Search for a Dataset - Humanitarian Data Exchange

French Guiana - Subnational Population Statistics

OCHA Latin America and the Caribbean (ROLAC)

COD 1300+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

French Guiana administrative level 0-2 2016 sex and age disaggregated population statistics REFERENCE YEAR: 2016 These tables are suitable for database and GIS linkage to the French Guiana - Subnational Administrative Boundaries.

XLSX
CSV

Martinique - Subnational Population Statistics

OCHA Latin America and the Caribbean (ROLAC)

COD 1400+ Downloads

Time Period of the Dataset [?]: January 01, 2016-December 31, 2016 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Martinique administrative level 0 (territory), 1 (arrondissement), and 2 (commune) 2016 sex and age dissaggregated population statistics REFERENCE YEAR: 2016 These tables are suitable for database or GIS linkage to the Martinique administrative level 0-2 boundaries. Version history: 17 February: Update from IGN 9 September 2017: Initial upload from www.gadm.org

XLSX
CSV

Sint Maarten (Dutch part) - Subnational Population Statistics

OCHA Field Information Services Section (FISS)

COD 900+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Sint Maarten administrative level 0 (constituent country), 1 (district), and 2 (sub-district) disaggregated population statistics and gazetteer These administrative level 0 and 1 CSV tables are suitable for database or GIS linkage to the Sint Maarten administrative level 0-1 boundaries shapefiles.

XLSX
CSV

Somalia - Subnational Population Statistics

OCHA Somalia

COD 7500+ Downloads

Time Period of the Dataset [?]: January 01, 2005-December 31, 2021 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Population Statistics

The United Nations Population Fund (UNFPA) partnered with donors and UN agencies and took up the lead role to support the Somali authorities in undertaking the Population Estimation Survey (PESS) for Somalia in October 2013- March 2014. REFERENCE YEAR: 2014 UNFPA investigated replacement or projection of this dataset in 2021. Only ADM0 (national) data was available. No better alternative is currently available. PESS gathered basic critical information on the Somalis living in urban, rural and nomadic areas (interviewed at water points during the peak of the long, dry season), and in settlements for internally displaced persons. One standard questionnaire was used in selected enumeration areas or pre-identified areas. Data was collected in three main phases: cartographic field mapping, household listing in the sampled areas, and the interviewing of households using the standard questionnaire. PESS report by UNFPA had only the population estimate at regional level (Admin level 1). With the demand to get this data disaggregated to district level to enhance assessment and in particular assessments of people in food insecure by FAO-FSNAU, the district data was interpolated using FSNAU livelihood information embedded in the 2005 UNDP district level population data

CSV
XLSX

Myanmar - Subnational Population Statistics

UNFPA

COD 3700+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Myanmar administrative level 0-3 sex and age disaggregated projected 2022 population statistics REFERENCE YEAR: 2022 These population statistics are suitable for database or GIS linkage to the Myanmar - Subnational Administrative Boundaries or the Myanamar - Subnational Edge-matched Administrative Boundaries administrative level 0-3 layers using the ADM0, ADM1, ADM2, and ADM3_PCODE fields. The COD-AB and COD-EM layers manages both 15-feature and 18-feature administrative level 1 systems. These COD-PS tables conform to the 18-feature system. See caveats for further information.

XLSX
CSV

Seychelles - Subnational Population Statistics

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD 1500+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Seychelles - Subnational Population Statistics REFERENCE YEAR: 2019 These tables are suitable for database or GIS linkage to the Seychelles - Subnational Administrative Boundaries.

XLSX
CSV

Bahamas - Subnational Population Statistics

UNFPA

COD 500+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Bahamas administrative level 0 age and sex disaggregated 2022 projected population statistics REFERENCE YEAR 2022

Barbados - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD 900+ Downloads

Time Period of the Dataset [?]: September 07, 2017-January 25, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Barbados administrative level 0-1 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB P-codes created by OCHA and are not official. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from GADM database of Global Administrative Areas (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 Barbados 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 11 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.

Gabon - Subnational Population Statistics

UNFPA

COD 700+ Downloads

Time Period of the Dataset [?]: January 01, 2022-December 31, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Gabon administrative level 0-2 sex and age disaggregated projected 2022 population statistics REFERENCE YEAR: 2022 These tables are suitable for database or GIS linkage to the Gabon - Subnational Administrative Boundaries layers using the ADM0 and ADM1_PCODE fields.

XLSX
CSV

Rwanda - Subnational Administrative Boundaries

OCHA Regional Office for Southern and Eastern Africa (ROSEA)

COD 4800+ Downloads

Time Period of the Dataset [?]: September 27, 2018-January 25, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Rwanda administrative level 0-4 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: COD-AB extends to ADM4. COD-PS extends to ADM3. This COD-AB has NOT been reviewed for accuracy and necessary changes in the last 12 months. Sourced from National Institute of Statistics of Rwanda (NISR). 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 Rwanda 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 5 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 30 feature(s). The normal administrative level 2 feature type is ""currently not known"". Administrative level 3 contains 416 feature(s). The normal administrative level 3 feature type is ""currently not known"". Administrative level 4 contains 1,000 feature(s). The normal administrative level 4 feature type is ""currently not known"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

