National Panel Survey 2008-2009
Tanzania, 2008 - 2009
Get MicrodataCreated on
Dec 12, 2013
Last modified
Mar 29, 2019
Page views
152093
Downloads
5120
- Data files
- SEC_A_T_Swahili_Labels
- SEC_B_C_D_E1_F_G1_U_Swahili_Labels
- SEC_E2_Swahili_Labels
- SEC_G2_Swahili_Labels
- SEC_H1_J_K2_O2_P1_Q1_S1_Swahili_Labels
- SEC_H2_Swahili_Labels
- SEC_H3_Swahili_Labels
- SEC_I_Swahili_Labels
- SEC_K1_Swahili_Labels
- SEC_L_Swahili_Labels
- SEC_M_Swahili_Labels
- SEC_N_Swahili_Labels
- SEC_O1_Swahili_Labels
- SEC_O3_Swahili_Labels
- SEC_P2_Swahili_Labels
- SEC_Q2_Swahili_Labels
- SEC_Q3_Swahili_Labels
- SEC_R_Swahili_Labels
- SEC_S2_Swahili_Labels
-
Agriculture
SEC_1_ALL_Swahili_Labels - SEC_2A_Swahili_Labels
- SEC_2B_Swahili_Labels
- SEC_3A_Swahili_Labels
- SEC_3B_Swahili_Labels
- SEC_4A_Swahili_Labels
- nps_weights_oct2010
- HH.Geovariables_Y1
- SECTA1A2_Swahili_Labels
- SECTCB_Swahili_Labels
- SECTCEFG
- SECTCH
- SECTCI
- SECTCJ_S
- SEC_A_T_English_Labels
- SEC_B_C_D_E1_F_G1_U_English_Labels
- SEC_E2_English_Labels
- SEC_G2_English_Labels
- SEC_H1_J_K2_O2_P1_Q1_S1_English_Labels
- SEC_H2_English_Labels
- SEC_H3_English_Labels
- SEC_I_English_Labels
- SEC_L_English_Labels
- SEC_M_English_Labels
- SEC_N_English_Labels
- SEC_O1_English_Labels
- SEC_O3_English_Labels
- SEC_P2_English_Labels
- SEC_Q2_English_Labels
- SEC_Q3_English_Labels
- SEC_R_English_Labels
- SEC_S2_English_Labels
- SEC_2A_English_Labels
- SEC_2B_English_Labels
- SEC_3A_English_Labels
- SEC_3B_English_Labels
- SEC_4A_English_Labels
- SECTA1A2_English_Labels
- SECTCB
- SECTCC
- SECTCD
S3BQ5. Main crop cultivated on this plot in last ShortRainy?: CODE (s3bq5)
Data file: SEC_3B_English_Labels
Overview
Valid:
84
Invalid:
5098
Type:
Discrete
Decimal:
0
Start:
50
End:
52
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 | Black Pepper |
| 19 | Seaweed |
| 21 | Cassava |
| 22 | Sweet Potatos |
| 23 | Irish potatos |
| 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 | Simsim |
| 43 | Groundnut |
| 44 | Palm Oil |
| 45 | Coconut |
| 46 | Cashewnut |
| 47 | Soyabeans |
| 48 | Caster seed |
| 50 | Cotton |
| 51 | Tobacco |
| 53 | Sisal |
| 54 | Coffee |
| 55 | Tea |
| 56 | Cocoa |
| 57 | Rubber |
| 58 | Wattle |
| 59 | Kapok |
| 60 | Sugar Cane |
| 61 | Cardamom |
| 62 | Jute |
| 63 | Tamarin |
| 64 | Cinamon |
| 65 | Nutmeg |
| 66 | Clove |
| 67 | Bread fruit |
| 68 | Pomelo |
| 69 | Jack fruit |
| 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 | Lime/lemon |
| 86 | Cabbage |
| 87 | Tomatoes |
| 88 | Spinach |
| 89 | Carrot |
| 90 | Chillies |
| 91 | Amaranths |
| 92 | Pumpkins |
| 93 | Cucumber |
| 94 | Egg Plant |
| 95 | Water Mellon |
| 96 | Cauliflower |
| 97 | Durian |
| 98 | Bilimbi |
| 99 | Rambutan |
| 100 | Okra |
| 101 | Fiwi |
| 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.