75 datasets found
  1. 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.

  2. d

    3-digit zip codes and the latitude and longitude coordinates of...

    • data.gov.tw
    xml
    Updated Jun 12, 2024
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    Chunghwa Post Co., Ltd. (2024). 3-digit zip codes and the latitude and longitude coordinates of administrative district centers [Dataset]. https://data.gov.tw/en/datasets/25489
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jun 12, 2024
    Dataset authored and provided by
    Chunghwa Post Co., Ltd.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This dataset mainly provides a matching table of 3-digit postal codes and the coordinates of administrative district centers.

  3. Zip Code Tabulation Area 2005 First Edition (polygon)

    • catalog.data.gov
    • gimi9.com
    Updated Nov 7, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Management Branch (Point of Contact) (2024). Zip Code Tabulation Area 2005 First Edition (polygon) [Dataset]. https://catalog.data.gov/dataset/zip-code-tabulation-area-2005-first-edition-polygon
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    Dataset updated
    Nov 7, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2005 First Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database 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 2005 First Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. There are 19 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, and area boundaries.

  4. 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.

  5. d

    Global Address Database (24M Streets) | Postal, Lat/Long, Localities &...

    • datarade.ai
    .csv
    Updated May 13, 2024
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    GeoPostcodes (2024). Global Address Database (24M Streets) | Postal, Lat/Long, Localities & Regions | Weekly Updates [Dataset]. https://datarade.ai/data-products/geopostcodes-address-data-global-coverage-24-m-streets-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Guam, Gibraltar, Kazakhstan, Holy See, Sint Maarten (Dutch part), Γ…land Islands, Malaysia, Ireland, Tanzania, Guernsey
    Description

    A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

    All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

    Use cases for the Global Address Database (Geospatial data)

    • Address capture and validation

    • Parcel delivery

    • Master Data Management

    • Logistics and Shipping

    • Sales and Marketing

    Additional features

    • Fully and accurately geocoded

    • Multi-language support

    • Address ranges for streets covered by several zip codes

    • Comprehensive city definitions across countries

    • Administrative areas with a level range of 0-4

    • International Address Formats

    For additional insights, you can combine the map data with:

    • UNLOCODE and IATA codes (geocoded)

    • Time zones and Daylight Saving Time (DST)

    • Population data: Past and future trends

    Data export methodology

    Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our location databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Frequent, consistent updates for the highest quality

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  6. d

    3-digit postal codes and administrative geographic coordinates mapping in...

    • data.gov.tw
    kml
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    Chunghwa Post Co., Ltd., 3-digit postal codes and administrative geographic coordinates mapping in KML format [Dataset]. https://data.gov.tw/en/datasets/37759
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    kmlAvailable download formats
    Dataset authored and provided by
    Chunghwa Post Co., Ltd.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    China Post business information...................

  7. d

    Analysis Neighborhoods to ZIP Code Crosswalk

    • catalog.data.gov
    • data.sfgov.org
    Updated Mar 29, 2025
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    data.sfgov.org (2025). Analysis Neighborhoods to ZIP Code Crosswalk [Dataset]. https://catalog.data.gov/dataset/analysis-neighborhoods-to-zip-code-crosswalk
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Description

    A. SUMMARY This dataset contains the list of intersecting Analysis Neighborhoods and ZIP Codes for the City and County of San Francisco. It can be used to identify which ZIP codes overlap with Analysis Neighborhoods and vice verse. B. HOW THE DATASET IS CREATED The dataset was created with a spatial join between the Analysis Neighborhoods and ZIP codes. C. UPDATE PROCESS This is a static dataset D. HOW TO USE THIS DATASET This dataset is a many-to-many relationship between analysis neighborhoods and ZIP codes. A single neighborhood can contain or intersect with multiple ZIP codes and similarly, a single ZIP code can be in multiple neighborhoods. This dataset does not contain geographic boundary data (i.e. shapefiles/ GEOMs). The datasets below containing geographic boundary data should be used for analysis of data with geographic coordinates. E. RELATED DATASETS Analysis Neighborhoods San Francisco ZIP Codes Supervisor District (2022) to ZIP Code Crosswalk Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods

  8. d

    McKinley County TIGER 2000 Roads and Nodes

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
    + more versions
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    Earth Data Analysis Center (Point of Contact) (2020). McKinley County TIGER 2000 Roads and Nodes [Dataset]. https://catalog.data.gov/dataset/mckinley-county-tiger-2000-roads-and-nodes
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Earth Data Analysis Center (Point of Contact)
    Area covered
    McKinley County
    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. d

    Los Alamos County TIGER 2000 Roads and Nodes

    • datasets.ai
    • s.cnmilf.com
    • +2more
    21, 55, 57
    + more versions
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    Earth Data Analysis Center, University of New Mexico, Los Alamos County TIGER 2000 Roads and Nodes [Dataset]. https://datasets.ai/datasets/los-alamos-county-tiger-2000-roads-and-nodes
    Explore at:
    57, 55, 21Available download formats
    Dataset authored and provided by
    Earth Data Analysis Center, University of New Mexico
    Area covered
    Los Alamos County
    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.

  10. C

    6-digit zip code centroids

    • ckan.mobidatalab.eu
    Updated Jun 8, 2023
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    NationaalGeoregisterNL (2023). 6-digit zip code centroids [Dataset]. https://ckan.mobidatalab.eu/dataset/6-digitzipcodecentroids
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    Dataset updated
    Jun 8, 2023
    Dataset provided by
    NationaalGeoregisterNL
    Description

    file with the coordinates of all 6-digit postal codes in the Netherlands.

  11. s

    All Postal Code - All countries (Geonames)

    • data.smartidf.services
    • public.opendatasoft.com
    • +1more
    csv, excel, geojson +1
    Updated Oct 9, 2025
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    (2025). All Postal Code - All countries (Geonames) [Dataset]. https://data.smartidf.services/explore/dataset/geonames-postal-code/
    Explore at:
    geojson, csv, excel, jsonAvailable download formats
    Dataset updated
    Oct 9, 2025
    License

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

    Description

    For many countries lat/lng are determined with an algorithm that searches the place names in the main geonames database using administrative divisions and numerical vicinity of the postal codes as factors in the disambiguation of place names. For postal codes and place name for which no corresponding toponym in the main geonames database could be found an average lat/lng of 'neighbouring' postal codes is calculated. Please let us know if you find any errors in the data set. ThanksFor Canada we have only the first letters of the full postal codes (for copyright reasons)For Ireland we have only the first letters of the full postal codes (for copyright reasons)For Malta we have only the first letters of the full postal codes (for copyright reasons)The Argentina data file contains 4-digit postal codes which were replaced with a new system in 1999.For Brazil only major postal codes are available (only the codes ending with -000 and the major code per municipality).For India the lat/lng accuracy is not yet comparable to other countries.Update frequency: 1 month

  12. "🌍 Ultimate Geographic Data"

    • kaggle.com
    Updated Mar 5, 2025
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    Laiba Asim (2025). "🌍 Ultimate Geographic Data" [Dataset]. https://www.kaggle.com/datasets/laibaasim/ultimate-geographic-data/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Laiba Asim
    License

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

    Description

    🌍 Ultimate Geographic Data Collection | Cities & Zip Codes

    πŸ“Œ Overview

    Welcome to the Ultimate Geographic Data Collection, a comprehensive dataset providing valuable geographic insights. This dataset includes U.S. Zip Codes, U.S. Cities, and World Cities data, making it an essential resource for developers, data analysts, and researchers. Whether you're building location-based applications, conducting geographic analysis, or working on machine learning projects, this dataset offers an extensive and curated collection of location-based information.

    πŸ“Š What's Inside?

