TZA-NBS-AGRSCS-2002-2003v01 National Bureau of Statistics Office of Chief Government Statistician in Zanzibar Accelerated Data Program 2010-04-28 NADA Version 1.0(March 2010) Agriculture Sample Census Survey 2002-2003 ASCS 2002 TZA-NBS-ASCC-2002-v01 National Bureau of Statistics Office of Chief Government Statistician-Zanzibar

Planning group

Ultec Lawrence Gould

Scotts Agriculture Consultancy LTD

Ministry of Agriculture and Food Security Ministry of Water and Livestock Development Ministry of Cooperatives and Marketing Presidents Office, Regional Administration and Local Government Ministry of Finance and Economic Affairs Food and Agriculture Organisation (c) 2002, National Bureau of Statistics NADA Tanzania Government United Nation Development Program Department for International Development Japan Government European Union Director General Agricultural Census [ag/census] This is the third Agriculture Census to be carried out in Tanzania, the first one was conducted in 1971/1972, the second in 1993/1994 and 1994/1995(during1993/95 data on household characteristics and livestock count were collected and data on crop area and production in 1994/95). It considered that, this census is is one of the largest to be carried out in Africa and in many other countries of the world. Version 01(Public use file for web dissemination) TRADE, INDUSTRY AND MARKETS [2] TRADE, INDUSTRY AND MARKETS [2] The 2003 Agriculture Sample Census was designed to meet the data needs of a wide range of users down to district level including policy makers at local, regional and national levels, rural development agencies, funding institutions, researchers, NGOs, farmer organisations, etc. As a result the dataset is both more numerous in its sample and detailed in its scope compared to previous censuses and surveys. To date this is the most detailed Agricultural Census carried out in Africa. The census was carried out in order to: ·Identify structural changes if any, in the size of farm household holdings, crop and livestock production, farm input and implement use. It also seeks to determine if there are any improvements in rural infrastructure and in the level of agriculture household living conditions; ·Provide benchmark data on productivity, production and agricultural practices in relation to policies and interventions promoted by the Ministry of Agriculture and Food Security and other stake holders. ·Establish baseline data for the measurement of the impact of high level objectives of the Agriculture Sector Development Programme (ASDP), National Strategy for Growth and Reduction of Poverty (NSGRP) and other rural development programs and projects. ·Obtain benchmark data that will be used to address specific issues such as: food security, rural poverty, gender, agro-processing, marketing, service delivery, etc. Tanzania Tanzania Mainland and Zanzibar Clusters Household, Individual Small scale farmers, Large Scale Farmers, Community Level Sample survey data [ssd] The census covered agriculture in detail as well as many other aspects of rural development and was conducted using three different questionnaires: ·Small scale farm questionnaire ·Community level questionnaire ·Large scale farm questionnaire National Bureau of Statistics The Mainland sample consisted of 3,221 villages. These villages were drawn from the National Master Sample (NMS) developed by the National Bureau of Statistics (NBS) to serve as a national framework for the conduct of household based surveys in the country. The National Master Sample was developed from the 2002 Population and Housing Census. The total Mainland sample was 48,315 agricultural households. In Zanzibar a total of 317 EAs were selected and 4,755 agriculture households were covered. Nationwide, all regions and districts were sampled except three urban district (two from Mainland and one from Zanzibar). In both Mainland and Zanzibar, a stratified two stage sample was used. The number of villages/Enumeration Areas (EAs) were selected for the first stage with a probability proportional to the number of villages in each district. In the second stage, 15 households were selected from a list of farming households in each Village/EA using systematic random sampling. Table 1.1 gives the sample size of households, villages and districts for Tanzania Mainland and Zanzibar. 1.3.4Questionnaire Design and Other Census Instruments The questionnaires were designed following user meetings to ensure that the questions asked were in line with users data needs. Several features were incorporated into the design of the questionnaires to increase the accuracy of the data: · Where feasible all variables were extensively coded to reduce post enumeration coding error. ·The definitions for each section were printed on the opposite page so that the enumerator could easily refer to the instructions whilst interviewing the farmer. ·The responses to all questions were placed in boxes printed on the questionnaire, with one box per character. This feature made it possible to use scanning and Intelligent Character Recognition (ICR) technologies for data entry. ·Skip patterns were used to reduce unnecessary and incorrect coding of sections which do not apply to the respondent. ·Each section was clearly numbered, which facilitated the use of skip patterns and provided a reference for data type coding for the programming of CSPro, SPSS and the dissemination applications. Three other instruments were used: ·Village Listing Forms were used for listing households in the village and from this list a systematic sample of 15 agricultural households were selected. ·A Training Manual which was used by the trainers for the cascade/pyramid training of supervisors and enumerators ·Enumerator Instruction Manual which was used as reference material. 1.3.5Field Pre-testing of the Census Instruments The Questionnaire was pre-tested in five locations (Arusha, Dodoma, Tanga, Unguja and Pemba). This was done to test the wording, flow and relevance of the questions and to finalise crop lists, questionnaire coding and manuals. In addition to this, several data collection methodologies had to be finalised, namely, livestock numbers in pastoralist communities, cut flower production, mixed cropping, use of percentages in the questionnaire and finalising skip patterns and documenting consistency checks. Face-to-face [f2f] The census covered agriculture in detail as well as many other aspects of rural development and was conducted using three different questionnaires: ·Small scale farm questionnaire ·Community level questionnaire ·Large scale farm questionnaire The small scale farm questionnaire was the main census instrument and includes questions related to crop and livestock production and practices; population demographics; access to services, resources and infrastructure; and issues on poverty, gender and subsistence versus profit making production units. The main topics covered were: ·Household demographics and activities of the household members ·Land access/ownership/tenure and use ·Crop and livestock production and productivity ·Access to inputs and farming implements ·Access and use of credit ·Access to infrastructure (roads, district and regional headquarters, markets, advisory services, schools, hospitals, veterinary clinics, etc...) ·Crop marketing, storage and agro processing ·Tree farming, agro-forestry and fish farming ·Access and use of communal resources (grazing, communal forest, water for humans and livestock, beekeeping etc.) ·Investment activities: Irrigation structures, water harvesting, erosion control, fencing, etc. ·Off farm income and non agriculture related activities ·Households living conditions (housing, sanitary facilities, etc.) ·Labour use, livelihood constraints and subsistence versus non subsistence activities ·Gender issues. The community level questionnaire was designed to collect village level data such as access and use of common resources, community tree plantations and seasonal farm gate prices. The large scale farm questionnaire was administered to large farms which were either privately or corporately managed. Some data from the large scale farm questionnaire are incorporated in this report, however an in depth analysis of large scale farms is presented in a separate report. Data collection activities for the 2002/03 Agriculture Sample Census took three months from January to March 2004. The data collection methods used during the census was by interview only. No physical measurements, e.g., crop cutting and field area measurement, were taken. Field work was monitored by a hierarchical system of supervisors at the top of which was the Mobile Response Team followed by the Regional Supervisors and District Supervisors. The Mobile Response Team consisted of three Principal Supervisors who provided overall direction to the field operations and responded to queries raised outside the scope of the training exercise. The mobile response team consisted of the Manager of Agriculture Statistics Department, Long-term Consultant and the Desk Officer for the Census. Decisions made on definitions and procedures were then communicated back to all enumerators via the Regional and District Supervisors. On the Mainland district supervision and enumeration were done by staff from the President's Office, Regional Administration and Local Government (PORALG). Regional and national supervision was provided by senior staff of the National Bureau of Statistics and the sector ministries of agriculture. In Zanzibar the enumeration was done by staff from the Ministry of Agriculture, Natural Resources, Environment and Cooperatives. Supervision was provided by senior officers of the same ministry and the Office of the Chief Government Statistician. During the household listing exercise, 3,222 extension staff were used on the Mainland and 317 in Zanzibar. For the enumeration of the small holder questionnaire, 1,611 enumerators on Mainland and 158 in Zanzibar were used. An additional five percent of the total number of enumerators was held in reserve in case of drop outs during the enumeration exercise. 1.3.9Field Supervision and Consistency Checks Enumerators were trained to probe the respondents until they were satisfied with the responses given before they recorded them in the questionnaire. The first check of the questionnaires was done by enumerators in the field during enumeration. The second check was done by the district supervisors followed by Regional and National Supervisors. Supervisory visits at all levels of supervision focused on consistency checking of the questionnaires. Inconsistencies encountered were corrected, and where necessary a return visit to the respondent was made by the enumerator to obtain the correct information. Further quality control checks were made through a major post enumeration checking exercise where all questionnaires were checked for consistencies by supervisors in the district offices. Enumerators were trained to probe the respondents until they were satisfied with the responses given before they recorded them in the questionnaire. The first check of the questionnaires was done by enumerators in the field during enumeration. The second check was done by the district supervisors followed by Regional and National Supervisors. Supervisory visits at all levels of supervision focused on consistency checking of the questionnaires. Inconsistencies encountered were corrected, and where necessary a return visit to the respondent was made by the enumerator to obtain the correct information. Further quality control checks were made through a major post enumeration checking exercise where all questionnaires were checked for consistencies by supervisors in the district offices. The weight for Agriculture sample Census Survey 2002-2003 found in Technical Report from page (17) to page (20) Data processing consisted of the following processes: ·Data entry ·Data structure formatting ·Batch validation ·Tabulation Data Entry Scanning and ICR data capture technology for the small holder questionnaire were used on the Mainland. This not only increased the speed of data entry, it also increased the accuracy due to the reduction of keystroke errors. Interactive validation routines were incorporated into the ICR software to track errors during the verification process. The scanning operation was so successful that it is highly recommended for adoption in future censuses/surveys. In Zanzibar all data was entered manually using CSPro. Prior to scanning, all questionnaires underwent a manual cleaning exercise. This involved checking that the questionnaire had a full set of pages, correct identification and good handwriting. A score was given to each questionnaire based on the legibility and the completeness of enumeration. This score will be used to assess the quality of enumeration and supervision in order to select the best field staff for future censuses/surveys. CSPro was used for data entry of all Large Scale Farm and community based questionnaires due to the relatively small number of questionnaires. It was also used to enter data from the 2,880 small holder questionnaires that were rejected by the ICR extraction application. Data Structure Formatting A program was developed in visual basic to automatically alter the structure of the output from the scanning/extraction process in order to harmonise it with the manually entered data. The program automatically checked and changed the number of digits for each variable, the record type code, the number of questionnaires in the village, the consistency of the Village ID Code and saved the data of one village in a file named after the village code. Batch Validation A batch validation program was developed in order to identify inconsistencies within a questionnaire. This is in addition to the interactive validation during the ICR extraction process. The procedures varied from simple range checking within each variable to the more complex checking between variables. It took six months to screen, edit and validate the data from the smallholder questionnaires. After the long process of data cleaning, tabulations were prepared based on a pre-designed tabulation plan. Tabulations Statistical Package for Social Sciences (SPSS) was used to produce the Census tabulations and Microsoft Excel was used to organize the tables and compute additional indicators. Excel was also used to produce charts while ArcView and Freehand were used for the maps. Analysis and Report Preparation The analysis in this report focuses on regional comparisons, time series and national production estimates. Microsoft Excel was used to produce charts; ArcView and Freehand were used for maps, whereas Microsoft Word was used to compile the report. Data Quality A great deal of emphasis was placed on data quality throughout the whole exercise from planning, questionnaire design, training, supervision, data entry, validation and cleaning/editing. As a result of this, it is believed that the census is highly accurate and representative of what was experienced at field level during the Census year. With very few exceptions, the variables in the questionnaire are within the norms for Tanzania and they follow expected time series trends when compared to historical data. Standard Errors and Coefficients of Variation for the main variables are presented in the Technical Report (Volume I). The Sampling Error found on page (21) up to page (22) in the Technical Report for Agriculture Sample Census Survey 2002-2003 Confidentiality of respodents is guaranteed by section 20 of Tanzania Statistics act number 1 of 2002 Before being granted access to the dataset, all users have formally agree: 1.all identifying information such as the name and address of respondent has been removed; and 2.the information is disclosed in a manner that is not likely to enable the identification of the particular person or undertaking or business to which it relates. 