ETH_2014_AgSS_v01_M
Agricultural Sample Survey 2013-2014 (2006 E.C)
Name | Country code |
---|---|
Ethiopia | ETH |
Agricultural Survey [ag/oth]
Agricultural sector is the main economic sector of Ethiopia. To monitor and evaluate this sector, Agricultural Sample Survey (AgSS) has been conducted every year by CSA. The general objective of the AgSS is to collect basic quantitative information on the country's agricultural land that is essential for planning, policy formulation, and food security. The AgSS is composed of four components: Crop Production Forecast, “Meher” Season, “Belg” Season and Livestock Survey.
The specific objectives:
• “Meher” season (Land Utilization): to estimate the total cultivated area and other forms of land use
• “Belg” season: to generate basic quantitative information on crop cultivated area, production and yield of major crops, and the use of different farm management practices
Sample survey data [ssd]
Agricultural household/ Holder/ Crop
The scope of annual Agricultural Sample Survey included:
The annual Agricultural Sample Survey covered the entire rural parts of the country except the non-sedentary population of three zones of Afar and six zones of Somali regions
The survey covered agricultural households in the sample selected regions.
Name | Affiliation |
---|---|
Central Statistical Agency (CSA) | Ministry of Finance and Economic Development |
Name | Role |
---|---|
Government of Ethiopia | Funding the study |
The list of Enumeration Areas (EAs) was obtained from the 1999 Population and Housing Census. From the list of the EAs, a set of sampled EAs were selected based on the sample design proposed for the survey. Once the selection of the sampled EAs was accomplished, a fresh list of households within each selected EA was carried out. The list of agricultural households in each EA was used as a sampling frame from which the agricultural households were finally selected as sources of data.
A stratified two-stage cluster sample design was implemented. Enumeration areas were the primary sampling units (PSUs) whereas the agricultural households were the Secondary Sampling Units (SSUs). The sample size for the 2013/14 agricultural sample survey was determined by considering both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. Except for Harari, and Dire Dawa, each region was taken to be the domain of estimation. Each zone of the regions / special "woredas" was adopted as a stratum for which major findings of the survey were reported.
Enumeration areas from each stratum were selected systematically using a probability proportional to size sampling technique; size being the number of agricultural households. From the fresh list of households prepared at the beginning of the survey, 20 agricultural households within each sampled EA were selected systematically.
The 2013-14 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. The following forms were used to collect the survey data:
Start | End |
---|---|
2014 | 2014 |
Name | Affiliation |
---|---|
Central Statistical Agency of Ethiopia | Ministry of Finance and Economic Development |
Field staff training was carried out in two stages. The first stage training provided for 6 days targeted staff from the Head Office, statisticians and senior field supervisors from Branch Statistical Offices. The staff that took part in the first stage training was then assigned to conduct similar training (second stage) for the enumerators and other supervisors for 20 days in all the twenty- five Branch Statistical Offices distributed across the country.
In the second stage training, field staffs were given detailed classroom instruction on how to collect data, method of area measurement, interviewing procedures, etc. The training also included field practice to reinforce the understanding of concepts, definitions and theories discussed in the classroom with regard to field measurement, crop cutting, GPS reading and interviewing methods.
Statistical data editing plays a key role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field. Coding and editing were done by the enumerators and supervisors in the field and final verification of these task was done at the Head Office.
The completed questionnaires were edited, coded and later verified on a 100% basis before the questionnaires were passed over to the data entry unit.
The data entry application was developed using CSPro software and the data entry task was done at the branch and head office.
Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are provided in the final reports
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.
Name | Affiliation | URL | |
---|---|---|---|
Data Administrator | Central Statistical Agency | data@csa.gov.et | http://www.csa.gov.et |