{"doc_desc":{"title":"SSD_2025_HFPS-W1_v01_M","idno":"DDI_SSD_2025_HFPS-W1_v01_M_WB","producers":[{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank","role":"Documentation of the study"}],"prod_date":"2026-09-25","version_statement":{"version":"Version 01 (2026-09-25)"}},"study_desc":{"title_statement":{"idno":"SSD_2025_HFPS-W1_v01_M","title":"High Frequency Phone Survey Wave I, 2025","sub_title":"Monitoring Food Security, Household Characteristics, Education, Employment, Access to Services, Crop Production, and Social Cohesion","alternate_title":"SSD HFPS-W1 2025"},"authoring_entity":[{"name":"Franck M. Adoho","affiliation":"World Bank"},{"name":"Nduati M Kariuki","affiliation":"World Bank"},{"name":"Tom Bundervoet","affiliation":"World Bank"}],"production_statement":{"producers":[{"name":"Romeo J Gansey","abbr":"","affiliation":"World Bank","role":"Survey design and data analysis"}],"funding_agencies":[{"name":"The World Bank","abbr":"WB","role":"Funder"}]},"distribution_statement":{"contact":[{"name":"Franck M. Adoho","affiliation":"World Bank","email":"fadoho@worldbank.org","uri":""}],"depositor":[{"name":"","abbr":"","affiliation":"","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]"},"version_statement":{"version":"Edited, anonymized dataset for public distribution.","version_date":"2025-06-30"},"study_info":{"abstract":"Household living conditions in South Sudan are deteriorating rapidly against a backdrop of protracted conflict, macroeconomic instability, and recurrent climate shocks, underscoring the urgent need for timely and consistent welfare monitoring. In response, the World Bank conducted the first round of the South Sudan Welfare Monitoring Survey (SSD_HFS) between May and July 2025. Based on a probability sample of 2,020 respondents across 13 states and administrative regions, the survey tracks key indicators,  including food security, livelihoods, access to services, and exposure to shocks, establishing a baseline for a planned series of periodic surveys to monitor household welfare over time.","coll_dates":[{"start":"2025-05-28","end":"2025-06-21","cycle":""}],"nation":[{"name":"South Sudan","abbreviation":"SSD"}],"geog_coverage":"National (All 10 States and 3 administrative regions)","analysis_unit":"- Household -Individual","data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"data_collectors":[{"name":"Dalberg Research","abbr":"Dalberg","role":"","affiliation":""}],"sampling_procedure":"The first wave of the South Sudan Welfare Monitoring Survey is based on a probability sample of adults aged 18 and above with access to mobile phones, covering all 13 states and administrative areas. Respondents were selected through a one-stage random sampling process using the sampling frame of the Multiple Indicators Cluster Survey (MICS), generously provided by the South Sudan National Bureau of Statistics. To achieve the target sample size of 2,020 completed interviews, this frame was supplemented with random digit dialing (RDD), broadening coverage to mobile phone users not captured in the MICS listings. Interviews were conducted by trained enumerators using computer-assisted telephone interviewing (CATI), enabling real-time data validation and quality control. To maximize response rates, the implementation partner made up to seven call attempts per number where initial contact was unsuccessful due to missed calls, unanswered attempts, or respondent unavailability.","coll_mode":["Computer Assisted Telephone Interview [cati]"],"research_instrument":"The first-round questionnaire incorporated standardized tools to ensure data quality and comparability across topics. Questions on food insecurity 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 six core sections: Household Characteristics, Education, Employment, Access to Services, Crop Production, Food Security, and Social Cohesion.","coll_situation":"Organization of Fieldwork. The survey was implemented using SurveyCTO's Computer-Assisted Telephone Interviewing (CATI) platform by a dedicated team of trained enumerators operating from a centralized call center. The team comprised 28 enumerators and 2 supervisors, with each enumerator responsible for conducting individual phone interviews in accordance with a standardized protocol.\nData Management. Data from both completed and partially completed interviews were uploaded daily to enable timely monitoring and ensure rigorous quality control throughout the data collection process. This approach allowed supervisors to identify and address emerging issues in real time, minimizing data gaps and inconsistencies.\nRespondent Engagement. Each interview was conducted with a single adult respondent \u2014 typically the head of household or another knowledgeable adult member \u2014 who was permitted to consult other household members as needed to provide accurate and complete responses.","act_min":"Dalberg organized supervision using interval recording and random call back of a sub-sample. There were 28 data collectors and 2 office supervisors.","weight":"To account for the survey design and adjust for unequal selection probabilities arising from the dual-frame sampling approach, household and individual survey weights were constructed using a maximum entropy method. This approach minimizes assumptions about the underlying population distribution while ensuring that the weighted sample aligns closely with known population benchmarks. The sampling frames of the 2025 Multiple Indicators Cluster Survey (MICS) and the 2022 Household Budget Survey (HBS) were used as reference data to calibrate the weights, anchoring estimates to the most recent and reliable population distributions available for South Sudan. The resulting weights allow survey estimates to be interpreted as representative of the mobile phone-owning adult population across all 13 states and administrative areas."}},"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), Nduati M Kariuki (World Bank), Tom Bundervoet (World Bank). South Sudan - High Frequency Phone Survey Wave I, 2025, Monitoring Food Security, Household Characteristics, Education, Employment, Access to Services, Crop Production, and Social Cohesion (SSD HFPS-W1 2025). Ref: SSD_2025_HFPS-W1_v01_M. Downloaded from [uri] on [date].","conditions":"The dataset has been de-identified in accordance with standard microdata anonymization protocols and is disseminated as a Public Use File (PUF). Access is contingent upon users' formal acceptance of the following terms and conditions: Data Reproduction. Users are prohibited from reproducing, duplicating, or extracting any files or file segments in whole or in part, except where explicitly authorized in writing by the data depositor. Confidentiality and Re-identification. Users must not apply any statistical, computational, or inferential technique \u2014 including record linkage, triangulation, or auxiliary data matching \u2014 with the intent or effect of identifying individual respondents, establishments, or sampling units not explicitly named in the public use files. Inadvertent Disclosure. If any individual, household, or establishment is unintentionally identified during analysis, the user is obligated to treat such information with strict confidentiality, refrain from disclosing it in any form, and report the occurrence to the data depositor without delay.","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"}