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.
Legend:
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
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  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • Time Period of the Dataset [?]: January 01, 2021-December 31, 2021 ... More
    Modified [?]: 18 September 2022
    Dataset Added on HDX [?]: 18 September 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Livelihoods Programme Monitoring Beneficiary Survey
    The UNHCR Livelihoods Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches. Consultations were held with governments, the private sector, field-based staff and civil society partners to devise a set of common, standardized measures rooted in global good practices. Since 2017, a data collection (survey) has been rolled out globally, and the participating operations conducted a household surveys to a sample of beneficiaries of each livelihoods project implemented by UNHCR and its partner. The dataset consists of baseline and endline data from the same sample beneficiaries, in order to compare before and after the project implementation and thus to measure the impact. More info is available on the official website: https://lis.unhcr.org
  • 90+ Downloads
    Time Period of the Dataset [?]: January 08, 2020-March 28, 2024 ... More
    Modified [?]: 28 July 2022
    Dataset Added on HDX [?]: 28 July 2022
    This dataset updates: As needed
    This dataset is part of the data series [?]: US Census Bureau - Subnational Population and Housing Data Tables
    The geodatabase contains boundaries for the national and first-, second-, and third-order administrative divisions, aligned to the Large Scale International Boundaries dataset from the U.S. Department of State. The feature classes are suitable for linking to the attribute data provided. The tabular data contain total population for 2008 (census), 2017 (population estimates), and 2018 (population estimates), as well as five-year age group and sex, and information relating to education, employment and labor, poverty and consumption, disability and health, mortality and domestic violence, households, access to services, agriculture and livelihood, food insecurity, migration, and people in need.
  • 30+ Downloads
    Time Period of the Dataset [?]: June 14, 2022-March 28, 2024 ... More
    Modified [?]: 12 July 2022
    Confirmed [?]: 30 September 2022
    Dataset Added on HDX [?]: 12 July 2022
    This dataset updates: Every week
    The dataset captures weekly progress updates from UN agencies involved in implementing the Central Emergency Response Fund's (CERF) US$ 15 million Early Action allocation to mitigate the impacts of expected severe floods in Unity State during the 2022 rainy season
  • 2600+ Downloads
    Time Period of the Dataset [?]: February 17, 2021-March 03, 2021 ... More
    Modified [?]: 28 June 2022
    Dataset Added on HDX [?]: 24 June 2021
    This dataset updates: Every year
    In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.
  • 400+ Downloads
    Time Period of the Dataset [?]: February 01, 2020-September 30, 2021 ... More
    Modified [?]: 23 June 2022
    Confirmed [?]: 4 April 2023
    Dataset Added on HDX [?]: 18 March 2019
    This dataset updates: Never
    This dataset is part of the data series [?]: IOM - DTM Site and Location Assessment
    The dataset has IDPs households and individuals with age and gender disaggregated data at sub national level. A site assessment is a sub-component of mobility tracking. It aims to collect data on population presence, living conditions and needs in a particular displacement site or community.
  • 70+ Downloads
    Time Period of the Dataset [?]: June 10, 2022-December 10, 2022 ... More
    Modified [?]: 10 June 2022
    Dataset Added on HDX [?]: 10 June 2022
    This dataset updates: Every six months
    2022 HPC - Child protection organization response activities
  • 900+ Downloads
    Time Period of the Dataset [?]: January 31, 2024-January 31, 2024 ... More
    Modified [?]: 15 March 2022
    Confirmed [?]: 28 February 2024
    Dataset Added on HDX [?]: 13 December 2019
    This dataset updates: Every year
    This dataset shows the number of People in Need (PiN), funds required, and funds received by country over the years, from 2010 to 2024.