3.not attempt to identify any particular person or undertaking or business; 4.use of information for research or statistically purpose only; 5.not to disclose the information to any other person, organization 6.when required by the Director General, return all documents made available to him to the Director General; 7.comply with the directions given by the Director General relating to the records. 8.every person involved in the research or statistical project for which information is disclosed pursuant to this section shall make the declaration of secrecy set out in the first schedule. National Bureau of Statistics "National Bureau of Statistics, Agriculture Sample Census Survey 2002-2003(AGRSCS 2002-2003), version 1.0 of the public use dataset(March 2004) provided by the National Bureau of Statistics, www.nbs.go.tz" Tanzania NBS considered three levels of accessibility: 1) Public use files, accessible by all 2) Licensed datasets, accessible under certain conditions 3) Datasets only accessible on location, for certain datasets The dataset has been anonymized and available as a public use dataset. It accessible to all for statistical and research purposes only, under the following terms and conditions: 1.The data and other material will not be redistributed or sold to other individuals, institutions, or organization without the written agreement of the National Bureau of Statistics. 2.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. 3.No attempt will be made to produce links among dataset provided by the National Bureau of Statistics, or among data from the (National Bureau of Statistics) and other datasets that could identify individuals or organizations 4.No attempt will be made to re-identify respondents, and no use will be made of the identify of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the National Bureau of Statistics. 5.Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the National Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset. "The user of the data should acknowledges that, National Bureau of Statistics is the original collector of the data , the authorised distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences without a written agreement from the National Bureau of Statistics" R00 This dataset file contains information related to Household information, Agriculture activities, Livestock information. 0 103 R13_1 This dataset file contains information related to use of credit for Agriculture purposes 0 6 R022 This dataset file contains information related to activities of the household 0 8 R092_1 This dataset file contains information related to Goat population, intake and offtake 0 12 R031 This dataset file contains information related to household information 0 18 R041 This dataset file contains information related to land access/ownership/tenure 0 7 R051 This dataset file contains information related to land use 0 9 R061 This dataset file contains information related to access and use of resources 0 10 R071 This dataset file contains information related to annual crop and vegetable production-short rainy season 0 30 R072 This dataset file contains information related to annual crop and vegetable production-long rainy season 0 24 R073 This dataset file contains information related to permanent/perennial crops and fruit tree production 0 21 R076 This dataset file contains information related to main use of secondary products 0 13 R082 This dataset file contains information related to Agroprocessing and by-products 0 19 R092 This dataset file contains information related to crop storage 0 13 R092_1 This dataset file contains information related to Goat population, intake and offtake 0 12 R102 This dataset file contains information related to marketing problem 0 8 R103 This dataset file contains information related to marketing problem 0 8 R112 This dataset file contains information related to erosion control/water harvesting facilities 0 9 R121 This dataset file contains information related to access to farm inputs and implements 0 12 R122 This dataset file contains information related to farm implements and assets used and owned by the household during 2002-2003 0 13 R122_00 This dataset file contains information related to respondent and household head 0 22 R130 This dataset file contains information related to use of credit for agriculture purposes 0 7 R131 This dataset file contains information related to use of credit for agriculture purposes 0 10 R132 This dataset file contains information related to use of credit for agriculture purposes 0 8 R142 This dataset file contains information related to tree farming/agroforestry 0 15 R151 This dataset file contains information related to crop extension services 0 12 R152 This dataset file contains information related to crop extension messages 0 11 R161 This dataset file contains information related to livelihood constraints 0 9 R162 This dataset file contains information related to livelihood constraints 0 9 R171 This dataset file contains information related to Animal contribution to crop production 0 11 R182 This dataset file contains information related to Cattle population, intake and offtake 0 9 R183 This dataset file contains information related to Cattle intake 0 11 R184 This dataset file contains information related to Cattle offtake 0 12 R185 This dataset file contains information related to Cattle diseases 0 12 R186 This dataset file contains information related to Milk production 0 12 R192 This dataset file contains information related to Goat population, intake and offtake 0 10 R193 This dataset file contains information related to Goat intake during 2002/2003 0 11 R194 This dataset file contains information related to Goat offtake 0 12 R195 This dataset file contains information related to Goat diseases 0 12 R196 This dataset file contains information related to Milk production 0 11 R202 This dataset file contains information related to Sheep population, intake and offtake 0 11 R203 This dataset file contains information related to Sheep intake 0 12 R204 This dataset file contains information related to Sheep offtake 0 14 R205 This dataset file contains information related to Sheep diseases 0 12 R212 This dataset file contains information related to Pig population and production 0 7 R213 This dataset file contains information related to Pig increase 0 11 R214 This dataset file contains information related to Pig offtake 0 12 R215 This dataset file contains information related to Pig diseases/pests/conditions 0 12 R220 This dataset file contains information related to Livestock Pest and Parasite control 0 19 R230 This dataset file contains information related to other Livestock 0 11 R240 This dataset file contains information related to Chicken diseases 0 10 R250 This dataset file contains information related to Livestock product 0 10 R260 This dataset file contains information related to the outlets for the sale of Livestock 0 11 R270 This dataset file contains information related to access to functional Livestock Structures/accessories 0 9 R282 This dataset file contains information related to Fish farming 0 17 R291 This dataset file contains information related to Livestock extension 0 9 R292 This dataset file contains information related to Livestock extension service providers 0 11 R311 This dataset file contains information related to labour use 0 8 R321 This dataset file contains information related to subsistence vs non-subsistence 0 10 R331 This dataset file contains information related to subsistence vs non-subsistence 0 10 R332 This dataset file contains information related to Subsistence vs non Subsistence 0 10 Household facilities Household information Annual crop and vegetable short rainy season Annual crop and vegetable long rainy season Permanent/Perennial crops and Fruit tree Production Access to farm inputs and implements Tree farming/Agroforestry Fish farming Crop extension services Livestock population,Intake and offtake Agroprocessing and by-products Farm implements and assets Livestock extension service providers Crop storage Other livestock Subsistence vs NON subsistence Use of credit for agriculture puposes Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of household head? Household 1 Male 2 Female Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of respondent to Household head? Household 1 Head of Household 2 Spouse 3 Son / Daughter 4 Father / Mother 5 Grandchild 6 Other Relative 8 Others (Friends, Employees, etc) Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household? Household 1 Crops Only 2 Livestock Only 3 Pastoralist 4 Crops & Livestock Was all Land Available to the Hh Used During 2002/03? Was all Land Available to the Hh Used During 2002/03? Was all Land Available to the Hh Used During 2002/03? Was all Land Available to the Hh Used During 2002/03? Was all Land Available to the Hh Used During 2002/03? Was all land available to the Household used? Household 1 Yes 2 No Do you Consider that you have sufficient land for the Hh? Do you Consider that you have sufficient land for the Hh? Do you Consider that you have sufficient land for the Hh? Do you Consider that you have sufficient land for the Hh? Do you Consider that you have sufficient land for the Hh? Do you consider that you have sufficient land for the Household? Household 1 Yes 2 No Do any Female Members of the Hh own or have customary right Do any Female Members of the Hh own or have customary right Do any Female Members of the Hh own or have customary right Do any Female Members of the Hh own or have customary right Do any Female Members of the Hh own or have customary right Did any female member of the Household own or have customary right to land? Household 1 Yes 2 No Did the Hh plant any crops during Short Rainy Season? Did the Hh plant any crops during Short Rainy Season? Did the Hh plant any crops during Short Rainy Season? Did the Hh plant any crops during Short Rainy Season? Did the Hh plant any crops during Short Rainy Season? Did the Household plant any crops during the short rain season? Household 1 Yes 2 No If No Give Reason If No Give Reason If No Give Reason If No Give Reason If No Give Reason If the response is no give main reason? Household 1 No Rains 2 Rains Came Too Late 3 Does not Plant Annual Crops 4 No Money 5 Don't Get Vuli Season 6 Illness / Social Problems Main Reason for Difference Between Planned and Planted Area Main Reason for Difference Between Planned and Planted Area Main Reason for Difference Between Planned and Planted Area Main Reason for Difference Between Planned and Planted Area Main Reason for Difference Between Planned and Planted Area Main reason for difference between Area planned and Area planted? Household 1 Drought 2 Floods 3 Access to Land Preparation Tools (Draft Animal / Tractors) 4 Credit 5 Access to Seeds / Planting Material 6 Access to Other Inputs 8 Other 9 Not applicable Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main reason for difference between Area planted and Area harvested? Household 1 Drought 2 Rain / Flood Damage 3 Fire Damage 4 Pest Damage 5 Animal Damage 6 Theft 7 Illness / Social Problems 8 Other 9 Not applicable Did the Hh plant any crop during 2002/03 Long Rainy Season? Did the Hh plant any crop during 2002/03 Long Rainy Season? Did the Hh plant any crop during 2002/03 Long Rainy Season? Did the Hh plant any crop during 2002/03 Long Rainy Season? Did the Hh plant any crop during 2002/03 Long Rainy Season? Did the Household plant any crops during the long Rainy season? Household 1 Yes 2 No If No, Give Main Reason If No, Give Main Reason If No, Give Main Reason If No, Give Main Reason If No, Give Main Reason If the response is no give main reason? Household 1 No Rains 2 Rains Came Too Late 3 Does not Plant Crops 4 No Money 5 Illness / Social Problems Main Reason for Difference Between Planned and Plated Area Main Reason for Difference Between Planned and Plated Area Main Reason for Difference Between Planned and Plated Area Main Reason for Difference Between Planned and Plated Area Main Reason for Difference Between Planned and Plated Area Main reason for difference between Area planned and Area planted? Household 1 Drought 2 Floods 3 Access to Land Preparation Tools (Draft Animal / Tractors) 4 Credits 5 Access to Seeds / Planting Material 6 Access to Other Inputs 8 Other 9 Not applicable Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main Reason for Difference Between Planted and Harvested Are Main reason for difference between Area planted and Area harvested? Household 1 Drought 2 Rain / Flood Damage 3 Fire Damage 4 Pest Damage 5 Animal Damage 6 Theft 7 Illness / Social Problems 8 Other 9 Not applicable Does your Household have any Permanent / Perennial Crops of Does your Household have any Permanent / Perennial Crops of Does your Household have any Permanent / Perennial Crops of Does your Household have any Permanent / Perennial Crops of Does your Household have any Permanent / Perennial Crops of Does your Household have any permanent/perennial crops or fruit trees? Household 1 Yes 2 No Did you use secondary product fro any of crops during 2002/0 Did you use secondary product fro any of crops during 2002/0 Did you use secondary product fro any of crops during 2002/0 Did you use secondary product fro any of crops during 2002/0 Did you use secondary product fro any of crops during 2002/0 Did you use Secondary products from any of your crops during the 2002/03? Household 1 Yes 2 No Did the Hh Process any of the products harvested during 2002 Did the Hh Process any of the products harvested during 2002 Did the Hh Process any of the products harvested during 2002 Did the Hh Process any of the products harvested during 2002 Did the Hh Process any of the products harvested during 2002 Did the Household process any of the products harvested on the farm during 2002/03? Household 1 Yes 2 No Did the hh store any crops during 2002/03? Did the hh store any crops during 2002/03? Did the hh store any crops during 2002/03? Did the hh store any crops during 2002/03? Did the hh store any crops during 2002/03? Did the household store any crops during the 2002/03? Household 1 Yes 2 No Did the Hh Sell any Crops from the 2002/03 season? Did the Hh Sell any Crops from the 2002/03 season? Did the Hh Sell any Crops from the 2002/03 season? Did the Hh Sell any Crops from the 2002/03 season? Did the Hh Sell any Crops from the 2002/03 season? Did the household sell any crops from the 2002/03? Household 1 Yes 2 No What was the main reason for not selling crops? What was the main reason for not selling crops? What was the main reason for not selling crops? What was the main reason for not selling crops? What was the main reason for not selling crops? What was the main reason for not selling crops during 2002/03? Household 1 Price Too Low 2 Production Insufficient to Sell 3 Market Too Far 4 Farmers Association Problems 5 Co-operative Problems 6 Trade Union Problems 7 Government Regulatory Board Problems 8 Other 9 Not applicable Does the Household Practice Irrigation? Does the Household Practice Irrigation? Does the Household Practice Irrigation? Does the Household Practice Irrigation? Does the Household Practice Irrigation? Does the Household practice irrigation? Household 1 Yes 2 No Source of Irrigation Water Source of Irrigation Water Source of Irrigation Water Source of Irrigation Water Source of Irrigation Water Source of irrigation