Sudan

Data Grid Completeness
70% 
14/20 Core Data 19 Datasets 11 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
75%  25% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
Returnees
Humanitarian Needs
Coordination & Context
5 Datasets
100% 
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
Food Security & Nutrition
3 Datasets
66%  33% 
Food security
Integrated Food Security Phase Classification (IPC)
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
50%  50% 
Administrative Divisions
OCHA Regional Office for Southern and Eastern Africa (ROSEA)
Populated Places
Roads
OCHA Sudan
Health & Education
2 Datasets
100% 
Education Facilities
Population & Socio-economy
2 Datasets
100% 
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 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
  • 30+ Downloads
    Time Period of the Dataset [?]: October 22, 2021-April 01, 2022 ... More
    Modified [?]: 10 May 2022
    Dataset Added on HDX [?]: 10 May 2022
    This dataset updates: As needed
    This data sets contains a shapefile with the building footprint of Wad Sherifey Refugee Settlement, Kassala, Sudan. Wad Sherifey is a refugee camp located in the East of Sudan along the Mareb River. During the past year refugees fleeing from conflict have arrived and settled in the area, partly within flood prone areas of the Mareb River. Already vulnerable and displaced, now additionally facing the risk of floods. Actors like the Red Cross Red Crescent Climate Centre and MFS manage projects in this region, and OSM data sets like this support the expansion of anticipatory action (acting before a disaster happens www.anticipation-hub.org/) to those most affected by conflict and climate. The area was selected for OSM mapping through a methodology to identify & prioritize high-risk and unmapped areas within a country for OSM mapping (StoryMap: https://arcg.is/1eqOXj) The data was collected through an HOT OSM task (https://tasks.hotosm.org/projects/11685), which was created in collaboration with MFS and led by the Netherland Red Cross’ Missing Maps Team. The task was completed (mapped & validated) in April 2022. The satellite imagery used for the mapping was from late August 2021 and provided by MFS.
  • 70+ Downloads
    Time Period of the Dataset [?]: October 11, 2020-March 22, 2021 ... More
    Modified [?]: 15 March 2022
    Dataset Added on HDX [?]: 13 May 2020
    This dataset updates: As needed
    This dataset contains operational presence of humanitarian partners in Sudan at Admin 1 level in response to Coronavirus pandemic.
  • 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.
  • 80+ Downloads
    Time Period of the Dataset [?]: October 11, 2020-October 11, 2021 ... More
    Modified [?]: 28 December 2021
    Dataset Added on HDX [?]: 22 December 2021
    This dataset updates: Every year
    Flood affected people in Sudan by state for the last few years.
  • COD 90+ 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 Sudan Settlement Extents, Version 01.01. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/d8-tpg5-cs43 . Accessed DAY MONTH YEAR.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 31, 2021-August 31, 2021 ... More
    Modified [?]: 21 December 2021
    Confirmed [?]: 24 June 2023
    Dataset Added on HDX [?]: 21 December 2021
    This dataset updates: Every year
    This is the 2021 multisector needs analysis data (MSNA) - a comprehensive household-level analysis covering all states in Sudan.
  • 30+ 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 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
  • 50+ Downloads
    Time Period of the Dataset [?]: December 01, 2020-January 31, 2021 ... More
    Modified [?]: 6 October 2021
    Dataset Added on HDX [?]: 11 October 2021
    This dataset updates: Never
    Household data was collected from 8 localities across the five Darfur states (Tawilla, Assalaya, Yassin, Sheiria, Nertiti, Undukum, Gereida, Jebel Moon). The profiling exercises in Darfur are aimed at: i. informing PBF programming and Action Plan development in each Darfur state/locality; ii. provide the baseline of the agreed upon PBF outcome/output indicators (for later measurement of impact); and iii. inform broader HDPN programming beyond the Fund. The sample size consisted of 10,914 households with a total of 60,154 individuals.
  • 300+ Downloads
    Time Period of the Dataset [?]: September 23, 2021-December 31, 2022 ... More
    Modified [?]: 26 September 2021
    Confirmed [?]: 15 March 2023
    Dataset Added on HDX [?]: 26 September 2021
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    The baseline data together with the People in Need (PIN) and severity of needs data by humanitarian condition, population group and sector.
  • 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.
  • 10000+ Downloads
    Time Period of the Dataset [?]: January 01, 1990-August 15, 2021 ... More
    Modified [?]: 22 August 2021
    Dataset Added on HDX [?]: 15 April 2015
    This dataset updates: Never
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
  • 100+ Downloads
    Time Period of the Dataset [?]: November 10, 2020-November 10, 2020 ... More
    Modified [?]: 5 August 2021
    Dataset Added on HDX [?]: 12 November 2020
    This dataset updates: Never
    Sudan - Flood affected Areas 2020, Destroyed Houses completely/ partially and affected people and Deaths.
  • 400+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-March 28, 2024 ... More
    Modified [?]: 22 July 2021
    Dataset Added on HDX [?]: 25 June 2020
    This dataset updates: Every year
    The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters
  • COD 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2021-March 28, 2024 ... More
    Modified [?]: 12 July 2021
    Dataset Added on HDX [?]: 19 January 2021
    This dataset updates: Every year
    This dataset is part of the data series [?]: Humanitarian Needs Overview
    Dataset contains Sudan baseline data -population,IDPs,Refugees,GAM,IPC- and the overall number of people in need(PIN ) and by sector down to admin 2 level.
