The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / LSMS / TZA_2021-2024_HFWMPS_V09_M / variable [F56]
lsms

High Frequency Welfare Monitoring Phone Survey 2021-2024

Tanzania, 2021 - 2024
Get Microdata
Reference ID
TZA_2021-2024_HFWMPS_v09_M
DOI
https://doi.org/10.48529/mggv-3b76
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS) High-Frequency Phone Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 27, 2022
Last modified
Jan 08, 2025
Page views
189028
Downloads
4853
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • r1_sect_1.dta
  • r1_sect_1b.dta
  • r1_sect_2.dta
  • r1_sect_a_3_4_5_6_7_8_10.dta
  • r2_sect_1.dta
  • r2_sect_1b.dta
  • r2_sect_2_6.dta
  • r2_sect_a_2_3_4_5_7_8_10.dta
  • r3_sect_1.dta
  • r3_sect_1b.dta
  • r3_sect_2_3b.dta
  • r3_sect_11.dta
  • r3_sect_a_2_3_4_5b_7_10.dta
  • r4_sect_1.dta
  • r4_sect_1b.dta
  • r4_sect_2.dta
  • r4_sect_7.dta
  • r4_sect_a_2_3_4_9b_10.dta
  • r5_sect_1.dta
  • r5_sect_1b.dta
  • r5_sect_5f.dta
  • r5_sect_a_2_3_4_5f_9a_10.dta
  • r6_sect_1.dta
  • r6_sect_1b.dta
  • r6_sect_2.dta
  • r6_sect_6.dta
  • r6_sect_a_2_3_5_7_10.dta
  • r7_sect_1.dta
  • r7_sect_1b.dta
  • r7_sect_2.dta
  • r7_sect_5.dta
  • r7_sect_6.dta
  • r7_sect_7.dta
  • r7_sect_8.dta
  • r7_sect_12b.dta
  • r7_sect_a_2_3_4_11_12a_10.dta
  • r8_sect_1.dta
  • r8_sect_1b.dta
  • r8_sect_2.dta
  • r8_sect_5.dta
  • r8_sect_6.dta
  • r8_sect_7.dta
  • r8_sect_8.dta
  • r8_sect_12b.dta
  • r8_sect_a_2_3_4_4a_11_12a_10.dta
  • r9_sect_1.dta
  • r9_sect_1b.dta
  • r9_sect_2.dta
  • r9_sect_5.dta
  • r9_sect_6.dta
  • r9_sect_7.dta
  • r9_sect_8.dta
  • r9_sect_12b.dta
  • r9_sect_a_2_3_4_11_12a_14_15_10.dta
  • r10_sect_1.dta
  • r10_sect_1b.dta
  • r10_sect_2.dta
  • r10_sect_2b.dta
  • r10_sect_5.dta
  • r10_sect_6.dta
  • r10_sect_7.dta
  • r10_sect_8.dta
  • r10_sect_12b.dta
  • r10_sect_a_2_3_4_4a_11_12a_10.dta
  • r5_sect_2.dta
  • r11_sect_1.dta
  • r11_sect_1b.dta
  • r11_sect_2.dta
  • r11_sect_2b.dta
  • r11_sect_5.dta
  • r11_sect_6.dta
  • r11_sect_7.dta
  • r11_sect_8.dta
  • r11_sect_12b.dta
  • r11_sect_13.dta
  • r11_sect_a_2_3_4_11_12a_10.dta
  • r12_sect_1.dta
  • r12_sect_1b.dta
  • r12_sect_2.dta
  • r12_sect_2b.dta
  • r12_sect_5.dta
  • r12_sect_6.dta
  • r12_sect_7.dta
  • r12_sect_8.dta
  • r12_sect_12b.dta
  • r12_sect_a_2_3_4_4a_11_12a_13_10.dta

DISTRICT (t0_district)

