Summary: This table is part of the Rwanda Labour Force Survey (LFS) 2025 aggregated schema and presents the distribution of the employed population by status in employment using the ICSE-18 classification, disaggregated by sex. It shows the percentage share of different employment categories for males and females, enabling analysis of gender differences in employment types based on authority and economic risk.
Geographic Coverage: National coverage across Rwanda, with potential breakdowns by urban and rural areas.
Time Period: 2Quarterly data from 2019 Q1 to 2025 Q4.
Frequency: Quarterly.
Population/Units: Individuals aged 16 years and above in the workforce, specifically those employed in agriculture.
Key Variables: Employment status (ICSE-18 classification), sex, number of employed persons, and percentage share by employment category.
Purpose: To support analysis of gender disparities in employment structures and job types, informing policies on labour market inclusion, decent work, and gender equality.
Data Quality Notes: Data are derived from the nationally representative Quarterly Labour Force Survey conducted by the National Institute of Statistics of Rwanda (NISR). Estimates are weighted and reflect employment status at the time of the survey, with potential sampling variability.
","databaseName":"datasharing_platform","schemaDescription":"Summary: This schema contains aggregated data from Rwanda’s Quarterly Labour Force Survey (LFS) covering the period from 2019 to 2025. It provides a continuous and high-frequency view of labour market dynamics, capturing trends in employment, unemployment, and labour underutilization among the working-age population. The dataset compiles quarterly survey results into a unified structure to enable longitudinal analysis of workforce patterns over time.
Geographic Coverage: National coverage across Rwanda, with disaggregation by districts, provinces, and area of residence (urban and rural).
Time Period: 2019–2025, based on quarterly data collection rounds conducted throughout each year.
Frequency: Quarterly (four rounds per year), aggregated for longitudinal analysis.
Population/Units: Individuals aged 16 years and above living in private households in Rwanda.
Key Variables: Employment status, unemployment rate, labour force participation rate, underutilization indicators (LU1–LU4), NEET rate, median earnings, occupation, industry (economic activity), and status in employment (ICLS-93 and ICSE-18 classifications), with breakdowns by sex, age, education level, and residence.
Purpose: To support labour market monitoring, employment policy design, workforce planning, and evaluation of national development strategies through consistent and internationally comparable labour statistics.
Data Quality Notes: Data are derived from nationally representative quarterly household surveys using standardized methodologies. Aggregated indicators are subject to sampling and non-sampling errors, and estimates may vary across subpopulations and time periods.
","ownerName":"Norbert","ownerEmail":"norbert.habimana@statistics.gov.rw","tags":null,"customTags":["Aggregated data"],"datasetType":"TABLE","datasetFileId":null,"queryDefinition":null,"periodBegin":"2025-01-01","periodEnd":"2025-12-31","createdAt":"2026-03-19T13:40:13.841Z","updatedAt":"2026-08-14T20:20:45.432Z","columns":[{"id":"a8851ed6-810d-4a10-9d28-4e91cfa8d659","columnName":"sex","description":"Sex category: \"All\", \"Male\", \"Female\"","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"52532cfb-d07d-4b9b-8d2d-a388588a0180","columnName":"year","description":"Survey year (2025)","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"9abb422f-ce8b-464c-8d96-b4d4420a55f8","columnName":"quarter","description":"Survey quarter (Q1, Q2, Q3, Q4)","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"d5293a25-54fb-4689-86e0-759bb9a96abf","columnName":"1_employers","description":"Share of employed who are employers (%)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"f31a14f3-eee8-445b-89b3-741fc9179795","columnName":"2_independent_worker_without_employees","description":"Share of employed who are independent workers without employees (%)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"d78ff704-334c-44e9-8f4b-c4005fb03788","columnName":"3_dependent_contractors","description":"Share of employed who are dependent contractors (%)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"66ec90b9-5f25-43ab-9675-70c8eefb4cc7","columnName":"4_employees","description":"Share of employed who are employees (%)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"482a19d4-5ce2-4226-9935-6bbfee93e998","columnName":"5_contributing_family_workers","description":"Share of employed who are contributing family workers (%)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"},{"id":"01cb0951-d8e4-474b-8e54-6d9c43f83ecf","columnName":"employed_population_aged_16+","description":"Total employed population aged 16 and above (absolute number)","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:34.637Z","updatedAt":"2026-07-09T22:22:34.637Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":15,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1786784116632}