DDI_ETH_2010_AgSSB_v01_M Central Statistical Agency Accelerated Data Program 2011-02-17 NADA Version 02 (October 2013). Edited version based on Version 01 DDI (DDI_ETH_2010_ASSBS_v01_M) that was done by Central Statistical Agency, Ethiopia and reviewed by Accelerated Data Program, International Household Survey Network. Agricultural Sample Survey 2010-2011 Belg (2003 E.C) AgSSB 2010-11 ETH_2010_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, 2004-2005, 2005-2006, 2006-2007, 2007-2008, 2008-2009, and 2009-2010. v01: Edited and non anonymized dataset, for internal use only. Agriculture Food Land Crops Agriculture & Rural Development Food (production, crisis) Land (policy, resource management) The objectives of the 2010/11 (2003 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, area under improved seed, pesticide treated cropland area, etc. The adequate and timely supply of this information to ultimate users is therefore, important for use as a primary input in the process of policy formulation, designing developmental agricultural projects and programmes. This report, therefore, presents quantitative information on the above-mentioned major variables at country and regional levels. Ethiopia The 2010/11 (2003 E.C.) Annual Agricultural Sample Survey (Belg season) covered the entire rural parts of the country except the non-sedentary population of three zones of Afar & six zones of Somali regions. Accordingly the survey took in to account of all parts of Harari, Dire Dawa, and actually 59 Zones / Special weredas (that are treated as zones) of other regions. Household, holder, crop Agricultural households from the sampled areas Sample survey data [ssd] The scope of annual Agricultural Sample Survey included: - Area identification and characteristics of agricultural holder's. This included household's geographic locations, holder's age, holder's sex and educational status. - List of fields and agricultural practices for pure stand and mixed crops. - List of permanent crops and number of tress. - Records of quantity of improved seed, fertilizers and information on crop protection. - Records of results of area measurements. - List and selection of fields for crop cutting and details of record of crop cutting. Central Statistical Agency SAMPLING FRAME The list containing EAs of all regions and their respective households obtained from the 2007 Population and housing Census Frame 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. The sample size for the 2010/11agricultural sample survey 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 considered. Except Harari, 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. The sizes for EAs were obtained from the 2007 Population and Housing census frame. From the fresh list of households prepared at the beginning of the survey 30 agricultural households within each sample EA were selected systematically. Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II respectively. Distribution of sampling units (sampled and covered EAs and households) by stratum is also presented in Appendix-III. To be covered by the survey, a total of around 2110 Enumeration Areas (EAs) were selected. However, due to some EAs weren't growing Belg season crops, in 934 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1176 EAs throughout the regions. Face-to-face [f2f] The 2010-2011 annual Agricultural Bleg Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaires: . - Form CPSS 2002/8: contains list of fields under mixed crops (including vegetables and root crops). - Form CPSS 2002/3A: assessment of Belg season crop conditions. - Form CPSS 2002/3B: assessment of crop condition. - Form CPSS 2002/3C: assessment of crop condition. 