Integrated Household Living Conditions Survey 2005
Rwanda, 2005
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Apr 25, 2019
Last modified
Apr 25, 2019
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Identification
Survey ID Number
RWA_2005_EICV-II_v01_M
Title
Integrated Household Living Conditions Survey 2005
Translated Title
Enquête Intégrale sur les Conditions de Vie des Ménages 2005
Country
| Name | Country code |
|---|---|
| Rwanda | RWA |
Study type
Integrated Survey (non-LSMS) [hh/is]
Series Information
The Rwanda EICV is a standardized income and expenditure survey with a periodicity of 5 years. The surveys in the series are as follows:
EICV I 2000-2001
EICV II 2005
EICV III 2010-2011
EICV I 2000-2001
EICV II 2005
EICV III 2010-2011
Abstract
The 2005 Integrated Household Living Conditions Survey, or Enquête Intégrale sur les Conditions de Vie des Ménages (EICV-II) in French, is the second in the series of surveys designed to monitor poverty and living conditions in Rwanda. The objectives of the study are to provide information on poverty and living conditions in Rwanda and to monitor changes over time as part of the ongoing monitoring of the Poverty Reduction Strategy and other Government policies. The results of EICV-II will be compared with the results of EICV-I in 2001 and the content of the questionnaire will be broadly similar to that of the previous survey. In addition the survey will provide data on household income and expenditures which can be used for updating the weights and market basket for the Consumer Price Index (CPI) and components of the national accounts. Survey data on agricultural activities have also proved to be important for national accounts and will complement information provided by future agricultural and rural sector surveys.
The geographic domains of analysis for EICV-II will be Kigali-Ville, other urban and rural strata at the national level, as well as each of the 11 provinces. Given that Rwanda is predominantly rural, the rural stratum of each province will also be a domain of analysis. In order to provide survey results that are comparable to those of EICV-I, the sample design and survey methodology for EICV-I will be consistent with those for the previous survey.
The geographic domains of analysis for EICV-II will be Kigali-Ville, other urban and rural strata at the national level, as well as each of the 11 provinces. Given that Rwanda is predominantly rural, the rural stratum of each province will also be a domain of analysis. In order to provide survey results that are comparable to those of EICV-I, the sample design and survey methodology for EICV-I will be consistent with those for the previous survey.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Communities
- Individuals
- Communities
Scope
Notes
The scope of the survey includes:
HOUSEHOLD
- Household Identification Particulars
- Household Demographic Characteristic/ Household Roster
- Education
- Health
- Migration
- Housing
- Occupation and Employment
- Agriculture
- Household Consumption and Expenditure
- Transfers of Revenue, Income, and Miscellaneous Expenses
- Credit, Durable Goods and Savings
COMMUNITY
- Demographic Information
- Economy, Infrastructure and Environment
- Education
- Health
- Agricultural Services
- Community Development
HOUSEHOLD
- Household Identification Particulars
- Household Demographic Characteristic/ Household Roster
- Education
- Health
- Migration
- Housing
- Occupation and Employment
- Agriculture
- Household Consumption and Expenditure
- Transfers of Revenue, Income, and Miscellaneous Expenses
- Credit, Durable Goods and Savings
COMMUNITY
- Demographic Information
- Economy, Infrastructure and Environment
- Education
- Health
- Agricultural Services
- Community Development
Coverage
Geographic Coverage
National
Universe
The universe for EICV 2005 includes the households and population living in individual households within all urban and rural areas of Rwanda. The population living in institutions and group quarters such as hospitals, military bases and prisons, are excluded from the sampling frame.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Direction de la Statistique (DS) | Ministry of Finance and Economic Planning |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Department for International Development | DFID | Technical and financial support |
Sampling
Sampling Procedure
The sampling frame for the EICV-I was based on the data and cartographic materials from the 1991 Rwanda Census of Population and Housing, while the EICV-II was based on the 2002 Rwanda Census frame. There were significant changes in the areas considered urban between the two censuses, but these geographic changes are taken into account in the comparative analysis between the EICV-II and EICV-II data.
