Health Results-Based Financing Impact Evaluation, Baseline and Endline Household Surveys 2011-2015
Zambia, 2011 - 2015
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Reference ID
ZMB_2011-2014_HRBFIE-HH_v01_M
Producer(s)
Jed Friedman
Collection(s)
Metadata
Created on
Jun 27, 2023
Last modified
Jun 27, 2023
Page views
30626
Downloads
239
2. District (dist)
Data file: livestock_baseline
Overview
Valid:
30640
Invalid:
0
Minimum:
101
Maximum:
810
Type:
Discrete
Decimal:
0
Width:
13
Range:
101 - 810
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 101 | Chibombo | 1700 |
5.5%
|
| 102 | Kabwe urban | 0 |
0%
|
| 103 | Kapiri Mposhi | 1700 |
5.5%
|
| 104 | Mkushi | 0 |
0%
|
| 105 | Mumbwa | 1800 |
5.9%
|
| 106 | Serenje | 0 |
0%
|
| 201 | Chililabombwe | 0 |
0%
|
| 202 | Chingola | 0 |
0%
|
| 203 | Kalulushi | 0 |
0%
|
| 204 | Kitwe | 0 |
0%
|
| 205 | Luanshya | 0 |
0%
|
| 206 | Lufwanyama | 0 |
0%
|
| 207 | Masaiti | 0 |
0%
|
| 208 | Mpongwe | 0 |
0%
|
| 209 | Mufulira | 0 |
0%
|
| 210 | Ndola urban | 0 |
0%
|
| 301 | Chadiza | 1700 |
5.5%
|
| 302 | Chama | 0 |
0%
|
| 303 | Chipata | 0 |
0%
|
| 304 | Katete | 0 |
0%
|
| 305 | Lundazi | 1700 |
5.5%
|
| 306 | Mambwe | 0 |
0%
|
| 307 | Nyimba | 1700 |
5.5%
|
| 308 | Petauke | 0 |
0%
|
| 401 | Chienge | 0 |
0%
|
| 402 | Kawambwa | 1700 |
5.5%
|
| 403 | Mansa | 0 |
0%
|
| 404 | Milenge | 1700 |
5.5%
|
| 405 | Mwense | 1700 |
5.5%
|
| 406 | Nchelenge | 0 |
0%
|
| 407 | Samfya | 0 |
0%
|
| 501 | Chongwe | 0 |
0%
|
| 502 | Kafue | 0 |
0%
|
| 503 | Luangwa | 0 |
0%
|
| 504 | Lusaka urban | 0 |
0%
|
| 601 | Chilubi | 1700 |
5.5%
|
| 602 | Chinsali | 1690 |
5.5%
|
| 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 | 1700 |
5.5%
|
| 610 | mpulungu | 0 |
0%
|
| 611 | Mungwi | 0 |
0%
|
| 612 | Nakonde | 0 |
0%
|
| 701 | Chavuma | 1700 |
5.5%
|
| 702 | Kabompo | 0 |
0%
|
| 703 | Kasempa | 0 |
0%
|
| 704 | Mufumbwe | 1700 |
5.5%
|
| 705 | Mwinilunga | 1700 |
5.5%
|
| 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 | 1670 |
5.5%
|
| 808 | Monze | 0 |
0%
|
| 809 | Namwala | 1700 |
5.5%
|
| 810 | Saivonga | 1680 |
5.5%
|
| 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 | Shangombo | 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.