| Value |
Category |
| 101 |
Chibombo |
| 102 |
Kabwe |
| 103 |
Kapiri Mposhi |
| 104 |
Mkushi |
| 105 |
Mumbwa |
| 106 |
Serenje |
| 201 |
Chililabombwe |
| 202 |
Chingola |
| 203 |
Kalulushi |
| 204 |
Kitwe |
| 205 |
Luanshya |
| 206 |
Lufwanyama |
| 207 |
Masaiti |
| 208 |
Mpongwe |
| 209 |
Mufulira |
| 210 |
Ndola |
| 301 |
Chadiza |
| 302 |
Chipata |
| 303 |
Katete |
| 304 |
Lundazi |
| 305 |
Mambwe |
| 306 |
Nyimba |
| 307 |
Petauke |
| 401 |
Chiengi |
| 402 |
Kawambwa |
| 403 |
Mansa |
| 404 |
Milenge |
| 405 |
Mwense |
| 406 |
Nchelenge |
| 407 |
Samfya |
| 501 |
Chongwe |
| 502 |
Kafue |
| 503 |
Luangwa |
| 504 |
Lusaka |
| 601 |
Chama |
| 602 |
Chinsali |
| 603 |
Isoka |
| 604 |
Mafinga |
| 605 |
Mpika |
| 606 |
Nakonde |
| 701 |
Chilubi |
| 702 |
Kaputa |
| 703 |
Kasama |
| 704 |
Luwingu |
| 705 |
Mbala |
| 706 |
Mporokoso |
| 707 |
Mpulungu |
| 708 |
Mungwi |
| 801 |
Chavuma |
| 802 |
Ikelenge |
| 803 |
Kabompo |
| 804 |
Kasempa |
| 805 |
Mufumbwe |
| 806 |
Mwinilunga |
| 807 |
Solwezi |
| 808 |
Zambezi |
| 901 |
Choma |
| 902 |
Gwembe |
| 903 |
Itezhi-tezhi |
| 904 |
Kalomo |
| 905 |
Kazungula |
| 906 |
Livingstone |
| 907 |
Mazabuka |
| 908 |
Monze |
| 909 |
Namwala |
| 910 |
Siavonga |
| 911 |
Sinazongwe |
| 1001 |
Kalabo |
| 1002 |
Kaoma |
| 1003 |
Lukulu |
| 1004 |
Mongu |
| 1005 |
Senanga |
| 1006 |
Sesheke |
| 1007 |
Shang'ombo |
| 1009 |
Sioma |
| Sysmiss |
|
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.