28 datasets found
  1. d

    Individuals, ZIP Code Data

    • catalog.data.gov
    • gimi9.com
    Updated Aug 22, 2024
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    Statistics of Income (SOI) (2024). Individuals, ZIP Code Data [Dataset]. https://catalog.data.gov/dataset/zip-code-data
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    Dataset updated
    Aug 22, 2024
    Dataset provided by
    Statistics of Income (SOI)
    Description

    This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

  2. a

    Median Household Income GIS

    • hub.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Median Household Income GIS [Dataset]. https://hub.arcgis.com/maps/sccphd::median-household-income-gis
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Table contains median household income for households residing in Santa Clara County. Data are presented at county, city, zip code and census tract level. Notes: Data are presented for zip codes (ZCTAs) fully within the county. Data are capped at $250,001 for geographies with median household income of $250,000 or higher. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B19013; data accessed on May 16, 2022 from https://api.census.gov. The 2020 Decennial geographies are used for data summarization.METADATA:notes (String): Lists table title, notes, sourcesgeolevel (String): Level of geographyGEOID (Numeric): Geography IDNAME (String): Name of geographymedHHinc (Numeric): Median household income

  3. i

    Richest Zip Codes in New Jersey

    • incomebyzipcode.com
    Updated Dec 18, 2024
    + more versions
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    Cubit Planning, Inc. (2024). Richest Zip Codes in New Jersey [Dataset]. https://www.incomebyzipcode.com/newjersey
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    New Jersey
    Description

    A dataset listing the richest zip codes in New Jersey per the most current US Census data, including information on rank and average income.

  4. a

    Zip Code

    • hub.arcgis.com
    Updated Sep 14, 2022
    + more versions
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    planstats_BCGIS (2022). Zip Code [Dataset]. https://hub.arcgis.com/datasets/109ce6682bbf4f15841367920b38e0a6
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    Dataset updated
    Sep 14, 2022
    Dataset authored and provided by
    planstats_BCGIS
    Area covered
    Description

    Reference Layer: Popular Demographics in the United States_This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer will not being continuously updated or maintained. Note: This data has been filtered from a national dataset: https://bcgis.maps.arcgis.com/home/item.html?id=2718975e52e24286acf8c3882b7ceb18 to only show Broward County Statistics

  5. h

    2017 Median Household Income in the United States

    • census.hcnj.us
    Updated Jan 24, 2018
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    City of X (2018). 2017 Median Household Income in the United States [Dataset]. https://census.hcnj.us/app/cityx::2017-median-household-income-in-the-united-states
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    Dataset updated
    Jan 24, 2018
    Dataset authored and provided by
    City of X
    Area covered
    Description

    This map shows the median household income in the U.S. in 2017 in a multiscale map by country, state, county, ZIP Code, tract, and block group. Median household income is estimated for 2017 in current dollars, including an adjustment for inflation or cost-of-living increases.The pop-up is configured to include the following information for each geography level:Median household incomeMedian household income by age of householderCount of households by income level (Householder age 15 to 24)Count of households by income level (Householder age 25 to 34)Count of households by income level (Householder age 35 to 44)Count of households by income level (Householder age 45 to 54)Count of households by income level (Householder age 55 to 64)Count of households by income level (Householder age 65 to 74)Count of households by income level (Householder age 75 plus)The data shown is from Esri's 2017 Updated Demographic estimates using Census 2010 geographies. The map adds increasing level of detail as you zoom in, from state, to county, to ZIP Code, to tract, to block group data. Esri's U.S. Updated Demographic (2017/2022) Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Data Note: The median household income value divides the distribution of household income into two equal parts. Pareto interpolation is used if the median falls in an income interval other than the first or last. For the lowest interval, <$10,000, linear interpolation is used. If the median falls in the upper income interval of $500,000+, it is represented by the value of $500,001.

  6. d

    Data from: Median Household Income

    • portal.datadrivendetroit.org
    • data.ferndalemi.gov
    • +2more
    Updated May 5, 2016
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    Data Driven Detroit (2016). Median Household Income [Dataset]. https://portal.datadrivendetroit.org/datasets/D3::median-household-income
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    Dataset updated
    May 5, 2016
    Dataset authored and provided by
    Data Driven Detroit
    License

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

    Area covered
    Earth
    Description

    These Socioeconomic Indicators are from the American Community Survey, 2014 5-year estimates. They are at Zip Code level for Oakland, Macomb and Wayne Counties.

  7. i

    Richest Zip Codes in North Carolina

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in North Carolina [Dataset]. https://www.incomebyzipcode.com/northcarolina
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    North Carolina
    Description

    A dataset listing the richest zip codes in North Carolina per the most current US Census data, including information on rank and average income.