    • U.S. Zip Codes Database (Free Version) πŸ™οΈ

      • Includes ZIP codes, state associations, and geographic coordinates.
      • πŸ”— Usage Condition: Requires a visible backlink to SimpleMaps US Zip Code Database.
    • U.S. Cities Database (Free Version) πŸŒ†

      • Includes city names, state information, latitude, longitude, and population data.
      • πŸ”— Usage Condition: Requires a visible backlink to SimpleMaps US Cities Database.
    • Basic World Cities Database πŸ—ΊοΈ

      • Provides global city data licensed under Creative Commons Attribution 4.0.
      • πŸ“œ Learn more: CC BY 4.0 License.
    • Comprehensive & Pro World Cities Database (Density Data) 🌎

      • Population density estimates sourced from CIESIN - Columbia University.
      • πŸ”— Licensed under Creative Commons Attribution 4.0 with no additional restrictions.

    βš–οΈ License & Usage Terms

    • βœ… You CAN:

      • Use this dataset in private and public-facing applications.
      • Create copies and backups for your projects.
      • Transfer the license (with provider approval via email).
    • 🚫 You CANNOT:

      • Redistribute the dataset publicly without written permission.
      • Use it in a way that violates any laws.
      • Bypass the backlink requirement (for free U.S. Zip Code & Cities Databases).

    πŸ› οΈ How to Use

    1. Download the dataset πŸ“₯.
    2. Ensure compliance with licensing terms.
    3. Use it in your projects for analysis, visualization, or machine learning.
    4. Provide attribution (if applicable) for free datasets.

    ⚠️ Disclaimer

    • This dataset is provided "AS IS", without any warranties.
    • The provider is not liable for any issues arising from usage.
    • Users are responsible for ensuring legal compliance in their jurisdiction.

    πŸ”₯ Get Started!

    Enhance your geographic projects with this powerful dataset today! πŸš€

    πŸ“© For any inquiries, licensing requests, or attribution clarifications, contact the dataset provider.

  13. a

    Regional County Boundaries

    • harris-county-open-gis-hub-harriscounty.hub.arcgis.com
    • geo-harriscounty.opendata.arcgis.com
    Updated Mar 11, 2014
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    Harris County Online Repository (2014). Regional County Boundaries [Dataset]. https://harris-county-open-gis-hub-harriscounty.hub.arcgis.com/datasets/regional-county-boundaries
    Explore at:
    Dataset updated
    Mar 11, 2014
    Dataset authored and provided by
    Harris County Online Repository
    Area covered
    Description

    2000 Census County Lines, clipped to the H-GAC region. 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. d

    TRANSPORTATION Workers 16 Yrs and Over by Means of Travel BGs 2000

    • datasets.ai
    • gstore.unm.edu
    • +1more
    21, 55, 57
    Updated Dec 2, 2020
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2020). TRANSPORTATION Workers 16 Yrs and Over by Means of Travel BGs 2000 [Dataset]. https://datasets.ai/datasets/transportation-workers-16-yrs-and-over-by-means-of-travel-bgs-2000
    Explore at:
    55, 57, 21Available 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.

  15. B

    Postal Code Conversion File [Canada], June 2025, Census of Canada 2021

    • borealisdata.ca
    Updated Oct 3, 2025
    + more versions
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    Statistics Canada. Geography Division (2025). Postal Code Conversion File [Canada], June 2025, Census of Canada 2021 [Dataset]. http://doi.org/10.5683/SP3/LWJRZF
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 3, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada. Geography Division
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/LWJRZFhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/LWJRZF