Water? Household 1 River 2 Lake 3 Dam 4 Well 5 Borehole 6 Canal 7 Pipe water Method of Obtaining Water Method of Obtaining Water Method of Obtaining Water Method of Obtaining Water Method of Obtaining Water Method of obtaining water? Household 1 Gravity 2 Hand Bucket 3 Hand Pump 4 Motor Pump 8 Other Method of Application Method of Application Method of Application Method of Application Method of Application Method of application? Household 1 Flood 2 Sprinkler 3 Water Hose 4 Bucket / Watering Can Irrigatable Area Irrigatable Area Irrigatable Area Irrigatable Area Irrigatable Area Irrigatable area(acres)? Household Area Irrigated Land this Year Area Irrigated Land this Year Area Irrigated Land this Year Area Irrigated Land this Year Area Irrigated Land this Year Area of irrigated land this year(acres)? Household Does the Hh have any Erosion Control / Water Harvesting Faci Does the Hh have any Erosion Control / Water Harvesting Faci Does the Hh have any Erosion Control / Water Harvesting Faci Does the Hh have any Erosion Control / Water Harvesting Faci Does the Hh have any Erosion Control / Water Harvesting Faci Does the Household have any erosion control/water harvesting facilities on their land? Household 1 Yes 2 No During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any of the Household member borrow money for agriculture? Household 1 Yes 2 No Source of Credit (A) Source of Credit (A) Source of Credit (A) Source of Credit (A) Source of Credit (A) Give details of the credit obtained during the agricultural year 2002/03? Household 1 Family, Friend and Relative 2 Commercial Bank 3 Co-operative 4 Saving & Credit Society 5 Trader / Trade Store 6 Private Individual 7 Religious Organisation / NGO / Project 8 Other Source of Credit (B) Source of Credit (B) Source of Credit (B) Source of Credit (B) Source of Credit (B) Give details of the credit obtained during the agricultural year 2002/03? Household 1 Family, Friend and Relative 2 Commercial Bank 3 Co-operative 4 Saving & Credit Society 5 Trader / Trade Store 6 Private Individual 7 Religious Organisation / NGO / Project 8 Other Source of Credit (C) Source of Credit (C) Source of Credit (C) Source of Credit (C) Source of Credit (C) Give details of the credit obtained during the agricultural year 2002/03? Household 1 Family, Friend and Relative 2 Commercial Bank 3 Co-operative 4 Saving & Credit Society 5 Trader / Trade Store 6 Private Individual 7 Religious Organisation / NGO / Project 8 Other Provided to (A) Provided to (A) Provided to (A) Provided to (A) Provided to (A) If the credit was provided in kind, for example by the provision of inputs, then estimate the value? Household 1 Male 2 Female Provided to (B) Provided to (B) Provided to (B) Provided to (B) Provided to (B) If the credit was provided in kind, for example by the provision of inputs, then estimate the value? Household 1 Male 2 Female Provided to (C) Provided to (C) Provided to (C) Provided to (C) Provided to (C) If the credit was provided in kind, for example by the provision of inputs, then estimate the value? Household 1 Male 2 Female What is the reason for not using Credit? What is the reason for not using Credit? What is the reason for not using Credit? What is the reason for not using Credit? What is the reason for not using Credit? If the answer to question 13.1 above is NO, what is the reason for not using Credit? Household 1 Not needed 2 Not available 3 Did not want to go into debt 4 Interest rate/cost too high 5 Did not know how to get credit 6 Difficult bureaucracy procedure 7 Credit granted too late 8 Other 9 Don't know about credit Did your Hh have any Planted Trees on your land during 2002/ Did your Hh have any Planted Trees on your land during 2002/ Did your Hh have any Planted Trees on your land during 2002/ Did your Hh have any Planted Trees on your land during 2002/ Did your Hh have any Planted Trees on your land during 2002/ Did your household have any planted trees on your land during 2002/2003? Household 1 Yes 2 No Does your village have a Community Tree Planting Scheme? Does your village have a Community Tree Planting Scheme? Does your village have a Community Tree Planting Scheme? Does your village have a Community Tree Planting Scheme? Does your village have a Community Tree Planting Scheme? Does your village have a community tree planting scheme? Household 1 Yes 2 No Distance to Community Planted Forest Distance to Community Planted Forest Distance to Community Planted Forest Distance to Community Planted Forest Distance to Community Planted Forest Distance to community planted forest(km)? Household Household Involvement Household Involvement Household Involvement Household Involvement Household Involvement Household involvement? Household 1 Only Planting 2 Only Protection & Thinning 3 Only Cutting 4 Most or all Activity Main Purpose Main Purpose Main Purpose Main Purpose Main Purpose Main purpose? Household 1 Erosion Control 2 Production of Poles 3 Production of Firewood 4 Environmental Rehabilitation 8 Other Main use during 2002/03 Main use during 2002/03 Main use during 2002/03 Main use during 2002/03 Main use during 2002/03 Main use during 2002/2003? Household 1 Poles 2 Timber Logs 3 Charcoal 4 Firewood 5 Not Ready to Use 6 Not Allowed to Use 8 Other Did your Hh receive extension advice for crop production dur Did your Hh receive extension advice for crop production dur Did your Hh receive extension advice for crop production dur Did your Hh receive extension advice for crop production dur Did your Hh receive extension advice for crop production dur Did your household receive extension advice for crop production during 2002/2003? Household 1 Yes 2 No Did you use Draft animals to cultivate your land during 02/0 Did you use Draft animals to cultivate your land during 02/0 Did you use Draft animals to cultivate your land during 02/0 Did you use Draft animals to cultivate your land during 02/0 Did you use Draft animals to cultivate your land during 02/0 Did you use draft animals to cultivate your land during 2002/03? Household 1 Yes 2 No Did you apply organic fertilizer during 2002/03? Did you apply organic fertilizer during 2002/03? Did you apply organic fertilizer during 2002/03? Did you apply organic fertilizer during 2002/03? Did you apply organic fertilizer during 2002/03? Did you apply organic fertiliser during 2002/2003? Household 1 Yes 2 No Farm Yard Manure Area Applied Farm Yard Manure Area Applied Farm Yard Manure Area Applied Farm Yard Manure Area Applied Farm Yard Manure Area Applied Area applied? Household Compost Area Applied Compost Area Applied Compost Area Applied Compost Area Applied Compost Area Applied Area applied? Household Did the household own, raise or manage any Cattle? Did the household own, raise or manage any Cattle? Did the household own, raise or manage any Cattle? Did the household own, raise or manage any Cattle? Did the household own, raise or manage any Cattle? Did the Household own, raise or manage any Cattle during 2002/03 Agriculture year? Household 1 Yes 2 No Did the Hh own, raise or manage any Goat? Did the Hh own, raise or manage any Goat? Did the Hh own, raise or manage any Goat? Did the Hh own, raise or manage any Goat? Did the Hh own, raise or manage any Goat? Did the Household own, raise or manage any Goats during the 2002/03 Agriculture year? Household 1 Yes 2 No Did the household own, raise or manage any Sheep? Did the household own, raise or manage any Sheep? Did the household own, raise or manage any Sheep? Did the household own, raise or manage any Sheep? Did the household own, raise or manage any Sheep? Did the Household own, raise or manage any Sheep during the 2002/03 Agriculture year? Household 1 Yes 2 No Did the household own, raise or manage any Pig? Did the household own, raise or manage any Pig? Did the household own, raise or manage any Pig? Did the household own, raise or manage any Pig? Did the household own, raise or manage any Pig? Did the Household own, raise or manage any Pigs during the 2002/03 Agriculture year? Household 1 Yes 2 No Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals durig 2002/03? Household 1 Yes 2 No Dewormed Cattles Dewormed Cattles Dewormed Cattles Dewormed Cattles Dewormed Cattles Which animals did you deworm? Household 1 Yes Dewormed Goats Dewormed Goats Dewormed Goats Dewormed Goats Dewormed Goats Which animals did you deworm? Household 1 Yes 2 No Dewormed Sheep Dewormed Sheep Dewormed Sheep Dewormed Sheep Dewormed Sheep Which animals did you deworm? Household 1 Yes Dewormed Pigs Dewormed Pigs Dewormed Pigs Dewormed Pigs Dewormed Pigs Which animals did you deworm? Household 1 Yes Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a tick problem? Household 1 Yes 2 No Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which methods of tick control did you use? Household 1 None 2 Spraying 3 Dipping 4 Smearing 5 Other Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a tsetsefly problem? Household 1 Yes 2 No Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Household 1 None 2 Spray 3 Dipping 4 Trapping 8 Other Was Fish farming carried out by this household during 2002/0 Was Fish farming carried out by this household during 2002/0 Was Fish farming carried out by this household during 2002/0 Was Fish farming carried out by this household during 2002/0 Was Fish farming carried out by this household during 2002/0 Was Fish farming carried out by this Household during 2002/2003? Household 1 Yes 2 No Did Household receive livestock advice during 2002/03? Did Household receive livestock advice during 2002/03? Did Household receive livestock advice during 2002/03? Did Household receive livestock advice during 2002/03? Did Household receive livestock advice during 2002/03? Did you receive Livestock extension advice during 2002/03? Household 1 Yes 2 No Did you face problems with Govt regulations during 02/03? Did you face problems with Govt regulations during 02/03? Did you face problems with Govt regulations during 02/03? Did you face problems with Govt regulations during 02/03? Did you face problems with Govt regulations during 02/03? Did you face problems with government regulations during 2002/03? Household 1 Yes 2 No 1st Problem 1st Problem 1st Problem 1st Problem 1st Problem Did you face problems with government regulations during 2002/03? Household 1 Land Ownership by Government 2 Restriction of Sales Between Regions 3 Import of Food Items 8 Other 2nd Problem 2nd Problem 2nd Problem 2nd Problem 2nd Problem Did you face problems with government regulations during 2002/03? Household 1 Land Ownership by Government 2 Restriction of Sales Between Regions 3 Import of Food Items 8 Other 3rd Problem 3rd Problem 3rd Problem 3rd Problem 3rd Problem Did you face problems with government regulations during 2002/03? Household 1 Land Ownership by Government 2 Restriction of Sales Between Regions 3 Import of Food Items 8 Other Used materials for Roofing? Used materials for Roofing? Used materials for Roofing? Used materials for Roofing? Used materials for Roofing? For the main dwelling, what are the main building materials used in construction of the following? Household 1 Iron Sheets 2 Tiles 3 Concrete 4 Asbestos 5 Grass / Leaves 6 Grass & Mud 8 Other Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms Household Radio Radio Radio Radio Radio Does your household own the following? Household 1 Yes 2 No Landline phone Landline phone Landline phone Landline phone Landline phone Does your household own the following? Household 1 Yes 2 No Mobile phone Mobile phone Mobile phone Mobile phone Mobile phone Does your household own the following? Household 1 Yes 2 No Iron Iron Iron Iron Iron Does your household own the following? Household 1 Yes 2 No Wheelbarrow Wheelbarrow Wheelbarrow Wheelbarrow Wheelbarrow Does your household own the following? Household 1 Yes 2 No Bicycle Bicycle Bicycle Bicycle Bicycle Does your household own the following? Household 1 Yes 2 No Vehicle Vehicle Vehicle Vehicle Vehicle Does your household own the following? Household 1 Yes 2 No Television / Video Television / Video Television / Video Television / Video Television / Video Does your household own the following? Household 1 Yes 2 No Energy used for Lighting Energy used for Lighting Energy used for Lighting Energy used for Lighting Energy used for Lighting Energy use by the Household? Household 1 Mains Electricity 2 Solar 3 Gas (Biogas) 4 Hurricane Lamp 5 Pressure Lamp 6 Wick Lamp 7 Candles 8 Firewood 98 Other Energy used for Cooking Energy used for Cooking Energy used for Cooking Energy used for Cooking Energy used for Cooking Main source of energy for cooking? Household 1 Mains Electricity 2 Solar 3 Gas (Biogas) 4 Bottled Gas 5 Parraffin / Kerocine 6 Charcoal 7 Firewood 8 Crop Residues 9 Livestock Dung 98 Other Main source of drinking water, Wet Season Main source of drinking water, Wet Season Main source of drinking water, Wet Season Main source of drinking water, Wet Season Main source of drinking water, Wet Season Main source of drinking water? Household 1 Piped Water 2 Protected Well 3 Protected / Covered Spring 4 Uprotected Well 5 Unprotected Spring 6 Surface Water (Lake / Dam / River / Stream) 7 Covered Rainwater Catchment 8 Uncovered Rainwater Catchment 9 Water Vendor 10 Tanker Truck 11 Bottled Water 98 Other Distance to Source, Wet Season Distance to Source, Wet Season Distance to Source, Wet Season Distance to Source, Wet Season Distance to Source, Wet Season Distance to source(in km)? Household Time to & fro Source, Wet Time to & fro Source, Wet Time to & fro Source, Wet Time to & fro Source, Wet Time to & fro Source, Wet Time to and from the source(Hour:minute)? Household Main Source of Drinking Water, Dry Season Main Source of Drinking Water, Dry Season Main Source of Drinking Water, Dry Season Main Source of Drinking Water, Dry Season Main Source of Drinking Water, Dry Season Main source of drinking water? Household 1 Piped Water 2 Protected Well 3 Protected / Covered Spring 4 Uprotected Well 5 Unprotected Spring 6 Surface Water (Lake / Dam / River / Stream) 7 Covered Rainwater Catchment 8 Uncovered Rainwater Catchment 9 Water Vendor 10 Tanker Truck 11 Bottled Water 98 Other Distance to Source, Dry Season Distance to Source, Dry Season Distance to Source, Dry Season Distance to Source, Dry Season Distance to Source, Dry Season Distance to source(in km)? Household Time to & fro Source, Dry Season Time to & fro Source, Dry Season Time to & fro Source, Dry Season Time to & fro Source, Dry Season Time to & fro Source, Dry Season Time to and from the source(Hour:minute)? Household What type of toilet does your hh use? What type of toilet does your hh use? What type of toilet does your hh use? What type of toilet does your hh use? What type of toilet does your hh use? What type of toilet does your household use? Household 1 No Toilet / Bush 2 Flush Toilet 3 Traditional Pit Latrine 4 Improved Pit Latrine - hh Owned 8 Other Type Number of meals the hh normally has per day Number of meals the hh normally has per day Number of meals the hh normally has per day Number of meals the hh normally has per day Number of meals the hh normally has per day Number of meals the household normally has per day? Household Number of days household consumed meat last week Number of days household consumed meat last week Number of days household consumed meat last week Number of days household consumed meat last week Number of days household consumed meat last week Number of days household consumed meat last week? Household Number of days household consumed fish last week Number of days household consumed fish last week Number of days household consumed fish last week Number