{"doc_desc":{"title":"WBG_SDN_2025_WMS-R3_v01_M","idno":"DDI_WBG_SDN_2025_WMS-R3_v01_M_WB","producers":[{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank","role":"Documentation of the study"}],"prod_date":"2025-10-20","version_statement":{"version":"Version 01 (2025-10-20)"}},"study_desc":{"title_statement":{"idno":"WBG_SDN_2025_WMS-R3_v01_M","title":"Welfare Monitoring Survey Round III, 2025","sub_title":"Monitoring Food Insecurity, Damage Assessment, Social Cohesion, and Access to Financial Services in Sudan","alternate_title":"SWMS R3"},"authoring_entity":[{"name":"Franck M. Adoho","affiliation":"World Bank"},{"name":"Tom Bundervoet","affiliation":"World Bank"}],"production_statement":{"producers":[{"name":"Romeo Gansey","abbr":"","affiliation":"World Bank","role":"Survey design and data analysis"}],"funding_agencies":[{"name":"World Bank","abbr":"WB","role":"Funder"}]},"distribution_statement":{"contact":[{"name":"Franck M. Adoho","affiliation":"World Bank","email":"fadoho@worldbank.org","uri":""}],"depositor":[{"name":"Poverty Reduction and Policy Management Network (PREM)","abbr":"","affiliation":"","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"This survey represents the third round of a series of mobile phone surveys"},"version_statement":{"version":"Edited, anonymized dataset for public distribution.","version_date":"2025-04-30"},"study_info":{"abstract":"Household living conditions in Sudan have been evolving rapidly, necessitating timely monitoring. In response, the World Bank conducted the third round of a welfare survey between February and March 2025, nearly three months after the second round. The survey focuses on four key themes: food insecurity, damage assessment, social cohesion, and access to financial services. It is based on a probability sample of 3,058 respondents across 18 states.","coll_dates":[{"start":"2025-02-16","end":"2025-03-26","cycle":""}],"nation":[{"name":"Sudan","abbreviation":"SDN"}],"geog_coverage":"National (all 18 states).","analysis_unit":"-Household -Individual","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"Voluntas","abbr":"Voluntas","role":"","affiliation":""}],"sampling_procedure":"The survey is based on a probability sample of adult Sudanese (aged 18 and above) with mobile phones, spanning all 18 states. Respondents were selected through a one-stage random sampling process from a frame comprising 45,000 phone numbers from all over Sudan provided by the implementation partner, supplemented by approximately 1,000 numbers gathered during household listings in focus group discussions. The implementation partner made up to seven call attempts per number when initial contact was unsuccessful\u2014whether due to unanswered calls, missed connections, or respondents being unavailable to complete the interview. In regions with insufficient or unstable network coverage, such as Darfur and Kordofan states, we adapted our methodology to ensure comprehensive data collection by implementing a robust random walk sampling technique.","coll_mode":["Computer Assisted Telephone Interview [cati]"],"research_instrument":"The third-round questionnaire incorporated standardized tools to ensure data quality and comparability. Food insecurity questions were adapted from the World Food Program\u2019s established indicators. The survey instrument was initially developed in English, then translated and administered in Arabic. It covered four core sections: food insecurity, damage assessment, social cohesion, and access to financial services.","coll_situation":"1. Organization of the fieldwork: The survey was implemented using SurveyCTO\u2019s CATI (Computer-Assisted Telephone Interviewing) platform by a dedicated team of trained Voluntas enumerators operating from a centralized call center. The team comprised 33 enumerators and 6 supervisors, with each enumerator conducting individual phone interviews. 2. Data: Data from completed and partially completed interviews were uploaded daily to ensure timely monitoring and quality control. 3. Respondents: Each household interview was conducted with a single respondent (typically a knowledgeable adult or the head of households) who could consult other household members when needed to provide accurate responses.","act_min":"Voluntas organized supervision using interval recording and random call back of a sub-sample. There were 33 data collectors and 6 office supervisors.","weight":"To account for the survey design and correct for unequal selection probabilities, household and individual weights were constructed using a maximum entropy approach. The 2022 Labor Force Survey serves as the reference dataset, with its geographic distribution adjusted to reflect displacement patterns based on the International Organization for Migration\u2019s Displacement Tracking Matrix (March 2025 update)."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The dataset has been anonymized and is available as a Public Use Dataset.","required":"","form_no":"","form_uri":""}],"contact":[{"name":"Franck M. Adoho","affiliation":"World Bank","email":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include: \n - the Identification of the Primary Investigator\n - the title of the survey (including country, acronym and year of implementation)\n - the survey reference number\n - the source and date of download\n\n Example:\n Franck M. Adoho (World Bank), Tom Bundervoet (World Bank). Sudan - Welfare Monitoring Survey Round III, 2025, Monitoring Food Insecurity, Damage Assessment, Social Cohesion, and Access to Financial Services in Sudan (SWMS R3). Ref: WBG_SDN_2025_WMS-R3_v01_M. Downloaded from [uri] on [date].","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey"}