RWA_2008_VUP-BL_v01_M
Vision 2020 Umurenge Program - Baseline Survey 2008
Name | Country code |
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Rwanda | RWA |
Other Household Survey [hh/oth]
Round 1
The immediate objective of Vision 2020 Umurenge Program (VUP) is poverty reduction, with an ultimate goal of achieving economic and social development in the long run. VUP is basically a social security program targeting poor households with a variety of financial and social developmental assistance.
Sample survey data [ssd]
Households
V 01: Basic raw data, obtained from data entry (before editing).
2008-12
National coverage
Sector level
Sample households survey
Name | Affiliation |
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National Institute of Statistics of Rwanda | MINECOFIN |
Name | Affiliation | Role |
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Ministry of Local Governance | Government of Rwanda | Guidance and supervision |
Name | Role |
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Ministry of Local Governance | Financial assistance |
National Institrute of Statistics of Rwanda | Technical assistance |
Name | Affiliation |
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Christophe BAZIVAMO | Ministry of Local Government |
NISR staff members | National Institute of Statistics of Rwanda |
At the national level, we have a two-stage stratified non-self weighted of equal size for both “Intervention” and “Control” groups. For each of the two study groups the sample size has been determined as of 1200 households. The determination of the sample size was guided by the previous experience of EICV surveys in which the smallest sample size for an analysis domain was found to be in the vicinity of 500 households. In addition, due to time and resource constraints it would be difficult to implement a sample of a bigger size. The original sampling scheme is described subsequently; nonetheless there has been some deviation from the initial design as explained in due course.
The designed sample is 120 households in each selected sector whether intervention or control. Due to some non-respondent cases the implemented sample is somewhat less than the designed one. Non-response occurred primarily for different causes such as “failure to locate the sample household in the field”; households are “Not-at home” during data collection period. “Refusals” were found to be inexistent.
A designed sample of 1200 households in which the implemented sample was 1175 households, which gives the response rate of 97.9 %.
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). Since all survey data has been processed by computer, it was easy to attach a weight to each sample household record in the computer files, and the tabulation programs can weight the data automatically. The sampling probabilities at each stage of selection were maintained in an Excel spreadsheet so that the overall probability and corresponding weight were calculated for each sample sector. For more details refer to Annex B of the report found in the External Resources.
The measurement of poverty indicators entails measuring consumption of food and nonfood items. For this reason a methodology similar to that of living condition surveys has been followed. In this regards a set of three questionnaires has been designed utilizing the same questionnaires applied in the latest Living Condition Survey carried out in 2005/2006 (EICV2). Nonetheless, necessary modification has been introduced on the EICV2 questionnaires in compliance with the survey objectives. The contents of the household questionnaires are outlined as follows:
In addition to basic information (age, sex, and relationship to the head of household) it includes data items on educational status; school enrolment and drop-out; marital status; disability; labor force participation; employment status; economic activity,number of working days in the last week, month and year for those reported working in the week preceding the interview, last month and year for those reported working in the preceding month but not in the preceding week, and last year for those reported working in the preceding year but not in the preceding month; and daily wages
The consumption questionnaire is designed to capture the consumption elements and composition following COICOP classification of goods and services.
This questionnaire has been completed in the last visit to the household. Income data were collected for each income recipient previously identified in the household schedule.
Start | End |
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2008-12-13 | 2008-12-24 |
Name | Affiliation |
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National Institute of Statistics of Rwanda | Ministry of Economic Planning and Finance |
A total of 40 teams of 4 interviewers, 1 Team Leader and 1 driver were responsible for data collection. The field work was supervised by 10 field supervisors, each in charge of 2 data collection teams.The Survey Coordinator followed up the progress of the field work through continuous telephone communication with the Coordinator Assistants, and sometimes with the Supervisors.
Data editing took place at National Institute of Statistics of Rwanda in the specialized Unit of Management and Information Systems (MIS).
The NISR was heavily engaged in verifying the data entry for VUP Baseline Survey and it started in the last week of January and ended early in February, 2008.
The data cleaning, table generation and verification, extraction of poverty indices, and calculation of sampling errors has continued for about three months;that is up to May, 2008.
The most common survey estimates to be calculated from the VUP Baseline Survey are in the form of totals and ratios. The sampling errors are estimated using ultimate cluster method.
National Institute of Statistics of Rwanda
National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/24
Cost: None
Name | Affiliation | URL | |
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National Institute of Statistics of Rwanda | MINECOFIN | www.statistics.gov.rw | info@statistics.gov.rw |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | No confidentiality |
Public use files, accessible to all
The use of this dataset must be acknowledged using a citation which would include:
Example:
The National Institute of Statistics of Rwanda. Rwanda, Vision 2020 Umurenge Program Baseline Survey (VUP) 2008, Ref. RWA_2008_VUP-BL_v01_M. Dataset downloaded from [url] on [date].
(c) 2012, National Institute of Statistics of Rwanda
Name | Affiliation | |
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Director General | National Institute of Statistics of Rwanda | info@statistics.gov.rw |
DDI_RWA_2008_VUP-BL_v01_M
Name | Affiliation | Role |
---|---|---|
National Institute of Statistics of Rwanda | Government of Rwanda | Documentation study |
2012-05
Version 2 (September 2020). Edited version based on the original version (DDI-RWA-NISR-VUP-2008-v01) that was produced by the National Institute of Statistics of Rwanda.
Version 0.1