Rural Socioeconomic Survey 2011-2012
Ethiopia, 2011 - 2012
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Reference ID
ETH_2011_ERSS_v02_M
Producer(s)
Central Statistical Agency, Living Standards Measurement Study Team
Metadata
Created on
Sep 05, 2014
Last modified
Jan 30, 2020
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Identification
Survey ID Number
ETH_2011_ERSS_v02_M
Title
Rural Socioeconomic Survey 2011-2012
Country/Economy
| Name | Country code |
|---|---|
| Ethiopia | ETH |
Study type
Socio-Economic/Monitoring Survey [hh/sems]
Series Information
Ethiopian Rural Socioeconomic Survey 2011 (ERSS) is designed to collect panel data in rural and small town areas on a range of household and community level characteristics linked to agricultural activities. The first wave was implemented in 2011-12 and the second wave is planned for the 2013-14. ERSS is integrated with the CSA's Annual Agricultural Sample Survey (AgSS). The ERSS rural sample is a sub-sample of the AgSS.
Abstract
The Ethiopian Rural Socioeconomic Survey (ERSS) is a collaborative project between the Central Statistics Agency of Ethiopia (CSA) and the World Bank Living Standards Measurement Study- Integrated Surveys on Agriculture (LSMS-ISA) team. The objective of the LSMS-ISA is to collect multi-topic panel household level data with a special focus on improving agriculture statistics and the link between agriculture and other sectors of the economy. The project also aims to build capacity, share knowledge across countries, and improve survey methodologies and technology.
The specific objectives of the ERSS are:
- Development of an innovative model for collecting agricultural data in conjunction with household data;
- Strengthening the capacity to generate a sustainable system for producing accurate and timely information on agricultural households in Ethiopia;
- Development of a model of inter-institutional collaboration between the CSA and relevant federal and local government agencies as well as national and international research and development partners; and
- Comprehensive analysis of household income, well-being, and socio-economic characteristics of households in rural areas and small towns.
The specific objectives of the ERSS are:
- Development of an innovative model for collecting agricultural data in conjunction with household data;
- Strengthening the capacity to generate a sustainable system for producing accurate and timely information on agricultural households in Ethiopia;
- Development of a model of inter-institutional collaboration between the CSA and relevant federal and local government agencies as well as national and international research and development partners; and
- Comprehensive analysis of household income, well-being, and socio-economic characteristics of households in rural areas and small towns.
Unit of Analysis
- Household
- Person/ individual
- Community
- Person/ individual
- Community
Scope
Notes
The 2011/12 Rthiopian Rural Socioeconomic Survey covered the following topics:
HOUSEHOLD LEVEL
- Identification particulars (geographic area identification and household id)
- Household roster
- Education
- Health
- Time use and labour
- Food last 7 days
- Food aggregate
- Non-food expenditure (last month and last 12 months)
- Food security
- Shocks
- Housing
- Assets
- Non-farm enterprise
- Other income
- Assistance
- Credit
AGRICULTURE (Post planting)
- Identification particulars (geographic area identification and household id)
- Household roster
- Parcel roster (list of all parcels)
- Field roster
- Crop field roster
- Seeds roster
- Miscellaneous questions for the holder
AGRICULTURE (Post harvest)
- Identification particulars (geographic area identification and household id)
- Household roster
- Crop harvest (exclude tree/root crops)
- Harvest hired labour
- Crop disposition (exclude tree/root crops)
- Trees/ fruit/ root crops
AGRICULTURE (Livestock)
- Identification particulars (geographic area identification and household id)
- Livestock population and products
- Livestock feeds utilized during the last 12 months
- Livestock by-products during the last 12 months
COMMUNITY LEVEL
- Identification particulars (geographic area identification)
- Roster of informants
- Basic information
- Access to basic services
- Economic activities
- Agriculture
- Changes
- Community needs and actions
- Productive safety nets and programme
- Market prices (1st and 2nd locations)
HOUSEHOLD LEVEL
- Identification particulars (geographic area identification and household id)
- Household roster
- Education
- Health
- Time use and labour
- Food last 7 days
- Food aggregate
- Non-food expenditure (last month and last 12 months)
- Food security
- Shocks
- Housing
- Assets
- Non-farm enterprise
- Other income
- Assistance
- Credit
AGRICULTURE (Post planting)
- Identification particulars (geographic area identification and household id)
- Household roster
- Parcel roster (list of all parcels)
- Field roster
- Crop field roster
- Seeds roster
- Miscellaneous questions for the holder
AGRICULTURE (Post harvest)
- Identification particulars (geographic area identification and household id)
- Household roster
- Crop harvest (exclude tree/root crops)
- Harvest hired labour
- Crop disposition (exclude tree/root crops)
- Trees/ fruit/ root crops
AGRICULTURE (Livestock)
- Identification particulars (geographic area identification and household id)
- Livestock population and products
- Livestock feeds utilized during the last 12 months
- Livestock by-products during the last 12 months
COMMUNITY LEVEL
- Identification particulars (geographic area identification)
- Roster of informants
- Basic information
- Access to basic services
- Economic activities
- Agriculture
- Changes
- Community needs and actions
- Productive safety nets and programme
- Market prices (1st and 2nd locations)
Coverage
Geographic Coverage
Rural and small towns
Geographic Unit
Region
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Central Statistical Agency | Ministry of Finance and Economic Development |
| Living Standards Measurement Study Team | The World Bank |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The World Bank | WBG | Funded the study |
Sampling
Sampling Procedure
The ERSS sample is designed to be representative of rural and small town areas of Ethiopia. The ERSS rural sample is a sub-sample of the AgSS while the small town sample comes from the universe of small town EAs. The ERSS sample size provides estimates at the national level for rural and small town households. At the regional level, it provides estimates for four regions including Amhara, Oromiya, SNNP, and Tigray.
