Global boundaries data
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This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
Namibia administrative level 0-2 boundaries (COD-AB) dataset version 01. This dataset is structured into 2 levels: - Admin 1: 14 Region - Admin 2: 107 Constituency Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 09 January 2020: valid for use by the humanitarian community - 01 January 2011: last edit to the dataset before publishing - 01 January 2011: boundaries created by the source Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
The administrative boundaries dataset at level 2 (Sub-national level) is part of the Global Administrative Unit Layers (GAUL) dataset series which includes information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The administrative boundaries at the level 2 dataset distinguishes Districts and equivalent. The GAUL maintains global layers with a unified coding system at country, first (e.g. departments), and second administrative levels (e.g. districts). The complete metadata reference for each country, along with the specific license or Terms of Use applicable at the country level, can be accessed **here**. **Data creation:** 2024-12-19 **Citation:** FAO. 2024. Global Administrative Unit Layers (GAUL). [Accessed on [DD Month YYYY]]. https://data.apps.fao.org/?lang=en. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) Metadata Contact: [FAO-Data](mailto:FAO-Data@fao.org) **Data lineage:** The overall GAUL methodology consists in a) collecting the best available data from most reliable sources, b) assemble national datasets into a common dataset by matching international boundaries with a reference authoritative dataset, i.e. the UN 2018, c) standardizing attributes to a common table of attributes, d) generating codes using GAUL Coding System, e) applying a topology and f) fill the metadata for each country. Detailed technical documentation is available **here**. **Resource constraints:** This work is made available under the Creative Commons Attribution-4.0 International license (**CC BY 4.0**). IMPORTANT – Read carefully the **Terms of Use** before using the digital data. By downloading the Global Administrative Unit Layers (GAUL) 2024 you agree to be bound by the terms and conditions contained in this document. **Online resources:** Download the data from the Google bucket GAUL 2024 Terms of Use GAUL 2024 L2 Metadata GAUL 2024 L2 ChangeLog GAUL 2024 Technical Guidelines GAUL L0 Codes 2024 - 2014
The administrative boundaries dataset at level 1 (Sub-national level) is part of the Global Administrative Unit Layers (GAUL 2024) dataset series which includes information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The administrative boundaries at the level 1 dataset distinguishes States, Provinces, Departments and equivalent. The GAUL maintains global layers with a unified coding system at country, first (e.g. departments), and second administrative levels (e.g. districts). The complete metadata reference for each country, along with the specific license or Terms of Use applicable at the country level, can be accessed **here**. **Data publication:** 2024-12-19 **Citation:** FAO. 2024. Global Administrative Unit Layers (GAUL). [Accessed on [DD Month YYYY]]. https://data.apps.fao.org/?lang=en. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) Metadata Contact: [FAO-Data](mailto:FAO-Data@fao.org) **Data lineage:** The overall GAUL methodology consists in a) collecting the best available data from most reliable sources, b) assemble national datasets into a common dataset by matching international boundaries with a reference authoritative dataset, i.e. the UN 2018, c) standardizing attributes to a common table of attributes, d) generating codes using GAUL Coding System, e) applying a topology and f) fill the metadata for each country. Detailed technical documentation is available **here**. **Resource constraints:** This work is made available under the Creative Commons Attribution-4.0 International license (**CC BY 4.0**). IMPORTANT – Read carefully the **Terms of Use** before using the digital data. By downloading the Global Administrative Unit Layers (GAUL) 2024 you agree to be bound by the terms and conditions contained in this document. **Online resources:** Download the data from the Google bucket GAUL 2024 Terms of Use GAUL 2024 L1 Metadata GAUL 2024 L1 ChangeLog GAUL L0 Codes 2024 - 2014 GAUL 2024 Technical Guidelines
