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  • Updated 5 March 2021 | Dataset date: March 05, 2021-March 05, 2021
    This dataset updates: Every day
    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 5 March 2021 | Dataset date: August 14, 2021-August 14, 2021
    This dataset updates: Every day
    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 source place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated Live | Dataset date: March 05, 2021-March 05, 2021
    This dataset updates: Live
    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 source place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Updated 5 March 2021 | Dataset date: March 05, 2021-March 05, 2021
    This dataset updates: Every day
    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 5 March 2021 | Dataset date: March 05, 2021-March 05, 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: place name population source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 5 March 2021 | Dataset date: March 05, 2021-March 05, 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: place name population source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 30+ Downloads
    Updated 24 February 2021 | Dataset date: February 24, 2021-February 24, 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 place population 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 February 2021 | Dataset date: March 07, 2021-March 07, 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: is_in source name place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • Updated 7 February 2021 | Dataset date: May 01, 2018-July 31, 2018
    This dataset updates: Never
    The Government of Sudan and the international community are working together to jointly support durable solutions for Darfurs internally displaced people. The commitment is rooted in the Doha Document for Peace in Darfur (DDPD) from 2011, signed by the Government of Sudan, other major parties to the conflict and the international community, and which sets out the framework for peace in Darfur. The peace agreement and the Darfur Development Strategy (DDS) that followed constitute political commitments to support durable peace and development in Darfur. This pledge has resulted in piloting a durable solutions process in El Fasher in North Darfur. To reach durable solutions and end displacement, long-term planning based on agreed and jointly-owned comprehensive data is needed. To establish an agreed evidence base, a collaborative profiling approach was adopted that brought actors together to ensure trust and ownership of the results of the profiling exercise. An important aspect of this durable solutions profiling is that it places IDPs centre-stage alongside the two other major stakeholdersthe Government of Sudan and the international communitypermitting the profiling results and recommendations to be owned and signed off by all parties. The durable solutions profiling exercise in El Fasher makes up step two: getting better informed about the displacement affected communities in the five-stage durable solutions process. The survey included 3002 households. It specifically aims to: provide a comprehensive profile of IDPs residing in Abu Shouk and El Salaam IDP camps; develop a better understanding of IDPs vulnerabilities, coping mechanisms, capacities and provide insight into IDPs perceptions and their future settlement intentions; provide a jointly agreed upon data set to help inform durable solutions programming responses; pilot a profiling exercise of displacement and joint durable solutions planning that could be replicated in other Sudan contexts with displaced populations.
  • 10+ Downloads
    Updated 7 February 2021 | Dataset date: June 04, 2018-June 14, 2018
    This dataset updates: Never
    This report presents the findings of the profiling activities conducted from June to August 2018 in communities hosting internally displaced persons (IDPs) of the Marawi conflict and return communities in the provinces of Lanao del Sur, Lanao del Norte, Misamis Oriental and Bukidnon. Data was collected through structured interviews with IDP households using the kobo™ tool. Primary respondents were heads of households and in their absence, any person of legal age in the family. A total of 34,785 heads of households were interviewed in the profiling activity, representing 97,126 IDPs in 56 municipalities and 3 cities. This report presents data on demographic makeup of the IDPs such as age, sex, number of households, and family size, as well as protection information relating to displacement location, place of origin, resettlement, integration; various vulnerabilities of persons with special needs; educational attainment; income livelihood and skills; access to assistance; access to information; civil documentation; property ownership; intent to return; access to information, assistance received, and sources of assistance. Special focus is given on children and women in separate sections of this report. A significant number of IDPs continue to experience gaps in assistance related to health, education, shelter and long-term livelihood support. Also, IDPs continue to experience protection risks due to lack of civil documentation due to loss or destruction of birth certificates. A more nuanced and targeted approach that will address specific protection needs of IDPs is needed.
