Vulnerable Groups Impact Evaluation Household Survey 2008, (TASAF II), Round 1
Tanzania, 2008
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Reference ID
TZA_2008_TASAF-II_v01_M_v01_A_PUF
Producer(s)
Sarah Baird, Craig McIntosh, Berk Ozler
Collection(s)
Metadata
Created on
May 03, 2012
Last modified
Sep 26, 2013
Page views
86505
Downloads
23413
- Data files
- ClusterMaster_public
- HHAsset_public
- HHChild_public
- HHConsDataCatA_public
- HHConsDataCatB_public
- HHConsDataCatCDE_public
- HHCredit_public
- HHData_public
- HHEnterprise_public
- HHLivestock_public
- HHMember_public
- HHMemberConsumption_public
- HHOtherDescription_public
- HHPrivTransfers_public
- HHSampleRecord_public
- HHShock_public
- HHTimeStampData_public
- HHTransGroup_public
- Interviewer_public
- Kitongoji_public
- LHHAsset_public
- LHHDisMember_public
- LHHGroupMembership_public
- LHHNumMatch_public
- LHHOtherDescription_public
- LHHRecord_public
- LHHSampleRecord_public
- sampling_weights
- VillagePerson_public
- VillageProjectGroup_public
What is the tribe of the HH head ? (L3Q5)
Data file: LHHRecord_public
Overview
Valid:
35870
Invalid:
25741
Type:
Discrete
Decimal:
0
Start:
61
End:
63
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Alagwa | 1 |
0%
|
| 2 | Akiek | 0 |
0%
|
| 3 | Arusha | 19 |
0.1%
|
| 4 | Assa | 1 |
0%
|
| 5 | Barabaig | 1 |
0%
|
| 6 | Bembe | 2 |
0%
|
| 7 | Bena | 67 |
0.2%
|
| 8 | Bende | 3 |
0%
|
| 9 | Bondei | 26 |
0.1%
|
| 10 | Bungu | 55 |
0.2%
|
| 11 | Burunge | 3 |
0%
|
| 12 | Chagga | 7123 |
19.9%
|
| 13 | Datoga | 10 |
0%
|
| 14 | Dhaiso | 0 |
0%
|
| 15 | Digo | 12 |
0%
|
| 16 | Doe | 1 |
0%
|
| 17 | Fipa | 47 |
0.1%
|
| 18 | Gogo | 34 |
0.1%
|
| 19 | Gorowa | 0 |
0%
|
| 20 | Gweno | 12 |
0%
|
| 21 | Ha | 135 |
0.4%
|
| 22 | Hadzabe | 0 |
0%
|
| 23 | Hangaza | 3 |
0%
|
| 24 | Haya | 62 |
0.2%
|
| 25 | Hehe | 72 |
0.2%
|
| 26 | Ikizu | 3 |
0%
|
| 27 | Ikoma | 1 |
0%
|
| 28 | Iraqw | 8 |
0%
|
| 29 | Isanzu | 0 |
0%
|
| 30 | Jiji | 0 |
0%
|
| 31 | Jita | 40 |
0.1%
|
| 32 | Kabwa | 9 |
0%
|
| 33 | Kaguru | 3 |
0%
|
| 34 | Kahe | 264 |
0.7%
|
| 35 | Kami | 0 |
0%
|
| 36 | Kara (Regi) | 5 |
0%
|
| 37 | Kerewe | 21 |
0.1%
|
| 38 | Kimbu | 24 |
0.1%
|
| 39 | Kinga | 3225 |
9%
|
| 40 | Kisankasa | 8 |
0%
|
| 41 | Kisi | 1 |
0%
|
| 42 | Konongo | 11 |
0%
|
| 43 | Kuria | 30 |
0.1%
|
| 44 | Kutu | 0 |
0%
|
| 45 | Kw'adza | 0 |
0%
|
| 46 | Kwavi | 1 |
0%
|
| 47 | Kwaya | 2 |
