OCHA Sudan

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Datasets [81] | Archived Datasets[0] [?]
  • Updated 26 September 2021 | Dataset date: September 23, 2021-September 28, 2021
    The baseline data together with the People in Need (PIN) and severity of needs data by humanitarian condition, population group and sector.
    This dataset updates: Every year
  • Updated 10 May 2020 | Dataset date: May 10, 2020-May 10, 2020
    This data set contains people in need figures for Sudan by locality (Admin level 2) and sector
    300+ Downloads
    This dataset updates: As needed
  • Updated 13 May 2020 | Dataset date: October 11, 2020-March 22, 2021
    This dataset contains operational presence of humanitarian partners in Sudan at Admin 1 level in response to Coronavirus pandemic.
    60+ Downloads
    This dataset updates: As needed
  • Updated 29 May 2020 | Dataset date: May 25, 2020-May 25, 2020
    COVID-19 cases high risk population arrivals by state_25 May 2020
    70+ Downloads
    This dataset updates: As needed
  • Updated 18 January 2021 | Dataset date: January 11, 2021-September 28, 2021
    This shapefile shows the Refugee camps in Sudan
    50+ Downloads
    This dataset updates: As needed
  • Updated 18 January 2021 | Dataset date: January 11, 2021-September 28, 2021
    The data shows the refugee camps in Sudan
    60+ Downloads
    This dataset updates: As needed
  • Updated 10 March 2021 | Dataset date: December 31, 2014-August 31, 2020
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working and what they are doing in order to identify gaps and plan for future humanitarian response. This dataset includes a list of humanitarian organizations by state and sector currently registered in Sudan. If you have updates for the 3W please contact OCHASudan@un.org.
    2400+ Downloads
    This dataset updates: Every year
  • Updated 9 June 2021 | Dataset date: January 01, 2021-September 28, 2021
    This dataset is made for planning purposes. It contains the 2021 number of people potentially at risk of hazards (floods, disease outbreaks and conflict) in Sudan.
    100+ Downloads
    This dataset updates: Every year
  • Updated 29 June 2021 | Dataset date: June 27, 2021-September 28, 2021
    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
    20+ Downloads
    This dataset updates: As needed
  • Updated 12 July 2021 | Dataset date: January 01, 2021-September 28, 2021
    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.
    500+ Downloads
    This dataset updates: Every year
  • Updated 5 August 2021 | Dataset date: November 10, 2020-November 10, 2020
    Sudan - Flood affected Areas 2020, Destroyed Houses completely/ partially and affected people and Deaths.
    500+ Downloads
    This dataset updates: Never
  • Updated 8 September 2021 | Dataset date: January 01, 2015-December 31, 2021
    This data has been produced by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. The data provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance. It represents a consolidated evidence base and helps inform joint strategic response planning.
    1300+ Downloads
    This dataset updates: Every year
  • Updated 13 July 2021 | Dataset date: January 01, 2021-March 31, 2021
    The data set contains the number of people in need, people targeted and people reached by humanitarian assistance in Sudan during the period January-March 2021.It contains the overall reached and the sector breakdowns too. The data is provided by admin 2 level.
    100+ Downloads
    This dataset updates: Every three months
  • Updated 28 October 2019 | Dataset date: April 17, 2019-April 17, 2019
    Sudan Hazards datasets including data on AWD outbreak, Armed tribal conflict, Drought and Floods.
    100+ Downloads
    This dataset updates: As needed
  • Updated 29 June 2021 | Dataset date: May 01, 2021-March 01, 2022
    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%.
    20+ Downloads
    This dataset updates: As needed
  • Updated 8 June 2021 | Dataset date: January 01, 2017-December 31, 2018
    Data on location, type, status of schools and corresponding number of students by state and locality.
