DDI_ETH_2001_AgSE-AP_v02_M Central Statistical Agency International Household Survey Network 2006-07-28 NADA Version 02: Adopted from "DDI-ETH-CSA-AgSE-AP-2001-v1.1" DDI, that was done by Ethiopian Central Statistical Agency. Agricultural Sample Enumeration, Area and Production 2001-2002 (1994 E.C) AgSE-AP 2001-02 ETH_2001_AgSE-AP_v01_M Central Statistical Authority NADA Government of Ethiopia Data Administrator Agricultural Census [ag/census] Version 1.1: Edited and non anonymized dataset, for internal use only. Ethiopian farming largely produces only enough food for the peasant holder and his family for consumption, leaving little to sell. This inadequate volume of production is ascribed to the tardy progress in the farming methods and scattered pieces of land holdings. Under this traditional sector, agriculture is practiced on public land and most of the produce is mainly for own consumption. The diverse climate of the country and the multiple utilizations of crops have prompted the vast majority of agricultural holders to grow various temporary and permanent crops. Despite the variation in the volume of production, the relative importance and pattern of growth of these crops are largely similar across many of the regions. There is a general agreement that the performance of an agricultural system should achieve a steady supply of food to the people of a country. But, unless special attention is focused on agriculture, its performance can be impeded by vagaries of nature, population growth and scarcity and fragmentation of land, thus, affecting food supply and posing a challenge to the federal and regional governments. This situation calls for an overhaul of the agricultural system in the country or the regions. In order to have a flourishing agriculture, which sustains reliable food supply, the federal and regional governments have to formulate and implement farm programs that ensure food security. The preparation, execution, monitoring and assessment of these programs entail statistics on agriculture particularly crop production since it is the prime target that national or regional agricultural policies aim at. The collection of data on crop production should encompass all crop seasons in the agricultural calendar and farming activities in both rural and urban areas. It should also include the wide range of crops that are grown and embodied in the food security system, which are indispensable for a sustained provision of staple diet and other cash crops like coffee and Chat. In view of this, crop production data for private peasant holdings for both “Meher” and “Belg” seasons in both rural and urban areas were collected in the census to provide the basis for decision making in the process of implementing timely food security measures and to make policy makers aware of the food situation in the country. Ethiopia The 2001-2002 (1994 E.C) Agricultural Sample Enumeration was designed to cover the rural and urban parts of all districts (weredas) in the country on a large-scale sample basis excluding the pastoralist areas of the Afar and Somali regional states. Household/ Holder/ Crop Agricultural households Census/enumeration data [cen] The scope of Agricultural Sample Enumeration (area and producation module) includes: - Identification particulars - Assessment of crop conditions (for "Meher" season) - Selection of fields for and crop cutting experiment - Details of crop cutting (for temporary crops only) (excluding vegetables and root crops) - Details of crop cutting plot preparaion (for vegetables and root crops) - Crop cutting result (for vegetables and root crops) - Details of crop-cutting (for permanent crops) (excluding Coffee, Chat and Gesho) - Details of crop-cutting for Coffee, Chat and "Gesho" - Crop usage proportions - Livestock product usage proportions Central Statistical Authority of Ethiopia Sampling Frame The list of enumeration areas for each wereda was compiled from the 1994 Ethiopian Population and Housing Census cartographic work and was used a frame for the selection of the Primary Sampling Units (PSU). The 1994 Population and Housing Census enumeration area maps of the region for the selected sample EA's were updated, and the EA boundaries and descriptions were further clarified to reflect the current physical situation. The sampling frame used for the selection of ultimate sampling units (agricultural households) was a fresh list of households, which was prepared by the enumerator assigned in the sampled EA's using a prescribed listing instruction at the beginning of the launching of the census enumeration. Sample Design In order to meet the objectives and requirements of the EASE, a stratified two-stage cluster sample design was used for the selection of ultimate sampling units. Thus, in the regions each wereda was treated as stratum for which major findings of the sample census are reported. The primary sampling units are the enumeration areas and the agricultural households are secondary (ultimate) sampling units. Finally, after the selection of the sample agricultural households, the various census forms were administered to all agricultural holders within the sampled agricultural households. For the private peasant holdings in the rural areas a fixed number (25) of sample EA's in each wereda and 30 agricultural