{"doc_desc":{"idno":"UNHCR_CMR_2024_PROFILING_v2.1","title":"Socio_Economic_Profiling_Survey___2024","prod_date":"2025-11-14","producers":[{"name":"UNHCR"}]},"study_desc":{"title_statement":{"idno":"UNHCR_CMR_2024_PROFILING_v2.1","title":"Socio-Economic Profiling Survey - 2024"},"authoring_entity":[{"name":"UNHCR"},{"name":"JIPS"},{"name":"GIZ"}],"distribution_statement":{"contact":[{"name":"Curation team","affiliation":"UNHCR","email":"microdata@unhcr.org"}]},"version_statement":{"version":"v2.1: Edited, cleaned and anonymised data."},"study_info":{"abstract":"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.","analysis_unit":"Household and individual","data_kind":"sample survey data[ssd]","notes":"The scope includes:\n- demographics\n- living conditions\n- livelihoods\n- housing\n- social cohesion\n- intentions\n","nation":[{"name":"Cameroon","abbreviation":"CMR"}],"topics":[{"topic":"Health"},{"topic":"Livelihood and Social cohesion"},{"topic":"Health and Nutrition"},{"topic":"Food security"},{"topic":"Protection"},{"topic":"Education"},{"topic":"Basic Needs"}],"coll_dates":[{"start":"2024-11-16","end":"2024-12-13"}]},"method":{"data_collection":{"sampling_procedure":"The survey used a stratified two-stage cluster sampling design covering five municipalities. The sampling frame was based on BUCREP\u2019s 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.\nIn 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.\nFor 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.","coll_mode":["Computer Assisted Personal Interview [capi]"],"weight":"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\u2019s 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_collectors":[{"name":"UNHCR"}]}},"data_access":{"dataset_use":{"cit_req":"UNHCR (2024). Cameroon: Socio-Economic Profiling Survey - 2024. Accessed from: https:\/\/microdata.unhcr.org"}}},"schematype":"survey"}