Mainland Trunk Roads & Zanzibar Rural Roads Baseline Survey 2009
Tanzania, 2009
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Reference ID
TZA_2009_TRRRBS_v01_M
Producer(s)
Economic Development Initiatives (EDI) for the Millennium Challenge Corporation (MCC)
Collection(s)
Created on
Mar 28, 2011
Last modified
Apr 09, 2018
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- Data files
- Mainland_ClusterMaster
- Mainland_District
- Mainland_HHAsset
-
Mainland_HHData
- Public Use - Mainland_HHEconActivity
- Mainland_HHLivestock
-
Mainland_HHmember
- Public Use - Mainland_HHOtherDescription
-
Mainland_HHsamplerecord
- Public Use - Mainland_HHTransportMethod
-
Mainland_Kitongoji
- Public Use - Mainland_LoLScenario
- Mainland_CP_Agriculture
- Mainland_CP_CashCrop
-
Mainland_CP_CommunityData
- Public Use - Mainland_CP_Goods_Food
- Mainland_CP_Goods_NonFood
-
Mainland_CP_Health_Meds
- Public Use -
Mainland_CP_Health_Profs
- Public Use -
Mainland_CP_Health_Services
- Public Use -
Mainland_CP_Location
- Public Use - Mainland_CP_OtherDescription
-
Mainland_CP_Services
- Public Use - Mainland_CP_Traffic
-
Mainland_CP_Transport
- Public Use -
Mainland_Kitongoji
- Public Use -
Mainland_P_Infrastructure
- Public Use -
Pemba_ClusterMaster
- Public Use - Pemba_ConsumptionCategory
- Pemba_ConsumptionItem
- Pemba_FoodItem
- Pemba_FoodItemUnit
- Pemba_FoodUnit
- Pemba_HHAsset
- Pemba_HHChild
- Pemba_HHConsData
-
Pemba_HHCredit
- Public Use - Pemba_HHCrop
-
Pemba_HHData -
Public Use - Pemba_HHDuration
-
Pemba_HHEnterprise
- Public Use - Pemba_HHFoodConsData
- Pemba_HHLabour
- Pemba_HHLivestock
-
Pemba_HHmember
- Public Use - Pemba_HHOtherDescription
- Pemba_HHPriceData
- Pemba_HHPrivTransfers
-
Pemba_HHSampleRecord
- Public Use - Pemba_HHShock
- Pemba_HHTransGroup
- Pemba_HHTransportMethod
- Pemba_ClusterMaster
- Pemba_CP_Agriculture
-
Pemba_CP_CashCrop
- Public Use -
Pemba_CP_CommunityData
- Public Use - Pemba_CP_Goods_Food
- Pemba_CP_Goods_NonFood
-
Pemba_CP_Health_Meds
- Public Use -
Pemba_CP_Health_Profs
- Public Use -
Pemba_CP_Health_Services
- Public Use -
Pemba_CP_Location
- Public Use - Pemba_CP_OtherDescription
- Pemba_CP_PoliticalInv
-
Pemba_CP_Services
- Public Use - Pemba_CP_TimeStampData
- Pemba_CP_Traffic
-
Pemba_CP_Transport
- Public Use - Pemba_District
-
Pemba_vKitongoji
- Public Use
What are the three most common tribes in this district? SECOND (V2AQ6b)
Data file: Mainland_CP_CommunityData - Public Use
Overview
Valid:
200
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
10
Range:
1 - 999
Format:
Numeric
Questions and instructions
Literal question
What are the three most common tribes in this district? SECOND
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 | 9 |
4.5%
|
| 8 | Bende | 0 |
0%
|
| 9 | Bondei | 2 |
1%
|
| 10 | Bungu | 0 |
0%
|
| 11 | Burunge | 0 |
0%
|
| 12 | Chagga | 0 |
0%
|
| 13 | Datoga | 0 |
0%
|
| 14 | Dhaiso | 0 |
0%
|
| 15 | Digo | 7 |
3.5%
|
| 16 | Doe | 0 |
0%
|
| 17 | Fipa | 7 |
3.5%
|
| 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 | 3 |
1.5%
|
| 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 | 1 |
0.5%
|
| 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 | 2 |
1%
|
| 54 | Machinga | 0 |
0%
|
| 55 | Magoma | 0 |
0%
|
| 56 | Makonde | 3 |
1.5%
|
| 57 | Makua | 2 |
1%
|
| 58 | Makwe | 0 |
0%
|
| 59 | Malila | 0 |
0%
|
| 60 | Mambwe | 1 |
0.5%
|
| 61 | Manda | 0 |
0%
|
| 62 | Matengo | 9 |
4.5%
|
| 63 | Matumbi | 0 |
0%
|
| 64 | Maviha | 0 |
0%
|
| 65 | Mbugwe | 0 |
0%
|
| 66 | Mbunga | 0 |
0%
|
| 67 | Mosiro | 0 |
0%
|
| 68 | Mpoto | 1 |
0.5%
|
| 69 | Mwanga | 0 |
0%
|
| 70 | Mwera | 1 |
0.5%
|
| 71 | Ndali | 15 |
7.5%
|
| 72 | Ndamba | 0 |
0%
|
| 73 | Ndendeule | 7 |
3.5%
|
| 74 | Ndengereko | 0 |
0%
|
| 75 | Ndonde | 0 |
0%
|
| 76 | Ngasa | 1 |
0.5%
|
| 77 | Ngindo | 0 |
0%
|
| 78 | Ngoni | 12 |
6%
|
| 79 | Ngulu | 0 |
0%
|
| 80 | Ngurimi | 0 |
0%
|
| 81 | Ngwele | 0 |
0%
|
| 82 | Nilamba | 0 |
0%
|
| 83 | Nindi | 1 |
0.5%
|
| 84 | Nyakyusa | 23 |
11.5%
|
| 85 | Nyambo | 0 |
0%
|
| 86 | Nyamwanga | 4 |
2%
|
| 87 | Nyamwezi | 1 |
0.5%
|
| 88 | Nyanyembe | 0 |
0%
|
| 89 | Nyaturu | 0 |
0%
|
| 90 | Nyiha | 11 |
5.5%
|
| 91 | Nyiramba | 0 |
0%
|
| 92 | Pangwa | 1 |
0.5%
|
| 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 | 11 |
5.5%
|
| 108 | Shubi | 0 |
0%
|
| 109 | Sizaki | 0 |
0%
|
| 110 | Suba | 0 |
0%
|
| 111 | Sukuma | 4 |
2%
|
| 112 | Sumbwa | 0 |
0%
|
| 113 | Swahili | 0 |
0%
|
| 114 | Temi | 0 |
0%
|
| 115 | Tongwe | 1 |
0.5%
|
| 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 | 12 |
6%
|
| 123 | Zanaki | 0 |
0%
|
| 124 | Zaramo | 0 |
0%
|
| 125 | Zigula | 1 |
0.5%
|
| 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 | 34 |
17%
|
| 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.
Interviewer instructions
Here we are asking of the three tribes which claim the majority of the kitongoji members. It should not be taken for granted that the native tribe(s) is the dominant one since this is not always the case. Agin instruct your respondents not to ignore the tribe(s) which claims the minority of the kitongoji members i.e. if the kitongoji have 500 people and out of these 480 are Sukumas, 5 are Ndengereko, 2 are Tumbatu and 13 are Fipa then the three most common tribes will be 1. SUKUMA, 2. FIPA and 3.NDENGEREKO
Description
Universe
Enabled if V2AQ6a <> "None [777]"