The administrative boundaries dataset at level 1 (Sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The administrative boundaries at the level 1 dataset distinguishes States, Provinces, Departments and equivalent. The GAUL maintains global layers with a unified coding system at country, first (e.g. departments), and second administrative levels (e.g. districts). The complete metadata reference for each country, along with the specific license or Terms of Use applicable at the country level, can be accessed **here**. **Data publication:** 2026-05-20 **Supplemental Information:** GAUL 2025 underwent a thorough review of administrative boundaries. Sources and point of contacts were cross-checked, and original references were verified. This process resulted in several updates, which are described in detail in the [**changeLog**]( https://data.apps.fao.org/catalog/dataset/0309530a-fc32-4115-8f68-0dffcdbaca15/resource/e02f4beb-6576-4d9f-a936-f17e5d3e5272/download/gaul_2025_l1_changelog.docx). As part of this revision, some codes were deprecated and new codes were assigned. The list of deprecated codes is available [**here**]( https://data.apps.fao.org/catalog/dataset/0309530a-fc32-4115-8f68-0dffcdbaca15/resource/9a270895-ae2f-404d-89fe-526e0eff9aa6/download/gaul_2025_l1_list_of_deprecated_codes.xlsx), while the list of new codes is available **here**. As explained in the technical documentation, changes in polygon geometry trigger the assignment of new codes, even in cases where the polygon name, or part of it, remains unchanged. **Citation:** FAO. 2025. Global Administrative Unit Layers (GAUL). [Accessed on [DD Month YYYY]]. https://data.apps.fao.org. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) **Data lineage:** The overall GAUL methodology consists in a) collecting the best available data from most reliable sources, b) assemble national datasets into a common dataset by matching international boundaries with a reference authoritative dataset, i.e. the UN 2018, c) standardizing attributes to a common table of attributes, d) generating codes using GAUL Coding System, e) applying a topology and f) fill the metadata for each country. Detailed technical documentation is available **here**. **Resource constraints:** This work is made available under the Creative Commons Attribution-4.0 International license (**CC BY 4.0**). IMPORTANT – Read carefully the **Terms of Use** before using the digital data. By downloading the Global Administrative Unit Layers (GAUL) 2025 you agree to be bound by the terms and conditions contained in this document. **Online resources:** Download the data from the Google bucket GAUL 2025 Terms of Use GAUL 2025 L1 Metadata List of changes by country List of new assigned codes from GAUL 2024 List of deprecated codes from GAUL 2024 GAUL 2024 Technical Guidelines
The administrative boundaries dataset at level 2 (Sub-national level) is part of the Global Administrative Unit Layers (GAUL 2025) dataset series which includes information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The administrative boundaries at the level 2 dataset distinguishes States, Provinces, Departments and equivalent. The GAUL maintains global layers with a unified coding system at country, first (e.g. departments), and second administrative levels (e.g. districts). The complete metadata reference for each country, along with the specific license or Terms of Use applicable at the country level, can be accessed **here**. **Data publication:** 2026-05-21 **Supplemental Information:** GAUL 2025 underwent a thorough review of administrative boundaries. Sources and point of contacts were cross-checked, and original references were verified. This process resulted in several updates, which are described in detail in the [**changeLog**]( https://data.apps.fao.org/catalog/dataset/03bc8f0e-0d3d-4211-80b5-2e51b71c08d7/resource/99e8130d-0032-4e0a-a4d8-a87f782ac220/download/gaul_2025_l2_changelog.docx). As part of this revision, some codes were deprecated and new codes were assigned. The list of deprecated codes is available [**here**]( https://data.apps.fao.org/catalog/dataset/03bc8f0e-0d3d-4211-80b5-2e51b71c08d7/resource/73076010-dba7-4fc3-aa8d-93ed54da64d6/download/gaul_2025_l2_deprecated_codes.xlsx), while the list of new codes is available **here**. As explained in the technical documentation, changes in polygon geometry trigger the assignment of new codes, even in cases where the polygon name, or part of it, remains unchanged. **Citation:** FAO. 2025. Global Administrative Unit Layers (GAUL). [Accessed on [DD Month YYYY]]. https://data.apps.fao.org. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) **Data lineage:** The overall GAUL methodology consists in a) collecting the best available data from most reliable sources, b) assemble national datasets into a common dataset by matching international boundaries with a reference authoritative dataset, i.e. the UN 2018, c) standardizing attributes to a common table of attributes, d) generating codes using GAUL Coding System, e) applying a topology and f) fill the metadata for each country. Detailed technical documentation is available **here**. **Resource constraints:** This work is made available under the Creative Commons Attribution-4.0 International license (**CC BY 4.0**). IMPORTANT – Read carefully the **Terms of Use** before using the digital data. By downloading the Global Administrative Unit Layers (GAUL) 2025 you agree to be bound by the terms and conditions contained in this document. **Online resources:** Download the data from the Google bucket GAUL 2025 Terms of Use GAUL 2025 L2 Metadata List of changes by country List of new assigned codes from GAUL 2024 List of deprecated codes from GAUL 2024 GAUL 2024 Technical Guidelines
