{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"508bb71a-7447-4615-82b9-1d571d9d4910","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"Labour Force Survey Aggregated","tableName":"economic_activity_by_sex","displayName":"Economic Activity by Sex","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary: </strong>This table is part of the Rwanda Labour Force Survey (LFS) 2025 aggregated schema, which compiles quarterly labour market data from 2019 to 2025 to provide a continuous and longitudinal view of workforce dynamics. It presents the distribution of the employed population by economic activity (industry sector) and sex. The table shows percentage shares of employment across sectors for males and females based on the ISIC Rev.4 classification, enabling analysis of gender differences in sectoral employment over time.</p><p><strong>Geographic Coverage: </strong>National coverage across Rwanda.</p><p><strong>Time Period: </strong>Quarterly data from 2019 Q1 to 2025 Q4.</p><p><strong>Frequency: </strong>Quarterly</p><p><strong>Population/Units: </strong>Employed persons aged 16 years and above.</p><p><strong>Key Variables: </strong>Economic activity (ISIC Rev.4), sex, number of employed persons, and percentage share of employment by sector.</p><p><strong>Purpose: </strong>To support analysis of gender disparities across economic sectors and inform policies on labour market inclusion, gender equality, and economic transformation.</p><p><strong>Data Quality Notes: </strong>Data are derived from nationally representative Quarterly Labour Force Surveys conducted by the National Institute of Statistics of Rwanda (NISR). Estimates are weighted and subject to sampling variability, reflecting employment conditions at the time of each survey round.</p>","databaseName":"datasharing_platform","schemaDescription":"<p><strong>Summary:</strong> 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.</p><p><strong>Geographic Coverage:</strong> National coverage across Rwanda, with disaggregation by districts, provinces, and area of residence (urban and rural).</p><p><strong>Time Period:</strong> 2019–2025, based on quarterly data collection rounds conducted throughout each year.</p><p><strong>Frequency:</strong> Quarterly (four rounds per year), aggregated for longitudinal analysis.</p><p><strong>Population/Units:</strong> Individuals aged 16 years and above living in private households in Rwanda.</p><p><strong>Key Variables:</strong> 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.</p><p><strong>Purpose:</strong> To support labour market monitoring, employment policy design, workforce planning, and evaluation of national development strategies through consistent and internationally comparable labour statistics.</p><p><strong>Data Quality Notes:</strong> 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.</p>","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":"2026-03-19T13:40:13.575Z","updatedAt":"2026-07-21T18:01:36.878Z","columns":[{"id":"0ef873bd-424d-4d42-a45a-884e23f7ea6b","columnName":"sex","description":"Sex category: \"All\", \"Male\", \"Female\"","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:34.448Z","updatedAt":"2026-07-09T22:22:34.448Z"},{"id":"e9f953ba-9cc4-4fad-9cf0-ffb1024d6385","columnName":"year","description":"Survey year (2019 to 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