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    Home / Central Data Catalog / LSMS / TZA_2021-2024_HFWMPS_V09_M / variable [F6]
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
167671
Downloads
4597
  • 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: r2_sect_1b.dta

Overview

Valid: 2874
Invalid: 8
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 9
0.3%
12 12. MPWAPWA 12
0.4%
13 13. KONGWA 12
0.4%
14 14. CHAMWINO 11
0.4%
15 15. DODOMA URBAN 41
1.4%
16 16. BAHI 5
0.2%
17 17. CHEMBA 8
0.3%
18 18. KONGWA TOWNSHIP 0
0%
19 19. KONDOA URBAN 0
0%
21 21. MONDULI 10
0.3%
22 22. MERU 29
1%
23 23. ARUSHA URBAN 25
0.9%
24 24. KARATU 11
0.4%
25 25. NGORONGORO 5
0.2%
26 26. ARUSHA RURAL 24
0.8%
27 27. LONGIDO 4
0.1%
31 31. ROMBO 19
0.7%
32 32. MWANGA 9
0.3%
33 33. SAME 14
0.5%
34 34. MOSHI RURAL 41
1.4%
35 35. HAI 16
0.6%
36 36. MOSHI URBAN 17
0.6%
37 37. SIHA 8
0.3%
41 41. LUSHOTO 24
0.8%
42 42. KOROGWE RURAL 14
0.5%
43 43. MUHEZA 16
0.6%
44 44. TANGA URBAN 16
0.6%
45 45. PANGANI 10
0.3%
46 46. HANDENI 9
0.3%
47 47. KILINDI 7
0.2%
48 48. MKINGA 3
0.1%
49 49. KOROGWE URBAN 2
0.1%
51 51. KILOSA 14
0.5%
52 52. MOROGORO RURAL 7
0.2%
53 53. KILOMBERO 29
1%
54 54. ULANGA 14
0.5%
55 55. MOROGORO URBAN 25
0.9%
56 56. MVOMERO 15
0.5%
57 57. GAIRO 7
0.2%
58 58. MALINYI 0
0%
59 59. IFAKARA URBAN 0
0%
61 61. BAGAMOYO 30
1%
62 62. KIBAHA RURAL 6
0.2%
63 63. KISARAWE 9
0.3%
64 64. MKURANGA 8
0.3%
65 65. RUFIJI 19
0.7%
66 66. MAFIA 4
0.1%
67 67. KIBAHA URBAN 6
0.2%
68 68. CHALINZE 0
0%
69 69. KIBITI 0
0%
71 71. KINONDONI 124
4.3%
72 72. ILALA 88
3.1%
73 73. TEMEKE 78
2.7%
74 74. UBUNGO 0
0%
75 75. KIGAMBONI 0
0%
81 81. KILWA 15
0.5%
82 82. LINDI RURAL 15
0.5%
83 83. NACHINGWEA 11
0.4%
84 84. LIWALE 2
0.1%
85 85. RUANGWA 4
0.1%
86 86. LINDI URBAN 5
0.2%
87 87. KILWA KIVINJE TOWNSHIP 0
0%
91 91. MTWARA RURAL 10
0.3%
92 92. NEWALA 4
0.1%
93 93. MASASI RURAL 15
0.5%
94 94. TANDAHIMBA 20
0.7%
95 95. MTWARA MIKINDANI 13
0.5%
96 96. NANYUMBU 5
0.2%
97 97. MASASI URBAN 14
0.5%
98 98. NEWALA TOWN 0
0%
99 99. NANYAMBA TOWN 0
0%
101 101. TUNDURU 11
0.4%
102 102. SONGEA RURAL 9
0.3%
103 103. MBINGA 22
0.8%
104 104. SONGEA URBAN 15
0.5%
105 105. NAMTUMBO 12
0.4%
106 106. NYASA 4
0.1%
107 107. MBINGA TOWN 0
0%
108 108. MADABA 0
0%
111 111. IRINGA RURAL 16
0.6%
112 112. MUFINDI 50
1.7%
113 113. IRINGA URBAN 23
0.8%
114 114. KILOLO 14
0.5%
115 115. MAFINGA TOWN 12
0.4%
121 121. CHUNYA 13
0.5%
122 122. MBEYA RURAL 29
1%
123 123. KYELA 6
0.2%
124 124. RUNGWE 30
1%
125 125. ILEJE (OLD) 1
0%
126 126. MBOZI (OLD) 0
0%
127 127. MBALALI 30
1%
128 128. MBEYA URBAN 13
0.5%
129 129. BUSOKELO 3
0.1%
131 131. IRAMBA 7
0.2%
132 132. SINGIDA RURAL 10
