National Panel Survey 2010-2011
Tanzania, 2010 - 2011
Get MicrodataCreated on
May 19, 2014
Last modified
Mar 29, 2019
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- Data files
- AG_SEC01
- AG_FILTERS
- AG_NETWORK
- AG_SEC2A
- AG_SEC2B
- AG_SEC3A
- AG_SEC3B
- AG_SEC4A
- AG_SEC4B
- AG_SEC5A
- AG_SEC5B
- AG_SEC6A
- AG_SEC6B
- AG_SEC7A
- AG_SEC7B
- AG_SEC8A
- AG_SEC8B
- AG_SEC8C
- AG_SEC09
- AG_SEC10A
- AG_SEC10B
- AG_SEC10C
- AG_SEC11
- AG_SEC12A
- AG_SEC12B
- Plot.Geovariables_Y2
- COMSEC_CA
- COMSEC_CB
- COMSEC_CD
- COMSEC_CE
- COMSEC_CF
- COMSEC_CG
- COMSEC_CH
- COMSEC_CI
- COMSEC_CJ
- TZY2.EA.Offsets
- FS_B1
- FS_C1
- FS_D1
- FS_D2
- FS_D3
- FS_E1
- FS_E2
- FS_E3
- FS_F
- FS_FILTERS
- FS_G
- FS_H1
- FS_H2
- FS_H3
- FS_I
- FS_J1
- FS_J2
- FS_J3
- FS_K1
- FS_K2
- FS_K3
- FS_L
- FS_M
- FS_N1
- FS_N2
- HH_SEC_A
- HH_SEC_B
- HH_SEC_C
- HH_SEC_D
- HH_SEC_E1
- HH_SEC_E2
- HH_SEC_F
- HH_SEC_FILTERS
- HH_SEC_G
- HH_SEC_H1
- HH_SEC_H2
- HH_SEC_H3
- HH_SEC_I1
- HH_SEC_I2
- HH_SEC_J1
- HH_SEC_J2
- HH_SEC_K1
- HH_SEC_K2
- HH_SEC_K3
- HH_SEC_L
- HH_SEC_M
- HH_SEC_N
- HH_SEC_O1
- HH_SEC_O2
- HH_SEC_P
- HH_SEC_Q
- HH_SEC_R
- HH_SEC_S
- HH_SEC_U
- HH_SEC_V2
- TZY1.HH.Consumption
- TZY2.HH.Consumption
- HH.Geovariables_Y2
- comsec_cc
Crop Code (zaocode)
Data file: AG_SEC4B
Overview
Valid:
1791
Invalid:
4951
Type:
Discrete
Decimal:
0
Start:
20
End:
22
Width:
3
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 11 | Maize |
| 12 | Paddy |
| 13 | Sorghum |
| 14 | Bulrush Millet |
| 15 | Finger Millet |
| 16 | Wheat |
| 17 | Barley |
| 18 | Pilipili manga |
| 19 | Seaweed |
| 21 | Cassava |
| 22 | Sweet potatoes |
| 23 | Irish potatoes |
| 24 | Yams |
| 25 | Cocyams |
| 26 | Onions |
| 27 | Ginger |
| 31 | Beans |
| 32 | Cowpeas |
| 33 | Green gram |
| 34 | Pigeon pea |
| 35 | Chickpeas |
| 36 | Bambara nuts |
| 37 | Field peas |
| 38 | Matofaa |
| 39 | Embe ng'on'go (Sakua) |
| 41 | Sunflower |
| 42 | Sesame |
| 43 | Groundnut |
| 44 | Palm oil |
| 45 | Coconut |
| 46 | Cashew nut |
| 47 | Soyabeans |
| 48 | Caster seed |
| 50 | Cotton |
| 51 | Tobacco |
| 52 | Pyrethrum |
| 53 | Sisal |
| 54 | Coffee |
| 55 | Tea |
| 56 | Cocoa |
| 57 | Rubber |
| 58 | Wattle |
| 59 | Kapok |
| 60 | Sugar cane |
| 61 | Cardammon |
| 62 | Jute |
| 63 | Ukwaju |
| 64 | Mdalasini |
| 65 | Kungumanga |
| 66 | Mkarafuu |
| 68 | Mbalungi |
| 69 | Fenesi |
| 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 |
| 82 | Apples |
| 83 | Pears |
| 84 | Peaches |
| 85 | Mndimu/ Mlimau |
| 86 | Cabbage |
| 87 | Tomatoes |
| 88 | Spinach |
| 89 | Carrot |
| 90 | Chilies |
| 91 | Amaranth |
| 92 | Pumpkin |
| 93 | Cucumber |
| 94 | Eggplant |
| 95 | Watermelon |
| 96 | Cauliflower |
| 97 | Durian |
| 98 | Bilimbi |
| 99 | Rambutan |
| 100 | Okra |
| 101 | Fiwi |
| 851 | Lime |
| 852 | Lemons |
| 998 | Other |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.