of days household consumed fish last week Number of days household consumed fish last week Number of days household consumed fish last week? Household How often did the hh have problems in satisfying the food ne How often did the hh have problems in satisfying the food ne How often did the hh have problems in satisfying the food ne How often did the hh have problems in satisfying the food ne How often did the hh have problems in satisfying the food ne How often did the household have the problems in satisfying the food needs of the household last year? Household 1 Never 2 Seldom 3 Sometimes 4 Often 5 Always What is the household main source of cash income? What is the household main source of cash income? What is the household main source of cash income? What is the household main source of cash income? What is the household main source of cash income? What is the households main source of cash income? Household 1 Sales of Food Crops 2 Sale of Livestock 3 Sale of Livestock Products 4 Sales of Cash Crops 5 Sale of Forest Products 6 Business Income 7 Wages & Salaries in Cash 8 Other Casual Cash Earnings 9 Cash Remittance 10 Fishing 98 Other 99 not applicable Starting Time Starting Time Starting Time Starting Time Starting Time Ending Time Ending Time Ending Time Ending Time Ending Time District Supervisor District Supervisor District Supervisor District Supervisor District Supervisor 1 Yes 2 No Regional Supervisor Regional Supervisor Regional Supervisor Regional Supervisor Regional Supervisor 1 Yes 2 No National Supervisor National Supervisor National Supervisor National Supervisor National Supervisor 1 Yes 2 No Questionnaire Quality Questionnaire Quality Questionnaire Quality Questionnaire Quality Questionnaire Quality 1 Bad Questionnaire Quality 2 1% - 25% Good Quality 3 25% - 50% Good Quality 4 50% - 75% Good Quality 5 75% - 100% Good Quality 6 Poor Quality 7 Avarage Quality 8 Excellent Quality Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Off Farm Class Off Farm Class Off Farm Class Off Farm Class Off Farm Class 1 1 2 2 3 3+ Credit Use Credit Use Credit Use Credit Use Credit Use Give details of the credit obtained during the agricultural year 2002/2003 Household 1 Labour 2 Seeds 3 Fertilizers 4 Agro-chemicals 5 Tools / Equipment 6 Irrigation Structures 7 Livestock 8 Other Source "A" Source "A" Source "A" Source "A" Source "A" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Source "B" Source "B" Source "B" Source "B" Source "B" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Source "C" Source "C" Source "C" Source "C" Source "C" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Source of Income Activity Source of Income Activity Source of Income Activity Source of Income Activity Source of Income Activity Livehood/source of income activity Household 1 Annual Crop Farming 2 Permanent Crop Farming 3 Livestock Keeping / Herding 4 Off Farm Income 5 Remittances 6 Fishing / Hunting & Gathering 7 Tree / Forest Resources Rank in Order of Importance Rank in Order of Importance Rank in Order of Importance Rank in Order of Importance Rank in Order of Importance Rank in order of importance Household 1 1st Importance 2 2nd Importance 3 3rd Importance 4 4th Importance 5 5th Importance 6 6th Importance 7 7th Importance Percentage Percentage Percentage Percentage Percentage How important are each of these activities expressed in percentage Household Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Goat Type Goat Type Goat Type Goat Type Goat Type Goat type Household 1 Billy Goat 2 Castrated Goat 3 She Goat 4 Male Kid 5 She Kid Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Household Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for meat Household Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved for Dairy Household Total Goat Total Goat Total Goat Total Goat Total Goat Total Household Village weight Village weight Village weight Village weight Village weight Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Not Selected 1 Selected S/No S/No S/No S/No S/No Relationship to Head Relationship to Head Relationship to Head Relationship to Head Relationship to Head Relationship to head Household 1 Head of Household 2 Spouse 3 Son / Daughter 4 Father / Mother 5 Grandchild 6 Other Relative 8 Others Sex Sex Sex Sex Sex Sex Household 1 Male 2 Female Age Age Age Age Age Age Household Less than 1 year old 99 99 years and more Survival of Mother Survival of Mother Survival of Mother Survival of Mother Survival of Mother Survival of parents:Mother Household 1 Yes 2 No 3 Don't know Survival of Father Survival of Father Survival of Father Survival of Father Survival of Father Survival of parents:Father Household 1 Yes 2 No 3 Don't know Read & Write Read & Write Read & Write Read & Write Read & Write Read and Write Household 1 Swahili 2 English 3 Swahili & English 4 Any Other Language 5 Don't Read / Write Education Status Education Status Education Status Education Status Education Status Education status Household 1 Attending School 2 Completed 3 Never Attended to School Education Level Education Level Education Level Education Level Education Level Education level reached Household Under Standard One 1 Standard One 2 Standard Two 3 Standard Three 4 Standard Four 5 Standard Five 6 Standard Six 7 Standard Seven 8 Standard Eight 9 Training After Primary Education 10 Pre Form One 11 Form One 12 Form Two 13 Form Three 14 Form Four 15 Form Five 16 Form Six 17 Training After Secondary Education 18 University & Other Tertiary Education 19 Adult Education 99 Not applicable Involvement in Farming Involvement in Farming Involvement in Farming Involvement in Farming Involvement in Farming Involvement in farming Household 1 Works Full-time on Farm 2 Works Part-time on Farm 3 Rarely Works on Farm 4 Never Works on Farm Main Activity Main Activity Main Activity Main Activity Main Activity Main activity(for aged 5 and above) Household 1 Crop/Seaweed Farming 2 Livestock Keeping / Herding 3 Livestock Pastoralist 4 Fishing 5 Government / Parastatal 6 Private - NGO / Mission / etc 7 Self Employed (Non Farmimg) with Employees 8 Self Employed (Non Farmimg) without Employees 9 Unpaid Family Helper (Non Agriculture) 10 Not Working & Available 11 Not Working & Unavailable 12 Housemaker / Housewife 13 Student 14 Unable to Work / Too Old / Retired / Sick / Disabled 98 Other Off Farm Income Off Farm Income Off Farm Income Off Farm Income Off Farm Income Off-farm income Household 1 Yes 2 No Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Land Access Land Access Land Access Land Access Land Access Details of area "owned" by the household in the 2002/2003 agricultural year. Give area reported by the respondent in "acres" Household 1 Area Leased / Certificate of Ownership 2 Area owned under Customary Law 3 Area Bought from Others 4 Area Rented from Others 5 Area Borrowed from Others 6 Area Share - cropped from Others 7 Area under Other forms of Tenure Area of Land Use Area of Land Use Area of Land Use Area of Land Use Area of Land Use Land use Household Village weight Village weight Village weight Village weight Village weight Land Use Land Use Land Use Land Use Land Use Area operated by household under different forms of land use during 2002/2003 agricultural year. Give area reported by the respondent in "acres" Household 1 Area under Temporary Mono Crops 2 Area under Temporary Mixed Crops 3 Area under Permanent Mono Crops 4 Area under Permanent Mixed Crops 5 Area under Permanent / Annual Mix 6 Area under Pasture 7 Area under Fallow 8 Area under Natural Bush 9 Area under Planted Trees 10 Area Rented to Others 11 Area Unusable 12 Area of Uncultivated Usable Land Area in Acres Area in Acres Area in Acres Area in Acres Area in Acres Area operated by household under different forms of land use during 2002/2003 agricultural year. Give area reported by the respondent in "acres" Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Field Number Field Number Field Number Field Number Field Number In the following table indicate the distance to the different fields used by the household Household 1 Field number 1 2 Filed umber 2 3 Filed number 3 Homestead Homestead Homestead Homestead Homestead In the following table indicate the distance to the different fields used by the household Household 1 Less than 100 m 2 Between 100 and 300 m 3 Between 300 and 500 m 4 Between 500 and 1 km 5 Between 1 and 2 km 6 Between 2 and 3 km 7 Between 3 and 5 km 8 Between 5 and 10 km 9 Over 10 km Nearest Road Nearest Road Nearest Road Nearest Road Nearest Road In the following table indicate the distance to the different fields used by the household Household 1 Less than 100 m 2 Between 100 and 300 m 3 Between 300 and 500 m 4 Between 500 and 1 km 5 Between 1 and 2 km 6 Between 2 and 3 km 7 Between 3 and 5 km 8 Between 5 and 10 km 9 Over 10 km Nearest Market Nearest Market Nearest Market Nearest Market Nearest Market In the following table indicate the distance to the different fields used by the household Household 1 Less than 100 m 2 Between 100 and 300 m 3 Between 300 and 500 m 4 Between 500 and 1 km 5 Between 1 and 2 km 6 Between 2 and 3 km 7 Between 3 and 5 km 8 Between 5 and 10 km 9 Over 10 km Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crop Code Crop Code Crop Code Crop Code Crop Code Crop code Household 1 Mung Beans 2 Okra 3 Radish 4 Turmeric 5 Bitter Aubergine 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 19 Seaweed 20 Garlic 21 Cassava 22 Sweet Potatoes 23 Irish Potatoes 24 Yams 25 Cocoyam 26 Onions 27 Ginger 31 Beans 32 Cowpeas 33 Green Gram 34 Pigeon Peas 35 Chich Peas 36 Bambaranuts 37 Field Peas 41 Sunflower 42 Simsim 43 Groundnuts 47 Soya Beans 48 Castor Seed 50 Cotton 51 Tobacco 53 Pyrethrum 62 Jute 86 Cabbage 87 Tomatoes 88 Spinnach 89 Carrot 90 Chillies 91 Amaranths 92 Pumpkins 93 Cucumber 94 Egg Plant 95 Water Mellon 96 Cauliflower Crop Code Crop Code Crop Code Crop Code Crop Code Crop code Household 1 Maize 2 Paddy 3 Sorghum 4 Bulrush Millet 5 Finger Millet 6 Wheat 7 Barley 8 Cassava 9 Sweet Potatoes 10 Irish Potatoes 11 Yams 12 Cocoyam 13 Mung Beans 14 Beans 15 Cowpeas 16 Green Gram 17 Pigeon Peas 18 Chich Peas 19 Bambaranuts 20 Field Peas 21 Sunflower 22 Simsim 23 Groundnuts 24 Soya Beans 25 Castor Seed 26 Okra 27 Radish 28 Turmeric 29 Bitter Aubergine 30 Garlic 31 Onions 32 Ginger 33 Cabbage 34 Tomatoes 35 Spinnach 36 Carrot 37 Chillies 38 Amaranths 39 Pumpkins 40 Cucumber 41 Egg Plant 42 Water Mellon 43 Cauliflower 44 Seaweed 45 Cotton 46 Tobacco 47 Pyrethrum 48 Jute Land Clearing Land Clearing Land Clearing Land Clearing Land Clearing Land clearing Household 1 Mostly Bush Clearance 2 Mostly Hand Slashing 3 Mostly Tractor Slashing 4 Mostly Burning 5 Halikusafishwa 8 Other Soil Preparation Soil Preparation Soil Preparation Soil Preparation Soil Preparation Soil preparation Household 1 Mostly Tractor Ploughing 2 Mostly Oxen Ploughing 3 Mostly Hand Cultivation Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned area(acres) Household Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual planted area(acres) Household Improved Seed Improved Seed Improved Seed Improved Seed Improved Seed Improved seed Household 1 All Improved 2 Approximate 3/4 Improved 3 Approximate 1/2 Improved 4 Approximate 1/4 Improved 5 Less than 1/4 Improved 6 No Improved Seed Used Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less then 1/4 of Crop 6 Not Used Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertiliser use Household 1 Mostly Farm Yard Manure 2 Mostly Compost 3 Mostly Inorganic Fertilizer 4 No Fertilizer Applied Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less than 1/4 of Crop 6 Not Used Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less than 1/4 of Crop 6 Not Used Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less than 1/4 of Crop 6 Not Used How Harvested How Harvested How Harvested How Harvested How Harvested How harvested Household 1 By Hand 2 By Draft Animal 3 By Human Powered Tool 4 By Engine Driven Machine 9 Not applicable How Threshed How Threshed How Threshed How Threshed How Threshed How threshed Household 1 By Hand 2 By Draft Animal 3 By Human Powered Tool 4 By Engine Driven Machine 9 Not applicable Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area Harvested(acres) Household Main Product Code Main Product Code Main Product Code Main Product Code Main Product Code Main product code Household 1 Dry Grain 2 Green Cob 3 Green Leaves & Stem 4 Straw, Dry Stems etc 5 Root, Tuber etc 6 Flower eg Pyrethrum 7 Fruit 8 Other 9 Not harvested yet Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity harvested(Kgs) Household Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity stored(kgs) Household Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity sold(kgs) Household Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly sold to Household 1 Neighbours 2 Local Market / Trade Store 3 Secondary Market 4 Tertiary Market 5 Marketing Co-operative 6 Farmer Association 7 Large Scale Farm 8 Trader at Farm 9 Contract Partner 10 Did not Sell 98 Other Area Planned (ha) Area Planned (ha) Area Planned (ha) Area Planned (ha) Area Planned (ha) Planned area(acres) Household Area Planted (ha) Area Planted (ha) Area Planted (ha) Area Planted (ha) Area Planted (ha) Actual Planted area(acres) Household Area Harvested (ha) Area Harvested (ha) Area Harvested (ha) Area Harvested (ha) Area Harvested (ha) Area harvested(acres) Household Quantity Harvested (tons) Quantity Harvested (tons) Quantity Harvested (tons) Quantity Harvested (tons) Quantity Harvested (tons) Quantity harvested(kgs) Household Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crop Code Crop Code Crop Code Crop Code Crop Code Crop code Household 1 Maize 2 Paddy 3 Sorghum 4 Bulrush Millet 5 Finger Millet 6 Wheat 7 Barley 8 Cassava 9 Sweet Potatoes 10 Irish Potatoes 11 Yams 12 Cocoyam 13 Mung Beans 14 Beans 15 Cowpeas 16 Green Gram 17 Pigeon Peas 18 Chich Peas 19 Bambaranuts 20 Field Peas 21 Sunflower 22 Simsim 23 Groundnuts 24 Soya Beans 25 Castor Seed 26 Okra 27 Radish 28 Turmeric 29 Bitter Aubergine 30 Garlic 31 Onions 32 Ginger 33 Cabbage 34 Tomatoes 35 Spinnach 36 Carrot 37 Chillies 38 Amaranths 39 Pumpkins 40 Cucumber 41 Egg Plant 42 Water Mellon 43 Cauliflower 44 Seaweed 45 Cotton 46 Tobacco 47 Pyrethrum 48 Jute 1 Mung Beans 2 Okra 3 Radish 4 Turmeric 5 Bitter Aubergine 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 19 Seaweed 20 Garlic 21 Cassava 22 Sweet Potatoes 23 Irish Potatoes 24 Yams 25 Cocoyam 26 Onions 27 Ginger 31 Beans 32 Cowpeas 33 Green Gram 34 Pigeon Peas 35 Chich Peas 36 Bambaranuts 37 Field Peas 41 Sunflower 42 Simsim 43 Groundnuts 47 Soya Beans 48 Castor Seed 50 Cotton 51 Tobacco 53 Pyrethrum 62 Jute 86 Cabbage 87 Tomatoes 88 Spinnach 89 Carrot 90 Chillies 91 Amaranths 92 Pumpkins 93 Cucumber 94 Egg Plant 95 Water Mellon 96 Cauliflower Land Clearing Land Clearing Land Clearing Land Clearing Land Clearing Land clearing Household 1 Mostly Bush Clearance 2 Mostly Hand Slashing 3 Mostly Tractor Slashing 4 Mostly Burning 5 Halikusafishwa 8 Other Soil Preparation Soil Preparation Soil Preparation Soil Preparation Soil Preparation Soil preparation Household 1 Mostly Tractor Ploughing 2 Mostly Oxen Ploughing 3 Mostly Hand Cultivation Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned Area (acres) Planned area(acres) Household Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted Area (acres) Actual Planted area(acres) Household Improved Seed Improved Seed Improved Seed Improved Seed Improved Seed Improved seed Household 1 All Improved 2 Approximate 3/4 Improved 3 Approximate 1/2 Improved 4 Approximate 1/4 Improved 5 Less than 1/4 Improved 6 No Improved Seed