The sample is a two-stage probability sample. The first stage of sampling entailed selecting primary sampling units , which are a sample of the CSA enumeration areas (EAs). For the rural sample, 290 EAs were selected from the AgSS EAs. The AgSS EAs were selected based on probability proportional to size of the total EAs in each region. For small town EAs, a total of 43 EAs were selected. In order to ensure sufficient sample in the most populous regions (Amhara, Oromiya, SNNP, and Tigray), quotas were set for the number of EAs in each region. The sample is not representative for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions. However, estimates can be produced for a combination of all smaller regions as one "other region" category.
The second stage of sampling was the selection of households to be interviewed in each EA. For rural EAs, a total of 12 households are sampled in each EA. Of these, 10 households were randomly selected from the sample of 30 AgSS households. The AgSS households are households which are involved in farming or livestock activities. Another 2 households were randomly selected from all other households in the rural EA (those not involved in agriculture or livestock). In some EAs, there is only one or no such households, in which case, less than two non-agricultural households were surveyed and more agricultural households were interviewed instead so that the total number of households per EA remains the same.
In the small town EAs, 12 households are selected randomly from the listing of each EA, with no stratification as to whether the household is engaged in agriculture/livestock. Households were not selected using replacement. Thus, the final number of household interviewed was slightly less than the 3,996 as planned in the design.
The sample is a two-stage probability sample. The first stage of sampling entailed selecting primary sampling units , which are a sample of the CSA enumeration areas (EAs). For the rural sample, 290 EAs were selected from the AgSS EAs. The AgSS EAs were selected based on probability proportional to size of the total EAs in each region. For small town EAs, a total of 43 EAs were selected. In order to ensure sufficient sample in the most populous regions (Amhara, Oromiya, SNNP, and Tigray), quotas were set for the number of EAs in each region. The sample is not representative for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions. However, estimates can be produced for a combination of all smaller regions as one "other region" category.
The second stage of sampling was the selection of households to be interviewed in each EA. For rural EAs, a total of 12 households are sampled in each EA. Of these, 10 households were randomly selected from the sample of 30 AgSS households. The AgSS households are households which are involved in farming or livestock activities. Another 2 households were randomly selected from all other households in the rural EA (those not involved in agriculture or livestock). In some EAs, there is only one or no such households, in which case, less than two non-agricultural households were surveyed and more agricultural households were interviewed instead so that the total number of households per EA remains the same.
In the small town EAs, 12 households are selected randomly from the listing of each EA, with no stratification as to whether the household is engaged in agriculture/livestock. Households were not selected using replacement. Thus, the final number of household interviewed was slightly less than the 3,996 as planned in the design.
Response Rate
A total of 3,969 households were interviewed with a response rate of 99.3 percent.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2011-09 | 2011-10 | First round |
| 2011-11 | 2011-12 | Second round |
| 2012-01 | 2012-03 | Third round |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Field staff training took place in July and August 2011 and in January 2012. The July/August 2011 training sessions covered content training on the agriculture questionnaires while the January 2012 training focused on household and community questionnaires.
Data collection began in September 2011 and the three rounds of field work followed the AgSS field schedule. The first round took place between September and October 2011when the post-planting agriculture questionnaire was administered. The second round took place between November and December 2011 when the livestock questionnaire was administered. The third round took place from January through March 2012 when the household, community and post-harvest agriculture questionnaires were administered.
Data collection began in September 2011 and the three rounds of field work followed the AgSS field schedule. The first round took place between September and October 2011when the post-planting agriculture questionnaire was administered. The second round took place between November and December 2011 when the livestock questionnaire was administered. The third round took place from January through March 2012 when the household, community and post-harvest agriculture questionnaires were administered.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Central Statistical Agency | CSA | Ministry of Finance and Economic Development |
Questionnaires
Questionnaires
The survey was administered using five questionnaires: household, community, post-planting agriculture, ost-harvest agriculture and livestock questionnaires.
The household questionnaire collects information on basic demographics; education; health (including anthropometric measurement for children); labor and time use; partial food and non-food expenditure; household nonfarm income-generating activities; food security and shocks; safety nets; housing conditions; assets; credit; and other sources of household income. The household questionnaire, when relevant, is comparable to the Welfare Monitoring Survey (WMS).
The community questionnaire gathered information on access to infrastructure; community organizations; resource management; changes in the community; key events; community needs, actions and achievements; and local retail price information.