A stratified two-stage sample design was used for both the EICV-I and EICV-II. The primary sampling units (PSUs) were the enumeration areas or zones de dénombrement (ZDs) defined for the census. The sample of ZDs in each stratum was selected with probability proportional to size, where the measure of size was based on the number of households from the census frame. A new listing of households was conducted in each ZD, and a sample of households was selected at the second sampling stage.
Note: Detailed description of sample design is found in the technical document "Rwanda 2005 ECIV-II sampling and weighting".
A stratified two-stage sample design was used for both the EICV-I and EICV-II. The primary sampling units (PSUs) were the enumeration areas or zones de dénombrement (ZDs) defined for the census. The sample of ZDs in each stratum was selected with probability proportional to size, where the measure of size was based on the number of households from the census frame. A new listing of households was conducted in each ZD, and a sample of households was selected at the second sampling stage.
Note: Detailed description of sample design is found in the technical document "Rwanda 2005 ECIV-II sampling and weighting".
Deviations from the Sample Design
Household that was not interviewed as per the original listing and selection was replaced with a reserve household. Each EA had 4 households on reserve. A total of 522 households were replaced over the course of the survey. In addition, several EAs were swapped from their scheduled cyclic visit due to seasonal accessability problems.
Response Rate
Out of the 6900 household sample, 92.4% responded. All 7.6% of households that were not interviewed were replaced.
Weighting
In order for the estimates from each survey to be representative at the national level, it is necessary to apply sampling weights to the survey data. The weights for the sample households were calculated as the inverse of the overall probability of selection, taking into account each sampling stage. Given the nature of the sample design and the new listing of households, the weights vary by sample ZD. An Excel spreadsheet with all the sampling frame information for the sample ZDs was used for calculating the weights, which were then attached to the corresponding records in the survey data files.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2005-01 | 2005-12 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Data Collection Methodology in Urban and Rural Areas
The data collection procedures for EICV 2005 will be similar to those for the previous survey, described in Dr. Scott’s report. This methodology was effective for EICV 2000-2001 and will improve the comparability between the results of the two surveys.
Each sample urban ZD will be enumerated by one enumerator during a cycle of 33 days. The sample urban ZDs will be divided into 10 cycles throughout the year. The 9 sample households in each ZD will be divided into 3 groups of 3 households each. The enumerator will visit one group of 3 sample households each day, the next group of 3 households will be visited the following day, etc. This sequence will be repeated so that each household is interviewed every third day. This 33-day cycle in the urban ZDs will ensure that the payday is covered for salaried employees.
In the case of the rural stratum, a team of four enumerators and supervisors will be assigned to each province. The year will be divided into 10 data collection cycles of 32 days each, and 4 sample rural ZDs will be enumerated within each province during one cycle . The cycles will be further subdivided into two periods of 16 days each for the data collection in each sample rural ZD. The sample rural ZDs will be paired each cycle so that a group of two enumerators can be assigned to each sample ZD. The 12 sample households in each rural ZD will be divided into two groups of 6 households each, corresponding to the workload of one rural enumerator during the 16 day period. Each enumerator will visit a group of 3 sample households every other day.
Distribution of Sample ZDs by Data Collection Cycle within the Year
In order for the EICV 2005 to represent seasonality in the household income and expenditure data, it is important to have a sample that is representative across space and time throughout the 12-month data collection period. Ideally, a nationally-representative sample of ZDs should be enumerated each cycle. Sometimes it may be necessary to adjust the set of sample ZDs to be enumerated each cycle to take into account logistical considerations, weather conditions, etc. In the case of EICV 2000-2001, the distribution of the sample segments over time appears to have been mostly determined by operational considerations, which affected the geographic representativeness of the sample each cycle. This can result in a potential bias when there are geographic differences in seasonality.
