{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"6bf18d60-0905-4671-a782-ecdd67d1bb2c","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"EICV5_VUP","tableName":"eicv5_vup_s7a3_livestock","displayName":"EICV5 (VUP): Livestock (3)","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary: </strong>This microdata table contains information on livestock 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 VUP 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>Product codes, Sold in the last 12 months, Number of months sold in last 12 months, Sold in the last four weeks, Quantity sold in the last four weeks</p><p><strong>Purpose: </strong>The main objective of the EICV5 VUP Panel Survey is to provide longitudinal data for a nationally-representative panel of households that received VUP benefits at the time of the EICV4, in order to obtain reliable estimates of trends in the socioeconomic indicators for these households.</p><p><strong>Data Quality Notes:</strong> Following the EICV5 data collection it was found that 175 of these households could not be interviewed because of a death or move outside the country. Therefore the final number of eligible EICV5 VUP panel sample households was 1,642, including 324 households from split.</p><p>For more information on the EICV5 VUP Sample 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 (Vision Umurenge Programme) panel survey were conducted simultaneously. These tables relate to the VUP panel 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>EICV4 Household ID, EICV4 Personal ID, Cluser, EICV4 Province name, EICV4 District name</p><p><strong>Purpose: </strong>The main objective of the EICV5 VUP Panel Survey is to provide longitudinal data for a nationally-representative panel of households that received VUP benefits at the time of the EICV4, in order to obtain reliable estimates of trends in the socioeconomic indicators for these households.</p><p><strong>Data Quality Notes:</strong> Following the EICV5 data collection it was found that 175 of these households could not be interviewed because of a death or move outside the country. Therefore the final number of eligible EICV5 VUP panel sample households was 1,642, including 324 households from split.</p><p></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":"2026-04-02T13:41:44.995Z","updatedAt":"2026-08-18T04:56:30.178Z","columns":[{"id":"e5d82c3d-8fd3-49f0-ade4-ba5e61f5c573","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"f06758cf-a05a-47f6-af72-589b5d940379","columnName":"key_17","description":"EICV5 Household unique ID","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"87fc393c-a1ec-46d8-8ff9-66d3fe381053","columnName":"hhid","description":"Household ID in EICV4","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"760c6da4-07a7-4e78-9ecf-4f0d754eb457","columnName":"clust","description":"Cluster","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"b09e9cdc-ec9b-450c-8ca4-35ed8d53ee3c","columnName":"province","description":"Province","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"cbeca903-9e50-4ff8-bc5c-07bff95a943e","columnName":"district","description":"District Name","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"0053a659-fdfc-4435-a1cc-7bdbefaa575e","columnName":"ur","description":"Urban/Rural","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"ebe2ec26-0c82-4702-ab91-cb728caf2765","columnName":"weight","description":"Household weight","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"87268bac-e88a-4c3f-ba38-4d7392fd93b4","columnName":"s7a3q1","description":"Product codes","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"18033bf1-3d61-46c0-871a-f9b404ce9057","columnName":"s7a3q2","description":"Sold in the last 12 months","dataType":"BOOLEAN","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"d2e8572f-7125-492e-9f6c-9252a4b0c667","columnName":"s7a3q3","description":"Number of months sold in last 12 months","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"dd4d1cc0-718f-4e16-8257-21e0c7c4dd17","columnName":"s7a3q4","description":"Sold in the last four weeks","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"171a3c14-3f28-4dd0-8074-fadc74d528bd","columnName":"s7a3q5a","description":"Quantity sold in the last four weeks","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"3cb86476-1b8f-4205-b9ed-ecfd19f31149","columnName":"s7a3q5b","description":"Unit of measure","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"eef10517-7eb6-4e7d-a8ad-caffe9e1275b","columnName":"s7a3q6","description":"Total amount received from the sale in the last 4 weeks","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"61bd321c-0e29-46c9-a5e7-06272a8d1019","columnName":"s7a3q7","description":"How much on average sold per month","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"75c0521d-91d6-4976-925e-56b1a39aa8a5","columnName":"s0q18m","description":"Month of interview","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"},{"id":"c2311203-b200-4993-9100-e62f338655e4","columnName":"s0q18y","description":"Year of interview","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:26.412Z","updatedAt":"2026-07-09T22:22:26.412Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":14,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1787029383441}