73 datasets found
  1. National Neighborhood Data Archive (NaNDA): Socioeconomic Status and...

    • icpsr.umich.edu
    • archive.icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jan 22, 2025
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    Clarke, Philippa; Melendez, Robert; Noppert, Grace; Chenoweth, Megan; Gypin, Lindsay (2025). National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts and ZIP Code Tabulation Areas, United States, 1990-2022 [Dataset]. http://doi.org/10.3886/ICPSR38528.v5
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    stata, delimited, sas, spss, r, asciiAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Clarke, Philippa; Melendez, Robert; Noppert, Grace; Chenoweth, Megan; Gypin, Lindsay
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38528/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38528/terms

    Time period covered
    1990 - 2022
    Area covered
    United States
    Description

    These datasets contain measures of socioeconomic and demographic characteristics by U.S. census tract for the years 1990-2022 and ZIP code tabulation area (ZCTA) for the years 2008-2022. Example measures include population density; population distribution by race, ethnicity, age, and income; income inequality by race and ethnicity; and proportion of population living below the poverty level, receiving public assistance, and female-headed or single parent families with kids. The datasets also contain a set of theoretically derived measures capturing neighborhood socioeconomic disadvantage and affluence, as well as a neighborhood index of Hispanic, foreign born, and limited English. The disadvantage variable was incorrectly calculated for the following datasets: DS7 Socioeconomic Status and Demographic Characteristics of Census Tracts (2020 Census), United States, 2018-2022 Data DS8 Socioeconomic Status and Demographic Characteristics of ZIP Code Tabulation Areas (2020 Census), United States, 2018-2022 Data Please refrain from downloading these datasets. The updated datasets are forthcoming and will be made available soon. Users needing these datasets can reach out to nanda-admin@umich.edu.

  2. Median Household Income GIS

    • data-sccphd.opendata.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Median Household Income GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/median-household-income-gis
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    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. F

    Median Household Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 9, 2025
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    (2025). Median Household Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEHOINUSA646N
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    jsonAvailable download formats
    Dataset updated
    Sep 9, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Household Income in the United States (MEHOINUSA646N) from 1984 to 2024 about households, median, income, and USA.

  4. Low and Moderate Income Areas

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 1, 2024
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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.

  5. i

    Richest Zip Codes in New York

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in New York [Dataset]. https://www.incomebyzipcode.com/newyork
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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 York
    Description

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

  6. T

    2000 Census Household Income by ZIP Code

    • opendata.sandag.org
    csv, xlsx, xml
    Updated Aug 13, 2024
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    (2024). 2000 Census Household Income by ZIP Code [Dataset]. https://opendata.sandag.org/w/8jdr-c3u5/default?cur=UVmOT0rJcB_
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Aug 13, 2024
    Description

    Households by Income Group by U.S. Postal ZIP Code from the 2000 Decennial Census

  7. Annual Household Income GIS

    • data-sccphd.opendata.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Annual Household Income GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/items/8c0b1b56a43b4538bc9b89e0b7f59411
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

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

    Description

    Table contains count and percentage of households with an annual household income of less than $100,000. Data are presented at county, city, zip code and census tract level. Data are presented for zip codes (ZCTAs) fully within the county. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B19001; 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 geographytotalHH (Numeric): Total householdslt100k (Numeric): Number of households with less than $100,000 annual incomepct_lt100k (Numeric): Percent of households with less than $100,000 annual income

  8. w

    INCOME Total and Mean and Median Household Income in 1999 COS 2000

    • data.wu.ac.at
    • s.cnmilf.com
    • +2more
    csv, excel, geojson +9
    Updated Jun 25, 2014
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    Earth Data Analysis Center, University of New Mexico (2014). INCOME Total and Mean and Median Household Income in 1999 COS 2000 [Dataset]. https://data.wu.ac.at/schema/data_gov/MzhhMjNjYzEtOTYxNC00Y2E5LWE4Y2MtY2NlYWJlY2NkYTFj
    Explore at:
    xml, json, wfs, gml, kml, wms, shp, html, zip, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 25, 2014
    Dataset provided by
    Earth Data Analysis Center, University of New Mexico
    Area covered
    e3dd1e303fc261bb773df01ba89585bfae129717
    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.

