DDI-TZA-NBS-AASS-2014-V1.0 National Bureau of Statistics 2016-10-28 NADA version 1.0 (October 2016) Annual Agricultural Sample Survey Report 2014-2015 AASS 2014-2015 TZA-NBS-AASS-2014-2015-v01 National Bureau of Statistics Office of the Chief Government Statistician

Tanzania regional and district officials

Ministry of Livestock and Fisheries, Zanzibar President’s Office, Regional Administration and Local Governments Ministry of Industries, Trade and Investment The United States Agency for International Development United States Department of Agriculture Ministry of Agriculture, Livestock and Fisheries; Ministry of Agriculture and Natural Resource, Zanzibar Ministry of Agriculture, Food Security and Cooperatives Ministry of Livestock and Fisheries Developmen (c) 2014, National Bureau of Statistics NADA Government of Tanzania United States Agency for International Development United States Department of Agriculture Director General Agriculture Stistics Departmental Manager Desk Officer, AASS NADA Administrator Agricultural Survey [ag/oth] This is the first survey of its kind conducted in Tanzania using Point Sample Area Frame Methodology, therefore it limits the comparisons with the previous agriculture censuses and surveys data due to different methodologies applied. The survey collected detailed information on area and production for major crops, potentially livestock and fish farming Version 1.0 (October, 2016) The survey collected detailed information on area and production for major crops, potentially livestock and fish farming. These crops include maize, paddy, sorghum, wheat, bulrush millet, finger millet, soybeans, cotton and, tobacco. A brief summary of operators and farm characteristics is also given Tanzania National, Mainland (or Zanzibar), Regions physical locations A statistically sound sample of farm operators was selected using a the point sample area frame. A total of 21,210 sample points were selected. Of the 21,210 sample points, 15,281 points were completed for a 72% response rate. Sample survey data [ssd] The Scope the Annual Agriculture Sample Survey includes: - The Point Details, Farm Operator Details, Farm Area, Crops During Short Rainy Season Of 2014/15 Agriculture Year, Crops During Long Rainy Season Of 2014/15 Agriculture Year, Livestock And Fish Farming National Bureau of Statistics Office of the Chief government Statistician The point sample area frame was used to select a statistically sound sample of farm operators than the household-based sampling methods currently used. A total of 21,210 sample points were selected. This method was used as there were no reliable sampling frame identified as information on farm operators were not readily available for consistent monitoring or sampling. Face-to-face [f2f] The well structured questionnaire was used. It covered both large scale and household farming in detail . The following topics were covered ; Farm Ownership, Land Tenure, Crop Production, Crop Prices, Livestock Population and Fish Production. Data collection activities for the Survey took one month to complete from February to March, 2016. The only method used for data collection was face to face interview. Field work was monitored through a hierarchical system of supervisors at the top of which was the National Team, followed by the regional supervisors and enumerator team supervisors. The National Team included two senior supervisors who were responsible for overall direction of field operations and responded to queries raised outside the scope of the training exercise. The first check of the questionnaire was done by enumerators in the field, while the second check was done by enumerator team supervisors, followed by