TZA_2014-2015_AASS_v01_EN_M_v01_A_OCS DDI_TZA_2014-2015_AASS_v01_EN_M_v01_A_OCS_FAO Office of Chief Statistician National Bureau of Statistics Nesstar Publisher TZA_2014-2015_AASS_v01_EN_M_v01_A_OCS_v01 Annual Agricultural Sample Survey 2014-2015 AASS 2014-2015 TZA_2014-2015_AASS_v01_EN_M_v01_A_OCS National Bureau of Statistics Office of the Chief Government Statistician 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 Ministry of Agriculture, Food Security and Cooperatives Ministry of Livestock and Fisheries Development Nesstar Publisher Government of Tanzania United States Agency for International Development United States Department of Agriculture Director General Agriculture Statistics 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 survey data due to the different methodologies applied. The survey collected detailed information on area and production for major crops, potentially livestock and fish farming. 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 United Republic of Tanzania National Coverage Agricultural holdings Farm operators. Sample survey data [ssd] 2014/15 Agricultural year. The point sampling frame method was used to select a statistically sound sample of farm operators; as against the household-based sampling methods previously used. A total of 21,210 sample points were selected, while a total of 15,281 points were completed. 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 paper [f2f] 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 information. Response rate was 72%. The data user shall acknowledge that any available intellectual property right, including copyright and the data of Employment and Earnings Survey 2014 version 1.0 are owned by National Bureau of Statistics, Tanzania The data user shall acknowledge that any available intellectual property right, including copyright and the data of Employment and Earnings Survey 2014 version 1.0 are owned by National Bureau of Statistics, Tanzania. Cattle.NSDstat 21364 54 Nesstar 200801 Goat.NSDstat 11625 54 Nesstar 200801 LongCrop.NSDstat 12514 89 Nesstar 200801 OtherLivestock.NSDstat 32850 36 Nesstar 200801 Pig.NSDstat 1075 36 Nesstar 200801 Sheep.NSDstat 5310 48 Nesstar 200801 ShortCrop.NSDstat 8824 89 Nesstar 200801 21364 0 1 55 20.559 15.06 21364 0 1 4130 2 4865 3 3563 4 3696 5 1862 6 1323 7 1589 8 70 9 161 10 105 21364 0 11 401 122.518 77.869 21364 0 1 49 2.86 2.256 21364 0 1 602 8.04 39.553 21364 0 1 Forestland 2618 2 Grassland 7749 3 Cropland 10024 4 Wetland 735 5 Settlement 238 21364 0 1 819 381.546 219.273 Results of Interview 21364 0 1 Complete 21364 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 21364 0 1 21364 Head of Cattle 21364 0 0 1445 27.11 69.318 21364 0 Arusha 693 Dar-es-salaam 308 Dodoma 903 Geita 1246 Iringa 252 Kagera 196 Kaskazini-Pemba 966 Kaskazini-Unguja 518 Katavi 112 Kigoma 280 Kilimanjaro 1190 Kusini Unguja (South-Central) 371 Kusini-Pemba 840 Lindi 28 Manyara 980 Mara 959 Mbeya 693 Mjini Magharibi (West) 301 Morogoro 252 Mtwara 189 Mwanza 1974 Njombe 119 Pwani 70 Rukwa 630 Ruvuma 147 Shinyanga 2198 Simiyu 2555 Singida 833 Tabora 819 Tanga 742 21364 0 Cropland 10024 Forestland 2618 Grassland 7749 Settlement 238 Wetland 735 21364 0 431.4 9489692.3 1550013.384 1683281.025 21364 0 1005 55368 20940.524 14993.864 