  8. a

    Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy

    • uscssi.hub.arcgis.com
    Updated Nov 10, 2021
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    Spatial Sciences Institute (2021). Housing Affordability Index in the United States-Copy-Copy-Copy-Copy-Copy [Dataset]. https://uscssi.hub.arcgis.com/maps/799e364bc9ef4d1a8c1f725a71d280e4
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    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This map uses a two-color thematic shading to emphasize where areas experience the least to the most affordable housing across the US. This web map is part of the How Affordable is the American Dream story map.

    Esri’s Housing Affordability Index (HAI) is a powerful tool to analyze local real estate markets. Esri’s housing affordability index measures the financial ability of a typical household to purchase an existing home in an area. A HAI of 100 represents an area that on average has sufficient household income to qualify for a loan on a home valued at the median home price. An index greater than 100 suggests homes are easily afforded by the average area resident. A HAI less than 100 suggests that homes are less affordable. The housing affordability index is not applicable in areas with no households or in predominantly rental markets . Esri’s home value estimates cover owner-occupied homes only. For a full demographic analysis of US growth refer to Esri's Trending in 2017: The Selectivity of Growth.

    The pop-up is configured to show the following 2017 demographics for each County and ZIP Code:

    Total Households 2010-17 Annual Pop Change Median Age Percent Owner-Occupied Housing Units Median Household Income Median Home Value Housing Affordability Index Share of Income to Mortgage

  9. Low and Moderate Income Areas

    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). Low and Moderate Income Areas [Dataset]. https://catalog.data.gov/dataset/hud-low-and-moderate-income-areas
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.

  10. Personal Income Tax Statistics By Zip Code

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    csv, pdf
    Updated Apr 24, 2024
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    California Franchise Tax Board (2024). Personal Income Tax Statistics By Zip Code [Dataset]. https://data.ca.gov/dataset/personal-income-tax-statistics-by-zip-code
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    pdf(38561), csv(13311119)Available download formats
    Dataset updated
    Apr 24, 2024
    Dataset authored and provided by
    California Franchise Tax Boardhttp://ftb.ca.gov/
    License

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

    Description

    This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. This dataset contains data for taxable years 1992 to the most recent tax year available.

  11. i

    Richest Zip Codes in West Virginia

    • incomebyzipcode.com
    Updated Dec 18, 2024
    + more versions
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    Cubit Planning, Inc. (2024). Richest Zip Codes in West Virginia [Dataset]. https://www.incomebyzipcode.com/westvirginia
    Explore at:
    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    West Virginia
    Description

    A dataset listing the richest zip codes in West Virginia per the most current US Census data, including information on rank and average income.

  12. i

    Richest Zip Codes in Missouri

    • incomebyzipcode.com
    Updated Dec 18, 2024
    + more versions
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    Cubit Planning, Inc. (2024). Richest Zip Codes in Missouri [Dataset]. https://www.incomebyzipcode.com/missouri
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    Missouri
    Description

    A dataset listing the richest zip codes in Missouri per the most current US Census data, including information on rank and average income.

  13. Low-Income or Disadvantaged Communities Designated by California

    • data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Jun 11, 2025
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    California Energy Commission (2025). Low-Income or Disadvantaged Communities Designated by California [Dataset]. https://data.ca.gov/dataset/low-income-or-disadvantaged-communities-designated-by-california
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    zip, geojson, kml, csv, arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

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

    Area covered
    California
    Description

    This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.


    Data downloaded in May 2022 from https://webmaps.arb.ca.gov/PriorityPopulations/.

  14. Tapestry Segmentation in the United States

    • hub.arcgis.com
    • dorian-disasterresponse.opendata.arcgis.com
    Updated Jun 26, 2018
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    Esri (2018). Tapestry Segmentation in the United States [Dataset]. https://hub.arcgis.com/maps/7839dee4db4444b5ae1ae47dda55ff92
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    Dataset updated
    Jun 26, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map displays the dominant LifeMode Summary Group in the USA by country, state, county, ZIP Code, tract, and block group, based on Esri's Tapestry Segmentation system. The popup refers to state, county, ZIP Code, tract, and block group values depending on scale. Each popup is configured to display the following information within each geography level:Dominant Tapestry SegmentLink to more information about the predominant Tapestry SegmentTotal populationMedian age (Median Age web map)Diversity Index (Diversity Index web map)Median household income (Median Household Income web map)Median disposable income (Median Disposable Income web map)Count of households by Tapestry LifeMode Summary GroupCount of population by race/ethnicityLink to more information about Esri's DemographicsPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  15. Popular Demographics in the United States (2018)

    • sdgs.amerigeoss.org
    • hub.arcgis.com
    Updated Jun 4, 2018
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    Esri (2018). Popular Demographics in the United States (2018) [Dataset]. https://sdgs.amerigeoss.org/maps/2718975e52e24286acf8c3882b7ceb18
    Explore at:
    Dataset updated
    Jun 4, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer is no longer being actively maintained. Please see the Esri Updated Demographics Variables 2023 layer for more recent data and additional variables.This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer is not being continuously updated or maintained.

