{"doc_desc":{"idno":"DDI_SSD_2023_FDS_v01_M","producers":[{"name":"UN Refugee Agency","abbr":"UNHCR","affiliation":"UN","role":"Metadata producer"},{"name":"Development Data Group","abbr":"DECDG","affiliation":"The World Bank","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2024-07-15","version_statement":{"version":"Identical to a metadata (UNHCR_SSD_2023_FDS_v2.1) published on UNHCR catalog (https:\/\/microdata.unhcr.org\/index.php\/home). Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"SSD_2023_FDS_v01_M","title":"Forced Displacement Survey 2023","alternate_title":"FDS 2023"},"authoring_entity":[{"name":"UN Refugee Agency (UNHCR)","affiliation":"UN"}],"distribution_statement":{"contact":[{"name":"Curation team","affiliation":"UNHCR","email":"microdata@unhcr.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]"},"version_statement":{"version":"Version 2.1: Edited, cleaned and anonymised data.\n    Please note that the anonymization process required changes to the original data. In particular, few observations had to be dropped so that the total dataset size may be slightly different from the numbers published in official reports.","version_date":""},"study_info":{"keywords":[{"keyword":"FDS","vocab":"","uri":""}],"topics":[{"topic":"Health","vocab":"","uri":""},{"topic":"Livelihood and Social cohesion","vocab":"","uri":""},{"topic":"Health and Nutrition","vocab":"","uri":""},{"topic":"Food security","vocab":"","uri":""},{"topic":"Water Sanitation Hygiene","vocab":"","uri":""},{"topic":"Protection","vocab":"","uri":""},{"topic":"Income Generation","vocab":"","uri":""},{"topic":"Basic Needs","vocab":"","uri":""}],"abstract":"The Forced Displacement Survey (FDS) is UNHCR\u2019s new flagship household survey programme designed to standardize, streamline, and build on the existing UNHCR survey landscape to produce high-quality and timely data on people forced to flee. The FDS is comparable across countries over time and aligned with international statistical standards. And it has the purpose of providing actionable evidence to inform the government\u2019s operational and policy-related data needs, as well as its humanitarian and development partners.\n\t\n\tAs a multi-topic survey, the FDS collected household and individual level data on the socioeconomic characteristics and living conditions of targeted populations. Data was collected through face-to-face household interviews,  where up to four household members aged 15 and above were interviewed: (1) the head of the household or a household member who was knowledgeable about the household; (2) a randomly selected household member who provided information about individual life experiences; (3) the caregiver of a randomly selected child under five years of age; and (4) a randomly selected woman who gave birth in the last two years.\n\t\n\tSouth Sudan was the 1st pilot country where FDS has been implement. South Sudan hosted refugees since its independence in 2011, despite facing multiple social challenges and internal conflicts. By April 2024 South Sudan hosted 450,000 refugees, mostly from Sudan, Burundi, the Central African Republic, and other countries.\n\t\n\tThe FDS in South Sudan collected data on a nationally representative sample of registered refugees and on a sample of the national population living in proximity of refugees located in the north of South Sudan. Data collection occurred between April and December 2023. The final realized sample of the FDS in South Sudan was composed of around 3,000 households, all located in rural areas. Among them, 68 per cent are refugee households and 32 per cent belong to host communities.","coll_dates":[{"start":"2023-04-13","end":"2023-12-14","cycle":""}],"nation":[{"name":"South Sudan","abbreviation":"SSD"}],"analysis_unit":"Household and individual","data_kind":"Sample survey data [ssd]","notes":"The scope includes:\n- demographics\n- displacement information\n- WASH\n- assets\n- livelihood\n- health\n- wellbeing"},"method":{"data_collection":{"data_collectors":[{"name":"UN Refugee Agency","abbr":"UNHCR","role":"","affiliation":"UN"}],"sampling_procedure":"FDS survey features up to 4 distinct interviews and aims to represent their respective populations:\n\u2022Refugee households,\n\u2022Adults aged 15 and over,\n\u2022Children under the age of 5 and\n\u2022Women who gave birth within 2 years prior to the interview.\nThe microdata features weights to correctly represent these populations. \n\nThe sampling design identified 5 distinctive sampling strata:\n\u2022Refugees in Pariang county\n\u2022Refugees in Mabane county\n\u2022Refugees in Central Equatoria, West Equatoria and Jonglei\n\u2022Hosts in Pariang county\n\u2022Hosts in Mabane county\n\nThe main sampling principle assumed equal sample size for each identified stratum. Due to late changes in the survey design oversampling of refugees in Pariang and Mabane county was introduced in order to achieve more analytical power at the levels below the identified strata.","coll_mode":["Computer Assisted Personal Interview [capi]"],"weight":"In the first stage of weight estimation unequal probabilities of selection were adjusted. The host sample initial sample adjustment weights include adjustment for proximity to offset the differential probabilities of selection based on proximity of the buildings to the boundary of the refugee camp. Furthermore, the adjustment also included an adjustment for a household owning more than one building (based on the self-reported proxy collected during interview).\n\nThe first stage weights were further adjusted for structural differences between the sample and the administrative make of each stratum \u2013 i.e. the samples within each stratum resembled the population of each stratum. These weights are rescaled to the size of stratum as sampled.\n\u2022wgh_samp_resc_str is the household weight restructured within each stratum, while maintaining the sampled size of each stratum (rescaled) \u2013 these weights are best for comparative analysis among the strata or analysis within each stratum.\n\u2022wgh_samp_resc_pop is the wgh_samp_resc_str post-stratified to the structure of the population, disregarding the sample size of the strata (i.e. adjusting strata sizes in the sample to their population proportions) and rescaled to the total sample size \u2013 these weights are best used for national level analysis.\n\nSimilarly the weights were estimated for all the observational levels of the data:\n\u2022wgh_str_rr is a weight for a random respondent of age 15 and above restructured within sampling strata (this weight also reflects adjustment of differential household sizes)\n\u2022wgh_pop_rr is a weight for a random respondent of age 15 and above population restructured\n\u2022wgh_str_u5 is a weight for random child under the age of 5 restructured within sampling strata\n\u2022wgh_pop_u5 is a weight for random child under the age of 5 population restructured\n\u2022wgh_str_rw is a weight for a random woman who gave birth within 2 prior years restructured within sampling strata\n\u2022wgh_pop_rw is a weight for a random woman who gave birth within 2 prior years population restructured"}},"data_access":{"dataset_use":{"cit_req":"UNHCR (2023). South Sudan: Forced Displacement Survey, 2023. Accessed from: https:\/\/microdata.unhcr.org"}}},"schematype":"survey","tags":[{"tag":"NODOI"}]}