100+ datasets found
  1. o

    Zip Codes 5 digits - United States of America

    • public.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 6, 2024
    + more versions
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    (2024). Zip Codes 5 digits - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-zcta5/
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    excel, geojson, json, csvAvailable download formats
    Dataset updated
    Jun 6, 2024
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft.This dataset contains data for zip codes 5 digits in United States of America.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.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Add administrative hierarchy.

  2. 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.

  3. g

    Boundaries: US Zip Codes

    • gimi9.com
    • data.austintexas.gov
    • +2more
    + more versions
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    Boundaries: US Zip Codes [Dataset]. https://gimi9.com/dataset/data-gov_boundaries-us-zip-codes/
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    Description

    Austin's Communications & Technology Management Department is pleased to provide this zip code dataset for general use, designed to support a variety of research and analysis needs. Please note that while we facilitate access to this data, the dataset is owned and produced by the United States Postal Service (USPS). Users are encouraged to acknowledge USPS as the source when utilizing this dataset in their work. U.S. ZIP Code Areas (Five-Digit) represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

  4. s

    US Zip Codes Points- United States of America

    • data.smartidf.services
    • public.opendatasoft.com
    • +1more
    csv, excel, geojson +1
    Updated Apr 27, 2021
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    (2021). US Zip Codes Points- United States of America [Dataset]. https://data.smartidf.services/explore/dataset/georef-united-states-of-america-zc-point/
    Explore at:
    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Apr 27, 2021
    License

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

    Area covered
    United States
    Description

    This dataset is part of the Geographical repository maintained by Opendatasoft. It's been built from the ground up using authoritative sources including the U.S. Postal Service™, U.S. Census Bureau, National Weather Service, American Community Survey, and the IRS.Contains most USPS zip codes (lat/long).

  5. US ZIP codes to Census Tracts

    • redivis.com
    application/jsonl +7
    Updated Dec 2, 2019
    + more versions
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    Stanford Center for Population Health Sciences (2019). US ZIP codes to Census Tracts [Dataset]. http://doi.org/10.57761/4h0s-2j79
    Explore at:
    csv, avro, parquet, sas, stata, spss, arrow, application/jsonlAvailable download formats
    Dataset updated
    Dec 2, 2019
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 2010 - Apr 1, 2019
    Description

    Abstract

    A crosswalk dataset matching US ZIP codes to corresponding census tracts

    Documentation

    The denominators used to calculate the address ratios are the ZIP code totals. When a ZIP is split by any of the other geographies, that ZIP code is duplicated in the crosswalk file.

    **Example: **ZIP code 03870 is split by two different Census tracts, 33015066000 and 33015071000, which appear in the tract column. The ratio of residential addresses in the first ZIP-Tract record to the total number of residential addresses in the ZIP code is .0042 (.42%). The remaining residential addresses in that ZIP (99.58%) fall into the second ZIP-Tract record.

    So, for example, if one wanted to allocate data from ZIP code 03870 to each Census tract located in that ZIP code, one would multiply the number of observations in the ZIP code by the residential ratio for each tract associated with that ZIP code.

    https://redivis.com/fileUploads/4ecb405e-f533-4a5b-8286-11e56bb93368%3E" alt="">(Note that the sum of each ratio column for each distinct ZIP code may not always equal 1.00 (or 100%) due to rounding issues.)

    Census tract definition

    A census tract, census area, census district or meshblock is a geographic region defined for the purpose of taking a census. Sometimes these coincide with the limits of cities, towns or other administrative areas and several tracts commonly exist within a county. In unincorporated areas of the United States these are often arbitrary, except for coinciding with political lines.

    Further reading

    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. URL: https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdf

    Contact information

    Questions regarding these crosswalk files can be directed to Alex Din with the subject line HUD-Crosswalks.

    Acknowledgement

    This dataset is taken from the U.S. Department of Housing and Urban Development (HUD) office: https://www.huduser.gov/portal/datasets/usps_crosswalk.html#codebook

  6. a

    USA ZIP Code Areas

    • hub.arcgis.com
    • nconemap.gov
    • +1more
    Updated Apr 1, 2021
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    NC OneMap / State of North Carolina (2021). USA ZIP Code Areas [Dataset]. https://hub.arcgis.com/documents/d2d4d4e600704d4ebb7d29454f744293
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    Dataset updated
    Apr 1, 2021
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Description

    This data represents five-digit ZIP Code areas used by the U.S. Postal Service. This is an ArcGIS Online item directly from Esri. For more information see https://www.arcgis.com/home/item.html?id=8d2012a2016e484dafaac0451f9aea24.

