2010 LIVING CONDITIONS AND MONITORING SURVEY VI
5TH EDITION
Zambia, 2010
Get Microdata
Reference ID
ZMB-ZSA-LCMS-2010-V1.0
Producer(s)
CENTRAL STATISTICAL OFFICE
Metadata
Created on
Jan 17, 2026
Last modified
Jan 27, 2026
Page views
2872
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15
- Data files
-
Access Health -
Copy -
Aggregated
Expenditure_PovertyHousehold
- Copy -
CHILD_HEALTH_REC_clean
- Copy -
COPING_STRATEGIES_REC_clean
- Copy -
DEVELOPMENT_ISSUES_REC_clean
- Copy -
HH_ACCESS_REC_clean
- Copy -
HH_AG_PROD1_REC_clean
- Copy -
HH_ASSETS_REC_clean
- Copy -
HH_CROP_INCOME_REC_clean
- Copy - HH_LIVESTOCK_INCOME_REC_clean
- HH_lIVESTOCK_REC_clean
-
POVERTY
INDIVIDUALS
District (district)
Data file: Access Health - Copy
Overview
Valid:
160157
Invalid:
0
Minimum:
101
Maximum:
504
Type:
Discrete
Decimal:
0
Width:
3
Range:
101 - 907
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 5440 |
3.4%
|
| 102 | Kabwe | 8977 |
5.6%
|
| 103 | Kapiri-mposhi | 4048 |
2.5%
|
| 104 | Mkushi | 4736 |
3%
|
| 105 | Mumbwa | 3712 |
2.3%
|
| 106 | Serenje | 2880 |
1.8%
|
| 201 | Chililabombwe | 5776 |
3.6%
|
| 202 | Chingola | 5808 |
3.6%
|
| 203 | Kalulushi | 4961 |
3.1%
|
| 204 | Kitwe | 11216 |
7%
|
| 205 | Luanshya | 5440 |
3.4%
|
| 206 | Lufwanyama | 1440 |
0.9%
|
| 207 | Masaiti | 3680 |
2.3%
|
| 208 | Mpongwe | 2544 |
1.6%
|
| 209 | Mufulira | 5089 |
3.2%
|
| 210 | Ndola | 10720 |
6.7%
|
| 301 | Chadiza | 1760 |
1.1%
|
| 302 | Chama | 1600 |
1%
|
| 303 | Chipata | 7184 |
4.5%
|
| 304 | Katete | 4480 |
2.8%
|
| 305 | Lundazi | 4800 |
3%
|
| 306 | Mambwe | 1760 |
1.1%
|
| 307 | Nyimba | 1600 |
1%
|
| 308 | Petauke | 4832 |
3%
|
| 401 | Chienge | 1440 |
0.9%
|
| 402 | Kawambwa | 4800 |
3%
|
| 403 | Mansa | 4944 |
3.1%
|
| 404 | Milenge | 1584 |
1%
|
| 405 | Mwense | 2720 |
1.7%
|
| 406 | Nchelenge | 2880 |
1.8%
|
| 407 | Samfya | 3520 |
2.2%
|
| 501 | Chongwe | 4336 |
2.7%
|
| 502 | Kafue | 6416 |
4%
|
| 503 | Luangwa | 2720 |
1.7%
|
| 504 | Lusaka | 10314 |
6.4%
|
| 601 | Chilubi | 0 |
0%
|
| 602 | Chinsali | 0 |
0%
|
| 603 | Isoka | 0 |
0%
|
| 604 | Kaputa | 0 |
0%
|
| 605 | Kasama | 0 |
0%
|
| 606 | Luwingu | 0 |
0%
|
| 607 | Mbala | 0 |
0%
|
| 608 | Mpika | 0 |
0%
|
| 609 | Mporokoso | 0 |
0%
|
| 610 | Mpulungu | 0 |
0%
|
| 611 | Mungwi | 0 |
0%
|
| 612 | Nakonde | 0 |
0%
|
| 701 | Chavuma | 0 |
0%
|
| 702 | Kabompo | 0 |
0%
|
| 703 | Kasempa | 0 |
0%
|
| 704 | Mufumbwe | 0 |
0%
|
| 705 | Mwinilunga | 0 |
0%
|
| 706 | Solwezi | 0 |
0%
|
| 707 | Zambezi | 0 |
0%
|
| 801 | Choma | 0 |
0%
|
| 802 | Gwembe | 0 |
0%
|
| 803 | Itezhi-tezhi | 0 |
0%
|
| 804 | Kalomo | 0 |
0%
|
| 805 | Kazungula | 0 |
0%
|
| 806 | Livingstone | 0 |
0%
|
| 807 | Mazabuka | 0 |
0%
|
| 808 | Monze | 0 |
0%
|
| 809 | Namwala | 0 |
0%
|
| 810 | Siavonga | 0 |
0%
|
| 811 | Sinazongwe | 0 |
0%
|
| 901 | Kalabo | 0 |
0%
|
| 902 | Kaoma | 0 |
0%
|
| 903 | Lukulu | 0 |
0%
|
| 904 | Mongu | 0 |
0%
|
| 905 | Senanga | 0 |
0%
|
| 906 | Sesheke | 0 |
0%
|
| 907 | Shang'ombo | 0 |
0%
|
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.