For EICV 2005 it is recommended to select a representative subsample of ZDs to be assigned to each cycle for data collection. Therefore the 620 sample ZDs can assigned cycle codes from 1 to 10 systematically. In this way a nationally-representative sample of 62 sample ZDs (10 in Kigali-Ville, 8 other urban and 44 rural) can be assigned to each cycle. Then adjustments can be made to these cycle assignments based on logistical considerations, weather conditions, etc. Given the greater dispersion of a nationally-representative subsample of ZDs each cycle, this may increase the cost of the field operations slightly, but this investment will improve the seasonal representativeness of the EICV 2005 sample. In the case of the other urban stratum, the sample ZDs in each town should be spread evenly across the four quarters of the survey year as much as possible.
The data collection procedures for EICV 2005 will be similar to those for the previous survey, described in Dr. Scott’s report. This methodology was effective for EICV 2000-2001 and will improve the comparability between the results of the two surveys.
Each sample urban ZD will be enumerated by one enumerator during a cycle of 33 days. The sample urban ZDs will be divided into 10 cycles throughout the year. The 9 sample households in each ZD will be divided into 3 groups of 3 households each. The enumerator will visit one group of 3 sample households each day, the next group of 3 households will be visited the following day, etc. This sequence will be repeated so that each household is interviewed every third day. This 33-day cycle in the urban ZDs will ensure that the payday is covered for salaried employees.
In the case of the rural stratum, a team of four enumerators and supervisors will be assigned to each province. The year will be divided into 10 data collection cycles of 32 days each, and 4 sample rural ZDs will be enumerated within each province during one cycle . The cycles will be further subdivided into two periods of 16 days each for the data collection in each sample rural ZD. The sample rural ZDs will be paired each cycle so that a group of two enumerators can be assigned to each sample ZD. The 12 sample households in each rural ZD will be divided into two groups of 6 households each, corresponding to the workload of one rural enumerator during the 16 day period. Each enumerator will visit a group of 3 sample households every other day.
Distribution of Sample ZDs by Data Collection Cycle within the Year
In order for the EICV 2005 to represent seasonality in the household income and expenditure data, it is important to have a sample that is representative across space and time throughout the 12-month data collection period. Ideally, a nationally-representative sample of ZDs should be enumerated each cycle. Sometimes it may be necessary to adjust the set of sample ZDs to be enumerated each cycle to take into account logistical considerations, weather conditions, etc. In the case of EICV 2000-2001, the distribution of the sample segments over time appears to have been mostly determined by operational considerations, which affected the geographic representativeness of the sample each cycle. This can result in a potential bias when there are geographic differences in seasonality.
For EICV 2005 it is recommended to select a representative subsample of ZDs to be assigned to each cycle for data collection. Therefore the 620 sample ZDs can assigned cycle codes from 1 to 10 systematically. In this way a nationally-representative sample of 62 sample ZDs (10 in Kigali-Ville, 8 other urban and 44 rural) can be assigned to each cycle. Then adjustments can be made to these cycle assignments based on logistical considerations, weather conditions, etc. Given the greater dispersion of a nationally-representative subsample of ZDs each cycle, this may increase the cost of the field operations slightly, but this investment will improve the seasonal representativeness of the EICV 2005 sample. In the case of the other urban stratum, the sample ZDs in each town should be spread evenly across the four quarters of the survey year as much as possible.
Data Processing
Data Editing
Detailed data entry, cleaning and data processing information is available in "EICV2 Final Data Processing Report" report.
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda | Ministry of Finance and Economics Planning | info@statistics.gov.rw | www.statistics.gov.rw |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| National Institute of Statistics of Rwanda (NISR) | Ministry of Finance and Economics Planning | info@statistics.gov.rw | http://www.statistics.gov.rw/ |
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
National Institute of Statistics of Rwanda. Rwanda Integrated Household Living Conditions Survey (EICV-II) 2005. Ref. RWA_2005_EICV-II_v01_M. Dataset downloaded from http://www.measuredhs.com on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
National Institute of Statistics of Rwanda. Rwanda Integrated Household Living Conditions Survey (EICV-II) 2005. Ref. RWA_2005_EICV-II_v01_M. Dataset downloaded from http://www.measuredhs.com on [date].
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_RWA_2005_EICV-II_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2012-04-24
DDI Document version
Version 01: (April 2012)