  7. s

    5-digit Postal Codes United States

    • spotzi.com
    csv
    Updated Sep 10, 2020
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    Spotzi. Location Intelligence Dashboards for Businesses. (2020). 5-digit Postal Codes United States [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/5-digit-postal-code-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 10, 2020
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2023
    Area covered
    United States
    Description

    Looking for a detailed 5-digit ZIP code map of United States? With Spotzi, you can explore this American postal code data in our dashboards for free. Create a free account and unlock access to our powerful postcode dashboard to analyze, segment, and target areas like never before.

    Access the map instantly without payment or commitment. By registering a free Spotzi account, you also get access to advanced tools: radius filters, drivetime filters, build heatmaps, and even export postcode selections to use in your next marketing campaign. It's the easiest way to turn location data into action – no technical skills required.

    No data experience needed – just results. Start using United States ZIP code data to drive your next marketing move.

  8. 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
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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
    Explore at:
    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.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.

  9. US ZIP codes to longitude and latitude

    • redivis.com
    application/jsonl +7
    Updated Nov 26, 2019
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    Stanford Center for Population Health Sciences (2019). US ZIP codes to longitude and latitude [Dataset]. http://doi.org/10.57761/5tpn-br04
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    stata, csv, arrow, sas, spss, parquet, application/jsonl, avroAvailable download formats
    Dataset updated
    Nov 26, 2019
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 1999 - Dec 31, 2000
    Description

    Abstract

    A crosswalk table from US postal ZIP codes to geo-points (latitude, longitude)

    Documentation

    Data source: public.opendatasoft.

    The ZIP code database contained in 'zipcode.csv' contains 43204 ZIP codes for the continental United States, Alaska, Hawaii, Puerto Rico, and American Samoa. The database is in comma separated value format, with columns for ZIP code, city, state, latitude, longitude, timezone (offset from GMT), and daylight savings time flag (1 if DST is observed in this ZIP code and 0 if not).

    This database was composed using ZIP code gazetteers from the US Census Bureau from 1999 and 2000, augmented with additional ZIP code information The database is believed to contain over 98% of the ZIP Codes in current use in the United States. The remaining ZIP Codes absent from this database are entirely PO Box or Firm ZIP codes added in the last five years, which are no longer published by the Census Bureau, but in any event serve a very small minority of the population (probably on the order of .1% or less). Although every attempt has been made to filter them out, this data set may contain up to .5% false positives, that is, ZIP codes that do not exist or are no longer in use but are included due to erroneous data sources. The latitude and longitude given for each ZIP code is typically (though not always) the geographic centroid of the ZIP code; in any event, the location given can generally be expected to lie somewhere within the ZIP code's "boundaries".The ZIP code database contained in 'zipcode.csv' contains 43204 ZIP codes for the continental United States, Alaska, Hawaii, Puerto Rico, and American Samoa. The database is in comma separated value format, with columns for ZIP code, city, state, latitude, longitude, timezone (offset from GMT), and daylight savings time flag (1 if DST is observed in this ZIP code and 0 if not). This database was composed using ZIP code gazetteers from the US Census Bureau from 1999 and 2000, augmented with additional ZIP code information The database is believed to contain over 98% of the ZIP Codes in current use in the United States. The remaining ZIP Codes absent from this database are entirely PO Box or Firm ZIP codes added in the last five years, which are no longer published by the Census Bureau, but in any event serve a very small minority of the population (probably on the order of .1% or less). Although every attempt has been made to filter them out, this data set may contain up to .5% false positives, that is, ZIP codes that do not exist or are no longer in use but are included due to erroneous data sources. The latitude and longitude given for each ZIP code is typically (though not always) the geographic centroid of the ZIP code; in any event, the location given can generally be expected to lie somewhere within the ZIP code's "boundaries".

    The database and this README are copyright 2004 CivicSpace Labs, Inc., and are published under a Creative Commons Attribution-ShareAlike license, which requires that all updates must be released under the same license. See http://creativecommons.org/licenses/by-sa/2.0/ for more details. Please contact schuyler@geocoder.us if you are interested in receiving updates to this database as they become available.The database and this README are copyright 2004 CivicSpace Labs, Inc., and are published under a Creative Commons Attribution-ShareAlike license, which requires that all updates must be released under the same license. See http://creativecommons.org/licenses/by-sa/2.0/ for more details. Please contact schuyler@geocoder.us if you are interested in receiving updates to this database as they become available.