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. Appendix II illustrates the total number of EAs and households reporting for the 2010/11 (2003 E.C.), Belg crop production by region. Editing, Coding and Verification To insure the quality of the collected survey data an editing, coding, and verification instruction manual was written, and 17 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 manual cleaning of all questionnaires was completed in 15 days. Estimation procedure of totals, ratios, sampling error and the measurement of precision of estimates (CV) are given in Appendix-I and II of the report which is provided in the metadata. Central Statistical Agency "Central Statistical Authority of Ethiopia (CSA), Agricultural Sample Survey (Belg) 2010-2011 (AgSSB 2010), v01, 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 (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 ) 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-2003-Household-information Data collected about household information 0 10 Belg-2003-Holder-information Data collected about holder information 0 15 Belg-2003-Field-information Data collected about field information 0 55 Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromia 5 Somalia 6 Benshangul_Gumz 7 S.N.N.P.R 12 Gambella 13 Harara 14 Addis_Ababa 15 Dire_Dawa 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 1 Male 2 Female Head sex Pesons Weight Pesons Weight Pesons Weight Pesons Weight Pesons Weight Pesons Weight Household Size Household Size Household Size Household Size Household Size House hold Size Household Size Person Ratio Person Ratio Person Ratio Person Ratio Person Ratio Person Ratio Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromia 5 Somalia 6 Benshangul_Gumz 7 S.N.N.P.R 12 Gambella 13 Harara 14 Addis_Ababa 15 Dire_Dawa 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 1 Male 2 Female Head sex Holder id Holder id Holder id Holder id Holder id Holder id Holder Weight Holder Weight Holder Weight Holder Weight Holder Weight Holder Weight Age Age Age Age Age Age Sex Sex Sex Sex Sex 1 Male 2 Female Sex Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Educational Status 1 Illitrate - previous and current curriculum 2 Informal education 3 Grade one completed 4 Grade two completed 5 Grade threee completed 6 Grade four completed - previous and current curriculum 7 Grade five completed - previous and current curriculum 8 Grade six completed - previous and current curriculum 9 Grade seven completed - previous and current curriculum 10 Grade eight completed - previous and current curriculum 11 Grade nine completed - previous curriculum 12 Grade ten completed - previous curriculum 13 Grade eleven completed - previous curriculum 14 Grade twelve completed - previous curriculum 15 Above grade twelve - previous curriculum 16 Grade nine completed - current curriculum 17 Grade ten completed - current curriculum 18 Grade ten completed and learning vocational - current curric 19 Certificate vocational - current curriculum 20 Grade elven preparatory completed- current curriculum 21 Grade twelve preparatory completed- current curriculum 22 Above grade twelve preparatory - current curriculum Education (Highest Grade) Household Size Household Size Household Size Household Size Household Size House hold Size Household Size Type Type Type Type Type 1 Crop only 2 Livestock 3 Both crop and livestock Type Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromia 5 Somalia 6 Benshangul_Gumz 7 S.N.N.P.R 12 Gambella 13 Harara 14 Addis_Ababa 15 Dire_Dawa 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 1 Male 2 Female 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 Part Part Part Part Part Part Field Type Field Type Field Type Field Type Field Type 1 Pure stand 2 Mixed crop 3 Other land use Field Type 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 Finger millet 4 Oats/ “Aja” 5 Rice 6 Sorghum 7 Teff 8 Wheat 9 Roman 10 Cassava 11 Chick Peas 12 Haricot Beans 13 Faba Beans/ Horse Beans 14 Lentils 15 Field Peas 16 Grass peas/Vetch 17 Gibto 18 Soya Beans 19 Cactus 20 Fennel 21 Castor Beans 22 Cotton Seed 23 Flax/lin seed 24 Ground nuts 25 Niger seed/neug/ 26 Rape Seed 27 Sesame 28 Safflower 29 Mego 30 Wild thyme/savory 31 Black Cumin 32 Black Pepper 33 Cardamom 34 Chilies 35 Cinnamon 36 Fenugreek 37 Ginger 38 Red Pepper 39 Termeric 40 White Cumin 41 Apples 42 Banana 43 Grapes 44 Lemon 45 Mendarin 46 Mangoes 47 Oranges 48 Papayas 49 Pineapples 50 Tringo (cition) 51 Beet root 52 Head Cabbage 53 Carot 54 Couliflower 55 Garlic 56 Ethiopian Cabbage 57 Lettuce 58 Onion 59 Green Pepper 60 Potatoes (Boye) 61 Pumpkin 62 Sweet Potatoes 63 Tomatoes 64 Godere 65 Guava 66 Peach 67 Mustard 68 Feto 69 Swiss Chard 70 Green Beans 71 Chat 72 Coffee 73 Cotton 74 Enset 75 Hops / ‘Gesho’ 76 Sugar Cane 77 Tea 78 Tobacco 79 Coriander 80 Sacred Basil 81 Rue 82 Gishita 83 Water mellon 84 Avocados 85 Grazing land 86 