  • 70+ Downloads
    Time Period of the Dataset [?]: May 01, 2021-March 01, 2022 ... More
    Modified [?]: 29 June 2021
    Dataset Added on HDX [?]: 29 June 2021
    This dataset updates: As needed
    Latest data shows that an estimated 7.3 million people in Sudan (16% of the population analyzed) are in high levels of acute food insecurity (IPC Phase 3 or above) between April and May (current period) and require urgent action. Of these, around 5.5 million people are classified in Crisis (IPC Phase 3) while around 1.8 million are critically food insecure classified in Emergency (IPC Phase 4). The most affected localities of Red Sea State (Halaib and Jubayt-el-maaadin) are classified in Emergency (IPC Phase 4). An increase in localized conflicts triggered population displacement, which, combined with the deterioration of the economy, led to higher than usual levels of acute food insecurity. As a result, the highest prevalence of population in Crisis (IPC Phase 3) or worse are observed in North Darfur (25%), followed by West Darfur (22%), North Kordofan (20%), South Kordofan (20%), Gedarif (19%) and Central, East and South Darfur states, ranging from 17-18%.
  • 40+ Downloads
    Time Period of the Dataset [?]: June 27, 2021-March 28, 2024 ... More
    Modified [?]: 29 June 2021
    Dataset Added on HDX [?]: 22 June 2021
    This dataset updates: As needed
    IOM Sudan DTM teams activated EET to monitor the displacement of individuals affected by inter-communal conflict between Masalit and Arab tribes. Clashes initially erupted on 16 January 2021 in the Krinding area of Ag Geneina town, West Darfur. On 3 April 2021, inter-communal conflict has escalated in the Hai Eljabal area of Ag Geneina town, West Darfur, resulting in additional displacement
  • 300+ Downloads
    Time Period of the Dataset [?]: March 01, 2020-December 31, 2020 ... More
    Modified [?]: 15 April 2021
    Dataset Added on HDX [?]: 15 April 2021
    This dataset updates: Every three months
    Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results. These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 01, 2018-December 31, 2018 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    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
  • Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More
    Modified [?]: 10 April 2021
    Dataset Added on HDX [?]: 11 April 2021
    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
  • 40+ Downloads
    Time Period of the Dataset [?]: May 05, 2020-May 05, 2020 ... More
    Modified [?]: 6 April 2021
    Dataset Added on HDX [?]: 6 April 2021
    This dataset updates: Never
    This dataset is part of the data series [?]: Global Earthquake Model Foundation - Level 1 Exposure Data
    This data was developed as part of the Modelling Exposure Through Earth Observation Routines (METEOR) project and is a Level 1, or a global-quality exposure data set. Minimal country-specific data was collected. The data is intended for CAT modeling and loss estimation. Repurposing this data for any reason other than assessing risk is not recommended. The data presents the estimated number of buildings, building area, and rebuilding value at a 15-arcsecond grid resolution (approximately 500 meters at the equator). This data set is in point shapefile format where the points represent the centroids of the 15-arcsecond grid. The results were created through a process of spreading the number of buildings to the 15-arcsecond level by a statistical assessment of moderate resolution EO data, which is described in more detail in the dasymetric mapping lineage processing step. The estimated building count at any given area is a result of statistical processes and should not be mistaken as a building count. The structural classes of buildings used for risk assessment are estimated given the building wall, floor, and roof material classes surveyed through 2002 Population and Housing Census - Volume 1. Analytical report. Additionally, the data is provided in Open Exposure Data (OED) import format, as a pair of CSV files. One CSV file contains the location details, and the other is an "account" file that is filled with default information to satisfy OED format requirements. The OED input files are set to use "All perils" (i.e. "AA1"). All required OED account-related fields are populated with "1" by default (such as PortNumber, AccNumber, PolNumber). If you find this data useful please provide feedback via our questionnaire; it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 Please see the METEOR project page for information about the METEOR Project: http://meteor-project.org/ Please see the METEOR map portal for interactive maps: https://maps.meteor-project.org/ For more information about the Open Exposure Data (OED) standard, please see https://github.com/OasisLMF/OpenDataStandards
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2020-December 31, 2020 ... More
    Modified [?]: 25 March 2021
    Dataset Added on HDX [?]: 17 May 2020
    This dataset updates: As needed
    The data set contains the people in need, people targeted and people reached by humanitarian assistance in Sudan during the period January-December 2020
  • 70+ Downloads
    Time Period of the Dataset [?]: July 29, 2020-November 30, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 5 August 2020
    This dataset updates: As needed
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
  • 400+ Downloads
    Time Period of the Dataset [?]: November 20, 2020-November 20, 2020 ... More
    Modified [?]: 4 March 2021
    Dataset Added on HDX [?]: 20 November 2020
    This dataset updates: As needed
    Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
  • 100+ Downloads
    Time Period of the Dataset [?]: August 16, 2020-November 26, 2020 ... More
    Modified [?]: 24 February 2021
    Dataset Added on HDX [?]: 24 February 2021
    This dataset updates: Never
    This inaugural round of Sudan's Multi-Sector Needs Assessment (MSNA), conducted by REACH and OCHA in close collaboration with the Inter-Sectoral Coordination Group (ISCG), seeks to understand multi-sectoral priority humanitarian needs of populations across the whole of Sudan. The findings from this assessment are presented in this document and are intended to provide timely updates on key sectoral needs and priorities in order to inform humanitarian response and strategic programming for non-displaced, IDP and refugee households across the country.