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 [F72]
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
196396
Downloads
5003
  • 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: r11_sect_6.dta

Overview

Valid: 13405
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 70
0.5%
13 13. KONGWA 70
0.5%
14 14. CHAMWINO 63
0.5%
15 15. DODOMA URBAN 217
1.6%
16 16. BAHI 35
0.3%
17 17. CHEMBA 56
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 42
0.3%
22 22. MERU 112
0.8%
23 23. ARUSHA URBAN 105
0.8%
24 24. KARATU 49
0.4%
25 25. NGORONGORO 14
0.1%
26 26. ARUSHA RURAL 91
0.7%
27 27. LONGIDO 21
0.2%
31 31. ROMBO 98
0.7%
32 32. MWANGA 49
0.4%
33 33. SAME 84
0.6%
34 34. MOSHI RURAL 203
1.5%
35 35. HAI 42
0.3%
36 36. MOSHI URBAN 63
0.5%
37 37. SIHA 21
0.2%
41 41. LUSHOTO 119
0.9%
42 42. KOROGWE RURAL 77
0.6%
43 43. MUHEZA 77
0.6%
44 44. TANGA URBAN 56
0.4%
45 45. PANGANI 28
0.2%
46 46. HANDENI 35
0.3%
47 47. KILINDI 49
0.4%
48 48. MKINGA 21
0.2%
49 49. KOROGWE URBAN 7
0.1%
51 51. KILOSA 56
0.4%
52 52. MOROGORO RURAL 28
0.2%
53 53. KILOMBERO 133
1%
54 54. ULANGA 49
0.4%
55 55. MOROGORO URBAN 105
0.8%
56 56. MVOMERO 77
0.6%
57 57. GAIRO 35
0.3%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 140
1%
62 62. KIBAHA RURAL 35
0.3%
63 63. KISARAWE 42
0.3%
64 64. MKURANGA 42
0.3%
65 65. RUFIJI 98
0.7%
66 66. MAFIA 7
0.1%
67 67. KIBAHA URBAN 35
0.3%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 581
4.3%
72 72. ILALA 413
3.1%
73 73. TEMEKE 371
2.8%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 70
0.5%
82 82. LINDI RURAL 56
0.4%
83 83. NACHINGWEA 42
0.3%
84 84. LIWALE 7
0.1%
85 85. RUANGWA 21
0.2%
86 86. LINDI URBAN 28
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 35
0.3%
92 92. NEWALA 28
0.2%
93 93. MASASI RURAL 49
0.4%
94 94. TANDAHIMBA 91
0.7%
95 95. MTWARA MIKINDANI 77
0.6%
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 56
0.4%
102 102. SONGEA RURAL 56
0.4%
103 103. MBINGA 147
1.1%
104 104. SONGEA URBAN 63
0.5%
105 105. NAMTUMBO 70
0.5%
106 106. NYASA 14
0.1%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 70
0.5%
112 112. MUFINDI 217
1.6%
113 113. IRINGA URBAN 70
0.5%
114 114. KILOLO 63
0.5%
115 115. MAFINGA TOWN 28
0.2%
121 121. CHUNYA 56
0.4%
122 122. MBEYA RURAL 105
0.8%
123 123. KYELA 0
0%
124 124. RUNGWE 119
0.9%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 91
0.7%
128 128. MBEYA URBAN 77
0.6%
129 129. BUSOKELO 0
0%
131 131. IRAMBA 28
0.2%
132 132. SINGIDA RURAL 49
0.4%
133 133. MANYONI 98
0.7%
134 134. SINGIDA URBAN 84
0.6%
135 135. IKUNGI 28
0.2%
136 136. MKALAMA 28
0.2%
137 137. ITIGI 0
0%
141 141. NZEGA 126
0.9%
142 142. IGUNGA 56
0.4%
143 143. UYUI 63
0.5%
144 144. URAMBO 70
0.5%
145 145. SIKONGE 14
0.1%
146 146. TABORA URBAN 70
0.5%
147 147. KALIUA 7
0.1%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 42
0.3%
152 152. SUMBAWANGA RURAL 21
0.2%
153 153. NKASI 21
0.2%
154 154. SUMBAWANGA URBAN 70
0.5%
161 161. KIBONDO 42
0.3%
162 162. KASULU RURAL 35
0.3%
163 163. KIGOMA RURAL 56
0.4%
164 164. KIGOMA UJIJI URBAN 84
0.6%
165 165. UVINZA 42
0.3%
166 166. BUHIGWE 70
0.5%
167 167. KAKONKO 56
0.4%
168 168. KASULU TOWN 14
0.1%
171 171. SHINYANGA URBAN 21
0.2%
172 172. KISHAPU 63
0.5%
173 173. SHINYANGA RURAL 98
0.7%
174 174. KAHAMA RURAL 140
1%
175 175. KAHAMA TOWN 77
0.6%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 49
0.4%
182 182. BUKOBA RURAL 28
0.2%
183 183. MULEBA 91
0.7%
184 184. BIHARAMULO 7
0.1%
185 185. NGARA 14
0.1%
186 186. BUKOBA URBAN 70
0.5%
187 187. MISSENYI 49
0.4%
188 188. KYERWA 56
0.4%
191 191. UKEREWE 112
0.8%
192 192. MAGU 63
0.5%
193 193. MWANZA URBAN 77
0.6%
194 194. KWIMBA 70
0.5%
195 195. SENGEREMA 119
0.9%
196 196. ILEMELA 105
0.8%
197 197. MISUNGWI 42
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 91
0.7%
202 202. SERENGETI 28
0.2%
203 203. MUSOMA RURAL 35
0.3%
204 204. BUNDA 77
0.6%
205 205. MUSOMA URBAN 56
0.4%
206 206. RORYA 42
0.3%
207 207. BUTIAMA 77
0.6%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 105
0.8%
212 212. HANANG 119
0.9%
213 213. MBULU 105
0.8%
214 214. SIMANJIRO 56
0.4%
215 215. KITETO 56
0.4%
216 216. BABATI TOWN 91
0.7%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 49
0.4%
222 222. WANGING'OMBE 84
0.6%
223 223. MAKETE 49
0.4%
224 224. NJOMBE RURAL 49
0.4%
225 225. LUDEWA 70
0.5%
226 226. MAKAMBAKO TOWN 147
1.1%
231 231. MPANDA URBAN 105
0.8%
232 232. MPANDA RURAL 49
0.4%
233 233. MLELE 133
1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 119
0.9%
242 242. ITILIMA 49
0.4%
243 243. MEATU 77
0.6%
244 244. MASWA 56
0.4%
245 245. BUSEGA 56
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 224
1.7%
252 252. NYANG'HWALE 49
0.4%
253 253. MBOGWE 35
0.3%
254 254. BUKOMBE 49
0.4%
255 255. CHATO 77
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’ 399
3%
512 512. KASKAZINI ‘B’ 238
1.8%
521 521. KATI 42
0.3%
522 522. KUSINI 28
0.2%
531 531. MAGHARIBI 259
1.9%
532 532. MJINI 70
0.5%
541 541. WETE 490
3.7%
542 542. MICHEWENI 245
1.8%
551 551. CHAKECHAKE 252
1.9%
552 552. MKOANI 112
0.8%
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.