring nature. Receipts that are included as income are: *employment income from wages salaries tips commissions and net income from self-employment (for both unincorporated farm and non-farm activities); *income from investment sources such as dividends and interest on bonds accounts guaranteed investment certificates (GICs) and mutual funds; *income from employer and personal pension sources such as private pensions and payments from annuities and registered retirement income funds (RRIFs); *other regular cash income such as child support payments received spousal support payments (alimony) received and scholarships; * income from government sources such as social assistance child benefits Employment Insurance benefits Old Age Security benefits COVID-19 benefits and Canada Pension Plan and Québec Pension Plan benefits and disability income. Receipts excluded from this income definition are: *one-time receipts such as lottery winnings gambling winnings cash inheritances lump-sum insurance settlements and tax-free savings account (TFSA) or registered retirement savings plan (RRSP) withdrawals; *capital gains because they are not by their nature regular and recurring. It is further assumed that they are more relevant to the concept of wealth than the concept of income; *employers' contributions to registered pension plans Canada Pension Plan Québec Pension Plan and Employment Insurance; *voluntary inter-household transfers imputed rent goods and services produced for barter and goods produced for own consumption. After-tax income - Total income less income taxes of the statistical unit during a specified reference period. Income taxes refers to the sum of federal income taxes provincial and territorial income taxes less abatement where applicable. Provincial and territorial income taxes include health care premiums in certain jurisdictions. Abatement reduces the federal income taxes payable by persons residing in Quebec or in certain self-governing Yukon First Nation settlement lands. Market income - The sum of employment income (wages salaries and commissions net self-employment income from farm or non-farm unincorporated business and/or professional practice) investment income private retirement income (retirement pensions superannuation and annuities including those from registered retirement savings plans [RRSPs] and registered retirement income funds [RRIFs]) and other money income from market sources during the reference period. It is equivalent to total income minus government transfers. It is also referred to as income before transfers and taxes. Government transfers - All cash benefits received from federal provincial territorial or municipal governments during the reference period. It includes: *Old Age Security pension Guaranteed Income Supplement Allowance or Allowance for the Survivor; *retirement disability and survivor benefits from Canada Pension Plan and Québec Pension Plan; *benefits from Employment Insurance and Québec parental insurance plan; *child benefits from federal and provincial programs; *social assistance benefits; *workers' compensation benefits; *Canada workers benefit (CWB); *Goods and services tax credit and harmonized sales tax credit; *other income from government sources. For the 2021 Census this includes various benefits from new and existing federal provincial and territorial government income programs intended to provide financial support to individuals affected by the COVID-19 pandemic and the public health measures implemented to minimize the spread of the virus. Employment income - All income received as wages salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. Average income of a specified group is calculated by dividing the aggregate income of that group by the number of units in that group. Average incomes of individuals are calculated for those with income (positive or negative). 12: Employment income - All income received as wages salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. 13: Full-year full-time workers - Persons aged 15 years and over who worked mostly full time (30 hours or more per week) and full year (49 weeks and over per year) in 2020. For more information see variable work activity in 2020 Dictionary Census of Population 2021. 14: Median income - The median income of a specified group is the amount that divides the income distribution of that group into two halves i.e. the incomes of half of the units in that group are below the median while those of the other half are above the median. Median incomes of individuals are calculated for those with income (positive or negative). 15: Average income - Average income of a specified group is calculated by dividing the aggregate income of that group by the number of units in that group. Average incomes of individuals are calculated for those with income (positive or negative). 16: Part year or part time workers - Persons aged 15 years and over who worked mostly part time (less than 30 hours per week) or 48 weeks or less during 2020. For more information see variable work activity in 2020 Dictionary Census of Population 2021. 17: Composition of total income - The composition of the total income of a population group or a geographic area refers to the relative share of each income source or group of sources expressed as a percentage of the aggregate total income of that group or area. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. 18: Market income - The sum of employment income (wages salaries and commissions net self-employment income from farm or non-farm unincorporated business and/or professional practice) investment income private retirement income (retirement pensions superannuation and annuities including those from registered retirement savings plans [RRSPs] and registered retirement income funds [RRIFs]) and other money income from market sources during the reference period. It is equivalent to total income minus government transfers. It is also referred to as income before transfers and taxes. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. 19: Employment income - All income received as wages salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. 20: Government transfers - All cash benefits received from federal provincial territorial or municipal governments during the reference period. It includes: *Old Age Security pension Guaranteed Income Supplement Allowance or Allowance for the Survivor; *retirement disability and survivor benefits from Canada Pension Plan and Québec Pension Plan; *benefits from Employment Insurance and Québec parental insurance plan; *child benefits from federal and provincial programs; *social assistance benefits; *workers' compensation benefits; *Canada workers benefit (CWB); *Goods and services tax credit and harmonized sales tax credit; *other income from government sources. For the 2021 Census this includes various benefits from new and existing federal provincial and territorial government income programs intended to provide financial support to individuals affected by the COVID-19 pandemic and the public health measures implemented to minimize the spread of the virus. For the 2021 Census the reference period for income data is the calendar year 2020 unless otherwise specified. 21: Total income -

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data.sfgov.org (2025). San Francisco Sales Tax by Census Block (2018 - 2023) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/san-francisco-sales-tax-by-census-block-2018-2023

San Francisco Sales Tax by Census Block (2018 - 2023)

Explore at:
Dataset updated
Mar 29, 2025
Dataset provided by
data.sfgov.org
Area covered
San Francisco
Description

A. SUMMARY This dataset contains sales tax collected in San Francisco for calendar years 2018 through 2023 (CY 2018 to 2023). Sales tax is aggregated, or summed, at the census block level. However, some census blocks have been combined to maintain the anonymity of businesses based on Taxation Code Section 7056. See “How to use this dataset” below for more details on how the data has been aggregated. Sales tax is collected by businesses on many types of transactions and regulated by the California Department of Tax and Fee Administration. B. HOW THE DATASET IS CREATED Data is collected by HDL. The data is then aggregated based on the criteria outlined in the "How to use this dataset" section. C. UPDATE PROCESS This dataset will be updated annually. D. HOW TO USE THIS DATASET This dataset can be used to analyze sales tax data over time across census blocks in San Francisco. Due to data privacy protection regulations for businesses, sales tax data is not available for all census blocks. Census blocks where there are less than 4 businesses paying sales tax or a single business that pays 80% or more of the total sales tax have been combined with neighboring Census Blocks to protect the confidentiality of affected businesses. Because of this aggregation, some Census Block groups in this dataset may change in future years as the number of businesses in a particular Census Block changes. The historical data changes based on audit findings and amended returns. If census block groupings change, it will happen when the dataset is updated - on an annual basis. These new blocks will be backfilled to previous years. Additionally, business payers with multiple locations (for example chain stores) are excluded because sales tax cannot be tied back to the _location where it was collected. Finally, census blocks in the area field are from 2010 (GEOID10) and not from 2020. A map of this dataset can be viewed here.

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