2022/2023 Quarterly Employment And Earnings Inquiry
13th Edition
Zambia, 2023 - 2024
Get Microdata
Reference ID
ZMB-ZSA-EEI-2023-V1.0
Producer(s)
Zambia Statistics Agency
Metadata
Created on
Jan 29, 2026
Last modified
Feb 26, 2026
Page views
2240
Downloads
81
2. District (DIST)
Data file: ZM_EEI_Employment
Overview
Valid:
1463
Invalid:
31
Minimum:
101
Maximum:
1016
Type:
Discrete
Decimal:
0
Width:
4
Range:
101 - 1016
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 14 |
1%
|
| 102 | Chisamba | 19 |
1.3%
|
| 103 | Chitambo | 3 |
0.2%
|
| 104 | Itezhi-tezhi | 0 |
0%
|
| 105 | Kabwe | 70 |
4.8%
|
| 106 | Kapiri Mposhi | 9 |
0.6%
|
| 107 | Luano | 0 |
0%
|
| 108 | Mkushi | 29 |
2%
|
| 109 | Mumbwa | 8 |
0.5%
|
| 110 | Ngabwe | 6 |
0.4%
|
| 111 | Serenje | 0 |
0%
|
| 112 | Shibuyunji | 0 |
0%
|
| 201 | Chililabombwe | 4 |
0.3%
|
| 202 | Chingola | 16 |
1.1%
|
| 203 | Kalulushi | 14 |
1%
|
| 204 | Kitwe | 50 |
3.4%
|
| 205 | Luanshya | 9 |
0.6%
|
| 206 | Lufwanyama | 1 |
0.1%
|
| 207 | Masaiti | 5 |
0.3%
|
| 208 | Mpongwe | 1 |
0.1%
|
| 209 | Mufulira | 13 |
0.9%
|
| 210 | Ndola | 72 |
4.9%
|
| 301 | Chadiza | 1 |
0.1%
|
| 302 | Chasefu | 4 |
0.3%
|
| 303 | Chipangali | 2 |
0.1%
|
| 304 | Chipata | 1 |
0.1%
|
| 305 | Kasenengwa | 79 |
5.4%
|
| 306 | Katete | 1 |
0.1%
|
| 307 | Lumezi | 4 |
0.3%
|
| 308 | Lundazi | 0 |
0%
|
| 309 | Lusangazi | 3 |
0.2%
|
| 310 | Mambwe | 0 |
0%
|
| 311 | Nyimba | 10 |
0.7%
|
| 312 | Petauke | 4 |
0.3%
|
| 313 | Sinda | 7 |
0.5%
|
| 314 | Vubwi | 2 |
0.1%
|
| 315 | 1 |
0.1%
|
|
| 401 | Chembe | 4 |
0.3%
|
| 402 | Chiengi | 1 |
0.1%
|
| 403 | Chifunabuli | 2 |
0.1%
|
| 404 | Chipili | 1 |
0.1%
|
| 405 | Kawambwa | 5 |
0.3%
|
| 406 | Lunga | 1 |
0.1%
|
| 407 | Mansa | 117 |
8%
|
| 408 | Milengi | 1 |
0.1%
|
| 409 | Mwansabombwe | 2 |
0.1%
|
| 410 | Mwense | 4 |
0.3%
|
| 411 | Nchelenge | 4 |
0.3%
|
| 412 | Samfya | 14 |
1%
|
| 501 | Chilanga | 7 |
0.5%
|
| 502 | Chirundu | 0 |
0%
|
| 503 | Chongwe | 6 |
0.4%
|
| 504 | Kafue | 6 |
0.4%
|
| 505 | Luangwa | 3 |
0.2%
|
| 506 | Lusaka | 115 |
7.9%
|
| 507 | Rufunsa | 3 |
0.2%
|
| 601 | Chama | 26 |
1.8%
|
| 602 | Chinsali | 11 |
0.8%
|
| 603 | Isoka | 2 |
0.1%
|
| 604 | Kanchibiya | 2 |
0.1%
|
| 605 | Lavushimanda | 9 |
0.6%
|
| 606 | Mafinga | 38 |
2.6%
|
| 607 | Mpika | 12 |
0.8%
|
| 608 | Nakonde | 5 |
0.3%
|
| 609 | Shiwamg'andu | 0 |
0%
|
| 701 | Chilubi | 1 |
0.1%
|
| 702 | Kaputa | 1 |
0.1%
|
| 703 | Kasama | 108 |
7.4%
|
| 704 | Lunte | 2 |
0.1%
|
| 705 | Lupososhi | 2 |
0.1%
|
| 706 | Luwingu | 2 |
0.1%
|
| 707 | Mbala | 11 |
0.8%
|
| 708 | Mporokoso | 1 |
0.1%
|
| 709 | Mpulungu | 12 |
0.8%
|
| 710 | Mungwi | 5 |
0.3%
|
| 711 | Nsama | 1 |
0.1%
|
| 712 | Senga Hill | 1 |
0.1%
|
| 801 | Chavuma | 1 |
0.1%
|
| 802 | Ikelenge | 1 |
0.1%
|
| 803 | Kabompo | 1 |
0.1%
|
| 804 | Kalumbila | 5 |
0.3%
|
| 805 | Kasempa | 3 |
0.2%
|
| 806 | Manyinga | 1 |
0.1%
|
| 807 | Mufumbwe | 1 |
0.1%
|
| 808 | Mushindano | 1 |
0.1%
|
| 809 | Mwinilunga | 1 |
0.1%
|
| 810 | Solwezi | 141 |
9.6%
|
| 811 | Zambezi | 3 |
0.2%
|
| 901 | Chikankanta | 2 |
0.1%
|
| 902 | Choma | 21 |
1.4%
|
| 903 | Gwembe | 2 |
0.1%
|
| 904 | Kalomo | 8 |
0.5%
|
| 905 | Kazungula | 5 |
0.3%
|
| 906 | Livingstone | 55 |
3.8%
|
| 907 | Mazabuka | 36 |
2.5%
|
| 908 | Monze | 10 |
0.7%
|
| 909 | Namwala | 0 |
0%
|
| 910 | Pemba | 2 |
0.1%
|
| 911 | Siavonga | 2 |
0.1%
|
| 912 | Sinazongwe | 6 |
0.4%
|
| 913 | Zimba | 1 |
0.1%
|
| 1001 | Kalabo | 2 |
0.1%
|
| 1002 | Kaoma | 8 |
0.5%
|
| 1003 | Limulunga | 4 |
0.3%
|
| 1004 | Luampa | 3 |
0.2%
|
| 1005 | Lukulu | 1 |
0.1%
|
| 1006 | Mitete | 1 |
0.1%
|
| 1007 | Mongu | 78 |
5.3%
|
| 1008 | Mulobezi | 4 |
0.3%
|
| 1009 | Mwandi | 5 |
0.3%
|
| 1010 | Nalolo | 1 |
0.1%
|
| 1011 | Nkeyema | 1 |
0.1%
|
| 1012 | Senanga | 9 |
0.6%
|
| 1013 | Sesheke | 18 |
1.2%
|
| 1014 | Shang'ombo | 2 |
0.1%
|
| 1015 | Sikongo | 2 |
0.1%
|
| 1016 | Sioma | 5 |
0.3%
|
| Sysmiss | 31 |
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.