DDI_ETH_2009_AgSS_v02_M Central Statistical Agency International Household Survey Network 2010-05-10 NADA Version 02: Adopted from "DDI-ETH-CSA-AgSS-2009-v1.1" DDI, which was done by Ethiopian Central Statistical Agency. Agricultural Sample Survey 2009-2010 (2002 E.C) AgSS 2009-10 ETH_2009_AgSS_v01_M Central Statistical Agency NADA Government of Ethiopia Data Administrator Agricultural Survey [ag/oth] Version 1.0: Edited and non anonymized dataset, for internal use only. The general objective of CSA's Agricultural Sample Survey (AgSS) is to collect basic quantitative information on the country's agriculture that is essential for planning, policy formulation, monitoring and evaluation of mainly food security and other agricultural activities. The AgSS is composed of four components: Crop Production Forecast Survey, Meher Season Post Harvest Survey (Area and production, land use, farm management and crop utilization), Livestock Survey and Belg Season Survey. The specific objectives of Meher Season Post Harvest Survey are to estimate the total crop area, volume of crop production and yield of crops for Meher Season agriculture in Ethiopia. The report is based on private peasant holdings in rural sedentary areas of the country and part of companion reports on the performance of agriculture in the country. The report is compiled at national and regional level only. Ethiopia The 2009-2010 (2002 E.C) annual Agricultural Sample Survey ("Meher" season) covered the entire rural parts of the country except the non-sedentary population of three zones of Afar & six zones of Somali regions. Agricultural household/ Holder/ Crop Agricultural households 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 of Ethiopia SAMPLING FRAME: The list containing EAs of all regions and their respective households obtained from the 1999 E.C cartographic 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 2009/10 agricultural 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. All regions were taken to be the domain of estimation 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 1999 E.C cartographic census frame. From the fresh list of households prepared at the beginning of the survey 20 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. Face-to-face [f2f] The 2009-2010 annual Agricultural Sample Survey used structured questionnaires to collect agricultural information from selected sample households. List of forms in the questionnaires: - AgSS Form 2002/0: It contains forms that used to list all households in the sample areas. - AgSS Form 2002/1: It contains forms that used to list selected agricultural households and holders in the sample areas. - AgSS Form 2002/2A: It contains forms that used to collect information about crops, results of area measurements covered by crops and other land uses. - AgSS Form 2002/2B: It contains forms that used to collect information about miscellaneous questions for the holders. - AgSS Form 2002/4: It contains forms that used to collect information about list of temporary crop fields for selecting crop cutting plots. - AgSS Form 2002/5: It contains forms that used to collect information about list of temporary crop cutting results. ORGANIZATION OF FIELD WORK: The conduct of a survey cannot be executed without the arrangement of fieldwork. In recognition of this, the organization of fieldwork has been entrusted to the Department of Regional Offices and Field Operations that liaises between the Head Office and the 25 Branch Statistical Offices spread across the regions. All Branch Offices took part in the survey execution especially in recruiting the enumerators, organizing the 2nd stage training, assigning the field staff to their sites of enumeration, supervising the data collection and retrieving completed questionnaires and submitting them to the Head Office for data processing. The Branch Offices were also responsible for administering the financial and logistic aspects of the survey within their areas of operation. A total of 1,817 enumerators, 558 field supervisors, 44 coordinators and 65 statisticians were involved in the data collection where on the average one supervisor was assigned to five enumeration areas for supervision of data collection. All the enumerators were supplied with the necessary survey equipment after the completion of the training to ensure the smooth operation of the survey. To facilitate the data collection activities, a total of 164 fourwheel drive vehicles were used. TRAINING OF FIELD STAFF: The execution of a survey and quality of