regional and national supervisors during the supervision period. Supervisory visits at all levels of supervision, focused on consistency checks of the questionnaires. Inconsistencies encountered were corrected, and where necessary, a return visit to the respondent was made by the enumerator to correct the information. All data were entered manually using CSPro by a staff hired specifically for editing and data entry. Prior to data entry, all questionnaires were cleaned manually to maintain the quality of the data. This involved checking to see if the questionnaire was complete, had correct identifications and correctly filled in information Of the 21,210 sample points, 15,281 points were completed giving out a 72% response rate Confidentiality of respondents 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; National Bureau of Statistics The data user shall acknowledge that any available intellectual property righht, including copyright and the data of Employment and Earnings Survey 2014 version 1.0 are owned by National Bureau of Statistics, Tanzania 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 Tanzania 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 The data user shall acknowledge that any available intellectual property righht, including copyright and the data of Employment and Earnings Survey 2014 version 1.0 are owned by National Bureau of Statistics, Tanzania LongCrop 12514 89 Goat Data related to Goat 11625 54 Sheep 5310 48 Pig 1075 36 OtherLivestock 32850 36 Cattle 21364 54 ShortCrop 8824 89 12514 1 55 20.247 17.441 12514 1 2 3 4 5 6 7 8 9 10 12514 11 421 121.09 79.568 12514 1 49 2.879 2.492 12514 1 801 15.295 69.046 12514 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 12514 1 825 385.833 221.663 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 12514 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 12514 1 2 12514 1 12514 1 2 12514 1 2 3 4 5 7681 12514 1 2 20 12494 242234650 84782127.7 118540065.64 12514 1 2 3 12514 1 2 12514 923700 170.25 8500.229 12514 28023 92.698 1027.452 12514 304 0.803 7.347 12514 2000 1.266 36.361 12514 28023 92.235 1024.498 12514 1 12514 1 2 3 12514 1 2 3 4 5 6 7 8 9 10 12283 231 1 31 13.927 9.856 12344 170 1 2 3 4 5 6 7 8 10 11 12 13 23 24 25 26 27 28 29 Sysmiss 12361 153 2 3 4 23 25 27 2015 2016 2106 Sysmiss 11483 1031 1 31 13.389 8.767 11636 878 1 30 3.024 1.82 11666 848 2 3 8 12 17 22 23 27 28 2015 2016 Sysmiss 12175 339 1 2016 20.179 96.386 12340 174 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 30 31 Sysmiss 12418 96 1 3 4 8 12 13 14 16 31 2015 2016 Sysmiss 12283 231 1 2016 23.204 143.183 12415 99 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 20 Sysmiss 12478 36 4 6 8 10 15 18 19 20 2015 2016 Sysmiss 12514 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Pemba Kaskazini-Unguja Katavi Kigoma Kilimanjaro Kusini Unguja (South-Central) Kusini-Pemba Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 12514 Cropland Forestland Grassland Settlement Wetland 12514 431.4 9489692.3 1504282.762 1876568.219 12514 1005 55368 20632.437 17355.085 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 12514 Not Selected 1 Selected 12514 2 304 208.619 77.735 12506 8 0.93 32299699.2 299454.53 736570.57 Crop Crop Crop Crop Crop 12514 11 998 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 18 Black Pepper 19 Seawood 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 Pea 35 Chick peas 36 Bambara nuts 37 Field Peas 38 Malay Apple 39 Star Fruit 41 Sunflower 42 Sesame 43 Groundnut 44 Palm Oil 45 Coconut 46 Cashew nut 47 Soybeans 48 Castor Seed 50 Cotton 51 Tobacco 52 Pyrethrum 53 Sisal 54 Coffee 55 Tea 56 Cacao 57 Rubber 58 Wattle 59 Kapok 60 Sugarcane 61 Cardamom 62 Jute 63 Tamarind 