any(RESULTS_SECAQ9,1,5) (FILTER) 21364 0 0 Not Selected 0 1 Selected 21364 21364 0 3 304 221.875 72.05 21322 42 13.825 20080806.4 250281.965 544405.606 Exp Head of Cattle 21322 42 0 1323135.21 16478.862 48566.941 21322 42 0.0856 66055.284 1029.804 2003.305 21364 0 1 160 74.795 47.49 21364 0 20350.292 5458769.472 2663914.659 1676776.8 21364 0 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 0 15258127.679 1803849699106.84 275465578137.192 324357536453.307 21364 0 527659.97 4386260196.849 433774015.086 460451394.632 21364 0 11.659 85.211 19.506 9.785 21364 0 7.498 81.548 14.025 10.27 21363 1 1 Oxen 3052 2 Bulls 3052 3 Cows 3052 4 Steers 3052 5 Heifers 3052 6 Male Calves 3052 7 Female Calves 3051 Sysmiss 1 21363 0 Castrated Bulls(Oxen 3052 Cows 3052 Female Calves 3051 Heifers 3052 Male Calves 3052 Steers 3052 Uncastrated Bulls 3052 21363 1 0 690 3.477 11.506 21363 1 0 21179 1 47 2 22 3 10 4 8 5 14 6 8 7 1 8 1 9 3 10 2 11 5 12 1 14 6 15 1 18 1 19 4 20 2 22 2 26 1 27 4 29 5 37 4 40 5 45 1 51 4 71 5 86 1 90 5 150 1 165 5 400 5 Sysmiss 1 21363 1 0 21007 1 159 2 54 3 36 4 14 5 7 6 5 7 3 8 7 9 1 10 1 11 2 15 1 18 5 20 7 23 2 25 35 30 1 33 3 35 1 47 3 60 1 70 1 80 1 100 1 120 1 129 3 140 1 Sysmiss 1 21363 1 0 690 3.873 13.948 21349 15 0 541898.38 2319.457 8976.003 21363 1 0 23345.055 10.834 328.327 21362 2 0 53996.132 20.836 531.886 21348 16 0 541898.38 2351.256 9003.527 21349 15 0 292728288515.978 83108500.988 2359166115.306 21363 1 0 541897967.152 107892.815 5899429.778 21362 2 0 2906761707.207 283093.859 21568231.505 21348 16 0 292728288515.978 83717745.699 2359570109.028 21363 1 0 1588984.81 377491.159 316479.653 21363 1 0 23345.055 902.622 2891.495 21363 1 0 61221.982 2164.36 6494.812 21363 1 0 1589885.588 380558.142 316802.806 21363 1 0 304996228699.443 8761805841.209 14635064682.183 21363 1 0 544991580.666 7905197.506 49528117.686 21363 1 0 2951467733.042 20865851.812 156204222.72 21363 1 0 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 11625 0 1 55 17.643 12.594 11625 0 1 2135 2 2315 3 2010 4 1970 5 1350 6 750 7 930 8 55 9 55 10 55 11625 0 11 401 123.742 77.811 11625 0 1 33 2.978 2.537 11625 0 1 606 10.199 53.157 11625 0 1 Forestland 1245 2 Grassland 4315 3 Cropland 5605 4 Wetland 370 5 Settlement 90 11625 0 1 816 390.611 217.097 Results of Interview 11625 0 1 Complete 11625 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 11625 0 1 11625 Head of Goats 11625 0 1 651 19.766 34.798 11625 0 Arusha 400 Dar-es-salaam 210 Dodoma 620 Geita 815 Iringa 100 Kagera 310 Kaskazini-Pemba 165 Kaskazini-Unguja 180 Katavi 100 Kigoma 160 Kilimanjaro 645 Kusini Unguja (South-Central) 205 Kusini-Pemba 200 Lindi 95 Manyara 420 Mara 525 Mbeya 225 Mjini Magharibi (West) 120 Morogoro 160 Mtwara 340 Mwanza 1010 Njombe 50 Pwani 45 Rukwa 265 Ruvuma 160 Shinyanga 1215 Simiyu 1435 Singida 470 Tabora 435 Tanga 545 11625 0 Cropland 5605 Forestland 1245 Grassland 4315 Settlement 90 Wetland 370 11625 0 431.4 9489692.3 1672109.655 1718017.627 11625 0 1005 55368 18033.622 12556.449 any(RESULTS_SECAQ9,1,5) (FILTER) 11625 0 0 Not Selected 0 1 Selected 11625 11625 0 2 304 229.393 69.925 11610 15 13.825 20080806.4 265156.232 600836.902 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 0 1 135 56.957 38.507 11625 0 11.062 3741488.145 686260.594 572313.82 11625 0 