Mainland Trunk Roads 2009
Tanzania, 2009
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Reference ID
TZA_2009_MCC-MTR_v01_M
Producer(s)
Economic Development Initiatives
Collection(s)
Metadata
Created on
Jun 08, 2015
Last modified
Jun 08, 2015
Page views
37569
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What are the three most common tribes in this district? FIRST (V2AQ6a)
Data file: CP_PublicUse
Overview
Valid:
200
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
66
End:
68
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Alagwa | 0 |
0%
|
| 2 | Akiek | 0 |
0%
|
| 3 | Arusha | 0 |
0%
|
| 4 | Assa | 0 |
0%
|
| 5 | Barabaig | 0 |
0%
|
| 6 | Bembe | 0 |
0%
|
| 7 | Bena | 1 |
0.5%
|
| 8 | Bende | 0 |
0%
|
| 9 | Bondei | 0 |
0%
|
| 10 | Bungu | 0 |
0%
|
| 11 | Burunge | 0 |
0%
|
| 12 | Chagga | 0 |
0%
|
| 13 | Datoga | 0 |
0%
|
| 14 | Dhaiso | 0 |
0%
|
| 15 | Digo | 25 |
12.5%
|
| 16 | Doe | 0 |
0%
|
| 17 | Fipa | 40 |
20%
|
| 18 | Gogo | 0 |
0%
|
| 19 | Gorowa | 0 |
0%
|
| 20 | Gweno | 0 |
0%
|
| 21 | Ha | 0 |
0%
|
| 22 | Hadzabe | 0 |
0%
|
| 23 | Hangaza | 0 |
0%
|
| 24 | Haya | 0 |
0%
|
| 25 | Hehe | 0 |
0%
|
| 26 | Ikizu | 0 |
0%
|
| 27 | Ikoma | 0 |
0%
|
| 28 | Iraqw | 0 |
0%
|
| 29 | Isanzu | 0 |
0%
|
| 30 | Jiji | 0 |
0%
|
| 31 | Jita | 0 |
0%
|
| 32 | Kabwa | 0 |
0%
|
| 33 | Kaguru | 0 |
0%
|
| 34 | Kahe | 0 |
0%
|
| 35 | Kami | 0 |
0%
|
| 36 | Kara (Regi) | 0 |
0%
|
| 37 | Kerewe | 0 |
0%
|
| 38 | Kimbu | 0 |
0%
|
| 39 | Kinga | 0 |
0%
|
| 40 | Kisankasa | 0 |
0%
|
| 41 | Kisi | 0 |
0%
|
| 42 | Konongo | 0 |
0%
|
| 43 | Kuria | 0 |
0%
|
| 44 | Kutu | 0 |
0%
|
| 45 | Kw'adza | 0 |
0%
|
| 46 | Kwavi | 0 |
0%
|
| 47 | Kwaya | 0 |
0%
|
| 48 | Kwere | 0 |
0%
|
| 49 | Kwifa | 0 |
0%
|
| 50 | Lambya | 0 |
0%
|
| 51 | Luguru | 0 |
0%
|
| 52 | Luo | 0 |
0%
|
| 53 | Maasai | 0 |
0%
|
| 54 | Machinga | 0 |
0%
|
| 55 | Magoma | 0 |
0%
|
| 56 | Makonde | 0 |
0%
|
| 57 | Makua | 0 |
0%
|
| 58 | Makwe | 0 |
0%
|
| 59 | Malila | 0 |
0%
|
| 60 | Mambwe | 3 |
1.5%
|
| 61 | Manda | 0 |
0%
|
| 62 | Matengo | 11 |
5.5%
|
| 63 | Matumbi | 0 |
0%
|
| 64 | Maviha | 0 |
0%
|
| 65 | Mbugwe | 0 |
0%
|
| 66 | Mbunga | 0 |
0%
|
| 67 | Mosiro | 0 |
0%
|
| 68 | Mpoto | 0 |
0%
|
| 69 | Mwanga | 0 |
0%
|
| 70 | Mwera | 0 |
0%
|
| 71 | Ndali | 5 |
2.5%
|
| 72 | Ndamba | 0 |
0%
|
| 73 | Ndendeule | 15 |
7.5%
|
| 74 | Ndengereko | 0 |
0%
|
| 75 | Ndonde | 0 |
0%
|
| 76 | Ngasa | 0 |
0%
|
| 77 | Ngindo | 0 |
0%
|
| 78 | Ngoni | 29 |
14.5%
|
| 79 | Ngulu | 0 |
0%
|
| 80 | Ngurimi | 0 |
0%
|
| 81 | Ngwele | 0 |
0%
|
| 82 | Nilamba | 0 |
0%
|
| 83 | Nindi | 0 |
0%
|
| 84 | Nyakyusa | 1 |
0.5%
|
| 85 | Nyambo | 0 |
0%
|
| 86 | Nyamwanga | 21 |
10.5%
|
| 87 | Nyamwezi | 0 |
0%
|
| 88 | Nyanyembe | 0 |
0%
|
| 89 | Nyaturu | 0 |
0%
|
| 90 | Nyiha | 14 |
7%
|
| 91 | Nyiramba | 0 |
0%
|
| 92 | Pangwa | 0 |
0%
|
| 93 | Pare | 1 |
0.5%
|
| 94 | Pimbwe | 0 |
0%
|
| 95 | Pogolo | 0 |
0%
|
| 96 | Rangi | 0 |
0%
|
| 97 | Rufiji | 0 |
0%
|
| 98 | Rungi | 0 |
0%
|
| 99 | Rungu | 0 |
0%
|
| 100 | Rungwa | 0 |
0%
|
| 101 | Rwa | 0 |
0%
|
| 102 | Safwa | 0 |
0%
|
| 103 | Sagara | 0 |
0%
|
| 104 | Sandawe | 0 |
0%
|
| 105 | Sangu | 0 |
0%
|
| 106 | Segeju | 3 |
1.5%
|
| 107 | Shambaa | 13 |
6.5%
|
| 108 | Shubi | 0 |
0%
|
| 109 | Sizaki | 0 |
0%
|
| 110 | Suba | 0 |
0%
|
| 111 | Sukuma | 0 |
0%
|
| 112 | Sumbwa | 0 |
0%
|
| 113 | Swahili | 0 |
0%
|
| 114 | Temi | 0 |
0%
|
| 115 | Tongwe | 0 |
0%
|
| 116 | Tumbuka | 0 |
0%
|
| 117 | Vidunda | 0 |
0%
|
| 118 | Vinza | 0 |
0%
|
| 119 | Wanda | 0 |
0%
|
| 120 | Wanji | 0 |
0%
|
| 121 | Ware | 0 |
0%
|
| 122 | Yao | 9 |
4.5%
|
| 123 | Zanaki | 0 |
0%
|
| 124 | Zaramo | 0 |
0%
|
| 125 | Zigula | 0 |
0%
|
| 126 | Zinza | 0 |
0%
|
| 127 | Zyoba | 0 |
0%
|
| 128 | Mangati | 0 |
0%
|
| 129 | Wafyomi | 0 |
0%
|
| 130 | Manyema | 0 |
0%
|
| 132 | Mbugu | 0 |
0%
|
| 777 | None | 0 |
0%
|
| 888 | DK (comment) | 0 |
0%
|
| 998 | Foreign national | 0 |
0%
|
| 999 | Other (specify) | 9 |
4.5%
|
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.