64 Cinnamon 65 Nutmeg 66 Clove 67 Bread Fruit 68 Pomelo 69 Jackfruit 70 Passion Fruit 71 Banana 72 Avocado 73 Mango 74 Papaw 75 Pineapple 76 Orange 77 Grapefruit 78 Grapes 79 Mandarin 80 Guava 81 Plums (Matunda damu) 82 Apples 83 Pears 84 Peach (Mifyoks) 86 Cabbage 87 Tomatoes 88 Spinach 89 Carrot 90 Chilis 91 Amaranth 92 Pumpkins 93 Cucumbers 94 Eggplant 95 Watermelon 96 Cauliflower 97 Durian 98 Bilimbi 99 Rambutan 100 Okra 101 Fiwi 200 Custard Apple 201 God Fruit 202 Mitobo 203 Plum (Zambarau) 204 Peach (Pitches) 205 Pomegranate 210 Date 211 Tungamaa 212 Vanilla 300 Green Tomato 301 Monkeybread 302 Bamboo 303 Firewood/Fodder 304 Timber 305 Medicinal Plant 306 Fence Tree 851 Lime 852 Lemon 998 Other Planted Acres - Long Planted Acres - Long Planted Acres - Long Planted Acres - Long Planted Acres - Long 12514 0.01 13510 35.327 481.085 Harvested Acres - Long Harvested Acres - Long Harvested Acres - Long Harvested Acres - Long Harvested Acres - Long 12514 10694.5 22.403 330.248 Quantity Harvested (KG) - Long Quantity Harvested (KG) - Long Quantity Harvested (KG) - Long Quantity Harvested (KG) - Long Quantity Harvested (KG) - Long 12514 24820700 8468.866 260636.791 Quantity Sold (KG) - Long Quantity Sold (KG) - Long Quantity Sold (KG) - Long Quantity Sold (KG) - Long Quantity Sold (KG) - Long 12514 24820700 6288.36 251379.961 Value Sold (Tsh) - Long Value Sold (Tsh) - Long Value Sold (Tsh) - Long Value Sold (Tsh) - Long Value Sold (Tsh) - Long 12514 26061735000 7749153.312 268604302.576 Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary 12514 Duplicate Case 1 Primary Case 12514 1 376 100.275 91.734 12514 1 160 43.876 43.644 Exp Planted (ha) - Long Exp Planted (ha) - Long Exp Planted (ha) - Long Exp Planted (ha) - Long Exp Planted (ha) - Long 12506 8 0.0146 106925.765 925.877 1912.3 Exp Harvested (ha) - Long Exp Harvested (ha) - Long Exp Harvested (ha) - Long Exp Harvested (ha) - Long Exp Harvested (ha) - Long 12506 8 66828.603 803.251 1648.849 Exp Quant Harvest (tonne) - Long Exp Quant Harvest (tonne) - Long Exp Quant Harvest (tonne) - Long Exp Quant Harvest (tonne) - Long Exp Quant Harvest (tonne) - Long 12506 8 315591.741 922.672 4834.99 Exp Quant Sold (tonne) - Long Exp Quant Sold (tonne) - Long Exp Quant Sold (tonne) - Long Exp Quant Sold (tonne) - Long Exp Quant Sold (tonne) - Long 12513 1 315591.741 337.262 3234.617 Exp Value Sold (Tsh) - Long Exp Value Sold (Tsh) - Long Exp Value Sold (Tsh) - Long Exp Value Sold (Tsh) - Long Exp Value Sold (Tsh) - Long 12513 1 157795870686.65 279946586.117 2151250206.154 12506 8 0.0143 107665.664 1238.282 2724.558 Average Price (Tsh/KG) - Long Average Price (Tsh/KG) - Long Average Price (Tsh/KG) - Long Average Price (Tsh/KG) - Long Average Price (Tsh/KG) - Long 5757 6757 100 18000 1082.786 1392.485 Yield (KG/ac) - Long Yield (KG/ac) - Long Yield (KG/ac) - Long Yield (KG/ac) - Long Yield (KG/ac) - Long 11302 1212 432000 642.649 4377.057 11405 1109 100 14000 960.312 1041.046 12363 151 0.0154 55.599 1.424 2.05 12506 8 0.000214 11374477252.648 4209895.3 107478132.896 12506 8 4443540517.946 3137262.009 50253131.938 12506 8 99274170404.889 23911105.966 1150713182.086 12513 1 99274170404.889 10526983.157 890321245.582 12513 1 2.4833e+22 4.67829e+18 2.46808e+20 12506 8 0.000201 11536385161.014 8592866.296 132804529.19 12514 0.0732 438798.412 99324.543 123129.356 12514 360623.352 86033.493 104847.729 12514 536541.458 93520.115 127367.479 12514 390421.104 27723.841 44655.399 12514 204472892546.109 21272078297.374 32359924607.444 12514 0.723 481166.66 115129.901 119358.412 12514 0.00536 11543061701.99 344508228.237 860074992.871 12514 4546370980.331 260159126.686 505682228.811 12514 102244961041.014 1412379874.298 6863016823.477 