  10. s

    Data from: U.S. ZIP Code Areas (Three-Digit)

    • searchworks.stanford.edu
    zip
    Updated May 2, 2021
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    (2021). U.S. ZIP Code Areas (Three-Digit) [Dataset]. https://searchworks.stanford.edu/view/gh970hr0796
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    zipAvailable download formats
    Dataset updated
    May 2, 2021
    Description

    U.S. ZIP Code Areas (Three-Digit) provides area and population for each three-digit ZIP Code area in the United States.

  11. USA ZIP Code Points

    • data-smpdc.opendata.arcgis.com
    Updated Dec 1, 2024
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    Esri (2024). USA ZIP Code Points [Dataset]. https://data-smpdc.opendata.arcgis.com/datasets/esri::usa-zip-code-points/explore
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    Dataset updated
    Dec 1, 2024
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    U.S. ZIP Code Points represents the five-digit U.S. ZIP Code areas as points, plus all ZIP Codes that have no associated area such as post office box ZIP Codes and single site ZIP Codes (government, building, or large volume customer).Five-digit ZIP Codes are used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states (or equivalent areas) numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a Sectional Center Facility (SCF) or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.The points are sourced from TomTom (June 2024) and the 2023 population estimates are from Esri Demographics. This layer is updated annually.

  12. d

    Oregon ZIP Codes

    • catalog.data.gov
    • data.oregon.gov
    • +2more
    Updated Jan 31, 2025
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    Oregon Department of Administrative Services (2025). Oregon ZIP Codes [Dataset]. https://catalog.data.gov/dataset/oregon-zip-codes
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Oregon Department of Administrative Services
    Area covered
    Oregon
    Description

    US Postal Service Zone Improvement Plan (ZIP) Codes are used throughout the United States to improve mail delivery. There are 479 unique 5-digit ZIP Codes in Oregon all starting with 97. All ZIP Codes are assigned and managed exclusively by the US Postal Service. There are three main categories of ZIP Codes - 1) Standard, 2) PO Box Only, 3) Unique for large commercial and government customers.Each ZIP Code is assigned a preferred city name by the US Postal Service. NOTE - these city names may not correspond with the city limits or other jurisdiction boundaries of incorporated cities. There are other acceptable city names listed that may be used for mailing addresses for some ZIP Codes. There are also other city names to avoid using for mailing addresses. To verify the preferred, acceptable, or city names to avoid enter the ZIP Code in this tool from the US Postal Service - https://tools.usps.com/zip-code-lookup.htm?citybyzipcodeThis is not a product of the US Postal Service. It was compiled by checking all numbers from 97000 - 97999 with the ZIP Code Lookup tool.Most Standard and some PO Box Only ZIP Codes may also be listed as Census ZIP Code Tabulation Areas (ZTCA). NOTE - The ZTCA is only an approximation of a ZIP Code area based on the predominate ZIP Code of all housing units in each Census block. ZIP Codes actually follow lines of travel along letter carrier routes and are not polygons as shown by the ZTCA.

  13. US Wages via Zipcode

    • kaggle.com
    Updated Apr 15, 2018
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    Pavan Sanagapati (2018). US Wages via Zipcode [Dataset]. https://www.kaggle.com/pavansanagapati/us-wages-via-zipcode/notebooks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 15, 2018
    Dataset provided by
    Kaggle
    Authors
    Pavan Sanagapati
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description
    • Context I am greatly inspired with this dataset containing geo spatial details for each zip code and contains the total wages for each area.This gave me opportunity to create a data visualisation in Tableau using HexBin chart which is added as a Kernel to this dataset.

    • Content

      • About the data: 81,831 rows of data. All 41,891 active zipcodes + 634 decommisioned zipcodes from the recent past. All 80673 active Primary(41885), Acceptable(13988), and Not Acceptable(24800) placenames. Some additonal placenames for decommisioned codes. 29,971 Standard, 9465 PO BOX, 2437 Unique, and 649 Military codes.
    • 50 States + 361 AA Military

    • Americas 38 AE Military

    • Europe 164 AP Military

    • Pacific 1 AS American Samoa 290 DC Washinton DC 4 FM Federated States Micronesia 13 GU Guam 2 MH Marshall Islands 3 MP Northern Mariana Islands 176 PR Puerto Rico 2 PW Palau 16 VI Virgin Islands

