100+ datasets found
  1. a

    US Census Data & Demographic Insights - Free Dataset

    • aterio.io
    csv
    Updated May 7, 2024
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    Aterio (2024). US Census Data & Demographic Insights - Free Dataset [Dataset]. https://www.aterio.io/datasets/dts_census_data_aterio_insights_zipcode
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    csvAvailable download formats
    Dataset updated
    May 7, 2024
    Dataset provided by
    Aterio
    License

    https://www.aterio.io/terms-of-servicehttps://www.aterio.io/terms-of-service

    Time period covered
    Jan 1, 2010 - Dec 31, 2030
    Area covered
    United States
    Description

    Explore Demographic Insights and Forecasts for Every Zip Code: Historical, Current, and Future Trends.

  2. a

    Maryland Census Data - ZIP Code Tabulation Areas (ZCTAs)

    • hub.arcgis.com
    • data.imap.maryland.gov
    • +1more
    Updated Feb 9, 2016
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    ArcGIS Online for Maryland (2016). Maryland Census Data - ZIP Code Tabulation Areas (ZCTAs) [Dataset]. https://hub.arcgis.com/datasets/eb706b48117b43d482c63d02017fc3ff
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    Dataset updated
    Feb 9, 2016
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    The units of geography used for the 2010 Census maps displayed here are the Zip Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal zip codes. The data collected on the short form survey are general demographic characteristics such as age, race, ethnicity, household relationship, housing vacancy and tenure (owner/renter).This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Demographics/MD_CensusData/FeatureServer/1

  3. w

    2010 Census Populations by Zip Code

    • data.wu.ac.at
    • data.lacity.org
    • +2more
    csv, json, rdf, xml
    Updated Nov 30, 2016
    + more versions
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    City of Los Angeles (2016). 2010 Census Populations by Zip Code [Dataset]. https://data.wu.ac.at/schema/data_gov/Y2VmMGMxNWEtZWM5Ny00NDJiLTkzNmYtN2FkNTk0MjhmYjZj
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    json, csv, rdf, xmlAvailable download formats
    Dataset updated
    Nov 30, 2016
    Dataset provided by
    City of Los Angeles
    Description

    This data comes from the 2010 Census Profile of General Population and Housing Characteristics. Zip codes are limited to those that fall at least partially within LA city boundaries. The dataset will be updated after the next census in 2020. To view all possible columns and access the data directly, visit http://factfinder.census.gov/faces/affhelp/jsf/pages/metadata.xhtml?lang=en&type=table&id=table.en.DEC_10_SF1_SF1DP1#main_content.

  4. Census Data by Zip Code 2010-2014 Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Census Data by Zip Code 2010-2014 Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/census-data-by-zip-code-2010-2014-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package has the purpose to offer data for demographic indicators, part of 5-years American Community Census, that could be needed in the analysis made along with health-related data or alone. The American Community Survey based on 5-years estimates is, according to U.S Census Bureau, the most reliable, because the samples used are the largest and the data collected cover all country areas, regardless of the population number.

  5. o

    National Neighborhood Data Archive (NaNDA): Socioeconomic Status and...

    • openicpsr.org
    Updated Feb 25, 2020
    + more versions
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    Robert Melendez; Philippa Clarke; Anam Khan; Iris Gomez-Lopez; Mao Li; Megan Chenoweth (2020). National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of ZIP Code Tabulation Areas, United States, 2008-2017 [Dataset]. http://doi.org/10.3886/E120462V1
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    Dataset updated
    Feb 25, 2020
    Dataset provided by
    University of Michigan. Institute for Social Research
    Authors
    Robert Melendez; Philippa Clarke; Anam Khan; Iris Gomez-Lopez; Mao Li; Megan Chenoweth
    License

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

    Time period covered
    2008 - 2017
    Area covered
    United States
    Description

    This dataset contains measures of socioeconomic and demographic characteristics by US ZIP code tabulation area (ZCTA) for the years 2008-2017. Example measures include population density; population distribution by race, ethnicity, age, and income; and proportion of population living below the poverty level, receiving public assistance, and female-headed families. The dataset also contains a set of index variables to represent neighborhood disadvantage and affluence.A curated version of this data is available through ICPSR at http://dx.doi.org/10.3886/ICPSR38528.v1.

  6. Demographic Statistics By Zip Code

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Demographic Statistics By Zip Code [Dataset]. https://www.johnsnowlabs.com/marketplace/demographic-statistics-by-zip-code/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    New York
    Description

    The Demographic Reports are produced by the Economic, Demographic and Statistical Research unit within the Countywide Service Integration and Planning Management (CSIPM) Division of the Fairfax County Department of Neighborhood and Community Services. Information produced by the Economic, Demographic and Statistical Research unit is used by every county department, board, authority and the Fairfax County Public Schools.

