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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
Mar 04, 2022
Last modified
May 15, 2022
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4.2.2. In which district were %rostertitle% born? (S4_2_2)

Data file: HBS_2017-18 Consumption Aggregate and Poverty Analysis Variables

Overview

Valid: 9389
Invalid: 74
Minimum: 11
Maximum: 1210
Type: Discrete
Decimal: 0
Start: 5012
End: 5015
Width: 4
Range: 11 - 1210
Format: Numeric

Questions and instructions

Literal question
Section 4: Citizenship and Migration
In which region and district was [NAME] born? District Name
Categories
Value Category Cases
11 KONDOA 102
1.1%
12 MPWAPWA 71
0.8%
13 KONGWA 56
0.6%
14 CHAMWINO 67
0.7%
15 DODOMA URBAN 49
0.5%
16 BAHI 39
0.4%
17 CHEMBA 38
0.4%
21 MONDULI 49
0.5%
22 MERU 71
0.8%
23 ARUSHA URBAN 42
0.4%
24 KARATU 64
0.7%
25 NGORONGORO 37
0.4%
26 ARUSHA RURAL 40
0.4%
27 LONGIDO 33
0.4%
31 ROMBO 97
1%
32 MWANGA 47
0.5%
33 SAME 82
0.9%
34 MOSHI RURAL 187
2%
35 HAI 64
0.7%
36 MOSHI URBAN 34
0.4%
37 SIHA 29
0.3%
41 LUSHOTO 143
1.5%
42 KOROGWE RURAL 44
0.5%
43 MUHEZA 59
0.6%
44 TANGA URBAN 65
0.7%
45 PANGANI 20
0.2%
46 HANDENI 76
0.8%
47 KILINDI 30
0.3%
48 MKINGA 30
0.3%
49 KOROGWE URBAN 21
0.2%
51 KILOSA 97
1%
52 MOROGORO RURAL 65
0.7%
53 KILOMBERO 48
0.5%
54 ULANGA 66
0.7%
55 MOROGORO URBAN 23
0.2%
56 MVOMERO 56
0.6%
57 GAIRO 18
0.2%
61 BAGAMOYO 59
0.6%
62 KIBAHA RURAL 19
0.2%
63 KISARAWE 50
0.5%
64 MKURANGA 41
0.4%
65 RUFIJI 84
0.9%
66 MAFIA 10
0.1%
67 KIBAHA URBAN 16
0.2%
71 KINONDONI 85
0.9%
72 ILALA 87
0.9%
73 TEMEKE 68
0.7%
81 KILWA 88
0.9%
82 LINDI RURAL 86
0.9%
83 NACHINGWEA 51
0.5%
84 LIWALE 30
0.3%
85 RUANGWA 42
0.4%
86 LINDI URBAN 24
0.3%
91 MTWARA RURAL 54
0.6%
92 NEWALA 87
0.9%
93 MASASI RURAL 80
0.9%
94 TANDAHIMBA 55
0.6%
95 MTWARA MIKINDANI 14
0.1%
96 NANYUMBU 31
0.3%
97 MASASI URBAN 40
0.4%
101 TUNDURU 66
0.7%
102 SONGEA RURAL 50
0.5%
103 MBINGA 97
1%
104 SONGEA URBAN 36
0.4%
105 NAMTUMBO 38
0.4%
106 NYASA 17
0.2%
111 IRINGA RURAL 103
1.1%
112 MUFINDI 131
1.4%
113 IRINGA URBAN 41
0.4%
114 KILOLO 68
0.7%
115 MAFINGA 16
0.2%
121 CHUNYA 35
0.4%
122 MBEYA RURAL 93
1%
123 KYELA 58
0.6%
124 RUNGWE 134
1.4%
125 ILEJE 23
0.2%
126 MBOZI 62
0.7%
127 MBALALI 60
0.6%
128 MBEYA URBAN 47
0.5%
129 MOMBA 2
0%
131 IRAMBA 80
0.9%
132 SINGIDA RURAL 90
1%
133 MANYONI 55
0.6%
134 SINGIDA URBAN 43
0.5%
135 IKUNGI 49
0.5%
136 MKALAMA 32
0.3%
141 NZEGA 99
1.1%
142 IGUNGA 50
0.5%
143 UYUI 48
0.5%
144 URAMBA 39
0.4%
145 SIKONGE 21
0.2%
146 TABORA URBAN 39
0.4%
147 KALIUA 10
0.1%
151 KALAMBO 54
0.6%
152 SUMBAWANGA RURAL 131
1.4%
153 NKASI 83
0.9%
154 SUMBAWANGA URBAN 39
0.4%
162 KIBONDO 66
0.7%
163 KASULU RURAL 92
1%
164 KIGOMA RURAL 51
0.5%
165 KIGOMA URBAN 70
0.7%
166 UVINZA 31
0.3%
167 BUHIGWE 38
0.4%
168 KAKONKO 34
0.4%
169 KASULU URBAN 43
0.5%
171 SHINYANGA RURAL 168
1.8%
172 KISHAPU 94
1%
173 SHINYANGA URBAN 54
0.6%
174 KAHAMA RURAL 142
1.5%
175 KAHAMA URBAN 40
0.4%
181 KARAGWE 86
0.9%
182 BUKOBA RURAL 80
0.9%
183 MULEBA 98
1%
184 BIHARAMULO 31
0.3%
185 NGARA 59
0.6%
186 BUKOBA URBAN 26
0.3%
187 MISSENYI 43
0.5%
188 KYERWA 25
0.3%
191 UKEREWE 71
0.8%
192 MAGU 99
1.1%
193 NYAMAGANA 40
0.4%
194 KWIMBA 140
1.5%
195 SENGEREMA 118
1.3%
196 ILEMELA 33
0.4%
197 MISUNGWI 61
0.6%
201 TARIME 128
1.4%
202 SERENGETI 58
0.6%
203 MUSOMA RURAL 83
0.9%
204 BUNDA 65
0.7%
205 MUSOMA URBAN 20
0.2%
206 RORYA 58
0.6%
207 BUTIAMA 35
0.4%
211 BABATI RURAL 59
0.6%
212 HANANG 38
0.4%
213 MBULU 70
0.7%
214 SIMANJIRO 17
0.2%
215 KITETO 18
0.2%
216 BABATI URBAN 27
0.3%
221 NJOMBE URBAN 38
0.4%
222 WANGING'OMBE 75
0.8%
223 MAKETE 71
0.8%
224 NJOMBE RURAL 57
0.6%
225 LUDEWA 64
0.7%
226 MAKAMBAKO 32
0.3%
231 MPANDA URBAN 43
0.5%
232 MPANDA RURAL 42
0.4%
233 MLELE 34
0.4%
241 BARIADI 134
1.4%
242 ITILIMA 76
0.8%
243 MEATU 57
0.6%
244 MASWA 118
1.3%
245 BUSEGA 41
0.4%
251 GEITA 101
1.1%
252 NYANG'HWALE 40
0.4%
253 MBOGWE 11
0.1%
254 BUKOMBE 20
0.2%
255 CHATO 28
0.3%
261 SONGWE URBAN 8
0.1%
262 ILEJE 43
0.5%
263 MBOZI 112
1.2%
264 MOMBA 26
0.3%
265 TUNDUMA MJI 1
0%
410 HANDENI URBAN 7
0.1%
1210 TUNDUMA 2
0%
Sysmiss 74
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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