Post-planting and post-harvest agriculture questionnaires were completed in those households with at least one member of the household engaged in crop farming using owned or rented land The post-planting and post-harvest agriculture questionnaires focused on farming activities and solicit information on land ownership and use; farm labor; inputs use; GPS land area measurement and coordinates of household fields; agriculture capital; irrigation; and crop harvest and utilization.
The livestock questionnaire interviews were implemented in households where at least one member was engaged in livestock rearing. The livestock questionnaire collected information on animal holdings and costs; and production, cost and sales of livestock byproducts.
The household questionnaire collects information on basic demographics; education; health (including anthropometric measurement for children); labor and time use; partial food and non-food expenditure; household nonfarm income-generating activities; food security and shocks; safety nets; housing conditions; assets; credit; and other sources of household income. The household questionnaire, when relevant, is comparable to the Welfare Monitoring Survey (WMS).
The community questionnaire gathered information on access to infrastructure; community organizations; resource management; changes in the community; key events; community needs, actions and achievements; and local retail price information.
Post-planting and post-harvest agriculture questionnaires were completed in those households with at least one member of the household engaged in crop farming using owned or rented land The post-planting and post-harvest agriculture questionnaires focused on farming activities and solicit information on land ownership and use; farm labor; inputs use; GPS land area measurement and coordinates of household fields; agriculture capital; irrigation; and crop harvest and utilization.
The livestock questionnaire interviews were implemented in households where at least one member was engaged in livestock rearing. The livestock questionnaire collected information on animal holdings and costs; and production, cost and sales of livestock byproducts.
Data Processing
Data Editing
Most of the interviews were carried out using paper and pen interviewing method. The completed paper questionnaires were sent to the CSA headquarters in Addis Ababa. The questionnaires were first checked by editors for completeness and consistency. The editors checked completeness (taking inventory) and cross-checked the questionnaires with the EA codebook. Questionnaires with inconsistent responses or with errors were corrected by contacting the branch offices or, in some cases, by sending the questionnaires back to the field. Checked questionnaires were keyed by data entry clerks at the head office using CSPro data entry application software.
Computer assisted personal interviewing (CAPI) was implemented, as a pilot, in 33 of the 333 EAs using SurveyBe data collection software.
The data cleaning process was done in two stages. The first step was at the CSA head office using the CSA's data cleaning staff. The CSA data cleaning staff used the CSpro data cleaning application to capture out of range values, outliers, and skip inconsistencies from the batch error reports. Once the errors were flagged in the batch error report the hard copy of the original questionnaire was retrieved and checked if the errors were at the data collection, editing, or entry level. Editing and entry level errors were corrected at the head office. Field level errors were communicated with the branch offices in the regions. The second level of data cleaning was done using Stata program to check for inconsistencies.
Computer assisted personal interviewing (CAPI) was implemented, as a pilot, in 33 of the 333 EAs using SurveyBe data collection software.
The data cleaning process was done in two stages. The first step was at the CSA head office using the CSA's data cleaning staff. The CSA data cleaning staff used the CSpro data cleaning application to capture out of range values, outliers, and skip inconsistencies from the batch error reports. Once the errors were flagged in the batch error report the hard copy of the original questionnaire was retrieved and checked if the errors were at the data collection, editing, or entry level. Editing and entry level errors were corrected at the head office. Field level errors were communicated with the branch offices in the regions. The second level of data cleaning was done using Stata program to check for inconsistencies.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org | Link |
Access conditions
To use the data from the ERSS 2011-12, the Ethiopia Central Statistical Agency (CSA) asks that you fill in a Data User Agreement. This agreement allows the CSA to know who is using their data and the types of studies being done by users.
By filling out this form, you not only comply with the agreements reached by all parties in implementing the survey, but also help us to keep you informed about any additional information related to the Ethiopia ERSS 2011-12.
The form states, among other things, that downloading the data obligates you to cite the source of the data and to send copies of papers to the Ethiopia Central Statistical Agency and the LSMS Division of the World Bank. Once you have submitted the form, you will be sent to a page containing links to the data files. If your browser doesn't support forms (or fails to forward you to the data page upon completing the form), contact LSMS <mailto:lsms@worldbank.org> and you will receive instructions on how to progress to the page with the data files.
By filling out this form, you not only comply with the agreements reached by all parties in implementing the survey, but also help us to keep you informed about any additional information related to the Ethiopia ERSS 2011-12.
The form states, among other things, that downloading the data obligates you to cite the source of the data and to send copies of papers to the Ethiopia Central Statistical Agency and the LSMS Division of the World Bank. Once you have submitted the form, you will be sent to a page containing links to the data files. If your browser doesn't support forms (or fails to forward you to the data page upon completing the form), contact LSMS <mailto:lsms@worldbank.org> and you will receive instructions on how to progress to the page with the data files.
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
- 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
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| LSMS Data Manager | The World Bank | lsms@worldbank.org | Link |
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_ETH_2011_ERSS_v01_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | The World Bank | Metadata preparation |
Date of Metadata Production
2014-09-02
DDI Document version
Version 01 (September 2014)