12514 102244961041.014 239559999.991 2810786709.676 12514 2.49234e+22 1.42382e+20 8.3094e+20 12514 0.523 12102446167.053 667715674.061 1296688503.189 12514 5.496 100 23.796 19.907 12438 76 5.942 100 24.932 20.383 12438 76 9.198 100 31.601 21.014 11907 607 7.923 100 42.231 21.924 11907 607 8.18 100 45.013 21.982 12514 7.294 100 25.539 19.598 11907 607 0.69 1.855 1.093 0.2 12438 76 0.557 4.494 1.449 0.627 11625 1 55 17.643 12.594 11625 1 2 3 4 5 6 7 8 9 10 11625 11 401 123.742 77.811 11625 1 33 2.978 2.537 11625 1 606 10.199 53.157 11625 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 11625 1 816 390.611 217.097 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 11625 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 11625 1 Head of Goats Head of Goats Head of Goats Head of Goats Head of Goats 11625 1 651 19.766 34.798 11625 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Pemba Kaskazini-Unguja Katavi Kigoma Kilimanjaro Kusini Unguja (South-Central) Kusini-Pemba Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 11625 Cropland Forestland Grassland Settlement Wetland 11625 431.4 9489692.3 1672109.655 1718017.627 11625 1005 55368 18033.622 12556.449 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 11625 Not Selected 1 Selected 11625 2 304 229.393 69.925 11610 15 13.825 20080806.4 265156.232 600836.902 Exp Head of Goats Exp Head of Goats Exp Head of Goats Exp Head of Goats Exp Head of Goats 11610 15 4.423 2219435.336 15296.43 56225.345 11610 15 0.0856 66055.284 1071.745 2174.868 11625 1 135 56.957 38.507 11625 11.062 3741488.145 686260.594 572313.82 11625 1.901 193273.324 52905.446 43600.143 11610 15 116.285 4889648482159.25 3336762059.075 101879315079.848 11610 15 0.0191 4351842787.25 5592198.382 94220984.254 11625 11716587.599 5415875756792.46 269494916407.885 974144051079.356 11625 162387.311 4397895472.058 413506595.209 545705238.453 11625 15.996 143899.398 552.834 4523.386 11625 14.329 112695.32 490.016 3459.968 11625 1 Billy Goat 2 Castrated Goat 3 Female Goat 4 Male Kid 5 Female Kid 11625 Billy Goat Castrated Goat Male Kid She Goat She Kid 11625 200 3.83 8.78 11625 1 2 3 4 5 6 7 8 9 13 14 20 29 30 33 35 40 53 70 84 267 11625 1 2 3 4 5 6 9 10 11625 354 3.953 9.713 11614 11 1383544.105 3023.099 16280.321 11625 66055.284 26.856 1081.26 11625 22579.099 8.243 239.373 11614 11 1383544.105 3058.232 16400.553 11614 11 1902770596717.99 270611253.357 17758466934.996 11625 4353700350.853 1169705.666 69951173.755 11625 508370662.649 57295.999 4727786.968 11614 11 1902770596717.99 274721123.116 17761506997.975 11625 2668278.217 339947.808 358642.435 11625 66055.284 1165.926 5221.1 11625 22579.099 538.186 2086.982 11625 2681393.295 341651.919 359703.979 11625 2046644780151.05 22063757626.811 169557817031.514 11625 4363300572.133 26694942.403 312863849.615 11625 509815718.54 1836923.774 20930458.954 11625 2046613051411.78 22149611820.467 169553144328.384 11593 32 9.591 100 27.488 16.327 3262 8363 46.572 100 91.04 14.476 1565 10060 39.367 100 74.156 20.956 11593 32 9.591 100 27.399 16.325 5310 1 53 15.35 8.411 5310 1 2 3 4 5 6 7 8 10 5310 11 421 119.06 75.069 5310 1 24 3.015 2.374 5310 1 377 6.008 27.041 5310 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 5310 1 801 405.277 213.298 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 5310 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 5310 1 Head of Sheep Head of Sheep Head of Sheep Head of Sheep Head of Sheep 5310 1 2577 34.113 195.61 5310 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Unguja Katavi Kigoma Kilimanjaro Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 5310 Cropland Forestland Grassland Settlement Wetland 5310 2234.6 9489692.3 1827420.215 1742257.888 