Used Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less then 1/4 of Crop 6 Not Used Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertiliser use Household 1 Mostly Farm Yard Manure 2 Mostly Compost 3 Mostly Inorganic Fertilizer 4 No Fertilizer Applied Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide use Household 1 Used on All Crops 2 Used on 3/4 of Crops 3 Used on 1/2 of Crops 4 Used on 1/4 of Crops 5 Used on Less then 1/4 of Crops 6 Not Used Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less then 1/4 of Crop 6 Not Used Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide use Household 1 Used on All Crop 2 Used on 3/4 of Crop 3 Used on 1/2 of Crop 4 Used on 1/4 of Crop 5 Used on Less then 1/4 of Crop 6 Not Used How Harvested How Harvested How Harvested How Harvested How Harvested How harvested Household 1 By Hand 2 By Draft Animal 3 By Human Powered Tool 4 By Engine Driven Machine 9 Not applicable How Threshed How Threshed How Threshed How Threshed How Threshed How threshed Household 1 By Hand 2 By Draft Animal 3 By Human Powered Tool 4 By Engine Driven Machine 9 Not applicable Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area Harvested (acres) Area harvested(acres) Household Main Product Code Main Product Code Main Product Code Main Product Code Main Product Code Main product code Household 1 Dry Grain 2 Green Cob 3 Green Leaves & Stem 4 Straw, Dry Stems etc 5 Root, Tuber etc 6 Flower eg Pyrethrum 7 Fruit 8 Other 9 Not yet Harvested Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity harvested(kgs) Household Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity stored(kgs) Household Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity sold(kgs) Household Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly sold to Household 1 Neighbours 2 Local Market / Trade Store 3 Secondary Market 4 Tertiary Market 5 Markting Co-operative 6 Farmer Association 7 Large Scale Farm 8 Trader at Farm 9 Contract Partner 10 Did not Sell 98 Other Village weight Village weight Village weight Village weight Village weight Permanent crop/Trees/Fruit tree code Permanent crop/Trees/Fruit tree code Permanent crop/Trees/Fruit tree code Permanent crop/Trees/Fruit tree code Permanent crop/Trees/Fruit tree code Permanent crop/fruit tree code Household 6 Sour Soup 7 Rubber Vine Fruit 8 Mangostine 18 Black Pepper 21 Cassava 34 Pigeon Pea 38 Malay Apple 39 Star Fruit 44 Palm Oil 45 Coconut 46 Cashewnut 52 Sisal 54 Coffee 55 Tea 56 Cocoa 57 Rubber 58 Wattle 59 Kapok 60 Sugarcane 61 Cardamon 63 Tamarin 64 Cinamon 65 Nutmeg 66 Cloves 67 Mshelisheli 68 Pomelo 69 Jack Fruit 70 Mpesheni 71 Banana 72 Avocado 73 Mango 74 Pawpaw 75 Pineapple 76 Orange 77 Grape Fruit 78 Grape 79 Mandarine/Tangerine 80 Guava 81 Plums 82 Apples 83 Pears 84 Pitches 85 Lime/Lemon 97 Durian 98 Bilimbi 99 Rambutan Area of Plants/Trees/ Bushes in Mono Crop (acres) Area of Plants/Trees/ Bushes in Mono Crop (acres) Area of Plants/Trees/ Bushes in Mono Crop (acres) Area of Plants/Trees/ Bushes in Mono Crop (acres) Area of Plants/Trees/ Bushes in Mono Crop (acres) Area of Plants/trees/Bushes in monocrop(acres) Household Area Covered by Permanent Crop in Mixed Crop (acres) Area Covered by Permanent Crop in Mixed Crop (acres) Area Covered by Permanent Crop in Mixed Crop (acres) Area Covered by Permanent Crop in Mixed Crop (acres) Area Covered by Permanent Crop in Mixed Crop (acres) Area covered by permanent crop in a mixed crop(acres) Household Number of Plants/Trees/Bushes in Mixed Crop Number of Plants/Trees/Bushes in Mixed Crop Number of Plants/Trees/Bushes in Mixed Crop Number of Plants/Trees/Bushes in Mixed Crop Number of Plants/Trees/Bushes in Mixed Crop Number of permanent plants/trees in a mixed crop Household Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation Use Irrigation use Household 1 Used on All Crops 2 Used on Most Crops 3 Used on 1/2 of Crops 4 Used on 1/4 of Crops 5 Used on Small Amount of Crops 6 Not Used on Crops Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertilizer Use Fertiliser use Household 1 Mostly Farm Yard Manure 2 Mostly Compost 3 Mostly Inorganic Fertilizer 4 No Fertilizer Applied Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide Use Herbicide use Household 1 Used on All Crops 2 Used on 3/4 of Crops 3 Used on 1/2 of Crops 4 Used on 1/4 of Crops 5 Used on Less then 1/4 of Crops 6 Not Used on Crops Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide Use Fungicide use Household 1 Used on All Crops 2 Used on 3/4 of Crops 3 Used on 1/2 of Crops 4 Used on 1/4 of Crops 5 Used on Less then 1/4 of Crops 6 Not Used on Crops Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide Use Pesticide use Household 1 Used on All Crops 2 Used on 3/4 of Crops 3 Used on 1/2 of Crops 4 Used on 1/4 of Crops 5 Used on Less then 1/4 of Crops 6 Not Used on Crops Harvested Area (acres) Harvested Area (acres) Harvested Area (acres) Harvested Area (acres) Harvested Area (acres) Area harvested(acres) Household Number of Mature Plants Number of Mature Plants Number of Mature Plants Number of Mature Plants Number of Mature Plants Number of mature plants Household Main Product Code Main Product Code Main Product Code Main Product Code Main Product Code Main product code Household 1 Dry Seed 2 Fruit 3 Green Leaves & Stem 4 Straw, Dry Stem 5 Root, Tuber etc 6 Flower 7 Bunch 8 Other 9 Not Harvested Yet Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity Harvested (kgs) Quantity harvested(kgs) Household Reason Unharvested Reason Unharvested Reason Unharvested Reason Unharvested Reason Unharvested If no harvest give reason Household 1 Crop Not Harvested Yet 2 Drought 3 Rain / Flood Damage 4 Fire Damage 5 Pest Damage 6 Animal Damage 7 Theft 8 Other 9 Not applicable Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity Stored (kgs) Quantity stored(kgs) Household Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity Sold (kgs) Quantity sold(kgs) Household Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly Sold to Mostly sold to Household 1 Neighbours 2 Local Market / Trade Store 3 Secondary Market 4 Tertiary Market 5 Marketing Co-operative 6 Farmer Association 7 Large Scale Farm 8 Trader at Farm 9 Contract Partner 10 Did not Sell 98 Other Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crop Code Crop Code Crop Code Crop Code Crop Code Crop code Household 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 21 Cassava 22 Sweet Potatoes 23 Irish Potatoes 24 Yams 25 Cocoyams 26 Onions 27 Ginger 31 Beans 32 Cowpeas 33 Green Gram 34 Pigeon Peas 35 Chick Peas 36 Bambaranut 41 Sunflower 42 Simsim 43 Groundnut 44 Oil Palm 45 Coconut 46 Cashewnut 47 Soya Beans 48 Castor Seed 50 Cotton 51 Tobacco 52 Sisal 53 Pyrethrum 54 Coffee 55 Tea 56 Cocoa 57 Rubber 58 Wattle 59 Kapok 60 Sugarcane 61 Cardamon 62 Jute 71 Banana 72 Avocado 73 Mango 74 Pawpaw 75 Pineapple 76 Orange 77 Grape Fruit 78 Grapes 79 Mandarine 80 Guava 81 Plums 82 Apples 83 Pears 84 Pitches 85 Lime / Lemon 86 Cabbage 87 Tomatoes 88 Spinnach 89 Carrot 90 Chillies 91 Amarantus 92 Pumpkins 93 Cucumber 94 Egg Plant 95 Water Melon 96 Cauliflower Product Code Product Code Product Code Product Code Product Code Product code Household 1 Green Leaves & Stem 2 Straw, Dry Stems 3 Root / Tuber 4 Flower 5 Fruit 8 Other Used for Used for Used for Used for Used for Used for Household 1 Feeding to Livestock 2 Building Material 3 Fuel for Cooking 4 Consumed by Household 5 Crops only 6 Did not use 8 Other Unit Unit Unit Unit Unit Unit Household 1 Loose Bundle / Bunch 2 Compressed Bunch / Bail 3 Tin 4 Bucket 5 Kilogram 6 Stems 7 Sacks 8 Other Number of Units Number of Units Number of Units Number of Units Number of Units Total number of units Household Number of Units Sold Number of Units Sold Number of Units Sold Number of Units Sold Number of Units Sold Number of units sold Household Total Value of Sold Units (Tsh) Total Value of Sold Units (Tsh) Total Value of Sold Units (Tsh) Total Value of Sold Units (Tsh) Total Value of Sold Units (Tsh) Total value of sold units(Tsh) Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crop Code Crop Code Crop Code Crop Code Crop Code Crop code Household 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 21 Cassava 22 Sweet Potatoes 23 Irish Potatoes 24 Yams 25 Cocoyams 26 Onions 27 Ginger 31 Beans 32 Cowpeas 33 Green Gram 34 Pigeon Peas 35 Chick Peas 36 Bambaranut 41 Sunflower 42 Simsim 43 Groundnut 44 Oil Palm 45 Coconut 46 Cashewnut 47 Soya Beans 48 Castor Seed 50 Cotton 51 Tobacco 52 Sisal 53 Pyrethrum 54 Coffee 55 Tea 56 Cocoa 57 Rubber 58 Wattle 59 Kapok 60 Sugarcane 61 Cardamon 62 Jute 71 Banana 72 Avocado 73 Mango 74 Pawpaw 75 Pineapple 76 Orange 77 Grape Fruit 78 Grapes 79 Mandarine 80 Guava 81 Plums 82 Apples 83 Pears 84 Pitches 85 Lime / Lemon 86 Cabbage 87 Tomatoes 88 Spinnach 89 Carrot 90 Chillies 91 Amaranths 92 Pumpkins 93 Cucumber 94 Egg Plant 95 Water Melon 96 Cauliflower Method of Processing Method of Processing Method of Processing Method of Processing Method of Processing Processed Household 1 On Farm by Hand 2 On Farm by Machine 3 By Neighbour Machine 4 By Farmers Association 5 By Co-operative Union 6 By Trader 7 On Large Scale Farm 8 Other 9 By Factory Main Product Main Product Main Product Main Product Main Product Main product code Household 1 Flour / Meal 2 Grain 3 Oil 4 Juice 5 Fiber 6 Pulp 7 Rubber 8 Other Product Use Product Use Product Use Product Use Product Use Used for Household 1 Household / Human Consumption 2 Fuel for Cooking 3 Sale Only 4 Animal Consumption 5 Did Not Use 8 Other Unit Unit Unit Unit Unit Unit Household 1 Loose Bundle / Bunch 2 Compressed Bunch / Bail 3 Tin 4 Bucket 5 Kilogram 6 Litre 8 Other Quantity of Main Product Quantity of Main Product Quantity of Main Product Quantity of Main Product Quantity of Main Product Quantity of main product Household Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity sold Household Where Sold Where Sold Where Sold Where Sold Where Sold Where sold Household 1 Neighbours 2 Local Market / Trade Store 3 Secondary Market 4 Marketing Co-operative 5 Farmers Association 6 Large Scale Farm 7 Trader at Farm 8 Other 9 Did not Sell By Product By Product By Product By Product By Product By product code Household 1 Bran 2 Cake 3 Husk 4 Juice 5 Fiber 6 Pulp 7 Oil 8 Shell 9 No by-product 98 Other Used for Used for Used for Used for Used for Used for Household 1 Household / Human Consumption 2 Fuel for Cooking 3 Sale Only 4 Animal Consumption 5 Did Not Use 8 Other 9 Not applicable Unit Unit Unit Unit Unit Unit Household 1 Loose Bundle / Bunch 2 Compressed Bunch / Bail 3 Tin 4 Bucket 5 Kilogram 6 Litre 8 Other Quantity of By-product Quantity of By-product Quantity of By-product Quantity of By-product Quantity of By-product Quantity by product Household Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity Sold Quantity sold Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crop Name Crop Name Crop Name Crop Name Crop Name Crop name Household 1 Maize 2 Paddy 3 Sorghum & Millet 4 Beans & Pulses 5 Seaweed 6 Cloves 7 Cashewnut 8 Tobacco 9 Coconut 10 Groundnuts/Bambara Nuts Stored Stored Stored Stored Stored Stored Household 1 Households Storing Crop 2 Households Not Storing Crop Current Quantity Stored (kgs) Current Quantity Stored (kgs) Current Quantity Stored (kgs) Current Quantity Stored (kgs) Current Quantity Stored (kgs) Current quantity stored Household Method of Storage Method of Storage Method of Storage Method of Storage Method of Storage Method of storage Household 1 In Locally Made Traditional Structure 2 In Improved Locally Made Structure 3 In Modern Store 4 In Sacks / Open Drum 5 In Airtight Drum 6 Unprotected Pile 8 Other Normal Duration of Storage Normal Duration of Storage Normal Duration of Storage Normal Duration of Storage Normal Duration of Storage Normal duration of storage Household 1 Less than 3 Months 2 Between 3 and 6 Months 3 Over 6 Months Main Purpose Main Purpose Main Purpose Main Purpose Main Purpose Main purpose Household 1 Food for the Household 2 To Sell for Higher Price 3 Seeds for Planting 8 Other Estimate Storage Loss Estimate Storage Loss Estimate Storage Loss Estimate Storage Loss Estimate Storage Loss Estimate storage loss Household 1 Little or no Loss 2 Up to 1/4 Loss 3 Between 1/4 and 1/2 Loss 4 Over 1/2 Loss Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Goat Type Goat Type Goat Type Goat Type Goat Type Goat type Household 1 Billy Goat 2 Castrated Goat 3 She Goat 4 Male Kid 5 She Kid Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Household Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for meat Household Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved for Dairy Household Total Goat Total Goat Total Goat Total Goat Total Goat Total Household Village weight Village weight Village weight Village weight Village weight Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Q192C1=1 (FILTER) Not Selected 1 Selected Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Crops Crops Crops Crops Crops Crop Household 1 Maize 2 Rice 3 Sorghum/Milet 4 Seaweed 5 Beans & Pulses 6 Cassava 7 Bananas 8 Cloves 9 Vegetables 10 Fruit 11 Cahewnut 12 Coconut 13 Tobacco 14 Trees/Timber/Poles 15 Fish 16 Other Main Problem Main Problem Main Problem Main Problem Main Problem Main problem Household 1 Open Market Price Too Low 2 No Transport 3 Transport Cost Too High 4 No Buyer 5 Market too Far 6 Farmers Association Problems 7 Co-operative Problems 8 Trade Union Problems 9 Government Regulatory Board Problems 10 Lack of Market Information 98 Other 99 Not applicable Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Problem Importance Problem Importance Problem Importance Problem Importance Problem Importance From the list of marketing problems below, for all produce rank the five most important problems Household 1 1st problem 2 2nd problem 3 3rd problem 4 4th problem 5 5th problem Main Problem Main Problem Main Problem Main Problem Main Problem Main problem Household 1 Open Market Price Too Low 2 No Transport 3 Transport Cost Too High 4 No Buyer 5 Market too Far 6 Farmers Association Problems 7 Co-operative Problems 8 Trade Union Problems 9 Government Regulatory Board Problems 10 Lack of Market Information 98 Other 99 Not applicable Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Type of Erosion Control Type of Erosion Control Type of Erosion Control Type of Erosion Control Type of Erosion Control Type of erosion control/water harvesting structure Household 1 Terraces 2 Erosion Control Bunds 3 Gabions / Sandbag 4 Vetiver Grass 5 Tree Belts 6 Water Harvesting Bunds 7 Drainage Ditches 8 Dam Number of Structures Number of Structures Number of Structures Number of Structures Number of Structures Number of structures Household Year of Construction Year of Construction Year of Construction Year of Construction Year of Construction Year of construction Household 1900 or before 99 1999 or later Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Input Name Input Name Input Name Input Name Input Name Input name Household 1 Chemical Fertilizer 2 Farm Yard Manure 3 Compost 4 Pesticide / Fungicide 5 Herbicide 6 Improved Seeds 7 Other Used Used Used Used Used Used Household 1 Yes 2 No Source Source Source Source Source Source Household 1 Co-operative 2 Local Farmers Group 3 Local Market / Trade Store 4 Secondary Market 5 Development Project 6 Crop Buyers 7 Large Scale Farm 8 Locally Produced by Household 9 Neighbour 98 Other 99 Not applicable Distance to Source Distance to Source Distance to Source Distance to Source Distance to Source Distance to Source Household 1 Less than 1 km 2 Between 1 and 3 km 3 Between 3 and 10 km 4 Between 10 and 20 km 5 20 km and Above 9 Not applicable Source of Finance