Socio-Economic Profiling Survey 2024
Cameroon, 2024
Get MicrodataIdentification
CMR_2024_SEPS_v01_M
Socio-Economic Profiling Survey 2024
SEPS 2024
| Name | Country code |
|---|---|
| Cameroon | CMR |
Other Household Survey [hh/oth]
This dataset originates from a socio-economic profiling survey conducted in the West Region, Cameroon, focusing on internally displaced persons (IDPs) and host communities. It captures key dimensions such as demographics, living conditions, security, employment and livelihoods, housing, documentation, family reunification, social cohesion, civic participation, access to justice, and future intentions of IDPs.
sample survey data[ssd]
Household and individual
Version
Version 2.1: Edited, cleaned and anonymised data.
Scope
The scope includes:
- demographics
- living conditions
- livelihoods
- housing
- social cohesion
- intentions
| Topic |
|---|
| Health |
| Livelihood and Social cohesion |
| Health and Nutrition |
| Food security |
| Protection |
| Education |
| Basic Needs |
Producers and sponsors
| Name | Affiliation |
|---|---|
| UN Refugee Agency | UN |
Sampling
The survey used a stratified two-stage cluster sampling design covering five municipalities. The sampling frame was based on BUCREP’s cartographic database, which identifies enumeration areas (EAs) with medium or high concentrations of internally displaced persons (IDPs). These 368 EAs contain about 62,500 households and served as the basis for selecting the sample.
In the first stage, EAs were selected within each municipality using probability proportional to size, ensuring that larger areas had a higher chance of selection. After updated household listing in each selected EA, the second stage drew a fixed number of households: 10 IDP households and 10 non-IDP households per EA, using simple random sampling within each group.
For operational simplicity, each municipality was assigned a practical sample of 560 households (280 IDP and 280 non-IDP), resulting in an overall target of 2,800 households across 140 clusters.
Because municipalities contributed equal sample sizes but represent different population sizes, the survey is not self-weighted. Sampling weights were therefore calculated as the inverse of each household’s overall selection probability and later adjusted for non-response and for misclassification (households listed as IDP or non-IDP but identified differently during the interview), ensuring unbiased and representative estimates.
Data collection
| Start | End |
|---|---|
| 2024-11-16 | 2024-12-13 |
- Computer Assisted Personal Interview [capi]
| Name | Affiliation | Abbreviation |
|---|---|---|
| UN Refugee Agency | UN | UNHCR |
Data Access
UNHCR (2024). Cameroon: Socio-Economic Profiling Survey - 2024. Accessed from: https://microdata.unhcr.org
Contacts
| Name | Affiliation | |
|---|---|---|
| Curation team | UNHCR | microdata@unhcr.org |
Metadata production
DDI_CMR_2024_SEPS_v01_M
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| UN Refugee Agency | UNHCR | UN | Metadata producer |
| Development Data Group | DECDG | World Bank Group | Metadata adapted for World Bank Microdata Library |
2025-11-14
Metadata version
Identical to a metadata (UNHCR_CMR_2024_PROFILING_v2.1) published on UNHCR catalog (https://microdata.unhcr.org/index.php/home). Some of the metadata fields have been edited.