  16. c

    Popular Demographics in the United States - Tract

    • hub.scag.ca.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 3, 2022
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    rdpgisadmin (2022). Popular Demographics in the United States - Tract [Dataset]. https://hub.scag.ca.gov/datasets/f1dad8891d614fc0bd792b4df96a2194
    Explore at:
    Dataset updated
    Feb 3, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. This data is featured on the Mapping page of www.esri.com

  17. d

    INCOME Total and Mean and Median Household Income in 1999 CTs 2000.

    • datadiscoverystudio.org
    html, xml, zip
    Updated Jun 25, 2014
    + more versions
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    (2014). INCOME Total and Mean and Median Household Income in 1999 CTs 2000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/09cb7c380eef4d6990a9219d87f54533/html
    Explore at:
    html, xml, zipAvailable download formats
    Dataset updated
    Jun 25, 2014
    Description

    description: TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.; abstract: TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  18. Average Household Income in the United States

    • dbechard-open-data-gisanddata.hub.arcgis.com
    Updated Jun 26, 2018
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    Esri (2018). Average Household Income in the United States [Dataset]. https://dbechard-open-data-gisanddata.hub.arcgis.com/datasets/esri::average-household-income-in-the-united-states
    Explore at:
    Dataset updated
    Jun 26, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of June 2023 and will be retired in December 2025. This map shows the average household income in the U.S. in 2022 in a multiscale map by country, state, county, ZIP Code, tract, and block group. Information for the average household income is an estimate of income for calendar year 2022. Income amounts are expressed in current dollars, including an adjustment for inflation or cost-of-living increases.The pop-up is configured to include the following information for each geography level:Average household incomeMedian household incomeCount of households by income groupAverage household income by householder age groupPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  19. a

    Popular Demographics in the United States - Broward County

    • broward-county-demographics-bcgis.hub.arcgis.com
    Updated Sep 14, 2022
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    planstats_BCGIS (2022). Popular Demographics in the United States - Broward County [Dataset]. https://broward-county-demographics-bcgis.hub.arcgis.com/maps/109ce6682bbf4f15841367920b38e0a6
    Explore at:
    Dataset updated
    Sep 14, 2022
    Dataset authored and provided by
    planstats_BCGIS
    Area covered
    Description

    Reference Layer: Popular Demographics in the United States_This feature layer provides Esri 2018 demographic estimates for popular variables including: 2018 Total Population, 2018 Household Population, 2018 Median Age, 2018 Median Household Income, 2018 Per Capita Income, 2018 Diversity Index and many more. Data is available from country, state, county, ZIP Code, tract, and block group level with adjustable scale visibility. It is intended as a sample feature service to demonstrate smart mapping capabilities with Esri's Demographic data. Example feature views and web maps built from this layer include:Predominant Generations in the United StatesUnemployment in the United StatesMedian Home Value and IncomePopulation Growth or Decline?For more information, visit the Updated Demographics documentation. For a full list of variables, click the Data tab. Note: This layer will not being continuously updated or maintained. Note: This data has been filtered from a national dataset: https://bcgis.maps.arcgis.com/home/item.html?id=2718975e52e24286acf8c3882b7ceb18 to only show Broward County Statistics

  20. a

    Cook County Digital Equity Score Zip Code

    • hub-cookcountyil.opendata.arcgis.com
    • hub.arcgis.com
    Updated Oct 1, 2023
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    Cook County Government (2023). Cook County Digital Equity Score Zip Code [Dataset]. https://hub-cookcountyil.opendata.arcgis.com/datasets/cook-county-digital-equity-score-zip-code
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    Dataset updated
    Oct 1, 2023
    Dataset authored and provided by
    Cook County Government
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The "Cook County Digital Equity Score by Zip Code" dataset provides comprehensive data on the digital equity score and supporting demographic information (ACS 2021 5-Year Estimates) for various zip codes in Cook County, IL. The dataset includes the Digital Equity Score, which measures the extent to which socioeconomic conditions hinder or enable access to broadband internet in each Zip Code. This score ranges from 0 to 100, where 0 indicates zip codes facing significant barriers to broadband access, while 100 represents zip codes with favorable conditions for broadband availability. Additionally, the dataset offers detailed demographic information, such as median household income, housing cost burdened households, household internet status, device availability, and minority status. These demographic variables shed light on the factors influencing digital equity and provide valuable insights into the relationship between socioeconomic conditions and broadband access within specific zip codes in Cook County.

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Statistics of Income (SOI) (2024). Individuals, ZIP Code Data [Dataset]. https://catalog.data.gov/dataset/zip-code-data

Individuals, ZIP Code Data

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 22, 2024
Dataset provided by
Statistics of Income (SOI)
Description

This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.

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