2022 Annual Labour Force Survey Report
Eleventh Edith
Zambia, 2022
Get Microdata
Reference ID
ZMB-ZSA-LFS-2022-V1.0
Producer(s)
Zambia Statistics Agency
Metadata
Created on
Aug 17, 2025
Last modified
Feb 26, 2026
Page views
13492
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- Data files
- 2022_Annual_LFS_Data
in which district was ....... living before he / she moved to the district you presently reside in (J4_C_DISTICT)
Data file: 2022_Annual_LFS_Data
Overview
Valid:
261
Invalid:
46808
Minimum:
101
Maximum:
1006
Type:
Discrete
Decimal:
0
Width:
4
Range:
101 - 1007
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 6 |
2.3%
|
| 102 | Kabwe | 7 |
2.7%
|
| 103 | Kapiri-Mposhi | 2 |
0.8%
|
| 104 | Mkushi | 1 |
0.4%
|
| 105 | Mumbwa | 1 |
0.4%
|
| 106 | Serenje | 1 |
0.4%
|
| 201 | Chililabombwe | 4 |
1.5%
|
| 202 | Chingola | 13 |
5%
|
| 203 | Kalulushi | 1 |
0.4%
|
| 204 | Kitwe | 14 |
5.4%
|
| 205 | Luanshya | 8 |
3.1%
|
| 206 | Lufwanyama | 0 |
0%
|
| 207 | Masaiti | 0 |
0%
|
| 208 | Mpongwe | 0 |
0%
|
| 209 | Mufulira | 4 |
1.5%
|
| 210 | Ndola | 14 |
5.4%
|
| 301 | Chadiza | 3 |
1.1%
|
| 302 | Chipata | 10 |
3.8%
|
| 303 | Katete | 0 |
0%
|
| 304 | Lundazi | 1 |
0.4%
|
| 305 | Mambwe | 0 |
0%
|
| 306 | Nyimba | 0 |
0%
|
| 307 | Petauke | 0 |
0%
|
| 401 | Chienge | 1 |
0.4%
|
| 402 | Kawambwa | 3 |
1.1%
|
| 403 | Mansa | 10 |
3.8%
|
| 404 | Milenge | 0 |
0%
|
| 405 | Mwense | 1 |
0.4%
|
| 406 | Nchelenge | 1 |
0.4%
|
| 407 | Samfya | 1 |
0.4%
|
| 501 | Chongwe | 0 |
0%
|
| 502 | Kafue | 4 |
1.5%
|
| 503 | Luangwa | 1 |
0.4%
|
| 504 | Lusaka | 49 |
18.8%
|
| 601 | Chama | 1 |
0.4%
|
| 602 | Chinsali | 4 |
1.5%
|
| 603 | Isoka | 6 |
2.3%
|
| 604 | Mafinga | 0 |
0%
|
| 605 | Mpika | 1 |
0.4%
|
| 606 | Nakonde | 1 |
0.4%
|
| 701 | Chilubi | 3 |
1.1%
|
| 702 | Kaputa | 0 |
0%
|
| 703 | Kasama | 7 |
2.7%
|
| 704 | Luwingu | 3 |
1.1%
|
| 705 | Mbala | 1 |
0.4%
|
| 706 | Mporokoso | 0 |
0%
|
| 707 | Mpulungu | 0 |
0%
|
| 708 | Mungwi | 0 |
0%
|
| 801 | Chavuma | 5 |
1.9%
|
| 802 | Ikelenge | 0 |
0%
|
| 803 | Kabompo | 3 |
1.1%
|
| 804 | Kasempa | 2 |
0.8%
|
| 805 | Mufumbwe | 0 |
0%
|
| 806 | Mwinilunga | 1 |
0.4%
|
| 807 | Solwezi | 9 |
3.4%
|
| 808 | Zambezi | 3 |
1.1%
|
| 901 | Choma | 5 |
1.9%
|
| 902 | Gwembe | 1 |
0.4%
|
| 903 | Itezhi-tezhi | 0 |
0%
|
| 904 | Kalomo | 1 |
0.4%
|
| 905 | Kazungula | 1 |
0.4%
|
| 906 | Livingstone | 6 |
2.3%
|
| 907 | Mazabuka | 4 |
1.5%
|
| 908 | Monze | 2 |
0.8%
|
| 909 | Namwala | 0 |
0%
|
| 910 | Siavonga | 3 |
1.1%
|
| 911 | Sinazongwe | 2 |
0.8%
|
| 1001 | Kalabo | 2 |
0.8%
|
| 1002 | Kaoma | 6 |
2.3%
|
| 1003 | Lukulu | 0 |
0%
|
| 1004 | Mongu | 11 |
4.2%
|
| 1005 | Senanga | 3 |
1.1%
|
| 1006 | Sesheke | 3 |
1.1%
|
| 1007 | Shang'ombo | 0 |
0%
|
| Sysmiss | 46808 |
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.