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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: Milk_Production_Anonymized

Overview

Valid: 47967
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 717
1.5%
102 Chisamba 624
1.3%
103 Chitambo 287
0.6%
104 Itezhi-tezhi 364
0.8%
105 Kabwe 337
0.7%
106 Kapiri Mposhi 570
1.2%
107 Luano 449
0.9%
108 Mkushi 167
0.3%
109 Mumbwa 942
2%
110 Ngabwe 206
0.4%
111 Serenje 224
0.5%
201 Chililabombwe 216
0.5%
202 Chingola 233
0.5%
203 Kalulushi 147
0.3%
204 Kitwe 293
0.6%
205 Luanshya 179
0.4%
206 Lufwanyama 400
0.8%
207 Masaiti 340
0.7%
208 Mpongwe 414
0.9%
209 Mufulira 119
0.2%
210 Ndola 189
0.4%
301 Chadiza 824
1.7%
302 Chipata 1451
3%
303 Katete 547
1.1%
304 Lundazi 510
1.1%
305 Mambwe 513
1.1%
306 Nyimba 699
1.5%
307 Petauke 899
1.9%
308 Sinda 738
1.5%
309 Vubwi 842
1.8%
401 Chembe 262
0.5%
402 Chiengi 341
0.7%
403 Chipili 470
1%
404 Kawambwa 329
0.7%
405 Lunga 5
0%
406 Mansa 358
0.7%
407 Milenge 247
0.5%
408 Mwansabombwe 253
0.5%
409 Mwense 462
1%
410 Nchelenge 450
0.9%
411 Samfya 363
0.8%
501 Chilanga 328
0.7%
502 Chilundu 1549
3.2%
503 Chongwe 585
1.2%
504 Kafue 390
0.8%
505 Luangwa 1011
2.1%
506 Lusaka 62
0.1%
507 Rufunsa 657
1.4%
508 Shibuyungi 1111
2.3%
601 Chama 134
0.3%
602 Chinsali 685
1.4%
603 Isoka 310
0.6%
604 Mafinga 420
0.9%
605 Mpika 333
0.7%
606 Nakonde 385
0.8%
607 Shiwangandu 449
0.9%
701 Chilubi 349
0.7%
702 Kaputa 220
0.5%
703 Kasama 196
0.4%
704 Luwingu 360
0.8%
705 Mbala 794
1.7%
706 Mporokoso 425
0.9%
707 Mpulungu 234
0.5%
708 Mungwi 279
0.6%
709 Nsama 301
0.6%
801 Chavuma 175
0.4%
802 Ikelenge 417
0.9%
803 Kabompo 410
0.9%
804 Kasempa 323
0.7%
805 Manyinga 454
0.9%
806 Mufumbwe 393
0.8%
807 Mwinilunga 761
1.6%
808 Solwezi 596
1.2%
809 Zambezi 407
0.8%
901 Chikankata 1086
2.3%
902 Choma 1146
2.4%
903 Gwembe 879
1.8%
904 Kalomo 1539
3.2%
905 Kazungula 782
1.6%
906 Livingstone 349
0.7%
907 Mazabuka 611
1.3%
908 Monze 1241
2.6%
909 Namwala 883
1.8%
910 Pemba 948
2%
911 Siavonga 918
1.9%
912 Sinazongwe 995
2.1%
913 Zimba 443
0.9%
1001 Kalabo 109
0.2%
1002 Kaoma 180
0.4%
1003 Limulunga 57
0.1%
1004 Luampa 172
0.4%
1005 Lukulu 94
0.2%
1006 Mitete 98
0.2%
1007 Mongu 185
0.4%
1008 Mulobezi 386
0.8%
1009 Mwandi 227
0.5%
1010 Nalolo 106
0.2%
1011 Nkeyema 90
0.2%
1012 Senanga 284
0.6%
1013 Sesheke 184
0.4%
1014 Shang'ombo 182
0.4%
1015 Sikongo 55
0.1%
1016 Sioma 255
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.
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