    50+ Downloads
    This dataset updates: As needed
  • Updated 30 October 2019 | Dataset date: October 29, 2019-September 28, 2021
    This data shows the locations of hospital in Khartoum State
    200+ Downloads
    This dataset updates: As needed
  • Updated 16 March 2020 | Dataset date: December 31, 2018-December 31, 2018
    Methodology The survey used the Simple Spatial Survey Method (S3M), an area-based sampling methodology that uses settlement locations for sample selection. The survey was designed to be spatially representative of the whole country its smaller administrative units up to the locality level with the exception of few inaccessible areas . An even distribution of primary sampling units (PSUs) (i.e., villages/city blocks) was selected from across the country. This approach was used as it is most suited to assessing indicators over wide areas to detect and map heterogeneity of indicators which is the primary objectives of this national survey (Gilbert 1987; Elliot et al. 2000; Pfeiffer 2008). PSUs (i.e. villages/city blocks) were selected based on their proximity to centroids of a hexagonal grid laid over the entire country. The resulting sample is a triangular irregular network (Pfeiffer 2008; E. H. Isaaks and Srivastava 1989). A variable density sampling approach (E. H. Isaaks and Srivastava 1989) was used to achieve a sample that draws a minimum number of PSUs from localities and from urban areas so that they can provide estimates for each of these areas with useful precision. A sample of up to n = 32 mother and child pairs in m = 3027 PSUs was taken (see Figure 2.1). Across Sudan, a total of 93,882 households and 145,002 children below 5 years of age were surveyed. Preparations, data collection and analysis: Planning of the S3M II survey and in particular, the timeframe of activities, was based on the previous experience of undertaking S3M-I but also influenced the inputs of stakeholders at federal and state level, particularly members of the S3M-II technical committee at federal level, which included WHO, WFP, the Ministry of Education (MOE), the Ministry of Security and Social Welfare (MOSSW) and the Ministry of Agriculture (food security directorate), besides the Ministry of Health and UNICEF. FMoH and UNICEF, through the S3M II technical committee, regularly engaged with key stakeholders (one to two times per week during the planning phase) and ensured their involvement in the analysis stage. All technical committee members were invited to participate in the data analysis workshops. Other stakeholders - like the Central Bureau of Statistics (CBS) were consulted and informed of the progress achieved during each of the key stages (preparation, data collection and data analysis) while stakeholders such as donors were informed of progress. In addition, in every state, state level technical committees were formed and functioned to support the planning, data collection and analysis processes. The Ethical approval request was prepared by the FMOH and submitted to the ethics committee at the research department at the FMOH. Ethical approval was granted for both S3M-II and the nested micronutrients survey from FMOH. All other relevant approvals related to undertaking the survey were obtained including visas for international consultants supporting the survey, travel permits etc. Detailed maps for all states were obtained through a successful partnership between UNICEF, FMOH and CBS. A joint workshop was undertaken in May 2018 followed by field visits in June 2018 to verify all coordinates was conducted (workshop hosted at the CBS). This was followed with a joint field visits to obtain and physically collect missing coordinates. Through UNICEF Valid International with Brixton Health were contracted and the organisations worked closely with FMOH and UNICEF throughout the survey as planned. It should be noted that the individuals included in the institutional contract were the experts who developed and later refined the S3M methodology as well as provided support to the wider Sudan team with the undertaking of the S3M-I survey in 2013. Initial list of the indicators to be included in the survey was developed through wide consultation with various sectors and stakeholders including government line ministries (MoH, MoE, MSSW, MoA) and UN agencies (UNICEF, WHO and WFP) through the S3M technical committee. The proposed list was further refined and revised by an external firm (Valid international organization) who also provided technical support throughout the survey. 226 indicators were collected and reported (see annex 1 for details). Survey leads from UNICEF and MoH were identified and they further identified 9 UNICEF, 20 FMoH and 18 SMoH staff to supervise data collection and management. During Gezira pilot, the supervisors were trained to serve as data collectors to sharpen their skills to lead the data collection process in their respective states.. As a result, there were nine UNICEF, 20 Federal and 18 state level supervisors in addition to four supervisors from WHO who participated to oversee the collection of the micronutrient related data, as did their counterparts from the FMOH. Finally, a third-party ICT company was contracted by the FMOH to develop data collection digital tools and to provide ICT technical support and troubleshooting with regard to tablets and software issues, including presence of one ICT person in