Kagera Health and Development Survey 2010, Wave 6
Tanzania, 2010
Get Microdata
Reference ID
TZA_2010_KHDS_v01_M
Producer(s)
Economic Development Initiatives
Collection(s)
Metadata
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
86262
Downloads
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- Data files
- anthro
- HH2WeekExpense
- HHAnimProdCons
- HHAnnualExpense
- HHData
- HHDurableAsset
- HHEnterprise
- HHEnterprise2004
- HHEnterpriseMember
- HHExpenditureInd
- HHExpenditureInd2wks
- HHFoodExpendNS
- HHFoodExpendS
- HHGiftLoanIn
- HHGiftLoanOut
- HHInheritance
- HHInheritanceGroup
- HHInheritanceInd
- HHLifeEvent
- HHLinks
- HHLivestock
- HHMember
- HHMemberEE
- HHOutsideOrg
- HHPlot
- HHPriceData
- HHProdCons
- HHSampleRecord
- HHSeasonMonth
- LinkIDs
- PHHM
- PHHMMortality
- PHHMTimeOfDeath
- PHHMWedding
- PHHMWeddingPayment
- QXOtherDescription
- SibRoster
Head's Tribe (T0Qb)
Data file: HHData
Overview
Valid:
3325
Invalid:
1
Minimum:
88
Maximum:
233
Type:
Discrete
Decimal:
0
Start:
53
End:
55
Width:
3
Range:
29 - 233
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 29 | Isanzu | 0 |
0%
|
| 88 | Other (specify) | 21 |
0.6%
|
| 99 | DK | 0 |
0%
|
| 101 | Alagwa | 1 |
0%
|
| 102 | Akiek | 0 |
0%
|
| 103 | Arusha | 0 |
0%
|
| 104 | Assa | 0 |
0%
|
| 105 | Barabaig | 0 |
0%
|
| 106 | Bembe | 0 |
0%
|
| 107 | Bena | 1 |
0%
|
| 108 | Bende | 0 |
0%
|
| 109 | Bondei | 0 |
0%
|
| 110 | Bungu | 0 |
0%
|
| 111 | Burunge | 0 |
0%
|
| 112 | Chagga | 5 |
0.2%
|
| 113 | Datoga | 0 |
0%
|
| 114 | Dhaiso | 0 |
0%
|
| 115 | Digo | 0 |
0%
|
| 116 | Doe | 0 |
0%
|
| 117 | Fipa | 2 |
0.1%
|
| 118 | Gogo | 4 |
0.1%
|
| 119 | Gorowa | 0 |
0%
|
| 120 | Gweno | 0 |
0%
|
| 121 | Ha | 87 |
2.6%
|
| 122 | Hadzabe | 4 |
0.1%
|
| 123 | Hangaza | 292 |
8.8%
|
| 124 | Haya | 2226 |
66.9%
|
| 125 | Hehe | 2 |
0.1%
|
| 126 | Ikizu | 0 |
0%
|
| 127 | Ikoma | 0 |
0%
|
| 128 | Iraqw | 0 |
0%
|
| 129 | Jiji | 0 |
0%
|
| 130 | Jita | 6 |
0.2%
|
| 131 | Kabwa | 0 |
0%
|
| 132 | Kaguru | 0 |
0%
|
| 133 | Kahe | 0 |
0%
|
| 134 | Kami | 0 |
0%
|
| 135 | Kara (Regi) | 0 |
0%
|
| 136 | Kerewe | 8 |
0.2%
|
| 137 | Kimbu | 0 |
0%
|
| 138 | Kinga | 0 |
0%
|
| 139 | Kisankasa | 0 |
0%
|
| 140 | Kisi | 0 |
0%
|
| 141 | Konongo | 0 |
0%
|
| 142 | Kuria | 7 |
0.2%
|
| 143 | Kutu | 0 |
0%
|
| 144 | Kw'adza | 0 |
0%
|
| 145 | Kwavi | 0 |