households in each EA were randomly selected (determined). In urban areas, weredas with urban EA's of less than or equal to 25, all the EA's were covered. However, for weredas with greater than 25 urban EA's, sample size of 25 EA's was selected. In each sampled urban EA, 30 agricultural households were randomly selected for the census. The sampled size determination in each wereda and thereby in each EA was based upon the required precision level of the major estimates and the cost consideration. The pilot survey and the previous year annual agricultural sample survey results were used to determine the required sample sizes per wereda. Sample Selection of Primary Sampling Units Within each wereda (stratum) in the region, the selection of EAs was carried out using probability proportional to size systematic sampling. In this case, size being total number of agricultural households in each EA obtained from the listing exercise undertaken in the 1994 Ethiopian Population and Housing Census of the region. Listing of Households and Selection of Agricultural Households In each sampled enumeration area of the region, a complete and fresh listing of households was carried out by canvassing the households in the EA. After a complete listing of the households and screening of the agricultural households during the listing operation in the selected EA, the agricultural households were serially numbered. From this list, a total of 30 agricultural households were selected systematically using a random start from the pre-assigned column table of random numbers. The sampling interval for each EA was determined by dividing the total number of agricultural households by 30. For crop cutting exercise purposes (rural domain) a total of 20 agricultural households were randomly selected from the 30 sampled agricultural households. The systematical random sampling technique was employed in this case, because its application is simple and flexible, and it can easily yield a proportionate sample. Face-to-face [f2f] Forms and equipment are instrumental in gathering information from various sources. The census forms are the vehicle and basic document for collecting the desired data. These include general-purpose forms covering farm management practices, demographic and economic characteristics, area, and production of both temporary and permanent crops; livestock, poultry and beehives ... etc. These forms are formulated for recording data generated through interview as well as objective measurements. Although the planning, organization and execution of the census were the responsibilities that rested within the CSA, development of the census forms was a tedious task that involved the formation of a working group composed of members of government and non-governmental organizations who are major users of agricultural data. Members of the working group were given the opportunity to identify their data requirements, define the needs of others and determine the specific questions that the forms should contain. The working group included the staff of the organizations that are involved in agricultural planning, collection of agricultural statistics and the use of data within the agricultural sector. The working group designed different forms for the various data items on crop area, production, and other variables of interest to meet the needs of current data users and also considered the future expectations. Attempt was made to make the content of the forms of acceptable length by distributing the variables to be collected in the different census forms. The rural census questionnaires/forms included: - Forms 94/0 and 94/1 that are used to record all households in the enumeration area, identify the agricultural households and select the units to be covered by the census. - Form 94/2 is developed to list all the members of the sampled agricultural households and record the demographic and economic characteristics of each of the members. - Forms 94/3A, 94/3B, 94/3C and 94/3D are prepared to enumerate crop data through interview and objective measurement. - Form 94/5 is designed to record crop area data via the physical or objective measurement of crop fields. - Form 94/6 is used to list all the fields under crop and select a crop field for each type of crop randomly for crop cutting exercise. - Forms 94/7A, 94/7B, and 94/7C are developed for recording yield data on cereals, oil seeds, pulses, vegetables root crops and permanent crops by weighing their yields obtained from sub-plots and/or trees selected for crop-cuttings. - Form 94/8 is prepared to enumerate livestock, poultry and beehives data by type, age, sex and purpose including products through interview (subjective approach). - Forms 94/9, 94/10 and 94/11 are used to collect data on crop and livestock product usage; miscellaneous items and farm tools, implements, draught animals and storage facilities, in that order, by interviewing the sample holders. “Belg” season questionnaires identified as: - Form 94/12A and 94/12B that are used to record data on farm management practices of the “Belg” season. - Form 94/4 was the questionnaire used for collecting data on crop production forecast for 2001-2002 and the data collected using this form was published in December 2001 subjectively, while 94/12C is for recording “Belg” season crop area through objective measurement and volume of production through interview approach. On the other hand, the census questionnaires/forms used in the urban areas include: - Form U-94/1 which used to record all households in the EA, identify the agricultural households and select the units to be covered by the census. - Form U-94/2 is developed to list all the members of the sampled agricultural household and record the demographic and economic characteristics of each of the members. - From U-94/3 is prepared to enumerate crop data through interview method. - Form U-94/4 is prepared to enumerate livestock, poultry and beehives data by type, sex, age and purpose including products through interview (subjective approach). - Form U-94/5 is used to collect data on crop and livestock usage. Editing, Coding and Verification: In the 2001-2002 Ethiopian Agricultural Sample Enumeration (EASE), the filled-in forms that were retrieved from 47 Branch Statistical Offices were primarily received and systematically registered at the documentation unit of the CSA head quarters in Addis Ababa. Before launching the actual editing and coding activities, the Natural Resources and Agricultural Statistics Department staff gave adequate training to the 157 editors and coders. These editors and coders carried out the manual editing, coding and verification of the filled-in EASE questionnaires in two shifts. At the outset, the editing and coding activities for the filled-in forms on area and agricultural practices took place; this was followed up by the editing and coding of the forms on the production of temporary crops (cereals, pulses, oil seeds, vegetables and root crops), livestock, farm implements, permanent crops, “Belg” and miscellaneous questionnaires region by region. For the filled-in forms on area and agricultural practices, verification was carried out on 100% basis for the first five weeks from the launching of the activity and then considering the quality performance of editor-coders the activity was dropped to 66% of the forms gradually. On the other hand, the verification activity has been carried out on 100% basis for the filled-in forms on production of the temporary and permanent crops, livestock, farm implements and all other completed forms. For the total country, the editing, coding and verification of the filled-in forms in general took about 330.6 working days. That is, the editing, coding and verification of the filled-in forms for area, agricultural practice, the production of the temporary and permanent crops, and livestock took about 198.5 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took around 132.1 working days. Data Entry, Cleaning and Tabulation: About 144 data encoders were assigned to undertake the data entry activity of 2001/02 EASE and it has been carried out on two-shift basis. Before the starting of the data entry operation data encoders were trained for about 5 days using computer programs developed by the Data Processing Department staff. The Programmers prepared the data entry programs using CENTRY, which is a data entry module of IMPS (Integrated Microcomputer Processing System). The data entry exercise has been carried out using 76 personal computers (PC's). Like that of the manual editing and coding activity, the filled-in forms on area and agricultural practices were entered first and this was followed by entry of the filled-in forms on the production of temporary crops, livestock, farm implements, permanent crops, “Belg” and miscellaneous questionnaires region by region till all the census data entry operations are completed. In order to ensure the quality of the data entry work, verification exercise was carried out. The entry of the filled-in forms on area and agricultural practices were verified on 100 % basis. Then the verification exercise was dropped to 66 % from the 6th week of the launching of the operation and was further reduced to 50% from the 10th week onwards by observing and assessing the magnitude of the percentage of errors. Later on verification process was carried out on 100% basis for the filled-in forms on the production of temporary and permanent crops, livestock, farm implements and all other completed forms. The verification activity was carried out through the process of re-entering the data. For the total country, the whole data entry process of the filled-in forms on area, agricultural practice, the production of the temporary and permanent crops, and livestock took around 253.1 working days, while that of the filled-in forms on farm implements, demographic characteristics, Belg season and the urban forms took about 257.9 working days. Data entered into the computer needs to be checked for completeness, consistency and validity. For this purpose computer edit programs were prepared by programmers using CONCOR, which is the editing module of IMPS. Using print-outs from these programs and referring to the filled-in census forms, corrections were made by nine trained manual data cleaning technicians. Moreover, nine other data-cleaning computer operators were involved in making the actual corrections of the data on the computer. Additionally, an intermediate set of instructions or programs were made available and applied on the data to prepare information suitable