2023 Labour Force Survey
12th Edition
Zambia, 2023
Get MicrodataCreated on
Aug 17, 2025
Last modified
Feb 11, 2026
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- Data files
- ZM_Annual_LFS_2023_Data_Anonymised
In which Dist was ........ born? (J1_C_DIST)
Data file: ZM_Annual_LFS_2023_Data_Anonymised
Overview
Valid:
31
Invalid:
48776
Minimum:
101
Maximum:
1016
Type:
Continuous
Decimal:
0
Width:
4
Range:
101 - 1016
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 1 |
3.2%
|
| 102 | Chisamba | 0 |
0%
|
| 103 | Chitambo | 0 |
0%
|
| 104 | Kabwe | 1 |
3.2%
|
| 105 | Kapiri Mposhi | 0 |
0%
|
| 106 | Luano | 0 |
0%
|
| 107 | Mkushi | 1 |
3.2%
|
| 108 | Mumbwa | 1 |
3.2%
|
| 109 | Ngabwe | 0 |
0%
|
| 110 | Serenje | 1 |
3.2%
|
| 201 | Chililabombwe | 0 |
0%
|
| 202 | Chingola | 1 |
3.2%
|
| 203 | Kalulushi | 0 |
0%
|
| 204 | Kitwe | 0 |
0%
|
| 205 | Luanshya | 1 |
3.2%
|
| 206 | Lufwanyama | 0 |
0%
|
| 207 | Masaiti | 0 |
0%
|
| 208 | Mpongwe | 0 |
0%
|
| 209 | Mufulira | 0 |
0%
|
| 210 | Ndola | 0 |
0%
|
| 301 | Chadiza | 0 |
0%
|
| 302 | Chama | 0 |
0%
|
| 303 | Chasefu | 0 |
0%
|
| 304 | Chipangali | 0 |
0%
|
| 305 | Chipata | 0 |
0%
|
| 306 | Kasenengwa | 0 |
0%
|
| 307 | Katete | 0 |
0%
|
| 308 | Lumezi | 0 |
0%
|
| 309 | Lundazi | 1 |
3.2%
|
| 310 | Lusangazi | 0 |
0%
|
| 311 | Mambwe | 1 |
3.2%
|
| 312 | Nyimba | 0 |
0%
|
| 313 | Petauke | 0 |
0%
|
| 314 | Sinda | 0 |
0%
|
| 315 | Vubwi | 0 |
0%
|
| 401 | Chembe | 1 |
3.2%
|
| 402 | Chiengi | 1 |
3.2%
|
| 403 | Chifunabuli | 0 |
0%
|
| 404 | Chipili | 0 |
0%
|
| 405 | Kawambwa | 1 |
3.2%
|
| 406 | Lunga | 0 |
0%
|
| 407 | Mansa | 3 |
9.7%
|
| 408 | Milengi | 0 |
0%
|
| 409 | Mwansabombwe | 0 |
0%
|
| 410 | Mwense | 0 |
0%
|
| 411 | Nchelenge | 0 |
0%
|
| 412 | Samfya | 0 |
0%
|
| 501 | Chilanga | 0 |
0%
|
| 502 | Chongwe | 0 |
0%
|
| 503 | Kafue | 0 |
0%
|
| 504 | Luangwa | 1 |
3.2%
|
| 505 | Lusaka | 5 |
16.1%
|
| 506 | Rufunsa | 0 |
0%
|
| 507 | Shibuyunji | 0 |
0%
|
| 601 | Chinsali | 1 |
3.2%
|
| 602 | Isoka | 0 |
0%
|
| 603 | Kanchibiya | 0 |
0%
|
| 604 | Lavushimanda | 0 |
0%
|
| 605 | Mafinga | 0 |
0%
|
| 606 | Mpika | 0 |
0%
|
| 607 | Nakonde | 0 |
0%
|
| 608 | Shiwang'andu | 0 |
0%
|
| 701 | Chilubi | 0 |
0%
|
| 702 | Kaputa | 0 |
0%
|
| 703 | Kasama | 1 |
3.2%
|
| 704 | Lunte | 0 |
0%
|
| 705 | Lupososhi | 0 |
0%
|
| 706 | Luwingu | 0 |
0%
|
| 707 | Mbala | 0 |
0%
|
| 708 | Mporokoso | 1 |
3.2%
|
| 709 | Mpulungu | 0 |
0%
|
| 710 | Mungwi | 0 |
0%
|
| 711 | Nsama | 0 |
0%
|
| 712 | Senga Hill | 0 |
0%
|
| 801 | Chavuma | 1 |
3.2%
|
| 802 | Ikelenge | 0 |
0%
|
| 803 | Kabompo | 1 |
3.2%
|
| 804 | Kalumbila | 0 |
0%
|
| 805 | Kasempa | 0 |
0%
|
| 806 | Manyinga | 0 |
0%
|
| 807 | Mufumbwe | 1 |
3.2%
|
| 808 | Mushindano | 0 |
0%
|
| 809 | Mwinilunga | 0 |
0%
|
| 810 | Solwezi | 0 |
0%
|
| 811 | Zambezi | 0 |
0%
|
| 901 | Chikankanta | 3 |
9.7%
|
| 902 | Chirundu | 0 |
0%
|
| 903 | Choma | 0 |
0%
|
| 904 | Gwembe | 0 |
0%
|
| 905 | Itezhi-tezhi | 0 |
0%
|
| 906 | Kalomo | 0 |
0%
|
| 907 | Kazungula | 0 |
0%
|
| 908 | Livingstone | 0 |
0%
|
| 909 | Mazabuka | 0 |
0%
|
| 910 | Monze | 0 |
0%
|
| 911 | Namwala | 0 |
0%
|
| 912 | Pemba | 0 |
0%
|
| 913 | Siavonga | 0 |
0%
|
| 914 | Sinazongwe | 0 |
0%
|
| 915 | Zimba | 0 |
0%
|
| 1001 | Kalabo | 0 |
0%
|
| 1002 | Kaoma | 0 |
0%
|
| 1003 | Limulunga | 0 |
0%
|
| 1004 | Luampa | 0 |
0%
|
| 1005 | Lukulu | 0 |
0%
|
| 1006 | Mitete | 0 |
0%
|
| 1007 | Mongu | 0 |
0%
|
| 1008 | Mulobezi | 0 |
0%
|
| 1009 | Mwandi | 0 |
0%
|
| 1010 | Nalolo | 0 |
0%
|
| 1011 | Nkeyema | 0 |
0%
|
| 1012 | Senanga | 0 |
0%
|
| 1013 | Sesheke | 0 |
0%
|
| 1014 | Shangombo | 0 |
0%
|
| 1015 | Sikongo | 0 |
0%
|
| 1016 | Sioma | 1 |
3.2%
|
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.