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    Home / Central Data Catalog / ZMB-ZS-ZAMHPIA-2021-V01 / variable [F19]
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Zambia Population-based HIV Impact Assessment 2021

Zambia, 2021
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Reference ID
ZMB-ZS-ZAMHPIA-2021-v01
Metadata
Documentation in PDF DDI/XML JSON
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Created on
Dec 10, 2023
Last modified
Apr 09, 2024
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  • zamphia2021hh
  • zamphia2021roster
  • zamphia2021adultind
  • zamphia2021adultbio

Province lived in before current (outregionwhr)

Data file: zamphia2021adultind

Overview

Valid: 15668
Invalid: 6594
Type: Discrete
Decimal: 0
Width: 19
Range: -9 - 996
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 (-9) Refused 0
0%
-8 (-8) Don't know 8
0.1%
20 (20) Malawi 61
0.4%
21 (21) Mozambique 0
0%
22 (22) Zimbabwe 0
0%
23 (23) Namibia 0
0%
24 (24) Botswana 0
0%
25 (25) Angola 0
0%
26 (26) DRC 0
0%
27 (27) Tanzania 30
0.2%
28 (28) South Africa 0
0%
29 (29) UAE 0
0%
30 (30) China 0
0%
31 (31) Nigeria 0
0%
32 (32) India 0
0%
101 (101) Chibombo 191
1.2%
102 (102) Chisamba 85
0.5%
103 (103) Chitambo 28
0.2%
104 (104) Itezhi-Tezhi 51
0.3%
105 (105) Kabwe 362
2.3%
106 (106) Kapiri Mposhi 197
1.3%
107 (107) Luano 59
0.4%
108 (108) Mkushi 123
0.8%
109 (109) Mumbwa 173
1.1%
110 (110) Ngabwe 0
0%
111 (111) Serenje 90
0.6%
112 (112) Chililabombwe 100
0.6%
113 (113) Chingola 278
1.8%
114 (114) Kalulushi 88
0.6%
115 (114) Kitwe 711
4.5%
116 (116) Luanshya 276
1.8%
117 (117) Lufwanyama 29
0.2%
118 (118) Masaiti 36
0.2%
119 (119) Mpongwe 68
0.4%
120 (120) Mufulira 229
1.5%
121 (121) Ndola 499
3.2%
123 (123) Chadiza 62
0.4%
124 (124) Chasefu 66
0.4%
125 (125) Chipangali 116
0.7%
126 (126) Chipata 433
2.8%
127 (127) Kasenengwa 0
0%
128 (128) Katete 201
1.3%
129 (129) Lumezi 66
0.4%
130 (130) Lundazi 204
1.3%
131 (131) Mambwe 0
0%
132 (132) Lusangazi 0
0%
133 (133) Nyimba 90
0.6%
134 (134) Petauke 180
1.1%
135 (135) Sinda 93
0.6%
136 (136) Vubwi 0
0%
137 (137) Chembe 0
0%
138 (138) Chiengi 113
0.7%
139 (139) Chifunabuli 75
0.5%
140 (140) Chipili 85
0.5%
141 (141) Kawambwa 153
1%
142 (142) Lunga 0
0%
143 (143) Mansa 380
2.4%
144 (144) Milenge 37
0.2%
145 (145) Mwansabombwe 38
0.2%
146 (146) Mwense 112
0.7%
147 (147) Nchelenge 191
1.2%
148 (148) Samfya 79
0.5%
149 (149) Chilanga 0
0%
150 (150) Chirundu 38
0.2%
151 (151) Chongwe 47
0.3%
152 (152) Kafue 87
0.6%
153 (153) Luangwa 49
0.3%
154 (154) Lusaka 1743
11.1%
155 (155) Rufunsa 0
0%
156 (156) Shibuyunji 0
0%
157 (157) Chama 225
1.4%
158 (158) Chinsali 288
1.8%
160 (160) Isoka 172
1.1%
161 (161) Kanchibiya 65
0.4%
162 (162) Lavushimanda 33
0.2%
163 (163) Mafinga 112
0.7%
164 (164) Mpika 333
2.1%
165 (165) Nakonde 241
1.5%
166 (166) Shiwang'andu 75
0.5%
167 (167) Chilubi 86
0.5%
168 (168) Kaputa 68
0.4%
169 (169) Kasama 347
2.2%
170 (170) Lunte 0
0%
171 (171) Lupososhi 28
0.2%
172 (172) Luwingu 104
0.7%
173 (173) Mbala 134
0.9%
174 (174) Mporokoso 107
0.7%
175 (175) Mpulungu 87
0.6%
176 (176) Mungwi 158
1%
177 (177) Nsama 0
0%
178 (178) Senga 59
0.4%
179 (179) Chavuma 61
0.4%
180 (180) Ikelenge 35
0.2%
181 (181) Kabompo 139
0.9%
182 (182) Kasempa 123
0.8%
183 (183) Kalumbila 80
0.5%
184 (184) Manyinga 120
0.8%
185 (185) Mufumbwe 106
0.7%
186 (186) Mushindano 0
0%
187 (187) Mwinilunga 215
1.4%
188 (188) Solwezi 311
2%
189 (189) Zambezi 225
1.4%
190 (190) Chikankata 41
0.3%
191 (191) Choma 180
1.1%
192 (192) Gwembe 51
0.3%
193 (193) Kalomo 76
0.5%
194 (194) Kazungula 38
0.2%
195 (195) Livingstone 243
1.6%
196 (196) Mazabuka 184
1.2%
197 (197) Monze 160
1%
198 (198) Namwala 61
0.4%
199 (199) Pemba 56
0.4%
200 (200) Siavonga 25
0.2%
201 (201) Sinazongwe 32
0.2%
202 (202) Zimba 37
0.2%
203 (203) Kalabo 174
1.1%
204 (204) Kaoma 212
1.4%
205 (205) Limulunga 57
0.4%
206 (206) Luampa 78
0.5%
207 (207) Lukulu 66
0.4%
208 (208) Mitete 28
0.2%
209 (209) Mongu 327
2.1%
210 (210) Mulobezi 0
0%
211 (211) Mwandi 0
0%
212 (212) Nalolo 69
0.4%
213 (213) Nkeyema 72
0.5%
214 (214) Senanga 131
0.8%
215 (215) Sesheke 128
0.8%
216 (216) Shang'ombo 64
0.4%
217 (217) Sikongo 54
0.3%
218 (218) Sioma 48
0.3%
996 996) Other 329
2.1%
Sysmiss 6594
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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