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 [F52]
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
126570
Downloads
3516
  • 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: r9_sect_7.dta

Overview

Valid: 7960
Invalid: 12
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 40
0.5%
13 13. KONGWA 40
0.5%
14 14. CHAMWINO 40
0.5%
15 15. DODOMA URBAN 140
1.8%
16 16. BAHI 20
0.3%
17 17. CHEMBA 32
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 28
0.4%
22 22. MERU 80
1%
23 23. ARUSHA URBAN 60
0.8%
24 24. KARATU 36
0.5%
25 25. NGORONGORO 16
0.2%
26 26. ARUSHA RURAL 52
0.7%
27 27. LONGIDO 8
0.1%
31 31. ROMBO 52
0.7%
32 32. MWANGA 20
0.3%
33 33. SAME 48
0.6%
34 34. MOSHI RURAL 116
1.5%
35 35. HAI 36
0.5%
36 36. MOSHI URBAN 36
0.5%
37 37. SIHA 16
0.2%
41 41. LUSHOTO 68
0.9%
42 42. KOROGWE RURAL 44
0.6%
43 43. MUHEZA 44
0.6%
44 44. TANGA URBAN 40
0.5%
45 45. PANGANI 20
0.3%
46 46. HANDENI 20
0.3%
47 47. KILINDI 24
0.3%
48 48. MKINGA 4
0.1%
49 49. KOROGWE URBAN 4
0.1%
51 51. KILOSA 32
0.4%
52 52. MOROGORO RURAL 24
0.3%
53 53. KILOMBERO 80
1%
54 54. ULANGA 40
0.5%
55 55. MOROGORO URBAN 64
0.8%
56 56. MVOMERO 44
0.6%
57 57. GAIRO 20
0.3%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 88
1.1%
62 62. KIBAHA RURAL 20
0.3%
63 63. KISARAWE 24
0.3%
64 64. MKURANGA 24
0.3%
65 65. RUFIJI 56
0.7%
66 66. MAFIA 8
0.1%
67 67. KIBAHA URBAN 16
0.2%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 344
4.3%
72 72. ILALA 236
3%
73 73. TEMEKE 200
2.5%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 44
0.6%
82 82. LINDI RURAL 32
0.4%
83 83. NACHINGWEA 28
0.4%
84 84. LIWALE 0
0%
85 85. RUANGWA 12
0.2%
86 86. LINDI URBAN 16
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 32
0.4%
92 92. NEWALA 16
0.2%
93 93. MASASI RURAL 32
0.4%
94 94. TANDAHIMBA 56
0.7%
95 95. MTWARA MIKINDANI 44
0.6%
96 96. NANYUMBU 12
0.2%
97 97. MASASI URBAN 40
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 28
0.4%
102 102. SONGEA RURAL 32
0.4%
103 103. MBINGA 80
1%
104 104. SONGEA URBAN 36
0.5%
105 105. NAMTUMBO 44
0.6%
106 106. NYASA 12
0.2%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 40
0.5%
112 112. MUFINDI 148
1.9%
113 113. IRINGA URBAN 40
0.5%
114 114. KILOLO 36
0.5%
115 115. MAFINGA TOWN 24
0.3%
121 121. CHUNYA 36
0.5%
122 122. MBEYA RURAL 80
1%
123 123. KYELA 8
0.1%
124 124. RUNGWE 84
1.1%
125 125. ILEJE (OLD) 4
0.1%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 76
1%
128 128. MBEYA URBAN 44
0.6%
129 129. BUSOKELO 0
0%
131 131. IRAMBA 20
0.3%
132 132. SINGIDA RURAL 28
0.4%
133 133. MANYONI 68
0.9%
134 134. SINGIDA URBAN 56
0.7%
135 135. IKUNGI 16
0.2%
136 136. MKALAMA 24
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 80
1%
142 142. IGUNGA 32
0.4%
143 143. UYUI 40
0.5%
144 144. URAMBO 36
0.5%
145 145. SIKONGE 8
0.1%
146 146. TABORA URBAN 36
0.5%
147 147. KALIUA 16
0.2%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 16
0.2%
152 152. SUMBAWANGA RURAL 12
0.2%
153 153. NKASI 24
0.3%
154 154. SUMBAWANGA URBAN 36
0.5%
161 161. KIBONDO 20
0.3%
162 162. KASULU RURAL 16
0.2%
163 163. KIGOMA RURAL 36
0.5%
164 164. KIGOMA UJIJI URBAN 56
0.7%
165 165. UVINZA 36
0.5%
166 166. BUHIGWE 40
0.5%
167 167. KAKONKO 32
0.4%
168 168. KASULU TOWN 12
0.2%
171 171. SHINYANGA URBAN 8
0.1%
172 172. KISHAPU 32
0.4%
173 173. SHINYANGA RURAL 52
0.7%
174 174. KAHAMA RURAL 88
1.1%
175 175. KAHAMA TOWN 40
0.5%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 28
0.4%
182 182. BUKOBA RURAL 16
0.2%
183 183. MULEBA 52
0.7%
184 184. BIHARAMULO 8
0.1%
185 185. NGARA 8
0.1%
186 186. BUKOBA URBAN 44
0.6%
187 187. MISSENYI 16
0.2%
188 188. KYERWA 32
0.4%
191 191. UKEREWE 68
0.9%
192 192. MAGU 36
0.5%
193 193. MWANZA URBAN 40
0.5%
194 194. KWIMBA 40
0.5%
195 195. SENGEREMA 68
0.9%
196 196. ILEMELA 60
0.8%
197 197. MISUNGWI 24
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 52
0.7%
202 202. SERENGETI 20
0.3%
203 203. MUSOMA RURAL 20
0.3%
204 204. BUNDA 48
0.6%
205 205. MUSOMA URBAN 40
0.5%
206 206. RORYA 20
0.3%
207 207. BUTIAMA 64
0.8%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 52
0.7%
212 212. HANANG 68
0.9%
213 213. MBULU 60
0.8%
214 214. SIMANJIRO 40
0.5%
215 215. KITETO 32
0.4%
216 216. BABATI TOWN 48
0.6%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 28
0.4%
222 222. WANGING'OMBE 40
0.5%
223 223. MAKETE 28
0.4%
224 224. NJOMBE RURAL 24
0.3%
225 225. LUDEWA 32
0.4%
226 226. MAKAMBAKO TOWN 80
1%
231 231. MPANDA URBAN 56
0.7%
232 232. MPANDA RURAL 28
0.4%
233 233. MLELE 88
1.1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 64
0.8%
242 242. ITILIMA 28
0.4%
243 243. MEATU 48
0.6%
244 244. MASWA 36
0.5%
245 245. BUSEGA 28
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 112
1.4%
252 252. NYANG'HWALE 28
0.4%
253 253. MBOGWE 16
0.2%
254 254. BUKOMBE 24
0.3%
255 255. CHATO 44
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’ 216
2.7%
512 512. KASKAZINI ‘B’ 144
1.8%
521 521. KATI 20
0.3%
522 522. KUSINI 16
0.2%
531 531. MAGHARIBI 164
2.1%
532 532. MJINI 48
0.6%
541 541. WETE 292
3.7%
542 542. MICHEWENI 144
1.8%
551 551. CHAKECHAKE 148
1.9%
552 552. MKOANI 64
0.8%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 12
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.