for tabulation. These programs were prepared using CSPro and IMPS software. Like IMPS Software, CSPro is used as a tool for entering, editing and tabulating data. CSA used the CSPro software for data editing and calculation of CVs. Data made ready for tabulation through the process of cleaning and intermediate programs was finally used to generate the required tables. This was done using tabulation programs developed by the senior programmers of the Data processing Department. The CENTS software, a tabulation component of IMPS, was used in producing the 2001-2002 EASE results. Estimated procedure of parameters of interest like total, yield and ratio and their sampling errors is presented in Appendix I of the reports which are attached with this metadata. Standard errors and coefficients of variations of estimates for selected variables are also given as an annex at the end of each report. Ethiopia Central Statistical Agency The following statement must be used as citation: "Central Statistical Authority of Ethiopia (CSA). Agricultural Sample Enumeration (AgSE 2001-2002) " 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 (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. National_Field_Information_nacr50 0 52 National_Holder_information_nacr02 0 17 National_Household_member_Information_nacr01 This dataset collected at holder level and contains basic social and economic characteristics of the household for rural area. 0 24 Household id Household id Household id Household id Household id Household id Region Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromiya 5 Somalie 6 Benshangul 7 SNNP 12 Gambela 13 Harari 14 Addis ababa 15 Dire dawa Zone Zone Zone Zone Zone Zone District (wereda) District (wereda) District (wereda) District (wereda) District (wereda) District (wereda) Town Town Town Town Town Town 8 Rural Keftegna Keftegna Keftegna Keftegna Keftegna Keftegna 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 number Household number Household number Household number Household number Household number Holder number Holder number Holder number Holder number Holder number Holder number Parcel number Parcel number Parcel number Parcel number Parcel number Parcel number Field number Field number Field number Field number Field number Field number Field weight Field weight Field weight Field weight Field weight Field weight Field rate Field rate Field rate Field rate Field rate Field rate Season Season Season Season Season Season 1 Main ("Meher") season 2 "Belg" season Field part Field part Field part Field part Field part Field part 1 1 2 2 3 3 Crop Crop Crop Crop Crop Name of crop or crop code 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 19 Cactus "Beles" 20 "Ensosela" 23 Linseed 24 Ground nuts 25 "Neug" 26 Rapeseed 27 Sesame 28 Sunflower 31 Black Cumin "Tikur Azmud" 32 "Kundo Berbera" 33 Cardamon "Korerima" 34 Chilies "Mitmita" 35 "Kerefa" 36 Fenugreek 37 Ginger 38 Red Peppers 39 Turmeric "Erd" 40 White Cumin 42 Banana 43 Grape 44 Lemond 45 "Mendarin" 46 Mangoes 47 Oranges 48 Papaya 49 Pineapples 50 "Tirengo" 51 Beet root 52 Cabbage 53 Carrot 54 "Abeba Gomen" 55 Garlic 56 Kale 57 Lettuce 58 Onion 59 Green Peppers 60 Potato 61 "Duba" 62 Sweet Potato 63 Tomatoes 64 "Godere" 65 Guava " Zeytun" 66 "Koke" 69 Spinach 70 "Fosoliya" (Fagoli) 71 Chat 72 Coffee 73 Cotton 74 "Enset" 75 Hops 'Gesho' 76 Sugar cane 77 Other stimulant crops 78 Tobacco 79 Coriander "Denbilal" 80 Sacred Basil "Beso bila" 81 "Tenadam" 83 "Kerbush"/ "Habhab" 84 Avocado 85 Grazing land 86 Fallow Land 89 Wood Land 98 Other root crops 99 Other land (water well,"awdema","gotera") 113 "Enjori" 114 Other permanents 115 Other fruit crops 116 "Timizmez kemem" 117 Other spices 118 Other pulses 119 Other oil seeds 120 Other cereals 121 Other cash crops 123 Other vegetables 999 Others not specified Recode land use Recode land use Recode land use Recode land use Recode land use Recode land use 1 Temporary crop 2 Permanent crop 3 Grazing land 4 Fallow land 5 Wood land 6 Other land Type of holding Type of holding Type of holding Type of holding Type of holding Type of holding 1 Private 2 Rented/contract 3 Other 9 Not stated Field included in the extention package program Field included in the extention package program Field included in the extention package program Field included in the extention package program Field included in the extention package program Have the field been included in the extension package program? 1 Yes 2 No 9 Not stated Have the field been included in the extension package program Yes = 1 No = 2 Number of trees Number of trees Number of trees Number of trees Number of trees Total number of trees in the field (Excluding coffee,Chat, Pineapple, Sugar-cane) Total Number of Trees in the Field (Excluding Coffe,Chat,Pineapple,Sugar-cane) Number of trees of bearing age Number of trees of bearing age Number of trees of bearing age Number of trees of bearing age Number of trees of bearing age Total number of trees of fruit bearing age (Excluding coffee,Chat, Pineapple, Sugar-cane) Number of trees of Fruit Bearing Age (Excluding Coffe,Chat,Pineapple,Sugar-cane) Irrigation used Irrigation used Irrigation used Irrigation used Irrigation used Did you apply irrigation? 