The Office of the Geographer and Global Issues at the U.S. Department of State produces the Large Scale International Boundaries (LSIB) dataset. The current edition is version 11.4 (published 24 February 2025). These data and generalized derivatives are the only international boundary lines approved for U.S. Government use. The contents of this dataset reflect U.S. Government policy on international boundary alignment, political recognition, and dispute status. They do not necessarily reflect de facto limits of control. Sources for these data include treaties, relevant maps, and data from boundary commissions and national mapping agencies. Where available and applicable, the dataset incorporates information from courts, tribunals, and international arbitrations. The research and recovery process involves analysis of satellite imagery and elevation data. Due to the limitations of source materials and processing techniques, most lines are within 100 meters of their true position on the ground. For more information please see: https://geodata.state.gov/geonetwork/srv/eng/catalog.search#/metadata/3bdb81a0-c1b9-439a-a0b1-85dac30c59b2
This layer contains subdivision boundaries within the City of Fort Worth as well as in adjacent municipalities. The layer is used to provide spatial context for properties in adjacent cities and surrounding areas. Attribute and geometry information are compiled from available external sources to support planning coordination, development review, and regional analysis.
Data from 'gaul:gaul1' **Data publication:** 2026-08-25 **Supplemental Information:** - root - Root Catalog - Parent Catalog **Contact points:** **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:**
This layer shows the different administrative boundaries (levels: 1) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.
This layer shows the different administrative boundaries (levels: 2) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.
Country border crossing points. The boundaries and names included in this web service do not imply official endorsement or acceptance by the United Nations.
“Wood fiber concession” refers to an area allocated by a government or other body for establishment of fast-growing tree plantations for the production of timber and wood pulp for paper and paper products. This data set displays wood fiber concessions as a single layer assembled by aggregating concession data for multiple countries. The data may come from government agencies, NGOs, or other organizations and varies by date and source. As available, additional source information is linked below: - Cambodia - Malaysia If you are aware of concession data for additional countries, please email us [here](mailto:gnw@wri.org). Displays boundaries of areas allocated by governments to private companies for tree plantations for production of timber and wood pulp for paper and paper products.
Bonaire, Sint Eustatius and Saba administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: The time period of the dataset is based on the 10 October 2010 dissolution of the former Netherlands Antilles. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from www.gadm.org Vetting by Information Technology Outreach Services (ITOS) with funding from USAID. There is no suitable population statistics dataset (COD-PS) for linkage to this COD-AB.. As this is an island country, no edge-matched (COD-EM) version of this COD-AB is required. Please see the COD Portal. Administrative level 1 contains 3 feature(s). The normal administrative level 1 feature type is 'currently not known'. Recommended cartographic projection: North America Albers Equal Area Conic This metadata was last updated on January 17, 2025.
“Oil palm concession” refers to an area allocated by a government or other body for industrial-scale oil palm plantations. This data set displays oil palm concessions as a single layer assembled by aggregating concession data for multiple countries. The data may come from government agencies, NGOs, or other organizations and varies by date and data sources. Only active or available concessions are included in this layer. Inactive or expired concessions are excluded as defined by the dataset source. As available, additional data source information is linked below: - Cambodia - Cameroon - Democratic Republic of the Congo - Malaysia If you are aware of concession data for additional countries, please email us [here](mailto:gnw@wri.org). Displays boundaries of areas allocated by governments to companies for oil palm plantations.