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  • Insecurity Insight
    Updated October 18, 2018 | Dataset date: Jan 1, 2017-Sep 30, 2018
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every month
  • Assistance Coordination Unit
    Updated October 5, 2018 | Dataset date: Nov 1, 2017-Jan 31, 2018
    The ACU’s Information Management Unit conducted the 4th version of its annual research “Schools in Syria”, to highlight the impact of the Syrian conflict on education and the needs of students and school supplies. This is the most representative, nuanced iteration of this study to date, covering 4,079 schools within 99 sub-districts across 10 governorates, building upon 35,925 data e-forms with 31,846 forms on perception surveys. It has significant increase in the number of the functional schools addressed over its first version to the current one by 2,572 schools.
  • OCHA Nigeria
    Updated December 20, 2017 | Dataset date: Feb 23, 2017
    The dataset represents the Common Operational Data (COD) for administrative boundaries of Nigeria. Each administrative unit contains the p-code and name. Admin COD datasets (Admin 0 – 2) for Nigeria are endorsed by the Office of the Surveyor General of the Federal Republic of Nigeria (OSGOF) and the IMWG Feb 2017. See metadata for description of methodology for admin level 3 and the cleaning and processing performed by ITOS. Levels 0 - 3 are polygonal administrative units, Level 3 only covers Adamawa, Borno and Yobe States and are for operational purposes only.
  • OCHA Philippines
    Updated September 14, 2018 | Dataset date: Sep 20, 2017
    Sex and age disaggregated population data by various administrative levels (1 to 4) based on 2015 Census with Philippines Standard Geographic Code (PSGC). These CSV population statistics files are suitable for database or ArcGIS joins to the shapefiles found on HDX here.
    • CSV
    • XLSX
    • 2000+ Downloads
    • This dataset updates: Every year
  • OCHA ROAP
    Updated October 11, 2018 | Dataset date: Oct 11, 2018
    The spreadsheet have 2 worksheet (Pop and Geoimpact). Geoimpact is the result of overlaying the shakemap with admin4 (village) boundaries from BPS. This processing and analysis was done by the World Food Programme (WFP).
    • XLSX
    • 30+ Downloads
    • This dataset updates: Never
  • ENERGYDATA.INFO
    Updated September 6, 2018 | Dataset date: Mar 11, 2017
    This is the most complete and up-to-date open map of Sub-Saharan Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage: This dataset includes planned and existing grid lines for all 43 continental Sub-Saharan African countries and Madagascar. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations: Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.
  • Insecurity Insight
    Updated October 9, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA South Sudan
    Updated October 16, 2018 | Dataset date: Aug 15, 2018
    South Sudan administrative levels 0 (country), 1 (state) and 2 (county) 2019 population estimates This population statistics Common Operational Database (COD-PS) was endorsed by the South Sudan Inter Cluster Coordinating Group (ICCG) and Humanitarian Country Team (HCT) on August 14, 2018. These tables are suitable for database or GIS link to the South Sudan administrative level 0-2 boundaries files on HDX.
    • XLSX
    • CSV
    • 700+ Downloads
    • This dataset updates: Every year
  • OCHA Philippines
    Updated October 10, 2018 | Dataset date: Sep 21, 2018
    Typhoon Mangkhut (Ompong) Who does What Where (3W) matrix
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every month
  • OCHA ROSA
    Updated October 22, 2018 | Dataset date: Oct 19, 2018
    Tanzania administrative level 0 (country), 1 (region), 2 (district), and 3 (ward) boundary and line shapefiles, KMZ files, geodatabase These boundary files are suitable for database or GIS linkage to the Tanzania administrative level 0-3 population statistics tables. These boundaries reflect the creation of Songwe region (TZ26) in January 2016 from the western half of Mbeya Region.
  • OCHA ROAP
    Updated October 16, 2018 | Dataset date: Oct 14, 2014
    Cambodia administrative levels 0 (country), 1 (province / khaet and capital / reach thani), 2 (municipality, district), and 3 (commune / khum, quarter / sangkat) boundary polygon, line, and point shapefiles and KMZ files, and gazetteer The datasets were obtained from the Department of Geography of the Ministry of Land Management, Urbanization and Construction in 2008 and unofficially updated in 2014 according to sub-decrees on administrative modifications. Data provided by WFP - VAM unit Cambodia. These shapefiles are suitable for database or GIS linkage to the Cambodia administrative level 0-3 population statistics CSV tables. (However, six administrative level 3 records do not correspond to any of the level 3 shapefile features. These are listed in the caveats.)
  • Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, KMZ files, geodatabase and gazetteer.
  • UNDP Human Development Reports Office (HDRO)
    Updated August 31, 2016 | Dataset date: Jan 1, 1980-Dec 31, 2013
    Education index
    • CSV
    • 60+ Downloads
    • This dataset updates: Never
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2010
    [Source: United Nations Department of Economic and Social Affairs] Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.
    • XLSX
    • CSV
    • TXT
    • 700+ Downloads
    • This dataset updates: Every year
  • This datasets are extracted from the government sources. Levels 1-4 (Province to village) of Central Sulawesi areas where hit by M 7.4 RS Earthquake on 28 September 2018. Central Sulawesi administrative level 1 (province or special administrative area), 2 (Districts and Cities / Kabupaten and Kota), 3 ( Subdistricts / Kecamatan), and 4 (administrative Villages / Desa) boundary polygons. Each original resource with Indonesian field names and codes is accompanied by a version that appends standard field names and P-codes.