Data file: r10_sect_1.dta

Overview

Valid: 7946
Invalid: 32
Minimum: 11
Maximum: 552
Type: Discrete
Decimal: 0
Start: 3
End: 6
Width: 4
Range: 11 - 552
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 11. KONDOA 18
0.2%
12 12. MPWAPWA 11
0.1%
13 13. KONGWA 12
0.2%
14 14. CHAMWINO 10
0.1%
15 15. DODOMA URBAN 35
0.4%
16 16. BAHI 5
0.1%
17 17. CHEMBA 8
0.1%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 29
0.4%
22 22. MERU 77
1%
23 23. ARUSHA URBAN 60
0.8%
24 24. KARATU 30
0.4%
25 25. NGORONGORO 26
0.3%
26 26. ARUSHA RURAL 36
0.5%
27 27. LONGIDO 15
0.2%
31 31. ROMBO 35
0.4%
32 32. MWANGA 12
0.2%
33 33. SAME 26
0.3%
34 34. MOSHI RURAL 73
0.9%
35 35. HAI 62
0.8%
36 36. MOSHI URBAN 70
0.9%
37 37. SIHA 32
0.4%
41 41. LUSHOTO 91
1.1%
42 42. KOROGWE RURAL 46
0.6%
43 43. MUHEZA 61
0.8%
44 44. TANGA URBAN 64
0.8%
45 45. PANGANI 34
0.4%
46 46. HANDENI 38
0.5%
47 47. KILINDI 26
0.3%
48 48. MKINGA 7
0.1%
49 49. KOROGWE URBAN 3
0%
51 51. KILOSA 44
0.6%
52 52. MOROGORO RURAL 12
0.2%
53 53. KILOMBERO 85
1.1%
54 54. ULANGA 44
0.6%
55 55. MOROGORO URBAN 83
1%
56 56. MVOMERO 30
0.4%
57 57. GAIRO 24
0.3%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 83
1%
62 62. KIBAHA RURAL 15
0.2%
63 63. KISARAWE 23
0.3%
64 64. MKURANGA 22
0.3%
65 65. RUFIJI 60
0.8%
66 66. MAFIA 11
0.1%
67 67. KIBAHA URBAN 9
0.1%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 460
5.8%
72 72. ILALA 319
4%
73 73. TEMEKE 285
3.6%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 33
0.4%
82 82. LINDI RURAL 38
0.5%
83 83. NACHINGWEA 31
0.4%
84 84. LIWALE 2
0%
85 85. RUANGWA 3
0%
86 86. LINDI URBAN 7
0.1%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 45
0.6%
92 92. NEWALA 4
0.1%
93 93. MASASI RURAL 44
0.6%
94 94. TANDAHIMBA 74
0.9%
95 95. MTWARA MIKINDANI 52
0.7%
96 96. NANYUMBU 14
0.2%
97 97. MASASI URBAN 61
0.8%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 47
0.6%
102 102. SONGEA RURAL 49
0.6%
103 103. MBINGA 86
1.1%
104 104. SONGEA URBAN 51
0.6%
105 105. NAMTUMBO 31
0.4%
106 106. NYASA 16
0.2%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 44
0.6%
112 112. MUFINDI 224
2.8%
113 113. IRINGA URBAN 98
1.2%
114 114. KILOLO 22
0.3%
115 115. MAFINGA TOWN 22
0.3%
121 121. CHUNYA 11
0.1%
122 122. MBEYA RURAL 41
0.5%
123 123. KYELA 21
0.3%
124 124. RUNGWE 52
0.7%
125 125. ILEJE (OLD) 2
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 84
1.1%
128 128. MBEYA URBAN 44
0.6%
129 129. BUSOKELO 3
0%
131 131. IRAMBA 20
0.3%
132 132. SINGIDA RURAL 14
0.2%
133 133. MANYONI 61
0.8%
134 134. SINGIDA URBAN 45
0.6%
135 135. IKUNGI 17
0.2%
136 136. MKALAMA 34
0.4%
137 137. ITIGI 0
0%
141 141. NZEGA 57
0.7%
142 142. IGUNGA 22
0.3%