0%
|
| 48 | Kwere | 2 |
0%
|
| 49 | Kwifa | 1 |
0%
|
| 50 | Lambya | 0 |
0%
|
| 51 | Luguru | 9 |
0%
|
| 52 | Luo | 15 |
0%
|
| 53 | Maasai | 20 |
0.1%
|
| 54 | Machinga | 0 |
0%
|
| 55 | Magoma | 42 |
0.1%
|
| 56 | Makonde | 16 |
0%
|
| 57 | Makua | 7 |
0%
|
| 58 | Makwe | 0 |
0%
|
| 59 | Malila | 1 |
0%
|
| 60 | Mambwe | 1 |
0%
|
| 61 | Manda | 2 |
0%
|
| 62 | Matengo | 4 |
0%
|
| 63 | Matumbi | 1 |
0%
|
| 64 | Maviha | 0 |
0%
|
| 65 | Mbugwe | 16 |
0%
|
| 66 | Mbunga | 32 |
0.1%
|
| 67 | Mosiro | 0 |
0%
|
| 68 | Mpoto | 0 |
0%
|
| 69 | Mwanga | 0 |
0%
|
| 70 | Mwera | 5 |
0%
|
| 71 | Ndali | 5 |
0%
|
| 72 | Ndamba | 1 |
0%
|
| 73 | Ndendeule | 0 |
0%
|
| 74 | Ndengereko | 1 |
0%
|
| 75 | Ndonde | 1 |
0%
|
| 76 | Ngasa | 0 |
0%
|
| 77 | Ngindo | 2 |
0%
|
| 78 | Ngoni | 45 |
0.1%
|
| 79 | Ngulu | 2 |
0%
|
| 80 | Ngurimi | 1 |
0%
|
| 81 | Ngwele | 2 |
0%
|
| 82 | Nilamba | 9 |
0%
|
| 83 | Nindi | 0 |
0%
|
| 84 | Nyakyusa | 60 |
0.2%
|
| 85 | Nyambo | 3 |
0%
|
| 86 | Nyamwanga | 5 |
0%
|
| 87 | Nyamwezi | 4449 |
12.4%
|
| 88 | Nyanyembe | 15 |
0%
|
| 89 | Nyaturu | 102 |
0.3%
|
| 90 | Nyiha | 4 |
0%
|
| 91 | Nyiramba | 163 |
0.5%
|
| 92 | Pangwa | 9 |
0%
|
| 93 | Pare | 739 |
2.1%
|
| 94 | Pimbwe | 2 |
0%
|
| 95 | Pogolo | 6 |
0%
|
| 96 | Rangi | 28 |
0.1%
|
| 97 | Rufiji | 0 |
0%
|
| 98 | Rungi | 0 |
0%
|
| 99 | Rungu | 1 |
0%
|
| 100 | Rungwa | 0 |
0%
|
| 101 | Rwa | 0 |
0%
|
| 102 | Safwa | 25 |
0.1%
|
| 103 | Sagara | 2 |
0%
|
| 104 | Sandawe | 0 |
0%
|
| 105 | Sangu | 4 |
0%
|
| 106 | Segeju | 6 |
0%
|
| 107 | Shambaa | 5876 |
16.4%
|
| 108 | Shubi | 3 |
0%
|
| 109 | Sizaki | 0 |
0%
|
| 110 | Suba | 3 |
0%
|
| 111 | Sukuma | 10409 |
29%
|
| 112 | Sumbwa | 156 |
0.4%
|
| 113 | Swahili | 5 |
0%
|
| 114 | Temi | 0 |
0%
|
| 115 | Tongwe | 9 |
0%
|
| 116 | Tumbuka | 0 |
0%
|
| 117 | Vidunda | 0 |
0%
|
| 118 | Vinza | 1 |
0%
|
| 119 | Wanda | 1 |
0%
|
| 120 | Wanji | 1340 |
3.7%
|
| 121 | Ware | 5 |
0%
|
| 122 | Yao | 5 |
0%
|
| 123 | Zanaki | 10 |
0%
|
| 124 | Zaramo | 35 |
0.1%
|
| 125 | Zigula | 192 |
0.5%
|
| 126 | Zinza | 15 |
0%
|
| 127 | Zyoba | 0 |
0%
|
| 128 | Mangati | 3 |
0%
|
| 129 | Iraqw | 3 |
0%
|
| 130 | Wafyomi | 1 |
0%
|
| 131 | Manyema | 16 |
0%
|
| 132 | Mbugu | 233 |
0.6%
|
| 888 | DK | 4 |
0%
|
| 998 | Foreign national | 200 |
0.6%
|
| 999 | Other (specify) | 134 |
0.4%
|
| Sysmiss | 25741 |
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.