Click here for search results

Site Tools

Country Page: Ethiopia

Country Programs


Sub-Saharan Africa (developing only)


Addis Ababa

Income level

Low income

GDP (current US$)


Population, total


LSMS-ISA: Ethiopia Map

NEW - The data from the 2011-2012 Ethiopia Rural Socioeconomic Survey, the 2013-2014 Ethiopia Socioeconomic Survey and the 2015-2016 Ethiopia Socioeconomic Survey are now available for downloading free of charge.


The LSMS-ISA project is supporting the design and implementation of the Ethiopia Socioeconomic Survey (ERSS) with a focus on the demand for data on household welfare and income-generating activities in Ethiopia, and ensuring comparability with other surveys being carried out under the LSMS-ISA project in Sub-Saharan Africa. The ESS is implemented every two years: the households in the survey were visited in 2011/2012, re-visited in 2013/2014, and then re-visited again in 2015/2016.


The panel survey is implemented by the Central Statistical Agency of Ethiopia (CSA), and is integrated with the annual Agricultural Sample Survey (AgSS). The LSMS team is responsible for the management and technical design of the project, as well as for the provision of technical assistance and the support of analytical work resulting from the collected data.


Sampling and Survey Design

The sample for the ERSS (Wave 1) comprises 4,000 households in rural and small towns areas across Ethiopia. The sample for ESS (Wave 2) was expanded to include 1,500 urban households, for a total sample of 5,500 households.

The ERSS/ESS sample is a two-stage probability sample. The first stage of sampling entailed selecting enumeration areas (ie. the primary sampling units) using simple random sampling (SRS) from the sample of the AgSS enumeration areas (EAs). The AgSS EAs were selected based on probability proportional to size of population (PPS). For the rural sample, 290 EAs were selected from the AgSS EAs. For small town EAs, a total of 43 EAs were selected by PPS. Similarly, for the newly added urban areas, a total of 100 EAs were selected (PPS).

The Wave 1 data is representative at the regional level for the most populous regions: Amhara, Oromiya, SNNP, and Tigray. In Wave 2, in order to correspond with the existing Wave 1 design while ensuring that all urban areas are included, the population frame was stratified to be able to provide population inferences for the same five domains as in Wave 1 plus an additional domain for the city state of Addis Ababa. The sample size, in both waves, is insufficient to support region-specific estimates for each of the small regions including Afar, Benshangul Gumuz, Dire Dawa, Gambella, Harari, and Somalie regions.

Questionnaire Design

The ERSS Wave 1 instruments include the following:

The ESS Wave 2 instruments include the following:

The ESS Wave 3 instruments include the following:


Field Work Implementation

Wave 1, from September 2011 to March 2012, surveyed a subset of Agricultural Sample Survey (AgSS) households as well as new non-farm households, with a computer-assisted interview application on ultra-mobile personal computers. As with the regular AgSS, the data collection is over a period of about 5-9 months depending on the area of the country and the seasons (from post-planting in the long rainy season to the start of the short rainy season). The AgSS is carried out through multiple visits to the households by the resident enumerators. The final visit for the ERSS was done after the crops were harvested in order to get production data.

Fieldwork for Wave 2 began in September 2013 and finished in April 2014.

Fieldwork for Wave 3 began in September 2015 and finished in April 2016.


Data Documentation and Dissemination

All data generated are made publicly available (fully cleaned and with complete documentation) within twelve months of completion of each wave of data collection. The ESS data is disseminated via the Microdata Catalog and the CSA websites.

Last updated: 2017-02-21

Permanent URL for this page:

© 2016 The World Bank Group, All Rights Reserved. Legal