Source of Finance Source of Finance Source of Finance Source of Finance Source of Finance Household 1 Sale of Farm Products 2 Other Income generating activities 3 Remittances 4 Bank Loan 5 Produced on form 8 Other 9 Not applicable Reason for not Using Reason for not Using Reason for not Using Reason for not Using Reason for not Using Reason for not using Household 1 Not Available 2 Price Too High 3 No Money to Buy 4 Too Much Labour Required 5 Do not Know How to Use 6 Input is of No Use 7 Locally Produced by Household 8 Other 9 Not Applicable Quality of Input Quality of Input Quality of Input Quality of Input Quality of Input Quality of Input Household 1 Excellent 2 Good 3 Average 4 Poor 5 Does not Work 9 Not applicable Plan to Use Next Year Plan to Use Next Year Plan to Use Next Year Plan to Use Next Year Plan to Use Next Year Plan to use next year Household 1 Yes 2 No Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Implement / Asset Name Implement / Asset Name Implement / Asset Name Implement / Asset Name Implement / Asset Name Equipment/Asset name Household 1 Hand Hoe 2 Hand Powered Sprayer 3 Oxen 4 Ox Plough 5 Ox Seed Planter 6 Ox Cart 7 Tractor 8 Tractor Plough 9 Tractor Harrow 10 Threshers / Shellers Number Owned Number Owned Number Owned Number Owned Number Owned Number owned Household Number Rented Number Rented Number Rented Number Rented Number Rented Number rented Household Used in 2002/03 Used in 2002/03 Used in 2002/03 Used in 2002/03 Used in 2002/03 Used in 2002/2003 Household 1 Yes 2 No Source of Equipment Source of Equipment Source of Equipment Source of Equipment Source of Equipment Source of Equipment Household 1 Neighbour 2 Co-operative 3 Local Farmers Association 4 Market / Trade Store 5 Development Project 6 Government 7 Large Scale Farm 8 Other 9 Not applicable Source of Finance Source of Finance Source of Finance Source of Finance Source of Finance Source of Finance Household 1 Sale of Farm Products 2 Other Income Generating Activities 3 Remittances 4 Bank Loan 5 Credit 8 Other 9 Not applicable Reason for not Using Reason for not Using Reason for not Using Reason for not Using Reason for not Using Reason for not using Household 1 Not Available 2 Price Too High 3 No Money to Buy / Rent 4 Too Much Labour Required 5 Equipment / Asset of No Use 8 Other 9 Not applicable Plan to use Next Year Plan to use Next Year Plan to use Next Year Plan to use Next Year Plan to use Next Year Plan to use next year Household 1 Yes 2 No Village weight Village weight Village weight Village weight Village weight Village Code Village Code Village Code Village Code Village Code Implement / Asset Name Implement / Asset Name Implement / Asset Name Implement / Asset Name Implement / Asset Name 1 Hand Hoe 2 Hand Powered Sprayer 3 Oxen 4 Ox Plough 5 Ox Seed Planter 6 Ox Cart 7 Tractor 8 Tractor Plough 9 Tractor Harrow 10 Threshers / Shellers Number Owned Number Owned Number Owned Number Owned Number Owned Number Rented Number Rented Number Rented Number Rented Number Rented Used in 2002/03 Used in 2002/03 Used in 2002/03 Used in 2002/03 Used in 2002/03 1 Yes 2 No Source of Equipment Source of Equipment Source of Equipment Source of Equipment Source of Equipment 1 Neighbour 2 Co-operative 3 Local Farmers Association 4 Market / Trade Store 5 Development Project 6 Government 7 Large Scale Farm 8 Other 9 Not applicable Source of Finance Source of Finance Source of Finance Source of Finance Source of Finance 1 Sale of Farm Products 2 Other Income Generating Activities 3 Remittances 4 Bank Loan 5 Credit 8 Other 9 Not applicable Reason for not Using Reason for not Using Reason for not Using Reason for not Using Reason for not Using 1 Not Available 2 Price Too High 3 No Money to Buy / Rent 4 Too Much Labour Required 5 Equipment / Asset of No Use 8 Other 9 Not applicable Plan to use Next Year Plan to use Next Year Plan to use Next Year Plan to use Next Year Plan to use Next Year 1 Yes 2 No Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanja 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Sa 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 51 N.Unguja 52 S.Unguja 53 W.Urban 54 N.Pemba 55 S.Pemba District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rur 015 Dodoma Urb 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rur 035 Hai 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro 053 Kilombero 054 Ulanga 055 Morogoro Urb 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rur 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urb 091 Mtwara Rur 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urb 101 Tunduru 102 Songea Rur 103 Mbinga 104 Songea Urb 105 Namtumbo 111 Iringa Rur 112 Mufindi 113 Njombe 114 Ludewa 115 Makete 116 Iringa Urb 117 Kilolo 121 Chunya 122 Mbeya Rur 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi 127 Mbarali 128 Mbeya Urb 131 Iramba 132 Singida Rur 133 Manyoni 134 Singida Urb 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urb 151 Mpanda 152 Sumbawanga Rur 153 Nkasi 154 Sumbawanga Urb 161 Kibondo 162 Kasulu 163 Kigoma Rur 164 Kigoma Urb 171 Bariadi 172 Maswa 173 Shinyanga Rur 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urb 178 Kishapu 181 Karagwe 182 Bukoba Rur 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urb 191 Ukerewe 192 Magu 194 Kwimba 195 Sengerema 196 Geita 197 Missungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rur 204 Bunda 205 Musoma Urb 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto 511 Kaskazini-A 512 Kaskazini-B 521 Kati 522 Kusini 531 Magharibi 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of household head Household 1 Male 2 Female Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to household head Household 1 Head of Household 2 Spouse 3 Son / Daughter 4 Father / Mother 5 Grandchild 6 Other Relative 8 Others (Friends, Employees, etc) Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture household Household 1 Crops Only 2 Livestock Only 3 Pastoralist 4 Crops & Livestock Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Q122C4=1 (FILTER) Q122C4=1 (FILTER) Q122C4=1 (FILTER) Q122C4=1 (FILTER) Q122C4=1 (FILTER) Not Selected 1 Selected Village Code Village Code Village Code Village Code Village Code Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanja 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Sa 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 51 N.Unguja 52 S.Unguja 53 W.Urban 54 N.Pemba 55 S.Pemba Village weight Village weight Village weight Village weight Village weight During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/03 did any Hh member Borrow Money for A During the year 2002/2003 did any member of the household member borrow money for agriculture Household 1 Accessed formal Credit 2 did not Access formal Credit Source of Credit (A) Source of Credit (A) Source of Credit (A) Source of Credit (A) Source of Credit (A) Give details of the credit obtained during the agricultural year 2002/2003 Household 1 Family, Friend and Relative 2 Commercial Bank 3 Co-operative 4 Saving & Credit Society 5 Trader / Trade Store 6 Private Individual 7 Religious Organisation / NGO / Project 8 Other Provided to (A) Provided to (A) Provided to (A) Provided to (A) Provided to (A) Give details of the credit obtained during the agricultural year 2002/2003 Household 1 Male 2 Female Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Credit Use Credit Use Credit Use Credit Use Credit Use Give details of the credit obtained during the agricultural year 2002/2003 Household 1 Labour 2 Seeds 3 Fertilizers 4 Agro-chemicals 5 Tools / Equipment 6 Irrigation Structures 7 Livestock 8 Other Source "A" Source "A" Source "A" Source "A" Source "A" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Source "B" Source "B" Source "B" Source "B" Source "B" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Source "C" Source "C" Source "C" Source "C" Source "C" Give details of the credit obtained during the agricultural year 2002/2003 Household No 1 Yes Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Credit Value Credit Value Credit Value Credit Value Credit Value Give details of the credit obtained during the agricultural year 2002/2003 Household 9 Value of Credit 10 Value of Repayment 11 Period of Repayment Source "A" Source "A" Source "A" Source "A" Source "A" Give details of the credit obtained during the agricultural year 2002/2003 Household Source "B" Source "B" Source "B" Source "B" Source "B" Give details of the credit obtained during the agricultural year 2002/2003 Household Source "C" Source "C" Source "C" Source "C" Source "C" Give details of the credit obtained during the agricultural year 2002/2003 Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Tree Code Tree Code Tree Code Tree Code Tree Code Tree code Household 1 Senna Spp 2 Gravellis 3 Afzelia Quanzensis 4 Acacia Spp 5 Pinus Spp 6 Eucalyptus Spp 7 Cyprus Spp 8 Calophylum Inophyllum 9 Melicia excelsa 10 Casurina Equisetfilia 11 Tectona Grandis 12 Terminalia Catapa 13 Terminalia Ivorensis 14 Maesopsis Berchemoides 16 Leucena Spp 17 Syszygium Spp 18 Azadritachta Spp 19 Jakaranda Spp 20 Albizia Spp 21 Kyaya Spp 22 Sesbania Spp 23 Calliandra Spp 24 Moringa Spp 25 Saraca Spp 26 Trichilia Spp Number of Trees Number of Trees Number of Trees Number of Trees Number of Trees Number of trees Household Where Planted Where Planted Where Planted Where Planted Where Planted Where planted Household 1 Mostly on Field / Plot Boundaries 2 Mostly Scattered in Field 3 Mostly in Plantation / Coppice Main Use Main Use Main Use Main Use Main Use Main use Household 1 Planks / Timber 2 Poles 3 Charcoal 4 Fuel for Wood 5 Shade 6 Medicinal 8 Other Second Use Second Use Second Use Second Use Second Use Second use Household 1 Planks / Timber 2 Poles 3 Charcoal 4 Fuel for Wood 5 Shade 6 Medicinal 8 Other Number of Plank Trees Sold Number of Plank Trees Sold Number of Plank Trees Sold Number of Plank Trees Sold Number of Plank Trees Sold Number of Plank tree sold Household Number of Pole Trees Sold Number of Pole Trees Sold Number of Pole Trees Sold Number of Pole Trees Sold Number of Pole Trees Sold Number of Poles tree sold Household Number of Poles hh Utilised Number of Poles hh Utilised Number of Poles hh Utilised Number of Poles hh Utilised Number of Poles hh Utilised Household utilised number of Poles Household Number of Timber hh Utilised Number of Timber hh Utilised Number of Timber hh Utilised Number of Timber hh Utilised Number of Timber hh Utilised Household utilised number of Timber Household Total Value (Tsh) Total Value (Tsh) Total Value (Tsh) Total Value (Tsh) Total Value (Tsh) Total value(Tsh) Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Extension Provider Extension Provider Extension Provider Extension Provider Extension Provider Extension provider Household 1 Governmant Extension 2 NGO / Development Project 3 Co-operative 4 Large Scale Farmer 5 Other Source of Extension Source of Extension Source of Extension Source of Extension Source of Extension Source of extension Household 1 Yes 2 No What is the Costs / yr What is the Costs / yr What is the Costs / yr What is the Costs / yr What is the Costs / yr If you pay for extension what is the cost/year Household Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact farmer/group member Household 1 Yes 2 No Number of Visit Number of Visit Number of Visit Number of Visit Number of Visit Number of visits by extension agency per year Household Number of message adopted Number of message adopted Number of message adopted Number of message adopted Number of message adopted Number of message adopted in last 3 years Household Quality of service Quality of service Quality of service Quality of service Quality of service Quality of Service Household 1 Very Good 2 Good 3 Average 4 Poor 5 No Good Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Extension Message Extension Message Extension Message Extension Message Extension Message Extension message Household 1 Spacing 2 Use of Agrochemicals 3 Erosion Control 4 Organic Fertilizer Use 5 Inorganic Fertilizer Use 6 Use of Improved Seed 7 Mechanisation / LST 8 Irrigation Technology 9 Crop Storage 10 Vermin Control 11 Agro-progressing 12 Agro-forestry 13 Beekeeping 14 Fish Farming 15 Other Received Advice Received Advice Received Advice Received Advice Received Advice Received Advice Household 1 Received Advice 2 Did Not Received Advice Adopted ? Adopted ? Adopted ? Adopted ? Adopted ? Adopted Household 1 Adopted Message 2 Did Not Adopt Message Source of Crop Extension Source of Crop Extension Source of Crop Extension Source of Crop Extension Source of Crop Extension Source of Crop extension Household 1 Government 2 NGO / Development Project 3 Cooperative 4 Large Scale Farm 8 Other 9 Not applicable Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Most Importance Most Importance Most Importance Most Importance Most Importance The 5 most important problems Household 1 1st Most Importance 2 2nd Most Importance 3 3rd Most Importance 4 4th Most Importance 5 5th Most Importance List of Livelihood List of Livelihood List of Livelihood List of Livelihood List of Livelihood List of constraints Household 1 Access to Land 2 Ownership of Land 3 Soil Cultivation 4 Soil Fertility 5 Access to Improved Seed 6 Irrigation Facilities 7 Access to Chemical Inputs 8 Cost of Inputs 9 Extension Services 10 Access to Forest Resources 11 Hunting and Gathering 12 Access to Potable Water 13 Access to Credit 14 Harvesting 15 Threshing 16 Storage 17 Processing 18 Marketing Information 19 Transport Costs 20 Destruction by Animals 21 Stealing 22 Pest and Disease 23 Local Government Taxation 24 Access to Off Farm Income Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Most importance Most importance Most importance Most importance Most importance The 5 least important problems Household 1 1st Least Importance 2 2nd Least Importance 3 3rd Least Importance 4 4th Least Importance 5 5th Least Importance List of Livelihood List of Livelihood List of Livelihood List of Livelihood List of Livelihood List of constraints Household 1 Access to Land 2 Ownership of Land 3 Soil Cultivation 4 Soil Fertility 5 Access to Improved Seed 6 Irrigation Facilities 7 Access to Chemical Inputs 8 Cost of Inputs 9 Extension Services 10 Access to Forest Resources 11 Hunting and Gathering 12 Access to Potable Water 13 Access to Credit 14 Harvesting 15 Threshing 16 Storage 17 Processing 18 Marketing Information 19 Transport Costs 20 Destruction by Animals 21 Stealing 22 Pest and Disease 23 Local Government Taxation 24 Access to Off Farm Income Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Type of Craft Type of Craft Type of Craft Type of Craft Type of Craft Type of craft Household 1 Oxen 2 Bulls 3 Cows 4 Donkeys Number Owned Number Owned Number Owned Number Owned Number Owned Number owned Household Number Used Number Used Number Used Number Used Number Used Number used Household Area Cultivated (acres) Area Cultivated (acres) Area Cultivated (acres) Area Cultivated (acres) Area Cultivated (acres) Area cultivated Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Cattle Type Cattle Type Cattle Type Cattle Type Cattle Type Cattle type Household 1 Bulls 2 Cows 3 Steers 4 Heifers 5 Male Calves 6 Female Calves Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigeneous Household Number of Improved Beef Number of Improved Beef Number of Improved Beef Number of Improved Beef Number of Improved Beef Number of improved Beef Household Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of improved Diary Household Total Cattle Total Cattle Total Cattle Total Cattle Total Cattle Total Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Cattle Intake Cattle Intake