DDI_RWA_2010-2011_EICV-W3_v01_EN_M_v01_A_OCS_FAO Office of the Chief Statistician Juste NITIEMA Geoffrey Greenwell Ruben Muhayiteto <_value> NADA RWA_2010-2011_EICV-W3_v01_EN_M_v01_A_OCS_v01 Integrated Household Living Conditions Survey, Wave 3, 2010-2011. EICV-W3, 2010-2011. RWA_2010-2011_EICV-W3_v01_EN_M_v01_A_OCS National Institute of Statistics of Rwanda (NISR) Oxford Policy Management Geoffrey Greenwell David Megill (c) 2011, NISR NADA Data Portals Management Officer Income/Expenditure/Household Survey [hh/ies] This is the third in a series of periodic standardized income and expenditure surveys. The Rwanda EICV is conducted with a periodicity of 5 years. The surveys in the series are as follows: 1. EICV-W1, 2000-2001. 2. EICV-W2, 2005-2006. 3. EICV-W3, 2010-2011. Consumption/consumer behaviour [1.1] Economic conditions and indicators [1.2] Education [6] General health [8.4] Employment [3.1] Unemployment [3.5] Housing [10.1] Time use [13.9] Migration [14.3] Information technology [16.2] The 2010/11 Integrated Household Living Conditions Survey or EICV3 (Enquête Intégrale sur les Conditions de Vie des Ménages) is the third in the series of surveys which started in 2000/01 and is designed to monitor poverty and living conditions in Rwanda. The survey methodology has changed little over its 10 years, making it ideal for monitoring changes in the country. In 2010/11, for the first time the achieved sample size of 14,308 households in the EICV3 was sufficient to provide estimates which are reliable at the level of the district. Rwanda This is a national survey with representivity at the (5) provicial and (30) district level and includes urban and rural households. Households All household members. Sample survey data [ssd] The scope of survey is defined by the need to evaluate poverty determinants and effects of poverty in various domains. This includes gathering data in specific sectors and examining summary statistics and computed indicators by consumption indicator, gender etc. The survey primarily seeks to compute household consumption aggregates and correlate consumption to the following areas are within the scope and integrated into the survey: - Education (education expenditures): general education, curriculum, vocational training and, higher learning, school-leaving, literacy and apprenticeship. - Health (health expenditures): disability and health problems, general health and preventative vaccination over the past 12 months. - Migration (travel expenditures): rural-urban migration, internal and external migration. - Housing (expenditures on utilities, rent etc.): status of the housing occupancy, services and installations, physical characteristics of the dwelling, access and satisfaction towards basic services. - Economic activity (revenue): unemployment, underemployment and job search, occupation, wage or salaried employment characteristics, VUP Activities, all other activities, domestic work. - Non-agricultural activities (revenue): activity status, formal and informal sector activity. - Agriculture (income and expenditure) : livestock, land and agricultural equipment, details of holding parcels/blocs and agricultural policy changes, crop harvests and use on a large and small scale crop production, harvests and use, transformation (processing) of agricultural products. In addition to the specific sector information, consumption and/or wealth holding information was collected: - Consumption: Expenditure on non-food items, food expenditure, subsistence farming (own consumption) with different recall periods. - Other cash flows : transfers out by household, transfers received by the household, income support programs & other revenues (excluding all incomes accrued from saving), VUP, UBUDEHE & RSSP schemes, other expenditure (excluding expenditures related to any form of saving). - Stock items: credit, durable assets and savings (household assets and liabilities). National Institute of Statistics of Rwanda The EICV3 sampled a total of 14,310 households in 1,230 sample villages. The sample selection methodology for EICV3 was based on a stratified two-stage sample design. At the first sampling stage the sample villages for EICV3 were selected within each stratum (district) systematically with PPS from the ordered list of villages in the sampling frame. The measure of size for each village was based on the total number of households identified in the sampling frame of villages. The villages within each district were ordered first by urban, mixed and rural areas, and then geographically by secteur, cellule and village codes. This provided implicit geographic stratification of the sampling frame for each district, and ensured a proportional allocation of the sample to the urban and rural areas of each district. A listing of households was conducted in each sample village prior to the EICV3 enumeration in order to select the sample