DDI_ETH_2005_AgSSB_v01_M Central Statistical Agency International Household Survey Network Accelerated Data Program 2009-05-18 NADA Version 02 (October 2013). Edited version based on Version 1.1 (December 2010) DDI (DDI_ETH_2005_ASSBS_v1.1_M) that was done by Central Statistical Agency, Ethiopia and reviewed by Accelerated Data Program, International Household Survey Network. Agricultural Sample Survey, Belg Season 2005-2006 (1998 E.C) AgSSB 2005-06 ETH_2005_AgSSB_v01_M Central Statistical Agency NADA Government of Ethiopia Data Administrator World Bank Microdata Library Agricultural Survey [ag/oth] The Central Statistical Authority (CSA) has been conducting Agricultural Sample Surveys on annual basis since 1980-1981 (1973 E.C.) to produce some of the statistical data that can be used in planning and policy making activities. The survey was interrupted in 1992-1993 (1985 E.C.) and 1993-1994 (1986 E.C.) because during these two years the CSA was fully engaged in undertaking the preparatory activities for the 1994 Population and Housing Census. However, after, undertaking the 1994 Population and Housing Census, the annual agricultural survey was resumed in 1994-1995 (1987 E.C.), and also conducted for the year 1995-1996 (1988 E.C.). It has since been conducted in 1996-1997, 1997-1998, 1998-1999, 1999-2000, 2000-2001, 2003-2004, and 2004-2005. v1.1: Edited and non anonymized dataset, for internal use only. Agriculture Food Crops Land Agriculture & Rural Development Food (production, crisis) Land (policy, resource management) For the past three decades, the Central Statistical Agency (CSA) has been conducting the agricultural sample survey under which four integrated sample surveys designed for the collection of agricultural information on the performances of the sector on an annual basis. Hence, through conducting these surveys, CSA has been disseminating the results obtained from these surveys to ultimate users annually. The 2005-2006 (1998 E.C) Belg Season Crop Production Sample Survey is among the four integrated sample surveys launched on annual basis under the umbrella of the agricultural sample survey all over the country. The objectives of the 2005-2006 (1998 E.C) Belg Season Crop Production Sample Survey is to produce basic quantitative information on cropland area, production and yield of major Belg season crops, as well as to provide quantitative information on the extent and use of different farm management practices on Belg season crops such as fertilized crop land area and quantity of fertilizer used by crop and fertilizer type, irrigated crop land area under improved seed, pesticide treated cropland area, etc. Ethiopia The 2005-2006 (1998 E.C) annual Agricultural Sample Survey (Belg Season) covered the entire rural parts of the country except all zones of Gambella Region, and the non sedentary population of three zones of Afar & six zones of Somali regions. Accordingly the survey took into account of all parts of Harari, Addis Ababa and Dire Dawa, and 58 Additional Zones / Special Weredas (that are treated as zones) of other regions Household, holder, crop Agricultural households from the sampled area Sample survey data [ssd] The scope of annual Agricultural Sample Survey, Belg Season includes: - Area identification and characteristics of agricultural holder's. - Assessment of crop conditions (for Belg Season). Central Statistical Agency of Ethiopia Sampling Frame The list containing EAs of all regions and their respective agricultural households obtained from the 2001/02 Ethiopian Agricultural Sample Enumeration (EASE) was used as the sampling frame in order to select the primary sampling units (EAs). Consequently, all sample EAs were selected from this frame based on the design proposed for the survey. The second stage sampling units, households, were selected from a fresh list of households that were prepared for each EA at the beginning of the survey. Sample Design In order to select the sample a stratified two-stage cluster sample design was implemented. Enumeration areas (EAs) were taken to be the primary sampling units (PSUs) and the secondary sampling units (SSUs) were agricultural households. In 2005-2006, unlike the years before, in order to obtain a fairly representative number of extension program participant households the CSA categorized listed agricultural households in each EAs in to two strata, i.e. households that are and that are not participants of extension program. The stratification was done on the basis of the six major crops where by the extension program is mostly exercised in the country. The crops are maize, teff, wheat, barley, sorghum and finger millet. The sample size for the 2005/06 agricultural sample survey (Belg Season) was 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. In order to reduce non-sampling errors manageability of the survey in terms of quality and operational control was also in addition considered. Except Harari, Addis Ababa and Dire Dawa, where each