  • HDX
    Updated November 24, 2015 | Dataset date: Dec 31, 2011
    Demography census data (2011) by district. For more information please refer to the United Nations Nepal Information portal. The district profiles are contained in a ZIP file with one file per district. Data is available for the following districts: Achham, Arghakhanchi, Baglung, Baitadi, Bajhang, Bajura, Banke, Bara, Bardiya, Bhaktapur, Bhojpur, Chitwan, Dadeldhura, Dailekh, Dang, Darchula, Dhading, Dhankuta, Dhanusha, Dolakha, Dolpa, Doti, Gorkha, Gulmi, Humla, Illam, Jajarkot, Jhapa, Jumla, Kailali, Kalikot, Kanchanpur, Kapilbastu, Kaski, Kathmandu, Kavre, Khotang, Lalitpur, Lamjung, Mahottari, Makawanpur, Manang, Morang, Mugu, Mustang, Myagdi, Nawalparasi, Nuwakot, Okhaldhunga, Palpa, Panchthar, Parbat, Parsa, Pyuthan, Ramechhap, Rasuwa, Rautahat, Rolpa, Rukum, Rupandehi, Salyan, Sankhuwasabha, Saptari, Sarlahi, Sindhuli, Sindhupalchowk, Siraha, Solukhumbu, Sunsari, Surkhet, Syangja, Taplejung, Tehrathum, Udayapur.
    • ZIP
    • XLSX
    • XLS
    • 4200+ Downloads
    • This dataset updates: Never
  • HDX
    Updated September 29, 2018 | Dataset date: Aug 29, 2018
    Number of confirmed, probable and suspected Ebola cases and deaths in the Equateur region Ebola outbreak in May 2018.in the Democratic Republic of the Congo (DRC) according to WHO Ebola situation reports. The figures are presented at national level as well as disaggregated to health zone level. Figures are cumulative. On 1 August 2018, the Ministry of Health of the Democratic Republic of the Congo declared a new outbreak of Ebola virus disease in North Kivu Province. The data for this new outbreak is available here.
    • CSV
    • 100+ Downloads
    • This dataset updates: Never
  • OCHA Yemen
    Updated September 26, 2018 | Dataset date: Oct 10, 2017
    This dataset contains people in need and population by district ( admin2) and by governorate (admin1) disaggregated by sex and age. Also, it includes severity of needs per cluster and inter-cluster per district.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every six months
  • OCHA Afghanistan
    Updated October 14, 2018 | Dataset date: Jan 1, 2018-Oct 9, 2018
    Newly displaced population due to conflict between 01 January 2018 and 09 October 2018, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 14 October 2018 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 1100+ Downloads
    • This dataset updates: Every week
  • OCHA Iraq
    Updated May 14, 2018 | Dataset date: Jul 17, 2014
    Admin COD datasets for IRQ endorsed by IMWG and CO on October 2015; see metadata for description of cleaning and processing performed by ITOS. The dataset represents Admin Level 0 (International), Admin Level 1 (Governorate), Admin Level 2 (District).
  • OCHA ROWCA
    Updated July 10, 2018 | Dataset date: Aug 4, 2017
    Last update August 2017 (harmonization of codes following the IMWG meeting eg SN010101) according to the COD databases approved by the RO in January 2016; See metadata for description of ITOS cleaning and processing. The dataset represents Admin level 0 (International), Admin Level 1 (Region), Admin Level 2 (Departement), Admin Level 3 (Arrondissement).
  • Adm3 shapefile (District-level): For 31 districts affected by Nepal Earthquake 2015 Adm4 shapefile (VDC-level): For 31 districts affected by Nepal Earthquake 2015
  • This dataset is the INDICATIVE boundaries of the Barangays as observed at the end of April 2016 as per the Philippine Geographic Standard Code (PSGC) dataset. It has been generated on the basis of the layer created by the Philippine Statistics Authority (PSA) in the context of the 2015 population census. LMB is still the source of official administrative boundaries of the Philippines. In the absence of available official administrative boundary, the IMTWG have agreed to clean and use the PSA administrative boundaries which are used to facilitate data collection of surveys and censuses. These data cannot be used for commercial purposes.
  • HDX
    Updated October 9, 2017 | Dataset date: Jan 1, 1950-Sep 30, 2017
    The Oceanic Niño Index (ONI) has become the de facto standard that the National Oceanic and Atmospheric Administration (NOAA) uses to identify El Niño (warm) and La Niña (cool) events in the tropical Pacific. It is the three month mean SST anomaly for the El Niño 3.4 region (i.e., 5°N-5°S, 120°-170°W). Events are defined as five consecutive overlapping three month periods at or above the +0.5°C anomaly for warm (El Niño), events and at or below the -0.5 anomaly for cold (La Niña) events. The threshold is further broken down into Weak (with a 0.5 to 0.9 SST anomaly), Moderate (1.0 to 1.4) and Strong (≥ 1.5) events. For an event to be categorized as weak, moderate or strong. it must have equalled or exceeded the threshold for at least three consecutive overlapping three month periods.
    • shtml
    • CSV
    • 300+ Downloads
    • This dataset updates: Every month
  • OCHA Myanmar
    Updated September 26, 2018 | Dataset date: Jun 15, 2018
    Myanmar 2017 Cash Transfer Programming Activities 4W
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every year