    Area covered
    Canada
    Description

    The Postal Code Conversion File (PCCF) is a digital file which provides a correspondence between the Canada Post Corporation (CPC) six-character postal code and Statistics Canada's standard geographic areas for which census data and other statistics are produced. Through the link between postal codes and standard geographic areas, the PCCF permits the integration of data from various sources. The Single Link Indicator provides one best link for every postal code, as there are multiple records for many postal codes. New to the June 2022 version, a separate data file is available for retired postal codes. The retired file uses the same record layout as the PCCF file. The same syntax file can be used for both the PCCF data file and the retired data file. The geographic coordinates attached to each postal code on the PCCF are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for planning, or research purposes. The geographic coordinates, which represent the standard geostatistical areas linked to each postal codeOM on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). The location information is a powerful tool for marketing, planning, or research purposes. In April 1983, the Statistical Registers and Geography Division released the first version of the PCCF, which linked postal codesOM to 1981 Census geographic areas and included geographic coordinates. Since then, the file has been updated on a regular basis to reflect changes. For this release of the PCCF, the vast majority of the postal codesOM are directly geocoded to 2016 Census geography while others are linked via various conversion processes. A quality indicator for the confidence of this linkage is available in the PCCF.

  16. d

    EMPLOY IND Civilian Females 16 Yrs and Over by Industry CTs 2000

    • datasets.ai
    • gstore.unm.edu
    • +2more
    21, 55, 57
    Updated Dec 2, 2020
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2020). EMPLOY IND Civilian Females 16 Yrs and Over by Industry CTs 2000 [Dataset]. https://datasets.ai/datasets/employ-ind-civilian-females-16-yrs-and-over-by-industry-cts-2000
    Explore at:
    55, 21, 57Available 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.

  17. d

    Supervisor District (2022) to ZIP Code Crosswalk

    • catalog.data.gov
    • data.sfgov.org
    Updated Mar 29, 2025
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    data.sfgov.org (2025). Supervisor District (2022) to ZIP Code Crosswalk [Dataset]. https://catalog.data.gov/dataset/supervisor-district-2022-to-zip-code-crosswalk
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Description

    A. SUMMARY This dataset contains the list of intersecting 2022 Supervisor Districts and ZIP Codes for the City and County of San Francisco. It can be used to identify which ZIP codes overlap with Supervisor Districts (2022) and vice verse. B. HOW THE DATASET IS CREATED The dataset was created with a spatial join between the 2022 Supervisor districts and ZIP codes. C. UPDATE PROCESS This is a static dataset D. HOW TO USE THIS DATASET This dataset is a many-to-many relationship between supervisor districts and ZIP codes. A single supervisor district can contain or intersect with multiple ZIP codes and similarly, a single ZIP code can be in multiple supervisor districts. This dataset does not contain geographic boundary data (i.e. shapefiles/ GEOMs). The datasets below containing geographic boundary data should be used for analysis of data with geographic coordinates. E. RELATED DATASETS Supervisor Districts (2022) San Francisco ZIP Codes Supervisor District (2012) to ZIP Code Crosswalk Analysis Neighborhoods - 2020 census tracts assigned to neighborhoods

  18. g

    TIGER/Line Initial Voting District Codes Files, 1990

    • search.gesis.org
    • dataverse-staging.rdmc.unc.edu
    Updated May 6, 2021
    + more versions
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    UNC Dataverse (2021). TIGER/Line Initial Voting District Codes Files, 1990 [Dataset]. https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29C-199015
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    Dataset updated
    May 6, 2021
    Dataset provided by
    GESIS search
    UNC Dataverse
    License

    https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29C-199015https://search.gesis.org/research_data/datasearch-httpsdataverse-unc-eduoai--hdl1902-29C-199015

    Description

    "This file provides digital data for all 1990 precensus map features, the associated 1990 census initial tabulation geographic area codes, such as 1990 census block numbers, and the codes for the Jan. 1, 1990 political areas on both sides of each line segment of every mapped feature. The data contain basic information on 1990 census geographic area codes, feature names, and address ranges in the form of ten ""Record Types."" The Census Bureau added four new record types in response to some us er and vendor requests to provide point and area information contained in the Census Bureau's Precensus Map sheets that is not contained in the Precensus TIGER/Line files. The record types include: Basic data records (individual Feature Segment Records), shape coordinate points (feature shape records), additional decennial census geographic area codes, index to alternate feature names, feature name list, additional address range and zip code data, landmark features, area landmarks, area boundaries, and polygon location. Each segment record contains appropriate decennial census and FIPS geographic area codes, latitude/longitude coordinates, the name of the feature (including the relevant census feature class code identifying the segment by category), and, for areas formerly covered by the GBF/DIME-Files, the address ranges and ZIP code associated with those address ranges for each side of street segments. For other areas, the TIGER?Line files do not contain address ranges or ZIP Codes. The shape records provide coordinate values that describe the shape of those feature segments that are not straight."