  • Updated 5 February 2021 | Dataset date: March 07, 2021-March 07, 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: is_in source name place population This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 3800+ Downloads
    Updated 26 January 2021 | Dataset date: April 28, 2020-October 19, 2021
    This dataset updates: Every year
    Sourced from GAUL. P-codes harmonization by UNHCR FICSS towards enhanced integration between different systems and humanitarian agencies. P-coded reformulated by UNICEF. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
  • 30+ Downloads
    Updated 8 January 2021 | Dataset date: September 01, 2021-September 01, 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: population place name source is_in This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 500+ Downloads
    Updated 30 November 2020 | Dataset date: October 05, 2008-October 05, 2008
    This dataset updates: Every year
    Ces fichiers représentent les différents chefs lieux de régions de Côte d'voire selon les Districts. Ces fichiers ont été mise à jour par OCHA-CI en collaboration avec le CNTIG et ITOS.
  • 50+ Downloads
    Updated 28 November 2020 | Dataset date: November 27, 2020-November 27, 2020
    This dataset updates: Never
    Izabal department (GT-IZ), Guatemala: AI predictions of building footprint on Bing Maps images (approximately 2016-2019), see https://github.com/rodekruis/automated-building-detection. Produced in support to DRRT Guatemala for hurricane Eta and Iota. Coordinate reference system: WGS 84 / EPSG:4326
  • 50+ Downloads
    Updated 20 November 2020 | Dataset date: November 20, 2020-November 20, 2020
    This dataset updates: Never
    Southern Guatemala: AI predictions of building footprint on Bing Maps images (approximately 2016-2019), see https://github.com/rodekruis/automated-building-detection. Produced in support to DRRT Guatemala for hurricane Eta and Iota. Coordinate reference system: WGS 84 / EPSG:4326
  • 100+ Downloads
    Updated 17 November 2020 | Dataset date: July 26, 2020-July 26, 2020
    This dataset updates: As needed
    Sudan Settlement 26 July 2020
  • 50+ Downloads
    Updated 13 November 2020 | Dataset date: November 13, 2020-November 13, 2020
    This dataset updates: As needed
    Honduras Open Street Map populated places P-coded to COD-AB SEE CAVEATS Populated Places extracted from Open Street Map (OSM) by MapAction P-coded from the Honduras - Subnational Administrative Boundaries Common Operational Dataset. SEE CAVEATS
  • 1200+ Downloads
    Updated 13 November 2020 | Dataset date: December 31, 2008-October 19, 2021
    This dataset updates: Every year
    Bahrain - Administrative Boundaries (levels 0-1), Populated Places
  • 90+ Downloads
    Updated 9 November 2020 | Dataset date: November 09, 2020-November 09, 2020
    This dataset updates: As needed
    This is an updated version of the previous V01 Alpha release. This update was made to increase the buffer size around the hamlets to align with the population grid and be consistent with the other settlement extents published by GRID3. This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative inMozambique. 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/ Data Set Citation : Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Mozambique Settlement Extents, V02 Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building footprints “Digitize Africa data © 2020 Maxar Technologies, Ecopia.AI". DOI: https://doi.org/10.7916/d8-37sa-gy34. Accessed DAY MONTH YEAR
  • 10+ Downloads
    Updated 1 November 2020 | Dataset date: September 03, 2021-September 03, 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: is_in source place population name This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • 40+ Downloads
    Updated 30 September 2020 | Dataset date: September 30, 2020-September 30, 2020
    This dataset updates: As needed
    NOTE: This initial version of the Mauritania settlement extents has been superseded by the final version, "GRID3 Mauritania Settlement Extents, Version 01", now available here: https:// data.humdata.org/dataset/grid3-mauritania-settlement-extents-version-01 This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Mauritania. 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 Mauritania 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-hzv3-f435 . Accessed DAY MONTH YEAR
  • 100+ Downloads
    Updated 2 September 2020 | Dataset date: August 31, 2020-August 31, 2020
    This dataset updates: As needed
    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/
  • 4800+ Downloads
    Updated 21 August 2020 | Dataset date: August 14, 2019-August 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
  • 1400+ Downloads
    Updated 21 August 2020 | Dataset date: July 22, 2014-July 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.