    • Name Type Description

    • Zipcode Text 5 digit Zipcode or military postal code(FPO/APO)

    • ZipCodeType Text Standard, PO BOX Only, Unique, Military(implies APO or FPO)

    • City Text USPS offical city name(s)

    • State Text USPS offical state, territory, or quasi-state (AA, AE, AP) abbreviation code

    • LocationType Text Primary, Acceptable,Not Acceptable

    • Lat Double Decimal Latitude, if available

    • Long Double Decimal Longitude, if available

    • Location Text Standard Display (eg Phoenix, AZ ; Pago Pago, AS ; Melbourne, AU )

    • Decommissioned Text If Primary location, Yes implies historical Zipcode, No Implies current Zipcode; If not Primary, Yes implies Historical Placename

    • TaxReturnsFiled Long Integer Number of Individual Tax Returns Filed in 2008

    • EstimatedPopulation Long Integer Tax returns filed + Married filing jointly + Dependents

    • TotalWages Long Integer Total of Wages Salaries and Tips

    • : USPS Military place names (base or ship name)

    • : MPSA 2008 Election Ballot information Tax returns filed, estimated population, total wages: IRS 2008 Latitude and Longitude; National Weather Service supplemented by Google Earth and Maps and occasionally other sources Decommissioned zip codes, Our old database--usually quality sources, but not verifiable.

    • Acknowledgements

      Other Sources of zipcode information:

    • Placenames (Cities, towns, geographic features) can be found at US Geological Survey GNIS Dataset The IRS has additional data fields for 2008 and is reviewing their publication procedures for later years.

      see http://www.irs.gov/taxstats/indtaxstats/article/0,,id=96947,00.html

    • The Census publishes data, but they use Zipcode Tabulation Areas (ZCTAs) which

    • 1) have changed areas between the 2000 census and the 2010 census

    • 2) do not map well to USPS zipcodes well. If needed http://www.census.gov/geo/ZCTA/zcta.html Social Security recipients by zipcode http://www.ssa.gov/policy/docs/statcomps/oasdi_zip/ For economic researchers and those who want tons of background on data sources by zipcode, University of Missouri OSEDA project

      • Free Zipcode Database (8.7 MB) Updated 1/22/2012 All Locations (Multiple locations for some zipcodes)

      Inspiration I am hoping that people in the right government agencies/authorities would be able to utilize this data to focus on

      community developments where it needs immediate attention.

  14. 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 Developmenthttp://www.hud.gov/
    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

  15. US ZIP codes to CBSA

    • redivis.com
    application/jsonl +7
    Updated Dec 2, 2019
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    Stanford Center for Population Health Sciences (2019). US ZIP codes to CBSA [Dataset]. http://doi.org/10.57761/mk9y-ty94
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    arrow, application/jsonl, stata, parquet, avro, spss, csv, sasAvailable download formats
    Dataset updated
    Dec 2, 2019
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford Center for Population Health Sciences
    Time period covered
    Jan 1, 2010 - Apr 1, 2019
    Description

    Abstract

    A crosswalk matching US ZIP codes to corresponding CBSA (core-based statistical area)

    Documentation

    The denominators used to calculate the address ratios are the ZIP code totals. When a ZIP is split by any of the other geographies, that ZIP code is duplicated in the crosswalk file.

    **Example: **ZIP code 03870 is split by two different Census tracts, 33015066000 and 33015071000, which appear in the tract column. The ratio of residential addresses in the first ZIP-Tract record to the total number of residential addresses in the ZIP code is .0042 (.42%). The remaining residential addresses in that ZIP (99.58%) fall into the second ZIP-Tract record.

    So, for example, if one wanted to allocate data from ZIP code 03870 to each Census tract located in that ZIP code, one would multiply the number of observations in the ZIP code by the residential ratio for each tract associated with that ZIP code.

    https://redivis.com/fileUploads/4ecb405e-f533-4a5b-8286-11e56bb93368%3E" alt="">(Note that the sum of each ratio column for each distinct ZIP code may not always equal 1.00 (or 100%) due to rounding issues.)

    CBSA definition

    A core-based statistical area (CBSA) is a U.S. geographic area defined by the Office of Management and Budget (OMB) that consists of one or more counties (or equivalents) anchored by an urban center of at least 10,000 people plus adjacent counties that are socioeconomically tied to the urban center by commuting. Areas defined on the basis of these standards applied to Census 2000 data were announced by OMB in June 2003. These standards are used to replace the definitions of metropolitan areas that were defined in 1990. The OMB released new standards based on the 2010 Census on July 15, 2015.

