Summary: This microdata table contains information on transformation of agricultural products 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.
Geographic Coverage: 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.
Time Period: 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.
Frequency: 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.
Population/Units: Household members
Key Variables: Any agricultural product processed, Codes of products transformed, Unit of time for the transformation, Quantity transformed, Labour cost in cash or kind
Purpose: 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.
Data Quality Notes: 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.
For more information on the EICV5 VUP Sample Survey including further details on methodology, please see the collection-level description.
","databaseName":"datasharing_platform","schemaDescription":"Summary: 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.
Geographic Coverage: 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.
Time Period: 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.
Frequency: 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.
Population/Units: Household members
Key Variables: EICV4 Household ID, EICV4 Personal ID, Cluser, EICV4 Province name, EICV4 District name
Purpose: 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.
Data Quality Notes: 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.
","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":"2026-04-02T13:41:45.824Z","updatedAt":"2026-08-25T07:26:12.232Z","columns":[{"id":"de07af72-2912-47b4-862c-d9df70b902dc","columnName":"s7hq3a","description":"Unit of time for the transformation","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"951aa005-a8bb-4bd3-9bf8-3e52497ca3b8","columnName":"s7hq4","description":"Labour cost in cash or kind","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"e31dc63a-530f-4c90-bc94-dc0e8f237c51","columnName":"s7hq5a","description":"Source of supply of goods for transformation_Own production_","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"d5886255-a1db-4627-99c0-ae27ad7a66cd","columnName":"s7hq5b","description":"Source of supply of goods for transformation_Purchases_","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"7a0982e5-445d-4bfd-a346-15b771bbc737","columnName":"s7hq5c","description":"Source of supply of goods for transformation_Gifts_","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"852965a8-3b11-4dc6-aefe-4c8355eabb5d","columnName":"s7hq5d","description":"Source of supply of goods for transformation_Other_","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"e161b6a6-9140-4ea6-8f67-d13042bfd665","columnName":"s7hq6","description":"Other production costs","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"b25c5e60-af46-44fc-94e8-9a6a315172ed","columnName":"s7hq7","description":"Any sold","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"7612e8c4-c80f-46e9-b151-61e01008f939","columnName":"s7hq8a","description":"Unit of time for quantity sold","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"35eef919-3a5d-4181-a484-c6b2eb6e21a0","columnName":"s7hq8b","description":"Quantity Sold","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"386c1afc-0d86-4008-972b-6bb3e6c37219","columnName":"s7hq9a","description":"Unit of time for quantity sold","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"fbcbc46f-4360-439a-9bf3-fe367516ceb5","columnName":"s7hq9b","description":"Amount Sold","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"84022247-a502-42ed-ab1e-35e57e2ae535","columnName":"s0q18m","description":"Month of interview","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"679e7e0f-06ee-48a6-9bdf-04ceaaada147","columnName":"s0q18y","description":"Year of interview","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"d25f8a9e-a881-4544-bebf-fd101c7bf541","columnName":"id","description":"Row ID
","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"655db9a2-ca0f-4dc5-b6fa-7eb0a0c91e15","columnName":"key_17","description":"EICV5 Household unique ID","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"ed11e81a-60a3-4c48-891b-23514f843b90","columnName":"hhid","description":"Household ID in EICV4","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"a6c5441f-bf23-48a6-a38b-4fb909ca33eb","columnName":"clust","description":"Cluster","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"6518c6e2-8a2b-474b-b68a-f3c3bafeafdf","columnName":"province","description":"Numeric code (1–5) representing the administrative province of Rwanda where the survey respondent is located. 1 = Kigali City, 2 = Southern Province, 3 = Western Province, 4 = Northern Province, 5 = Eastern Province.
","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"5b3a1db7-6419-4a4a-8470-7ff5925df2e3","columnName":"district","description":"District Numeric code (11–57) representing the respondent's district in Rwanda. The first digit corresponds to the province (1-5), and the second digit identifies the district within that province.
11 = Nyarugenge, 12 = Gasabo, 13 = Kicukiro, 21 = Nyanza, 22 = Gisagara, 23 = Nyaruguru, 24 = Huye, 25 = Nyamagabe, 26 = Ruhango, 27 = Muhanga, 28 = Kamonyi, 31 = Karongi, 32 = Rutsiro, 33 = Rubavu, 34 = Nyabihu, 35 = Ngororero, 36 = Rusizi, 37 = Nyamasheke, 41 = Rulindo, 42 = Gakenke, 43 = Musanze, 44 = Burera, 45 = Gicumbi, 51 = Rwamagana, 52 = Nyagatare, 53 = Gatsibo, 54 = Kayonza, 55 = Kirehe, 56 = Ngoma, 57 = Bugesera.
","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"60acc1f6-c1ea-485c-bc6e-8fb1fbb15284","columnName":"ur","description":"Urban/Rural","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"a14b9307-d347-4204-b45a-75b2d7391d17","columnName":"weight","description":"Household weight","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"9aa7a810-aaba-4036-813a-c067a032119a","columnName":"s7hq1","description":"Any agricultural product processed","dataType":"BIGINT","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"2d2d819b-6c2e-49f2-b546-99ffe3ff2a1e","columnName":"s7hq2","description":"Codes of products transformed","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"},{"id":"9c16d7a5-f032-4807-b70b-9a4bb7e7e523","columnName":"s7hq3b","description":"Quantity transformed","dataType":"DOUBLE","tags":null,"createdAt":"2026-07-09T22:22:27.058Z","updatedAt":"2026-08-22T00:00:29.143Z"}],"organization":{"id":"8998f38d-c75b-4861-9a0c-5ed451f7c88b","name":"NISR","infoEmail":null},"downloadCount":11,"downloadFormats":[{"format":"csv","label":"CSV"},{"format":"json","label":"JSON"},{"format":"xlsx","label":"Excel"}]},"timestamp":1787643078868}