  9. f

    Geographical grouping (by ZIP code) of households within Davidson County...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
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    Dana M. Brantley-Sieders; Kang-Hsien Fan; Sandra L. Deming-Halverson; Yu Shyr; Rebecca S. Cook (2023). Geographical grouping (by ZIP code) of households within Davidson County according to median household income. [Dataset]. http://doi.org/10.1371/journal.pone.0045238.t006
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Dana M. Brantley-Sieders; Kang-Hsien Fan; Sandra L. Deming-Halverson; Yu Shyr; Rebecca S. Cook
    License

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

    Description

    Households within Davidson County (the greater metropolitan Nashville area) were grouped geographically according to ZIP code. The percentage of the metropolitan population residing within each ZIP code, and the median annual household income for each ZIP code was calculated based on data compiled by the U.S. Census Bureau (2006–2008 American Community Survey) for all ZIP codes within Davidson County.

  10. i

    Richest Zip Codes in United States Virgin Islands

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in United States Virgin Islands [Dataset]. https://www.incomebyzipcode.com/unitedstatesvirginislands
    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
    U.S. Virgin Islands
    Description

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

  11. d

    INCOME Percent Households by Income in 1999 BGs 2000

    • datasets.ai
    • s.cnmilf.com
    • +2more
    21, 55, 57
    Updated Dec 2, 2020
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    Earth Data Analysis Center, University of New Mexico (2020). INCOME Percent Households by Income in 1999 BGs 2000 [Dataset]. https://datasets.ai/datasets/income-percent-households-by-income-in-1999-bgs-2000
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    57, 21, 55Available download formats
    Dataset updated
    Dec 2, 2020
    Dataset authored and provided by
    Earth Data Analysis Center, University of New Mexico
    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.

  12. d

    Income to Poverty Ratios in Michigan by Zip Code Tabulation Area, 2013

    • catalog.data.gov
    • detroitdata.org
    • +4more
    Updated Feb 21, 2025
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    Data Driven Detroit (2025). Income to Poverty Ratios in Michigan by Zip Code Tabulation Area, 2013 [Dataset]. https://catalog.data.gov/dataset/income-to-poverty-ratios-in-michigan-by-zip-code-tabulation-area-2013-98859
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Data Driven Detroit
    Area covered
    Michigan
    Description

    This dataset contains information on the ratio of family income to the federal poverty level at the zip code tabulation area (ZCTA) level. Each column beginning with a "T_" lists the total number of families that fall into each income category. In addition, the dataset contains information on margins of error and the reliability of each estimate, to help guide decisionmakers in more effectively using the data contained in this file. There are approximately 1,000 records in this dataset. ZCTA boundaries are designed to approximate actual zip code boundaries, but are fixed to allow for consistent data analysis (whereas regular zip code boundaries change frequently). Field description metadata is available for download. For more information on poverty data from the Census Bureau, please visit American Factfinder (www.factfinder2.census.gov).

  13. INCOME Total and Mean and Median Household Income in 1999 BGs 2000

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). INCOME Total and Mean and Median Household Income in 1999 BGs 2000 [Dataset]. https://catalog.data.gov/dataset/income-total-and-mean-and-median-household-income-in-1999-bgs-2000
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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.

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

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). INCOME Total and Mean and Median Household Income in 1999 CTs 2000 [Dataset]. https://catalog.data.gov/dataset/income-total-and-mean-and-median-household-income-in-1999-cts-2000
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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.

  15. i

    Richest Zip Codes in North Carolina

    • incomebyzipcode.com
    Updated Dec 18, 2024
    + more versions
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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.

  16. z

    Median Gross Rent As A Percentage Of Household Income (Dollars)

    • zipatlas.com
    Updated Dec 18, 2023
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    Zip Atlas Inc (2023). Median Gross Rent As A Percentage Of Household Income (Dollars) [Dataset]. https://zipatlas.com/zip-code-database-premium.htm
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    Dataset updated
    Dec 18, 2023
    Dataset authored and provided by
    Zip Atlas Inc
    License

    https://zipatlas.com/zip-code-database-download.htm#licensehttps://zipatlas.com/zip-code-database-download.htm#license

    Description

    Median Gross Rent As A Percentage Of Household Income (Dollars) Report based on US Census and American Community Survey Data.

