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  • COD 90+ Downloads
    Time Period of the Dataset [?]: December 20, 2021-February 15, 2025 ... More
    Modified [?]: 20 December 2021
    Dataset Added on HDX [?]: 20 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Eritrea Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-9m93-hs25. Accessed DAY MONTH YEAR.
  • COD 70+ Downloads
    Time Period of the Dataset [?]: December 20, 2021-February 15, 2025 ... More
    Modified [?]: 20 December 2021
    Dataset Added on HDX [?]: 20 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Djibouti Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-p4yc-bd97. Accessed DAY MONTH YEAR.
  • COD 40+ Downloads
    Time Period of the Dataset [?]: December 20, 2021-February 15, 2025 ... More
    Modified [?]: 20 December 2021
    Dataset Added on HDX [?]: 20 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Comoros Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-t1yz-k248 . Accessed DAY MONTH YEAR.
  • COD 50+ Downloads
    Time Period of the Dataset [?]: December 20, 2021-February 15, 2025 ... More
    Modified [?]: 20 December 2021
    Dataset Added on HDX [?]: 20 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Republic of the Congo Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-gzbm-8y12 . Accessed DAY MONTH YEAR.
  • COD 40+ Downloads
    Time Period of the Dataset [?]: December 17, 2021-February 15, 2025 ... More
    Modified [?]: 17 December 2021
    Dataset Added on HDX [?]: 17 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Burkina Faso Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-qfq8-4789 . Accessed DAY MONTH YEAR.
  • COD 60+ Downloads
    Time Period of the Dataset [?]: December 17, 2021-February 15, 2025 ... More
    Modified [?]: 17 December 2021
    Dataset Added on HDX [?]: 17 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Cameroon Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-1a2h-t505 . Accessed DAY MONTH YEAR.
  • COD 70+ Downloads
    Time Period of the Dataset [?]: December 17, 2021-February 15, 2025 ... More
    Modified [?]: 17 December 2021
    Dataset Added on HDX [?]: 17 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Côte d'Ivoire Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-y7wv-4398 . Accessed DAY MONTH YEAR.
  • COD 70+ Downloads
    Time Period of the Dataset [?]: December 17, 2021-February 15, 2025 ... More
    Modified [?]: 17 December 2021
    Dataset Added on HDX [?]: 17 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Central African Republic Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-hc00-0372 . Accessed DAY MONTH YEAR.
  • COD 50+ Downloads
    Time Period of the Dataset [?]: December 17, 2021-February 15, 2025 ... More
    Modified [?]: 17 December 2021
    Dataset Added on HDX [?]: 17 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Botswana Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-seam-2q42 . Accessed DAY MONTH YEAR.
  • COD 70+ Downloads
    Time Period of the Dataset [?]: December 15, 2021-February 15, 2025 ... More
    Modified [?]: 15 December 2021
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Benin Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-r2mb-3n26 . Accessed DAY MONTH YEAR
  • COD 50+ Downloads
    Time Period of the Dataset [?]: December 15, 2021-February 15, 2025 ... More
    Modified [?]: 15 December 2021
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Burundi Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). http://doi.org/10.7916/d8-1c2a-3m65 . Accessed DAY MONTH YEAR
  • COD 60+ Downloads
    Time Period of the Dataset [?]: December 15, 2021-February 15, 2025 ... More
    Modified [?]: 15 December 2021
    Dataset Added on HDX [?]: 15 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 Angola Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-wz1v-pq94 . Accessed DAY MONTH YEAR.
  • COD 800+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2030 ... More
    Modified [?]: 3 December 2021
    Dataset Added on HDX [?]: 2 December 2021
    This dataset updates: As needed
    Population Projections by sex and age at the municipal level for this department: 2015-2030. Produced by the National Statistical Office with the support of ECLAC and UNFPA. https://www.ine.gob.gt/ine/proyecciones/
  • COD 800+ Downloads
    Time Period of the Dataset [?]: September 07, 2017-February 15, 2025 ... More
    Modified [?]: 2 December 2021
    Dataset Added on HDX [?]: 7 September 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Dominica administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from (Source to be clarified.) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Dominica COD-PS. 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 10 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 9, 2025.
  • COD 500+ Downloads
    Time Period of the Dataset [?]: October 12, 2021-October 12, 2021 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 12 October 2021
    This dataset updates: As needed
    Limites de la République Démocratique du Congo et de 20 pays avoisinants, extraites de la base de données OpenStreetMap et mises à disposition pour faciliter la cartographie.
  • COD 2100+ Downloads
    Time Period of the Dataset [?]: January 12, 2018-February 15, 2025 ... More
    Modified [?]: 29 September 2021
    Dataset Added on HDX [?]: 12 January 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Solomon Islands administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2018 This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from Solomon Islands National Statistics Office (SINSO), 2009 Census of Population and Housing Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Solomon Islands COD-PS. 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 10 feature(s). The normal administrative level 1 feature type is ""Province or Capital Territory"". Administrative level 2 contains 50 feature(s). The normal administrative level 2 feature type is ""Constituency"". Administrative level 3 contains 183 feature(s). The normal administrative level 3 feature type is ""currently not known"". Recommended cartographic projection: Oceania This metadata was last updated on January 13, 2025.
