2021 Socio Economic Impact Assessment of COVID-19 on Households in Zambia
1st Edition
Zambia, 2021
Get Microdata
Reference ID
ZMB-ZSA-SEIA-2021-V1.0
Producer(s)
Zambia Statistics Agency,
Metadata
Created on
Jan 16, 2026
Last modified
Feb 26, 2026
Page views
11145
Downloads
72
District (DIST)
Data file: Household level data
Overview
Valid:
10213
Invalid:
0
Minimum:
101
Maximum:
1016
Type:
Continuous
Decimal:
0
Width:
4
Range:
101 - 1016
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 150 |
1.5%
|
| 102 | Chisamba | 75 |
0.7%
|
| 103 | Chitambo | 25 |
0.2%
|
| 104 | Itezhi-tezhi | 49 |
0.5%
|
| 105 | Kabwe | 250 |
2.4%
|
| 106 | Kapiri Mposhi | 141 |
1.4%
|
| 107 | Luano | 25 |
0.2%
|
| 108 | Mkushi | 100 |
1%
|
| 109 | Mumbwa | 124 |
1.2%
|
| 110 | Ngabwe | 25 |
0.2%
|
| 111 | Serenje | 75 |
0.7%
|
| 201 | Chililabombwe | 61 |
0.6%
|
| 202 | Chingola | 103 |
1%
|
| 203 | Kalulushi | 96 |
0.9%
|
| 204 | Kitwe | 242 |
2.4%
|
| 205 | Luanshya | 123 |
1.2%
|
| 206 | Lufwanyama | 73 |
0.7%
|
| 207 | Masaiti | 100 |
1%
|
| 208 | Mpongwe | 98 |
1%
|
| 209 | Mufulira | 99 |
1%
|
| 210 | Ndola | 222 |
2.2%
|
| 301 | Chadiza | 25 |
0.2%
|
| 302 | Chipata | 372 |
3.6%
|
| 303 | Katete | 124 |
1.2%
|
| 304 | Lundazi | 223 |
2.2%
|
| 305 | Mambwe | 25 |
0.2%
|
| 306 | Nyimba | 50 |
0.5%
|
| 307 | Petauke | 175 |
1.7%
|
| 308 | Sinda | 125 |
1.2%
|
| 309 | Vubwi | 25 |
0.2%
|
| 401 | Chembe | 31 |
0.3%
|
| 402 | Chiengi | 100 |
1%
|
| 403 | Chipili | 25 |
0.2%
|
| 404 | Kawambwa | 100 |
1%
|
| 405 | Lunga | 25 |
0.2%
|
| 406 | Mansa | 201 |
2%
|
| 407 | Milenge | 25 |
0.2%
|
| 408 | Mwansabombwe | 50 |
0.5%
|
| 409 | Mwense | 98 |
1%
|
| 410 | Nchelenge | 175 |
1.7%
|
| 411 | Samfya | 150 |
1.5%
|
| 501 | Chilanga | 114 |
1.1%
|
| 502 | Chirundu | 22 |
0.2%
|
| 503 | Chongwe | 144 |
1.4%
|
| 504 | Kafue | 99 |
1%
|
| 505 | Luangwa | 23 |
0.2%
|
| 506 | Lusaka | 843 |
8.3%
|
| 507 | Rufunsa | 46 |
0.5%
|
| 508 | Shibuyungi | 25 |
0.2%
|
| 601 | Chama | 98 |
1%
|
| 602 | Chinsali | 99 |
1%
|
| 603 | Isoka | 95 |
0.9%
|
| 604 | Mafinga | 49 |
0.5%
|
| 605 | Mpika | 273 |
2.7%
|
| 606 | Nakonde | 167 |
1.6%
|
| 607 | Shiwangandu | 46 |
0.5%
|
| 701 | Chilubi | 68 |
0.7%
|
| 702 | Kaputa | 75 |
0.7%
|
| 703 | Kasama | 215 |
2.1%
|
| 704 | Luwingu | 116 |
1.1%
|
| 705 | Mbala | 147 |
1.4%
|
| 706 | Mporokoso | 73 |
0.7%
|
| 707 | Mpulungu | 150 |
1.5%
|
| 708 | Mungwi | 98 |
1%
|
| 709 | Nsama | 24 |
0.2%
|
| 801 | Chavuma | 50 |
0.5%
|
| 802 | Ikelenge | 23 |
0.2%
|
| 803 | Kabompo | 75 |
0.7%
|
| 804 | Kasempa | 49 |
0.5%
|
| 805 | Manyinga | 75 |
0.7%
|
| 806 | Mufumbwe | 49 |
0.5%
|
| 807 | Mwinilunga | 121 |
1.2%
|
| 808 | Solwezi | 294 |
2.9%
|
| 809 | Zambezi | 49 |
0.5%
|
| 901 | Chikankata | 24 |
0.2%
|
| 902 | Choma | 122 |
1.2%
|
| 903 | Gwembe | 25 |
0.2%
|
| 904 | Kalomo | 124 |
1.2%
|
| 905 | Kazungula | 71 |
0.7%
|
| 906 | Livingstone | 199 |
1.9%
|
| 907 | Mazabuka | 70 |
0.7%
|
| 908 | Monze | 141 |
1.4%
|
| 909 | Namwala | 47 |
0.5%
|
| 910 | Pemba | 24 |
0.2%
|
| 911 | Siavonga | 50 |
0.5%
|
| 912 | Sinazongwe | 48 |
0.5%
|
| 913 | Zimba | 75 |
0.7%
|
| 1001 | Kalabo | 100 |
1%
|
| 1002 | Kaoma | 75 |
0.7%
|
| 1003 | Limulunga | 75 |
0.7%
|
| 1004 | Luampa | 25 |
0.2%
|
| 1005 | Lukulu | 73 |
0.7%
|
| 1006 | Mitete | 25 |
0.2%
|
| 1007 | Mongu | 149 |
1.5%
|
| 1008 | Mulobezi | 24 |
0.2%
|
| 1009 | Mwandi | 25 |
0.2%
|
| 1010 | Nalolo | 50 |
0.5%
|
| 1011 | Nkeyema | 50 |
0.5%
|
| 1012 | Senanga | 100 |
1%
|
| 1013 | Sesheke | 25 |
0.2%
|
| 1014 | Shang'ombo | 50 |
0.5%
|
| 1015 | Sikongo | 49 |
0.5%
|
| 1016 | 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.