Multiple Indicator Cluster Survey 1999
Zambia, 1999
Get Microdata
Reference ID
ZMB_1999_MICS_v01_M
Producer(s)
Central Statistical Office Labour Division, Food Security, Health and Nutrition Information System
Collection(s)
Created on
Jul 20, 2011
Last modified
Sep 26, 2013
Page views
66833
Downloads
880
- Data files
- Child
- Household
- Household_Listing
- Woman
District (chclnob)
Data file: Child
Overview
Valid:
6142
Invalid:
0
Type:
Discrete
Start:
35
End:
37
Width:
3
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 156 |
2.5%
|
| 102 | Kabwe | 196 |
3.2%
|
| 103 | Kapiri Mposhi | 96 |
1.6%
|
| 104 | Mkushi | 54 |
0.9%
|
| 105 | Mumbwa | 135 |
2.2%
|
| 106 | Serenje | 59 |
1%
|
| 201 | Chililabombwe | 70 |
1.1%
|
| 202 | Chingola | 111 |
1.8%
|
| 203 | Kalulushi | 16 |
0.3%
|
| 204 | Kitwe | 156 |
2.5%
|
| 205 | Luanshya | 110 |
1.8%
|
| 206 | Lufwanyama | 9 |
0.1%
|
| 207 | Masaiti | 52 |
0.8%
|
| 208 | Mpongwe | 55 |
0.9%
|
| 209 | Mufulira | 90 |
1.5%
|
| 210 | Ndola | 183 |
3%
|
| 301 | Chadiza | 19 |
0.3%
|
| 302 | Chama | 54 |
0.9%
|
| 303 | Chipata | 223 |
3.6%
|
| 304 | Katete | 113 |
1.8%
|
| 305 | Lundazi | 97 |
1.6%
|
| 306 | Mambwe | 32 |
0.5%
|
| 307 | Nyimba | 0 |
0%
|
| 308 | Petauke | 132 |
2.1%
|
| 401 | Chiengi | 34 |
0.6%
|
| 402 | Kawambwa | 54 |
0.9%
|
| 403 | Mansa | 177 |
2.9%
|
| 404 | Milenge | 18 |
0.3%
|
| 405 | Mwense | 63 |
1%
|
| 406 | Nchelenge | 78 |
1.3%
|
| 407 | Samfya | 148 |
2.4%
|
| 501 | Chongwe | 121 |
2%
|
| 502 | Kafue | 115 |
1.9%
|
| 503 | Luangwa | 26 |
0.4%
|
| 504 | Lusaka | 604 |
9.8%
|
| 601 | Chilubi | 42 |
0.7%
|
| 602 | Chinsali | 74 |
1.2%
|
| 603 | Isoka | 52 |
0.8%
|
| 604 | Kaputa | 30 |
0.5%
|
| 605 | Kasama | 150 |
2.4%
|
| 606 | Luwingu | 39 |
0.6%
|
| 607 | Mbala | 80 |
1.3%
|
| 608 | Mpika | 125 |
2%
|
| 609 | Mporokoso | 16 |
0.3%
|
| 610 | Mpulungu | 42 |
0.7%
|
| 611 | Mungwi | 48 |
0.8%
|
| 612 | Nakonde | 22 |
0.4%
|
| 701 | Chavuma | 40 |
0.7%
|
| 702 | Kabompo | 55 |
0.9%
|
| 703 | Kasempa | 10 |
0.2%
|
| 704 | Mufumbwe | 36 |
0.6%
|
| 705 | Mwinilunga | 102 |
1.7%
|
| 706 | Solwezi | 209 |
3.4%
|
| 707 | Zambezi | 56 |
0.9%
|
| 801 | Choma | 119 |
1.9%
|
| 802 | Gwembe | 60 |
1%
|
| 803 | Itezi-tezi | 41 |
0.7%
|
| 804 | Kalomo | 143 |
2.3%
|
| 805 | Kazungula | 16 |
0.3%
|
| 806 | Livingstone | 81 |
1.3%
|
| 807 | Mazabuka | 112 |
1.8%
|
| 808 | Monze | 90 |
1.5%
|
| 809 | Namwala | 18 |
0.3%
|
| 810 | Siavonga | 22 |
0.4%
|
| 811 | Sinazongwe | 43 |
0.7%
|
| 901 | Kalabo | 128 |
2.1%
|
| 902 | Kaoma | 87 |
1.4%
|
| 903 | Lukulu | 48 |
0.8%
|
| 904 | Mongu | 107 |
1.7%
|
| 905 | Senanga | 75 |
1.2%
|
| 906 | Sesheke | 38 |
0.6%
|
| 907 | Shangombo | 30 |
0.5%
|
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.