IHSN Survey Catalog
  • Home
  • Microdata Catalog
  • Citations
  • Login
    Login
    Home / Central Data Catalog / ETH_2022_RMS-IDP_V01_M
central

Results Monitoring Survey, IDP 2022

Ethiopia, 2022
Get Microdata
Reference ID
ETH_2022_RMS-IDP_v01_M
Producer(s)
UN Refugee Agency (UNHCR)
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Nov 20, 2025
Last modified
Nov 20, 2025
Page views
44
Downloads
3
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ETH_2022_RMS-IDP_v01_M

    Title

    Results Monitoring Survey, IDP 2022

    Abbreviation or Acronym

    RMS-IDP 2022

    Country
    Name Country code
    Ethiopia ETH
    Study type

    Other Household Survey [hh/oth]

    Abstract

    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.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    Version 2.1: Edited, cleaned and anonymised data.

    Version Date

    2022-12-15

    Scope

    Notes

    The scope includes:

    • education
    • healthcare and vaccination
    • livelihoods
    • protection concerns
    • shelter
    • water and sanitation
    Topics
    Topic
    Livelihood and Social cohesion
    Education
    Basic Needs
    Domestic Needs/Household Support
    Water Sanitation Hygiene
    Shelter/Other Infrastructure

    Coverage

    Geographic Coverage

    Amhara, Oromia, SNNP and Somali

    Universe

    All IDP in Amhara, Oromia, SNNP and Somali

    Producers and sponsors

    Primary investigators
    Name Affiliation
    UN Refugee Agency (UNHCR) UN
    Producers
    Name
    Tango International

    Sampling

    Sampling Procedure

    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.

    Data collection

    Dates of Data Collection
    Start End
    2022-07-28 2022-08-13
    Mode of data collection
    • Computer Assisted Telephone Interview [cati]
    Data Collectors
    Name Affiliation Abbreviation
    UN Refugee Agency UN UNHCR
    Tango International

    Data Access

    Citation requirements

    UNHCR (2022). Ethiopia: Results Monitoring Survey, IDP - 2022. Accessed from: https://microdata.unhcr.org

    Contacts

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

    Metadata production

    DDI Document ID

    DDI_ETH_2022_RMS-IDP_v01_M

    Producers
    Name Abbreviation Affiliation Role
    UN Refugee Agency UNHCR UN Documentation of the study
    Development Data Group DECDG World Bank Group Metadata adapted for World Bank Microdata Library
    Date of Metadata Production

    2022-12-15

    Metadata version

    DDI Document version

    Identical to a metadata (UNHCR_ETH_2022_RMS_IDP_v2.1) published on UNHCR catalog (https://microdata.unhcr.org/index.php/home). Some of the metadata fields have been edited.

    Back to Catalog
    IHSN Survey Catalog

    © IHSN Survey Catalog, All Rights Reserved.