region as a whole was taken to be the domain of estimation; each zone of a region / special wereda was adopted as a stratum for which major findings of the survey are reported. Selection Scheme Enumeration areas from each stratum were selected systematically using probability proportional to size sampling technique; size being number of agricultural households obtained from the 1994 Population & Housing Census and adjusted for the sub sampling effect. From the fresh list of households prepared at the beginning of the survey 30 agricultural households within each sample EA were selected systematically. Twenty of the households were selected from non extension participant agricultural households while the rest 10 households were selected from extension participant agricultural households. Information on area under crops and Belg season production of crops, were obtained from the 30 households that were ultimately selected. Face-to-face [f2f] The 2005-2006 Annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaire: - CPSS Form 2005/8A: It contains form for listing holder information and crop productivity compared to last year. - CPSS Form 2005/8B: It contains forms for crop productivity compared to last year. Note: The questionnaire is presented in APPENDIX IV of the 2005-2006 Agricultural Sample Survey, Area and Production of Belg Season Crops Volume V report. Field Organization The Central Statistical Agency (CSA) branch statistical office heads, field supervisors and enumerators, other supporting staff and drivers were all involved in the field operation activities of the 2005-2006 (1998 E.C.) Belg season Crop Production Sample survey. To accomplish the data collection activities, all field enumerators were equipped with the necessary survey equipment (i.e. compass, programmable calculator, measuring tape, sample bags…etc). To assist with the fieldwork and data collection activities all available four-wheel drive vehicles were used for supervision and collection of Completed questionnaires. Training of Field Staff At the beginning of the survey year, the field staff-training program was carried out in two stages. The first stage consisted of trainees from the head office, branch statistical office heads, statisticians and some of the field supervisors for one week at CSA's headquarters in Addis Ababa. Those trained in the first stage conducted similar training for field supervisors and enumerators for 10 days in the 24 branch statistical offices, which are distributed all over the country. During the second stage training, the field staff were given detailed classroom instruction on the objectives and uses of the Agricultural Sample Survey (AgSS), concepts, and definitions of terms used, the method of area measurement, nterviewingprocedures, … etc. The enumerators' and supervisors' training also included a field practice to reinforce the procedures discussed in the classroom with regard to field area measurement, use of the programmable calculator and Crop-cutting techniques. Methods of Data Collection Except cropland area of Major Belg Season crop, the data of which collected objectively using compasses and measuring tape, the information on production of major Belg Season crops and agricultural practices (uses of fertilizer, pesticide, improved seed and irrigation) were subjectively collected by interviewing the holders of sampled households. Editing, Coding and Verification To insure the quality of the collected survey data an editing, coding, and verification instruction manual was written, and seventeen editors, data coders and verifiers were trained for one day to edit, code and verify the data using the aforementioned manual as a reference and teaching aid. The enumerator completed edited and coded questionnaires sent to the head office were thoroughly verified by trained verifiers on a 100% basis before the questionnaires were sent to the data entry unit. The editing, coding, verification and data entry of all questionnaires was completed in thirty-one days. Initially, a total of 2,024 enumeration areas were selected to be covered by the survey, and the survey was successfully carried out in 2,012 EAs (99.41 %). As regard to the ultimate sampling unit, it was planned to conduct the survey on 60,720 agricultural households and 60,045 (98.89 %) households were actually covered by the Belg season Agricultural Sample Survey. Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix I and II of the 2005-2006 Agricultural Sample Survey, Area and Production of Belg Season Crops Volume V report. Central Statistical Agency of Ethiopia "Central Statistical Authority of Ethiopia (CSA), Agricultural Sample Survey Belg 2005-2006 (AgSSB 2005), v1.1, provided by the National Data Archive. http://www.csa.gov.et" The Central Statistical Agency (CSA) is committed to achieving excellence in the provision of timely, reliable and affordable official statistics for informed decision making in order to maximize the welfare of all Ethiopians. This is achieved through the collection and analysis of censuses, surveys and the use of administrative data as well as the dissemination a range of statistical products and providing assistance and services to users. A microdata dissemination policy is established by CSA to address the conditions and the manner in which anonymized microdata files may be released to users for research purposes. It also strives to identify the different levels of anonymization for different categories of data use. This policy is available at CSA website (www.csa.gov.et <http://www.csa.gov.et>). CSA will release microdata files for use by researchers for scientific research purposes when: The Director General is satisfied that all reasonable steps have been taken to prevent the identification of individual respondents The release of the data will substantially enhance the analytic value of the data that have been collected For all but purely public files, researchers disclose the nature and objectives of their intended research, It can be demonstrated that there are no credible alternative sources for these data, and The researchers have signed an appropriate undertaking. Terms and conditions of use of public data files are the following: The data and other materials provided by CSA will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of CSA. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the CSA. No attempt will be made to produce links among datasets provided by CSA, or among data from the CSA and other datasets that could identify individuals or organizations. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from CSA will cite the source of data in accordance with the Citation Requirement provided with each dataset. An electronic copy of all reports and publications based on the requested data will be sent to CSA. The original collector of the data, CSA, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses. Cost Recovery Policy: It is the policy of CSA to encourage broad use of its products by making them affordable for users. Accordingly, CSA attempts to ensure that the costs of creating anonymized microdata files are built-in to the survey budget. At the same time, CSA attempts to recover costs associated with the provisions of special services that benefit only a specific group. Information on the price of each dataset is available at CSA website (www.csa.gov.et <http://www.csa.gov.et>). 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. belg-holder characteristics 98 Data for holder information 0 18 belg-field characteristics 98 Data for field information 0 56 Region Region Region Region Region Region Zone Zone Zone Zone Zone Zone District District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Holder id Parcel Parcel Parcel Parcel Parcel Parcel Field Field Field Field Field Field Holder Weight Holder Weight Holder Weight Holder Weight Holder Weight Holder Weight Age Age Age Age Age Age Sex Sex Sex Sex Sex Sex 1 Male 2 Female Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) 1 Illiterate 2 No formal Education 3 Grade 1 completed 4 Grade 2 completed 5 Grade 3 completed 6 Grade 4 completed 7 Grade 5 completed 8 Grade 6 completed 9 Grade 7 completed 10 Grade 8 completed 11 Grade 9 completed 12 Grade 10 completed 13 Grade 11 completed 14 Grade 12 completed 15 Above Grade 12 Household Size Household Size Household Size Household Size Household Size Household Size Type Type Type Type Type Type 1 Crop only 2 Livestock only 3 Both Crop and livestock Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Region Region Region Region Region Region Zone Zone Zone Zone Zone Zone District District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Holder id Parcel Parcel Parcel Parcel Parcel Parcel Field Field Field Field Field Field Field Weight Field Weight Field Weight Field Weight Field Weight Field Weight Field Part Field Part Field Part Field Part Field Part Field Part Field Type Field Type Field Type Field Type Field Type Field Type Crop or Land Use Crop or Land Use Crop or Land Use Crop or Land Use Crop or Land Use Crop or Land Use 1 Barley 2 Maize 3 Millet 4 Oats 5 Rice 6 Sorghum 7 Teff 8 Wheat 11 Chick peas 12 Haricot beans 13 Horse beans 14 Lentils 15 Field peas 16 Vetch 17 Gibto 18 Soya Bean 23 Linseed 24 Ground nuts 25 Neug 26 Rapeseed 27 Sesame 28 Sunflower 36 Fenugreek 38 Red Peppers 42 Bannana 44 Lemon 46 Mango 47 Orange 48 Papaya 49 Pineapples 51 Beet root 52 Cabbage 53 Carrot 55 Garlic 56 Kale 57 Lettuce 58 Onion 59 Green Peppers 60 Potato 62 Sweet Potato 63 Tomatoes 64 Godere 65 Guava(Zeytuna) 69 Spinach 71 Chat 72 Coffee 74 Enset 75 Hops 'Gesho' 76 Sugar cane 77 Other stimulant crops Owner Type Owner Type Owner Type Owner Type Owner Type Owner Type 1 Private 2 Rent/leased 3 Other Extension Extension Extension Extension Extension Extension 1 Yes 2 No Irrigation Used Irrigation Used Irrigation Used Irrigation Used Irrigation Used Irrigation Used 1 Yes 2 No Source of Irrigation Source of