0%
|
| 146 | Kwaya | 0 |
0%
|
| 147 | Kwere | 0 |
0%
|
| 148 | Kwifa | 0 |
0%
|
| 149 | Lambya | 0 |
0%
|
| 150 | Luguru | 0 |
0%
|
| 151 | Luo | 1 |
0%
|
| 152 | Maasai | 1 |
0%
|
| 153 | Machinga | 0 |
0%
|
| 154 | Magoma | 0 |
0%
|
| 155 | Makonde | 1 |
0%
|
| 156 | Makua | 1 |
0%
|
| 157 | Makwe | 0 |
0%
|
| 158 | Malila | 0 |
0%
|
| 159 | Mambwe | 0 |
0%
|
| 160 | Manda | 0 |
0%
|
| 161 | Matengo | 0 |
0%
|
| 162 | Matumbi | 0 |
0%
|
| 163 | Maviha | 0 |
0%
|
| 164 | Mbugwe | 0 |
0%
|
| 165 | Mbunga | 0 |
0%
|
| 166 | Mosiro | 0 |
0%
|
| 167 | Mpoto | 0 |
0%
|
| 168 | Mwanga | 0 |
0%
|
| 169 | Mwera | 0 |
0%
|
| 170 | Ndali | 0 |
0%
|
| 171 | Ndamba | 0 |
0%
|
| 172 | Ndendeule | 0 |
0%
|
| 173 | Ndengereko | 0 |
0%
|
| 174 | Ndonde | 0 |
0%
|
| 175 | Ngasa | 35 |
1.1%
|
| 176 | Ngindo | 0 |
0%
|
| 177 | Ngoni | 3 |
0.1%
|
| 178 | Ngulu | 0 |
0%
|
| 179 | Ngurimi | 0 |
0%
|
| 180 | Ngwele | 0 |
0%
|
| 181 | Nilamba | 1 |
0%
|
| 182 | Nindi | 0 |
0%
|
| 183 | Nyakyusa | 1 |
0%
|
| 184 | Nyambo | 329 |
9.9%
|
| 185 | Nyamwanga | 0 |
0%
|
| 186 | Nyamwezi | 5 |
0.2%
|
| 187 | Nyanyembe | 0 |
0%
|
| 188 | Nyaturu | 0 |
0%
|
| 189 | Nyiha | 1 |
0%
|
| 190 | Nyiramba | 0 |
0%
|
| 191 | Pangwa | 0 |
0%
|
| 192 | Pare | 1 |
0%
|
| 193 | Pimbwe | 0 |
0%
|
| 194 | Pogolo | 0 |
0%
|
| 195 | Rangi | 0 |
0%
|
| 196 | Rufiji | 0 |
0%
|
| 197 | Rungi | 0 |
0%
|
| 198 | Rungu | 0 |
0%
|
| 199 | Rungwa | 0 |
0%
|
| 200 | Rwa | 1 |
0%
|
| 201 | Safwa | 0 |
0%
|
| 202 | Sagara | 0 |
0%
|
| 203 | Sandawe | 0 |
0%
|
| 204 | Sangu | 1 |
0%
|
| 205 | Segeju | 0 |
0%
|
| 206 | Shambaa | 1 |
0%
|
| 207 | Shubi | 61 |
1.8%
|
| 208 | Sizaki | 0 |
0%
|
| 209 | Suba | 2 |
0.1%
|
| 210 | Sukuma | 88 |
2.6%
|
| 211 | Sumbwa | 40 |
1.2%
|
| 212 | Swahili | 0 |
0%
|
| 213 | Temi | 0 |
0%
|
| 214 | Tongwe | 0 |
0%
|
| 215 | Tumbuka | 1 |
0%
|
| 216 | Vidunda | 0 |
0%
|
| 217 | Vinza | 0 |
0%
|
| 218 | Wanda | 0 |
0%
|
| 219 | Wanji | 0 |
0%
|
| 220 | Ware | 0 |
0%
|
| 221 | Yao | 0 |
0%
|
| 222 | Zanaki | 4 |
0.1%
|
| 223 | Zaramo | 3 |
0.1%
|
| 224 | Zigula | 6 |
0.2%
|
| 225 | Zinza | 13 |
0.4%
|
| 226 | Zyoba | 0 |
0%
|
| 227 | Mangati | 0 |
0%
|
| 228 | Wafyomi | 0 |
0%
|
| 229 | Manyema | 2 |
0.1%
|
| 230 | Mbugu | 0 |
0%
|
| 233 | Foreign national | 56 |
1.7%
|
| Sysmiss | 1 |
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.