The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • Collections
  • Citations
  • Terms of use
  • About
  • Login
    Login
    Home / Central Data Catalog / LSMS / TZA_2021-2024_HFWMPS_V09_M / variable [F71]
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
135507
Downloads
3638
  • 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_5.dta

Overview

Valid: 15320
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 64
0.4%
12 12. MPWAPWA 80
0.5%
13 13. KONGWA 80
0.5%
14 14. CHAMWINO 72
0.5%
15 15. DODOMA URBAN 248
1.6%
16 16. BAHI 40
0.3%
17 17. CHEMBA 64
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 48
0.3%
22 22. MERU 128
0.8%
23 23. ARUSHA URBAN 120
0.8%
24 24. KARATU 56
0.4%
25 25. NGORONGORO 16
0.1%
26 26. ARUSHA RURAL 104
0.7%
27 27. LONGIDO 24
0.2%
31 31. ROMBO 112
0.7%
32 32. MWANGA 56
0.4%
33 33. SAME 96
0.6%
34 34. MOSHI RURAL 232
1.5%
35 35. HAI 48
0.3%
36 36. MOSHI URBAN 72
0.5%
37 37. SIHA 24
0.2%
41 41. LUSHOTO 136
0.9%
42 42. KOROGWE RURAL 88
0.6%
43 43. MUHEZA 88
0.6%
44 44. TANGA URBAN 64
0.4%
45 45. PANGANI 32
0.2%
46 46. HANDENI 40
0.3%
47 47. KILINDI 56
0.4%
48 48. MKINGA 24
0.2%
49 49. KOROGWE URBAN 8
0.1%
51 51. KILOSA 64
0.4%
52 52. MOROGORO RURAL 32
0.2%
53 53. KILOMBERO 152
1%
54 54. ULANGA 56
0.4%
55 55. MOROGORO URBAN 120
0.8%
56 56. MVOMERO 88
0.6%
57 57. GAIRO 40
0.3%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 160
1%
62 62. KIBAHA RURAL 40
0.3%
63 63. KISARAWE 48
0.3%
64 64. MKURANGA 48
0.3%
65 65. RUFIJI 112
0.7%
66 66. MAFIA 8
0.1%
67 67. KIBAHA URBAN 40
0.3%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 664
4.3%
72 72. ILALA 472
3.1%
73 73. TEMEKE 424
2.8%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 80
0.5%
82 82. LINDI RURAL 64
0.4%
83 83. NACHINGWEA 48
0.3%
84 84. LIWALE 8
0.1%
85 85. RUANGWA 24
0.2%
86 86. LINDI URBAN 32
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 40
0.3%
92 92. NEWALA 32
0.2%
93 93. MASASI RURAL 56
0.4%
94 94. TANDAHIMBA 104
0.7%
95 95. MTWARA MIKINDANI 88
0.6%
96 96. NANYUMBU 32
0.2%
97 97. MASASI URBAN 80
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 64
0.4%
102 102. SONGEA RURAL 64
0.4%
103 103. MBINGA 168
1.1%
104 104. SONGEA URBAN 72
0.5%
105 105. NAMTUMBO 80
0.5%
106 106. NYASA 16
0.1%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 80
0.5%
112 112. MUFINDI 248
1.6%
113 113. IRINGA URBAN 80
0.5%
114 114. KILOLO 72
0.5%
115 115. MAFINGA TOWN 32
0.2%
121 121. CHUNYA 64
0.4%
122 122. MBEYA RURAL 120
0.8%
123 123. KYELA 0
0%
124 124. RUNGWE 136
0.9%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 104
0.7%
128 128. MBEYA URBAN 88
0.6%
129 129. BUSOKELO 0
0%
131 131. IRAMBA 32
0.2%
132 132. SINGIDA RURAL 56
0.4%
133 133. MANYONI 112
0.7%
134 134. SINGIDA URBAN 96
0.6%
135 135. IKUNGI 32
0.2%
136 136. MKALAMA 32
0.2%
137 137. ITIGI 0
0%
141 141. NZEGA 144
0.9%
142 142. IGUNGA 64
0.4%
143 143. UYUI 72
0.5%
144 144. URAMBO 80
0.5%
145 145. SIKONGE 16
0.1%
146 146. TABORA URBAN 80
0.5%
147 147. KALIUA 8
0.1%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 48
0.3%
152 152. SUMBAWANGA RURAL 24
0.2%
153 153. NKASI 24
0.2%
154 154. SUMBAWANGA URBAN 80
0.5%
161 161. KIBONDO 48
0.3%
162 162. KASULU RURAL 40
0.3%
163 163. KIGOMA RURAL 64
0.4%
164 164. KIGOMA UJIJI URBAN 96
0.6%
165 165. UVINZA 48
0.3%
166 166. BUHIGWE 80
0.5%
167 167. KAKONKO 64
0.4%
168 168. KASULU TOWN 16
0.1%
171 171. SHINYANGA URBAN 24
0.2%
172 172. KISHAPU 72
0.5%
173 173. SHINYANGA RURAL 112
0.7%
174 174. KAHAMA RURAL 160
1%
175 175. KAHAMA TOWN 88
0.6%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 56
0.4%
182 182. BUKOBA RURAL 32
0.2%
183 183. MULEBA 104
0.7%
184 184. BIHARAMULO 8
0.1%
185 185. NGARA 16
0.1%
186 186. BUKOBA URBAN 80
0.5%
187 187. MISSENYI 56
0.4%
188 188. KYERWA 64
0.4%
191 191. UKEREWE 128
0.8%
192 192. MAGU 72
0.5%
193 193. MWANZA URBAN 88
0.6%
194 194. KWIMBA 80
0.5%
195 195. SENGEREMA 136
0.9%
196 196. ILEMELA 120
0.8%
197 197. MISUNGWI 48
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 104
0.7%
202 202. SERENGETI 32
0.2%
203 203. MUSOMA RURAL 40
0.3%
204 204. BUNDA 88
0.6%
205 205. MUSOMA URBAN 64
0.4%
206 206. RORYA 48
0.3%
207 207. BUTIAMA 88
0.6%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 120
0.8%
212 212. HANANG 136
0.9%
213 213. MBULU 120
0.8%
214 214. SIMANJIRO 64
0.4%
215 215. KITETO 64
0.4%
216 216. BABATI TOWN 104
0.7%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 56
0.4%
222 222. WANGING'OMBE 96
0.6%
223 223. MAKETE 56
0.4%
224 224. NJOMBE RURAL 56
0.4%
225 225. LUDEWA 80
0.5%
226 226. MAKAMBAKO TOWN 168
1.1%
231 231. MPANDA URBAN 120
0.8%
232 232. MPANDA RURAL 56
0.4%
233 233. MLELE 152
1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 136
0.9%
242 242. ITILIMA 56
0.4%
243 243. MEATU 88
0.6%
244 244. MASWA 64
0.4%
245 245. BUSEGA 64
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 256
1.7%
252 252. NYANG'HWALE 56
0.4%
253 253. MBOGWE 40
0.3%
254 254. BUKOMBE 56
0.4%
255 255. CHATO 88
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’ 456
3%
512 512. KASKAZINI ‘B’ 272
1.8%
521 521. KATI 48
0.3%
522 522. KUSINI 32
0.2%
531 531. MAGHARIBI 296
1.9%
532 532. MJINI 80
0.5%
541 541. WETE 560
3.7%
542 542. MICHEWENI 280
1.8%
551 551. CHAKECHAKE 288
1.9%
552 552. MKOANI 128
0.8%
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.