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  • Syria Refugee Sites
    U.S. Department of State - Humanitarian Information Unit
    Updated July 17, 2016 | Dataset date: Jun 11, 2015
    Data as of June 11, 2015. The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.
  • OpenStreetMap ShapeFiles for GIS softwares (Daily updates)
    Humanitarian OpenStreetMap Team (HOT)
    Updated November 24, 2015
    This data can be imported to GIS software, such as Quantum GIS or ESRI. Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response
    • SHP
    • 100+ Downloads
    • This dataset updates: Every year
  • Myanmar - Settlements
    OCHA Myanmar
    Updated August 3, 2017 | Dataset date: Feb 1, 2012-Jul 23, 2015
    Settlements in Myanmar. Town and village
  • Syria Border Crossings
    U.S. Department of State - Humanitarian Information Unit
    Updated November 24, 2015 | Dataset date: Jun 11, 2015
    Data as of June 11, 2015. The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • Myanmar - Administrative Boundary level 0 - 3
    OCHA Myanmar
    Updated April 6, 2017 | Dataset date: Jun 13, 2014
    Administrative boundary, admin level 1 = state and region , admin level 2 = district and admin level 3 = township. The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
  • Syria IDP Sites
    U.S. Department of State - Humanitarian Information Unit
    Updated February 4, 2016 | Dataset date: Jun 30, 2015
    Data as of late June 2015. The "Syria IDP Sites" dataset is compiled by the U.S. Department of State, Humanitarian Information Unit (INR/GGI/HIU). This dataset contains open source derived data about the geographic locations (point geometry) of identified tent camps and other locations, such as collective centers, schools, mosques, sports facilities, host families, etc. in towns inside Syria where displacement has taken place. Sources of this information include the United Nations, the Assistance Coordination Unit, the Syria Needs Assessment Project, NGOs, and media reports. Location coordinates are at the city level and are plotted using the Syria P-Code system (http://www.mapaction.org/map-catalogue/mapdetail/2753.html) and NGA GEOnet Names Server (http://earth-info.nga.mil/gns/html) datasets. The field "PCode" is a combination of the all the administrative level and community level P-Codes for a specific location. Camp locations are verified using high-resolutions commercial satellite imagery. In the "Designation" field "IDP Site" refers to informal or formal settlements for specific IDP use. This dataset will be updated as needed and is current as of late June 2015. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • División política de Honduras
    OCHA ROLAC
    Updated September 1, 2016 | Dataset date: Jun 25, 2015
    División política por departamento y municipios, incluye códigos y densidad poblacional.
  • Afghanistan - Administrative Boundaries (levels 0 - 2)
    OCHA Afghanistan
    Updated March 29, 2017 | Dataset date: Sep 25, 2012
    This spatial dataset provides the delimitation and composition of the Afghanistan administrative boundaries (levels 0 - 3) and forms one of the Common Operational Datasets (COD) for the humanitarian community. It comprises of polygons of 399 district boundaries (level 2), 34 province boundaries (level 1) and the national boundary. The UNAMA region boundary available in this dataset is not an official administrative level and is included as a reference for operational purposes. The dataset is attributed with the Afghanistan Geodesy and Cartography Head Office (AGCHO) p-codes and names (Dari and English) was obtained from AGCHO on 25 September 2012.
    • ZIP
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • Myanmar Hydrology - River/Streams
    OCHA Myanmar
    Updated April 7, 2017 | Dataset date: Dec 4, 2017
    Shapefiles for Rivers/Streams of Myanmar
  • Viviendas de la Comunidad "Isla de León" en Cartagena
    TECHO Colombia
    Updated November 24, 2015 | Dataset date: Jan 12, 2015-May 31, 2015
    Muestra las viviendas, iglesias y tiendas presentes en la Comunidad "Isla de León" en Cartagena. Resalta las viviendas de emergencia de TECHO COL en pilotis (elevadas a 1 metro y 50 centímetros) ya que se presentan inundaciones frecuentes. Capas vectoriales de poligonos.
  • Myanmar - Transportation
    OCHA Myanmar
    Updated April 7, 2017 | Dataset date: Dec 4, 2013
    Zipped shapefile for transportation infrastructure in Myanmar. Including roads, railways, seaports, airports shapefile.
  • Indonesian Capital Cities
    ITOS
    Updated June 29, 2016 | Dataset date: Sep 6, 2013
    Points represent capital cities of Indonesia. Includes National, Provincial, and Regency capitals, as well as Kotas.
  • Geodata of Damage to Agricultural Areas and Greenhouses, Gaza Strip - Occupie...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated November 24, 2015 | Dataset date: Sep 23, 2014
    This map illustrates satellite-detected changes in agricultural areas of the Gaza Strip resulting from the July ? August 2014 conflict in the area. Using a satellite image collected 14 August 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT performed Normalized Difference Vegetation Index analysis, multitemporal classification, and manual review in order to detect significant changes occurring in agricultural areas between those dates. This methodology assessed damage occurring as a result of razing, heavy vehicle tracking, bombing, shelling, and related conflict dynamics. The analysis includes damage occurring to both active crop fields and fallow lands, as well as in many household gardens. Note that due to the special characteristics of the area analysed, razing might have been overestimated in sandy areas, and some ambiguity often exists between unused lands, pasture lands, agricultural fields, and other land cover types. UNOSAT analysis indicates that ~1,800 hectares of agricultural fields have likely been razed or heavily damaged by these factors in the intervening period. In addition, using imagery acquired on 27 and 28 August 2014 UNOSAT assessed damage to greenhouses and identified a total 657 destroyed, 214 severely damaged and 392 moderately damaged greenhouse structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR/UNOSAT.