5310 1005 53136 15755.559 8423.432 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 5310 Not Selected 1 Selected 5310 12 304 240.724 62.312 5305 5 13.825 4381223 213742.38 342266.052 Exp Head of Sheep Exp Head of Sheep Exp Head of Sheep Exp Head of Sheep Exp Head of Sheep 5305 5 1.202 1052069.997 11960.763 41224.833 5305 5 0.0856 20748.981 855.902 1377.886 5310 1 116 45.094 34.056 5310 40.851 2900998.941 931930.905 631492.818 5310 13.617 122625.504 73388.124 37271.333 5305 5 3.23 1096666548744.58 1814869023.845 34170016487.434 5305 5 0.0191 415892434.361 2492671.385 16024688.832 5310 1017.302 1386066923067.34 114628283532.068 320506166580.265 5310 113.034 618932894.943 175290345.901 126644895.558 5310 12.529 100 27.732 17.819 5310 10.344 100 22.357 14.77 5310 1 Rams 2 Castrated Sheep 3 Female Sheep 4 Male Lamb 5 Female Lamb 5310 Castrated Sheep Male lamb Ram She Sheep She lamb 5310 240 3.601 9.32 5310 1 2 3 4 5 8 10 11 17 20 24 27 32 75 76 150 324 500 564 1181 5310 1181 6.823 49.221 5305 5 490005.204 2384.672 10668.571 5310 6484.94 7.473 152.837 5305 5 490005.204 2392.153 10669.667 5305 5 237931620760.507 117862627.356 3437936682.765 5310 41805875.068 23393.839 695529.465 5305 5 237931620760.507 117915802.477 3437934148.82 5310 1312978.568 185687.751 203233.027 5310 10878.384 698.43 1778.042 5310 1312978.568 186386.181 203798.83 5310 303659055510.382 7362667646.736 33524521291.157 5310 51904975.251 1950182.322 6985323.49 5310 303659055510.382 7366575560.582 33524419394.094 5256 54 11.193 100 33.125 19.428 1274 4036 38.656 100 77.505 19.09 5256 54 11.131 100 33.053 19.417 1075 1 25 10.237 6.205 1075 1 2 3 4 5 6 7 8 9 1075 11 372 118.712 75.744 1075 1 27 3.102 2.52 1075 1 610 15.921 65.017 1075 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 1075 1 819 476.693 214.879 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 1075 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 1075 1 Head of Pigs Head of Pigs Head of Pigs Head of Pigs Head of Pigs 1075 1 400 9.4 30.18 1075 Dodoma Geita Iringa Kagera Katavi Kigoma Kilimanjaro Lindi Manyara Mara Mbeya Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 1075 Cropland Forestland Grassland Settlement Wetland 1075 7276.5 9489692.3 1813297.196 2053312.823 1075 1037 25604 10713.902 6227.328 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 1075 Not Selected 1 Selected 1075 12 304 214.856 71.856 1075 277.7 3629138.85 343292.596 474619.537 Exp Head of Pigs Exp Head of Pigs Exp Head of Pigs Exp Head of Pigs Exp Head of Pigs 1075 40.838 132570.629 8121.269 17104.522 1075 2.548 12302.166 1526.567 1872.079 1075 1 22 9.419 6.525 1075 129.851 621144.768 164690.263 191384.806 1075 64.926 75213.675 32183.672 25444.599 1075 1667.761 17201651503.492 354697930.206 1925632277.648 1075 16.678 148996225.92 5718152.527 16254157.19 1075 16861.35 42774402124.038 7602247255.241 14395022520.043 1075 4215.337 308536240.286 134394285.165 125063921.341 1075 32.637 100 42.191 15.648 1075 23.354 100 38.36 15.464 1075 1 Boars 2 Castrated Males 3 Sow/Gilt 4 Male Piglet 5 Female Piglet 1075 Boar Castrated male Male piglet She piglet Sow/Gilt 1075 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 26 30 33 40 45 60 100 200 1075 69167.285 1624.254 5379.354 1075 4760240399.886 31389042.538 249760852.53 1075 242992.632 32938.053 47847.501 1075 6550620901.439 686404296 1459200402.817 995 80 31.879 100 62.388 19.939 32850 1 55 22.461 16.419 32850 1 2 3 4 5 6 7 8 9 10 32850 11 391 128.834 79.507 32850 1 24 2.843 2.029 32850 1 801 10.753 52.168 32850 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 32850 1 825 369.956 220.873 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 32850 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 