South Sudan

Data Grid Completeness
75% 
15/20 Core Data 19 Datasets 9 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
Affected People
3 Datasets
100% 
Internally-Displaced Persons
Refugees & Persons of Concern
Returnees
Humanitarian Needs
Coordination & Context
5 Datasets
80%  20% 
3w - Who is doing what where
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Climate Impact
OCHA South Sudan
Food Security & Nutrition
3 Datasets
66%  33% 
Food security
Integrated Food Security Phase Classification (IPC)
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
100% 
Administrative Divisions
Populated Places
Roads
Airports
OCHA South Sudan
Health & Education
2 Datasets
100% 
Education Facilities
International Organization for Migration (IOM)
Population & Socio-economy
2 Datasets
50%  50% 
Baseline Population
Poverty Rate
Data Datasets [252] | Archived Datasets[138] [?]
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  • 30+ Downloads
    Time Period of the Dataset [?]: August 17, 2023-August 17, 2023 ... More
    Modified [?]: 17 August 2023
    Dataset Added on HDX [?]: 18 August 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 11 to 15 August 2023 compared with the period from 10 to 14 July 2023. Within the cloud free analyzed areas of about 630,000 km², a total of about 26,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 9,000 km² since the period between 10 to 14 July 2023. Based on Worldpop population data and the maximal flood water extent ~450,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: June 16, 2023-June 16, 2023 ... More
    Modified [?]: 17 June 2023
    Dataset Added on HDX [?]: 17 June 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 June 2023 compared with the period from 01 to 05 June 2023. Within the cloud free analyzed areas of about 615,000 km², a total of about 11,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,000 km² since the period between 01 to 05 June 2023. Based on Worldpop population data and the maximal flood water extent ~205,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: May 12, 2023-May 12, 2023 ... More
    Modified [?]: 13 May 2023
    Dataset Added on HDX [?]: 13 May 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 06 to 10 May 2023 compared with the period from 27 April to 01 May 2023. Within the cloud free analyzed areas of about 620,000 km², a total of about 12,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 4,500 km² since the period between 27 April to 01 May 2023. Based on Worldpop population data and the maximal flood water extent ~220,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: March 31, 2023-March 31, 2023 ... More
    Modified [?]: 1 April 2023
    Dataset Added on HDX [?]: 1 April 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 25 to 29 March 2023 compared with the period from 01 to 05 March 2023. Within the cloud free analyzed areas of about 625,000 km², a total of about 17,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 13,000 km² since the period between 01 to 05 March 2023. Based on Worldpop population data and the maximal flood water extent ~285,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 10+ Downloads
    Time Period of the Dataset [?]: March 07, 2023-March 07, 2023 ... More
    Modified [?]: 8 March 2023
    Dataset Added on HDX [?]: 8 March 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 March 2023 compared with the period from 20 to 24 February 2023. Within the cloud free analyzed areas of about 630,000 km², a total of about 30,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 5,000 km² since the period between 20 to 24 February 2023. Based on Worldpop population data and the maximal flood water extent ~480,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: September 15, 2022-September 15, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 September 2022 compared with the period from 30 August to 03 September 2022. Within the cloud free analyzed areas of about 605,000 km², a total of about 30,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 13,000 km² since the period between 30 August to 03 September 2022. Based on Worldpop population data and the maximal flood water coverage, ~615,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre - UNOSAT is not responsible for the misuse or misrepresentation of the map. Final boundary between the Republic of Sudan and the Republic of South Sudan has not yet been determined.
  • Time Period of the Dataset [?]: October 10, 2022-October 10, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 04 to 08 October 2022 compared with the period from 10 to 14 September 2022. Within the cloud free analyzed areas of about 620,000 km², a total of about 48,000 km² of lands appear to be affected with flood waters in which ~16,500 km² are herbaceous wetlands. Water extent appears to have increased of about 18,000 km² since the period between 10 to 14 September 2022. Based on Worldpop population data and the maximal flood water extent ~940,000 people are potentially exposed or living close to flooded areas. By considering the maximal flood water extent and landcover from ESA we estimate to ~16,500 ha of croplands which are potentially affected by floods. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 24, 2022-October 24, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 18 to 22 October 2022 compared with the period from 04 to 08 October 2022. Within the cloud free analyzed areas of about 620,000 km², a total of about 43,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 4,700 km² since the period between 04 to 08 October 2022. Based on Worldpop population data and the maximal flood water extent ~835,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 31, 2022-October 31, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 26 to 30 October 2022 compared with the period from 18 to 22 October 2022. Within the cloud free analyzed areas of about 630,000 km², a total of about 52,000 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 8,400 km² since the period between 18 to 22 October 2022. Based on Worldpop population data and the maximal flood water extent ~965,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: November 16, 2022-November 16, 2022 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 November 2022 compared with the period from 26 to 30 October 2022. Within the cloud free analyzed areas of about 625,000 km², a total of about 41,000 km² of lands appear to be affected with flood waters. Water extent appears to have decreased of about 10,000 km² since the period between 26 to 30 October 2022. Based on Worldpop population data and the maximal flood water extent ~745,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: January 25, 2023-January 25, 2023 ... More
    Modified [?]: 9 February 2023
    Dataset Added on HDX [?]: 9 February 2023
    This dataset updates: Never
    UNOSAT code FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 17 to 21 January 2023 compared with the period from 12 to 16 January 2023. Within the cloud free analyzed areas of about 629,000 km², a total of about 47,700 km² of lands appear to be affected with flood waters. Water extent appears to have increased of about 3,000 km² since the period between 12 to 16 January 2022. Based on Worldpop population data and the maximal flood water extent ~795,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: August 08, 2022-August 08, 2022 ... More
