{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"b0f1feef-e3ba-4e78-9e64-3763edff413b","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"Rwanda Labour Force Survey","tableName":"labour_force_2025","displayName":"Labour Force Survey 2025","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary:</strong> This dataset contains annual labour force statistics for Rwanda, compiled from the 2025 Labour Force Survey conducted across four quarters (February, May, August, and November 2025) by the National Institute of Statistics of Rwanda. Data were collected using Computer-Assisted Personal Interviews (CAPI) through face-to-face interviews in selected households. The survey covers key labour market indicators including employment status, unemployment, labour force participation, income from employment, migrant workers, and persons with disabilities. The reference population includes individuals aged 16 years and above living in private households in Rwanda.</p><p><strong>Geographic Coverage:</strong> National coverage across Rwanda, with key labour indicators disaggregated at national, district, and residential area levels.</p><p><strong>Time Period:</strong> 2025, covering four survey rounds conducted in February, May, August, and November 2025.</p><p><strong>Frequency:</strong> Quarterly (four data collection rounds per year, aggregated into an annual dataset).</p><p><strong>Population/Units:</strong> Individuals aged 16 years and above living in private households in Rwanda. Institutional populations (e.g., hostels, health facilities, correctional institutions) and persons living in seasonal dwellings or work sites are excluded.</p><p><strong>Key Variables:</strong> Employment status, unemployment status, labour force participation, time-related underemployment, job characteristics (main and secondary employment), past employment, own-use production, subsistence production, income from employment, and household characteristics.</p><p><strong>Purpose:</strong> The dataset is designed to provide official labour market statistics for monitoring employment trends, labour force participation, and socio-economic conditions in Rwanda to support national planning and policy formulation.</p><p><strong>Data Quality Notes:</strong> A key aspect of the 2025 RLFS is its robust sampling methodology, which was significantly enhanced by leveraging data from the 2022 National Population and Housing Census. The sampling design followed a two-stage stratified cluster approach, which improved both the precision and reliability of the estimates.</p>","databaseName":"datasharing_platform","schemaDescription":"<p><strong>Summary:</strong> The Labour Force Survey (LFS) programme conducted by the National Institute of Statistics of Rwanda provides official labour market statistics for Rwanda. The survey measures employment, unemployment, labour force participation, underemployment, and other work-related characteristics. It supports national planning and monitoring of NST2, SDGs, and Vision 2050. The programme started in 2016, was bi-annual until 2018, and became quarterly from 2019 onwards.</p><p><strong>Geographic Coverage:</strong> National coverage across Rwanda, with indicators disaggregated by district and residential area (depending on the year).</p><p><strong>Time Period:</strong> 2017–2024, covering bi-annual rounds (2017–2018) and quarterly rounds (2019–2024).</p><p><strong>Frequency:</strong> Bi-annual (2017–2018), Quarterly (2019–2024), with annual estimates produced from combined rounds.</p><p><strong>Population/Units:</strong> Individuals aged 16+ living in private households in Rwanda. Institutional populations and persons in seasonal or work-site dwellings are excluded.</p><p><strong>Key Variables:</strong> Employment status, unemployment, labour force participation, underemployment, job characteristics, hours worked, income from employment, own-use production, and household characteristics.</p><p><strong>Purpose:</strong> To provide reliable labour statistics for policy formulation, monitoring labour market trends, and supporting national development planning.</p><p><strong>Data Quality Notes:</strong> The LFS uses a two-stage stratified sampling design with weighting and calibration to population projections. Data are collected using CAPI, with generally high response rates. Methodological changes occurred during the transition to quarterly surveys.</p>","ownerName":"Norbert","ownerEmail":"norbert.habimana@statistics.gov.rw","tags":null,"customTags":["Microdata"],"datasetType":"TABLE","datasetFileId":null,"queryDefinition":null,"periodBegin":"2025-02-01","periodEnd":"2025-11-30","createdAt":"2026-04-21T13:40:46.362Z","updatedAt":"2026-08-13T14:06:45.736Z","columns":[{"id":"0a46b11b-a144-4ab7-8aa0-7162fde0b4f8","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:37.955Z","updatedAt":"2026-07-09T22:22:37.955Z"},{"id":"9fbda5b6-96c9-4906-b601-e95c0e048b5d","columnName":"psu_no","description":"Primary Sampling Unit","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:37.955Z","updatedAt":"2026-07-09T22:22:37.955Z"},{"id":"e50ccec7-3b74-4885-9d19-7e491b614e9c","columnName":"qh_no","description":"QUESTIONNAIRE  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