2017/2018 Livestock and Aquaculture Census
Zambia, , 2017
Get MicrodataCreated on
Feb 16, 2026
Last modified
Feb 26, 2026
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- Data files
- Animal_Reproduction_Anonymized
- Asset_Anonymized
- bee_keeping_Annony
-
Cattle Raising
HH_Livestock_MGT_Anonymized - Crop_Final_Anonymized
- Demog_Anonymized
- Draught_Power_Anonymized
- Eggs_Anonymized
- Fish_Farming_Anonymized
- Fish_Farming_MGT_Anonymized
-
Goat Raising
HH_Livestock_MGT_Anonymized -
Herd Size
Cattle Goats
Sheep
Pig_Anonymized - HH_Final_Anonymized
- HH_SIZE_Anonymized
- Livestock_Final_Anonymized
- Livestock_MGT_Anonymized
- Milk_Production_Anonymized
- Population_by_BreedType_Anonymized
3. District (DIST)
Data file: Population_by_BreedType_Anonymized
Overview
Valid:
44828
Invalid:
0
Minimum:
-99
Maximum:
1016
Type:
Discrete
Decimal:
0
Start:
23
End:
26
Width:
4
Range:
-99 - 9999
Format:
Numeric
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -99 | 1 |
0%
|
|
| -93 | 1 |
0%
|
|
| -92 | 1 |
0%
|
|
| -82 | 1 |
0%
|
|
| -81 | 1 |
0%
|
|
| -65 | 1 |
0%
|
|
| -59 | 1 |
0%
|
|
| -58 | 1 |
0%
|
|
| -53 | 1 |
0%
|
|
| -41 | 2 |
0%
|
|
| -38 | 1 |
0%
|
|
| -37 | 1 |
0%
|
|
| -36 | 1 |
0%
|
|
| -35 | 2 |
0%
|
|
| -32 | 1 |
0%
|
|
| -27 | 1 |
0%
|
|
| -23 | 1 |
0%
|
|
| -21 | 1 |
0%
|
|
| -5 | 1 |
0%
|
|
| 0 | 2 |
0%
|
|
| 4 | 1 |
0%
|
|
| 9 | 1 |
0%
|
|
| 12 | 1 |
0%
|
|
| 17 | 1 |
0%
|
|
| 29 | 1 |
0%
|
|
| 34 | 2 |
0%
|
|
| 36 | 1 |
0%
|
|
| 39 | 2 |
0%
|
|
| 49 | 1 |
0%
|
|
| 51 | 1 |
0%
|
|
| 56 | 1 |
0%
|
|
| 71 | 1 |
0%
|
|
| 75 | 1 |
0%
|
|
| 78 | 1 |
0%
|
|
| 79 | 1 |
0%
|
|
| 86 | 1 |
0%
|
|
| 92 | 1 |
0%
|
|
| 101 | Chibombo | 579 |
1.3%
|
| 102 | Chisamba | 456 |
1%
|
| 103 | Chitambo | 326 |
0.7%
|
| 104 | Itezhi-tezhi | 295 |
0.7%
|
| 105 | Kabwe | 307 |
0.7%
|
| 106 | Kapiri Mposhi | 463 |
1%
|
| 107 | Luano | 356 |
0.8%
|
| 108 | Mkushi | 175 |
0.4%
|
| 109 | Mumbwa | 725 |
1.6%
|
| 110 | Ngabwe | 242 |
0.5%
|
| 111 | Serenje | 299 |
0.7%
|
| 118 | 1 |
0%
|
|
| 121 | 1 |
0%
|
|
| 125 | 1 |
0%
|
|
| 130 | 1 |
0%
|
|
| 131 | 1 |
0%
|
|
| 132 | 1 |
0%
|
|
| 134 | 1 |
0%
|
|
| 145 | 1 |
0%
|
|
| 201 | Chililabombwe | 233 |
0.5%
|
| 202 | Chingola | 225 |
0.5%
|
| 203 | Kalulushi | 159 |
0.4%
|
| 204 | Kitwe | 340 |
0.8%
|
| 205 | Luanshya | 212 |
0.5%
|
| 206 | Lufwanyama | 412 |
0.9%
|
| 207 | Masaiti | 372 |
0.8%
|
| 208 | Mpongwe | 416 |
0.9%
|
| 209 | Mufulira | 115 |
0.3%
|
| 210 | Ndola | 245 |
0.5%
|
| 301 | Chadiza | 765 |
1.7%
|
| 302 | Chipata | 1381 |
3.1%
|
| 303 | Katete | 544 |