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 0 11716587.599 5415875756792.46 269494916407.885 974144051079.356 11625 0 162387.311 4397895472.058 413506595.209 545705238.453 11625 0 15.996 143899.398 552.834 4523.386 11625 0 14.329 112695.32 490.016 3459.968 11625 0 1 Billy Goat 2325 2 Castrated Goat 2325 3 Female Goat 2325 4 Male Kid 2325 5 Female Kid 2325 11625 0 Billy Goat 2325 Castrated Goat 2325 Male Kid 2325 She Goat 2325 She Kid 2325 11625 0 0 200 3.83 8.78 11625 0 0 11531 1 20 2 20 3 9 4 3 5 4 6 6 7 3 8 1 9 2 13 2 14 5 20 1 29 5 30 1 33 5 35 2 40 1 53 1 70 1 84 1 267 1 11625 0 0 11553 1 22 2 25 3 7 4 6 5 4 6 5 9 2 10 1 11625 0 0 354 3.953 9.713 11614 11 0 1383544.105 3023.099 16280.321 11625 0 0 66055.284 26.856 1081.26 11625 0 0 22579.099 8.243 239.373 11614 11 0 1383544.105 3058.232 16400.553 11614 11 0 1902770596717.99 270611253.357 17758466934.996 11625 0 0 4353700350.853 1169705.666 69951173.755 11625 0 0 508370662.649 57295.999 4727786.968 11614 11 0 1902770596717.99 274721123.116 17761506997.975 11625 0 0 2668278.217 339947.808 358642.435 11625 0 0 66055.284 1165.926 5221.1 11625 0 0 22579.099 538.186 2086.982 11625 0 0 2681393.295 341651.919 359703.979 11625 0 0 2046644780151.05 22063757626.811 169557817031.514 11625 0 0 4363300572.133 26694942.403 312863849.615 11625 0 0 509815718.54 1836923.774 20930458.954 11625 0 0 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 12514 0 1 55 20.247 17.441 12514 0 1 2809 2 2956 3 1784 4 1662 5 1023 6 1233 7 823 8 91 9 85 10 48 12514 0 11 421 121.09 79.568 12514 0 1 49 2.879 2.492 12514 0 1 801 15.295 69.046 12514 0 1 Forestland 1598 2 Grassland 4361 3 Cropland 5742 4 Wetland 507 5 Settlement 306 12514 0 1 825 385.833 221.663 Results of Interview 12514 0 1 Complete 12514 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 12514 0 1 4621 2 7893 12514 0 1 12514 12514 0 1 12134 2 380 12514 0 1 10854 2 1105 3 15 4 119 5 421 7681 0 12514 0 1 10396 2 2118 20 12494 0 242234650 84782127.7 118540065.64 12514 0 1 4860 2 87 3 7567 12514 0 1 2526 2 9988 12514 0 0 923700 170.25 8500.229 12514 0 0 28023 92.698 1027.452 12514 0 0 304 0.803 7.347 12514 0 0 2000 1.266 36.361 12514 0 0 28023 92.235 1024.498 12514 0 1 12514 12514 0 1 10800 2 1680 3 34 12514 0 1 4171 2 4011 3 2515 4 1083 5 427 6 166 7 83 8 31 9 19 10 8 12283 231 1 31 13.927 9.856 12344 170 1 5 2 4672 3 7553 4 37 5 3 6 2 7 6 8 10 10 3 11 7 12 1 13 6 23 6 24 10 25 7 26 6 27 5 28 3 29 2 Sysmiss 170 12361 153 2 40 3 17 4 4 23 2 25 3 27 2 2015 28 2016 12261 2106 4 Sysmiss 153 11483 1031 1 31 13.389 8.767 11636 878 1 30 3.024 1.82 11666 848 2 48 3 105 8 7 12 1 17 7 22 4 23 2 27 2 28 5 2015 2 2016 11483 Sysmiss 848 12175 339 1 2016 20.179 96.386 12340 174 1 19 2 49 3 3836 4 8255 5 31 6 7 7 4 8 20 9 16 10 5 11 3 12 4 13 2 14 32 15 7 16 26 30 14 31 10 Sysmiss 174 12418 96 1 1 3 27 4 177 8 5 12 2 13 6 14 18 16 18 31 2 2015 4 2016 12158 Sysmiss 96 12283 231 1 2016 23.204 143.183 12415 99 1 9 2 19 3 102 4 12075 5 6 6 9 7 3 8 7 9 9 10 16 11 6 12 15 13 7 14 19 15 12 16 16 18 18 19 38 20 29 Sysmiss 99 12478 36 4 195 6 4 8 7 10 5 15 10 18 1 19 18 20 18 2015 11 2016 12209 Sysmiss 36 12514 0 Arusha 239 Dar-es-salaam 109 Dodoma 645 Geita 336 Iringa 171 Kagera 152 Kaskazini-Pemba 616 Kaskazini-Unguja 445 Katavi 202 Kigoma 205 Kilimanjaro 621 Kusini Unguja (South-Central) 392 Kusini-Pemba 700 Lindi 337 Manyara 520 Mara 289 Mbeya 425 Mjini Magharibi (West) 276 Morogoro 216 Mtwara 1282 Mwanza 232 Njombe 112 Pwani 151 Rukwa 279 Ruvuma 411 Shinyanga 1248 Simiyu 487 Singida 472 Tabora 320 Tanga 624 12514 0 Cropland 5742 Forestland 1598 Grassland 4361 Settlement 306 Wetland 507 12514 0 431.4 9489692.3 1504282.762 1876568.219 12514 0 1005 55368 20632.437 17355.085 any(RESULTS_SECAQ9,1,5) (FILTER) 12514 0 0 Not Selected 0 1 Selected 12514 12514 0 2 304 208.619 77.735 12506 8 0.93 32299699.2 299454.53 736570.57 Crop 12514 0 11 998 11 Maize 3288 12 Paddy 1192 13 Sorghum 440 14 Bulrush Millet 88 15 Finger Millet 78 16 Wheat 32 17 Barley 21 18 Black Pepper 2 19 Seawood 0 21 Cassava 1021 22 Sweet Potatoes 397 23 Irish Potatoes 33 24 Yams 39 25 Cocoyams 21 26 Onions 15 27 Ginger 2 31 Beans 792 32 Cowpeas 139 33 Green gram 262 34 Pigeon Pea 368 35 Chick peas 67 36 Bambara nuts 114 37 Field Peas 14 38 Malay Apple 5 39 Star Fruit 10 41 Sunflower 504 42 Sesame 343 43 Groundnut 588 44 Palm Oil 3 45 Coconut 228 46 Cashew nut 341 47 Soybeans 7 48 Castor Seed 1 50 Cotton 397 51 Tobacco 40 52 Pyrethrum 3 53 Sisal 50 54 Coffee 98 55 Tea 6 56 Cacao 9 57 Rubber 0 58 Wattle 0 59 Kapok 0 60 Sugarcane 59 61 Cardamom 3 62 Jute 0 63 Tamarind 2 64 Cinnamon 5 65 Nutmeg 1 66 Clove 83 67 Bread Fruit 9 68 Pomelo 5 69 Jackfruit 27 70 Passion Fruit 1 71 Banana 561 72 Avocado 6 73 Mango 111 74 Papaw 10 75 Pineapple 23 76 Orange 81 77 Grapefruit 0 78 Grapes 0 79 Mandarin 14 80 Guava 2 81 Plums (Matunda damu) 0 82 Apples 0 83 Pears 0 84 Peach (Mifyoks) 0 86 Cabbage 5 87 Tomatoes 121 88 Spinach 4 89 Carrot 2 90 Chilis 10 91 Amaranth 20 92 Pumpkins 34 93 Cucumbers 14 94 Eggplant 18 95 Watermelon 25 96 Cauliflower 2 97 Durian 4 98 Bilimbi 0 99 Rambutan 15 100 Okra 29 101 Fiwi 4 200 Custard Apple 1 201 God Fruit 1 202 Mitobo 0 203 Plum (Zambarau) 1 204 Peach (Pitches) 0 205 Pomegranate 0 210 Date 0 211 Tungamaa 0 212 Vanilla 2 300 Green Tomato 0 301 Monkeybread 1 302 Bamboo 3 303 Firewood/Fodder 0 304 Timber 19 305 Medicinal Plant 1 306 Fence Tree 0 851 Lime 32 852 Lemon 8 998 Other 77 Planted Acres - Long 12514 0 0.01 13510 35.327 481.085 Harvested Acres - Long 12514 0 0 10694.5 22.403 330.248 Quantity Harvested (KG) - Long 12514 0 0 24820700 8468.866 260636.791 Quantity Sold (KG) - Long 12514 0 0 24820700 6288.36 251379.961 Value Sold (Tsh) - Long 12514 0 0 26061735000 7749153.312 268604302.576 Indicator of each first matching case as Primary 12514 0 0 Duplicate Case 0 1 Primary Case 12514 12514 0 1 376 100.275 91.734 12514 0 1 160 43.876 43.644 Exp Planted (ha) - Long 12506 8 0.0146 106925.765 925.877 1912.3 Exp Harvested (ha) - Long 12506 8 0 66828.603 803.251 1648.849 Exp Quant Harvest (tonne) - Long 12506 8 0 315591.741 922.672 4834.99 Exp Quant Sold (tonne) - Long 12513 1 0 315591.741 337.262 3234.617 Exp Value Sold (Tsh) - Long 12513 1 0 157795870686.65 279946586.117 2151250206.154 12506 8 0.0143 107665.664 1238.282 2724.558 Average Price (Tsh/KG) - Long 5757 6757 100 18000 1082.786 1392.485 Yield (KG/ac) - Long 11302 1212 0 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 0 4443540517.946 3137262.009 50253131.938 12506 8 0 99274170404.889 23911105.966 1150713182.086 12513 1 0 99274170404.889 10526983.157 890321245.582 12513 1 0 