GRID3 Democratic Republic of the Congo Settlement Extents, Version 01.02

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 100+ Downloads

Time Period of the Dataset [?]: April 04, 2022-January 25, 2025 ... More

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 data product contains all information contained in the previous “GRID3 Democratic Republic of the Congo Settlement Extents, Version 01.01” product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex in Kinshasa, Kongo-Central, Kwango, Kwilu, and Mai-Ndombe provinces . 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. 2022. GRID3 Democratic Republic of the Congo Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/hbr4-ve53 . Accessed DAY MONTH YEAR

GRID3 Nigeria Settlement Extents, Version 01.02

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 100+ Downloads

Time Period of the Dataset [?]: April 04, 2022-January 25, 2025 ... More

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 data product contains all information contained in the previous “GRID3 Nigeria Settlement Extents, Version 01.01” product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for Age and Sex. 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. 2022. GRID3 Nigeria Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/1tb8-bm49 . Accessed DAY MONTH YEAR

GRID3 Senegal Settlement Extents, Version 01.02

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 80+ Downloads

Time Period of the Dataset [?]: April 04, 2022-January 25, 2025 ... More

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 data product contains all information contained in the previous “GRID3 Senegal Settlement Extents, Version 01.01” product, with updates. Updates in this version include: The addition of the WorldPop GRID3 Gridded Population Estimates for total population and by sex. 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. 2022. GRID3 Senegal Settlement Extents, Version 01.02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/5jy1-7y15 . Accessed DAY MONTH YEAR

RDC - Statistiques des Populations par Zones de Santé

OCHA Democratic Republic of the Congo (DRC)

COD 7900+ Downloads

Time Period of the Dataset [?]: September 10, 2019-January 25, 2025 ... More

This dataset updates: As needed

Statistiques des populations : population désagrégée par âge et sexe pour toutes les zones de santé du pays.

XLSX
SHP

Tonga - Subnational Administrative Boundaries

OCHA Office of the Pacific Islands

COD 1800+ Downloads

Time Period of the Dataset [?]: January 01, 2021-January 22, 2022 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Tonga administrative level 0-3 boundaries (COD-AB) dataset. These administrative boundaries were established in: 2021 NOTE: OCHA's Regional Office for the Caucasus and Central Asia is maintaining a dataset with the geographical boundaries of administrative levels 1 and 2 for preparedness purposes, but is not allowed to make it public. In case of a major humanitarian emergency, this geographical dataset will be shared with humanitarian agencies. 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 Secretariat of the Pacific Community, Statistics for Development Division, and Department of Lands. 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 Tonga 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 5 feature(s). The normal administrative level 1 feature type is ""Divisition"". Administrative level 2 contains 23 feature(s). The normal administrative level 2 feature type is ""District"". Administrative level 3 contains 166 feature(s). The normal administrative level 3 feature type is ""Village"". Recommended cartographic projection: Oceania This metadata was last updated on January 13, 2025.

Sao Tome and Principe - Subnational Administrative Boundaries

OCHA West and Central Africa (ROWCA)

COD 1200+ Downloads

Time Period of the Dataset [?]: August 17, 2020-January 25, 2025 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Sao Tome and Principe administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. 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 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 Sao Tome and Principe 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 2 feature(s). The normal administrative level 1 feature type is ""Province"". Administrative level 2 contains 8 feature(s). The normal administrative level 2 feature type is ""District"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 13, 2025.

Gabon - Subnational Administrative Boundaries

OCHA West and Central Africa (ROWCA)

COD 3300+ Downloads

Time Period of the Dataset [?]: February 17, 2015-January 25, 2025 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Gabon administrative level 0-2 boundaries (COD-AB) dataset. The date that these administrative boundaries were established is unknown. NOTE: See COD-PS caveats about Libreville data. 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 Second Administrative Level Boundaries (SALB) 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 Gabon 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 9 feature(s). The normal administrative level 1 feature type is ""currently not known"". Administrative level 2 contains 48 feature(s). The normal administrative level 2 feature type is ""currently not known"". Recommended cartographic projection: Africa Albers Equal Area Conic This metadata was last updated on January 9, 2025.

GRID3 Zimbabwe Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 80+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Zimbabwe Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-dg56-b652 . Accessed DAY MONTH YEAR.

GRID3 Zambia Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 90+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Zambia Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-18p8-6m89 . Accessed DAY MONTH YEAR.

GRID3 South Africa Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 90+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 South Africa Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-hcgb-9g94 . Accessed DAY MONTH YEAR.

GRID3 Uganda Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 90+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Uganda Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-21xq-y193. Accessed DAY MONTH YEAR.

GRID3 Tanzania Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 100+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Tanzania Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-vhma-fw24. Accessed DAY MONTH YEAR.

GRID3 Togo Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 70+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Togo Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-v1p4-sr56 . Accessed DAY MONTH YEAR.

GRID3 Chad Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 60+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Chad Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-1ma4-hp72 . Accessed DAY MONTH YEAR.

GRID3 Eswatini Settlement Extents, Version 01.01

GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)

COD 60+ Downloads

Time Period of the Dataset [?]: December 21, 2021-January 25, 2025 ... More

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 Eswatini Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-ttwa-vd54 . Accessed DAY MONTH YEAR.