    Further reading

    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. URL: https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdf

    Contact authors

    Questions regarding these crosswalk files can be directed to Alex Din with the subject line HUD-Crosswalks.

    Acknowledgement

    This dataset is taken from the U.S. Department of Housing and Urban Development (HUD) office: https://www.huduser.gov/portal/datasets/usps_crosswalk.html#codebook

  16. N

    Modified Zip Code Tabulation Areas (MODZCTA)

    • data.cityofnewyork.us
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated May 13, 2020
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    Department of Health and Mental Hygiene (DOHMH) (2020). Modified Zip Code Tabulation Areas (MODZCTA) [Dataset]. https://data.cityofnewyork.us/Health/Modified-Zip-Code-Tabulation-Areas-MODZCTA-/pri4-ifjk
    Explore at:
    application/rssxml, xml, csv, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset authored and provided by
    Department of Health and Mental Hygiene (DOHMH)
    Description

    A shapefile for mapping data by Modified Zip Code Tabulation Areas (MODZCTA) in NYC, based on the 2010 Census ZCTA shapefile. MODZCTA are being used by the NYC Department of Health & Mental Hygiene (DOHMH) for mapping COVID-19 Data.

  17. Wealth Segmentation of U.S. ZIP Codes Based on IRS

    • kaggle.com
    Updated Jul 9, 2025
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    Namrata_Nyam (2025). Wealth Segmentation of U.S. ZIP Codes Based on IRS [Dataset]. http://doi.org/10.34740/kaggle/dsv/12424277
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Namrata_Nyam
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Wealth Segmentation of U.S. ZIP Codes Based on IRS Data

    This dataset provides a wealth-tier classification of U.S. ZIP codes for high income brackets using IRS income data and multivariate KMeans clustering. It can help with regional targeting, CRM enrichment, market analysis, or any data science task that benefits from understanding high income distribution across the U.S.

    💡 Source

    • IRS SOI ZIP Code Data (open source)
    • Aggregated across AGI brackets (stub 3–6)

    🧠 What’s Inside

    Each row represents a ZIP code with:

    • AGI (A00100), Total Income (A00200)
    • Capital Gains, Business Income, Tax Paid
    • Cluster assignment (0–2)
    • Wealth Tier label: Low, Medium, or High

    The cluster assignments are refined using distance to cluster centroids in normalized feature space to improve accuracy.

    💼 Use Cases

    • Segmenting markets for B2B/B2C outreach
    • CRM lead enrichment
    • Territory planning and resource allocation
    • Visualization and dashboard overlays
    ColumnDescription
    zipcodeU.S. ZIP code
    STATEFIPSFederal Information Processing Standard (FIPS) code for the state
    STATEU.S. state abbreviation (e.g., AL, CA)
    agi_stubAdjusted Gross Income bracket (1 = <$25K, ..., 6 = $200K+)
    A00100Adjusted Gross Income
    A02650Total income from all sources
    A10600Total tax payments
    A00200Wages and salaries
    MARS2Count of married joint returns
    N2Number of dependents
    A00900Business/professional net income
    mars1Count of single returns
    A26270Partnership and S-Corp income
    A09400Self-employment tax
    MARS4Head of household returns
    A85300Net investment income
    A00600Ordinary dividends
    A04475Qualified business income deduction
    A00650Qualified dividends
    A18500Real estate taxes paid
    ClusterNumeric cluster ID (0 = High, 1 = Medium, 2 = Low)
    Wealth_TierHuman-readable wealth tier label

    📬 Contact

    Created by Namrata Nyamagoudar(LinkedIn) for open-source analysis and enrichment use cases.

  18. h

    Zip-Code-to-Timezone

    • huggingface.co
    Updated Feb 25, 2024
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    Bobby Gill (2024). Zip-Code-to-Timezone [Dataset]. https://huggingface.co/datasets/omgbobbyg/Zip-Code-to-Timezone
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 25, 2024
    Authors
    Bobby Gill
    Description

    Dataset Card for Zip Code to Timezone Offset Mapping

    This dataset maps Zip Codes and Postal Codes for the USA and Canada to the relevant timezone offset.

      Dataset Details
    
    
    
    
    
      Dataset Description
    

    In addition to providing a mapping from a Zip Code or Postal Code to timezone offset, it also contains the timezone offset for DST (if observed).