households. A systematic sample of 9 households was selected from the listing for each sample village in Kigali Province and 12 households for each sample rural village in the remaining provinces. A reserve sample of 3 replacement households was selected for each sample village in Kigali Province and 4 replacement households for each sample village in the remaining provinces. Two households were dropped due to incomplete data. These were in the urban zone (Kigali). These include Nyraungenge and Kikukiro. These have been adjusted in the weights. Face-to-face paper [f2f] SECTION 1: Information on members of household SECTION 2: Education PART A: General education PART B1: Curriculum PART B2: Vocational training and, higher learning PART C: Leaving school PART D: Literacy and apprenticeship SECTION 3: Health PART A: Disability and health problems during the past 2 weeks PART B: Health and preventative vaccination over the past 12 months SECTION 4: Migrations and domestic trips PART A: Migration PART B: Domestic trips SECTION 5: Housing PART A: Background and status of the housing occupancy PART B: Housing expenses PART C: Services and installations PART D: Physical characteristics of the dwelling PART E: Access and satisfaction towards basic services SECTION 6A: Economic activity in last 12 months & last 7 days PART A: Filter questions and all the occupations you have carried out over the last 12 months. SECTION 6B: Unemployment, underemployment and job search SECTION 6C: Occupation (for members of the household aged 6 years and above who have been employed) SECTION 6D: Waged or salaried employment (farm and non-farm) SECTION 7A: Non-agricultural activities (business) SECTION 7B: Non-agricultural activities (business)) SECTION 8: Agriculture PART A1: Livestock PART A2: Livestock (continued) one cow per poor family policy, animals and pasture PART A3: Livestock (continued) sale of livestock products PART A4: Livestock (continued) expenditure on livestock during the last 12 months PART B: Land and agricultural equipment PART C: Details of holding parcels/blocs and agricultural policy changes PART D: Crop harvests and use on a large scale PART E: Small scale crops - harvests and use. PART F: Other income from agriculture PART G: The cost and expenditure on agricultural activities. PART H: Transformation (processing) of agricultural products. SECTION 9: Household expenditure and subsistence farming PART A: Expenditure on non-food items PART B: Food expenditure PARTC: Subsistence farming SECTION 10: Transfers of incomes, other revenues and expenditures PART A: Transfers made by household (out) PART B: Transfers received by the household (in) PART C: Income support programmes & other revenues PART D: VUP, UBUDEHE & RSSP SCHEMES PART E: Other expenditure (excluding expenditures related to any form of saving) SECTION 11: Credit, durables and savings PART A: Credit PART B: Durable household goods PART C: Savings In order for the sample estimates from the EICV3 to be representative of the population, it is necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample household is equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage). The basic weights were also adjusted to take into account the non-interviews as well as the replacement households in each sample village. Extensive cleaning was carried out on the EICV-W3 data. A detailed report on this process is available at the NISR. Traditionally response rates are high in Rwanda so it is not surprising to have response rates greater than 95%. For computing the response rates, the DHS definition is used: 1. The numerator are the number of households with a completed household interview. 2. The denominator: is the sum of number of households with a completed household interview, households that live in the dwelling but no competent respondent was at home, households with permanently postponed or refused interviews, and households for which the dwelling was not found. 3. Unoccupied or abandoned dwelling are excluded (no household lives in the dwelling, address is not a dwelling, or the dwelling is destroyed). The numerator is: 14,308. To compute the denominator the following are considered: Completed:14,308 HH not found:132 Sick or died:59 Refused: 48 Other: 63* Dropped:2 Total:14,612 Thus, the response rate is computed at 98%. Notes: *Other is included in the denominator despite the uncertainty of the reason. **Excluded from the denominator are 368 homes that were reported abandoned or changed. Dwelling changed (Nyakatasi): 115 Dwelling changed other reason: 253 Sampling errors for key indicators are provided in the Annexes of the EICV3 reports (main indicators report and thematic reports). See https://microdata.statistics.gov.rw/ See https://microdata.statistics.gov.rw/ Section 01 Section 02 Section 03 Section 04 Section 05 Section 06 Section 07 Section 08 Section 09 Section 10 Section 11