  17. z

    Gross Rent As A Percentage Of Household Income

    • zipatlas.com
    Updated Dec 18, 2023
    + more versions
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    Zip Atlas Inc (2023). Gross Rent As A Percentage Of Household Income [Dataset]. https://zipatlas.com/zip-code-database-premium.htm
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    Dataset updated
    Dec 18, 2023
    Dataset authored and provided by
    Zip Atlas Inc
    License

    https://zipatlas.com/zip-code-database-download.htm#licensehttps://zipatlas.com/zip-code-database-download.htm#license

    Description

    Gross Rent As A Percentage Of Household Income Report based on US Census and American Community Survey Data.

  18. INCOME Household Income in 1999 BGs 2000

    • s.cnmilf.com
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
    + more versions
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). INCOME Household Income in 1999 BGs 2000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/income-household-income-in-1999-bgs-2000
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    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.

  19. a

    Average Household Income in the United States-Copy

    • umn.hub.arcgis.com
    Updated Dec 10, 2022
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    University of Minnesota (2022). Average Household Income in the United States-Copy [Dataset]. https://umn.hub.arcgis.com/maps/87822c1c7dda498fbc04bb27ecc10942
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    Dataset updated
    Dec 10, 2022
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    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 groupThe data shown is from Esri's 2022 Updated Demographic estimates using Census 2020 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 (2022/2027) 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.Additional Esri Resources:Esri DemographicsU.S. 2022/2027 Esri Updated DemographicsEssential demographic vocabularyThis item is for visualization purposes only and cannot be exported or used in analysis.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

  20. b

    Data from: Median Household Income

    • data.baltimorecity.gov
    Updated Feb 27, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Median Household Income [Dataset]. https://data.baltimorecity.gov/maps/8613366cfbc7447a9efd9123604c65c1
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    Dataset updated
    Feb 27, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    Median household income is the middle value of the incomes earned in the prior year by households in an area. Income and earnings are inflation-adjusted for the last year of the 5-year period. The median value is used as opposed to the average so that both extremely high and extremely low prices do not distort the total amount of income earned by households in an area. Source: American Community SurveyYears Available: 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

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Clarke, Philippa; Melendez, Robert; Noppert, Grace; Chenoweth, Megan; Gypin, Lindsay (2025). National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts and ZIP Code Tabulation Areas, United States, 1990-2022 [Dataset]. http://doi.org/10.3886/ICPSR38528.v5
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National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts and ZIP Code Tabulation Areas, United States, 1990-2022

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2 scholarly articles cite this dataset (View in Google Scholar)
stata, delimited, sas, spss, r, asciiAvailable download formats
Dataset updated
Jan 22, 2025
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Clarke, Philippa; Melendez, Robert; Noppert, Grace; Chenoweth, Megan; Gypin, Lindsay
License

https://www.icpsr.umich.edu/web/ICPSR/studies/38528/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38528/terms

Time period covered
1990 - 2022
Area covered
United States
Description

These datasets contain measures of socioeconomic and demographic characteristics by U.S. census tract for the years 1990-2022 and ZIP code tabulation area (ZCTA) for the years 2008-2022. Example measures include population density; population distribution by race, ethnicity, age, and income; income inequality by race and ethnicity; and proportion of population living below the poverty level, receiving public assistance, and female-headed or single parent families with kids. The datasets also contain a set of theoretically derived measures capturing neighborhood socioeconomic disadvantage and affluence, as well as a neighborhood index of Hispanic, foreign born, and limited English. The disadvantage variable was incorrectly calculated for the following datasets: DS7 Socioeconomic Status and Demographic Characteristics of Census Tracts (2020 Census), United States, 2018-2022 Data DS8 Socioeconomic Status and Demographic Characteristics of ZIP Code Tabulation Areas (2020 Census), United States, 2018-2022 Data Please refrain from downloading these datasets. The updated datasets are forthcoming and will be made available soon. Users needing these datasets can reach out to nanda-admin@umich.edu.

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