2.4833e+22 4.67829e+18 2.46808e+20 12506 8 0.000201 11536385161.014 8592866.296 132804529.19 12514 0 0.0732 438798.412 99324.543 123129.356 12514 0 0 360623.352 86033.493 104847.729 12514 0 0 536541.458 93520.115 127367.479 12514 0 0 390421.104 27723.841 44655.399 12514 0 0 204472892546.109 21272078297.374 32359924607.444 12514 0 0.723 481166.66 115129.901 119358.412 12514 0 0.00536 11543061701.99 344508228.237 860074992.871 12514 0 0 4546370980.331 260159126.686 505682228.811 12514 0 0 102244961041.014 1412379874.298 6863016823.477 12514 0 0 102244961041.014 239559999.991 2810786709.676 12514 0 0 2.49234e+22 1.42382e+20 8.3094e+20 12514 0 0.523 12102446167.053 667715674.061 1296688503.189 12514 0 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 0 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 32850 0 1 55 22.461 16.419 32850 0 1 7230 2 7450 3 5230 4 5750 5 3130 6 2130 7 1830 8 40 9 50 10 10 32850 0 11 391 128.834 79.507 32850 0 1 24 2.843 2.029 32850 0 1 801 10.753 52.168 32850 0 1 Forestland 4250 2 Grassland 12560 3 Cropland 14040 4 Wetland 1310 5 Settlement 690 32850 0 1 825 369.956 220.873 Results of Interview 32850 0 1 Complete 32850 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 32850 0 1 32850 32850 0 Arusha 460 Dar-es-salaam 550 Dodoma 1750 Geita 1800 Iringa 560 Kagera 460 Kaskazini-Pemba 1460 Kaskazini-Unguja 1610 Katavi 50 Kigoma 40 Kilimanjaro 1130 Kusini Unguja (South-Central) 810 Kusini-Pemba 1690 Lindi 440 Manyara 940 Mara 1590 Mbeya 600 Mjini Magharibi (West) 730 Morogoro 740 Mtwara 1720 Mwanza 3000 Njombe 120 Pwani 240 Rukwa 180 Ruvuma 360 Shinyanga 3430 Simiyu 3960 Singida 1300 Tabora 840 Tanga 290 32850 0 Cropland 14040 Forestland 4250 Grassland 12560 Settlement 690 Wetland 1310 32850 0 431.4 9489692.3 1416653.432 1630077.069 32850 0 1005 55368 22830.838 16338.965 ANY(Row,1,2,4) (FILTER) 32841 9 0 Not Selected 22988 1 Selected 9853 Sysmiss 9 32850 0 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 0 1 178 80.263 53.34 32850 0 6190.664 419314.129 193838.305 129046.196 32800 50 1.444 1499958525.748 4731668.302 39201565.739 32850 0 3452652.684 2985871071.852 810738550.904 893471104.592 32850 0 6.732 63.815 15.072 9.216 32841 9 1 Indigenous Chickens 3285 2 Layers 3284 3 Broilers 3284 4 Ducks 3284 5 Guinea Pigs 3284 6 Turkeys 3284 7 Rabbits 3284 8 Donkeys 3284 9 Horses 3284 10 Dogs 3284 Sysmiss 9 32841 0 Broiler 3284 Dogs 3284 Donkeys 3284 Ducks 3284 Guinea pigs 3284 Horses 3284 Indigenous Chicken 3285 Layer 3284 Rabbits 3284 Turkeys 3284 Head of Animal 32841 9 0 20000 22.091 626.72 13691 19159 0 5124000 12539.248 251452.116 Exp Head of Animal 32836 14 0 3243961.897 2102.832 27419.75 Exp Eggs 13686 19164 0 278963094.611 112237.632 3149719.356 32836 14 0 10444308075088 745766434.485 62207089948.562 13686 19164 0 7.73942e+16 9921848960241.56 713966260797525 32841 9 0 5230464.053 319696.284 977499.785 19695 13155 0 278963094.611 11381557.746 36591393.905 32841 9 0 10563343244021.1 101853662824.911 807125340560.113 19695 13155 0 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 1075 0 1 25 10.237 6.205 1075 0 1 105 2 200 3 285 4 220 5 85 6 100 7 55 8 15 9 10 1075 0 11 372 118.712 75.744 1075 0 1 27 3.102 2.52 1075 0 1 610 15.921 65.017 1075 0 1 Forestland 85 2 Grassland 250 3 Cropland 660 4 Wetland 40 5 