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Ethiopian Annual Agricultural Sample Survey Methodology and Experience By Habekiristos Beyene Agriculture, Natural Resource and Environmental Statistics.

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Presentation on theme: "Ethiopian Annual Agricultural Sample Survey Methodology and Experience By Habekiristos Beyene Agriculture, Natural Resource and Environmental Statistics."— Presentation transcript:

1 Ethiopian Annual Agricultural Sample Survey Methodology and Experience By Habekiristos Beyene Agriculture, Natural Resource and Environmental Statistics Directorate Addis Ababa, August, 2012 CENTRAL STATISTICAL AGENCY

2 Contents 1.Introduction 2.Initiation of Annual Agricultural Sample Surveys 3.Modules of the Annual Agricultural Sample Survey 4.Contents of the Survey 5.Area and Sector Coverage 6.Sample Design and Sample Size 6.1 Sample Selection 7.Field Organization 8.Training Of Field Staff 9.Method Of Data Collection 10.Dissemination of the Survey Results 11.List of statistical Bulletins Generated from the Annual Agri. Sample Survey 12.Implementation of Global Strategy in Ethiopia

3 1. Introduction Ethiopia is a country with agrarian economy, where Agriculture is the dominant sector of the countrys Economy, as a matter of this fact, The sector contributes (Nearly 45%) to the countrys GDP It employs 82% of the countrys total population, who solely depends on agriculture for their livelihood It is the main source Of the domestic food supply and Raw materials for domestic Agro-Industries

4 Why do we need continues, comprehensive, reliable and timely supply of quantitative information? Because statistical information with regard to agriculture are indispensable input To evaluate and monitor the performance of the sector itself To formulate promotional agricultural policy and programs To design, plan and execute developmental agricultural projects, To monitor and evaluate the ongoing agricultural projects and programs and …etc

5 2. Initiation of Annual Agricultural Sample Surveys (AGSS) Three decades earlier, statistical information regarding the agricultural sector were rarely available in Ethiopia, Due to limitation of both coverage and methodology used the information generated during those days were inadequate and unreliable. In addressing the problems mentioned, in 1980 Integrated System of Food and Agricultural Statistics (ISFAS) the UNDP/FAO project, was initiated in Ethiopia.

6 Thus, from 1980 on wards Ethiopia/CSA has been conducting the agricultural sample survey on annual bases. Here it should be noted that in addition to conducting the annual agricultural sample surveys, the country had performed the first ever agricultural sample enumeration in 2001/02 Since then every three and/or four years the CSA used to improve the content, coverage and methodologies of the annual agricultural sample surveys.

7 1. Main (Meher) season Pre-harvest Crop Production Forecast Sample Survey 2. Main (Meher) season Post-harvest agricultural Sample survey 3. Livestock and poultry Sample Survey 4. Belg(Minor) Season Crop production Sample Survey 5. Large and Medium Scale Commercial Farms Sample Survey 3. Modules of the Annual Agricultural Sample Survey (AGSS)

8 4. Contents of the Survey The range of data items includes Area and production of both temporary and permanent crops, Land use i.e. total cropland area, fallow land, grazing land, forest land and …etc,. Agricultural practices, such as use various inputs Number of livestock and poultry by type, purpose, age and sex It should be noted that all the above mentioned data items are first identified in consultation with all data users and concerned stakeholders

9 The Annual Agricultural Sample Survey covered The entire rural parts of the country except the non-sedentary population of Pastoral areas Both private peasant and large and medium scale commercial farms agricultural holdings including Co-operatives 5. Area and Sector Coverage

10 A stratified two-stage cluster sample design was implemented, where, Enumeration areas (EAs) were taken to be the primary sampling units (PSUs) and the secondary sampling units (SSUs) were agricultural households. The sample size is determined by taking into account of both the required level of precision for the most important estimates within each domain and the amount of resources allocated to the survey. All the regions of the country which are eleven in number were taken to be the domain of estimation for which major findings of the survey are reported. 6. Sample Design and Sample Size

11 6.1 Sample Selection First Stage sample selection of EAs was done by probability proportional to size (PPS). Size is the total number of households compiled from the 2007 (1999 E.C.) population and housing census. Second Stage sample (household) selection was done by systematic random sampling. Currently 30 agricultural Households were sampled from each EA selected to be covered by the survey

12 7. Field Organization Through its 25 Branch offices the CSA has put in place a comprehensive field organization to follow up and monitor the survey field work. Currently, one supervisor is assigned to closely supervise and follow up the work of enumerators Annually, field enumerators, are recruited, trained and assigned in the sampled EAs by each of the respective Branch Offices. All the technical personnel, heads of the 25 Branch Offices as well as field supervisors and enumerators were fully involved.

13 8. Training Of Field Staff The quality of data acquired from the survey highly depend on the type of training given, The CSA provides theoretical and practical training at various stages to its field staff The content of the training focuses on detailed classroom instruction on the purpose, terminology, concepts and definitions used in the survey undertaking followed by field practices.

14 9. Method Of Data Collection The CSA adopted both subjective and objective method of data collection in its annual agricultural sample surveys. a) Agricultural data collected using objective method are:- Land area under Crop, Crop Yield through conducting Crop cutting experiment from 2 mts x 2 mts plot of land, Land Utilization (Area under different land use).

15 b) Data collected through interview method are:- Demographic characterstics of the sampled agricultural households Data on agricultural inputs such as use fertilizers, local and improved seeds, use of pesticides, herbicides, and use of irrigation, Quantity and Cost of agricultural inputs Livestock, poultry and beehives enumeration and their products by type.

16 10. Dissemination of the Survey Results The results of the Annual Agricultural Sample Survey are disseminated to ultimate users through 1.Hard copy:- The CSA distribute the Hard copies to the concerned stakeholders, made few copies available at the library for free use and put enough copies at CSA store for sale. 2.CD:-Softcopy of the survey results are also made available on CDs to ultimate users 3.Web Site:- Softcopy of the survey results are also released for free use through the CSA web site.

17 11. List of statistical Bulletins Generated from the Annual Agri. Sample Survey Sr. No Name of The Bulletin Frequency 1 Report on Area and Crop Production Forecast Forecast Every Year 2 Report on Post- harvest Estimates of Area and Production of Major Crops (Main Season) >> 3 Report on Post- harvest FarmManagewment ppractices of Private holdings (Main Season) >> 4 Report on Post- harvest Estimates of Area and Production of Belg Season Crops (Belg Season) >> 5 Report on Post- harvest Belg Season Farm Management practices of Private holdings (Belg Season) >> 6 Report on Land use for private Holdings>> 7 Report on Area and production of Crops and Farm Management Practices For Large and Medium Scale Farms (Both Seasons) >> 8 Report on Livestock and Livstock Characterstics Private holdings >> 9 Report on Crop and Livestock Products Utilization for Private holdins >>

18 12. Implementation of Global Strategy in Ethiopia Ethiopia is expected to participate and contribute a lot in various researches that will be carried out with others in the area of : Methodological guide lines Producing handbooks through, Documentation of good practices in priority research topics

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