32850 1 32850 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Pemba Kaskazini-Unguja Katavi Kigoma Kilimanjaro Kusini Unguja (South-Central) Kusini-Pemba Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 32850 Cropland Forestland Grassland Settlement Wetland 32850 431.4 9489692.3 1416653.432 1630077.069 32850 1005 55368 22830.838 16338.965 ANY(Row,1,2,4) (FILTER) ANY(Row,1,2,4) (FILTER) ANY(Row,1,2,4) (FILTER) ANY(Row,1,2,4) (FILTER) ANY(Row,1,2,4) (FILTER) 32841 9 Not Selected 1 Selected Sysmiss 32850 2 304 216.458 78.201 32800 50 13.825 11667724.8 266180.844 538629.244 32800 50 0.0925 39153.439 1094.738 2008.865 32850 1 178 80.263 53.34 32850 6190.664 419314.129 193838.305 129046.196 32800 50 1.444 1499958525.748 4731668.302 39201565.739 32850 3452652.684 2985871071.852 810738550.904 893471104.592 32850 6.732 63.815 15.072 9.216 32841 9 1 Indigenous Chickens 2 Layers 3 Broilers 4 Ducks 5 Guinea Pigs 6 Turkeys 7 Rabbits 8 Donkeys 9 Horses 10 Dogs Sysmiss 32841 Broiler Dogs Donkeys Ducks Guinea pigs Horses Indigenous Chicken Layer Rabbits Turkeys Head of Animal Head of Animal Head of Animal Head of Animal Head of Animal 32841 9 20000 22.091 626.72 13691 19159 5124000 12539.248 251452.116 Exp Head of Animal Exp Head of Animal Exp Head of Animal Exp Head of Animal Exp Head of Animal 32836 14 3243961.897 2102.832 27419.75 Exp Eggs Exp Eggs Exp Eggs Exp Eggs Exp Eggs 13686 19164 278963094.611 112237.632 3149719.356 32836 14 10444308075088 745766434.485 62207089948.562 13686 19164 7.73942e+16 9921848960241.56 713966260797525 32841 9 5230464.053 319696.284 977499.785 19695 13155 278963094.611 11381557.746 36591393.905 32841 9 10563343244021.1 101853662824.911 807125340560.113 19695 13155 7.78204e+16 573062884440485 3.7518e+15 23763 9087 9.183 100 60.798 31.466 13703 19147 11.232 100 70.173 29.714 21364 1 55 20.559 15.06 21364 1 2 3 4 5 6 7 8 9 10 21364 11 401 122.518 77.869 21364 1 49 2.86 2.256 21364 1 602 8.04 39.553 21364 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 21364 1 819 381.546 219.273 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 21364 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 21364 1 Head of Cattle Head of Cattle Head of Cattle Head of Cattle Head of Cattle 21364 1445 27.11 69.318 21364 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Pemba Kaskazini-Unguja Katavi Kigoma Kilimanjaro Kusini Unguja (South-Central) Kusini-Pemba Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 21364 Cropland Forestland Grassland Settlement Wetland 21364 431.4 9489692.3 1550013.384 1683281.025 21364 1005 55368 20940.524 14993.864 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 21364 Not Selected 1 Selected 21364 3 304 221.875 72.05 21322 42 13.825 20080806.4 250281.965 544405.606 Exp Head of Cattle Exp Head of Cattle Exp Head of Cattle Exp Head of Cattle Exp Head of Cattle 21322 42 1323135.21 16478.862 48566.941 21322 42 0.0856 66055.284 1029.804 2003.305 21364 1 160 74.795 47.49 21364 20350.292 5458769.472 2663914.659 1676776.8 21364 1316.291 296507.743 162018.129 93199.178 21322 42 48.503 1745272010127.32 2515447602.091 42741973218.601 21322 42 0.0191 4346923408.326 4671144.848 82054079.85 21364 15258127.679 1803849699106.84 275465578137.192 324357536453.307 21364 527659.97 4386260196.849 433774015.086 460451394.632 21364 11.659 85.211 19.506 9.785 21364 7.498 81.548 14.025 10.27 21363 1 1 Oxen 2 Bulls 3 Cows 4 Steers 5 Heifers 6 Male Calves 7 Female Calves Sysmiss 21363 Castrated Bulls(Oxen Cows Female Calves Heifers Male Calves Steers Uncastrated Bulls 21363 1 690 3.477 11.506 21363 1 1 2 3 4 5 6 7 8 9 10 11 12 14 15 18 19 20 22 26 27 29 37 40 45 51 71 86 90 150 165 400 Sysmiss 21363 1 1 2 3 4 5 6 7 8 