Survey of Household Welfare and Labour 2007-2008
Tanzania, 2007 - 2008
Get Microdata
Reference ID
TZA_2007_SHWALITA_v01_M
Producer(s)
World Bank
Metadata
Created on
Nov 19, 2019
Last modified
Nov 19, 2019
Page views
94073
Downloads
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- Data files
- cmty
- cmtygroups
- cmtyprices
- cmtyrain
- diaryhh
- diaryhh_day
- diaryhh_fgt
- diaryhh_wk
- diaryp
- diaryp_day
- diaryp_wk
- hh_assets
- hh_cons1
- hh_cons2
- hh_cons3
- hh_cons4
- hh_cons5
- hh_frqnonfood
- hh_guests
- hh_info
- hh_land
- hh_lbr1
- hh_lbr2
- hh_lbr3
- hh_lbr4
- hh_nonfood
- hh_roster
- pricecover
- pricefood
- pricenonfd
- sec56b
- stocks
Tribe or religion id# (grpid)
Data file: cmtygroups
Overview
Valid:
2230
Invalid:
0
Minimum:
7
Maximum:
1008
Type:
Discrete
Decimal:
0
Start:
14
End:
17
Width:
4
Range:
1 - 1008
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | WAALAGWA | 0 |
0%
|
| 2 | WAAKIEK | 0 |
0%
|
| 3 | WAARUSHA | 0 |
0%
|
| 4 | ASSA | 0 |
0%
|
| 5 | WABARABAIG | 0 |
0%
|
| 6 | WABEMBE | 0 |
0%
|
| 7 | WABENA | 1 |
0%
|
| 8 | WABENDE | 0 |
0%
|
| 9 | WABONDEI | 2 |
0.1%
|
| 10 | WABUNGU | 0 |
0%
|
| 11 | WABURUNGE | 0 |
0%
|
| 12 | WACHAGGA | 38 |
1.7%
|
| 13 | WADATONGA | 0 |
0%
|
| 14 | WADHAISO | 0 |
0%
|
| 15 | WADIGO | 2 |
0.1%
|
| 16 | WADOE | 0 |
0%
|
| 17 | WAFIPA | 5 |
0.2%
|
| 18 | WAGOGO | 35 |
1.6%
|
| 19 | WAGOROWA | 0 |
0%
|
| 20 | WAGWENO | 0 |
0%
|
| 21 | WAHA | 44 |
2%
|
| 22 | WAHADZABE | 0 |
0%
|
| 23 | WAHANGAZA | 22 |
1%
|
| 24 | WAHAYA | 74 |
3.3%
|
| 25 | WAHEHE | 24 |
1.1%
|
| 26 | WAIKIZU | 0 |
0%
|
| 27 | WAIKOMAx | 0 |
0%
|
| 28 | WAIRAQW | 0 |
0%
|
| 29 | WAISANZU | 0 |
0%
|
| 30 | WAJIJI | 0 |
0%
|
| 31 | WAJITA | 7 |
0.3%
|
| 32 | WAKABWA | 0 |
0%
|
| 33 | WAKAGURU | 4 |
0.2%
|
| 34 | WAKAHE | 0 |
0%
|
| 35 | WAKAMI | 0 |
0%
|
| 36 | WAKARA | 0 |
0%
|
| 37 | WAKEREWE | 7 |
0.3%
|
| 38 | WAKIMBU | 0 |
0%
|
| 39 | WAKINGA | 0 |
0%
|
| 40 | WAKISANKASA | 0 |
0%
|
| 41 | WAKISI | 0 |
0%
|
| 42 | WAKONONGO | 0 |
0%
|
| 43 | WAKURYA | 25 |
1.1%
|
| 44 | WAKUTU | 0 |
0%
|
| 45 | WAKWADZA | 0 |
0%
|
| 46 | WAKWAVI | 0 |
0%
|
| 47 | WAKWAYA | 0 |
0%
|
| 48 | WAKWERE | 2 |
0.1%
|
| 49 | WAKWIFA | 0 |
0%
|
| 50 | WALAMBYA | 0 |
0%
|
| 51 | WALUGURU | 10 |
0.4%
|
| 52 | WAJALUO | 5 |
0.2%
|
| 53 | WAMASAI | 3 |
0.1%
|
| 54 | WAMACHINGA | 0 |
0%
|
| 55 | WAGOMA | 0 |
0%
|
| 56 | WAMAKONDE | 43 |
1.9%
|
| 57 | WAMAKUA | 5 |
0.2%
|
| 58 | WAMAKWE | 0 |
0%
|
| 59 | WAMALILA | 0 |
0%
|
| 60 | WAMAMBWE | 0 |
0%
|
| 61 | WAMANDA | 0 |
0%
|
| 62 | WAMATENGO | 0 |
0%
|
| 63 | WAMATUMBI | 25 |
1.1%
|
| 64 | WAMAWIHA | 0 |
0%
|