Settlement 40 1075 0 1 819 476.693 214.879 Results of Interview 1075 0 1 Complete 1075 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 1075 0 1 1075 Head of Pigs 1075 0 1 400 9.4 30.18 1075 0 Dodoma 165 Geita 10 Iringa 105 Kagera 65 Katavi 5 Kigoma 5 Kilimanjaro 100 Lindi 5 Manyara 10 Mara 10 Mbeya 150 Morogoro 45 Mtwara 80 Mwanza 20 Njombe 30 Pwani 5 Rukwa 60 Ruvuma 90 Shinyanga 45 Simiyu 5 Singida 40 Tabora 20 Tanga 5 1075 0 Cropland 660 Forestland 85 Grassland 250 Settlement 40 Wetland 40 1075 0 7276.5 9489692.3 1813297.196 2053312.823 1075 0 1037 25604 10713.902 6227.328 any(RESULTS_SECAQ9,1,5) (FILTER) 1075 0 0 Not Selected 0 1 Selected 1075 1075 0 12 304 214.856 71.856 1075 0 277.7 3629138.85 343292.596 474619.537 Exp Head of Pigs 1075 0 40.838 132570.629 8121.269 17104.522 1075 0 2.548 12302.166 1526.567 1872.079 1075 0 1 22 9.419 6.525 1075 0 129.851 621144.768 164690.263 191384.806 1075 0 64.926 75213.675 32183.672 25444.599 1075 0 1667.761 17201651503.492 354697930.206 1925632277.648 1075 0 16.678 148996225.92 5718152.527 16254157.19 1075 0 16861.35 42774402124.038 7602247255.241 14395022520.043 1075 0 4215.337 308536240.286 134394285.165 125063921.341 1075 0 32.637 100 42.191 15.648 1075 0 23.354 100 38.36 15.464 1075 0 1 Boars 215 2 Castrated Males 215 3 Sow/Gilt 215 4 Male Piglet 215 5 Female Piglet 215 1075 0 Boar 215 Castrated male 215 Male piglet 215 She piglet 215 Sow/Gilt 215 1075 0 0 640 1 184 2 75 3 48 4 32 5 20 6 17 7 7 8 8 9 6 10 9 11 2 12 4 13 2 14 1 15 3 16 2 17 1 18 1 20 2 26 1 30 3 33 1 40 1 45 1 60 1 100 2 200 1 1075 0 0 69167.285 1624.254 5379.354 1075 0 0 4760240399.886 31389042.538 249760852.53 1075 0 0 242992.632 32938.053 47847.501 1075 0 0 6550620901.439 686404296 1459200402.817 995 80 31.879 100 62.388 19.939 5310 0 1 53 15.35 8.411 5310 0 1 735 2 990 3 1200 4 1100 5 470 6 310 7 465 8 10 10 30 5310 0 11 421 119.06 75.069 5310 0 1 24 3.015 2.374 5310 0 1 377 6.008 27.041 5310 0 1 Forestland 405 2 Grassland 2025 3 Cropland 2715 4 Wetland 150 5 Settlement 15 5310 0 1 801 405.277 213.298 Results of Interview 5310 0 1 Complete 5310 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 5310 0 1 5310 Head of Sheep 5310 0 1 2577 34.113 195.61 5310 0 Arusha 315 Dar-es-salaam 175 Dodoma 270 Geita 190 Iringa 30 Kagera 85 Kaskazini-Unguja 5 Katavi 20 Kigoma 35 Kilimanjaro 380 Lindi 5 Manyara 235 Mara 395 Mbeya 25 Mjini Magharibi (West) 10 Morogoro 60 Mtwara 20 Mwanza 455 Njombe 5 Pwani 5 Rukwa 50 Ruvuma 20 Shinyanga 580 Simiyu 1195 Singida 280 Tabora 240 Tanga 225 5310 0 Cropland 2715 Forestland 405 Grassland 2025 Settlement 15 Wetland 150 5310 0 2234.6 9489692.3 1827420.215 1742257.888 5310 0 1005 53136 15755.559 8423.432 any(RESULTS_SECAQ9,1,5) (FILTER) 5310 0 0 Not Selected 0 1 Selected 5310 5310 0 12 304 240.724 62.312 5305 5 13.825 4381223 213742.38 342266.052 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 0 1 116 45.094 34.056 5310 0 40.851 2900998.941 931930.905 631492.818 5310 0 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 0 1017.302 1386066923067.34 114628283532.068 320506166580.265 5310 0 113.034 618932894.943 175290345.901 126644895.558 5310 0 12.529 100 27.732 17.819 5310 0 10.344 100 22.357 14.77 5310 0 1 Rams 1062 2 Castrated Sheep 1062 3 Female Sheep 1062 4 Male Lamb 1062 5 Female Lamb 1062 