Cattle Intake Cattle Intake Cattle Intake Cattle intake during 2002/2003 Household 1 Bulls 2 Cows 3 Steers 4 Heifers 5 Male Calves 6 Female Calves Number Purchased Number Purchased Number Purchased Number Purchased Number Purchased Number purchased Household Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number given/obtained Household Number Born Number Born Number Born Number Born Number Born Number born Household Total Cattle Intake Total Cattle Intake Total Cattle Intake Total Cattle Intake Total Cattle Intake Total intake of Cattle Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per Head Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Cattle Type Cattle Type Cattle Type Cattle Type Cattle Type Cattle type Household 1 Bulls 2 Cows 3 Steers 4 Heifers 5 Male Calves 6 Female Calves Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number sold/traded Household Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number consumed by Household Household Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number given away/ stolen Household Number Died Number Died Number Died Number Died Number Died Number died Household Total Cattle Offtake Total Cattle Offtake Total Cattle Offtake Total Cattle Offtake Total Cattle Offtake Total Cattle offtake Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Disease Disease Disease Disease Disease Disease/parasite Household 1 Tick Borne Disease 2 Contagious Bovine Pleuro Pneumonia 3 Trypanasomiasis 4 Lumpyskin Diseases 5 Helmenthiosis 6 Foot & Mouth Disease Number Infected Number Infected Number Infected Number Infected Number Infected Number infected Household Number Treated Number Treated Number Treated Number Treated Number Treated Number treated Household Number Recovered Number Recovered Number Recovered Number Recovered Number Recovered Number recovered Household Number Died Number Died Number Died Number Died Number Died Number died Household Last Vaccination Last Vaccination Last Vaccination Last Vaccination Last Vaccination Last vaccinated Household Preprinted 'X' 1 2003 2 2002 3 2001 4 2000 5 Before 2000 6 Not vaccinated Main Source Main Source Main Source Main Source Main Source Main source Household Preprinted 'X' 1 Private Vet Clinic 2 District Vet Clinic 3 NGO / Project 8 Other 9 Not applicable Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Season Season Season Season Season Season Household 1 Wet Season 2 Dry Season Litres of Milk / day Litres of Milk / day Litres of Milk / day Litres of Milk / day Litres of Milk / day Litres of milk/day Household Number of Cattle Milked / day Number of Cattle Milked / day Number of Cattle Milked / day Number of Cattle Milked / day Number of Cattle Milked / day Number of Cattle milked/day Household Values per Litre Values per Litre Values per Litre Values per Litre Values per Litre Value/litre Household Sold to Sold to Sold to Sold to Sold to Sold to Household 1 Neighbor 2 Local Market 3 Secondary Market 4 Processing Industry 5 Largescale Farm 6 Trader at Farm 7 Did not Sell 8 Other Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold/day(litres) Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Goat Type Goat Type Goat Type Goat Type Goat Type Goat type Household 1 Billy Goat 2 Castrated Goat 3 She Goat 4 Male Kid 5 She Kid Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigeneous Household Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of Improved for Meat Number of improved for meat Household Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of Improved Dairy Number of improved Dairy Household Total Goat Total Goat Total Goat Total Goat Total Goat Total Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Goat Intake Goat Intake Goat Intake Goat Intake Goat Intake Goat intake during 2002/2003 Household 1 Ram 2 Castrated Goat 3 She Goat 4 Male Kid 5 She Kid Number Purchased Number Purchased Number Purchased Number Purchased Number Purchased Number purchased Household Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number given/obtained Household Number Born Number Born Number Born Number Born Number Born Number Born Household Total Goat Intake Total Goat Intake Total Goat Intake Total Goat Intake Total Goat Intake Total intake of Goats Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Goat Type Goat Type Goat Type Goat Type Goat Type Goat type Household 1 Ram 2 Castrated Goat 3 She Goat 4 Male Kid 5 She Kid Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number sold/traded Household Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number consumed by household Household Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number given away/stolen Household Number Died Number Died Number Died Number Died Number Died Number died Household Total Goat Offtake Total Goat Offtake Total Goat Offtake Total Goat Offtake Total Goat Offtake Total Goat offtake Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Disease Disease Disease Disease Disease Disease/parasite Household 1 Foot Rot 2 Contagious Caprine Pleura Pneumonia 3 Helminthiosis 4 Helminsomeasis 5 Foot & Mouth Disease Number Infected Number Infected Number Infected Number Infected Number Infected Number infected Household Number Treated Number Treated Number Treated Number Treated Number Treated Number treated Household Number Recovered Number Recovered Number Recovered Number Recovered Number Recovered Number recovered Household Number Died Number Died Number Died Number Died Number Died Number died Household Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last vaccinated Household Preprinted 'X' 1 2003 2 2002 3 2001 4 2000 5 Before 2000 6 Not vaccinated Main Source Main Source Main Source Main Source Main Source Main source Household Preprinted 'X' 1 Private Vet Clinic 2 District Vet Clinic 3 NGO / Project 8 Other 9 Not applicable Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Season Season Season Season Season Season Household 1 Wet Season 2 Dry Season Litres of Milk per day Litres of Milk per day Litres of Milk per day Litres of Milk per day Litres of Milk per day Litres of Milk/day Household Number of Goat Milked per day Number of Goat Milked per day Number of Goat Milked per day Number of Goat Milked per day Number of Goat Milked per day Number of Goats Milked/day Household Average Value Per Litre Average Value Per Litre Average Value Per Litre Average Value Per Litre Average Value Per Litre Value/litre Household Sold to Sold to Sold to Sold to Sold to Sold to Household 1 Neighbor 2 Local Market 3 Secondary Market 4 Processing Industry 5 Largescale Farm 6 Trader at Farm 7 Did not Sell 8 Other Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold per Day (Litre) Sold/day(litre) Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Sheep Type Sheep Type Sheep Type Sheep Type Sheep Type Sheep type Household 1 Ram 2 Castrated Sheep 3 She Sheep 4 Male Lamb 5 She Lamb Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of Indigenous Number of I ndigeneous Household Number of Improved for Mutton Number of Improved for Mutton Number of Improved for Mutton Number of Improved for Mutton Number of Improved for Mutton Number of improved for mutton Household Total Sheep Total Sheep Total Sheep Total Sheep Total Sheep Total Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Sheep Type Sheep Type Sheep Type Sheep Type Sheep Type Sheep type Household 1 Ram 2 Castrated Sheep 3 She Sheep 4 Male Lamb 5 She Lamb Number Purchased Number Purchased Number Purchased Number Purchased Number Purchased Number purchased Household Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number given/obtained Household Number Born Number Born Number Born Number Born Number Born Number Born Household Total Sheep Intake Total Sheep Intake Total Sheep Intake Total Sheep Intake Total Sheep Intake Total intake of Sheep Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Sheep Type Sheep Type Sheep Type Sheep Type Sheep Type Sheep type Household 1 Ram 2 Castrated Sheep 3 She Sheep 4 Male Lamb 5 She Lamb Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number sold/traded Household Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number consumed by household Household Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number given away/stolen Household Number Died Number Died Number Died Number Died Number Died Number died Household Total Sheep Offtake Total Sheep Offtake Total Sheep Offtake Total Sheep Offtake Total Sheep Offtake Total Sheep offtake Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Size of Holding (Ha) Planted Area Class Planted Area Class Planted Area Class Planted Area Class Planted Area Class 1 Households Without Planted Area 2 0.01 - 0.50 3 0.51 - 1.00 4 1.01 - 1.50 5 1.51 - 2.00 6 2.01 - 2.50 7 2.51 - 3.00 8 3.01 - 3.50 9 3.51 - 4.00 10 4.01 -4.50 11 4.51 -5.00 12 Above 5 Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Disease Disease Disease Disease Disease Disease/parasite Household 1 Foot Rot 2 Contagious Caprine Pleura Pneumonia 3 Helminthiosis 4 Helminsomeasis 5 Foot & Mouth Disease Number Infected Number Infected Number Infected Number Infected Number Infected Number infected Household Number Treated Number Treated Number Treated Number Treated Number Treated Number treated Household Number Recovered Number Recovered Number Recovered Number Recovered Number Recovered Number recovered Household Number Died Number Died Number Died Number Died Number Died Number died Household Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last vaccinated Household 1 2003 2 2002 3 2001 4 2000 5 Before 2000 6 Not vaccinated Main Source Main Source Main Source Main Source Main Source Main source Household 1 Private Vet Clinic 2 District Vet Clinic 3 NGO / Project 8 Other 9 Not applicable Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Pig Type Pig Type Pig Type Pig Type Pig Type Pig type Household 1 Boar 2 Castrated Male 3 Sow / Gilt 4 Male Piglet 5 She Piglet Number of Pig Number of Pig Number of Pig Number of Pig Number of Pig Number of Pig Household Number of Pig Number of Pig Number of Pig Number of Pig Number of Pig Number of Pig Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Pig Type Pig Type Pig Type Pig Type Pig Type Pig type Houeshold 1 Boar 2 Castrated Male 3 Sow / Gilt 4 Male Piglet 5 She Piglet Number Purchased Number Purchased Number Purchased Number Purchased Number Purchased Number purchased Houeshold Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number Given / Obtained Number given/obtained Houeshold Number Born Number Born Number Born Number Born Number Born Number Born Houeshold Total Pig Intake Total Pig Intake Total Pig Intake Total Pig Intake Total Pig Intake Total Pig increase Houeshold Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Houeshold Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Pig Type Pig Type Pig Type Pig Type Pig Type Pig type Household 1 Boar 2 Castrated Male 3 Sow / Gilt 4 Male Piglet 5 She Piglet Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number Sold / Traded Number sold/traded Household Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number Consumed by HH Number consumed by household Household Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number Given Away/Stolen Number given away/stolen Household Number Died Number Died Number Died Number Died Number Died Number died Household Total Pig Offtake Total Pig Offtake Total Pig Offtake Total Pig Offtake Total Pig Offtake Total Pig offtake Household Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average Value per Head Average value per head Household Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Disease Disease Disease Disease Disease Disease/parasite Household 1 Anthrax 2 African Swine Fever 3 Anemia 4 Worms Number Infected Number Infected Number Infected Number Infected Number Infected Number infected Household Number Treated Number Treated Number Treated Number Treated Number Treated Number treated Household Number Recovered Number Recovered Number Recovered Number Recovered Number Recovered Number recovered Household Number Died Number Died Number Died Number Died Number Died Number died Household Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last Vaccinated Last vaccinated Household 1 2003 2 2002 3 2001 4 2000 5 Before 2000 6 Not vaccinated Main Source Main Source Main Source Main Source Main Source Main source Household 1 Private Vet Clinic 2 District Vet Clinic 3 NGO / Project 8 Other 9 Not applicable Village weight Village weight Village weight Village weight Village weight Village Code Village Code Village Code Village Code Village Code Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of head of household Household 1 Male 2 Female Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of Respondent to Head hh Relationship of respondent to head of household Household 1 Head of Household 2 Spouse 3 Son / Daughter 4 Father / Mother 5 Grandchild 6 Other Relative 8 Others (Friends, Employees, etc) Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of Agriculture Household Type of agriculture Household Household 1 Crops Only 2 Livestock Only 3 Pastoralist 4 Crops & Livestock Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 02/03? Did you deworm your animals during 2002/03 Household 1 Yes 2 No Dewormed Cattles Dewormed Cattles Dewormed Cattles Dewormed Cattles Dewormed Cattles Which animals did you deworm? Household 1 Yes Dewormed Goats Dewormed Goats Dewormed Goats Dewormed Goats Dewormed Goats Which animals did you deworm? Household 1 Yes 2 No Dewormed Sheep Dewormed Sheep Dewormed Sheep Dewormed Sheep Dewormed Sheep Which animals did you deworm? Household 1 Yes Dewormed Pigs Dewormed Pigs Dewormed Pigs Dewormed Pigs Dewormed Pigs Which animals did you deworm? Household 1 Yes Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a TICK problem? Do you normally encounter a tick problem Household 1 Yes 2 No Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which methods of TICK control did you use Which method of tick control did you use Household 1 None 2 Spraying 3 Dipping 4 Smearing 5 Other Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a TSETSEFLY problem? Do you normally encounter a tsetsefly problem Household 1 Yes 2 No Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which methods of control did you use? Which method of tick control did you use Household 1 None 2 Spray 3 Dipping 4 Trapping 8 Other Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanja 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Sa 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara 51 N.Unguja 52 S.Unguja 53 W.Urban 54 N.Pemba 55 S.Pemba District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rur 015 Dodoma Urb 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rur 035 Hai 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro 053 Kilombero 054 Ulanga 055 Morogoro Urb 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rur 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urb 091 Mtwara Rur 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urb 101 Tunduru 102 Songea Rur 103 Mbinga 104 Songea Urb 105 Namtumbo 111 Iringa Rur 112 Mufindi 113 Njombe 114 Ludewa 115 Makete 116 Iringa Urb 117 Kilolo 121 Chunya 122 Mbeya Rur 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi 127 Mbarali 128 Mbeya Urb 131 Iramba 132 Singida Rur 133 Manyoni 134 Singida Urb 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urb 151 Mpanda 152 Sumbawanga Rur 153 Nkasi 154 Sumbawanga Urb 161 Kibondo 162 Kasulu 163 Kigoma Rur 164 Kigoma Urb 171 Bariadi 172 Maswa 173 Shinyanga Rur 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urb 178 Kishapu 181 Karagwe 182 Bukoba Rur 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urb 191 Ukerewe 