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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: Fish_Farming_MGT_Anonymized

Overview

Valid: 806
Invalid: 0
Minimum: 101
Maximum: 1015
Type: Continuous
Decimal: 0
Width: 4
Range: 101 - 9999
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chibombo 4
0.5%
102 Chisamba 5
0.6%
103 Chitambo 4
0.5%
104 Itezhi-tezhi 2
0.2%
105 Kabwe 7
0.9%
106 Kapiri Mposhi 1
0.1%
107 Luano 4
0.5%
108 Mkushi 4
0.5%
109 Mumbwa 11
1.4%
110 Ngabwe 2
0.2%
111 Serenje 3
0.4%
201 Chililabombwe 4
0.5%
202 Chingola 18
2.2%
203 Kalulushi 14
1.7%
204 Kitwe 19
2.4%
205 Luanshya 6
0.7%
206 Lufwanyama 4
0.5%
207 Masaiti 9
1.1%
208 Mpongwe 2
0.2%
209 Mufulira 10
1.2%
210 Ndola 25
3.1%
301 Chadiza 9
1.1%
302 Chipata 6
0.7%
303 Katete 0
0%
304 Lundazi 7
0.9%
305 Mambwe 7
0.9%
306 Nyimba 2
0.2%
307 Petauke 6
0.7%
308 Sinda 8
1%
309 Vubwi 2
0.2%
401 Chembe 0
0%
402 Chiengi 3
0.4%
403 Chipili 9
1.1%
404 Kawambwa 21
2.6%
405 Lunga 0
0%
406 Mansa 39
4.8%
407 Milenge 1
0.1%
408 Mwansabombwe 1
0.1%
409 Mwense 1
0.1%
410 Nchelenge 4
0.5%
411 Samfya 10
1.2%
501 Chilanga 10
1.2%
502 Chilundu 1
0.1%
503 Chongwe 8
1%
504 Kafue 3
0.4%
505 Luangwa 4
0.5%
506 Lusaka 7
0.9%
507 Rufunsa 10
1.2%
508 Shibuyungi 0
0%
601 Chama 8
1%
602 Chinsali 11
1.4%
603 Isoka 9
1.1%
604 Mafinga 4
0.5%
605 Mpika 16
2%
606 Nakonde 12
1.5%
607 Shiwangandu 26
3.2%
701 Chilubi 8
1%
702 Kaputa 6
0.7%
703 Kasama 60
7.4%
704 Luwingu 28
3.5%
705 Mbala 16
2%
706 Mporokoso 44
5.5%
707 Mpulungu 9
1.1%
708 Mungwi 16
2%
709 Nsama 5
0.6%
801 Chavuma 0
0%
802 Ikelenge 26
3.2%
803 Kabompo 16
2%
804 Kasempa 16
2%
805 Manyinga 4
0.5%
806 Mufumbwe 8
1%
807 Mwinilunga 28
3.5%
808 Solwezi 22
2.7%
809 Zambezi 14
1.7%
901 Chikankata 3
0.4%
902 Choma 6
0.7%
903 Gwembe 5
0.6%
904 Kalomo 0
0%
905 Kazungula 1
0.1%
906 Livingstone 5
0.6%
907 Mazabuka 2
0.2%
908 Monze 2
0.2%
909 Namwala 2
0.2%
910 Pemba 2
0.2%
911 Siavonga 2
0.2%
912 Sinazongwe 2
0.2%
913 Zimba 0
0%
1001 Kalabo 2
0.2%
1002 Kaoma 0
0%
1003 Limulunga 4
0.5%
1004 Luampa 3
0.4%
1005 Lukulu 2
0.2%
1006 Mitete 0
0%
1007 Mongu 1
0.1%
1008 Mulobezi 0
0%
1009 Mwandi 4
0.5%
1010 Nalolo 2
0.2%
1011 Nkeyema 3
0.4%
1012 Senanga 1
0.1%
1013 Sesheke 0
0%
1014 Shang'ombo 2
0.2%
1015 Sikongo 1
0.1%
1016 Sioma 0
0%
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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