Irrigation Source of Irrigation Source of Irrigation Source of Irrigation Source of Irrigation 1 River 2 Lake 3 Pond 4 Water harvesting 5 Other Seed Type Seed Type Seed Type Seed Type Seed Type Seed Type 1 Improved 2 Non-improved Weight of improved Seed Weight of improved Seed Weight of improved Seed Weight of improved Seed Weight of improved Seed Weight of improved Seed 9999.999 Not stated Improved Seed Cost Improved Seed Cost Improved Seed Cost Improved Seed Cost Improved Seed Cost Improved Seed Cost 99999.99 Not stated Weight of Non Improved Seed Weight of Non Improved Seed Weight of Non Improved Seed Weight of Non Improved Seed Weight of Non Improved Seed Weight of Non Improved Seed 9999.999 Not stated Any Damage Any Damage Any Damage Any Damage Any Damage Any Damage 1 Yes 2 No Damage Reason Damage Reason Damage Reason Damage Reason Damage Reason Damage Reason 1 Too much rain 2 Too little rain 3 Insects 4 Crop disease 5 Weeds 6 Hail 7 Frost 8 Floods 9 Wild animals 10 Locust 11 Birds 12 Shortage of seeds 13 Depletion of soil fertility 14 Security problems 15 Other Damage Percent Damage Percent Damage Percent Damage Percent Damage Percent Damage Percent 999 Not Stated Any Measure to Prevent Damage Any Measure to Prevent Damage Any Measure to Prevent Damage Any Measure to Prevent Damage Any Measure to Prevent Damage Any Measure to Prevent Damage 1 Yes 2 No Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention 1 Chemical 2 Non-chemical 3 Both Chemical Used Chemical Used Chemical Used Chemical Used Chemical Used Chemical Used 1 Insecticide 2 Herbicide 3 Fungicide 4 Insectcide & Herbicide 5 Insectcide & Fungicide 6 Herbicide & Fungicide 7 All 9 Not stated Fertilizer Used Fertilizer Used Fertilizer Used Fertilizer Used Fertilizer Used Fertilizer Used 1 Yes 2 No Fertilizer Type Fertilizer Type Fertilizer Type Fertilizer Type Fertilizer Type Fertilizer Type 1 Natural 2 Chemical 3 Both Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type 1 Urea 2 DAP 3 Both 9 Not stated Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity 9999.99 Not stated Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type 1 Manure 2 Humese/besebash 3 Both 4 Others 9 Not stated Percent of Field in Use Percent of Field in Use Percent of Field in Use Percent of Field in Use Percent of Field in Use Percent of Field in Use Land use only 100 Single crop Area Measure - Month Area Measure - Month Area Measure - Month Area Measure - Month Area Measure - Month Area Measure - Month 1 Meskerem 2 Tikimt 3 Hidar 4 Tahsas 5 Tir 6 Yekatit 7 Megabit 8 Miazia 9 Ginbot 10 Sene 11 Hamle 12 Nehase 13 Pagume 99 Not stated Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day 99 Not stated Closuer error Closuer error Closuer error Closuer error Closuer error Closuer error Reason for Not Measuring Area Reason for Not Measuring Area Reason for Not Measuring Area Reason for Not Measuring Area Reason for Not Measuring Area Reason for Not Measuring Area 1 Not in FA 2 Can't read bearing 3 Holder refused 4 Other 5 Measured Enumerator Area (sq. m.) Enumerator Area (sq. m.) Enumerator Area (sq. m.) Enumerator Area (sq. m.) Enumerator Area (sq. m.) Enumerator Area (sq. m.) Computer Area (sq. m.) Computer Area (sq. m.) Computer Area (sq. m.) Computer Area (sq. m.) Computer Area (sq. m.) Computer Area (sq. m.) Area Area Area Area Area Area Local production unit Local production unit Local production unit Local production unit Local production unit Local production unit Production in local unit Production in local unit Production in local unit Production in local unit Production in local unit Production in local unit production production production production production production Yield of main season 1998 E.C. Yield of main season 1998 E.C. Yield of main season 1998 E.C. Yield of main season 1998 E.C. Yield of main season 1998 E.C. Yield of main season 1998 E.C. Cond98 Condition Cond98 Condition Cond98 Condition Cond98 Condition Cond98 Condition Cond98 Condition Condda Condda Condda Condda Condda Condda Condfa Condfa Condfa Condfa Condfa Condfa conddafa average conddafa average conddafa average conddafa average conddafa average conddafa average Condition Factor Condition Factor Condition Factor Condition Factor Condition Factor Condition Factor Production Condition Production Condition Production Condition Production Condition Production Condition Production Condition Production of DA Production of DA Production of DA Production of DA Production of DA Production of DA Production of FA Production of FA Production of FA Production of FA Production of FA Production of FA Prod98 Of 30 percent FA and 70% Conditon Prod98 Of 30 percent FA and 70% Conditon Prod98 Of 30 percent FA and 70% Conditon Prod98 Of 30 percent FA and 70% Conditon Prod98 Of 30 percent FA and 70% Conditon Prod98 Of 30 percent FA and 70% Conditon Prod98 Of FA and DA Avrage Prod98 Of FA and DA Avrage Prod98 Of FA and DA Avrage Prod98 Of FA and DA Avrage Prod98 Of FA and DA Avrage Prod98 Of FA and DA Avrage