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
68739
Downloads
885
- Data files
- Child
- Household
- Household_Listing
- Woman
District (hi1a)
Data file: Household_Listing
Overview
Valid:
42534
Invalid:
0
Type:
Discrete
Start:
18
End:
20
Width:
3
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 971 |
2.3%
|
| 102 | Kabwe | 1453 |
3.4%
|
| 103 | Kapiri Mposhi | 693 |
1.6%
|
| 104 | Mkushi | 315 |
0.7%
|
| 105 | Mumbwa | 740 |
1.7%
|
| 106 | Serenje | 400 |
0.9%
|
| 201 | Chililabombwe | 413 |
1%
|
| 202 | Chingola | 772 |
1.8%
|
| 203 | Kalulushi | 148 |
0.3%
|
| 204 | Kitwe | 1233 |
2.9%
|
| 205 | Luanshya | 706 |
1.7%
|
| 206 | Lufwanyama | 78 |
0.2%
|
| 207 | Masaiti | 324 |
0.8%
|
| 208 | Mpongwe | 284 |
0.7%
|
| 209 | Mufulira | 720 |
1.7%
|
| 210 | Ndola | 1199 |
2.8%
|
| 301 | Chadiza | 222 |
0.5%
|
| 302 | Chama | 320 |
0.8%
|
| 303 | Chipata | 1465 |
3.4%
|
| 304 | Katete | 699 |
1.6%
|
| 305 | Lundazi | 601 |
1.4%
|
| 306 | Mambwe | 222 |
0.5%
|
| 307 | Nyimba | 0 |
0%
|
| 308 | Petauke | 867 |
2%
|
| 401 | Chiengi | 206 |
0.5%
|
| 402 | Kawambwa | 408 |
1%
|
| 403 | Mansa | 1353 |
3.2%
|
| 404 | Milenge | 122 |
0.3%
|
| 405 | Mwense | 430 |
1%
|
| 406 | Nchelenge | 482 |
1.1%
|
| 407 | Samfya | 873 |
2.1%
|
| 501 | Chongwe | 794 |
1.9%
|
| 502 | Kafue | 1076 |
2.5%
|
| 503 | Luangwa | 179 |
0.4%
|
| 504 | Lusaka | 4416 |
10.4%
|
| 601 | Chilubi | 200 |
0.5%
|
| 602 | Chinsali | 449 |
1.1%
|
| 603 | Isoka | 307 |
0.7%
|
| 604 | Kaputa | 203 |
0.5%
|
| 605 | Kasama | 1046 |
2.5%
|
| 606 | Luwingu | 293 |
0.7%
|
| 607 | Mbala | 525 |
1.2%
|
| 608 | Mpika | 867 |
2%
|
| 609 | Mporokoso | 83 |
0.2%
|
| 610 | Mpulungu | 231 |
0.5%
|
| 611 | Mungwi | 323 |
0.8%
|
| 612 | Nakonde | 169 |
0.4%
|
| 701 | Chavuma | 262 |
0.6%
|
| 702 | Kabompo | 464 |
1.1%
|
| 703 | Kasempa | 68 |
0.2%
|
| 704 | Mufumbwe | 259 |
0.6%
|
| 705 | Mwinilunga | 659 |
1.5%
|
| 706 | Solwezi | 1508 |
3.5%
|
| 707 | Zambezi | 426 |
1%
|
| 801 | Choma | 701 |
1.6%
|
| 802 | Gwembe | 359 |
0.8%
|
| 803 | Itezi-tezi | 407 |
1%
|
| 804 | Kalomo | 772 |
1.8%
|
| 805 | Kazungula | 91 |
0.2%
|
| 806 | Livingstone | 818 |
1.9%
|
| 807 | Mazabuka | 771 |
1.8%
|
| 808 | Monze | 593 |
1.4%
|
| 809 | Namwala | 117 |
0.3%
|
| 810 | Siavonga | 92 |
0.2%
|
| 811 | Sinazongwe | 301 |
0.7%
|
| 901 | Kalabo | 910 |
2.1%
|
| 902 | Kaoma | 661 |
1.6%
|
| 903 | Lukulu | 367 |
0.9%
|
| 904 | Mongu | 1007 |
2.4%
|
| 905 | Senanga | 505 |
1.2%
|
| 906 | Sesheke | 225 |
0.5%
|
| 907 | Shangombo | 311 |
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.