1 Yes 2 No 9 Not stated Did you apply Irrigation Yes - 1 No - 2 Seed type /variety of seeds used Seed type /variety of seeds used Seed type /variety of seeds used Seed type /variety of seeds used Seed type /variety of seeds used Seed type /variety of seeds used 1 Improved 2 Non-improved 9 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 Weight of improved seed Weight of improved seed Weight of improved seed Weight of improved seed Weight of improved seed Weight of improved seed Improved seed cost Improved seed cost Improved seed cost Improved seed cost Improved seed cost Improved seed cost Crop damaged Crop damaged Crop damaged Crop damaged Crop damaged Was the crop damaged? 1 Yes 2 No 9 Not stated Damage reason Damage reason Damage reason Damage reason Damage reason If "Yes" in "Was the crop damaged?" What was the major cause 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 99 Not stated If yes, what was the major cause of damage Damage percent Damage percent Damage percent Damage percent Damage percent Percentage of damage 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 100 Any measure taken prevent damage Any measure taken prevent damage Any measure taken prevent damage Any measure taken prevent damage Any measure taken prevent damage Any control/prevention measure takes for crop damage 1 Yes 2 No 9 Not stated Type of damage prevention Type of damage prevention Type of damage prevention Type of damage prevention Type of damage prevention Type of damege prevantion 1 Chemical 2 Non-chemical 3 Both 9 Not stated Chemical used Chemical used Chemical used Chemical used Chemical used If "Chemical" in "Type of damege prevantion" Type of chemical damaged prevention 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 Did you use fertilizer? 1 Yes 2 No 9 Not stated Did you use Fertilizer Yes - 1 No - 2 Fertilizer type Fertilizer type Fertilizer type Fertilizer type Fertilizer type If "Yes" in "Did you use fertilizer?" What type of fertilier used? 1 Natural 2 Chemical 3 Both 9 Not stated If yes in column 7 Type of fertilizer Natural - 1 Chemical - 2 Both - 3 Reason for not using chemical fertilizer Reason for not using chemical fertilizer Reason for not using chemical fertilizer Reason for not using chemical fertilizer Reason for not using chemical fertilizer Reason for not using chemical fertilizer 1 Not aware 2 Too expensive 3 No money 4 Not available 5 No credit 6 Not good 7 Others 9 Not stated Chemical fertilizer type Chemical fertilizer type Chemical fertilizer type Chemical fertilizer type Chemical fertilizer type If chemical (commercial) fertilizer used 1 Urea 2 Dap 3 Both 9 Not stated Chemical fertilizer amount Chemical fertilizer amount Chemical fertilizer amount Chemical fertilizer amount Chemical fertilizer amount Quantity of chemical fertilizer in kg 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 Compost 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 Land use only 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 100 Single crop 999 999 Area measure - day Area measure - day Area measure - day Area measure - day Area measure - day The field or other land use date of measurement - date Area measure - month Area measure - month Area measure - month Area measure - month Area measure - month The field or other land use date of measurement - 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 Local area measurement unit Local area measurement unit Local area measurement unit Local area measurement unit Local area measurement unit Local area measurement unit Local area amount Local area amount Local area amount Local area amount Local area amount Local area amount Reason if area measurment was not conducted Reason if area measurment was not conducted Reason if area measurment was not conducted Reason if area measurment was not conducted Reason if area measurment was not conducted Reason if area Measurment not conducted 1 Not in farmers' association 2 Can't read bearing 3 Holder refused 4 Others 5 Measured 99 Not stated Enumerator area (in SQ M) Enumerator area (in SQ M) Enumerator area (in SQ M) Enumerator area (in SQ M) Enumerator area (in SQ M) Enumerator area (in SQ M) Computer computed area (in SQ M) Computer computed area (in SQ M) Computer computed area (in SQ M) Computer computed area (in SQ M) Computer computed area (in SQ M) Computer computed area (in SQ M) Area (in Hectars) Area (in Hectars) Area (in Hectars) Area (in Hectars) Area (in Hectars) Area (in Hectars) Local production measurement unit Local production measurement unit Local production measurement unit Local production measurement unit Local production measurement unit Local production measurement 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 Dry weight production (in KG) Dry weight production (in KG) Dry weight production (in KG) Dry weight production (in KG) Dry weight production (in KG) Dry weight production (in KG) new prod new prod new prod new prod new prod Household id Household id Household id Household id Household id Household id Region Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromiya 5 Somalie 6 Benshangul 7 SNNP 12 Gambela 13 Harari 14 Addis ababa 15 Dire dawa Zone Zone Zone Zone Zone Zone District District District District District District (wereda) Town Town Town Town Town Town 8 Rural Keftegna Keftegna Keftegna Keftegna Keftegna Keftegna 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 