5310 0 Castrated Sheep 1062 Male lamb 1062 Ram 1062 She Sheep 1062 She lamb 1062 5310 0 0 240 3.601 9.32 5310 0 0 5225 1 10 2 1 3 1 4 1 5 2 8 6 10 6 11 4 17 1 20 5 24 5 27 5 32 5 75 1 76 4 150 4 324 6 500 6 564 6 1181 6 5310 0 0 1181 6.823 49.221 5305 5 0 490005.204 2384.672 10668.571 5310 0 0 6484.94 7.473 152.837 5305 5 0 490005.204 2392.153 10669.667 5305 5 0 237931620760.507 117862627.356 3437936682.765 5310 0 0 41805875.068 23393.839 695529.465 5305 5 0 237931620760.507 117915802.477 3437934148.82 5310 0 0 1312978.568 185687.751 203233.027 5310 0 0 10878.384 698.43 1778.042 5310 0 0 1312978.568 186386.181 203798.83 5310 0 0 303659055510.382 7362667646.736 33524521291.157 5310 0 0 51904975.251 1950182.322 6985323.49 5310 0 0 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 8824 0 1 55 27.365 17.797 8824 0 1 2645 2 2162 3 914 4 1140 5 862 6 344 7 622 8 95 9 14 10 26 8824 0 11 421 133.298 82.168 8824 0 1 30 2.635 1.744 8824 0 1 901 11.113 53.861 8824 0 1 Forestland 1783 2 Grassland 3470 3 Cropland 2996 4 Wetland 391 5 Settlement 184 8824 0 1 830 331.89 220.314 Results of Interview 8824 0 1 Complete 8824 2 Refusal 0 3 Point Inaccessible 0 4 Operator Inaccessible 0 5 Non-Agricultural 0 8824 0 1 8824 8824 0 1 5310 2 3514 8824 0 1 8546 2 278 8824 0 1 7318 2 982 3 6 4 124 5 394 6251 0 8824 0 1 7478 2 1346 39 8785 0 242234650 63665207.744 106235348.827 8824 0 1 3486 2 34 3 5304 8824 0 1 1990 2 6834 8824 0 0 923700 401.158 10656.467 8824 0 0 74131 297.682 3966.079 8824 0 0 150 0.526 4.249 8824 0 0 200 0.696 6.486 8824 0 0 74131 297.513 3965.974 8824 0 1 8824 8824 0 1 7228 2 1540 3 56 8824 0 1 3379 2 2670 3 1530 4 700 5 322 6 109 7 70 8 14 9 29 10 1 8628 196 1 31 14.48 9.842 8706 118 1 20 2 3442 3 5130 4 24 5 2 6 12 7 9 8 3 10 7 11 9 12 7 13 5 15 5 23 1 24 5 25 8 26 5 27 2 28 5 29 5 Sysmiss 118 8715 109 2 36 3 42 2015 8 2016 8629 Sysmiss 109 7820 1004 1 31 13.507 8.469 8009 815 1 29 3.199 2.51 8023 801 2 63 3 123 4 3 12 2 17 9 28 2 2015 4 2016 7817 Sysmiss 801 8452 372 1 2016 15.173 79.086 8692 132 1 51 2 19 3 1324 4 7080 5 37 6 5 7 1 8 44 9 1 12 14 13 1 14 54 15 13 16 27 30 21 Sysmiss 132 8763 61 1 8 3 26 4 227 8 17 13 7 14 17 16 20 2015 9 2016 8432 Sysmiss 61 8513 311 1 2016 31.279 179.478 8701 123 1 3 2 8 3 12 4 8415 5 5 6 1 10 4 11 3 12 40 13 35 14 7 15 7 16 26 18 39 19 66 20 30 Sysmiss 123 8770 54 4 257 10 6 12 11 15 7 18 5 19 20 20 20 2015 8 2016 8436 Sysmiss 54 8824 0 Arusha 63 Dar-es-salaam 71 Dodoma 9 Geita 934 Iringa 64 Kagera 359 Kaskazini-Pemba 454 Kaskazini-Unguja 585 Kigoma 588 Kilimanjaro 492 Kusini Unguja (South-Central) 504 Kusini-Pemba 639 Lindi 17 Manyara 17 Mara 496 Mbeya 9 Mjini Magharibi (West) 420 Morogoro 55 Mtwara 37 Mwanza 966 Njombe 17 Pwani 157 Rukwa 1 Ruvuma 14 Shinyanga 117 Simiyu 941 Singida 4 Tabora 272 Tanga 522 8824 0 Cropland 2996 Forestland 1783 Grassland 3470 Settlement 184 Wetland 391 8824 0 431.4 9489692.3 1136716.03 1357414.146 8824 0 1094 55368 27697.144 17706.091 any(RESULTS_SECAQ9,1,5) (FILTER) 8824 0 0 Not Selected 0 1 Selected 8824 8824 0 2 304 202.289 80.337 8803 21 0.347 37958769.2 248535.699 671734.4 Crop 8824 0 11 998 11 Maize 2134 12 Paddy 498 13 Sorghum 307 14 Bulrush Millet 23 15 Finger Millet 34 16 Wheat 8 17 Barley 9 18 Black Pepper 3 19 Seawood 1 21 Cassava 1312 22 Sweet Potatoes 470 23 Irish