  • COD 1700+ Downloads
    Time Period of the Dataset [?]: September 08, 2017-February 15, 2025 ... More
    Modified [?]: 29 September 2021
    Dataset Added on HDX [?]: 8 September 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Trinidad and Tobago administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about Tobago parish treatment. This COD-AB was most recently reviewed for accuracy and necessary changes in November 2024. The COD-AB does not require any update. Sourced from www.gadm.org Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Trinidad and Tobago COD-PS. 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 15 feature(s). The normal administrative level 1 feature type is ""Parish"". Recommended cartographic projection: North America Albers Equal Area Conic This metadata was last updated on January 13, 2025.
  • COD 7400+ Downloads
    Time Period of the Dataset [?]: July 12, 2018-February 15, 2025 ... More
    Modified [?]: 29 September 2021
    Dataset Added on HDX [?]: 12 July 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Uzbekistan administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about sex and age disaggregation and feature name translations. COD-PS to be updated shortly. This COD-AB was most recently reviewed for accuracy and necessary changes in January 2024. The COD-AB does not require any update. Sourced from OCHA Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Uzbekistan COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 14 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 199 feature(s). The normal administrative level 2 feature type is ""currently not known"". Recommended cartographic projection: Asia South Albers Equal Area Conic This metadata was last updated on January 13, 2025.
  • COD 400+ Downloads
    Time Period of the Dataset [?]: September 08, 2017-February 15, 2025 ... More
    Modified [?]: 29 September 2021
    Dataset Added on HDX [?]: 8 September 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Curaçao administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from www.gadm.org Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Curaçao COD-PS. 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 66 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 18, 2025.
  • COD 1300+ Downloads
    Time Period of the Dataset [?]: August 09, 2020-February 15, 2025 ... More
    Modified [?]: 28 September 2021
    Dataset Added on HDX [?]: 16 March 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Mauritius administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB contains uninhabited features not represented in COD-PS. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from Statistics Mauritius Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Mauritius COD-PS. 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 12 feature(s). The normal administrative level 1 feature type is ""currently not known"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.
  • COD 3000+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-October 31, 2024 ... More
    Modified [?]: 24 September 2021
    Dataset Added on HDX [?]: 16 October 2015
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Fiji administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2017 This COD-AB was most recently reviewed for accuracy and necessary changes in October 2024. The COD-AB does not require any update. Sourced from POPGIS, Fiji Islands Bureau of Statistics, Pacific Catastrophe Risk Assessment and Financing Initiative (PCRAFI) Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Fiji COD-PS. 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 4 feature(s). The normal administrative level 1 feature type is ""Province"". Administrative level 2 contains 15 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 86 feature(s). The normal administrative level 3 feature type is ""Tikinia"". Recommended cartographic projection: Oceania This metadata was last updated on January 9, 2025.
  • COD 1300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 22 July 2021
    Dataset Added on HDX [?]: 13 January 2020
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Population Statistics
    Kiribati administrative level 0-3 sex and age disaggregated 2020 projected population statistics REFERENCE YEAR: 2020 These tables are suitable for database or GIS linkage to the Kiribati - Subnational Administrative Boundaries.
  • COD 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 12 July 2021
    Dataset Added on HDX [?]: 19 April 2018
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Population Statistics
    Guyana administrative level 0 (country), 1 (region) population statistics REFERENCE YEAR: 2021 These (administrative levels 0 and 1) tables are suitable for database or GIS joins to the Guyana - Subnational Administrative Boundaries
  • COD 1700+ Downloads
    Time Period of the Dataset [?]: June 23, 2021-February 15, 2025 ... More
    Modified [?]: 23 June 2021
    Dataset Added on HDX [?]: 3 October 2017
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Guyana administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: Administrative level 2 cannot be reconciled between the COD-AB and COD-PS. This COD-AB was most recently reviewed for accuracy and necessary changes in November 2024. The COD-AB does not require any update. Sourced from DEVInfo LAC project Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Guyana COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 10 feature(s). The normal administrative level 1 feature type is ""Region"". Administrative level 2 contains 27 feature(s). The normal administrative level 2 feature type is ""currently not known"". Recommended cartographic projection: South America Albers Equal Area Conic This metadata was last updated on January 9, 2025.
  • COD 1900+ Downloads
    Time Period of the Dataset [?]: May 18, 2021-February 15, 2025 ... More
    Modified [?]: 18 May 2021
    Dataset Added on HDX [?]: 18 May 2021
    This dataset updates: Every year
    This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries
    Botswana administrative level 0-3 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from UNFPA Live geoservices (provided by Information Technology Outreach Services (ITOS) with funding from USAID) are available for this COD-AB. Please see COD_External. (For any earlier versions please see here, here, and here.) Vetting, configuration, and geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID. This COD-AB is suitable for database or GIS linkage to the Botswana COD-PS. No edge-matched (COD-EM) version of this COD-AB has yet been prepared. Please see the COD Portal. Administrative level 1 contains 17 feature(s). The normal administrative level 1 feature type is 'currently not known'. Administrative level 2 contains 28 feature(s). The normal administrative level 2 feature type is 'currently not known'. Administrative level 3 contains 519 feature(s). The normal administrative level 3 feature type is 'currently not known'. Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 17, 2025.