data acquired from the survey highly depend on the type of training given to the enumerators and supervisors and the consequent understanding of the tasks to be performed and the standard procedures to be followed by the enumerators and supervisors in the survey undertaking. The quality and completeness of data are ensured when the training meets its objective of producing responsible and fervent enumerators and supervisors. In light of this point, the training was given to the field staff in two stages. The first stage training, which took place at the Head Quarters of CSA and lasted 7 days targeted staff from the Head Office, statisticians and senior field supervisors from Branch Statistical Offices. The staff that took part in the first stage training was then assigned to conduct similar training for the enumerators and other supervisors for 12 days in all the twenty- five Branch Statistical Offices distributed across the country. In the training the field staffs was given detailed classroom instruction on how to collect data, method of area measurement, interviewing procedures, etc. The training also included field practice to reinforce the understanding of concepts, definitions and theories discussed in the classroom with regard to field measurement, crop cutting GPS reading and interviewing methods. METHOD OF DATA COLLECTION: The agricultural data for the year 2009/10 (2002 E.C) was collected from sedentary rural peasant households by interviewing the selected agricultural holders and physically measuring their crop and other fields. The data obtained were recorded in various forms designed for this purpose. The data obtained were recorded in various forms designed for this purpose. Instruments like measuring tape; compass, kitchen balance, scientific calculators, GPS (Oromiya region only) and others were used during data collection for a timely and smooth acquisition of accurate data. The procedures for measuring area under crop and area of non - crop fields operated by the holders were performed for the 30 selected households from each sampled E.A. using measuring tapes and compasses. a) Editing, Coding and Verification: Statistical data editing plays an important role in ensuring the quality of the collected survey data. It minimizes the effects of errors introduced while collecting data in the field, hence the need for data editing, coding and verification. Although coding and editing are done by the enumerators and supervisors in the field, respectively, verification of this task is done at the Head Office. An editing, coding and verification instruction manual was prepared and reproduced for this purpose. Then 66 editorscoders and verifiers were trained for two days in editing, coding and verification using the aforementioned manual as a reference and teaching aid. The completed questionnaires were edited, coded and later verified on a 100 % basis before the questionnaires were passed over to the data entry unit. The editing, coding and verification exercise of all questionnaires took 18 days. b) Data Entry, Cleaning and Tabulation: Before data entry, the Natural Resources and Agricultural Statistics Department of the CSA prepared edit specification for the survey for use on personal computers for data consistency checking purposes. The data on the edited and coded questionnaires were then entered into personal computers. The data were then checked and cleaned using the edit specifications prepared earlier for this purpose. The data entry operation involved about 70 data encoders, 10 data encoder supervisors, 12 data cleaning operators and 55 personal computers. The data entered into the computers using the entry module of the CSPRO (Census and Survey Processing System) software, which is a software package developed by the United States Bureau of the Census. Following the data entry operations, the data was further reviewed for data inconsistencies, missing data … etc. by the regular professional staff from Natural Resources and Agricultural Statistics Department. The final stage of the data processing was to summarizing the cleaned data and produce statistical tables that present the results of the survey using the tabulation component of the PC based CSPRO software produced by professional staff from Data processing Department. A total of 1,660 Enumeration Areas (EAs) were selected. However, due to various reasons that are beyond control, in 25 EAs the survey could not be successful and hence interrupted. Thus, all in all the survey succeeded to cover 1,635 EAs (98.5 %) throughout the regions. The Annual Agricultural Sample survey (Meher season) was conducted on the basis of 20 agricultural households selected from each EA. Regarding the ultimate sampling units, it was intended to cover a total of 33,200 agricultural households, however, 32,630 (98.3 %) were actually covered by the 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 report. Distribution of sampling units (sampled and covered EAs and households) by stratum is also presented in Appendix-III. Central Statistical Agency of Ethiopia The following statement must be used as citation: "Central Statistical Authority of Ethiopia (CSA). Agricultural Sample Survey (AgSS 2009-2010) " 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. Holder Information - 2002 The file contains data related to Holder information and it is Part I of the Form AgSS 2002/2A of the Meher season questionnaire. 0 15 Field Information - 2002 The file contains data related to Crop and other landuses and it is Part II of the Form AgSS 2002/2A of the Meher season questionnaire. 0 43 Oromia Field Information + GPS - 2002 0 45 Crop Product Utilization - 2002 0 17 Livestock Product Utilization - 2002 0 15 Mescellaneous - 2002 0 22 Region Region Region Region Region 1 Tigray 2 Afar 3 Amhara 4 Oromiya 5 Somalie 6 Benishangul Gumuz 7 SNNPR 12 Gambella 13 Harari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex 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 Sex 1 Male 2 Female Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Education (Highest Grade) Household Size Household Size Household Size Household Size Household Size Household Size Type of Holding Type of Holding Type of Holding Type of Holding Type of Holding Type of Holding Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Holder Ratio Region Region Region Region Region 1 Tigray 2 Affar 3 Amhara 4 Oromiya 5 Somali 6 Benishangul Gumuz 7 SNNP 12 Gambella 13 Harari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Parcel Parcel Parcel Parcel Parcel Field Field Field Field Field Sampling Weight Sampling Weight Sampling Weight Sampling Weight Sampling Weight Sampling Weight Field Type Field Type Field Type Field Type Field Type Field Type Crop or Landuse Crop or Landuse Crop or Landuse Crop or Landuse Crop or Landuse Crop or Landuse 1 BARLEY 2 MAIZE 3 MILLET 4 OATS 5 RICE 6 SORGHUM 7 TEFF 8 WHEAT 9 ROMAN 10 KASAVA 11 CHICK PEAS 12 HARICOT BEANS 13 HORSE BEANS 14 LENTILS 15 FIELD PEAS 16 VETCH 17 GIBTO 18 SOYA BEANS 19 CACTUS 20 FENNEL 21 CASTOR BEANS 22 COTTON SEED 23 LINESEED 24 GROUND NUTS 25 NUEG 26 RAPE SEED 27 SESAME 28 SUNFLOWER 29 MEGO 30 SAVORY 31 BLACK CUMIN 32 BLACK PEPPER 33 CARDAMON 34 CHILIES 35 CINNAMON 36 FENUGREEK 37 GINGER 38 RED PEPPER 39 TUMERIC 40 WHITE LUMIN 41 APPLES 42 BANANAS 43 GRAPES 44 LEMONS 45 MANDARINS 46 MANGOES 47 ORANGES 48 PAPAYA 49 PINAPPLES 50 CITION/'TRINGO' 51 BEET ROOT 52 CABBAGE 53 CARROT 54 CAULIFLOWER 55 GARLIC 56 KALE 57 LETTUCE 58 ONION 59 GREEN PEPPER 60 POTATOES 61 PUMPKINS 62 SWEET POTATOES 63 TOMATOES 64 GODERE 65 GUAVA 66 PEACH 67 MUSTARD 68 FETO 69 SPINACH 70 GREEN BEANS 71 CHAT 72 COFFEE 73 COTTON 74 ENSET 75 GESHO 76 SUGAR CANE 77 TEA 78 TOBACCO 79 CORIANDER 80 SACRED BASIL 81 RUE 82 GISHITA 83 WATERMELON 84 AVOCADOS 85 GRAZING LAND 86 FALLOW LAND 87 HOMESTEAD 88 BARN 89 WOOD LAND 90 MARSH 91 POND WATER 92 TEMPORARY CROP 93 PERMANENT CROP 94 TEMPORARY GRAZING 95 PERMANENT GRAZING 96 NL1OF 97 PIJAPIN 98 OTHER ROOT CROPS 99 OTHER LAND 100 NL2OF 101 WECHINO 102 TINKISH 103 WEPAL 104 KEENKECH 105 BUYA 106 DATES 107 ACHINO 108 AMBOSHIKA 109 SISAL 110 GIRAMTA 111 'KOMTATE' 112 KAZMIR 113 STRAWBERRY 114 SHIFERAW 115 OTHER FRUITS 116 TIMIZ KIMEM 118 OTHER PULSES 119 OTHER OIL SEEDS 120 OTHER CEREALS 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 water for irrigation Source of water for irrigation Source of water for irrigation Source of water for irrigation Source of water for irrigation Source of water for irrigation 1 River 2 Lake 3 Pond 4 Water Harvesting 5 Other Soil Erosion Soil Erosion Soil Erosion Soil Erosion Soil Erosion Soil Erosion 1 yes 2 No 9 Nt stated Measure taken to soil erosion Measure taken to soil erosion Measure taken to soil erosion Measure taken to soil erosion Measure taken to soil erosion Measure taken to soil erosion 1 Terracing 2 Water Catchments 3 Afforestation 4 Counter ploughing 5 Others Number of Trees Number of Trees Number of Trees Number of Trees Number of Trees Number of Trees 99999 Not Stated 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 Number of Trees