  • Time Period of the Dataset [?]: October 07, 2019-October 10, 2019 ... More
    Modified [?]: 17 January 2022
    Dataset Added on HDX [?]: 30 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. UNHCR and WVI carried out a nutrition survey in Makpandu from 7 to 10 October 2019. Makpandu refugee settlement has an estimated refugee population of 50382 who are mainly from DRC and CAR, and a few from Sudan and Eritrea. The overall aim of this survey was to assess the general nutrition and health status of refugee population and formulate workable recommendations for appropriate nutritional and public health interventions. The survey was based on the UNHCR Standardized Expanded Nutrition Survey (SENS) guidelines for refugee populations (version 2, 2013) http://sens.unhcr.org/. Four SENS modules including i. anthropometric and health, ii. Anaemia, iii. IYCF, and iv. Food Security were carried out. 2019 was the first-time modules ii, iii and iv were carried out thus the data from these modules will be used as the baseline. A total of six survey teams composed of four members each (one team leader, one haemoglobin measurer, one anthropometric measurer/translator and one anthropometric/haemoglobin measurement assistant) were included in each survey. A standardised training lasting four days was provided followed which included a standardisation test. Data collection lasted four days. The survey teams were supported by a team of 2 supervisors and 2 coordinators who roved between the teams during the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software for all the modules was used for data collection. Data validation was carried out on a daily by the survey coordinator which allowed for daily feedback to the survey teams
  • 10+ Downloads
    Time Period of the Dataset [?]: September 16, 2019-September 20, 2019 ... More
    Modified [?]: 17 January 2022
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. Gorom Refugee camp is located 24 km from Juba city. It has an estimated refugee population of 23471 who are mainly of Ethiopian nationality. The Anyuak refugees from Ethiopia have been in Gorom settlement since 2011. UNHCR and ACROSS carried out the nutrition survey in Gorom refugee camp from 16 to 20 September 2019. The overall aim of this survey was to assess the general nutrition and health status of refugee population and formulate workable recommendations for appropriate nutritional and public health interventions. UNHCR population figures from ProGres were used to determine the total population and that of children 6-59 months for survey planning purposes. At the end of August 2019, the Gorom refugee population was 2347 individuals. 395 (16.8%) of these were children under five years. An exhaustive survey was conducted in relation to children as the total population size of Gorom camp was below 2,500 people rendering sampling unnecessary following UNHCR SENS guideline. All children aged 6-59 months in the camp were surveyed. A total of six survey teams composed of four members each (one team leader, one haemoglobin measurer, one anthropometric measurer/translator and one anthropometric/haemoglobin measurement assistant were included in each survey. A standardized training lasting five days, which included a standardization test was provided. Data collection lasted five days. The survey teams were supported by a team of 2 supervisors and 1 coordinator who roved between the teams duration the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software was used for data collection for all the modules. Data validation was carried out daily by the survey coordinator, which allowed for daily feedback to the survey teams. Data analysis was carried out using ENA for SMART July 9th, 2015 version for anthropometric indices and Epi info version 7 for all the other data.
  • Time Period of the Dataset [?]: October 21, 2019-October 31, 2019 ... More
    Modified [?]: 14 January 2022
    Dataset Added on HDX [?]: 31 January 2022
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - SENS Survey
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. UNHCR in collaboration with AHA, IRC and WFP carried out the nutrition survey in Pamir and Ajoung Thok refugee camps from 21 to 31 October 2019. Pamir and Ajoung Thok are the official refugee camps in Pariang County, Unity State. No nutrition survey was carried out in Yida as comprehensive services were not provided in 2019 considering its exit strategy. Refugees from Yida continue to be relocated to Pamir and Ajoung Thok refugee camps. The overall aim of the survey was to assess the nutrition situation among the refugee population and to monitor ongoing programme interventions. In each of the camps a cross- sectional survey was conducted using the UNHCR Standardised Expanded Nutrition Survey (SENS) version 2, 2013 guidelines (http://sens.unhcr.org/) and the Standardised Monitoring and Assessments of Relief and Transitions (SMART) guidelines (https://smartmethodology.org/). Systematic random sampling was used to identify the survey respondents. The surveys had a total of 4 modules consisting of 3 individual level and 1 household level questionnaires following UNHCR SENS guidelines version 2, 2013. The modules included: 1. Anthropometry and health targeting all children aged 6 to 59 months in all the sampled households; 2. Anaemia targeting all children aged 6 to 59 months in all the sampled households and all non-pregnant women aged 15 to 49 years in every other sampled household, 3. Infant and Young Child Feeding (IYCF) targeting all children aged 0 to 23 months in all the sampled households; 4. Food security targeting every other sampled household. The Water, Sanitation, and Hygiene (WASH) and mosquito net coverage modules were not carried out. This is because there is a WASH monitoring system in place and WASH Knowledge Attitude and Practices (KAP) assessment was conducted within the same month as the nutrition survey. Information on mosquito net coverage was carried out within the year in Pamir and Ajoung Thok in a separate partner assessment. The Emergency Nutrition Assessment (ENA) software version July 9th, 2015 was used to calculate the sample sizes of children and households for participating in the survey. A total of six survey teams composed of four members each (one team leader, one hemoglobin measurer, one anthropometric measurer/translator and one hemoglobin/anthropometric measurement assistant) were included in each survey. A standardized training lasting five days, which included a standardization test was provided. Data collection lasted eight days from 21-31 October with a two days break on the 26 and 27 October 2019. The survey teams were supported by a team of 5 supervisors and 3 coordinators who roved between the teams during the data collection. Mobile phone questionnaires using Open Data Kit (ODK) android software was used for data collection for the four modules of SENS. Data validation was carried out daily by the survey coordinator and supervisors. This facilitated daily feedback to the survey teams. Data analysis used ENA for SMART July 9th, 2015 version for anthropometricindices and Epi info version 7 for the rest of the indicators.