Potatoes 24 24 Yams 79 25 Cocoyams 31 26 Onions 18 27 Ginger 5 31 Beans 522 32 Cowpeas 163 33 Green gram 192 34 Pigeon Pea 68 35 Chick peas 14 36 Bambara nuts 19 37 Field Peas 4 38 Malay Apple 6 39 Star Fruit 10 41 Sunflower 114 42 Sesame 37 43 Groundnut 344 44 Palm Oil 5 45 Coconut 262 46 Cashew nut 32 47 Soybeans 1 48 Castor Seed 0 50 Cotton 119 51 Tobacco 32 52 Pyrethrum 1 53 Sisal 48 54 Coffee 76 55 Tea 3 56 Cacao 2 57 Rubber 0 58 Wattle 0 59 Kapok 0 60 Sugarcane 79 61 Cardamom 6 62 Jute 0 63 Tamarind 2 64 Cinnamon 8 65 Nutmeg 2 66 Clove 114 67 Bread Fruit 13 68 Pomelo 4 69 Jackfruit 42 70 Passion Fruit 3 71 Banana 661 72 Avocado 13 73 Mango 157 74 Papaw 17 75 Pineapple 33 76 Orange 108 77 Grapefruit 0 78 Grapes 0 79 Mandarin 14 80 Guava 3 81 Plums (Matunda damu) 0 82 Apples 2 83 Pears 0 84 Peach (Mifyoks) 2 86 Cabbage 7 87 Tomatoes 108 88 Spinach 5 89 Carrot 2 90 Chilis 12 91 Amaranth 19 92 Pumpkins 36 93 Cucumbers 26 94 Eggplant 25 95 Watermelon 32 96 Cauliflower 1 97 Durian 6 98 Bilimbi 1 99 Rambutan 26 100 Okra 44 101 Fiwi 6 200 Custard Apple 1 201 God Fruit 0 202 Mitobo 0 203 Plum (Zambarau) 1 204 Peach (Pitches) 0 205 Pomegranate 1 210 Date 0 211 Tungamaa 0 212 Vanilla 0 300 Green Tomato 0 301 Monkeybread 0 302 Bamboo 1 303 Firewood/Fodder 0 304 Timber 35 305 Medicinal Plant 0 306 Fence Tree 0 851 Lime 38 852 Lemon 10 998 Other 68 Planted Acres - Short 8824 0 0 74131 237.215 3888.29 Harvested Acres - Short 8824 0 0 74131 222.283 3874.343 Quantity Harvested (KG) - Short 8824 0 0 5200000 10236.477 145157.979 Quantity Sold (KG) - Short 8824 0 0 5200000 8607.158 138362.723 Value Sold (Tsh) - Short 8824 0 0 4412500000 14132437.645 226451589.388 Indicator of each first matching case as Primary 8824 0 0 Duplicate Case 0 1 Primary Case 8824 8824 0 1 402 105.596 105.616 8824 0 1 182 41.623 44.96 Exp Planted (ha) - Short 8803 21 0 106925.765 646.354 1603.533 Exp Harvested (ha) - Short 8806 18 0 66828.603 534.643 1221.889 Exp Quant Harvest (tonne) - Short 8806 18 0 843689.556 826.683 9508.478 Exp Quant Sold (tonne) - Short 8821 3 0 54747.888 224.733 1435.661 Exp Value Sold (Tsh) - Short 8821 3 0 74531472781.913 182695512.723 1444256094.684 8802 22 0.00502 126108.868 1075.078 2537.087 Average Price (Tsh/KG) - Short 3459 5365 88 16500 1165.01 2049.567 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 0 4443405862.783 1636173.127 47824206.203 8806 18 0 708195275297.544 90697786.979 7556247407.511 8821 3 0 2978399783.382 2095988.685 51025151.841 8821 3 0 5.55494e+21 2.11065e+18 7.89907e+19 8802 22 2.52e-05 15798940994.363 7192692.045 174428988.65 8824 0 0.0732 424829.936 80402.393 115864.401 8824 0 0 382762.498 66871.37 95988.208 8824 0 0 1213475.641 94646.492 171341.642 8824 0 0 154135.538 17080.124 27397.646 8824 0 0 111508355133.259 11876519082.607 19867416236.015 8824 0 0.723 498485.932 118637.852 146937.395 8824 0 0.00536 11520785100.213 175186168.434 766906863.573 8824 0 0 4512312430.061 126730888.962 371569529.022 8824 0 0 716044872706.672 10402710817.556 82919796895.677 8824 0 0 3193471750.523 119918579.773 438001987.621 8824 0 0 5.55846e+21 1.06143e+20 5.66327e+20 8824 0 0.133 19348994539.74 706301688.111 2108266890.449 8824 0 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 0 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