| 65 | WAMBUGWE | 0 |
0%
|
| 66 | WAMBUNGA | 0 |
0%
|
| 67 | WAMOSIRO | 0 |
0%
|
| 68 | WAMPOTO | 0 |
0%
|
| 69 | WAMWANGA | 0 |
0%
|
| 70 | WAMWERA | 11 |
0.5%
|
| 71 | WANDALI | 0 |
0%
|
| 72 | WANDAMBA | 0 |
0%
|
| 73 | WANDENDEULE | 0 |
0%
|
| 74 | WANDENGEREKO | 44 |
2%
|
| 75 | WANDONDE | 0 |
0%
|
| 76 | WANGASA | 0 |
0%
|
| 77 | WANGINDO | 26 |
1.2%
|
| 78 | WANGONI | 21 |
0.9%
|
| 79 | WANGULU | 2 |
0.1%
|
| 80 | WANGURIMI | 0 |
0%
|
| 81 | WANGWELE | 0 |
0%
|
| 82 | WANILAMBA | 0 |
0%
|
| 83 | WANINDI | 0 |
0%
|
| 84 | WANYAKYUSA | 22 |
1%
|
| 85 | WANYAMBO | 29 |
1.3%
|
| 86 | WANYAMWANGA | 0 |
0%
|
| 87 | WANYAMWEZI | 35 |
1.6%
|
| 88 | WANYANYEMBE | 0 |
0%
|
| 89 | WANYATURU | 11 |
0.5%
|
| 90 | WANYIHA | 0 |
0%
|
| 91 | WANYIRAMBA | 19 |
0.9%
|
| 92 | WAPANGWA | 0 |
0%
|
| 93 | WAPARE | 10 |
0.4%
|
| 94 | WAPIMBWE | 0 |
0%
|
| 95 | WAPOGOLO | 13 |
0.6%
|
| 96 | WARANGI | 20 |
0.9%
|
| 97 | WARUFIJI | 0 |
0%
|
| 98 | WARUNGI | 0 |
0%
|
| 99 | WAMERU | 1 |
0%
|
| 100 | WARUNGWA | 0 |
0%
|
| 101 | WARWA | 0 |
0%
|
| 102 | WASAFWA | 0 |
0%
|
| 103 | WASAGARA | 0 |
0%
|
| 104 | WASANDAWE | 5 |
0.2%
|
| 105 | WASANGU | 0 |
0%
|
| 106 | WASEGEJU | 0 |
0%
|
| 107 | WASHAMBAA | 18 |
0.8%
|
| 108 | WASHUBI | 2 |
0.1%
|
| 109 | WASIZAKI | 0 |
0%
|
| 110 | WASUBI | 10 |
0.4%
|
| 111 | WASUKUMA | 75 |
3.4%
|
| 112 | WASUMBWA | 23 |
1%
|
| 113 | WASWAHILI | 0 |
0%
|
| 114 | WATEMI | 0 |
0%
|
| 115 | WATONGWE | 0 |
0%
|
| 116 | WATUMBUKA | 0 |
0%
|
| 117 | WAVIDUNDA | 0 |
0%
|
| 118 | WAVINZA | 0 |
0%
|
| 119 | WAWANDA | 0 |
0%
|
| 120 | WAWANJI | 0 |
0%
|
| 121 | WAWARE | 0 |
0%
|
| 122 | WAYAO | 3 |
0.1%
|
| 123 | WAZANAKI | 1 |
0%
|
| 124 | WAZARAMO | 25 |
1.1%
|
| 125 | WAZIGUA | 11 |
0.5%
|
| 126 | WAZINZA | 6 |
0.3%
|
| 127 | WAZYOBA | 0 |
0%
|
| 128 | DK | 0 |
0%
|
| 150 | WASHASHI | 2 |
0.1%
|
| 151 | WALONGO | 1 |
0%
|
| 152 | WANYASA | 0 |
0%
|
| 153 | WATUSI | 2 |
0.1%
|
| 154 | WANYARWANDA | 19 |
0.9%
|
| 155 | WARUNDI | 13 |
0.6%
|
| 156 | WAGANDA | 6 |
0.3%
|
| 157 | WANYANKOLE | 6 |
0.3%
|
| 158 | WAKONGO | 1 |
0%
|
| 159 | WAMBULU | 2 |
0.1%
|
| 160 | WAMANG'ATI | 2 |
0.1%
|
| 161 | WANYAGATWA | 1 |
0%
|
| 162 | WAPEMBA | 3 |
0.1%
|
| 163 | WASHIRAZI | 1 |
0%
|
| 164 | WANYANJA | 0 |
0%
|
| 165 | WAMAKONDE CHALE | 1 |
0%
|
| 1001 | MOSLEM | 168 |
7.5%
|
| 1002 | CATHOLIC | 168 |
7.5%
|
| 1003 | LUTHERAN | 168 |
7.5%
|
| 1004 | SDA | 168 |
7.5%
|
| 1005 | BAPTIST | 168 |
7.5%
|
| 1006 | OTHER PROTESTANT | 168 |
7.5%
|
| 1007 | TRADITIONAL RELIGION | 168 |
7.5%
|
| 1008 | OTHER (SPECIFY) | 168 |
7.5%
|
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.