  7. d

    ZIP Code Population Weighted Centroids

    • catalog.data.gov
    Updated Mar 1, 2024
    + more versions
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    U.S. Department of Housing and Urban Development (2024). ZIP Code Population Weighted Centroids [Dataset]. https://catalog.data.gov/dataset/zip-code-population-weighted-centroids
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    U.S. Department of Housing and Urban Development
    Description

    This dataset denotes ZIP Code centroid locations weighted by population. Population weighted centroids are a common tool for spatial analysis, particularly when more granular data is unavailable or researchers lack sophisticated geocoding tools. The ZIP Code Population Weighted Centroids allows researchers and analysts to estimate the center of population in a given geography rather than the geometric center.

  8. T

    2020 Census Population by Age, Sex and Ethnicity by ZIP Code

    • opendata.sandag.org
    application/rdfxml +5
    Updated Feb 12, 2025
    + more versions
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    (2025). 2020 Census Population by Age, Sex and Ethnicity by ZIP Code [Dataset]. https://opendata.sandag.org/Census/2020-Census-Population-by-Age-Sex-and-Ethnicity-by/uc8f-n2n8
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    csv, application/rdfxml, xml, application/rssxml, json, tsvAvailable download formats
    Dataset updated
    Feb 12, 2025
    Description

    Population by Age, Sex and Ethnicity by U.S. Postal ZIP Code from the 2020 Decennial Census

  9. TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jan 27, 2024
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, Nation, U.S., 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-nation-u-s-2020-census-5-digit-zip-code-tabulation-area-zcta5
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Department of Commercehttp://commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  10. w

    MD iMAP: Maryland Census Data - ZIP Code Tabulation Areas (ZCTAs)

    • data.wu.ac.at
    • opendata.maryland.gov
    • +1more
    csv, json, xml
    Updated Jul 22, 2016
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    ArcGIS Online for Maryland (2016). MD iMAP: Maryland Census Data - ZIP Code Tabulation Areas (ZCTAs) [Dataset]. https://data.wu.ac.at/schema/data_maryland_gov/ZXRuaC00dmV2
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    xml, json, csvAvailable download formats
    Dataset updated
    Jul 22, 2016
    Dataset provided by
    ArcGIS Online for Maryland
    License

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

    Area covered
    Maryland
    Description

    This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The units of geography used for the 2010 Census maps displayed here are the Zip Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal zip codes. The data collected on the short form survey are general demographic characteristics such as age - race - ethnicity - household relationship - housing vacancy and tenure (owner/renter).Feature Service Link:http://geodata.md.gov/imap/rest/services/Demographics/MD_CensusData/FeatureServer/1 ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  11. A

    Demographic Statistics By Zip Code

    • data.amerigeoss.org
    • data.wu.ac.at
    csv, json, rdf, xml
    Updated Jul 28, 2019
    + more versions
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    United States[old] (2019). Demographic Statistics By Zip Code [Dataset]. https://data.amerigeoss.org/dataset/8a311c18-3060-438e-a8c7-9e37bcde6529
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    xml, json, rdf, csvAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Description

    Demographic statistics broken down by zip code

  12. c

    Census ZIP Code Tabulation Areas

    • resilience.climate.gov
    • geodata.colorado.gov
    Updated Jun 23, 2021
    + more versions
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    Esri U.S. Federal Datasets (2021). Census ZIP Code Tabulation Areas [Dataset]. https://resilience.climate.gov/maps/fedmaps::census-zip-code-tabulation-areas
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    Dataset updated
    Jun 23, 2021
    Dataset authored and provided by
    Esri U.S. Federal Datasets
    License

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

    Area covered
    Description

    Census ZIP Code Tabulation Areas This feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau, displays ZIP Code Tabulation Areas in the United States. Per the USCB, “ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery.” Tabulation Area: 90069 Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (ZIP Code Tabulation Areas) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 58 (Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current) OGC API Features Link: (Census ZIP Code Tabulation Areas - OGC Features) copy this link to embed it in OGC Compliant viewers For more information, please visit: ZIP Code Tabulation Areas (ZCTAs)For feedback please contact: Esri_US_Federal_Data@esri.comThumbnail source: Esri Basemaps NGDA Data Set This data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes." For other NGDA Content: Esri Federal Datasets

  13. g

    Canada Population by Zip Code - 2025 Demographics Data

    • geopostcodes.com
    csv
    Updated Dec 6, 2024
    + more versions
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    GeoPostcodes (2024). Canada Population by Zip Code - 2025 Demographics Data [Dataset]. https://www.geopostcodes.com/canada-population-by-zip-code/
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    csvAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Canada
    Description