Fallow land 89 Forest land 97 Pijapin 98 Other root crops 99 Other land use 101 Wechino 103 Wepal 104 Keenkech 105 Buya 106 Dates 107 Achino 108 Amboshika 109 Sisal 111 Comtatie 112 Casmir 113 Strawberry 114 Shiferaw 115 Other Fruits 116 Timiz kimemem 117 Other Spices 118 Other Pulses 119 Other Oil Seeds 120 Other Cereals 123 Other Vegetables Crop or Land Use Owner Type Owner Type Owner Type Owner Type Owner Type 1 Private 2 Rent/leased 3 Other Owner Type Extension Extension Extension Extension Extension Have the field been included in the extension package program 1 Yes 2 No Extension Irrigation Irrigation Irrigation Irrigation Irrigation Was the field irrigated ? 1 Yes 2 No Irrigation Source of Irrigation Source of Irrigation Source of Irrigation Source of Irrigation Source of Irrigation 1 River 2 Lake 3 Pond 4 Harvested water 5 Other Source of Irrigation Seed Type Seed Type Seed Type Seed Type Seed Type Varity of seeds used 1 Improved 2 Non-improved Seed Type Weight of improved Seed Weight of improved Seed Weight of improved Seed Weight of improved Seed Weight of improved Seed (For Cereals, Pulses and oil seeds only) If improved seed was used What was the total quantity 9999.999 Not stated Weight of improved Seed Improved Seed Cost Improved Seed Cost Improved Seed Cost Improved Seed Cost Improved Seed Cost (For Cereals, Pulses and oil seeds only) If improved seed was used What was the cost/price 99999.99 Not stated Improved Seed Cost 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 (For Cereals, Pulses and oil seeds only) If indigenous seed was used, What was the total Quantity 9999.999 Not stated Weight of Non Improved Seed Any Damage Any Damage Any Damage Any Damage Any Damage Was the crop damage 1 Yes 2 No Any Damage Damage Reason Damage Reason Damage Reason Damage Reason Damage Reason If you, what was the major censes of damage 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 Reason Damage Percent Damage Percent Damage Percent Damage Percent Damage Percent Percentage of damage Damage Percent 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 control/prevention measure taken for crop damage 1 Yes 2 No Any Measure to Prevent Damage Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention Type of Damage Prevention If Yes, What type of measure ? 1 Chemical 2 Non-chemical 3 Both Type of Damage Prevention Chemical Used Chemical Used Chemical Used Chemical Used Chemical Used If Chemical 1 Insecticide 2 Herbicide 3 Fungicide 4 Insectcide & Herbicide 5 Insectcide & Fungicide 6 Herbicide & Fungicide 7 All 9 Not stated Chemical Used Fertilizer Used Fertilizer Used Fertilizer Used Fertilizer Used Fertilizer Used What was field fertilized ? 1 Yes 2 No Fertilizer Used Fertilizer Type Fertilizer Type Fertilizer Type Fertilizer Type Fertilizer Type If fertilized What type ? 1 Natural 2 Chemical 3 Both Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type Chemical Fertilizer Type If chemical fertilizer used 1 Urea 2 DAP 3 Both 9 Not stated Chemical Fertilizer Type Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Chemical Fertilizer quantity Quantity in Kg. 9999.99 Not stated Chemical Fertilizer quantity Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type Natural Fertilizer Type If Natural fertilizer used mainly what type ? 1 Manure 2 Humese/besebash 3 Organic 4 Manure and Humese/besebash 5 Manure and Organic 6 Humese/besebash and Organic 7 All types 8 Other 9 Not stated Natural Fertilizer Type 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 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 - Month Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day Area Measure - Day Closuer error Closuer error Closuer error Closuer error Closuer error Closuer error 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 in Hectar Area in Hectar Area in Hectar Area in Hectar Area in Hectar Area in Hectar Area (sq. m.) Area (sq. m.) Area (sq. m.) Area (sq. m.) Area (sq. m.) Area (sq. m.) 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 in local unit Production in Quintal Production in Quintal Production in Quintal Production in Quintal Production in Quintal Production in Quintal Dry Weight Production (kg.) Dry Weight Production (kg.) Dry Weight Production (kg.) Dry Weight Production (kg.) 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