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  • OCHA FTS
    Updated October 17, 2017 | Dataset date: Oct 17, 2017
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 60+ Downloads
    • This dataset updates: Every day
  • ACLED Conflict Data Project
    Updated October 17, 2017 | Dataset date: Oct 14, 2017
    ACLED conflict and protest data for African states from 1997 – December 2016 is available in Version 7 of the the ACLED dataset. Realtime data for 2017 is collected and published on a weekly basis, and will continue to be made available through the Climate Change and African Political Stability (CCAPS) website and on this page. Due to the realtime nature of data collection which results in occasional reporting lags, and/or insufficient detail in early event reports for inclusion in the dataset, a small number of events in the 2017 data pre-date this period. These have been coded and published for the first time in 2017 and do not duplicate any events found in the full published dataset. Data files are updated each Monday, containing data from the previous week. The data files below include a single running file for all 2017 data, with monthly files updated on an ongoing basis.
  • UNICEF ESARO
    Updated October 13, 2017 | Dataset date: Sep 30, 2017
    UNICEF Eastern and Southern Africa database - Target, Response and Funding as of 30 September 2017
    • XLSX
    • This dataset updates: Every month
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: name waterway covered width depth layer blockage tunnel natural water This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name building building:levels building:materials addr:full addr:housenumber addr:street addr:city office This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: name amenity man_made shop tourism opening_hours beds rooms addr:full addr:housenumber addr:street addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: name highway surface smoothness width lanes oneway bridge layer This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
  • UNICEF ESARO
    Updated September 22, 2017 | Dataset date: Aug 31, 2017
    UNICEF Excel Database relating to Regional refugees (Targets, Results and Funding)
    • XLSX
    • This dataset updates: Every month
  • This map illustrates satellite-detected surface water extent in Elegu town and surroundings using a Sentinel-1 satellite image acquired on the 23 August 2017. Within the map extent, surface waters extended of about 12% more particularly south and north-west of Elugu where evidences of floods could be observed. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks, and within built-up urban areas because of the characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • The bulletin presents information on the overall distribution of cholera/ Acute Watery Diarrhea (AWD) oubreaks in Eastern and Southern Africa region, and specific distribution in the Horn of Africa and Southern African Countries. Also presented is an overlay between cholera / AWD and Integrated Food Security Phase Classification for (June - September 2017), and DTM flow monitoring
    • XLSX
    • This dataset updates: Every two weeks
  • The bulletin presents information on the overall distribution of cholera/ AWD oubreaks in Eastern and Southern Africa region, and specific distribution in the Horn of Africa and Southern African Countries. Also presented is an overlay between cholera / AWD and Integrated Food Security Phase Classification for (June - September 2017), and DTM flow monitoring
    • XLSX
    • This dataset updates: Every two weeks
  • UNICEF ESARO
    Updated September 7, 2017 | Dataset date: Jun 30, 2017
    Dashboard about UNICEF Great Lakes Needs and Response (Refugees)
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every month
  • UNICEF ESARO
    Updated September 7, 2017 | Dataset date: Jun 30, 2017
    Dashboard about UNICEF Ethiopia, Kenya, Uganda response for the South Sudanese refugees - Needs and Response - 30 June 2017
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every month
  • HDX
    Updated September 6, 2017 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • This dataset updates: Every year
  • WorldPop
    Updated September 6, 2017 | Dataset date: Jan 1, 2015
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated September 6, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2016
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • This dataset updates: Every day
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 2011-Dec 31, 2016
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • This dataset updates: Every year
  • Global Healthsites Mapping Project
    Updated August 15, 2017 | Dataset date: Aug 15, 2017
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • WFP - World Food Programme
    Updated July 26, 2017 | Dataset date: Jul 24, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 800+ Downloads
    • This dataset updates: Every month
  • 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.
  • OCHA ROSEA
    Updated May 17, 2017 | Dataset date: Jan 1, 2006
    Uganda County Boundary shape file -Admin Level 3: based on 2006 data provided by Ugandan Bureau of Statistics (UBOS), Government of Uganda. Agreed to share publicly and authorized by Geo-IM Working group chaired by UBOS and UNOCHA as Secretariat. Instructions: uganda_county2006.zip
  • OCHA ROSEA
    Updated May 17, 2017 | Dataset date: Jan 1, 2010
    Sub-County Boundary shape file - Admin Level 4: based on 2006 data provided by Ugandan Bureau of Statistics (UBOS), Government of Uganda. Agreed to share publicly and authorized by Geo-IM Working group chaired by UBOS and UNOCHA as Secretariat. The dataset has been updated recently as Government of Uganda changed Admin boundaries to create some new districts in 2010.
  • OCHA ROSEA
    Updated May 17, 2017 | Dataset date: Oct 11, 2016
    Latest Uganda shape file for Admin 4 boundaries as compiled by the IGAD Drought Disaster Resilience & Sustainability Initiative (IDDRSI)
  • OCHA ROSEA
    Updated May 17, 2017 | Dataset date: Jan 1, 2010
    District Boundary shape file -Admin Level 3: based on 2006 data provided by Ugandan Bureau of Statistics (UBOS), Government of Uganda. Agreed to share publicly and authorized by Geo-IM Working group chaired by UBOS and UNOCHA as Secretariat. The data set has been updated recently as Government of Uganda changed Admin boundaries to create some new districts in 2010.