    Our zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  14. a

    Racial Ethnic Distribution GIS

    • hub.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Racial Ethnic Distribution GIS [Dataset]. https://hub.arcgis.com/datasets/5e65134744994efea0b70edd04471435
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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 count and percent distribution of county residents by racial/ethnic categories. Data are summarized at county, city, zip code and census tract of residence. Data are presented for zip codes (ZCTAs) fully within the county. People of color category includes people who identify as Latino, African American, American Indian/Alaska Native, Asian, Pacific Islander, or multi-race. Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-year estimates, Table B03002; data accessed on April 11, 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 (String): Geography IDNAME (String): Name of geographyt_pop (Numeric): Total populationAfrican_American_NH (Numeric): Number of non-Hispanic African Americansp_African_American_NH (Numeric): Percent of non-Hispanic African AmericansAsian_NH (Numeric): Number of non-Hispanic Asiansp_Asian_NH (Numeric): Percent of non-Hispanic AsiansLatino (Numeric): Number of Latinosp_Latino (Numeric): Percent of LatinosWhite_NH (Numeric): Number of non-Hispanic Whitep_White_NH (Numeric): Percent of non-Hispanic Whitepeople_of_color2 (Numeric): Number of people of colorp_poc2 (Numeric): Percent of people of color

  15. Population Density GIS

    • data-sccphd.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Population Density GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/population-density-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 total population and population density summarized at county, city, zip code, and census tract level. Population density is defined as number of people residing per square mile of area. 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 B01001; data accessed on April 11, 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 (String): Geography IDNAME (String): Name of geographyt_pop (Numeric): Total populationpop_density (Numeric): Area in square milesarea (Numeric): Population density

  16. D

    HUD-USPS ZIP Crosswalk Files

    • datalumos.org
    Updated Feb 13, 2025
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    United States Department of Housing and Urban Development (2025). HUD-USPS ZIP Crosswalk Files [Dataset]. http://doi.org/10.3886/E219325V2
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    United States Department of Housing and Urban Development
    License

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

    Time period covered
    2010 - 2024
    Area covered
    United States of America
    Description

    One of the many challenges that social science researchers and practitioners face is the difficulty of relating United States Postal Service (USPS) ZIP codes to Census Bureau geographies. There are valuable data available only at the ZIP code level that, when combined with demographic data tabulated at various Census geography levels, could open up new avenues of exploration.While some acceptable methods of combining ZIP codes and Census geography exist, they have limitations. To provide additional avenues for merging these data, PD&R has released the HUD-USPS Crosswalk Files. These unique files are derived from data in the quarterly USPS Vacancy Data. They originate directly from the USPS; are updated quarterly, making them highly responsive to changes in ZIP code configurations; and reflect the locations of both business and residential addresses. The latter feature is of particular interest to housing researchers because many of the phenomena that they study are based on housing unit or address. By using an allocation method based on residential addresses rather than by area or by population, analysts can take into account not only the spatial distribution of population, but also the spatial distribution of residences. This enables a slightly more nuanced approach to allocating data between disparate geographies. Please note that the USPS Vacancy Data is constructed from ZIP+4 data that contains records of addresses, it does not contain ZIP+4 data that are associated with ZIP codes that exclusively serve Postal Office Boxes (PO Boxes). As a result, ZIP codes that only serve PO Boxes will not appear in the files.In addition to the crosswalk files, this dataset also includes screenshots of HUDs documentation and FAQ pages.Understanding ZIP Code Crosswalk FilesThough often used for mapping, spatial analysis, and data aggregation careful attention is required when interpreting ZIP Code data relative to other administrative geographies. The following article demonstrates how to more effectively use the U.S. Department of Housing and Urban Development (HUD) United States Postal Service ZIP Code Crosswalk Files when working with disparate geographies.Wilson, Ron and Din, Alexander, 2018. “Understanding and Enhancing the U.S. Department of Housing and Urban Development’s ZIP Code Crosswalk Files,” Cityscape: A Journal of Policy Development and Research, Volume 20 Number 2, 277 – 294. https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdfUsing a GIS to Geoprocess ZIP Code Crosswalk FilesThis article demonstrates how to use a GIS to process ZIP Code Crosswalk Files. In this article, calls for service from New York City's Open Data Portal are estimated at the county-level and census tract-level. This article also includes an accuracy analysis.Din, Alexander and Wilson, Ron, 2020. "Crosswalking ZIP Codes to Census Geographies: Geoprocessing the U.S. Department of Housing & Urban Development’s ZIP Code Crosswalk Files," Cityscape: A Journal of Policy Development and Research, Volume 22, Number 1, https://www.huduser.gov/portal/periodicals/cityscpe/vol22num1/ch12.pdf

  17. Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5)...

