Login
Login
Microdata Library
  • Home
  • Collections
  • Citations
  • Terms of Use
  • About
  • News
  • Synthetic Data
    Home / Central Data Catalog / EHA / UNHCR_SSD_2023_FDS_V2.1
EHA

Forced Displacement Survey, 2023

South Sudan, 2023
Get Microdata
Reference ID
UNHCR_SSD_2023_FDS_v2.1
Producer(s)
UNHCR
Collections
East and Horn of Africa UNHCR's Forced Displacement Survey
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jul 14, 2024
Last modified
Oct 01, 2024
Page views
81519
Downloads
344
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    UNHCR_SSD_2023_FDS_v2.1

    Title

    Forced Displacement Survey, 2023

    Country
    Name Country code
    South Sudan SSD
    Abstract

    The Forced Displacement Survey (FDS) is UNHCR’s 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. It has the purpose of providing actionable evidence to inform the government’s operational and policy-related data needs, as well as its humanitarian and development partners.
    As 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.
    South Sudan was the first pilot country where FDS has been implemented. 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.
    The 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.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and individual

    Version

    Version Description

    v2.1: Edited, cleaned and anonymised data.
    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.

    Scope

    Notes

    The scope includes:

    • demographics
    • displacement information
    • WASH
    • assets
    • livelihood
    • health
    • wellbeing
    Topics
    Topic
    Health
    Livelihood and Social cohesion
    Health and Nutrition
    Food security
    Water Sanitation Hygiene
    Protection
    Income Generation
    Basic Needs
    Keywords
    FDS

    Producers and sponsors

    Primary investigators
    Name
    UNHCR

    Sampling

    Sampling Procedure

    FDS survey features up to 4 distinct interviews and aims to represent their respective populations:
    • Refugee households,
    • Adults aged 15 and over,
    • Children under the age of 5 and
    • Women who gave birth within 2 years prior to the interview.
    The microdata features weights to correctly represent these populations.

    The sampling design identified 5 distinctive sampling strata:
    • Refugees in Pariang county
    • Refugees in Mabane county
    • Refugees in Central Equatoria, West Equatoria and Jonglei
    • Hosts in Pariang county
    • Hosts in Mabane county

    The 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.

    Weighting

    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).

    The first stage weights were further adjusted for structural differences between the sample and the administrative make of each stratum – i.e. the samples within each stratum resembled the population of each stratum. These weights are rescaled to the size of stratum as sampled.
    • wgh_samp_resc_str is the household weight restructured within each stratum, while maintaining the sampled size of each stratum (rescaled) – these weights are best for comparative analysis among the strata or analysis within each stratum.
    • wgh_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 – these weights are best used for national level analysis.

    Similarly the weights were estimated for all the observational levels of the data:
    • wgh_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)
    • wgh_pop_rr is a weight for a random respondent of age 15 and above population restructured
    • wgh_str_u5 is a weight for random child under the age of 5 restructured within sampling strata
    • wgh_pop_u5 is a weight for random child under the age of 5 population restructured
    • wgh_str_rw is a weight for a random woman who gave birth within 2 prior years restructured within sampling strata
    • wgh_pop_rw is a weight for a random woman who gave birth within 2 prior years population restructured

    Data collection

    Dates of Data Collection
    Start End
    2023-04-13 2023-12-14
    Mode of data collection
    • Computer Assisted Personal Interview [capi]
    Data Collectors
    Name
    UNHCR

    Data Access

    Citation requirements

    UNHCR (2023). South Sudan: Forced Displacement Survey, 2023. Accessed from: https://microdata.unhcr.org

    Contacts

    Contacts
    Name Affiliation Email
    Curation team UNHCR microdata@unhcr.org

    Metadata production

    DDI Document ID

    UNHCR_SSD_2023_FDS_v2.1

    Producers
    Name
    UNHCR
    Date of Metadata Production

    2024-07-15

    Back to Catalog
    • About US
    • Emergencies
    • What we do
    • News and stories
    • Governments and partners
    • Get involved
    • © UNHCR
    • Media Center
    • Emergencies Portal
    • Contact Us
    • Data
    •  
    •  
    •  
    •  
    •  
    • Stay connected

      Follow: