UNHCR_ETH_2022_RMS_IDP_v2.1
Results Monitoring Survey, IDP - 2022
Name | Country code |
---|---|
Ethiopia | ETH |
Other Household Survey [hh/oth]
The UNHCR Results Monitoring Survey (RMS) is a household-level survey on persons of concern (PoC) to UNHCR directly or indirectly assisted by UNHCR, including refugees and asylum seekers, internally displaced persons, returnees, stateless and others of concern. The objective of the survey is to monitor impact and outcome level indicators on education, healthcare, livelihoods, protection concerns, shelter, and water and sanitation. The results contribute to an evidence base for reporting against UNHCR’s multi-year strategies to key stakeholders.
The RMS can be implemented in any operational context. A standard structured questionnaire has been developed for the RMS, which can be conducted as a stand-alone survey or flexibly integrated with other data collection exercises. The data includes indicators collected at both the household and individual (household-member) level, and results are statistically representative.
This RMS took place in Ethiopia from July 2022 to August 2022. The surveyed population was IDPs only. Total number of IDPs in Ethiopia is close to 3,500,000 as of 2022. The survey design uses a cross-sectional, stratified two stage cluster random sampling, and it is meant to be representative at the ADM3 level.
This dataset is the anonymized version of the original data.
Sample survey data [ssd]
Households and individuals
v2.1: Edited, cleaned and anonymised data
2022-12-15
The scope includes:
Topic |
---|
Livelihood and Social cohesion |
Education |
Basic Needs |
Domestic Needs/Household Support |
Water Sanitation Hygiene |
Shelter/Other Infrastructure |
Amhara, Oromia, SNNP and Somali
All IDP in Amhara, Oromia, SNNP and Somali
Name |
---|
UNHCR |
Name |
---|
Tango International |
Two approaches were used for the IDP survey: 1) the sample frame (SF)-based approach and 2) the respondent-driven sampling (RDS) approach.
The SF-based survey was conducted in half of the IDP sample clusters (12 clusters). The SF-based survey was conducted by randomly selecting 30 households from each randomly selected cluster for the interview. Random selection of 30 IDP households was done once the IDP household listing was conducted by GPS in the selected clusters. The listing exercise involved GPS visiting the 13 selected clusters and working with local focal points to acquire and review the list of all IDP households at the cluster level. 30 households per cluster were selected for the interview. If any cluster was too large and the IDP households were too scattered, households were randomly selected from the smaller cluster.
The RDS-based approach was used in half of the IDP clusters. RDS is typically applied in contexts where a sampling frame is not available or is unreliable and when it is not possible to randomly select a sample representing the entire population of interest. This method combines 'snowball sampling' (getting individuals to refer those they know, who in turn refer those they know, and so on) with a mathematical model that weights the sample to compensate for the fact that the sample was collected in a non-random way.
Start | End |
---|---|
2022-07-28 | 2022-08-13 |
Name |
---|
UNHCR |
Tango International |
UNHCR (2022). Ethiopia: Results Monitoring Survey, IDP - 2022. Accessed from: https://microdata.unhcr.org
Name | Affiliation | |
---|---|---|
Curation team | UNHCR | microdata@unhcr.org |
UNHCR_ETH_2022_RMS_IDP_v2.1
Name |
---|
UNHCR |
2022-12-15