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 [F42]
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
192031
Downloads
4930
  • 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: r8_sect_6.dta

Overview

Valid: 14266
Invalid: 28
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 56
0.4%
12 12. MPWAPWA 56
0.4%
13 13. KONGWA 70
0.5%
14 14. CHAMWINO 63
0.4%
15 15. DODOMA URBAN 245
1.7%
16 16. BAHI 28
0.2%
17 17. CHEMBA 56
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 56
0.4%
22 22. MERU 140
1%
23 23. ARUSHA URBAN 112
0.8%
24 24. KARATU 63
0.4%
25 25. NGORONGORO 21
0.1%
26 26. ARUSHA RURAL 91
0.6%
27 27. LONGIDO 21
0.1%
31 31. ROMBO 98
0.7%
32 32. MWANGA 49
0.3%
33 33. SAME 84
0.6%
34 34. MOSHI RURAL 203
1.4%
35 35. HAI 63
0.4%
36 36. MOSHI URBAN 77
0.5%
37 37. SIHA 35
0.2%
41 41. LUSHOTO 119
0.8%
42 42. KOROGWE RURAL 91
0.6%
43 43. MUHEZA 84
0.6%
44 44. TANGA URBAN 84
0.6%
45 45. PANGANI 35
0.2%
46 46. HANDENI 42
0.3%
47 47. KILINDI 42
0.3%
48 48. MKINGA 14
0.1%
49 49. KOROGWE URBAN 7
0%
51 51. KILOSA 56
0.4%
52 52. MOROGORO RURAL 35
0.2%
53 53. KILOMBERO 147
1%
54 54. ULANGA 70
0.5%
55 55. MOROGORO URBAN 112
0.8%
56 56. MVOMERO 77
0.5%
57 57. GAIRO 35
0.2%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 147
1%
62 62. KIBAHA RURAL 35
0.2%
63 63. KISARAWE 42
0.3%
64 64. MKURANGA 42
0.3%
65 65. RUFIJI 105
0.7%
66 66. MAFIA 14
0.1%
67 67. KIBAHA URBAN 35
0.2%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 609
4.3%
72 72. ILALA 448
3.1%
73 73. TEMEKE 413
2.9%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 63
0.4%
82 82. LINDI RURAL 49
0.3%
83 83. NACHINGWEA 42
0.3%
84 84. LIWALE 7
0%
85 85. RUANGWA 21
0.1%
86 86. LINDI URBAN 28
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 63
0.4%
92 92. NEWALA 21
0.1%
93 93. MASASI RURAL 49
0.3%
94 94. TANDAHIMBA 98
0.7%
95 95. MTWARA MIKINDANI 77
0.5%
96 96. NANYUMBU 28
0.2%
97 97. MASASI URBAN 70
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 49
0.3%
102 102. SONGEA RURAL 56
0.4%
103 103. MBINGA 154
1.1%
104 104. SONGEA URBAN 63
0.4%
105 105. NAMTUMBO 84
0.6%
106 106. NYASA 21
0.1%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 98
0.7%
112 112. MUFINDI 245
1.7%
113 113. IRINGA URBAN 98
0.7%
114 114. KILOLO 56
0.4%
115 115. MAFINGA TOWN 42
0.3%
121 121. CHUNYA 56
0.4%
122 122. MBEYA RURAL 126
0.9%
123 123. KYELA 14
0.1%
124 124. RUNGWE 112
0.8%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 105
0.7%
128 128. MBEYA URBAN 77
0.5%
129 129. BUSOKELO 7
0%
131 131. IRAMBA 28
0.2%
132 132. SINGIDA RURAL 49
0.3%
133 133. MANYONI 112
0.8%
134 134. SINGIDA URBAN 98
0.7%
135 135. IKUNGI 28
0.2%
136 136. MKALAMA 42
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 140
1%
142 142. IGUNGA 63
0.4%
143 143. UYUI 63
0.4%
144 144. URAMBO 70
0.5%
145 145. SIKONGE 14
0.1%
146 146. TABORA URBAN 63
0.4%
147 147. KALIUA 21
0.1%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 35
0.2%
152 152. SUMBAWANGA RURAL 21
0.1%
153 153. NKASI 35
0.2%
154 154. SUMBAWANGA URBAN 70
0.5%
161 161. KIBONDO 28
0.2%
162 162. KASULU RURAL 42
0.3%
163 163. KIGOMA RURAL 56
0.4%
164 164. KIGOMA UJIJI URBAN 91
0.6%
165 165. UVINZA 63
0.4%
166 166. BUHIGWE 70
0.5%
167 167. KAKONKO 56
0.4%
168 168. KASULU TOWN 28
0.2%
171 171. SHINYANGA URBAN 21
0.1%
172 172. KISHAPU 56
0.4%
173 173. SHINYANGA RURAL 84
0.6%
174 174. KAHAMA RURAL 154
1.1%
175 175. KAHAMA TOWN 84
0.6%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 56
0.4%
182 182. BUKOBA RURAL 21
0.1%
183 183. MULEBA 98
0.7%
184 184. BIHARAMULO 14
0.1%
185 185. NGARA 14
0.1%
186 186. BUKOBA URBAN 77
0.5%
187 187. MISSENYI 42
0.3%
188 188. KYERWA 56
0.4%
191 191. UKEREWE 119
0.8%
192 192. MAGU 70
0.5%
193 193. MWANZA URBAN 84
0.6%
194 194. KWIMBA 63
0.4%
195 195. SENGEREMA 119
0.8%
196 196. ILEMELA 112
0.8%
197 197. MISUNGWI 42
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 91
0.6%
202 202. SERENGETI 35
0.2%
203 203. MUSOMA RURAL 35
0.2%
204 204. BUNDA 91
0.6%
205 205. MUSOMA URBAN 77
0.5%
206 206. RORYA 49
0.3%
207 207. BUTIAMA 119
0.8%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 105
0.7%
212 212. HANANG 119
0.8%
213 213. MBULU 91
0.6%
214 214. SIMANJIRO 63
0.4%
215 215. KITETO 56
0.4%
216 216. BABATI TOWN 84
0.6%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 56
0.4%
222 222. WANGING'OMBE 77
0.5%
223 223. MAKETE 49
0.3%
224 224. NJOMBE RURAL 56
0.4%
225 225. LUDEWA 63
0.4%
226 226. MAKAMBAKO TOWN 154
1.1%
231 231. MPANDA URBAN 91
0.6%
232 232. MPANDA RURAL 56
0.4%
233 233. MLELE 154
1.1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 112
0.8%
242 242. ITILIMA 49
0.3%
243 243. MEATU 84
0.6%
244 244. MASWA 70
0.5%
245 245. BUSEGA 56
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 224
1.6%
252 252. NYANG'HWALE 56
0.4%
253 253. MBOGWE 35
0.2%
254 254. BUKOMBE 63
0.4%
255 255. CHATO 84
0.6%
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’ 406
2.8%
512 512. KASKAZINI ‘B’ 245
1.7%
521 521. KATI 42
0.3%
522 522. KUSINI 28
0.2%
531 531. MAGHARIBI 266
1.9%
532 532. MJINI 84
0.6%
541 541. WETE 532
3.7%
542 542. MICHEWENI 238
1.7%
551 551. CHAKECHAKE 245
1.7%
552 552. MKOANI 98
0.7%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 28
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.