    Modified [?]: 1 September 2022
    Dataset Added on HDX [?]: 1 September 2022
    This dataset updates: Never
    UNOSAT code: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 August 2022 compared with the period from 19 to 23 July 2022. Within the cloud free analyzed areas of about 605,000 km2, a total of about 22,000 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 7,000 km2 since the period between 19 to 23 July 2022. Based on Worldpop population data and the maximal flood water coverage, ~565,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 20+ Downloads
    Time Period of the Dataset [?]: June 02, 2022-June 02, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220424SSD Dashboard showing VIIRS cumulative data. This dashboard shows statistics of the potentially exposed population and the maximum flood water extent by district over South Sudan
  • Time Period of the Dataset [?]: May 20, 2022-May 20, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 24 April 2022 compared with the period from 14 to 18 May 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 9,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 800 km2 since the period between 20 to 24 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~220,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: April 27, 2022-April 27, 2022 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 28 June 2022
    This dataset updates: Never
    UNOSAT code: FL20220424SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 01 to 05 April 2022 compared with the period from 20 to 24 April 2022. Within the cloud free analyzed areas of about 16,000,000 km2, a total of about 10,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 1,700 km2 since the period between 01 to 05 April 2022. Based on Worldpop population data and the maximal flood water coverage, ~250,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • 40+ Downloads
    Time Period of the Dataset [?]: February 25, 2017-December 31, 2022 ... More
    Modified [?]: 25 March 2022
    Dataset Added on HDX [?]: 25 March 2022
    This dataset updates: Never
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] http://ssa.who.int This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more innformation contact ssa@who.int Dates 31/12/2021 25/02/2017
  • Time Period of the Dataset [?]: March 16, 2022-March 16, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: FL20220314SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 10 to 14 March 2022 compared with the period from 05 to 09 March 2022. Within the cloud free analyzed areas of about 628,000 km2, a total of about 11,400 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 12,000 km2 since the period between 05 to 09 March 2022. Based on Worldpop population data and the maximal flood water coverage, ~277,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: March 02, 2022-March 02, 2022 ... More
    Modified [?]: 22 March 2022
    Dataset Added on HDX [?]: 22 March 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 23 to 27 Feb. 2022 compared with the period from 11 to 15 Feb. 2022. Within the cloud free analyzed areas of about 629,000 km2, a total of about 21,200 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased about 8,000 km2 since the period between 11 to 15 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~522,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 22, 2021-October 22, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates satellite-detected water in Rubkona, Koch, and Guit Counties of South Sudan as observed from a Sentinel-2 image acquired on 17 October 2021. Within the cloud free analyzed areas of about 40,000km2, a total of about 5,700 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, ~138,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: November 25, 2021-November 25, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 19 to 23 November 2021 compared with the period between 03 to 07 November 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 660 km2 since the period between 03 to 07 November 2021. Based on Worldpop population data and the detected surface waters, ~880,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: November 09, 2021-November 09, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 03 to 07 November 2021 compared with the period between 20 to 24 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 33,500 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 2,700 km2 since the period between 20 to 24 October 2021. Based on Worldpop population data and the detected surface waters, ~935,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 26, 2021-October 26, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIIRS in South Sudan between 20 to 25 October 2021 compared with the period between 15 to 19 October 2021. Within the cloud free analyzed areas of about 630,000 km2, a total of about 36,000 km2 of lands appear to be affected with flood waters. Water extent appears to have decreased of about 12,000 km2 since the period between 15 to 19 October 2021. Based on Worldpop population data and the detected surface waters, ~1,040,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 20, 2021-October 20, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates historical comparative cumulative satellite-detected water using VIIRS in South Sudan between 19 Sep. to 18 Oct. 2021 and 20 Sep. to 19 Oct. 2020 . Within the analyzed extent not covered by clouds, a total of about 70,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 2,000,000 people are exposed or living close to flooded area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: October 18, 2021-October 18, 2021 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20211015SSD This map illustrates cumulative satellite-detected water using VIRRS in South Sudan between 09 to 13 October 2021 and 26 to 30 September 2021. Within the analyzed extent not covered by clouds, a total of about 37,000 km2 appear to be flooded. Based on Worldpop population data and the detected surface water, about 1,000,000 people are exposed or living close to flooded area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
  • Time Period of the Dataset [?]: February 17, 2022-February 17, 2022 ... More
    Modified [?]: 18 February 2022
    Dataset Added on HDX [?]: 18 February 2022
    This dataset updates: Never
    UNOSAT code: FL20220119SSD This map illustrates cumulativesatellite-detected water using VIIRS in South Sudan between 11 to 15 Feb. 2022 compared with the period between 04 to 08 Feb. 2022. Within the cloud free analyzed areas of about 630,000 km2, a total of about 30,200 km2 of lands appear to be affected with flood waters. Water extent appears to have increased of about 1,500 km2 since the period between 04 to 08 Feb. 2022. Based on Worldpop population data and the maximal flood water coverage, ~704,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).