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 [F63]
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
126219
Downloads
3493
  • 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: r10_sect_8.dta

Overview

Valid: 9690
Invalid: 20
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 35
0.4%
12 12. MPWAPWA 55
0.6%
13 13. KONGWA 55
0.6%
14 14. CHAMWINO 50
0.5%
15 15. DODOMA URBAN 170
1.8%
16 16. BAHI 25
0.3%
17 17. CHEMBA 40
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 30
0.3%
22 22. MERU 100
1%
23 23. ARUSHA URBAN 70
0.7%
24 24. KARATU 40
0.4%
25 25. NGORONGORO 15
0.2%
26 26. ARUSHA RURAL 65
0.7%
27 27. LONGIDO 15
0.2%
31 31. ROMBO 70
0.7%
32 32. MWANGA 35
0.4%
33 33. SAME 60
0.6%
34 34. MOSHI RURAL 135
1.4%
35 35. HAI 35
0.4%
36 36. MOSHI URBAN 40
0.4%
37 37. SIHA 20
0.2%
41 41. LUSHOTO 80
0.8%
42 42. KOROGWE RURAL 60
0.6%
43 43. MUHEZA 50
0.5%
44 44. TANGA URBAN 55
0.6%
45 45. PANGANI 20
0.2%
46 46. HANDENI 25
0.3%
47 47. KILINDI 30
0.3%
48 48. MKINGA 15
0.2%
49 49. KOROGWE URBAN 5
0.1%
51 51. KILOSA 40
0.4%
52 52. MOROGORO RURAL 25
0.3%
53 53. KILOMBERO 105
1.1%
54 54. ULANGA 50
0.5%
55 55. MOROGORO URBAN 75
0.8%
56 56. MVOMERO 55
0.6%
57 57. GAIRO 20
0.2%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 105
1.1%
62 62. KIBAHA RURAL 25
0.3%
63 63. KISARAWE 30
0.3%
64 64. MKURANGA 30
0.3%
65 65. RUFIJI 75
0.8%
66 66. MAFIA 10
0.1%
67 67. KIBAHA URBAN 25
0.3%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 385
4%
72 72. ILALA 290
3%
73 73. TEMEKE 235
2.4%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 50
0.5%
82 82. LINDI RURAL 35
0.4%
83 83. NACHINGWEA 35
0.4%
84 84. LIWALE 5
0.1%
85 85. RUANGWA 15
0.2%
86 86. LINDI URBAN 20
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 25
0.3%
92 92. NEWALA 20
0.2%
93 93. MASASI RURAL 35
0.4%
94 94. TANDAHIMBA 70
0.7%
95 95. MTWARA MIKINDANI 55
0.6%
96 96. NANYUMBU 20
0.2%
97 97. MASASI URBAN 40
0.4%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 45
0.5%
102 102. SONGEA RURAL 35
0.4%
103 103. MBINGA 100
1%
104 104. SONGEA URBAN 50
0.5%
105 105. NAMTUMBO 50
0.5%
106 106. NYASA 15
0.2%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 55
0.6%
112 112. MUFINDI 160
1.7%
113 113. IRINGA URBAN 50
0.5%
114 114. KILOLO 45
0.5%
115 115. MAFINGA TOWN 25
0.3%
121 121. CHUNYA 40
0.4%
122 122. MBEYA RURAL 75
0.8%
123 123. KYELA 0
0%
124 124. RUNGWE 95
1%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 60
0.6%
128 128. MBEYA URBAN 55
0.6%
129 129. BUSOKELO 0
0%
131 131. IRAMBA 25
0.3%
132 132. SINGIDA RURAL 35
0.4%
133 133. MANYONI 75
0.8%
134 134. SINGIDA URBAN 65
0.7%
135 135. IKUNGI 20
0.2%
136 136. MKALAMA 30
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 105
1.1%
142 142. IGUNGA 40
0.4%
143 143. UYUI 50
0.5%
144 144. URAMBO 50
0.5%
145 145. SIKONGE 10
0.1%
146 146. TABORA URBAN 55
0.6%
147 147. KALIUA 20
0.2%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 20
0.2%
152 152. SUMBAWANGA RURAL 15
0.2%
153 153. NKASI 15
0.2%
154 154. SUMBAWANGA URBAN 50
0.5%
161 161. KIBONDO 25
0.3%
162 162. KASULU RURAL 25
0.3%
163 163. KIGOMA RURAL 50
0.5%
164 164. KIGOMA UJIJI URBAN 70
0.7%
165 165. UVINZA 40
0.4%
166 166. BUHIGWE 55
0.6%
167 167. KAKONKO 35
0.4%
168 168. KASULU TOWN 20
0.2%
171 171. SHINYANGA URBAN 15
0.2%
172 172. KISHAPU 40
0.4%
173 173. SHINYANGA RURAL 65
0.7%
174 174. KAHAMA RURAL 90
0.9%
175 175. KAHAMA TOWN 50
0.5%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 30
0.3%
182 182. BUKOBA RURAL 20
0.2%
183 183. MULEBA 60
0.6%
184 184. BIHARAMULO 10
0.1%
185 185. NGARA 10
0.1%
186 186. BUKOBA URBAN 55
0.6%
187 187. MISSENYI 35
0.4%
188 188. KYERWA 40
0.4%
191 191. UKEREWE 80
0.8%
192 192. MAGU 45
0.5%
193 193. MWANZA URBAN 60
0.6%
194 194. KWIMBA 40
0.4%
195 195. SENGEREMA 85
0.9%
196 196. ILEMELA 80
0.8%
197 197. MISUNGWI 30
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 65
0.7%
202 202. SERENGETI 20
0.2%
203 203. MUSOMA RURAL 25
0.3%
204 204. BUNDA 60
0.6%
205 205. MUSOMA URBAN 50
0.5%
206 206. RORYA 30
0.3%
207 207. BUTIAMA 70
0.7%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 70
0.7%
212 212. HANANG 75
0.8%
213 213. MBULU 80
0.8%
214 214. SIMANJIRO 50
0.5%
215 215. KITETO 40
0.4%
216 216. BABATI TOWN 50
0.5%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 40
0.4%
222 222. WANGING'OMBE 55
0.6%
223 223. MAKETE 40
0.4%
224 224. NJOMBE RURAL 35
0.4%
225 225. LUDEWA 55
0.6%
226 226. MAKAMBAKO TOWN 110
1.1%
231 231. MPANDA URBAN 75
0.8%
232 232. MPANDA RURAL 35
0.4%
233 233. MLELE 85
0.9%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 85
0.9%
242 242. ITILIMA 40
0.4%
243 243. MEATU 60
0.6%
244 244. MASWA 40
0.4%
245 245. BUSEGA 35
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 155
1.6%
252 252. NYANG'HWALE 35
0.4%
253 253. MBOGWE 25
0.3%
254 254. BUKOMBE 35
0.4%
255 255. CHATO 55
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’ 275
2.8%
512 512. KASKAZINI ‘B’ 170
1.8%
521 521. KATI 30
0.3%
522 522. KUSINI 20
0.2%
531 531. MAGHARIBI 180
1.9%
532 532. MJINI 50
0.5%
541 541. WETE 360
3.7%
542 542. MICHEWENI 175
1.8%
551 551. CHAKECHAKE 170
1.8%
552 552. MKOANI 80
0.8%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 20
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.