143 143. UYUI 22
0.3%
144 144. URAMBO 16
0.2%
145 145. SIKONGE 13
0.2%
146 146. TABORA URBAN 26
0.3%
147 147. KALIUA 16
0.2%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 38
0.5%
152 152. SUMBAWANGA RURAL 33
0.4%
153 153. NKASI 36
0.5%
154 154. SUMBAWANGA URBAN 24
0.3%
161 161. KIBONDO 14
0.2%
162 162. KASULU RURAL 38
0.5%
163 163. KIGOMA RURAL 40
0.5%
164 164. KIGOMA UJIJI URBAN 15
0.2%
165 165. UVINZA 68
0.9%
166 166. BUHIGWE 20
0.3%
167 167. KAKONKO 31
0.4%
168 168. KASULU TOWN 73
0.9%
171 171. SHINYANGA URBAN 7
0.1%
172 172. KISHAPU 23
0.3%
173 173. SHINYANGA RURAL 39
0.5%
174 174. KAHAMA RURAL 91
1.1%
175 175. KAHAMA TOWN 98
1.2%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 68
0.9%
182 182. BUKOBA RURAL 12
0.2%
183 183. MULEBA 110
1.4%
184 184. BIHARAMULO 7
0.1%
185 185. NGARA 8
0.1%
186 186. BUKOBA URBAN 55
0.7%
187 187. MISSENYI 40
0.5%
188 188. KYERWA 77
1%
191 191. UKEREWE 79
1%
192 192. MAGU 51
0.6%
193 193. MWANZA URBAN 42
0.5%
194 194. KWIMBA 49
0.6%
195 195. SENGEREMA 65
0.8%
196 196. ILEMELA 39
0.5%
197 197. MISUNGWI 16
0.2%
198 198. BUCHOSA 0
0%
201 201. TARIME 29
0.4%
202 202. SERENGETI 34
0.4%
203 203. MUSOMA RURAL 13
0.2%
204 204. BUNDA 39
0.5%
205 205. MUSOMA URBAN 46
0.6%
206 206. RORYA 23
0.3%
207 207. BUTIAMA 109
1.4%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 137
1.7%
212 212. HANANG 135
1.7%
213 213. MBULU 87
1.1%
214 214. SIMANJIRO 42
0.5%
215 215. KITETO 27
0.3%
216 216. BABATI TOWN 58
0.7%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 28
0.4%
222 222. WANGING'OMBE 19
0.2%
223 223. MAKETE 36
0.5%
224 224. NJOMBE RURAL 30
0.4%
225 225. LUDEWA 71
0.9%
226 226. MAKAMBAKO TOWN 64
0.8%
231 231. MPANDA URBAN 60
0.8%
232 232. MPANDA RURAL 49
0.6%
233 233. MLELE 113
1.4%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 17
0.2%
242 242. ITILIMA 29
0.4%
243 243. MEATU 21
0.3%
244 244. MASWA 30
0.4%
245 245. BUSEGA 46
0.6%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 159
2%
252 252. NYANG'HWALE 19
0.2%
253 253. MBOGWE 8
0.1%
254 254. BUKOMBE 54
0.7%
255 255. CHATO 33
0.4%
256 256. GEITA TOWN 0
0%
261 261. SONGWE 0
0%
262 262. MBOZI 0
0%
263 263. ILEJE 0
0%
264 264. TUNDUMA 0
0%
265 265. MOMBA 0
0%
410 410. HANDENI URBAN 0
0%
411 411. BUMBULI 0
0%
511 511. KASKAZINI ‘A’ 65
0.8%
512 512. KASKAZINI ‘B’ 44
0.6%
521 521. KATI 7
0.1%
522 522. KUSINI 4
0.1%
531 531. MAGHARIBI 58
0.7%
532 532. MJINI 14
0.2%
541 541. WETE 88
1.1%
542 542. MICHEWENI 94
1.2%
551 551. CHAKECHAKE 82
1%
552 552. MKOANI 39
0.5%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 32
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.
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.