9 10 11 15 18 20 23 25 30 33 35 47 60 70 80 100 120 129 140 Sysmiss 21363 1 690 3.873 13.948 21349 15 541898.38 2319.457 8976.003 21363 1 23345.055 10.834 328.327 21362 2 53996.132 20.836 531.886 21348 16 541898.38 2351.256 9003.527 21349 15 292728288515.978 83108500.988 2359166115.306 21363 1 541897967.152 107892.815 5899429.778 21362 2 2906761707.207 283093.859 21568231.505 21348 16 292728288515.978 83717745.699 2359570109.028 21363 1 1588984.81 377491.159 316479.653 21363 1 23345.055 902.622 2891.495 21363 1 61221.982 2164.36 6494.812 21363 1 1589885.588 380558.142 316802.806 21363 1 304996228699.443 8761805841.209 14635064682.183 21363 1 544991580.666 7905197.506 49528117.686 21363 1 2951467733.042 20865851.812 156204222.72 21363 1 304996228699.443 8803857669.536 14654768670.357 21325 39 8.316 100 26.664 16.225 6193 15171 45.519 100 84.644 19.368 9459 11905 26 100 79.048 19.736 21342 22 8.316 100 26.298 15.896 8824 1 55 27.365 17.797 8824 1 2 3 4 5 6 7 8 9 10 8824 11 421 133.298 82.168 8824 1 30 2.635 1.744 8824 1 901 11.113 53.861 8824 1 Forestland 2 Grassland 3 Cropland 4 Wetland 5 Settlement 8824 1 830 331.89 220.314 Results of Interview Results of Interview Results of Interview Results of Interview Results of Interview 8824 1 Complete 2 Refusal 3 Point Inaccessible 4 Operator Inaccessible 5 Non-Agricultural 8824 1 8824 1 2 8824 1 2 8824 1 2 3 4 5 6251 8824 1 2 39 8785 242234650 63665207.744 106235348.827 8824 1 2 3 8824 1 2 8824 923700 401.158 10656.467 8824 74131 297.682 3966.079 8824 150 0.526 4.249 8824 200 0.696 6.486 8824 74131 297.513 3965.974 8824 1 8824 1 2 3 8824 1 2 3 4 5 6 7 8 9 10 8628 196 1 31 14.48 9.842 8706 118 1 2 3 4 5 6 7 8 10 11 12 13 15 23 24 25 26 27 28 29 Sysmiss 8715 109 2 3 2015 2016 Sysmiss 7820 1004 1 31 13.507 8.469 8009 815 1 29 3.199 2.51 8023 801 2 3 4 12 17 28 2015 2016 Sysmiss 8452 372 1 2016 15.173 79.086 8692 132 1 2 3 4 5 6 7 8 9 12 13 14 15 16 30 Sysmiss 8763 61 1 3 4 8 13 14 16 2015 2016 Sysmiss 8513 311 1 2016 31.279 179.478 8701 123 1 2 3 4 5 6 10 11 12 13 14 15 16 18 19 20 Sysmiss 8770 54 4 10 12 15 18 19 20 2015 2016 Sysmiss 8824 Arusha Dar-es-salaam Dodoma Geita Iringa Kagera Kaskazini-Pemba Kaskazini-Unguja Kigoma Kilimanjaro Kusini Unguja (South-Central) Kusini-Pemba Lindi Manyara Mara Mbeya Mjini Magharibi (West) Morogoro Mtwara Mwanza Njombe Pwani Rukwa Ruvuma Shinyanga Simiyu Singida Tabora Tanga 8824 Cropland Forestland Grassland Settlement Wetland 8824 431.4 9489692.3 1136716.03 1357414.146 8824 1094 55368 27697.144 17706.091 any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) any(RESULTS_SECAQ9,1,5) (FILTER) 8824 Not Selected 1 Selected 8824 2 304 202.289 80.337 8803 21 0.347 37958769.2 248535.699 671734.4 Crop Crop Crop Crop Crop 8824 11 998 11 Maize 12 Paddy 13 Sorghum 14 Bulrush Millet 15 Finger Millet 16 Wheat 17 Barley 18 Black Pepper 19 Seawood 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 Pea 35 Chick peas 36 Bambara nuts 37 Field Peas 38 Malay Apple 39 Star Fruit 41 Sunflower 42 Sesame 43 Groundnut 44 Palm Oil 45 Coconut 46 Cashew nut 47 Soybeans 48 Castor Seed 50 Cotton 51 Tobacco 52 Pyrethrum 53 Sisal 54 Coffee 55 Tea 56 Cacao 57 Rubber 58 Wattle 59 Kapok 60 Sugarcane 61 Cardamom 62 Jute 63 Tamarind 64 Cinnamon 65 Nutmeg 66 Clove 67 Bread Fruit 68 Pomelo 69 Jackfruit 70 Passion Fruit 71 Banana 72 Avocado 73 Mango 74 Papaw 75 Pineapple 76 Orange 77 Grapefruit 78 Grapes 79 Mandarin 80 Guava 81 Plums (Matunda damu) 82 Apples 83 Pears 84 Peach (Mifyoks) 86 Cabbage 87 Tomatoes 88 Spinach 89 Carrot 90 Chilis 91 Amaranth 92 Pumpkins 93 Cucumbers 94 Eggplant 95 Watermelon 96 Cauliflower 97 Durian 98 Bilimbi 99 Rambutan 100 Okra 101 Fiwi 200 Custard Apple 201 God Fruit 202 Mitobo 203 