  • COD 70+ Downloads
    Time Period of the Dataset [?]: December 21, 2021-March 28, 2024 ... More
    Modified [?]: 21 December 2021
    Dataset Added on HDX [?]: 21 December 2021
    This dataset updates: As needed
    This dataset is part of the data series [?]: GRID3 - Settlement Extents
    Settlement extents are polygons representing areas where there is likely a human settlement based on the presence of buildings detected in satellite imagery. Settlement extents are not meant to represent the boundaries of an administrative unit or locality. A single settlement extent may be made up of multiple localities, especially in urban areas. Each settlement extent has an associated population estimate. Provided is information on the common operational boundary that the extent fully resides within along with their associated place codes (PCodes). The data are in geodatabase format and consist of a single-feature class. This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University. Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2021. GRID3 South Sudan Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-khpa-pq09 . Accessed DAY MONTH YEAR.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 01, 2019-March 28, 2024 ... More
    Modified [?]: 4 December 2021
    Dataset Added on HDX [?]: 14 February 2019
    This dataset updates: Live
    This dataset is part of the data series [?]: IATI - Current IATI aid activities
    Live list of active aid activities for South Sudan shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
  • 80+ Downloads
    Time Period of the Dataset [?]: December 01, 2020-June 30, 2021 ... More
    Modified [?]: 20 October 2021
    Dataset Added on HDX [?]: 20 October 2021
    This dataset updates: Never
    Deidentified dataset used for analysis presented in "Risk Factors for Hospitalization and Death from COVID-19: A Prospective Cohort Study in South Sudan and Eastern Democratic Republic of the Congo" by Leidman et al.
  • 30+ Downloads
    Time Period of the Dataset [?]: December 01, 2020-June 30, 2021 ... More
    Modified [?]: 20 October 2021
    Dataset Added on HDX [?]: 20 October 2021
    This dataset updates: As needed
    Deidentified dataset used for analysis presented in "Clinical Progression and Outcomes of Patients Hospitalized with COVID-19 in Humanitarian Settings: A Prospective Cohort Study in South Sudan and Eastern Democratic Republic of the Congo" by Doocy et al.
  • COD 300+ Downloads
    Time Period of the Dataset [?]: October 12, 2021-October 12, 2021 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 12 October 2021
    This dataset updates: As needed
    Limites de la République Démocratique du Congo et de 20 pays avoisinants, extraites de la base de données OpenStreetMap et mises à disposition pour faciliter la cartographie.
  • Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 12 October 2021
    Dataset Added on HDX [?]: 17 October 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: UNHCR - Energy Monitoring Framework Survey
    The UNHCR Energy Monitoring Framework takes a program-based approach to monitoring, with the aim of tracking both outputs and the impact of UNHCR dollars spent on programming (either via partners or through direct implementation). The process for developing the indicators began in 2015 with a review of existing tools and approaches and consultations with Government, Private Sector, field-based staff and NGO partners to devise a set of common, standardized measures rooted in global good practices. More info is available on the official website: https://eis.unhcr.org/
  • 600+ Downloads
    Time Period of the Dataset [?]: November 14, 2020-May 17, 2021 ... More
    Modified [?]: 15 September 2021
    Dataset Added on HDX [?]: 15 June 2021
    This dataset updates: Every month
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    Covid-19 recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative recoveries in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 500+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 death cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative deaths in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 600+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 infected cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 300+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Dataset Added on HDX [?]: 11 November 2020
    This dataset updates: As needed
    This dataset is part of the data series [?]: HERA - Africa - Covid-19
    Covid-19 cumulative cases in Africa, per country, per day from the beginning of the pandemic. Source : national governments.
  • 1100+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-August 20, 2021 ... More
    Modified [?]: 31 August 2021
    Confirmed [?]: 27 September 2021
    Dataset Added on HDX [?]: 19 May 2020
    This dataset updates: As needed
    Daily Covid-19 cases in african countries : daily infections, recoveries and deaths and cumulative cases of infections, recoveries and deaths since the beginning of the pandemic.