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  • The "GRID3 DRC Settlements - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces, Version 01" dataset consists of settlement points with names and health catchment area attributes in the provinces of Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami in the Democratic Republic of the Congo (DRC). To conduct this work, the Center for International Earth Science Information Network (CIESIN) at Columbia University engaged with the mandated authorities in the DRC’s Ministry of Health who support data collection and development for vaccination planning. Local healthcare workers were directly involved in the mapping of the health catchment area boundaries at participatory events coordinated with in-country provincial coordinators and mappers, and in the collection of data in the field from January to July 2021. This work is part of the GRID3 Mapping for Health in the DRC project. Supported by Gavi through its INFUSE initiative, GRID3 Mapping for Health is a Ministry of Health initiative, delivered in partnership with Flowminder and CIESIN, and in collaboration with WorldPop at the University of Southampton, Kinshasa School of Public Health, UNFPA, UNOPS, and Novel-T. GRID3 Mapping for Health is a continuation of previous work conducted and/or supported in the DRC by the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The dataset consists of one layer: settlement point data and a table with the field descriptions for the layer. The data are available for download in Esri file geodatabase format packaged in zip files. File name: GRID3_DRC_settlements_names_V01.gdb The following layers are included in the gdb: codebook__settlements_names GRID3_DRC_settlements_names_5_prov_V01 Extent: Democratic Republic of the Congo: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami provinces. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of Congo, 2022. GRID3 DRC Settlements - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces Version 01. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/pvdz-4x94. Accessed DAY MONTH YEAR.
  • 400+ Downloads
    Updated 31 May 2022 | Dataset date: May 21, 2005-May 21, 2005
    This dataset updates: As needed
    Settlements with administrative Class (eg: 1=Country capital, 2=Province capital, 3=District capital…) The dataset represents the settlements of São Tomé and Principé with harmonized PCODE of ROWCA and Humanitarian Response pcodes
  • 3800+ Downloads
    Updated 5 May 2022 | Dataset date: November 30, 2015-July 05, 2022
    This dataset updates: Every year
    United Arab Emirates - Administrative Boundaries, Populated Places
  • 20+ Downloads
    Updated 4 April 2022 | Dataset date: April 04, 2022-July 05, 2022
    This dataset updates: As needed
    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
  • 20+ Downloads
    Updated 4 April 2022 | Dataset date: April 04, 2022-July 05, 2022
    This dataset updates: As needed
    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
  • 20+ Downloads
    Updated 4 April 2022 | Dataset date: April 04, 2022-July 05, 2022
    This dataset updates: As needed
    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
  • 400+ Downloads
    Updated 2 March 2022 | Dataset date: June 22, 2021-June 22, 2021
    This dataset updates: Never
    Ukraine administrative level 4 population statistics based on data from 2001 state census.
  • Updated 7 February 2022 | Dataset date: July 03, 2022-July 03, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: source is_in population place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 11000+ Downloads
    Updated 30 January 2022 | Dataset date: January 20, 2021-July 05, 2022
    This dataset updates: As needed
    This spatial database contains the outline of the camps, settlements, and sites where Rohingya refugees are staying in Cox's Bazar, Bangladesh.
