Key Figures
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • UNICEF ESARO
    Updated September 21, 2017 | Dataset date: Aug 31, 2017
    This database is about UNICEF target and response in Eastern and Southern Africa. It also shown UNICEF HAC Funding as of 31 August 2017
    • XLSX
    • 10+ Downloads
    • This dataset updates: Every month
  • 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
    • 40+ Downloads
    • This dataset updates: Every two weeks
  • UNICEF ESARO
    Updated September 8, 2017 | Dataset date: Jul 31, 2017
    This infographics is about South Sudan Situation and needs. It also shown UNICEF targets/results and HAC Funding as of 31 July 2017
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every month
  • UNICEF ESARO
    Updated September 7, 2017 | Dataset date: Jun 30, 2017
    Dashboard about UNICEF South Sudan Situation and Response
    • XLSX
    • 60+ Downloads
    • This dataset updates: Every month
  • 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
    • 30+ Downloads
    • This dataset updates: Every two weeks
  • 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
    • 50+ Downloads
    • This dataset updates: Every month
  • WorldPop
    Updated September 6, 2017 | Dataset date: Sep 6, 2010
    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.
  • UNICEF ESARO
    Updated August 25, 2017 | Dataset date: Jul 31, 2017
    This infographics is about South sudanese Refugees situation and needs. It also shown UNICEF targets/results and Funding as of 31 July 2017
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every month
  • WFP - World Food Programme
    Updated August 21, 2017 | Dataset date: May 13, 2015
    The Food Consumption Score (FCS) dataset is based on the FCS indicator, which assigns a food security score based on food consumption and diets. This data is available sub-nationally for 38 countries, such as Nepal and Sierra Leone.
    • CSV
    • 400+ Downloads
    • This dataset updates: Every month
  • 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
  • This map illustrates satellite-detected areas of IDP shelters in the UN House compound in Juba, Central Equatoria, South Sudan. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 18 August 2016 revealed a total of 8,706 shelters as well as 345 infrastructure and support buildings within the compound. This represents an increase of approximately 2.7 percent in shelters and an increase of roughly 50 percent in infrastructure and support buildings since the previous UNITAR-UNOSAT analysis of 27 June 2016 satellite imagery. New structures and containers were detected within PoC2 on 27 June 2016, as seen in inset 2. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 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.
  • This dataset contains data about the number of people reached with food assistance in emergency settings. The data is collected from external WFP situation reports and emergency dashboards.
    • XLSX
    • 700+ Downloads
    • This dataset updates: Every month
  • OCHA South Sudan
    Updated May 24, 2017 | Dataset date: Feb 16, 2016
    Administrative boundaries (Level 1 - States), (Level 2 - Counties including disputed Abyei region) and Undetermined boundary lines. Digitised from Russian Topo maps 200k (1970). Also includes a list of Admin level 3 - Payams. Data source: South Sudan Inter Cluster Information Management Working Group (ICIWG), National Bureau of Statistics (NBS), and MapAction. PCodes and cleaned by MapAction, OCHA and ITOS.
  • OCHA ROSEA
    Updated May 15, 2017 | Dataset date: Apr 27, 2016
    Greater Horn of Africa Countries (Shapefile and feature layer) shared by ICPAC Created: April 27, 2016
    • ZIP
    • 60+ Downloads
    • This dataset updates: Every year
  • Drew University
    Updated May 12, 2017 | Dataset date: May 12, 2017
    South Sudan National Bureau of Statistics county populations estimates for 2015-2020.
  • This map illustrates satellite-detected damage density at and around the city of Yei, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of about 6,300 destroyed structures within the area of the current map (approximately 700 square kilometers). Most of the damage is concentrated in the outskirts of the city. The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density along the road connecting the cities of Morobo and Koya, Nahr Yei district, Central Equatoria, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of around 7,800 destroyed structures within the analysis extent of the current map (approximately 600 square kilometers). The whole analysis over the Nahr Yei district covers an area of approximately 3,640 square kilometers, and the results show over 18,300 destroyed structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected damage density in and around the cities of Yei, Morobo and Koya, Nahr Yei district, South Sudan. Using satellite imagery acquired 05 March 2017, UNITAR - UNOSAT identified a total of 18,318 destroyed structures within an analysed area of about 3,640 square kilometers. Approximately 10'449 affected structures are found within Yei and along the four primary roads radiating from the city. About 7,870 destroyed structures are found along the road connecting the cities of Morobo and Koya. Most structures appear to be destroyed by fire. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • ACLED Conflict Data Project
    Updated March 21, 2017 | Dataset date: Jan 1, 2017
    ACLED makes its dataset of disaggregated conflict and protest data publicly available. A new version of the dataset is released annually, with data from the previous year and targeted quality review being added in each new version. Files for all countries are composed of ACLED events which indicate the day, actors, type of activity, location, fatalities, sources and notes for individual politically violent events. Please see the codebook for further details on conflict categories, actors, events and sources. The user guide provides guidance on downloading and reading files. ACLED data are presented in three forms: the first is an Excel for the entire African continent; the second is a corresponding shapefile of the African continent created from those data; the third format is an Excel file called “COUNTRY X” containing data disaggregated by country which occur in the named state’s territory (including foreign groups active in a state’s territory).
    • ZIP
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every year
  • OCHA South Sudan
    Updated March 16, 2017 | Dataset date: Dec 28, 2015
    2016 Humanitarian Needs Overview (HNO) for South Sudan: Estimated number of people in need of assistance and targeted by sector. This data has been compiled by OCHA and humanitarian partners in South Sudan. It represents a consolidated evidence base and to inform joint strategic response planning (SRP).
  • OCHA South Sudan
    Updated March 16, 2017 | Dataset date: Oct 31, 2014
    The humanitarian needs overview (HNO) promotes a shared understanding of the impact and evolution of a crisis within the humanitarian country team (HCT) and informs strategic response planning. This ensures that credible evidence and a joint analysis of needs underpins an effective and targeted humanitarian response. Following indicators were identified during the 2015 HNO process for South Sudan Theme 01: Conflict Protection Displaced Population - Conflict Displacement Count - Access to Markets - % Health care facilities affected - # of Schools Occupied by IDPs and/or Armed Forces - # of people per water source Theme 02: Malnutrition - Nutrition Classification(GAM) Theme 03 - Death, Injury and Disease - Disease Outbreak - # of Functioning health care facilities/pop. - IPC - Conflict Displacement Count - # of people per water source Theme 04 - Food Security and Livelihood - IPC
    • XLS
    • 100+ Downloads
    • This dataset updates: Never
  • OCHA South Sudan
    Updated February 22, 2017 | Dataset date: Jan 1, 2017-Jul 31, 2017
    South Sudan Integrated Food Security Phase classification and population by state and County
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every six months
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1990-Jan 1, 2015
    [Source: United Nations Department of Economic and Social Affairs] The maternal mortality ratio (MMR) is the ratio of the number of maternal deaths during a given time period per 100,000 live births during the same time-period.
    • XLSX
    • CSV
    • TXT
    • 200+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated January 20, 2017 | Dataset date: Jan 1, 1966-Jan 1, 2014
    [Source: World Health Organization] Percentage of stunting (height-for-age less than -2 standard deviations of the WHO Child Growth Standards median) among children aged 0-5 years
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year