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 [F34]
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
190281
Downloads
4888
  • 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: r7_sect_7.dta

Overview

Valid: 8416
Invalid: 16
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 32
0.4%
12 12. MPWAPWA 44
0.5%
13 13. KONGWA 48
0.6%
14 14. CHAMWINO 36
0.4%
15 15. DODOMA URBAN 152
1.8%
16 16. BAHI 20
0.2%
17 17. CHEMBA 32
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 32
0.4%
22 22. MERU 88
1%
23 23. ARUSHA URBAN 72
0.9%
24 24. KARATU 36
0.4%
25 25. NGORONGORO 16
0.2%
26 26. ARUSHA RURAL 64
0.8%
27 27. LONGIDO 12
0.1%
31 31. ROMBO 52
0.6%
32 32. MWANGA 28
0.3%
33 33. SAME 44
0.5%
34 34. MOSHI RURAL 124
1.5%
35 35. HAI 36
0.4%
36 36. MOSHI URBAN 52
0.6%
37 37. SIHA 24
0.3%
41 41. LUSHOTO 68
0.8%
42 42. KOROGWE RURAL 48
0.6%
43 43. MUHEZA 48
0.6%
44 44. TANGA URBAN 56
0.7%
45 45. PANGANI 32
0.4%
46 46. HANDENI 24
0.3%
47 47. KILINDI 28
0.3%
48 48. MKINGA 8
0.1%
49 49. KOROGWE URBAN 4
0%
51 51. KILOSA 32
0.4%
52 52. MOROGORO RURAL 20
0.2%
53 53. KILOMBERO 84
1%
54 54. ULANGA 40
0.5%
55 55. MOROGORO URBAN 56
0.7%
56 56. MVOMERO 40
0.5%
57 57. GAIRO 20
0.2%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 88
1%
62 62. KIBAHA RURAL 16
0.2%
63 63. KISARAWE 24
0.3%
64 64. MKURANGA 24
0.3%
65 65. RUFIJI 60
0.7%
66 66. MAFIA 8
0.1%
67 67. KIBAHA URBAN 20
0.2%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 360
4.3%
72 72. ILALA 256
3%
73 73. TEMEKE 252
3%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 36
0.4%
82 82. LINDI RURAL 28
0.3%
83 83. NACHINGWEA 24
0.3%
84 84. LIWALE 8
0.1%
85 85. RUANGWA 8
0.1%
86 86. LINDI URBAN 16
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 32
0.4%
92 92. NEWALA 8
0.1%
93 93. MASASI RURAL 36
0.4%
94 94. TANDAHIMBA 60
0.7%
95 95. MTWARA MIKINDANI 44
0.5%
96 96. NANYUMBU 12
0.1%
97 97. MASASI URBAN 40
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 36
0.4%
102 102. SONGEA RURAL 32
0.4%
103 103. MBINGA 88
1%
104 104. SONGEA URBAN 44
0.5%
105 105. NAMTUMBO 48
0.6%
106 106. NYASA 12
0.1%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 56
0.7%
112 112. MUFINDI 152
1.8%
113 113. IRINGA URBAN 56
0.7%
114 114. KILOLO 48
0.6%
115 115. MAFINGA TOWN 24
0.3%
121 121. CHUNYA 28
0.3%
122 122. MBEYA RURAL 76
0.9%
123 123. KYELA 8
0.1%
124 124. RUNGWE 64
0.8%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 56
0.7%
128 128. MBEYA URBAN 44
0.5%
129 129. BUSOKELO 4
0%
131 131. IRAMBA 20
0.2%
132 132. SINGIDA RURAL 28
0.3%
133 133. MANYONI 60
0.7%
134 134. SINGIDA URBAN 56
0.7%
135 135. IKUNGI 20
0.2%
136 136. MKALAMA 28
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 84
1%
142 142. IGUNGA 32
0.4%
143 143. UYUI 40
0.5%
144 144. URAMBO 40
0.5%
145 145. SIKONGE 8
0.1%
146 146. TABORA URBAN 36
0.4%
147 147. KALIUA 12
0.1%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 16
0.2%
152 152. SUMBAWANGA RURAL 16
0.2%
153 153. NKASI 20
0.2%
154 154. SUMBAWANGA URBAN 36
0.4%
161 161. KIBONDO 24
0.3%
162 162. KASULU RURAL 24
0.3%
163 163. KIGOMA RURAL 40
0.5%
164 164. KIGOMA UJIJI URBAN 56
0.7%
165 165. UVINZA 40
0.5%
166 166. BUHIGWE 44
0.5%
167 167. KAKONKO 28
0.3%
168 168. KASULU TOWN 16
0.2%
171 171. SHINYANGA URBAN 12
0.1%
172 172. KISHAPU 36
0.4%
173 173. SHINYANGA RURAL 56
0.7%
174 174. KAHAMA RURAL 84
1%
175 175. KAHAMA TOWN 52
0.6%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 32
0.4%
182 182. BUKOBA RURAL 12
0.1%
183 183. MULEBA 56
0.7%
184 184. BIHARAMULO 8
0.1%
185 185. NGARA 8
0.1%
186 186. BUKOBA URBAN 44
0.5%
187 187. MISSENYI 28
0.3%
188 188. KYERWA 28
0.3%
191 191. UKEREWE 68
0.8%
192 192. MAGU 36
0.4%
193 193. MWANZA URBAN 52
0.6%
194 194. KWIMBA 36
0.4%
195 195. SENGEREMA 68
0.8%
196 196. ILEMELA 64
0.8%
197 197. MISUNGWI 24
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 56
0.7%
202 202. SERENGETI 24
0.3%
203 203. MUSOMA RURAL 20
0.2%
204 204. BUNDA 48
0.6%
205 205. MUSOMA URBAN 44
0.5%
206 206. RORYA 28
0.3%
207 207. BUTIAMA 68
0.8%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 64
0.8%
212 212. HANANG 64
0.8%
213 213. MBULU 52
0.6%
214 214. SIMANJIRO 44
0.5%
215 215. KITETO 36
0.4%
216 216. BABATI TOWN 44
0.5%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 28
0.3%
222 222. WANGING'OMBE 48
0.6%
223 223. MAKETE 32
0.4%
224 224. NJOMBE RURAL 32
0.4%
225 225. LUDEWA 44
0.5%
226 226. MAKAMBAKO TOWN 84
1%
231 231. MPANDA URBAN 60
0.7%
232 232. MPANDA RURAL 36
0.4%
233 233. MLELE 80
1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 60
0.7%
242 242. ITILIMA 24
0.3%
243 243. MEATU 48
0.6%
244 244. MASWA 40
0.5%
245 245. BUSEGA 28
0.3%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 128
1.5%
252 252. NYANG'HWALE 28
0.3%
253 253. MBOGWE 20
0.2%
254 254. BUKOMBE 40
0.5%
255 255. CHATO 52
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’ 244
2.9%
512 512. KASKAZINI ‘B’ 156
1.9%
521 521. KATI 24
0.3%
522 522. KUSINI 20
0.2%
531 531. MAGHARIBI 160
1.9%
532 532. MJINI 48
0.6%
541 541. WETE 304
3.6%
542 542. MICHEWENI 140
1.7%
551 551. CHAKECHAKE 140
1.7%
552 552. MKOANI 60
0.7%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 16
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.