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2021 Socio Economic Impact Assessment of COVID-19 on Households in Zambia
1st Edition

Zambia, 2021
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Reference ID
ZMB-ZSA-SEIA-2021-V1.0
Producer(s)
Zambia Statistics Agency,
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 16, 2026
Last modified
Feb 26, 2026
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10737
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Constituency (CONST)

Data file: Household level data

Overview

Valid: 10213
Invalid: 0
Minimum: 1
Maximum: 156
Type: Continuous
Decimal: 0
Width: 3
Range: 1 - 156
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Keembe 75
0.7%
2 Katuba 75
0.7%
3 Chisamba 75
0.7%
4 Chitambo 25
0.2%
5 Itezhi-tezhi 49
0.5%
6 Bwacha 100
1%
7 Kabwe Central 150
1.5%
8 Kapiri Mposhi 141
1.4%
9 Luano 25
0.2%
10 Mkushi North 100
1%
11 Mumbwa 74
0.7%
12 Nangoma 50
0.5%
13 Ngabwe 25
0.2%
14 Muchinga 25
0.2%
15 Serenje 50
0.5%
16 Chililabombwe 61
0.6%
17 Chingola 64
0.6%
18 Nchanga 39
0.4%
19 Kalulushi 96
0.9%
20 Chimwemwe 49
0.5%
21 Kamfinsa 49
0.5%
22 Kwacha 47
0.5%
23 Nkana 47
0.5%
24 Wusakile 50
0.5%
25 Luanshya 74
0.7%
26 Roan 49
0.5%
27 Lufwanyama 73
0.7%
28 Kafulafuta 50
0.5%
29 Masaiti 50
0.5%
30 Mpongwe 98
1%
31 Kankoyo 25
0.2%
32 Kantanshi 24
0.2%
33 Mufurila 50
0.5%
34 Bwana Mkumbwa 49
0.5%
35 Chifubu 49
0.5%
36 Kabushi 49
0.5%
37 Ndola 75
0.7%
38 Chadiza 25
0.2%
39 Chipangali 75
0.7%
40 Chipata Central 198
1.9%
41 Kasenegwa 50
0.5%
42 Luangeni 49
0.5%
43 Milanzi 50
0.5%
44 Mkaika 74
0.7%
45 Chasefu 50
0.5%
46 Lumezi 50
0.5%
47 Lundazi 123
1.2%
48 Mambwe 25
0.2%
49 Nyimba 50
0.5%
50 Kapoche 50
0.5%
51 Manzala 100
1%
52 Petauke 25
0.2%
53 Sinda 75
0.7%
54 Kapoche 50
0.5%
55 Vubwi 25
0.2%
56 Chembe 31
0.3%
57 Chiengi 100
1%
58 Chipili 25
0.2%
59 Kawambwa 50
0.5%
60 Pambashe 50
0.5%
61 Luapula 25
0.2%
62 Bahati 88
0.9%
63 Mansa Central 113
1.1%
64 Milenge 25
0.2%
65 Mwansabombwe 50
0.5%
66 Mambilima 23
0.2%
67 Mwense 75
0.7%
68 Nchelenge 175
1.7%
69 Bangweulu 75
0.7%
70 Chifunabuli 75
0.7%
71 Chilanga 114
1.1%
72 Chirundu 22
0.2%
73 Chongwe 144
1.4%
74 Kafue 99
1%
75 Feira 23
0.2%
76 Munali 119
1.2%
77 Lusaka Central 46
0.5%
78 Kabwata 99
1%
79 Chawama 97
0.9%
80 Kanyama 199
1.9%
81 Matero 120
1.2%
82 Mandevu 163
1.6%
83 Rufunsa 46
0.5%
84 Mwembeshi 25
0.2%
85 Chama North 49
0.5%
86 Chama South 49
0.5%
87 Chinsali 99
1%
88 Isoka 95
0.9%
89 Mafinga 49
0.5%
90 Kanchibiya 100
1%
91 Mfuwe 25
0.2%
92 Mpika 148
1.4%
93 Nakonde 167
1.6%
94 Shiwangandu 46
0.5%
95 Chilubi 68
0.7%
96 Kaputa 75
0.7%
97 Kasama 167
1.6%
98 Lukashya 48
0.5%
99 Lubansenshi 67
0.7%
100 Lupososhi 49
0.5%
101 Mbala 74
0.7%
102 Nsenga Hill 73
0.7%
103 Lunte 48
0.5%
104 Mporokoso 25
0.2%
105 Mpulungu 150
1.5%
106 Malole 98
1%
107 Chimbamilonga 24
0.2%
108 Chavuma 50
0.5%
109 Ikelenge 23
0.2%
110 Kabompo East 75
0.7%
111 Kasempa 49
0.5%
112 Kabompo West 75
0.7%
113 Mufumbwe 49
0.5%
114 Mwinilunga 121
1.2%
115 Solwezi Central 170
1.7%
116 Solwezi East 25
0.2%
117 Solwezi West 99
1%
118 Zambezi East 24
0.2%
119 Zambezi West 25
0.2%
120 Chikankata 24
0.2%
121 Choma 99
1%
122 Mbabala 23
0.2%
123 Gwembe 25
0.2%
124 Dundumwenze 50
0.5%
125 Kalomo Central 74
0.7%
126 Kazungula 71
0.7%
127 Livingstone 199
1.9%
129 Mazabuka 70
0.7%
130 Bweengwa 47
0.5%
131 Monze 71
0.7%
132 Moomba 23
0.2%
133 Namwala 47
0.5%
134 Pemba 24
0.2%
135 Siavonga 50
0.5%
136 Sinazongwe 48
0.5%
137 Mapatizya 75
0.7%
138 Kalabo 75
0.7%
139 Liuwa 25
0.2%
140 Kaoma Central 25
0.2%
141 Mangango 50
0.5%
142 Luena 75
0.7%
143 Luampa 25
0.2%
144 Lukulu 73
0.7%
145 Lukulu West 25
0.2%
146 Mongu 124
1.2%
147 Nalikwanda 25
0.2%
148 Mulobezi 24
0.2%
149 Mwandi 25
0.2%
150 Nalolo 50
0.5%
151 Nkeyema 50
0.5%
152 Senanga 100
1%
153 Sesheke 25
0.2%
154 Sinjembela 50
0.5%
155 Sikongo 49
0.5%
156 Sioma 24
0.2%
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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