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
10760
Downloads
72
District (DIST)
Data file: Individual level data
Overview
Valid:
29715
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 | 454 |
1.5%
|
| 102 | Chisamba | 196 |
0.7%
|
| 103 | Chitambo | 49 |
0.2%
|
| 104 | Itezhi-tezhi | 146 |
0.5%
|
| 105 | Kabwe | 736 |
2.5%
|
| 106 | Kapiri Mposhi | 380 |
1.3%
|
| 107 | Luano | 59 |
0.2%
|
| 108 | Mkushi | 192 |
0.6%
|
| 109 | Mumbwa | 314 |
1.1%
|
| 110 | Ngabwe | 65 |
0.2%
|
| 111 | Serenje | 150 |
0.5%
|
| 201 | Chililabombwe | 164 |
0.6%
|
| 202 | Chingola | 301 |
1%
|
| 203 | Kalulushi | 280 |
0.9%
|
| 204 | Kitwe | 885 |
3%
|
| 205 | Luanshya | 413 |
1.4%
|
| 206 | Lufwanyama | 227 |
0.8%
|
| 207 | Masaiti | 275 |
0.9%
|
| 208 | Mpongwe | 304 |
1%
|
| 209 | Mufulira | 311 |
1%
|
| 210 | Ndola | 890 |
3%
|
| 301 | Chadiza | 70 |
0.2%
|
| 302 | Chipata | 1234 |
4.2%
|
| 303 | Katete | 405 |
1.4%
|
| 304 | Lundazi | 657 |
2.2%
|
| 305 | Mambwe | 88 |
0.3%
|
| 306 | Nyimba | 141 |
0.5%
|
| 307 | Petauke | 566 |
1.9%
|
| 308 | Sinda | 402 |
1.4%
|
| 309 | Vubwi | 81 |
0.3%
|
| 401 | Chembe | 124 |
0.4%
|
| 402 | Chiengi | 303 |
1%
|
| 403 | Chipili | 82 |
0.3%
|
| 404 | Kawambwa | 320 |
1.1%
|
| 405 | Lunga | 66 |
0.2%
|
| 406 | Mansa | 773 |
2.6%
|
| 407 | Milenge | 81 |
0.3%
|
| 408 | Mwansabombwe | 148 |
0.5%
|
| 409 | Mwense | 286 |
1%
|
| 410 | Nchelenge | 596 |
2%
|
| 411 | Samfya | 434 |
1.5%
|
| 501 | Chilanga | 291 |
1%
|
| 502 | Chirundu | 68 |
0.2%
|
| 503 | Chongwe | 331 |
1.1%
|
| 504 | Kafue | 295 |
1%
|
| 505 | Luangwa | 66 |
0.2%
|
| 506 | Lusaka | 2420 |
8.1%
|
| 507 | Rufunsa | 130 |
0.4%
|
| 508 | Shibuyungi | 67 |
0.2%
|
| 601 | Chama | 272 |
0.9%
|
| 602 | Chinsali | 299 |
1%
|
| 603 | Isoka | 207 |
0.7%
|
| 604 | Mafinga | 83 |
0.3%
|
| 605 | Mpika | 630 |
2.1%
|
| 606 | Nakonde | 355 |
1.2%
|
| 607 | Shiwangandu | 121 |
0.4%
|
| 701 | Chilubi | 168 |
0.6%
|
| 702 | Kaputa | 269 |
0.9%
|
| 703 | Kasama | 605 |
2%
|
| 704 | Luwingu | 325 |
1.1%
|
| 705 | Mbala | 444 |
1.5%
|
| 706 | Mporokoso | 203 |
0.7%
|
| 707 | Mpulungu | 456 |
1.5%
|
| 708 | Mungwi | 252 |
0.8%
|
| 709 | Nsama | 61 |
0.2%
|
| 801 | Chavuma | 151 |
0.5%
|
| 802 | Ikelenge | 71 |
0.2%
|
| 803 | Kabompo | 247 |
0.8%
|
| 804 | Kasempa | 133 |
0.4%
|
| 805 | Manyinga | 232 |
0.8%
|
| 806 | Mufumbwe | 127 |
0.4%
|
| 807 | Mwinilunga | 312 |
1%
|
| 808 | Solwezi | 806 |
2.7%
|
| 809 | Zambezi | 162 |
0.5%
|
| 901 | Chikankata | 77 |
0.3%
|
| 902 | Choma | 358 |
1.2%
|
| 903 | Gwembe | 55 |
0.2%
|
| 904 | Kalomo | 305 |
1%
|
| 905 | Kazungula | 194 |
0.7%
|
| 906 | Livingstone | 475 |
1.6%
|
| 907 | Mazabuka | 175 |
0.6%
|
| 908 | Monze | 393 |
1.3%
|
| 909 | Namwala | 148 |
0.5%
|
| 910 | Pemba | 78 |
0.3%
|
| 911 | Siavonga | 140 |
0.5%
|
| 912 | Sinazongwe | 147 |
0.5%
|
| 913 | Zimba | 183 |
0.6%
|
| 1001 | Kalabo | 335 |
1.1%
|
| 1002 | Kaoma | 189 |
0.6%
|
| 1003 | Limulunga | 200 |
0.7%
|
| 1004 | Luampa | 88 |
0.3%
|
| 1005 | Lukulu | 234 |
0.8%
|
| 1006 | Mitete | 59 |
0.2%
|
| 1007 | Mongu | 443 |
1.5%
|
| 1008 | Mulobezi | 92 |
0.3%
|
| 1009 | Mwandi | 73 |
0.2%
|
| 1010 | Nalolo | 160 |
0.5%
|
| 1011 | Nkeyema | 162 |
0.5%
|
| 1012 | Senanga | 248 |
0.8%
|
| 1013 | Sesheke | 65 |
0.2%
|
| 1014 | Shang'ombo | 119 |
0.4%
|
| 1015 | Sikongo | 136 |
0.5%
|
| 1016 | Sioma | 77 |
0.3%
|
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.