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
466
Downloads
66
District (DIST)
Data file: Maternal Mortality
Overview
Valid:
3306
Invalid:
0
Minimum:
101
Maximum:
1007
Type:
Discrete
Decimal:
0
Width:
4
Range:
101 - 1007
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 58 |
1.8%
|
| 102 | Kabwe | 59 |
1.8%
|
| 103 | Kapiri-Mposhi | 63 |
1.9%
|
| 104 | Mkushi | 40 |
1.2%
|
| 105 | Mumbwa | 48 |
1.5%
|
| 106 | Serenje | 39 |
1.2%
|
| 201 | Chililabombwe | 25 |
0.8%
|
| 202 | Chingola | 45 |
1.4%
|
| 203 | Kalulushi | 30 |
0.9%
|
| 204 | Kitwe | 134 |
4.1%
|
| 205 | Luanshya | 47 |
1.4%
|
| 206 | Lufwanyama | 16 |
0.5%
|
| 207 | Masaiti | 38 |
1.1%
|
| 208 | Mpongwe | 20 |
0.6%
|
| 209 | Mufulira | 42 |
1.3%
|
| 210 | Ndola | 112 |
3.4%
|
| 301 | Chadiza | 31 |
0.9%
|
| 302 | Chama | 143 |
4.3%
|
| 303 | Chipata | 67 |
2%
|
| 304 | Katete | 103 |
3.1%
|
| 305 | Lundazi | 27 |
0.8%
|
| 306 | Mambwe | 36 |
1.1%
|
| 307 | Nyimba | 92 |
2.8%
|
| 308 | Petauke | 0 |
0%
|
| 401 | Chienge | 57 |
1.7%
|
| 402 | Kawambwa | 38 |
1.1%
|
| 403 | Mansa | 52 |
1.6%
|
| 404 | Milenge | 7 |
0.2%
|
| 405 | Mwense | 37 |
1.1%
|
| 406 | Nchelenge | 48 |
1.5%
|
| 407 | Samfya | 57 |
1.7%
|
| 501 | Chongwe | 42 |
1.3%
|
| 502 | Kafue | 38 |
1.1%
|
| 503 | Luangwa | 9 |
0.3%
|
| 504 | Lusaka | 420 |
12.7%
|
| 601 | 23 |
0.7%
|
|
| 602 | Chinsali | 39 |
1.2%
|
| 603 | Isoka | 14 |
0.4%
|
| 604 | Mafinga | 12 |
0.4%
|
| 605 | Mpika | 57 |
1.7%
|
| 606 | Nakonde | 24 |
0.7%
|
| 701 | Chilubi | 18 |
0.5%
|
| 702 | Kaputa | 50 |
1.5%
|
| 703 | Kasama | 50 |
1.5%
|
| 704 | Luwingu | 39 |
1.2%
|
| 705 | Mbala | 28 |
0.8%
|
| 706 | Mporokoso | 30 |
0.9%
|
| 707 | Mpulungu | 27 |
0.8%
|
| 708 | Mungwi | 33 |
1%
|
| 801 | Chavuma | 3 |
0.1%
|
| 802 | Ikelenge | 5 |
0.2%
|
| 803 | Kabompo | 12 |
0.4%
|
| 804 | Kasempa | 7 |
0.2%
|
| 805 | Mufumbwe | 5 |
0.2%
|
| 806 | Mwinilunga | 15 |
0.5%
|
| 807 | Solwezi | 76 |
2.3%
|
| 808 | Zambezi | 13 |
0.4%
|
| 901 | Choma | 64 |
1.9%
|
| 902 | Gwembe | 7 |
0.2%
|
| 903 | Itezhi-tezhi | 20 |
0.6%
|
| 904 | Kalomo | 45 |
1.4%
|
| 905 | Kazungula | 19 |
0.6%
|
| 906 | Livingstone | 39 |
1.2%
|
| 907 | Mazabuka | 48 |
1.5%
|
| 908 | Monze | 33 |
1%
|
| 909 | Namwala | 21 |
0.6%
|
| 910 | Siavonga | 14 |
0.4%
|
| 911 | Sinazongwe | 19 |
0.6%
|
| 1001 | Kalabo | 34 |
1%
|
| 1002 | Kaoma | 62 |
1.9%
|
| 1003 | Lukulu | 27 |
0.8%
|
| 1004 | Mongu | 75 |
2.3%
|
| 1005 | Senanga | 33 |
1%
|
| 1006 | Sesheke | 14 |
0.4%
|
| 1007 | Shang'ombo | 32 |
1%
|
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.