Plum (Zambarau) 204 Peach (Pitches) 205 Pomegranate 210 Date 211 Tungamaa 212 Vanilla 300 Green Tomato 301 Monkeybread 302 Bamboo 303 Firewood/Fodder 304 Timber 305 Medicinal Plant 306 Fence Tree 851 Lime 852 Lemon 998 Other Planted Acres - Short Planted Acres - Short Planted Acres - Short Planted Acres - Short Planted Acres - Short 8824 74131 237.215 3888.29 Harvested Acres - Short Harvested Acres - Short Harvested Acres - Short Harvested Acres - Short Harvested Acres - Short 8824 74131 222.283 3874.343 Quantity Harvested (KG) - Short Quantity Harvested (KG) - Short Quantity Harvested (KG) - Short Quantity Harvested (KG) - Short Quantity Harvested (KG) - Short 8824 5200000 10236.477 145157.979 Quantity Sold (KG) - Short Quantity Sold (KG) - Short Quantity Sold (KG) - Short Quantity Sold (KG) - Short Quantity Sold (KG) - Short 8824 5200000 8607.158 138362.723 Value Sold (Tsh) - Short Value Sold (Tsh) - Short Value Sold (Tsh) - Short Value Sold (Tsh) - Short Value Sold (Tsh) - Short 8824 4412500000 14132437.645 226451589.388 Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary Indicator of each first matching case as Primary 8824 Duplicate Case 1 Primary Case 8824 1 402 105.596 105.616 8824 1 182 41.623 44.96 Exp Planted (ha) - Short Exp Planted (ha) - Short Exp Planted (ha) - Short Exp Planted (ha) - Short Exp Planted (ha) - Short 8803 21 106925.765 646.354 1603.533 Exp Harvested (ha) - Short Exp Harvested (ha) - Short Exp Harvested (ha) - Short Exp Harvested (ha) - Short Exp Harvested (ha) - Short 8806 18 66828.603 534.643 1221.889 Exp Quant Harvest (tonne) - Short Exp Quant Harvest (tonne) - Short Exp Quant Harvest (tonne) - Short Exp Quant Harvest (tonne) - Short Exp Quant Harvest (tonne) - Short 8806 18 843689.556 826.683 9508.478 Exp Quant Sold (tonne) - Short Exp Quant Sold (tonne) - Short Exp Quant Sold (tonne) - Short Exp Quant Sold (tonne) - Short Exp Quant Sold (tonne) - Short 8821 3 54747.888 224.733 1435.661 Exp Value Sold (Tsh) - Short Exp Value Sold (Tsh) - Short Exp Value Sold (Tsh) - Short Exp Value Sold (Tsh) - Short Exp Value Sold (Tsh) - Short 8821 3 74531472781.913 182695512.723 1444256094.684 8802 22 0.00502 126108.868 1075.078 2537.087 Average Price (Tsh/KG) - Short Average Price (Tsh/KG) - Short Average Price (Tsh/KG) - Short Average Price (Tsh/KG) - Short Average Price (Tsh/KG) - Short 3459 5365 88 16500 1165.01 2049.567 Yield (KG/ac) - Short Yield (KG/ac) - Short Yield (KG/ac) - Short Yield (KG/ac) - Short Yield (KG/ac) - Short 7771 1053 1 250000 797.382 3432.51 8073 751 100 14024.809 934.915 1307.546 8694 130 0.00494 49.421 1.768 2.426 8803 21 0.00536 11374740586.255 2790236.488 121829934.505 8806 18 4443405862.783 1636173.127 47824206.203 8806 18 708195275297.544 90697786.979 7556247407.511 8821 3 2978399783.382 2095988.685 51025151.841 8821 3 5.55494e+21 2.11065e+18 7.89907e+19 8802 22 2.52e-05 15798940994.363 7192692.045 174428988.65 8824 0.0732 424829.936 80402.393 115864.401 8824 382762.498 66871.37 95988.208 8824 1213475.641 94646.492 171341.642 8824 154135.538 17080.124 27397.646 8824 111508355133.259 11876519082.607 19867416236.015 8824 0.723 498485.932 118637.852 146937.395 8824 0.00536 11520785100.213 175186168.434 766906863.573 8824 4512312430.061 126730888.962 371569529.022 8824 716044872706.672 10402710817.556 82919796895.677 8824 3193471750.523 119918579.773 438001987.621 8824 5.55846e+21 1.06143e+20 5.66327e+20 8824 0.133 19348994539.74 706301688.111 2108266890.449 8824 4.704 100 24.492 21.746 8752 72 5.649 100 25.667 22.118 8752 72 7.576 100 32.622 22.805 8498 326 14.145 100 45.524 23.15 8498 326 16.845 100 47.864 21.917 8824 6.229 100 26.477 21.634 8498 326 0.42 2.048 1.099 0.242 8752 72 0.512 5.027 1.46 0.623