192 Magu 194 Kwimba 195 Sengerema 196 Geita 197 Missungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rur 204 Bunda 205 Musoma Urb 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto 511 Kaskazini-A 512 Kaskazini-B 521 Kati 522 Kusini 531 Magharibi 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Growing Crops Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Total Number of Household Rearing Livestock Animal Type Animal Type Animal Type Animal Type Animal Type Animal type Household 1 Indigenous Chicken 2 Layer 3 Broiler 4 Ducks 5 Turkeys 6 Rabbits 7 Donkeys 8 Horse 9 Other Current Number Current Number Current Number Current Number Current Number Current number Household Sold Sold Sold Sold Sold Number sold Household Average Value per head Average Value per head Average Value per head Average Value per head Average Value per head Average value per head Household Consumed Consumed Consumed Consumed Consumed Number consumed Household Average Value per head Average Value per head Average Value per head Average Value per head Average Value per head Average value per head Household Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara Village weight Village weight Village weight Village weight Village weight District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Chicken Diseases Chicken Diseases Chicken Diseases Chicken Diseases Chicken Diseases Chicken diseases Household 1 Newcastle Disease 2 Bursal Infection 3 Coccidiosis 4 Coryza 5 Fowl Typhoid Number Infected Number Infected Number Infected Number Infected Number Infected Number infected Household Number Treated Number Treated Number Treated Number Treated Number Treated Number treated Household Number Died Number Died Number Died Number Died Number Died Number died Household Number Recovered Number Recovered Number Recovered Number Recovered Number Recovered Number recovered Household Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara Village weight Village weight Village weight Village weight Village weight District District District District District 011 Kondoa 012 Mpwapwa 013 Kongwa 014 Dodoma Rural 015 Dodoma Urban 021 Monduli 022 Arumeru 023 Arusha 024 Karatu 025 Ngorongoro 031 Rombo 032 Mwanga 033 Same 034 Moshi Rural 035 Hai 036 Moshi Urban 041 Lushoto 042 Korogwe 043 Muheza 044 Tanga 045 Pangani 046 Handeni 047 Kilindi 051 Kilosa 052 Morogoro Rural 053 Kilombero 054 Ulanga 055 Morogoro Urban 056 Mvomero 061 Bagamoyo 062 Kibaha 063 Kisarawe 064 Mkuranga 065 Rufiji 066 Mafia 071 Kinondoni 072 Ilala 073 Temeke 081 Kilwa 082 Lindi Rural 083 Nachingwea 084 Liwale 085 Ruangwa 086 Lindi Urban 091 Mtwara Rural 092 Newala 093 Masasi 094 Tandahimba 095 Mtwara Urban 101 Tunduru 102 Songea Rural 103 Mbinga 104 Songea Urban 105 Namtumbo 111 Iringa Rural 112 Mufindi 113 Makete 114 Njombe 115 Ludewa 116 Iringa Urban 117 Kilolo 121 Chunya 122 Mbeya Rural 123 Kyela 124 Rungwe 125 Ileje 126 Mbozi' 127 Mbarali 128 Mbeya Urban 131 Iramba 132 Singida Rural 133 Manyoni 134 Singida Urban 141 Nzega 142 Igunga 143 Uyui 144 Urambo 145 Sikonge 146 Tabora Urban 151 Mpanda 152 Sumbawanga Rural 153 Nkansi 154 Sumbawanga Urban 161 Kibondo 162 Kasulu 163 Kigoma Rural 164 Kigoma Urban 171 Bariadi 172 Maswa 173 Shinyanga Rural 174 Kahama 175 Bukombe 176 Meatu 177 Shinyanga Urban 178 Kishapu 181 Karagwe 182 Bukoba Rural 183 Muleba 184 Biharamulo 185 Ngara 186 Bukoba Urban 191 Ukerewe 192 Magu 193 Nyamagana 194 Kwimba 195 Sengerema 196 Geita 197 Misungwi 198 Ilemela 201 Tarime 202 Serengeti 203 Musoma Rural 204 Bunda 205 Musoma Urban 211 Babati 212 Hanang 213 Mbulu 214 Simanjiro 215 Kiteto Product Name Product Name Product Name Product Name Product Name Product name Household 1 Eggs 2 Hides 3 Skins Sold Sold Sold Sold Sold Sold Household Average Value Sold Per Unit Average Value Sold Per Unit Average Value Sold Per Unit Average Value Sold Per Unit Average Value Sold Per Unit Average value sold per unit Household Consumed / Utilised Consumed / Utilised Consumed / Utilised Consumed / Utilised Consumed / Utilised Number consumed/utilised Household Average Value Consumed/Utilised Per Unit Average Value Consumed/Utilised Per Unit Average Value Consumed/Utilised Per Unit Average Value Consumed/Utilised Per Unit Average Value Consumed/Utilised Per Unit Average value consumed/utilised per unit Household Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Importance of Outlets Importance of Outlets Importance of Outlets Importance of Outlets Importance of Outlets Importance of outlet Household 1 1st Importance 2 2nd Importance 3 3rd Importance 4 4th Importance 5 5th Importance Outlets for Cattle Outlets for Cattle Outlets for Cattle Outlets for Cattle Outlets for Cattle Outlets for Cattle Household 1 Trader at Farm 2 Local Market 3 Secondary Market / Auction 4 Neighbor 5 Abbattoir / Factory 6 Another Farmer 8 Other Outlets for Goat Outlets for Goat Outlets for Goat Outlets for Goat Outlets for Goat Outlets for Goat Household 1 Trader at Farm 2 Local Market 3 Secondary Market / Auction 4 Neighbor 5 Abbattoir / Factory 6 Another Farmer 8 Other Outlets for Sheep Outlets for Sheep Outlets for Sheep Outlets for Sheep Outlets for Sheep Outlets for Sheep Household 1 Trader at Farm 2 Local Market 3 Secondary Market / Auction 4 Neighbor 5 Abbattoir / Factory 6 Another Farmer 8 Other Outlets for Pigs Outlets for Pigs Outlets for Pigs Outlets for Pigs Outlets for Pigs Outlets for Pigs Household 1 Trader at Farm 2 Local Market 3 Secondary Market / Auction 4 Neighbor 5 Abbattoir / Factory 6 Another Farmer 8 Other Outlet for Chickens Outlet for Chickens Outlet for Chickens Outlet for Chickens Outlet for Chickens Outlets for Chickens Household 1 Trader at Farm 2 Local Market 3 Secondary Market / Auction 4 Neighbor 5 Abbattoir / Factory 6 Another Farmer 8 Other Village weight Village weight Village weight Village weight Village weight Type of Structure/Accessory Type of Structure/Accessory Type of Structure/Accessory Type of Structure/Accessory Type of Structure/Accessory Type of structure/accessory Household 1 Cattle Dip 2 Spray Race 3 Hand Powered Sprayer 4 Cattle Rush 5 Primary Market 6 Secondary Market 7 Abattoir 8 Slaughter Slab 9 Hide & Skin Shed 10 Input Supply 11 Veterinary Clinic 12 Village Holding Ground 13 Village Watering Point / Dam 14 Drencher Source of Structure Source of Structure Source of Structure Source of Structure Source of Structure Source of structure Household 1 Owns 2 Co-operative 3 Local Farmers Association 4 Government Extension / Veterinary 5 Development Project 6 NGOs 7 Large Scale Farm 8 Other 9 Not applicable Distance to Structure Distance to Structure Distance to Structure Distance to Structure Distance to Structure Distance to structure(km) Household Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of Head of Household Sex of head of Household Household 1 Male 2 Female Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Production Unit Number Production Unit Number Production Unit Number Production Unit Number Production Unit Number Production unit number Household 1 First Unit 2 Second Unit 3 Third Unit Fish Farming System Fish Farming System Fish Farming System Fish Farming System Fish Farming System Fish farming system Household 1 Natural Pond 2 Dug out Pond 3 Natural Lake 4 Water Resevoir 5 Cages 8 Other Size of Unit Size of Unit Size of Unit Size of Unit Size of Unit Size of unit/pond Household Source of Fingerling Source of Fingerling Source of Fingerling Source of Fingerling Source of Fingerling Source of fingerling Household 1 Own Pond 2 Government Institution 3 NGOs / Project 4 Neighbour 5 Private Trader 8 Other Frequency of stocking Frequency of stocking Frequency of stocking Frequency of stocking Frequency of stocking Frequency of stocking Household Number of Tilapia Number of Tilapia Number of Tilapia Number of Tilapia Number of Tilapia Number of stocked fish: Tilapia Household Number of Carp Number of Carp Number of Carp Number of Carp Number of Carp Number of stocked fish: Carp Household Number of Others Number of Others Number of Others Number of Others Number of Others Number of stocked fish: Other Household Number of fish harvested Number of fish harvested Number of fish harvested Number of fish harvested Number of fish harvested Number of fish harvested Household Weight of fish harvested Weight of fish harvested Weight of fish harvested Weight of fish harvested Weight of fish harvested Weight of fish harvested Household Weight of Fish Sold Weight of Fish Sold Weight of Fish Sold Weight of Fish Sold Weight of Fish Sold Weight of fish sold Household Mainly Sold to Mainly Sold to Mainly Sold to Mainly Sold to Mainly Sold to Mainly sold to Household 1 Neighbor 2 Local Market 3 Secondary Market 4 Processing Industry 5 Large Scale Farm 6 Trader at Farm 7 Did not Sell 8 Other Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Livestock Extension Message Livestock Extension Message Livestock Extension Message Livestock Extension Message Livestock Extension Message Livestock extension message Household 1 Feeds and Proper Feeding 2 Housing (Goat, Dairy, Poultry, Pigs) 3 Proper Milking 4 Milk Hygene 5 Disease Control (Dipping / Spraying) 6 Herd / Flock Size & Selection 7 Pasture Establishment 8 Group Formation & Strengthening 9 Calf Rearing 10 Use of Improved Bulls 11 Other Livestock Extension Received Advice Received Advice Received Advice Received Advice Received Advice Received advice Household 1 Yes 2 No Adopted Adopted Adopted Adopted Adopted Adopted Household 1 Yes 2 No Source of Livestock Extension Source of Livestock Extension Source of Livestock Extension Source of Livestock Extension Source of Livestock Extension Source of Livestock extension Household 1 Government 2 NGO / Development Project 3 Co-operative 4 Large Scale Farmer 5 Other(former coding) 8 Other 9 not applicable Village weight Village weight Village weight Village weight Village weight Extension Provider Extension Provider Extension Provider Extension Provider Extension Provider Extension provider Household 1 Government 2 NGO / Development Project 3 Co-operative 4 Large Scale Farmer 5 Other What is the Cost / Year What is the Cost / Year What is the Cost / Year What is the Cost / Year What is the Cost / Year If you pay for extension, what is the cost/year Household Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact Farmer / Group Member Contact farmer/group member Household 1 Yes 2 No Number of visit by extension agency / year Number of visit by extension agency / year Number of visit by extension agency / year Number of visit by extension agency / year Number of visit by extension agency / year Number of visit by extension agency/year Household Number of messages adopted in the last 3 yrs Number of messages adopted in the last 3 yrs Number of messages adopted in the last 3 yrs Number of messages adopted in the last 3 yrs Number of messages adopted in the last 3 yrs Number of messages adopted in the last 3 years Household Quality of Service Quality of Service Quality of Service Quality of Service Quality of Service Quality of service Household 1 Very Good 2 Good 3 Average 4 Poor 5 No Good Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Activity Activity Activity Activity Activity Activity Household 1 Land Clearing 2 Soil Preparation by Hand 3 Soil Preparation bu Oxen / Tractor 4 Planting 5 Weeding 6 Crop Protection 7 Harvesting 8 Crop Processing 9 Crop Marketing 10 Cattle Rearing 11 Cattle Herding 12 Cattle Marketing 13 Goat & Sheep Rearing 14 Goat & Sheep Herding 15 Goat & Sheep Marketing 16 Milking 17 Pig Rearing 18 Poultry Keeping 19 Collecting Water 20 Collecting Firewood 21 Pole Cutting 22 Timber Wood Cutting 23 Building / Maintaining Houses 24 Making Beer 25 Beekeeping 26 Fishing 27 Fish Farming 28 Off - farm Income Generation Carriedout by Household Carriedout by Household Carriedout by Household Carriedout by Household Carriedout by Household Tick if carried out by household Household 1 Yes 2 No Main responsibility Main responsibility Main responsibility Main responsibility Main responsibility Main responsibility Household 1 Head of Household Alone 2 Adults Males 3 Adult Female 4 Adults 5 Boys 6 Girls 7 Boys & Girls 8 All Household Members 9 Hired Labour Village weight Village weight Village weight Village weight Village weight Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Activity Activity Activity Activity Activity Activity Household 1 Crop Production 2 Livestock Production 3 Vegetable Production 4 Tree Logging for Firewood 5 Tree Logging for Poles 6 Tree Logging for Timber 7 Tree Logging for Charcoal 8 Fishing 9 Beekeeping 10 Permanent Employment / Off farm income 11 Temporary Employment / Off farm income 12 Remittances hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity Tick if household was involved in activity Household 1 Yes 2 No Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate percentage used for subsistence Household Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate percentage used for non-subsistence Household Village weight Village weight Village weight Village weight Village weight Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges 1 Fully auto-consumed (100%) 2 Mainly auto-consumed (75%-99%) 3 Both consumed and sold (25%-75%) 4 Mainly sold (0-24%) Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Activity Activity Activity Activity Activity Activity Household 1 Crop Production 2 Livestock Production 3 Vegetable Production 4 Tree Logging for Firewood 5 Tree Logging for Poles 6 Tree Logging for Timber 7 Tree Logging for Charcoal 8 Fishing 9 Beekeeping 10 Permanent Employment / Off farm income 11 Temporary Employment / Off farm income 12 Remittances hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity Tick if household was involved in activity Household 1 Yes 2 No Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate percentage used for subsistence Household Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate percentage used for non-subsistence Household Village weight Village weight Village weight Village weight Village weight Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges 1 Fully auto-consumed (100%) 2 Mainly auto-consumed (75%-99%) 3 Both consumed and sold (25%-75%) 4 Mainly sold (0-24%) Region Region Region Region Region 01 Dodoma 02 Arusha 03 Kilimanjaro 04 Tanga 05 Morogoro 06 Pwani 07 Dar es Salaam 08 Lindi 09 Mtwara 10 Ruvuma 11 Iringa 12 Mbeya 13 Singida 14 Tabora 15 Rukwa 16 Kigoma 17 Shinyanga 18 Kagera 19 Mwanza 20 Mara 21 Manyara District District District District District 511 North "A" 512 North "B" 521 Central 522 South 531 West 541 Wete 542 Micheweni 551 Chake 552 Mkoani Activity Activity Activity Activity Activity Activity Household 1 Crop Production 2 Livestock Production 3 Vegetable Production 4 Tree Logging for Firewood 5 Tree Logging for Poles 6 Tree Logging for Timber 7 Tree Logging for Charcoal 8 Fishing 9 Beekeeping 10 Permanent Employment / Off farm income 11 Temporary Employment / Off farm income 12 Remittances hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity hh was involved in activity Tick if household was involved in activity Household 1 Yes 2 No Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate % used for subsistance Estimate percentage used for subsistence Household Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate % used for non subsistance Estimate percentage used for non-subsistence Household Village weight Village weight Village weight Village weight Village weight Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges Estimate % used for non subsistence Ranges 1 Fully auto-consumed (100%) 2 Mainly auto-consumed (75%-99%) 3 Both consumed and sold (25%-75%) 4 Mainly sold (0-24%)