UGA_2018_RHCS_v01_M
Refugee and Host Communities Household Survey 2018
Name | Country code |
---|---|
Uganda | UGA |
Income/Expenditure/Household Survey [hh/ies]
Sample survey data [ssd]
Version 01: Edited, anonymized dataset for public distribution.
The 2018 Ugandan Refugee and Host Communities Household Survey (RHCS) covered the following topics:
HOUSEHOLD
COMMUNITY
Refugees and host communities in Uganda (West Nile, South West and Kampala)
Name | Affiliation |
---|---|
The World Bank | WB |
Name | Affiliation | Role |
---|---|---|
Office of the Prime Minister | Government of Uganda | Collaborated in the implementation of the survey |
Uganda Bureau of Statistics | Government of Uganda | Collaborated in the implementation of the survey |
Name | Role |
---|---|
The World Bank | Funded the study |
The survey is representative of the refugee and host community population of Uganda at the national level. Moreover, it is representative of the refugee and host population in the regions of West Nile and South West, and the city of Kampala. The host population is defined as the native population in districts where refugee settlements are situated. The survey used two different sampling frames. The first one, based on the list of Enumeration Areas (EAs) and the information of the 2014 Uganda Population and Housing Census, was used to determine the samples for the host and refugee populations of Kampala, and the host populations in West Nile and Southwest. The second one is a newly developed sampling frame for the refugee population in the West Nile and Southwest regions.
Given the nature of the survey, the sample is stratified by three separate domains. The first domain is the host population in the regions of West Nile and South West. The second is the refugee population in the regions of West Nile and Southwest, and the third, the refugee and host population in Kampala. A total of 221 primary sample units were allocated to the three different domains. For each domain, the sample was obtained based on a two-stage stratified sample of households. In the first stage, PSUs were selected using a Probability Proportional to Size (PPS) sampling method. For the host communities and Kampala, before the selection of the PSUs, district EAs were sorted by residence type (urban/rural), district sub-county, parish, village and EAs. For Kampala, only EAs that contained more than ten refugee households according to the 2014 Census were considered. With this sorting and PPS for the selection of PSUs, implicit stratification by residence type was achieved. For the refugee settlements, EAs were sorted based on the Settlement, Zone, Block, Cluster, Village, EA and by dominant country of origin. The latter was intended to ensure that PSUs with refugees coming from different countries of origin were selected.
Between the first and second stages, a household listing operation was carried out in all selected PSUs outside Kampala. For the listing operation, all selected PSUs were visited and the residential households were located with their address and the name of the household head was recorded. In the second stage, for each selected PSU, ten households were selected from the newly established list using a systematic sampling approach. Household selection was performed in the field prior to the main survey and interviewers only interviewed selected households. This means that no replacements or changes to selected households was allowed in the implementation stage in order to prevent bias. With this design, the survey selected 2,209 residential households, distributed geographically across 13 districts of Uganda
For further details on sampling, see section “Survey instrument” in the survey report (“Informing the Refugee Policy Response in Uganda”).
Two questionnaires were used to collect the 2018 URHS data:
The questionnaires are comprehensive and follow closely the official survey questionnaires (Uganda National Household Survey) that Government of Uganda uses to monitor wellbeing and measure poverty.
Start | End |
---|---|
2018-05 | 2018-07 |
Name |
---|
Uganda Bureau of Statistics |
Name | Affiliation |
---|---|
Aziz Atamanov | World Bank |
Use of the dataset must be acknowledged using a citation which would include:
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.
Name | Affiliation | |
---|---|---|
Carolina Mejia-Mantilla | World Bank | cmejiamantilla@worldbank.org |
DDI_UGA_2018_RHCS_v01_M_WB
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
2021-03-16
Version 01 (March 2020)
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