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, Zanzibar
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