2010 CENSUS OF POPULATION AND HOUSING
5th Edition
Zambia, 2010
Get Microdata
Reference ID
ZMB-ZSA-CPH-2010-V1.0
Producer(s)
Central Statistical Office
Metadata
Created on
Jan 15, 2026
Last modified
Sep 29, 2026
Page views
480
Downloads
66
District (DIST)
Data file: Housing Characteristics
Overview
Valid:
55871
Invalid:
0
Minimum:
101
Maximum:
1007
Type:
Continuous
Decimal:
0
Width:
4
Range:
101 - 1007
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 1183 |
2.1%
|
| 102 | Kabwe | 929 |
1.7%
|
| 103 | Kapiri-Mposhi | 1049 |
1.9%
|
| 104 | Mkushi | 669 |
1.2%
|
| 105 | Mumbwa | 887 |
1.6%
|
| 106 | Serenje | 673 |
1.2%
|
| 201 | Chililabombwe | 396 |
0.7%
|
| 202 | Chingola | 913 |
1.6%
|
| 203 | Kalulushi | 450 |
0.8%
|
| 204 | Kitwe | 2146 |
3.9%
|
| 205 | Luanshya | 652 |
1.2%
|
| 206 | Lufwanyama | 354 |
0.6%
|
| 207 | Masaiti | 474 |
0.9%
|
| 208 | Mpongwe | 410 |
0.7%
|
| 209 | Mufulira | 681 |
1.2%
|
| 210 | Ndola | 1920 |
3.5%
|
| 301 | Chadiza | 443 |
0.8%
|
| 302 | Chama | 1910 |
3.4%
|
| 303 | Chipata | 1025 |
1.8%
|
| 304 | Katete | 1359 |
2.5%
|
| 305 | Lundazi | 310 |
0.6%
|
| 306 | Mambwe | 376 |
0.7%
|
| 307 | Nyimba | 1301 |
2.3%
|
| 308 | Petauke | 0 |
0%
|
| 401 | Chienge | 589 |
1.1%
|
| 402 | Kawambwa | 618 |
1.1%
|
| 403 | Mansa | 1062 |
1.9%
|
| 404 | Milenge | 176 |
0.3%
|
| 405 | Mwense | 599 |
1.1%
|
| 406 | Nchelenge | 772 |
1.4%
|
| 407 | Samfya | 1028 |
1.9%
|
| 501 | Chongwe | 856 |
1.5%
|
| 502 | Kafue | 1004 |
1.8%
|
| 503 | Luangwa | 110 |
0.2%
|
| 504 | Lusaka | 7940 |
14.3%
|
| 602 | Chinsali | 601 |
1.1%
|
| 603 | Isoka | 356 |
0.6%
|
| 604 | Mafinga | 317 |
0.6%
|
| 605 | Mpika | 887 |
1.6%
|
| 606 | Nakonde | 538 |
1%
|
| 701 | Chilubi | 386 |
0.7%
|
| 702 | Kaputa | 538 |
1%
|
| 703 | Kasama | 972 |
1.8%
|
| 704 | Luwingu | 511 |
0.9%
|
| 705 | Mbala | 833 |
1.5%
|
| 706 | Mporokoso | 427 |
0.8%
|
| 707 | Mpulungu | 471 |
0.8%
|
| 708 | Mungwi | 660 |
1.2%
|
| 801 | Chavuma | 147 |
0.3%
|
| 802 | Ikelenge | 107 |
0.2%
|
| 803 | Kabompo | 394 |
0.7%
|
| 804 | Kasempa | 303 |
0.5%
|
| 805 | Mufumbwe | 205 |
0.4%
|
| 806 | Mwinilunga | 387 |
0.7%
|
| 807 | Solwezi | 1044 |
1.9%
|
| 808 | Zambezi | 330 |
0.6%
|
| 901 | Choma | 907 |
1.6%
|
| 902 | Gwembe | 197 |
0.4%
|
| 903 | Itezhi-tezhi | 254 |
0.5%
|
| 904 | Kalomo | 881 |
1.6%
|
| 905 | Kazungula | 409 |
0.7%
|
| 906 | Livingstone | 629 |
1.1%
|
| 907 | Mazabuka | 908 |
1.6%
|
| 908 | Monze | 707 |
1.3%
|
| 909 | Namwala | 373 |
0.7%
|
| 910 | Siavonga | 367 |
0.7%
|
| 911 | Sinazongwe | 401 |
0.7%
|
| 1001 | Kalabo | 515 |
0.9%
|
| 1002 | Kaoma | 756 |
1.4%
|
| 1003 | Lukulu | 334 |
0.6%
|
| 1004 | Mongu | 739 |
1.3%
|
| 1005 | Senanga | 501 |
0.9%
|
| 1006 | Sesheke | 454 |
0.8%
|
| 1007 | Shang'ombo | 413 |
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.