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  • Updated September 10, 2020 | Dataset date: Sep 9, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Senegal. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Senegal Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/doi:10.7916/d8-x8gh-ms26 . Accessed DAY MONTH YEAR
  • Updated September 10, 2020 | Dataset date: Sep 9, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Togo. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Togo Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-qdxc-0c73 . Accessed DAY MONTH YEAR
  • 7600+ Downloads
    Updated September 8, 2020 | Dataset date: Sep 8, 2020
    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 September 6, 2020
    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
  • 800+ Downloads
    Updated September 4, 2020 | Dataset date: Dec 31, 2008
    This dataset updates: Every year
    Bahrain - Administrative Boundaries (levels 1-2), Populated Places REFERENCE YEAR: 2008
  • 10+ Downloads
    Updated September 3, 2020 | Dataset date: Aug 31, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Tanzania. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Tanzania Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-ve7a-dm77 . Accessed DAY MONTH YEAR
  • GRID3 DRC Haut-Lomami and Tanganyika Health Catchment Area Boundaries Version 01 (Beta) dataset consists of two layers: health area boundaries and health zone boundaries. This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
  • 40+ Downloads
    Updated September 2, 2020 | Dataset date: Aug 31, 2020
    This dataset updates: As needed
    The GRID3 DRC Haut-Lomami and Tanganyika Settlements Version 01 (Beta) dataset consists of settlement points with names and health catchment area attributes in the two provinces of Haut-Lomami and Tanganyika, in the Democratic Republic of the Congo (DRC). This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
  • 900+ Downloads
    Updated August 26, 2020 | Dataset date: Feb 2, 2015
    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.
  • 3300+ Downloads
    Updated August 21, 2020 | Dataset date: Aug 14, 2019
    This dataset updates: Every year
    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 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
  • 1100+ Downloads
    Updated August 21, 2020 | Dataset date: Jul 22, 2014
    This dataset updates: Never
    These datasets are intended for coordination and operations in humanitarian activities. The purpose of this settlements list in particular is as a gazetteer for geographical reference. It is not intended as a cartographic source or as an authoritative reference list. The list is derived from IOM's placename database, which is the most extensive currently maintained placename source available for Iraq, and provides compatability with IOM's Displacement Tracking Matrix (DTM). The list does NOT contain any designations of hierarchy (e.g. governorate / district capitals) or of size (e.g. settlement size or population size). Thus, the placenames refer to a variety of populated places including cities, towns, villages and neighbourhoods. Arabic names are in the process of being added; some are included in this dataset.
  • 20000+ Downloads
    Updated August 19, 2020 | Dataset date: Jun 1, 2017
    This dataset updates: Every six months
    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 = City or Village
  • 40+ Downloads
    Updated August 12, 2020 | Dataset date: Mar 19, 2020
    This dataset updates: As needed
    The "GRID3 DRC Kongo Central Settlements Points, Version 1" provides a comprehensive dataset of settlements and their names to help target service delivery and development investments. The Kongo Central settlement layers contain settlement points and name attribute data that fall within the Kongo Central boundary and are divided into built up areas, small settlement areas, and hamlets. Data Set Citation: Bureau Central du Recensement (BCR), Democratic Republic of the Congo, and Center for International Earth Science Information Network (CIESIN), Columbia University. 2020. GRID3 DRC Kongo Central Settlement Point, Version 1. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). DOI: https://doi.org/10.7916/d8-42f6-7v44. Accessed DAY MONTH YEAR
  • Updated August 4, 2020 | Dataset date: Sep 3, 2020
    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 source is_in place This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated August 4, 2020 | Dataset date: Sep 8, 2020
    This dataset updates: Every week
    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 is_in place name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated August 4, 2020 | Dataset date: Sep 13, 2020
    This dataset updates: Every week
    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.
  • 50+ Downloads
    Updated August 4, 2020 | Dataset date: Aug 30, 2020
    This dataset updates: Every week
    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 place is_in name population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated August 4, 2020 | Dataset date: Sep 3, 2020
    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 source is_in place This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated August 4, 2020 | Dataset date: Sep 5, 2020
    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 place name population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated August 4, 2020 | Dataset date: Sep 5, 2020
    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 place name population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 10+ Downloads
    Updated August 3, 2020 | Dataset date: Aug 3, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Ethiopia. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Ethiopia Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-y936-w110. Accessed DAY MONTH YEAR
  • 10+ Downloads
    Updated August 3, 2020 | Dataset date: Aug 3, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Kenya. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Kenya Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-3tn0-1686. Accessed DAY MONTH YEAR
  • 10+ Downloads
    Updated August 3, 2020 | Dataset date: Aug 3, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Zimbabwe. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Zimbabwe Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-ryrv-dk72. Accessed DAY MONTH YEAR
  • 10+ Downloads
    Updated August 3, 2020 | Dataset date: Aug 3, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Eritrea. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Angola Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-q1sx-gb54. Accessed DAY MONTH YEAR
  • 20+ Downloads
    Updated July 23, 2020 | Dataset date: Jul 23, 2020
    This dataset updates: As needed
    This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Sudan. GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/ Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Sudan Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-bt9v-wk47. Accessed DAY MONTH YEAR