of Bearing Age 99999 Not Stated 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 seed 13 Depletion of soi 14 Security problem 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 & Her 5 Insectcide & Fun 6 Herbicide & Fung 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 Type of Chemical fertiluzer Used? Type of Chemical fertiluzer Used? Type of Chemical fertiluzer Used? Type of Chemical fertiluzer Used? Type of Chemical fertiluzer Used? Type of Chemical fertiluzer Used? 1 Urea 2 DAP 3 Both 9 Not stated If Chemical Fertilizer,Quantity in KG If Chemical Fertilizer,Quantity in KG If Chemical Fertilizer,Quantity in KG If Chemical Fertilizer,Quantity in KG If Chemical Fertilizer,Quantity in KG If Chemical Fertilizer,Quantity in KG 9999.99 Not stated Type of Natural fertilizer Type of Natural fertilizer Type of Natural fertilizer Type of Natural fertilizer Type of Natural fertilizer Type of Natural fertilizer 1 Manure 2 Humese/besebash 3 Both 4 Others 9 Not stated How many times do you produce crops How many times do you produce crops How many times do you produce crops How many times do you produce crops How many times do you produce crops How many times do you produce crops Crop Crop Crop Crop Crop Crop What was the field used for? What was the field used for? What was the field used for? What was the field used for? What was the field used for? What was the field used for? APERCENT APERCENT APERCENT APERCENT APERCENT APERCENT Land use only 100 Single crop Closer ERROR Closer ERROR Closer ERROR Closer ERROR Closer ERROR Closer ERROR AREAH AREAH AREAH AREAH AREAH AREAH PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS Region Region Region Region Region 1 Tigray 2 Affar 3 Amhara 4 Oromiya 5 Somali 6 Benishangul-Gumuz 7 SNNP 12 Gambella 13 Harari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Parcel Parcel Parcel Parcel Parcel Field Field Field Field Field GWEIGHT GWEIGHT GWEIGHT GWEIGHT GWEIGHT Crop/Other Land use Code Crop/Other Land use Code Crop/Other Land use Code Crop/Other Land use Code Crop/Other Land use Code First Measured Area in SqM First Measured Area in SqM First Measured Area in SqM First Measured Area in SqM First Measured Area in SqM First Measured Area in SqM Second Measured Area in SqM Second Measured Area in SqM Second Measured Area in SqM Second Measured Area in SqM Second Measured Area in SqM Second Measured Area in SqM Land Topography Code Land Topography Code Land Topography Code Land Topography Code Land Topography Code Fence in the field Fence in the field Fence in the field Fence in the field Fence in the field AREAH AREAH AREAH AREAH AREAH PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS PRODUCTION IN QUINTALS fldtype fldtype fldtype fldtype fldtype OWNTYPE OWNTYPE OWNTYPE OWNTYPE OWNTYPE 1 Private 2 Rent/leased 3 Other EXT EXT EXT EXT EXT 1 Yes 2 No IRRG IRRG IRRG IRRG IRRG 1 Yes 2 No SIRRG SIRRG SIRRG SIRRG SIRRG SERRO SERRO SERRO SERRO SERRO MERRO MERRO MERRO MERRO MERRO TREES TREES TREES TREES TREES 99999 Not Stated TREESBA TREESBA TREESBA TREESBA TREESBA 99999 Not Stated SEEDTYPE SEEDTYPE SEEDTYPE SEEDTYPE SEEDTYPE 1 Improved 2 Non_improved WTIMSEED WTIMSEED WTIMSEED WTIMSEED WTIMSEED 9999.999 Not stated COSTIMPS COSTIMPS COSTIMPS COSTIMPS COSTIMPS 99999.99 Not stated WTNISEED WTNISEED WTNISEED WTNISEED WTNISEED 9999.999 Not stated DAMAGE DAMAGE DAMAGE DAMAGE DAMAGE 1 Yes 2 No DREASON DREASON DREASON DREASON DREASON 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 seed 13 Depletion of soi 14 Security problem 15 Other DPERCENT DPERCENT DPERCENT DPERCENT DPERCENT 999 Not Stated DMEASURE DMEASURE DMEASURE DMEASURE DMEASURE 1 Yes 2 No DMTYPE DMTYPE DMTYPE DMTYPE DMTYPE 1 Chemical 2 Non_chemical 3 Both DMCHEM DMCHEM DMCHEM DMCHEM DMCHEM 1 Insecticide 2 Herbicide 3 Fungicide 4 Insectcide & Her 5 Insectcide & Fun 6 Herbicide & Fung 7 All 9 Not stated FERT FERT FERT FERT FERT 1 Yes 2 No FERTTYPE FERTTYPE FERTTYPE FERTTYPE FERTTYPE 1 Natural 2 Chemical 3 Both D22A D22A D22A D22A D22A 1 Urea 2 DAP 3 Both 9 Not stated D22B D22B D22B D22B D22B 9999.99 Not stated D23 D23 D23 D23 D23 1 Manure 2 Humese/besebash 3 Both 4 Others 9 Not stated D24 D24 D24 D24 D24 D25A D25A D25A D25A D25A D26 D26 D26 D26 D26 Region Region Region Region Region 1 Tigray 2 Affar 3 Amhara 4 Oromiya 5 Somali 6 Benishangul-Gumuz 7 SNNP 12 Gambella 13 Harari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Serial Number Serial Number Serial Number Serial Number Serial Number Serial Number Crop Code Crop Code Crop Code Crop Code Crop Code Crop Code Own Consumption