1.2%
|
| 304 | Lundazi | 682 |
1.5%
|
| 305 | Mambwe | 443 |
1%
|
| 306 | Nyimba | 647 |
1.4%
|
| 307 | Petauke | 835 |
1.9%
|
| 308 | Sinda | 718 |
1.6%
|
| 309 | Vubwi | 769 |
1.7%
|
| 401 | Chembe | 263 |
0.6%
|
| 402 | Chiengi | 341 |
0.8%
|
| 403 | Chipili | 462 |
1%
|
| 404 | Kawambwa | 305 |
0.7%
|
| 405 | Lunga | 5 |
0%
|
| 406 | Mansa | 425 |
0.9%
|
| 407 | Milenge | 317 |
0.7%
|
| 408 | Mwansabombwe | 273 |
0.6%
|
| 409 | Mwense | 493 |
1.1%
|
| 410 | Nchelenge | 472 |
1.1%
|
| 411 | Samfya | 377 |
0.8%
|
| 501 | Chilanga | 266 |
0.6%
|
| 502 | Chilundu | 1190 |
2.7%
|
| 503 | Chongwe | 498 |
1.1%
|
| 504 | Kafue | 332 |
0.7%
|
| 505 | Luangwa | 1021 |
2.3%
|
| 506 | Lusaka | 65 |
0.1%
|
| 507 | Rufunsa | 592 |
1.3%
|
| 508 | Shibuyungi | 835 |
1.9%
|
| 601 | Chama | 308 |
0.7%
|
| 602 | Chinsali | 715 |
1.6%
|
| 603 | Isoka | 365 |
0.8%
|
| 604 | Mafinga | 382 |
0.9%
|
| 605 | Mpika | 372 |
0.8%
|
| 606 | Nakonde | 363 |
0.8%
|
| 607 | Shiwangandu | 521 |
1.2%
|
| 701 | Chilubi | 345 |
0.8%
|
| 702 | Kaputa | 241 |
0.5%
|
| 703 | Kasama | 311 |
0.7%
|
| 704 | Luwingu | 396 |
0.9%
|
| 705 | Mbala | 744 |
1.7%
|
| 706 | Mporokoso | 534 |
1.2%
|
| 707 | Mpulungu | 284 |
0.6%
|
| 708 | Mungwi | 368 |
0.8%
|
| 709 | Nsama | 309 |
0.7%
|
| 801 | Chavuma | 158 |
0.4%
|
| 802 | Ikelenge | 387 |
0.9%
|
| 803 | Kabompo | 442 |
1%
|
| 804 | Kasempa | 377 |
0.8%
|
| 805 | Manyinga | 487 |
1.1%
|
| 806 | Mufumbwe | 393 |
0.9%
|
| 807 | Mwinilunga | 705 |
1.6%
|
| 808 | Solwezi | 614 |
1.4%
|
| 809 | Zambezi | 386 |
0.9%
|
| 901 | Chikankata | 786 |
1.8%
|
| 902 | Choma | 820 |
1.8%
|
| 903 | Gwembe | 699 |
1.6%
|
| 904 | Kalomo | 1007 |
2.2%
|
| 905 | Kazungula | 621 |
1.4%
|
| 906 | Livingstone | 312 |
0.7%
|
| 907 | Mazabuka | 477 |
1.1%
|
| 908 | Monze | 927 |
2.1%
|
| 909 | Namwala | 706 |
1.6%
|
| 910 | Pemba | 682 |
1.5%
|
| 911 | Siavonga | 673 |
1.5%
|
| 912 | Sinazongwe | 757 |
1.7%
|
| 913 | Zimba | 353 |
0.8%
|
| 1001 | Kalabo | 155 |
0.3%
|
| 1002 | Kaoma | 277 |
0.6%
|
| 1003 | Limulunga | 85 |
0.2%
|
| 1004 | Luampa | 194 |
0.4%
|
| 1005 | Lukulu | 124 |
0.3%
|
| 1006 | Mitete | 118 |
0.3%
|
| 1007 | Mongu | 269 |
0.6%
|
| 1008 | Mulobezi | 367 |
0.8%
|
| 1009 | Mwandi | 223 |
0.5%
|
| 1010 | Nalolo | 152 |
0.3%
|
| 1011 | Nkeyema | 109 |
0.2%
|
| 1012 | Senanga | 351 |
0.8%
|
| 1013 | Sesheke | 195 |
0.4%
|
| 1014 | Shang'ombo | 235 |
0.5%
|
| 1015 | Sikongo | 85 |
0.2%
|
| 1016 | Sioma | 244 |
0.5%
|
| 9999 | Unassigned | 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.