  19. d

    EDUCATION Attainment of Persons by Detailed Category COS 2000

    • datasets.ai
    • gstore.unm.edu
    • +1more
    17, 21, 23, 25, 38 +6
    Updated Dec 2, 2020
    + more versions
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    Earth Data Analysis Center, University of New Mexico (2020). EDUCATION Attainment of Persons by Detailed Category COS 2000 [Dataset]. https://datasets.ai/datasets/education-attainment-of-persons-by-detailed-category-cos-2000
    Explore at:
    23, 21, 52, 17, 25, 57, 51, 55, 38, 8, 53Available 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.

  20. A

    Postal Code Conversion File Plus (PCCF+) Version 8B, December 2023 Postal...

    • dvrs-applnxprd2.library.ubc.ca
    • abacus.library.ubc.ca
    pdf, txt
    Updated Jun 27, 2024
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    Abacus Data Network (2024). Postal Code Conversion File Plus (PCCF+) Version 8B, December 2023 Postal Codes [Dataset]. https://dvrs-applnxprd2.library.ubc.ca/dataset.xhtml;jsessionid=aabcd7780991b200c98cc00eb168?persistentId=hdl%3A11272.1%2FAB2%2FSC5S0E&version=&q=&fileAccess=Restricted&fileTag=%22Data%22&fileSortField=&fileSortOrder=
    Explore at:
    txt(3192), pdf(187231)Available download formats
    Dataset updated
    Jun 27, 2024
    Dataset provided by
    Abacus Data Network
    Time period covered
    Dec 2023
    Area covered
    Canada
    Description

    Overview The PCCF+ is a SAS control program and set of associated datasets derived from the PCCF, a 2021 postal code population weight file, the Geographic Attribute File, Health Region boundary files, and other supplementary data. PCCF+ automatically assigns a range of Statistics Canada standard geographic areas and other geographic identifiers based on postal codes. PCCF+ differs from the PCCF in that it: Uses population-weighted random allocation for many postal codes that link to more than one geographic area. Options are available for institutional postal codes. Procedures are included to link partial postal codes to geographic identifiers where possible. Problem records and diagnostics are provided in the program output, along with reference information for possible solutions. The geographic coordinates, which represent the standard geostatistical areas linked to each postal code on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). In April 1983, the Geography Division released the first version of the PCCF, which linked postal codes to 1981 census geographic areas and included geographic coordinates. PCCF+ was first created using the 1986 census and has been updated regularly with population weight files calculated for each census from 1991 through 2021. Purpose of PCCF+ The purpose of the PCCF+ is to provide a link between six-character postal codes produced by the Canada Post Corporation (CPC), standard 2021 Census geographic areas (such as dissemination areas, census subdivisions, and census tracts) produced by Statistics Canada, and supplementary administrative areas and neighbourhood income quintiles. Postal codes do not respect census geographic boundaries and so may be linked to more than one standard geographic area, or assigned to more than one set of coordinates. Therefore, one postal code may be represented by more than one record. The PCCF product, produced by Statistics Canada, provides links between postal codes and all recorded matches to census geography. PCCF+ uses the PCCF but provides additional functionality in that it uses a population-weighted matching process for some residential postal codes where more than one geographic code is possible. PCCF+ also provides routines for institutional postal codes and for historic postal codes. The PCCF+ Version 8B includes a population-weighting file calculated from the 2021 Census population counts Neighbourhood income quintiles and deciles have been calculated from 2021 Census population data. The routine that allowed geocoding of historical postal codes in British Columbia (V1H, V9G, prior 1998) has been removed.

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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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US ZIP codes to longitude and latitude

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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.

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