{"success":true,"message":"Dataset retrieved successfully","payload":{"id":"bb00b59e-edc1-4cff-9775-e86d639904bc","organizationDataSourceId":"4782664b-0c74-4bcd-bffd-6c5dd1d8db5d","schemaName":"EICV5_VUP","tableName":"eicv5_vup_s10a1_credits","displayName":"EICV5 (VUP): Credits","classification":"PUBLIC","isPublished":true,"description":"<p><strong>Summary: </strong>This microdata table contains information on credits 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>Household member tried to obtain a loan, Reason why loan was denied, Household members owe money</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":"2026-04-02T13:41:44.098Z","updatedAt":"2026-08-05T21:15:10.197Z","columns":[{"id":"84856948-c3bc-4f50-bef8-5dfacf780e6d","columnName":"id","description":"<p>Row ID</p>","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"c48d091f-04ef-44d9-8792-2cd2da14abbb","columnName":"key_17","description":"EICV5 Household unique ID","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"0594fe50-d4b7-4e11-98b9-b2f665798606","columnName":"hhid","description":"Household ID in EICV4","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"2e5632b7-df34-4cea-a04c-4b8b06a8768e","columnName":"clust","description":"Cluster","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"050dbead-00e5-49b0-8f86-3de1b50f6338","columnName":"province","description":"Province","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"b86a0260-9df4-4eeb-8818-2035460c5157","columnName":"district","description":"District Name","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"bab904ac-70db-4f8e-93f9-a6b4006d4c1a","columnName":"ur","description":"Urban/Rural","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"48c9819f-d011-4c39-89fc-3bfbed138ffc","columnName":"weight","description":"Household weight","dataType":"NUMERIC","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"d4895a18-4f1c-4f55-98e3-ad6620a8c266","columnName":"s10aq1","description":"Household member tried to obtain a loan","dataType":"BOOLEAN","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"d403e6f4-dbdf-46d3-ac87-b9617d31876d","columnName":"s10aq2","description":"Reason why loan was denied","dataType":"VARCHAR","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"43ad5f6d-8d69-4f49-9d47-690d7b60af4e","columnName":"s10aq3","description":"Household members owe money","dataType":"BOOLEAN","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"cf32000f-122b-4dce-889d-07621da5f3b7","columnName":"s0q18m","description":"Month of interview","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"},{"id":"0125e8e5-5895-431b-9973-747df8ca2131","columnName":"s0q18y","description":"Year of interview","dataType":"INT","tags":null,"createdAt":"2026-07-09T22:22:25.651Z","updatedAt":"2026-07-09T22:22:25.651Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":6,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1786384600728}