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  • Updated 6 January 2022 | Dataset date: August 02, 2022-August 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 is_in place source 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: 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
  • 10000+ Downloads
    Updated 31 December 2021 | Dataset date: July 01, 2021-August 17, 2022
    This dataset updates: Every year
    West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations. West and Central Africa settlements with administrative capitals
  • 800+ Downloads
    Updated 31 December 2021 | Dataset date: October 31, 2021-August 17, 2022
    This dataset updates: Every year
    The villages and towns of Niger with harmonized PCODE of ROWCA and codification of capitals. The data of administrative boundaries comes from IGNN and is updated by OCHA/ROWCA.
  • 1500+ Downloads
    Updated 31 December 2021 | Dataset date: February 02, 2015-August 17, 2022
    This dataset updates: Every year
    Mali Settlements Populated places for Mali (Settlements, including villages) that include pcodes. Available in multiple formats that contains all admin levels, each comes with a quality report, and a look up table that idenitifes admin level information. There are duplicate names that have different pcodes, this accurate and has been verified. Admin COD datasets for Mali endorsed by IMWG depending in 2015; see metadata for description of cleaning and processing performed by ITOS.
  • 6600+ Downloads
    Updated 31 December 2021 | Dataset date: November 13, 2018-August 17, 2022
    This dataset updates: Every year
    Libya administrative level 0 (country), 1 (province), and 2 (governorate / muhafazat) , EMF files, geodatabase, live services, and gazetteer Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID. Libya populated places level 3 (baladiya) point geodatabase
  • 500+ Downloads
    Updated 30 December 2021 | Dataset date: February 11, 2015-April 15, 2019
    This dataset updates: Every year
    Admin COD datasets for BFA endorsed by RO on October 2015; see metadata for description of cleaning and processing performed by ITOS.
  • 20+ Downloads
    Updated 30 December 2021 | Dataset date: August 01, 2022-August 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 is_in place source population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Updated 30 December 2021 | Dataset date: December 30, 2021-December 30, 2021
    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 28 December 2021 | Dataset date: December 28, 2021-December 28, 2021
    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 27 December 2021 | Dataset date: December 27, 2021-December 27, 2021
    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.
  • 20+ Downloads
    Updated 27 December 2021 | Dataset date: December 27, 2021-December 27, 2021
    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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 50+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 30+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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.
  • 30+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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 São Tomé and Príncipe Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-bmr9-0s52 . Accessed DAY MONTH YEAR.
  • 40+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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 Sudan Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-khpa-pq09 . Accessed DAY MONTH YEAR.
  • 50+ Downloads
    Updated 21 December 2021 | Dataset date: December 21, 2021-August 17, 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 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 Somalia Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-xjcd-tc32 . Accessed DAY MONTH YEAR.