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
Jan 17, 2026
Page views
3878
Downloads
12
District (DIST)
Data file: HouseholdExpenditure_Clean_A
Overview
Valid:
1030455
Invalid:
0
Type:
Discrete
Width:
39
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| Chadiza | 2525 |
0.2%
|
|
| Chama | 9898 |
1%
|
|
| Chavuma | 5050 |
0.5%
|
|
| Chembe | 3131 |
0.3%
|
|
| Chibombo | 15150 |
1.5%
|
|
| Chiengi | 10100 |
1%
|
|
| Chikankata | 2424 |
0.2%
|
|
| Chilanga | 11514 |
1.1%
|
|
| Chililabombwe | 6161 |
0.6%
|
|
| Chilubi | 6868 |
0.7%
|
|
| Chingola | 10302 |
1%
|
|
| Chinsali | 9999 |
1%
|
|
| Chipata | 37572 |
3.6%
|
|
| Chipili | 2525 |
0.2%
|
|
| Chirundu | 2222 |
0.2%
|
|
| Chisamba | 7575 |
0.7%
|
|
| Chitambo | 2525 |
0.2%
|
|
| Choma | 12322 |
1.2%
|
|
| Chongwe | 14544 |
1.4%
|
|
| Gwembe | 2525 |
0.2%
|
|
| Ikelenge | 2323 |
0.2%
|
|
| Isoka | 9595 |
0.9%
|
|
| Itezhi-tezhi | 4949 |
0.5%
|
|
| Kabompo | 7575 |
0.7%
|
|
| Kabwe | 25250 |
2.5%
|
|
| Kafue | 9999 |
1%
|
|
| Kalabo | 10100 |
1%
|
|
| Kalomo | 12524 |
1.2%
|
|
| Kalulushi | 9601 |
0.9%
|
|
| Kaoma | 7575 |
0.7%
|
|
| Kapiri Mposhi | 14241 |
1.4%
|
|
| Kaputa | 7575 |
0.7%
|
|
| Kasama | 21624 |
2.1%
|
|
| Kasempa | 4949 |
0.5%
|
|
| Katete | 12524 |
1.2%
|
|
| Kawambwa | 10100 |
1%
|
|
| Kazungula | 7171 |
0.7%
|
|
| Kitwe | 24341 |
2.4%
|
|
| Limulunga | 7575 |
0.7%
|
|
| Livingstone | 19998 |
1.9%
|
|
| Luampa | 2525 |
0.2%
|
|
| Luangwa | 2323 |
0.2%
|
|
| Luano | 2525 |
0.2%
|
|
| Luanshya | 12366 |
1.2%
|
|
| Lufwanyama | 7272 |
0.7%
|
|
| Lukulu | 7373 |
0.7%
|
|
| Lundazi | 22523 |
2.2%
|
|
| Lunga | 2525 |
0.2%
|
|
| Lusaka | 85118 |
8.3%
|
|
| Luwingu | 11716 |
1.1%
|
|
| Mafinga | 4949 |
0.5%
|
|
| Mambwe | 2525 |
0.2%
|
|
| Mansa | 20301 |
2%
|
|
| Manyinga | 7575 |
0.7%
|
|
| Masaiti | 10100 |
1%
|
|
| Mazabuka | 7070 |
0.7%
|
|
| Mbala | 14847 |
1.4%
|
|
| Milenge | 2525 |
0.2%
|
|
| Mitete | 2525 |
0.2%
|
|
| Mkushi | 10100 |
1%
|
|
| Mongu | 15049 |
1.5%
|
|
| Monze | 14241 |
1.4%
|
|
| Mpika | 27573 |
2.7%
|
|
| Mpongwe | 9898 |
1%
|
|
| Mporokoso | 7373 |
0.7%
|
|
| Mpulungu | 15150 |
1.5%
|
|
| Mufulira | 9999 |
1%
|
|
| Mufumbwe | 4949 |
0.5%
|
|
| Mulobezi | 2424 |
0.2%
|
|
| Mumbwa | 12524 |
1.2%
|
|
| Mungwi | 9898 |
1%
|
|
| Mwandi | 2525 |
0.2%
|
|
| Mwansabombwe | 5050 |
0.5%
|
|
| Mwense | 9898 |
1%
|
|
| Mwinilunga | 12221 |
1.2%
|
|
| Nakonde | 16766 |
1.6%
|
|
| Nalolo | 5050 |
0.5%
|
|
| Namwala | 4747 |
0.5%
|
|
| Nchelenge | 17675 |
1.7%
|
|
| Ndola | 22327 |
2.2%
|
|
| Ngabwe | 2525 |
0.2%
|
|
| Nkeyema | 5050 |
0.5%
|
|
| Nsama | 2424 |
0.2%
|
|
| Nyimba | 5050 |
0.5%
|
|
| Pemba | 2424 |
0.2%
|
|
| Petauke | 17580 |
1.7%
|
|
| Rufunsa | 4646 |
0.5%
|
|
| Samfya | 15150 |
1.5%
|
|
| Senanga | 10100 |
1%
|
|
| Serenje | 7575 |
0.7%
|
|
| Sesheke | 2525 |
0.2%
|
|
| Shang'ombo | 5050 |
0.5%
|
|
| Shibuyungi | 2525 |
0.2%
|
|
| Shiwangandu | 4646 |
0.5%
|
|
| Siavonga | 5050 |
0.5%
|
|
| Sikongo | 4949 |
0.5%
|
|
| Sinazongwe | 4848 |
0.5%
|
|
| Sinda | 12530 |
1.2%
|
|
| Sioma | 2424 |
0.2%
|
|
| Solwezi | 29694 |
2.9%
|
|
| Vubwi | 2525 |
0.2%
|
|
| Zambezi | 4949 |
0.5%
|
|
| Zimba | 7575 |
0.7%
|
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.