each state throughout the data collection. Sampling was carried out from 11 to 23 July 2018 by UNICEF and Ministry of Health staff in accordance with the S3M sampling methodology. This was based on the mapping of settlements across the entire country in villages and city blocks, carried out just prior to this (in 2.3.3 above), resulting in the assignment of correct GPS coordinates for more than 25,000 villages across the country. Based on the mapping of settlements, distribution of primary sampling units was selected for each locality. This was done based on random sample selection using a sampling software designed to undertake S3M variable density sampling. The approach and selection were approved for their rigor and appropriateness by the external technical experts from Valid International. From the selected villages, consultations with state authorities including State Ministries of Health (SMOH), Humanitarian Aid Commission (HAC) and the National Intelligence and Security Service (NISS) were held to ensure the accessibility and security of villages for the survey teams and in the case of inaccessible villages, a replacement was made using the same sampling software. Further selection of households was done during the actual survey data collection; under the oversight of the external technical experts. Master training was carried-out in Gezira state (pilot state) in July-August 2018 to test tools including digital data collection tools, laboratory testing for micronutrients indicators and logistics and to train survey supervisors (through a Training of Trainers). Upon the identification of staff, all supervisors including the nine UNICEF supervisors, the four WHO supervisors, the 18 state supervisors and the 20 FMOH supervisors (including nine from Gezira state) received training from July 16 to July 25 on the following topics:  S3M-II methodology.  S3M-II questionnaire.  Digital data collection tools (tablets).  Micronutrients samples collection and storage.  TORs of all personnel and groups.  Anthropometric measurements standardisation.  S3M-II monitoring tools.  S3M-II logistic, data collection plans and quality assurance.  Local calendar.  S3M-II sampling including urban sampling. In addition, 18 state nutrition directors received basic training on the S3M-II methodology, indicators, and the roles and responsibilities for committees involved. Further training for the supervisors for the micronutrient survey were done separately. This was followed by data collection in Gezira state which was carried-out by supervisors. Subsequent state level trainings were conducted prior to data collection for each state. Data from phase one states (North Darfur, East Darfur, West Kordofan, River Nile, Sennar, South Darfur, North Kordofan, Khartoum and Northern states) was collected in October 2018. Data from phase II states (White Nile, Kassala, Blue Nile, Central Darfur and West Darfur, Red Sea, South Kordofan and Gedaref states) was collected from November 2019 to January 2019. Close monitoring, supportive supervision and capacity-building to the Ministry of Health staff continued throughout the first phase. Technical assistance was provided from UNICEF S3M-II technical staff and Valid International throughout data collection.
    700+ Downloads
    This dataset updates: As needed
  • Updated 25 March 2021 | Dataset date: January 01, 2020-December 31, 2020
    The data set contains the people in need, people targeted and people reached by humanitarian assistance in Sudan during the period January-December 2020
    600+ Downloads
    This dataset updates: As needed
  • Updated 26 February 2019 | Dataset date: January 31, 2019-January 31, 2019
    This data set contains people in need figures for Sudan by locality (Admin level 2)
    900+ Downloads
    This dataset updates: As needed
  • Updated 9 December 2020 | Dataset date: November 22, 2020-November 22, 2020
    Sudan 3Ws data for November 2020
    30+ Downloads
    This dataset updates: Every six months
  • Updated 10 December 2020 | Dataset date: December 01, 2020-December 01, 2020
    The data shows Who is doing What and Where by locality in Sudan
    90+ Downloads
    This dataset updates: Every six months
  • Updated 10 March 2020 | Dataset date: March 10, 2020-March 10, 2020
    The depiction and use of boundaries, geographic names and related data shown on maps and included in lists, tables, documents, and databases are not warranted to be error free nor do they necessarily imply official endorsement or acceptance by the United Nations. This file is for planning purpose only.
    80+ Downloads
    This dataset updates: As needed
  • Updated 30 October 2016 | Dataset date: June 01, 2014-June 01, 2014
    The zipped shape-file contains point data on the location of nutrition feeding centers in Gedaref State, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
    100+ Downloads
    This dataset updates: Every year
  • Updated 16 July 2018 | Dataset date: July 14, 2016-July 14, 2016
    WFP Food for Education (FFE) Supported Schools in Sudan. The Microsoft Excel spread sheet contains consolidated record of FFE in in the states of Kassala, Gadaref, Gazeira, North Kordofan, Red Sea, Sennar and South Kordofan. It includes state names, locality names, locations, school names, XY coordinates (in Decimal Degrees) and education by type.
    1200+ Downloads
    This dataset updates: Every six months