National Panel Survey 2010-2011, Wave 2
Tanzania, 2010 - 2011
Get Microdata
Reference ID
TZA_2010_NPS-R2_v03_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Oct 10, 2012
Last modified
Mar 13, 2019
Page views
265246
Downloads
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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_SEC4A
Overview
Valid:
6001
Invalid:
2205
Type:
Discrete
Decimal:
0
Start:
20
End:
22
Width:
3
Range:
11 - 998
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 11 | Maize | 2368 |
39.5%
|
| 12 | Paddy | 659 |
11%
|
| 13 | Sorghum | 314 |
5.2%
|
| 14 | Bulrush Millet | 60 |
1%
|
| 15 | Finger Millet | 35 |
0.6%
|
| 16 | Wheat | 21 |
0.3%
|
| 17 | Barley | 0 |
0%
|
| 18 | Pilipili manga | 0 |
0%
|
| 19 | Seaweed | 1 |
0%
|
| 21 | Cassava | 75 |
1.2%
|
| 22 | Sweet potatoes | 223 |
3.7%
|
| 23 | Irish potatoes | 68 |
1.1%
|
| 24 | Yams | 33 |
0.5%
|
| 25 | Cocyams | 91 |
1.5%
|
| 26 | Onions | 12 |
0.2%
|
| 27 | Ginger | 0 |
0%
|
| 31 | Beans | 654 |
10.9%
|
| 32 | Cowpeas | 177 |
2.9%
|
| 33 | Green gram | 51 |
0.8%
|
| 34 | Pigeon pea | 170 |
2.8%
|
| 35 | Chickpeas | 14 |
0.2%
|
| 36 | Bambara nuts | 54 |
0.9%
|
| 37 | Field peas | 4 |
0.1%
|
| 38 | Matofaa | 0 |
0%
|
| 39 | Embe ng'on'go (Sakua) | 0 |
0%
|
| 41 | Sunflower | 147 |
2.4%
|
| 42 | Sesame | 91 |
1.5%
|
| 43 | Groundnut | 319 |
5.3%
|
| 44 | Palm oil | 0 |
0%
|
| 45 | Coconut | 2 |
0%
|
| 46 | Cashew nut | 0 |
0%
|
| 47 | Soyabeans | 6 |
0.1%
|
| 48 | Caster seed | 0 |
0%
|
| 50 | Cotton | 76 |
1.3%
|
| 51 | Tobacco | 39 |
0.6%
|
| 52 | Pyrethrum | 10 |
0.2%
|
| 53 | Sisal | 0 |
0%
|
| 54 | Coffee | 2 |
0%
|
| 55 | Tea | 0 |
0%
|
| 56 | Cocoa | 1 |
0%
|
| 57 | Rubber | 0 |
0%
|
| 58 | Wattle | 0 |
0%
|
| 59 | Kapok | 0 |
0%
|
| 60 | Sugar cane | 0 |
0%
|
| 61 | Cardammon | 0 |
0%
|
| 62 | Jute | 0 |
0%
|
| 63 | Ukwaju | 0 |
0%
|
| 64 | Mdalasini | 0 |
0%
|
| 65 | Kungumanga | 0 |
0%
|
| 66 | Mkarafuu | 0 |
0%
|
| 68 | Mbalungi | 0 |
0%
|
| 69 | Fenesi | 0 |
0%
|
| 70 | Passion Fruit | 2 |
0%
|
| 71 | Banana | 5 |
0.1%
|
| 72 | Avocado | 0 |
0%
|
| 73 | Mango | 0 |
0%
|
| 74 | Papaw | 0 |
0%
|
| 75 | Pineapple | 2 |
0%
|
| 76 | Orange | 0 |
0%
|
| 77 | Grapefruit | 0 |
0%
|
| 78 | Grapes | 0 |
0%
|
| 79 | Mandarin | 0 |
0%
|
| 80 | Guava | 0 |
0%
|
| 81 | Plums | 2 |
0%
|
| 82 | Apples | 0 |
0%
|
| 83 | Pears | 0 |
0%
|
| 84 | Peaches | 0 |
0%
|
| 85 | Mndimu/ Mlimau | 0 |
0%
|
| 86 | Cabbage | 9 |
0.1%
|
| 87 | Tomatoes | 45 |
0.7%
|
| 88 | Spinach | 1 |
0%
|
| 89 | Carrot | 3 |
0%
|
| 90 | Chilies | 7 |
0.1%
|
| 91 | Amaranth | 20 |
0.3%
|
| 92 | Pumpkin | 46 |
0.8%
|
| 93 | Cucumber | 2 |
0%
|
| 94 | Eggplant | 1 |
0%
|
| 95 | Watermelon | 4 |
0.1%
|
| 96 | Cauliflower | 1 |
0%
|
| 97 | Durian | 0 |
0%
|
| 98 | Bilimbi | 3 |
0%
|
| 99 | Rambutan | 0 |
0%
|
| 100 | Okra | 15 |
0.2%
|
| 101 | Fiwi | 22 |
0.4%
|
| 102 | 1 |
0%
|
|
| 851 | Lime | 0 |
0%
|
| 852 | Lemons | 0 |
0%
|
| 998 | Other | 33 |
0.5%
|
| Sysmiss | 2205 |
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.