  • 100+ Downloads
    Updated 14 January 2022 | Dataset date: June 01, 2022-June 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name population source place This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 14 January 2022 | Dataset date: July 01, 2022-July 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name population place is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated 13 January 2022 | Dataset date: July 01, 2022-July 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name place population source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 13 January 2022 | Dataset date: July 01, 2022-July 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name population place is_in source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 13 January 2022 | Dataset date: January 13, 2022-January 13, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name population place source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated 13 January 2022 | Dataset date: July 03, 2022-July 03, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: source is_in population place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 13 January 2022 | Dataset date: July 01, 2022-July 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name place population source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 12 January 2022 | Dataset date: July 02, 2022-July 02, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name source is_in place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 12 January 2022 | Dataset date: January 12, 2022-January 12, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name population place source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 12 January 2022 | Dataset date: July 02, 2022-July 02, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: source population name place is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated 10 January 2022 | Dataset date: January 01, 1899-January 01, 1899
    This dataset updates: Every year
    Overpass Service Query to extract from the live OpenStreetMap database the Settlement place names for Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response These links launch the Overpass Turbo web application to extract live data. Data is downloaded automatically. Rename the file called "interpreter" for better documentation of the Query content. More information
  • Updated 6 January 2022 | Dataset date: July 02, 2022-July 02, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name source is_in place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 6 January 2022 | Dataset date: July 01, 2022-July 01, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: is_in name place population source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 6 January 2022 | Dataset date: January 06, 2022-January 06, 2022
    This dataset updates: Every month
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: name population place source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 200+ Downloads
    Updated 6 January 2022 | Dataset date: May 18, 2022-May 18, 2022
    This dataset updates: Every week
    Exports contain both international, English, Russian, and Ukrainian names and transliterations in the name:en, name:ru, and name:uk keys. OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: place IN ('isolated_dwelling','town','village','hamlet','city') Features may have these attributes: place name source is_in name:ru name:en name:uk population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 27000+ Downloads
    Updated 3 January 2022 | Dataset date: January 15, 2021-January 15, 2021
    This dataset updates: Every year
    Syria Administrative boundaries for levels 0 - 4, with Arabic Names, English Names, and p-codes. Geodatabase maintains Arabic names better than shapefile Note that Admin 4 is the populated places layer. Admin Level 1= Governorate = Mohafaza Admin Level 2 = District = Mantika Admin Level 3 = Sub-district= Nahya Populated places (also known as "Admin Level 4") = City or Village Dataset organization: Administrative boundary resources (shapefiles, geodatabases. and gazetteer) are separate from the populated places shapefiles resources except the live geoservices, which provide both administrative boundaries and populated places. Most Recent Changes: 15 January 2021 ITOS geoservices, shapefile, and geodatabase for populated places ("administrative level 4") added. 12 January 2021 ITOS geoservices, shapefiles, and geodatabase added. EMF files added. ITOS gazetteer added. 18-August-2020 added 327 Communities. 21-March-2019 added 14 Communities. 19-Dec-2018 Use the Neighborhood as point loaded in the same layer/ Excel file called as a humanitarian Location added 11 Communities. 01-July-2018 added 1528 Communities and some localities moved to their accurate locations 31-Jan-2018- added 91 populated places and areas, some localities moved to their accurate locations, essential change in the admin boundary in Tartous Governorate at Admin 2 and Admin 3 1-June-2017- added 24 populated places and areas 22-Feb-2017- added three populated places and fixed some typos in admin4 and neighborhoods 04-Oct-2016 - Added two populated places 20-Sept-2016 - Built-up polygonal layer was created so that for each populated place there is a corresponding built-up poplygon; Added populated places based on feedback from humanitarian partners ; Neighborhood layer now includes 11 main cities with new p-codes ; column names follow global standard; reference names are unique both in English and Arabic 12-Jan-2014 - Shape file version posted. UTF-8 has been used to enable the correct display of Arabic characters. 19-May-2013 - New features added to Admin4 ; English Names edited to be consistent in all Admin levels; locations of few communities adjusted 07-Jan-2013 - Column with Capitals of Administrative Units (1 - 3) added to Populated Places (Admin 4). No changes. 19-Dec-2012 - Minor change: erroneous Admin 1 p-code for the populated place Arab Elmalik Jerkes (p-code = C3571) corrected (from SY010 to SY10). 12-Dec-2012 - Added neighborhoods , currently Damascus only. Added "C" as leading character of pcodes at level 4 (populated places) to ensure uniqueness. The digits remain the same from earlier versions. 24-Sep-2012 - Consolidated spelling between all 4 levels for all admin levels. Pcodes added. 24-Aug-2012 - Shapefile versions added. Exported from the geodatabase version of 30-June-2011. 30-Jun-2012 - Topology cleaned, underscores removed from admin names. Languages: EN AR