Own Consumption Own Consumption Own Consumption Own Consumption For Seed For Seed For Seed For Seed For Seed For Sale For Sale For Sale For Sale For Sale For Wage For Wage For Wage For Wage For Wage For Animal Feed For Animal Feed For Animal Feed For Animal Feed For Animal Feed For Others For Others For Others For Others For Others Total Total Total Total Total Region Region Region Region Region 1 Tigray 2 Affar 3 Amhara 4 Oromiya 5 Somali 6 Benishangul-Gumuz 7 SNNP 12 Gambella 13 Harari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Serial Number Serial Number Serial Number Serial Number Serial Number Livestock Code Livestock Code Livestock Code Livestock Code Livestock Code Own Consumption Own Consumption Own Consumption Own Consumption Own Consumption For Sale For Sale For Sale For Sale For Sale For Wage For Wage For Wage For Wage For Wage For Others For Others For Others For Others For Others Total Total Total Total Total Region Region Region Region Region 1 Tigray 2 Affar 3 Amhara 4 Oromiya 5 Somali 6 Benishangul-Gumuz 7 SNNP 12 Gambella 13 Harrari 14 Addis Ababa 15 Dire Dawa Zone Zone Zone Zone Zone District District District District District Farmers Association Farmers Association Farmers Association Farmers Association Farmers Association Enumeration Area Enumeration Area Enumeration Area Enumeration Area Enumeration Area Household Id Household Id Household Id Household Id Household Id Head sex Head sex Head sex Head sex Head sex Holder id Holder id Holder id Holder id Holder id Crop Rotation Used? Crop Rotation Used? Crop Rotation Used? Crop Rotation Used? Crop Rotation Used? 1 Yes 2 No Reason for not using chemicals Reason for not using chemicals Reason for not using chemicals Reason for not using chemicals Reason for not using chemicals 1 Ignoracnce 2 High price 3 Lack of money 4 Supply is unavailable 5 Lack of credit service 6 Skeptical of the outcome 7 Others Reason for not using extention Reason for not using extention Reason for not using extention Reason for not using extention Reason for not using extention 1 Ignorance 2 Lack of money 3 Skeptical of the program 4 Programs unavailable 5 Lack of adequate crop fields 6 Others Credit used? Credit used? Credit used? Credit used? Credit used? 1 Yes 2 No Reason for not using credit facility Reason for not using credit facility Reason for not using credit facility Reason for not using credit facility Reason for not using credit facility 1 Service is not available 2 Unable to pay the loan 3 Inadequate service provided 4 Ignorance 5 Doesn't yield any results 6 Others Consultation used? Consultation used? Consultation used? Consultation used? Consultation used? 1 Yes 2 No Reason for not using consultation Reason for not using consultation Reason for not using consultation Reason for not using consultation Reason for not using consultation 1 Service is not available 2 Inadequate service provided 3 Ignorance 4 Doesn't yield any results 5 Others Where do you buy chemical fertilizer Where do you buy chemical fertilizer Where do you buy chemical fertilizer Where do you buy chemical fertilizer Where do you buy chemical fertilizer 1 Government organizations 2 Private organizatons 3 Merchants 4 Others 5 Never used fertilizer How many plowing oxen do you have? How many plowing oxen do you have? How many plowing oxen do you have? How many plowing oxen do you have? How many plowing oxen do you have? What do you use to plow if you don't have enough oxen? What do you use to plow if you don't have enough oxen? What do you use to plow if you don't have enough oxen? What do you use to plow if you don't have enough oxen? What do you use to plow if you don't have enough oxen? 1 By renting ox 2 By pairing mine with someone's ox 3 By pairing mine with cow/horse 4 Using horses or cows 5 Hand digging 6 Using borrowed oxen 7 Others Total number of fields do you have Total number of fields do you have Total number of fields do you have Total number of fields do you have Total number of fields do you have Total crop land fields Total crop land fields Total crop land fields Total crop land fields Total crop land fields Do you cultivate additional fields? Do you cultivate additional fields? Do you cultivate additional fields? Do you cultivate additional fields? Do you cultivate additional fields? 1 Yes 2 No What was the new fields before? What was the new fields before? What was the new fields before? What was the new fields before? What was the new fields before? 1 Holder's virgin land 2 Public/community virgin land 3 Borrowed fallow land 4 Other