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2017/2018 Livestock and Aquaculture Census

Zambia, , 2017
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Reference ID
ZMB-CSO-LAC-2017-v1.0
Producer(s)
Central Statistical Office, Ministry of Fisheries and Livestock
Metadata
DDI/XML JSON
Created on
Feb 16, 2026
Last modified
Feb 26, 2026
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3. District (DIST)

Data file: Goat Raising HH_Livestock_MGT_Anonymized

Overview

Valid: 30828
Invalid: 0
Minimum: 101
Maximum: 1016
Type: Continuous
Decimal: 0
Width: 4
Range: 101 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chibombo 406
1.3%
102 Chisamba 365
1.2%
103 Chitambo 245
0.8%
104 Itezhi-tezhi 137
0.4%
105 Kabwe 222
0.7%
106 Kapiri Mposhi 331
1.1%
107 Luano 242
0.8%
108 Mkushi 98
0.3%
109 Mumbwa 539
1.7%
110 Ngabwe 85
0.3%
111 Serenje 203
0.7%
201 Chililabombwe 207
0.7%
202 Chingola 200
0.6%
203 Kalulushi 105
0.3%
204 Kitwe 229
0.7%
205 Luanshya 108
0.4%
206 Lufwanyama 339
1.1%
207 Masaiti 283
0.9%
208 Mpongwe 240
0.8%
209 Mufulira 106
0.3%
210 Ndola 124
0.4%
301 Chadiza 373
1.2%
302 Chipata 797
2.6%
303 Katete 200
0.6%
304 Lundazi 187
0.6%
305 Mambwe 289
0.9%
306 Nyimba 382
1.2%
307 Petauke 283
0.9%
308 Sinda 234
0.8%
309 Vubwi 478
1.6%
401 Chembe 259
0.8%
402 Chiengi 337
1.1%
403 Chipili 434
1.4%
404 Kawambwa 290
0.9%
405 Lunga 5
0%
406 Mansa 313
1%
407 Milenge 235
0.8%
408 Mwansabombwe 252
0.8%
409 Mwense 460
1.5%
410 Nchelenge 432
1.4%
411 Samfya 332
1.1%
501 Chilanga 201
0.7%
502 Chilundu 1027
3.3%
503 Chongwe 359
1.2%
504 Kafue 297
1%
505 Luangwa 960
3.1%
506 Lusaka 48
0.2%
507 Rufunsa 472
1.5%
508 Shibuyungi 654
2.1%
601 Chama 128
0.4%
602 Chinsali 525
1.7%
603 Isoka 237
0.8%
604 Mafinga 250
0.8%
605 Mpika 256
0.8%
606 Nakonde 243
0.8%
607 Shiwangandu 392
1.3%
701 Chilubi 327
1.1%
702 Kaputa 218
0.7%
703 Kasama 177
0.6%
704 Luwingu 321
1%
705 Mbala 566
1.8%
706 Mporokoso 389
1.3%
707 Mpulungu 228
0.7%
708 Mungwi 227
0.7%
709 Nsama 301
1%
801 Chavuma 109
0.4%
802 Ikelenge 338
1.1%
803 Kabompo 312
1%
804 Kasempa 305
1%
805 Manyinga 329
1.1%
806 Mufumbwe 291
0.9%
807 Mwinilunga 623
2%
808 Solwezi 534
1.7%
809 Zambezi 275
0.9%
901 Chikankata 688
2.2%
902 Choma 627
2%
903 Gwembe 540
1.8%
904 Kalomo 787
2.6%
905 Kazungula 335
1.1%
906 Livingstone 244
0.8%
907 Mazabuka 371
1.2%
908 Monze 665
2.2%
909 Namwala 408
1.3%
910 Pemba 543
1.8%
911 Siavonga 582
1.9%
912 Sinazongwe 594
1.9%
913 Zimba 256
0.8%
1001 Kalabo 32
0.1%
1002 Kaoma 128
0.4%
1003 Limulunga 11
0%
1004 Luampa 103
0.3%
1005 Lukulu 44
0.1%
1006 Mitete 23
0.1%
1007 Mongu 64
0.2%
1008 Mulobezi 155
0.5%
1009 Mwandi 88
0.3%
1010 Nalolo 24
0.1%
1011 Nkeyema 39
0.1%
1012 Senanga 96
0.3%
1013 Sesheke 41
0.1%
1014 Shang'ombo 15
0%
1015 Sikongo 3
0%
1016 Sioma 17
0.1%
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.
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