0.3%
133 133. MANYONI 19
0.7%
134 134. SINGIDA URBAN 17
0.6%
135 135. IKUNGI 6
0.2%
136 136. MKALAMA 8
0.3%
137 137. ITIGI 0
0%
141 141. NZEGA 29
1%
142 142. IGUNGA 9
0.3%
143 143. UYUI 12
0.4%
144 144. URAMBO 11
0.4%
145 145. SIKONGE 5
0.2%
146 146. TABORA URBAN 12
0.4%
147 147. KALIUA 4
0.1%
148 148. NZEGA TOWN 0
0%
151 151. KALAMBO 8
0.3%
152 152. SUMBAWANGA RURAL 8
0.3%
153 153. NKASI 10
0.3%
154 154. SUMBAWANGA URBAN 14
0.5%
161 161. KIBONDO 8
0.3%
162 162. KASULU RURAL 10
0.3%
163 163. KIGOMA RURAL 14
0.5%
164 164. KIGOMA UJIJI URBAN 16
0.6%
165 165. UVINZA 17
0.6%
166 166. BUHIGWE 14
0.5%
167 167. KAKONKO 10
0.3%
168 168. KASULU TOWN 11
0.4%
171 171. SHINYANGA URBAN 6
0.2%
172 172. KISHAPU 17
0.6%
173 173. SHINYANGA RURAL 21
0.7%
174 174. KAHAMA RURAL 36
1.3%
175 175. KAHAMA TOWN 21
0.7%
176 176. USHETU 0
0%
177 177. MSALALA 0
0%
181 181. KARAGWE 14
0.5%
182 182. BUKOBA RURAL 6
0.2%
183 183. MULEBA 22
0.8%
184 184. BIHARAMULO 2
0.1%
185 185. NGARA 3
0.1%
186 186. BUKOBA URBAN 13
0.5%
187 187. MISSENYI 10
0.3%
188 188. KYERWA 15
0.5%
191 191. UKEREWE 21
0.7%
192 192. MAGU 12
0.4%
193 193. MWANZA URBAN 18
0.6%
194 194. KWIMBA 13
0.5%
195 195. SENGEREMA 24
0.8%
196 196. ILEMELA 20
0.7%
197 197. MISUNGWI 8
0.3%
198 198. BUCHOSA 0
0%
201 201. TARIME 15
0.5%
202 202. SERENGETI 8
0.3%
203 203. MUSOMA RURAL 6
0.2%
204 204. BUNDA 17
0.6%
205 205. MUSOMA URBAN 14
0.5%
206 206. RORYA 11
0.4%
207 207. BUTIAMA 26
0.9%
208 208. TARIME TOWN 0
0%
209 209. BUNDA TOWN 0
0%
211 211. BABATI RURAL 23
0.8%
212 212. HANANG 23
0.8%
213 213. MBULU 20
0.7%
214 214. SIMANJIRO 16
0.6%
215 215. KITETO 10
0.3%
216 216. BABATI TOWN 15
0.5%
217 217. MBULU TOWN 0
0%
221 221. NJOMBE TOWN 10
0.3%
222 222. WANGING'OMBE 14
0.5%
223 223. MAKETE 14
0.5%
224 224. NJOMBE RURAL 10
0.3%
225 225. LUDEWA 19
0.7%
226 226. MAKAMBAKO TOWN 25
0.9%
231 231. MPANDA URBAN 20
0.7%
232 232. MPANDA RURAL 15
0.5%
233 233. MLELE 28
1%
234 234. MPIMBWE 0
0%
235 235. NSIMBO 0
0%
241 241. BARIADI 19
0.7%
242 242. ITILIMA 9
0.3%
243 243. MEATU 15
0.5%
244 244. MASWA 14
0.5%
245 245. BUSEGA 10
0.3%
246 246. BARIADI TOWN 0
0%
251 251. GEITA 45
1.6%
252 252. NYANG'HWALE 12
0.4%
253 253. MBOGWE 5
0.2%
254 254. BUKOMBE 15
0.5%
255 255. CHATO 18
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’ 71
2.5%
512 512. KASKAZINI ‘B’ 49
1.7%
521 521. KATI 8
0.3%
522 522. KUSINI 6
0.2%
531 531. MAGHARIBI 50
1.7%
532 532. MJINI 15
0.5%
541 541. WETE 91
3.2%
542 542. MICHEWENI 47
1.6%
551 551. CHAKECHAKE 43
1.5%
552 552. MKOANI 22
0.8%
1210 1210. TUNDUMA MJI (OLD) 0
0%
Sysmiss 8
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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