Measuring Living Standards within Cities, Dar es Salaam 2014-2015
Tanzania, 2014 - 2015
Get MicrodataCreated on
Mar 29, 2019
Last modified
Mar 29, 2019
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19330
tribe (s1_hhmtrb)
Data file: s1_hhroster_share
Overview
Valid:
3384
Invalid:
4759
Type:
Discrete
Decimal:
0
Start:
20
End:
22
Width:
3
Range:
-
Format:
Questions and instructions
Literal question
What is the tribe of %rostertitle%?
Categories
| Value | Category |
|---|---|
| -99 | dk |
| -96 | other |
| 1 | akiek |
| 2 | alagwa |
| 3 | arusha |
| 4 | assa |
| 5 | barabaig |
| 6 | bembe |
| 7 | bena |
| 8 | bende |
| 9 | bondei |
| 10 | bungu |
| 11 | burunge |
| 12 | chagga |
| 13 | datoga |
| 14 | dhaiso |
| 15 | digo |
| 16 | doe |
| 17 | fipa |
| 18 | gogo |
| 19 | gorowa |
| 20 | gweno |
| 21 | ha |
| 22 | hadzabe |
| 23 | hangaza |
| 24 | haya |
| 25 | hehe |
| 26 | ikizu |
| 27 | ikoma |
| 28 | iraqw |
| 29 | isanzu |
| 30 | jiji |
| 31 | jita |
| 32 | kabwa |
| 33 | kaguru |
| 34 | kahe |
| 35 | kami |
| 36 | kara |
| 37 | kerewe |
| 38 | kimbu |
| 39 | kinga |
| 40 | kisankasa |
| 41 | kisi |
| 42 | konongo |
| 43 | kuria |
| 44 | kutu |
| 45 | kwadza |
| 46 | kwavi |
| 47 | kwaya |
| 48 | kwere |
| 49 | kwifa |
| 50 | lambya |
| 51 | luguru |
| 52 | luo |
| 53 | maasai |
| 54 | machinga |
| 55 | magoma |
| 56 | makonde |
| 57 | makua |
| 58 | makwe |
| 59 | malila |
| 60 | mambwe |
| 61 | manda |
| 62 | mangati |
| 63 | manyema |
| 64 | matengo |
| 65 | matumbi |
| 66 | maviha |
| 67 | mbugu |
| 68 | mbugwe |
| 69 | mbunga |
| 70 | meru |
| 71 | mosiro |
| 72 | mpoto |
| 73 | mwanga |
| 74 | mwera |
| 75 | ndali |
| 76 | ndamba |
| 77 | ndendeule |
| 78 | ndengereko |
| 79 | ndonde |
| 80 | ngasa |
| 81 | ngindo |
| 82 | ngoni |
| 83 | ngulu |
| 84 | ngurimi |
| 85 | ngwele |
| 86 | nilamba |
| 87 | nindi |
| 88 | nyakyusa |
| 89 | nyambo |
| 90 | nyamwanga |
| 91 | nyamwezi |
| 92 | nyanyembe |
| 93 | nyaturu |
| 94 | nyiha |
| 95 | nyiramba |
| 96 | pangwa |
| 97 | pare |
| 98 | pimbwe |
| 99 | pogolo |
| 100 | rangi |
| 101 | rufiji |
| 102 | rungi |
| 103 | rungu |
| 104 | rungwa |
| 105 | rwa |
| 106 | safwa |
| 107 | sagara |
| 108 | sandawe |
| 109 | sangu |
| 110 | segeju |
| 111 | shambaa |
| 112 | shubi |
| 113 | sizaki |
| 114 | suba |
| 115 | sukuma |
| 116 | sumbwa |
| 117 | swahili |
| 118 | temi |
| 119 | tongwe |
| 120 | tumbuka |
| 121 | vidunda |
| 122 | vinza |
| 123 | wafyomi |
| 124 | wanda |
| 125 | wanji |
| 126 | ware |
| 127 | yao |
| 128 | zanaki |
| 129 | zaramo |
| 130 | zigula |
| 131 | zinza |
| 132 | zyoba |
| 133 | mhindi |
| 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.