number Household number Household number Household number Household number Household number Holder number Holder number Holder number Holder number Holder number Holder number Holder weight Holder weight Holder weight Holder weight Holder weight Holder weight Holder ratio Holder ratio Holder ratio Holder ratio Holder ratio Holder ratio Type of holding Type of holding Type of holding Type of holding Type of holding Type of holding 1 Crop only 2 Livestock only 3 Crop & livestock 9 Not stated Holder age Holder age Holder age Holder age Holder age Holder age 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 Holder sex Holder sex Holder sex Holder sex Holder sex Holder sex 1 Male 2 Female Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) 1 Illiterate 2 No formal education 3 Grade 1 4 Grade 2 5 Grade 3 6 Grade 4 7 Grade 5 8 Grade 6 9 Grade 7 10 Grade 8 11 Grade 9 12 Grade 10 13 Grade 11 14 Grade 12 15 More than grade 12 99 Not stated Household size Household size Household size Household size Household size Household Size 1 1 2 2 Household id Household id Household id Household id Household id Household id Region Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromiya 5 Somalie 6 Benshangul 7 SNNP 12 Gambela 13 Harari 14 Addis ababa 15 Dire dawa Zone Zone Zone Zone Zone Zone District District District District District District (wereda) Town Town Town Town Town Town Kefetenga Kefetenga Kefetenga Kefetenga Kefetenga Keftegna Farmers association /kebele Farmers association /kebele Farmers association /kebele Farmers association /kebele Farmers association /kebele Farmers association Enumeration area Enumeration area Enumeration area Enumeration area Enumeration area Enumeration area Household number Household number Household number Household number Household number Household number Person weight Person weight Person weight Person weight Person weight Person weight Person ratio Person ratio Person ratio Person ratio Person ratio Person ratio Person serial number Person serial number Person serial number Person serial number Person serial number Person serial number For all members of agricultural household Holder member of the household Holder member of the household Holder member of the household Holder member of the household Holder member of the household Is a holder member of the household? For all members of agricultural household 1 Yes 2 No 9 Not stated Holder number Holder number Holder number Holder number Holder number If code 1 in column 3 Holder number For all members of agricultural household Type of holding for the holder Type of holding for the holder Type of holding for the holder Type of holding for the holder Type of holding for the holder If code 1 in column 3 Type of holding for the holder For all members of agricultural household 1 Crop only 2 Livestock only 3 Crop & livestock 9 Not stated Holder sex Holder sex Holder sex Holder sex Holder sex Holder sex For all members of agricultural household 1 Male 2 Female 9 Not stated Relation to the head of the household Relation to the head of the household Relation to the head of the household Relation to the head of the household Relation to the head of the household Relation to the head of the household For all members of agricultural household 1 Head 2 Spouse 3 Son/ daughter of head & spouse 4 Son/ daughter of head 5 Son/ daughter of spouse 6 Mother/father of head/ spouse 7 Sister/ brother of head/spouse 8 Other relatives 9 Non relatives 99 Not stated Holder age Holder age Holder age Holder age Holder age Holder age For all members of agricultural household 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 93 93 94 94 95 95 96 96 97 97 98 98 99 99 In completed years Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Educational attainment (highest grade completed) Education status of holder For all members age 5 years and above 1 Illiterate 2 No formal education 3 Grade 1 4 Grade 2 5 Grade 3 6 Grade 4 7 Grade 5 8 Grade 6 9 Grade 7 10 Grade 8 11 Grade 9 12 Grade 10 13 Grade 11 14 Grade 12 15 More than grade 12 99 Not stated Marital status Marital status Marital status Marital status Marital status Marital status For all members age 10 years and above 1 Never married 2 Married 3 Divorced 4 Widowed 9 Not stated Economically active Economically active Economically active Economically active Economically active Were you engaged in economic activity during the last 12 months? For all members age 10 years and above 1 Yes 2 No 9 Not stated Reason for not active Reason for not active Reason for not active Reason for not active Reason for not active If "No" in column 11 If not engaged in economic activity, what was the main reason? For all members age 10 years and above 1 Student 2 HH activities/ Home maker 3 Disabled/ Handicap 4 Retired/ Old age/Penssion 5 Other Main activity Main activity Main activity Main activity Main activity If "Yes" in column 11 If engaged in economic activity, what was the major activity? For all members age 10 years and above 1 Fully agriculture 2 Partly agriculture 3 Not agriculture 9 Not stated Employment status Employment status Employment status Employment status Employment status If in column 13 is code 1 or 2 Employment status For all members age 10 years and above 1 Employer 2 Own account worker 3 Employee 4 Unpaid worker 5 Other