Forced Displacement Survey 2023
South Sudan, 2023
Get MicrodataIdentification
SSD_2023_FDS_v01_M
Forced Displacement Survey 2023
FDS 2023
| Name | Country code |
|---|---|
| South Sudan | SSD |
Other Household Survey [hh/oth]
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. And 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 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.
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.Sample survey data [ssd]
Household and individual
Version
Version 2.1: 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
The scope includes:
- demographics
- displacement information
- WASH
- assets
- livelihood
- health
- wellbeing
| Topic |
|---|
| Health |
| Livelihood and Social cohesion |
| Health and Nutrition |
| Food security |
| Water Sanitation Hygiene |
| Protection |
| Income Generation |
| Basic Needs |
Producers and sponsors
| Name | Affiliation |
|---|---|
| UN Refugee Agency (UNHCR) | UN |
Sampling
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.
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
| Start | End |
|---|---|
| 2023-04-13 | 2023-12-14 |
- Computer Assisted Personal Interview [capi]
| Name | Affiliation | Abbreviation |
|---|---|---|
| UN Refugee Agency | UN | UNHCR |
Data Access
UNHCR (2023). South Sudan: Forced Displacement Survey, 2023. Accessed from: https://microdata.unhcr.org
Contacts
| Name | Affiliation | |
|---|---|---|
| Curation team | UNHCR | microdata@unhcr.org |
Metadata production
DDI_SSD_2023_FDS_v01_M
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| UN Refugee Agency | UNHCR | UN | Metadata producer |
| Development Data Group | DECDG | The World Bank | Metadata adapted for World Bank Microdata Library |
2024-07-15
Metadata 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.