{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"3cc9cd6f-4a86-48cb-90f2-7ad126a8bf97","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"EICV5_Cross-Sectional Sample","tableName":"eicv5_s9d_other_income","displayName":"EICV5: Other income","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary: </strong>This microdata table contains information on income not covered by other tables, collected in the fifth Integrated Household Living Conditions Survey, known as EICV5 (Enquête Intégrale sur les Conditions de Vie des ménages). A main cross-sectional sample survey, a panel survey and a VUP (Vision Umurenge Programme) sample survey were conducted simultaneously; this microdata table relates to the cross-sectional sample survey.</p><p><strong>Geographic Coverage: </strong>National coverage (Rwanda), including rural and urban households and allowing province- and district-level estimation of key indicators. Data are disaggregated up to the district level.</p><p><strong>Time Period: </strong>The EICV5 survey was conducted over a 12-month cycle from October 2016 to October 2017. Data collection was divided into 10 cycles in order to represent seasonality in the income and consumption data.</p><p><strong>Frequency:</strong> The EICV5 took place three years after the EICV4 was conducted (October 2013-October 2014); prior to EICV4, the survey was conducted every five years, with the first survey (EICV1) conducted in 2000/01.</p><p><strong>Population/Units: </strong>Household members</p><p><strong>Key Variables: </strong>Income support source, Household received any of the following in the last 12 months, Amount received during the last 4 weeks, Amount received during the last 12 months</p><p><strong>Purpose: </strong>EICV5 aims to provide timely and updated statistics to facilitate monitoring progress on poverty reduction programmes and evaluation of different policies as stipulated in the First National Strategy for Transformation (NST1), the 2030 Sustainable Development Goals (SDGs) as well as the Vision 2020 and Vision 2050. The survey data are also very important for national accounts and updating the consumer price index (CPI).</p><p><strong>Data Quality Notes:</strong> The response rate for EICV5 (cross-sectional) is 100%. All households sampled (14,580) were interviewed with no refusal.</p><p>For more information on the EICV5 Cross-Sectional Survey including further details on methodology, please see the collection-level description.</p>","databaseName":"datasharing_platform","schemaDescription":"<p><strong>Summary: </strong>The EICV5 survey (Enquête Intégrale sur les Conditions de Vie des ménages) was conducted over a 12-month cycle from October 2016 to October 2017. Data collection was divided into 10 cycles in order to represent seasonality in the income and consumption data. A main cross-sectional sample survey, a panel survey and a VUP sample survey were conducted simultaneously. These tables relate to the cross-sectional sample survey.</p><p><strong>Geographic Coverage: </strong>National coverage (Rwanda), including rural and urban households and allowing province- and district-level estimation of key indicators. Data are disaggregated up to the district level.</p><p><strong>Time Period: </strong>The EICV5 survey was conducted over a 12-month cycle from October 2016 to October 2017. 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All households sampled (14,580) were interviewed with no refusal.</p>","ownerName":"Norbert","ownerEmail":"norbert.habimana@statistics.gov.rw","tags":null,"customTags":["Microdata"],"datasetType":"TABLE","datasetFileId":null,"queryDefinition":null,"periodBegin":"2016-10-13","periodEnd":"2017-10-22","createdAt":"2026-03-26T14:18:59.918Z","updatedAt":"2026-07-24T03:10:05.974Z","columns":[{"id":"5f9a5d87-d496-4260-8271-a3434f79c818","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"f08450cd-28f8-4c58-b704-4422564bd852","columnName":"hhid","description":"Household id","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"bc214290-5917-45f3-99fe-7ab3e0b97611","columnName":"clust","description":"Cluster","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"39838e69-0449-4b48-986a-cf88b67d6bc7","columnName":"province","description":"Province","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"8b467c3d-3780-41e3-85cc-19d4a398dbc6","columnName":"district","description":"District Name","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"61ed7686-5bb9-40ef-a267-8b44e6f3ab22","columnName":"ur","description":"Urban/Rural","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"faad7b3a-2df2-4772-8456-29f3d6f2b99c","columnName":"region","description":"Region","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"bdd2ec5b-8773-425a-9671-4bb6d509ca63","columnName":"weight","description":"Household weight","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"5de3a303-9c3b-4f89-8660-7454d9759b8c","columnName":"poverty","description":"Welfare categories","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"3c14cec3-ea8e-488c-bc5e-227978fa1cc0","columnName":"quintile","description":"Quintile","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"ee3ef904-df64-4f6a-89ea-20e3f66a7fb3","columnName":"s9dq0","description":"Income support source","dataType":"TEXT","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"be5bc85c-6d8b-4463-bf8a-3c5ad4801b79","columnName":"s9dq1","description":"Household received any of the following in the last 12 months","dataType":"BOOLEAN","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"80e53139-1c53-43bf-865c-6068e52f6c96","columnName":"s9dq2","description":"Amount received during the last 4 weeks","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"},{"id":"cac9540c-f310-4a53-b3c3-c665896d85a7","columnName":"s9dq3","description":"Amount reived during the last 12 months","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.215Z","updatedAt":"2026-07-09T22:22:25.215Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":16,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1785698791820}