    Curated by: Bobby Gill, BlueLabel

      Acknowledgements
    

    Based off the Work Here:… See the full description on the dataset page: https://huggingface.co/datasets/omgbobbyg/Zip-Code-to-Timezone.

  19. National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census...

    • icpsr.umich.edu
    • archive.icpsr.umich.edu
    ascii, delimited, r +3
    Updated Dec 11, 2024
    + more versions
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    Pan, Longrong; Melendez, Robert; Clarke, Philippa; Noppert, Grace; Gomez-Lopez, Iris; Chenoweth, Megan; Khan, Anam; Li, Mao; Gypin, Lindsay (2024). National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census Tract and ZIP Code Tabulation Area, United States, 2016-2018 and 2024 [Dataset]. http://doi.org/10.3886/ICPSR38605.v2
    Explore at:
    sas, stata, delimited, ascii, r, spssAvailable download formats
    Dataset updated
    Dec 11, 2024
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Pan, Longrong; Melendez, Robert; Clarke, Philippa; Noppert, Grace; Gomez-Lopez, Iris; Chenoweth, Megan; Khan, Anam; Li, Mao; Gypin, Lindsay
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38605/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38605/terms

    Time period covered
    Jan 1, 2016 - Dec 31, 2018
    Area covered
    United States
    Description

    This study includes the number of public transit stops per United States census tract or ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM). Each observation represents the count and density (per capita and square mile) of transit stops within a census tract or ZIP code tabulation area (ZCTA), as voluntarily reported to NTM between 2016-2018 and 2024 by one of 270 regional transit agencies choosing to participate.

  20. CA Zip Code Boundaries

    • data.ca.gov
    • gis.data.ca.gov
    • +2more
    Updated Dec 24, 2024
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    California Department of Technology (2024). CA Zip Code Boundaries [Dataset]. https://data.ca.gov/dataset/ca-zip-code-boundaries
    Explore at:
    arcgis geoservices rest api, geojson, zip, csv, kml, htmlAvailable download formats
    Dataset updated
    Dec 24, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Area covered
    California
    Description
    This feature service is derived from the Esri "United States Zip Code Boundaries" layer, queried to only CA data.


    Published by the California Department of Technology Geographic Information Services Team.
    The GIS Team can be reached at ODSdataservices@state.ca.gov.

    U.S. ZIP Code Boundaries represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states (or equivalent areas) numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a Sectional Center Facility (SCF) or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.

    As of the time this layer was published, in January 2025, Esri's boundaries are sourced from TomTom (June 2024) and the 2023 population estimates are from Esri Demographics. Esri updates its layer annually and those changes will immediately be reflected in this layer. Note that, because this layer passes through Esri's data, if you want to know the true date of the underlying data, click through to Esri's original source data and look at their metadata for more information on updates.

    Cautions about using Zip Code boundary data
    Zip code boundaries have three characteristics you should be aware of before using them:
    1. Zip code boundaries change, in ways small and large - these are not a stable analysis unit. Data you received keyed to zip codes may have used an earlier and very different boundary for your zip codes of interest.
    2. Historically, the United States Postal Service has not published zip code boundaries, and instead, boundary datasets are compiled by third party vendors from address data. That means that the boundary data are not authoritative, and any data you have keyed to zip codes may use a different, vendor-specific method for generating boundaries from the data here.
    3. Zip codes are designed to optimize mail delivery, not social, environmental, or demographic characteristics. Analysis using zip codes is subject to create issues with the Modifiable Areal Unit Problem that will bias any results because your units of analysis aren't designed for the data being studied.
    As of early 2025, USPS appears to be in the process of releasing boundaries, which will at least provide an authoritative source, but because of the other factors above, we do not recommend these boundaries for many use cases. If you are using these for anything other than mailing purposes, we recommend reconsideration. We provide the boundaries as a convenience, knowing people are looking for them, in order to ensure that up-to-date boundaries are available.
Share
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(2024). Zip Codes 5 digits - United States of America [Dataset]. https://public.opendatasoft.com/explore/dataset/georef-united-states-of-america-zcta5/

Zip Codes 5 digits - United States of America

Explore at:
excel, geojson, json, csvAvailable download formats
Dataset updated
Jun 6, 2024
License

https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

Area covered
United States
Description

This dataset is part of the Geographical repository maintained by Opendatasoft.This dataset contains data for zip codes 5 digits in United States of America.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.Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Add administrative hierarchy.

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