    • catalog.data.gov
    Updated Aug 9, 2025
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). Series Information for 2020 Census 5-Digit ZIP Code Tabulation Area (ZCTA5) National TIGER/Line Shapefiles, Current [Dataset]. https://catalog.data.gov/dataset/series-information-for-2020-census-5-digit-zip-code-tabulation-area-zcta5-national-tiger-line-s
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    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    This is a series-level metadata record. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Census Bureau creates to present statistical data for each decennial census. The Census Bureau delineates ZCTA boundaries for the United States, Puerto Rico, American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands once each decade following the decennial census. Data users should not use ZCTAs to identify the official USPS ZIP Code for mail delivery. The USPS makes periodic changes to ZIP Codes to support more efficient mail delivery. The Census Bureau uses tabulation blocks as the basis for defining each ZCTA. Tabulation blocks are assigned to a ZCTA based on the most frequently occurring ZIP Code for the addresses contained within that block. The most frequently occurring ZIP Code also becomes the five-digit numeric code of the ZCTA. These codes may contain leading zeros. Blocks that do not contain addresses but are surrounded by a single ZCTA (enclaves) are assigned to the surrounding ZCTA. Because the Census Bureau only uses the most frequently occurring ZIP Code to assign blocks, a ZCTA may not exist for every USPS ZIP Code. Some ZIP Codes may not have a matching ZCTA because too few addresses were associated with the specific ZIP Code or the ZIP Code was not the most frequently occurring ZIP Code within any of the blocks where it exists. The ZCTA boundaries in this release are those delineated following the 2020 Census.

  18. ZIP Code Boundaries

    • caliper.com
    cdf, dwg, dxf, gdb +9
    Updated Aug 24, 2022
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    Caliper Corporation (2022). ZIP Code Boundaries [Dataset]. https://www.caliper.com/mapping-software-data/zip-code-map-data.htm
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    sdo, geojson, dwg, postgis, sql server mssql, cdf, kmz, ntf, kml, shapefile, postgresql, dxf, gdbAvailable download formats
    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    Caliper Corporationhttp://www.caliper.com/
    License

    https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

    Time period covered
    2022
    Area covered
    United States
    Description

    5-Digit and 3-Digit ZIP Code data for Maptitude mapping software are from Caliper Corporation and contain boundaries and demographic data.

  19. s

    Census Zip Code Tabulation Area

    • opendata.suffolkcountyny.gov
    • data-uvalibrary.opendata.arcgis.com
    Updated Dec 8, 2020
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    Suffolk County GIS (2020). Census Zip Code Tabulation Area [Dataset]. https://opendata.suffolkcountyny.gov/datasets/census-zip-code-tabulation-area
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    Dataset updated
    Dec 8, 2020
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Area covered
    Description

    This feature class was created by exporting the Census Zip Code features from the 2020 TIGER/Line Geodatabase.TIGER Geodatabases are spatial extracts from the Census Bureau’s MAF/TIGER database. These files do not include demographic data, but they contain geographic entity codes that can be linked to the Census Bureau’s demographic data.

  20. Census of Population and Housing, 1980 [United States]: 1979 County and MCD...

    • icpsr.umich.edu
    ascii
    Updated Feb 16, 1992
    + more versions
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    United States. Bureau of the Census (1992). Census of Population and Housing, 1980 [United States]: 1979 County and MCD By Zip Code [Dataset]. http://doi.org/10.3886/ICPSR08051.v1
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    asciiAvailable download formats
    Dataset updated
    Feb 16, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8051/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8051/terms

    Time period covered
    1979
    Area covered
    United States
    Description

    This data collection relates ZIP codes to counties, to standard metropolitan statistical areas (SMSAs), and, in New England, to minor civil divisions (MCDs). The relationships between ZIP codes and other geographical units are based on 1979 boundaries, and changes since that time are not reflected. The Census Bureau used various sources to determine ZIP code-county or ZIP code-MCD relationships. In the cases where the sources were confusing or contradictory as to the geographical boundaries of a ZIP code, multiple ZIP-code records (each representing the territory contained in that ZIP-code area) were included in the data file. As a result, the file tends to overstate the ZIP code-county or ZIP code-MCD crossovers. The file is organized by ZIP code and is a byproduct of data used to administer the 1980 Census. Variables include ZIP codes, post office names, FIPS state and county codes, county or MCD names, and SMSA codes.

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Aterio (2024). US Census Data & Demographic Insights - Free Dataset [Dataset]. https://www.aterio.io/datasets/dts_census_data_aterio_insights_zipcode

US Census Data & Demographic Insights - Free Dataset

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csvAvailable download formats
Dataset updated
May 7, 2024
Dataset provided by
Aterio
License

https://www.aterio.io/terms-of-servicehttps://www.aterio.io/terms-of-service

Time period covered
Jan 1, 2010 - Dec 31, 2030
Area covered
United States
Description

Explore Demographic Insights and Forecasts for Every Zip Code: Historical, Current, and Future Trends.

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