National Panel Survey 2008-2009, Wave 1
Tanzania, 2008 - 2009
Get Microdata
Reference ID
TZA_2008_NPS-R1_v03_M
Producer(s)
National Bureau of Statistics
Collection(s)
Metadata
Created on
Mar 23, 2011
Last modified
Apr 14, 2020
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- 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
- TZY1.HH.Consumption
ITEMID (itemid)
Data file: SECTCJ_S
Overview
Valid:
19159
Invalid:
0
Minimum:
101
Maximum:
1208
Type:
Discrete
Decimal:
0
Start:
29
End:
32
Width:
4
Range:
101 - 1208
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | ‘Rice paddy’ | 391 |
2%
|
| 102 | ‘Rice husked’ | 391 |
2%
|
| 103 | ‘Maize green, cob’ | 391 |
2%
|
| 104 | ‘Maize grain’ | 391 |
2%
|
| 105 | ‘Maize flour’ | 391 |
2%
|
| 106 | ‘Millet grain’ | 391 |
2%
|
| 107 | ‘Sorghum grain’ | 391 |
2%
|
| 108 | ‘Millet flour' | 391 |
2%
|
| 109 | ‘Sorghum flour’ | 391 |
2%
|
| 110 | ‘Bread’ | 391 |
2%
|
| 111 | ‘Buns’ | 391 |
2%
|
| 201 | ‘Casava fresh’ | 391 |
2%
|
| 202 | ‘Casava dry’ | 391 |
2%
|
| 203 | ‘Casava flour’ | 391 |
2%
|
| 204 | ‘Sweet potatoes’ | 391 |
2%
|
| 205 | ‘Cocoyams’ | 391 |
2%
|
| 206 | ‘Yams’ | 391 |
2%
|
| 207 | ‘Irish potatoes’ | 391 |
2%
|
| 208 | ‘Cooking bananas’ | 391 |
2%
|
| 301 | ‘Sugar’ | 391 |
2%
|
| 401 | ‘Beans’ | 391 |
2%
|
| 402 | ‘Peas’ | 391 |
2%
|
| 501 | ‘Groundnuts’ | 391 |
2%
|
| 502 | ‘Coconuts’ | 391 |
2%
|
| 601 | ‘Carrot’ | 391 |
2%
|
| 602 | ‘Onions’ | 391 |
2%
|
| 603 | ‘Tomatoes’ | 391 |
2%
|
| 604 | ‘Spinach’ | 391 |
2%
|
| 605 | ‘Cabbage’ | 391 |
2%
|
| 701 | ‘Ripe bananas’ | 391 |
2%
|
| 702 | ‘Citrus fruits’ | 391 |
2%
|
| 703 | ‘Papaya’ | 391 |
2%
|
| 704 | ‘Mangoes’ | 391 |
2%
|
| 801 | ‘Goat meat’ | 391 |
2%
|
| 802 | ‘Beef’ | 391 |
2%
|
| 804 | ‘Chicken live’ | 391 |
2%
|
| 807 | ‘Eggs’ | 391 |
2%
|
| 808 | ‘Fresh fish’ | 391 |
2%
|
| 809 | ‘Dagaa small fish’ | 391 |
2%
|
| 901 | ‘Fresh milk’ | 391 |
2%
|
| 903 | ‘Canned milk or powder’ | 391 |
2%
|
| 999 | ‘Firewood’ | 391 |
2%
|
| 1001 | ‘Cooking oil’ | 391 |
2%
|
| 1003 | ‘Salt’ | 391 |
2%
|
| 1101 | ‘Tea dry’ | 391 |
2%
|
| 1107 | ‘Local brews’ | 391 |
2%
|
| 1201 | ‘Kerosene’ | 391 |
2%
|
| 1207 | ‘Charcoal’ | 391 |
2%
|
| 1208 | ‘Maize grinding costs’ | 391 |
2%
|
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.