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Household Budget Survey 2017-2018

Tanzania, 2017 - 2018
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Reference ID
TZA_2017_HBS_v01_M
Producer(s)
National Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
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4.2.2. In which district were %rostertitle% born? (S4_2_2)

Data file: INDmaster_0

Overview

Valid: 45722
Invalid: 920
Minimum: 11
Maximum: 1210
Type: Discrete
Decimal: 0
Start: 339
End: 342
Width: 4
Range: 11 - 1210
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 KONDOA 292
0.6%
12 MPWAPWA 247
0.5%
13 KONGWA 244
0.5%
14 CHAMWINO 251
0.5%
15 DODOMA URBAN 257
0.6%
16 BAHI 146
0.3%
17 CHEMBA 183
0.4%
21 MONDULI 265
0.6%
22 MERU 304
0.7%
23 ARUSHA URBAN 305
0.7%
24 KARATU 321
0.7%
25 NGORONGORO 198
0.4%
26 ARUSHA RURAL 193
0.4%
27 LONGIDO 176
0.4%
31 ROMBO 303
0.7%
32 MWANGA 155
0.3%
33 SAME 259
0.6%
34 MOSHI RURAL 556
1.2%
35 HAI 209
0.5%
36 MOSHI URBAN 153
0.3%
37 SIHA 147
0.3%
41 LUSHOTO 539
1.2%
42 KOROGWE RURAL 159
0.3%
43 MUHEZA 225
0.5%
44 TANGA URBAN 273
0.6%
45 PANGANI 60
0.1%
46 HANDENI 309
0.7%
47 KILINDI 170
0.4%
48 MKINGA 94
0.2%
49 KOROGWE URBAN 117
0.3%
51 KILOSA 327
0.7%
52 MOROGORO RURAL 199
0.4%
53 KILOMBERO 267
0.6%
54 ULANGA 217
0.5%
55 MOROGORO URBAN 152
0.3%
56 MVOMERO 296
0.6%
57 GAIRO 94
0.2%
61 BAGAMOYO 266
0.6%
62 KIBAHA RURAL 77
0.2%
63 KISARAWE 153
0.3%
64 MKURANGA 139
0.3%
65 RUFIJI 295
0.6%
66 MAFIA 35
0.1%
67 KIBAHA URBAN 78
0.2%
71 KINONDONI 711
1.6%
72 ILALA 648
1.4%
73 TEMEKE 608
1.3%
81 KILWA 292
0.6%
82 LINDI RURAL 303
0.7%
83 NACHINGWEA 201
0.4%
84 LIWALE 137
0.3%
85 RUANGWA 145
0.3%
86 LINDI URBAN 100
0.2%
91 MTWARA RURAL 184
0.4%
92 NEWALA 231
0.5%
93 MASASI RURAL 265
0.6%
94 TANDAHIMBA 233
0.5%
95 MTWARA MIKINDANI 55
0.1%
96 NANYUMBU 124
0.3%
97 MASASI URBAN 140
0.3%
101 TUNDURU 300
0.7%
102 SONGEA RURAL 205
0.4%
103 MBINGA 384
0.8%
104 SONGEA URBAN 139
0.3%
105 NAMTUMBO 165
0.4%
106 NYASA 91
0.2%
111 IRINGA RURAL 355
0.8%
112 MUFINDI 435
1%
113 IRINGA URBAN 177
0.4%
114 KILOLO 281
0.6%
115 MAFINGA 79
0.2%
121 CHUNYA 171
0.4%
122 MBEYA RURAL 418
0.9%
123 KYELA 198
0.4%
124 RUNGWE 421
0.9%
125 ILEJE 57
0.1%
126 MBOZI 185
0.4%
127 MBALALI 300
0.7%
128 MBEYA URBAN 211
0.5%
129 MOMBA 7
0%
131 IRAMBA 300
0.7%
132 SINGIDA RURAL 412
0.9%
133 MANYONI 319
0.7%
134 SINGIDA URBAN 164
0.4%
135 IKUNGI 261
0.6%
136 MKALAMA 142
0.3%
141 NZEGA 518
1.1%
142 IGUNGA 397
0.9%
143 UYUI 369
0.8%
144 URAMBA 220
0.5%
145 SIKONGE 145
0.3%
146 TABORA URBAN 138
0.3%
147 KALIUA 197
0.4%
151 KALAMBO 317
0.7%
152 SUMBAWANGA RURAL 660
1.4%
153 NKASI 431
0.9%
154 SUMBAWANGA URBAN 187
0.4%
162 KIBONDO 230
0.5%
163 KASULU RURAL 335
0.7%
164 KIGOMA RURAL 183
0.4%
165 KIGOMA URBAN 299
0.7%
166 UVINZA 259
0.6%
167 BUHIGWE 189
0.4%
168 KAKONKO 145
0.3%
169 KASULU URBAN 185
0.4%
171 SHINYANGA RURAL 855
1.9%
172 KISHAPU 571
1.2%
173 SHINYANGA URBAN 314
0.7%
174 KAHAMA RURAL 896
2%
175 KAHAMA URBAN 208
0.5%
181 KARAGWE 331
0.7%
182 BUKOBA RURAL 262
0.6%
183 MULEBA 415
0.9%
184 BIHARAMULO 224
0.5%
185 NGARA 267
0.6%
186 BUKOBA URBAN 110
0.2%
187 MISSENYI 164
0.4%
188 KYERWA 172
0.4%
191 UKEREWE 379
0.8%
192 MAGU 399
0.9%
193 NYAMAGANA 264
0.6%
194 KWIMBA 549
1.2%
195 SENGEREMA 593
1.3%
196 ILEMELA 259
0.6%
197 MISUNGWI 423
0.9%
201 TARIME 610
1.3%
202 SERENGETI 346
0.8%
203 MUSOMA RURAL 416
0.9%
204 BUNDA 438
1%
205 MUSOMA URBAN 149
0.3%
206 RORYA 301
0.7%
207 BUTIAMA 277
0.6%
211 BABATI RURAL 313
0.7%
212 HANANG 326
0.7%
213 MBULU 398
0.9%
214 SIMANJIRO 92
0.2%
215 KITETO 182
0.4%
216 BABATI URBAN 111
0.2%
221 NJOMBE URBAN 144
0.3%
222 WANGING'OMBE 254
0.6%
223 MAKETE 217
0.5%
224 NJOMBE RURAL 166
0.4%
225 LUDEWA 282
0.6%
226 MAKAMBAKO 145
0.3%
231 MPANDA URBAN 429
0.9%
232 MPANDA RURAL 285
0.6%
233 MLELE 573
1.3%
241 BARIADI 748
1.6%
242 ITILIMA 565
1.2%
243 MEATU 507
1.1%
244 MASWA 663
1.5%
245 BUSEGA 323
0.7%
251 GEITA 1027
2.2%
252 NYANG'HWALE 277
0.6%
253 MBOGWE 151
0.3%
254 BUKOMBE 262
0.6%
255 CHATO 358
0.8%
261 SONGWE URBAN 135
0.3%
262 ILEJE 167
0.4%
263 MBOZI 503
1.1%
264 MOMBA 172
0.4%
265 TUNDUMA MJI 66
0.1%
410 HANDENI URBAN 22
0%
1210 TUNDUMA 4
0%
Sysmiss 920
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.
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