  • Provincial/ Regional Constituency Boundaries-Pakistan
    ALHASAN Systems Private Limited
    Updated November 24, 2015
    Provincial/ Regional Constituency Boundaries of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest. ALHASAN SYSTEMS made these boundaries public before Pakistan’s General Election 2013 in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].
    • ZIP
    • 80+ Downloads
    • This dataset updates: Never
  • Syria Cultural Sites
    U.S. Department of State - Humanitarian Information Unit
    Updated November 24, 2015 | Dataset date: May 1, 2013
    The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State (http://eca.state.gov/cultural-heritage-center) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns. The data contained herein is entirely unclassified.
  • Geodata of Satellite Detected Waters Over Ampara and Batticaloa Districts, Sr...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated September 15, 2017 | Dataset date: Jan 7, 2015
    This map illustrates satellite-detected areas of flood water as observed in Sentinel-1 imagery collected 24 November 2014 and 18 December 2014. Waters extended along coastal areas and shores of inland lakes, with few large bodies of flood waters detected. Numerous roads and railroads are likely inundated by flood waters which may impede transport in those areas. It is likely that flood waters have been systematically underestimated in highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • CAR - Administrative boundaries (Shapefile 4 levels)
    International Organization for Migration (IOM)
    Updated June 26, 2017 | Dataset date: Oct 1, 2016
    Shapefile Administrative boundaries (4 levels Prefectures, Sous Prefectures, Communes, Quartiers Bangui)
  • Geodata of Neighborhood Damage Percentages, Aleppo, Syria
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated February 19, 2016 | Dataset date: Feb 18, 2016
    This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Based on this analysis, in 12 neighborhoods the number of damaged buildings is more than 20%, and the neighborhood with the most damage is al Aqabeh, with 42,53% of buildings damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • CAR - Roads and paths (Shapefile)
    International Organization for Migration (IOM)
    Updated June 26, 2017 | Dataset date: Oct 1, 2016
    CAR - Roads and paths
  • Geodata of Damage Assessment of Sadah, Saada Governorate, Yemen
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated November 24, 2015 | Dataset date: May 20, 2015
    This map illustrates satellite-detected damage and destruction in the city of Sadah, Saada Governorate, Yemen. Using satellite imagery acquired 17 May 2015 and 7 January 2015, UNITAR-UNOSAT identified a total of 1,171 affected structures, approximately 273 structures were destroyed, 271 were severely damaged, and 627 were moderately damaged. Additionally, 35 impact craters were found within the city, the majority of which were located along the runway of Sadah City Airport. A total of 4 medical facilities were identified within 100 meters of damaged and destroyed buildings, and it is possible that these facilities also sustained some damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • Geodata of Population Exposure Analysis - Tropical Cyclone Winston - 22 Febru...
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated March 22, 2016 | Dataset date: Mar 9, 2016
    Population exposure estimates based on observed cyclone track and sustained wind speeds of more than 90 Km/h and 120 Km/h ( 22 February 2016, Joint Typhoon Warning Center)
  • Geodata of Percentages of Buildings Damaged, Aleppo, Syria
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated February 18, 2016 | Dataset date: Feb 18, 2016
    This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Geodata of Goudoubou Refugee Camp, Seno Province, Burkina Faso
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated February 18, 2016 | Dataset date: Jan 14, 2016
    This map illustrates satellite detected shelters at the Goudoubou Refugee Camp in Seno Province, Burkina Faso, which hosts people from neighbouring Mali. As seen by the GeoEye-1 satellite on 30 October 2015, the camp contains a total of 2,669 structures within its 235.5 hectares. Of these structures, 476 are likely camp infrastructure buildings, 385 are improvised shelter structures, and 1,808 are identified as tent shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Geodata of Landslide induced dam over Tonzang Township, Chin Division, Myanmar
    UN Operational Satellite Applications Programme (UNOSAT)
    Updated November 25, 2015 | Dataset date: Sep 16, 2015
    This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the Pleiades satellite on 16 September 2015 and detected the presence of a landslide over a mountainous area in Tonzang township. As a consequence of the landslide waters have accumulated in the area forming a dam. Imagery shows that a total of 34 hectares are covered by water. The heavy cloud cover in the area prevents UNOSAT from determining the exact dimension of the landslide. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • CAR Shapefile IDP sites
    International Organization for Migration (IOM)
    Updated October 14, 2016 | Dataset date: Oct 1, 2016
    CAR Shapefile IDP sites and figure as of September 2016