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    Home / Central Data Catalog / LSMS / TZA_2021-2024_HFWMPS_V09_M / variable [F82]
lsms

High Frequency Welfare Monitoring Phone Survey 2021-2024

Tanzania, 2021 - 2024
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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
187565
Downloads
4802
  • 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: r12_sect_5.dta

Overview

Valid: 14896
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 56
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
1.7%
16 16. BAHI 32
0.2%
17 17. CHEMBA 64
0.4%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 32
0.2%
22 22. MERU 128
0.9%
23 23. ARUSHA URBAN 128
0.9%
24 24. KARATU 56
0.4%
25 25. NGORONGORO 16
0.1%
26 26. ARUSHA RURAL 104
0.7%
27 27. LONGIDO 32
0.2%
31 31. ROMBO 104
0.7%
32 32. MWANGA 56
0.4%
33 33. SAME 88
0.6%
34 34. MOSHI RURAL 224
1.5%
35 35. HAI 64
0.4%
36 36. MOSHI URBAN 80
0.5%
37 37. SIHA 40
0.3%
41 41. LUSHOTO 128
0.9%
42 42. KOROGWE RURAL 104
0.7%
43 43. MUHEZA 96
0.6%
44 44. TANGA URBAN 88
0.6%
45 45. PANGANI 24
0.2%
46 46. HANDENI 48
0.3%
47 47. KILINDI 56
0.4%
48 48. MKINGA 16
0.1%
49 49. KOROGWE URBAN 8
0.1%
51 51. KILOSA 64
0.4%
52 52. MOROGORO RURAL 40
0.3%
53 53. KILOMBERO 160
1.1%
54 54. ULANGA 64
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 176
1.2%
62 62. KIBAHA RURAL 40
0.3%
63 63. KISARAWE 48
0.3%
64 64. MKURANGA 48
0.3%
65 65. RUFIJI 112
0.8%
66 66. MAFIA 8
0.1%
67 67. KIBAHA URBAN 32
0.2%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 640
4.3%
72 72. ILALA 432
2.9%
73 73. TEMEKE 384
2.6%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 72
0.5%
82 82. LINDI RURAL 72
0.5%
83 83. NACHINGWEA 56
0.4%
84 84. LIWALE 0
0%
85 85. RUANGWA 16
0.1%
86 86. LINDI URBAN 24
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 96
0.6%
95 95. MTWARA MIKINDANI 88
0.6%
96 96. NANYUMBU 24
0.2%
97 97. MASASI URBAN 80
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 72
0.5%
102 102. SONGEA RURAL 64
0.4%
103 103. MBINGA 160
1.1%
104 104. SONGEA URBAN 64
0.4%
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
1.7%
113 113. IRINGA URBAN 72
0.5%
114 114. KILOLO 64
0.4%
115 115. MAFINGA TOWN 32
0.2%
121 121. CHUNYA 48
0.3%
122 122. MBEYA RURAL 120
0.8%
123 123. KYELA 0
0%
124 124. RUNGWE 120
0.8%
125 125. ILEJE (OLD) 0
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 112
0.8%
128 128. MBEYA URBAN 64
0.4%
129 129. BUSOKELO 0
0%
131 131. IRAMBA 40
0.3%
132 132. SINGIDA RURAL 48
0.3%
133 133. MANYONI 112
0.8%
134 134. SINGIDA URBAN 104
0.7%
135 135. IKUNGI 24
0.2%
136 136. MKALAMA 48
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 152
1%
142 142. IGUNGA 64
0.4%
143 143. UYUI 64
0.4%
144 144. URAMBO 72
0.5%
145 145. SIKONGE 16
0.1%
146 146. TABORA URBAN 72
0.5%
147 147. KALIUA 32
0.2%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 24
0.2%
152 152. SUMBAWANGA RURAL 24
0.2%
153 153. NKASI 24
0.2%
154 154. SUMBAWANGA URBAN 80
0.5%
161 161. KIBONDO 40
0.3%
162 162. KASULU RURAL 24
0.2%
163 163. KIGOMA RURAL 56
0.4%
164 164. KIGOMA UJIJI URBAN 80
0.5%
165 165. UVINZA 56
0.4%
166 166. BUHIGWE 72
0.5%
167 167. KAKONKO 56
0.4%
168 168. KASULU TOWN 16
0.1%
171 171. SHINYANGA URBAN 24
0.2%
172 172. KISHAPU 64
0.4%
173 173. SHINYANGA RURAL 104
0.7%
174 174. KAHAMA RURAL 168
1.1%
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 96
0.6%
184 184. BIHARAMULO 8
0.1%
185 185. NGARA 16
0.1%
186 186. BUKOBA URBAN 56
0.4%
187 187. MISSENYI 48
0.3%
188 188. KYERWA 56
0.4%
191 191. UKEREWE 120
0.8%
192 192. MAGU 72
0.5%
193 193. MWANZA URBAN 72
0.5%
194 194. KWIMBA 80
0.5%
195 195. SENGEREMA 120
0.8%
196 196. ILEMELA 128
0.9%
197 197. MISUNGWI 48
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 104
0.7%
202 202. SERENGETI 40
0.3%
203 203. MUSOMA RURAL 40
0.3%
204 204. BUNDA 96
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 112
0.8%
212 212. HANANG 128
0.9%
213 213. MBULU 120
0.8%
214 214. SIMANJIRO 72
0.5%
215 215. KITETO 64
0.4%
216 216. BABATI TOWN 88
0.6%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 72
0.5%
222 222. WANGING'OMBE 88
0.6%
223 223. MAKETE 56
0.4%
224 224. NJOMBE RURAL 48
0.3%
225 225. LUDEWA 72
0.5%
226 226. MAKAMBAKO TOWN 160
1.1%
231 231. MPANDA URBAN 120
0.8%
232 232. MPANDA RURAL 64
0.4%
233 233. MLELE 152
1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 104
0.7%
242 242. ITILIMA 48
0.3%
243 243. MEATU 96
0.6%
244 244. MASWA 64
0.4%
245 245. BUSEGA 64
0.4%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 232
1.6%
252 252. NYANG'HWALE 56
0.4%
253 253. MBOGWE 40
0.3%
254 254. BUKOMBE 64
0.4%
255 255. CHATO 80
0.5%
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’ 448
3%
512 512. KASKAZINI ‘B’ 272
1.8%
521 521. KATI 48
0.3%
522 522. KUSINI 32
0.2%
531 531. MAGHARIBI 264
1.8%
532 532. MJINI 72
0.5%
541 541. WETE 560
3.8%
542 542. MICHEWENI 272
1.8%
551 551. CHAKECHAKE 288
1.9%
552 552. MKOANI 120
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.
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