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    Home / Central Data Catalog / DATAFIRST / ZMB_2009_FSDZ_V01_M / variable [F1]
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FinScope 2009, Financial Inclusion

Zambia, 2009
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Reference ID
ZMB_2009_FSDZ_v01_M
Producer(s)
Finmark Trust
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
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Created on
Oct 16, 2019
Last modified
Oct 16, 2019
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  • Zambia Finscope
    2009 v1.0
    Stata11

District (dist)

Data file: Zambia Finscope 2009 v1.0 Stata11

Overview

Valid: 4000
Invalid: 0
Type: Discrete
Decimal: 0
Start: 25
End: 27
Width: 3
Range: 101 - 907
Format: Numeric

Questions and instructions

Categories
Value Category Cases
101 Chibombo 80
2%
102 Kabwe 120
3%
103 Kapiri-mposhi 80
2%
104 Mkushi 40
1%
105 Mumbwa 50
1.3%
106 Serenje 50
1.3%
201 Chililabombwe 20
0.5%
202 Chingola 50
1.3%
203 Kalulushi 30
0.8%
204 Kitwe 120
3%
205 Luanshya 50
1.3%
206 Lufwanyama 30
0.8%
207 Masaiti 40
1%
208 Mpongwe 30
0.8%
209 Mufulira 50
1.3%
210 Ndola 120
3%
301 Chadiza 20
0.5%
302 Chama 30
0.8%
303 Chipata 150
3.8%
304 Katete 80
2%
305 Lundazi 80
2%
306 Mambwe 10
0.3%
307 Nyimba 20
0.5%
308 Petauke 90
2.3%
401 Chienge 30
0.8%
402 Kawambwa 60
1.5%
403 Mansa 100
2.5%
404 Milenge 20
0.5%
405 Mwense 40
1%
406 Nchelenge 70
1.8%
407 Samfya 80
2%
501 Chongwe 80
2%
502 Kafue 80
2%
503 Luangwa 20
0.5%
504 Lusaka 320
8%
601 Chilubi 20
0.5%
602 Chinsali 50
1.3%
603 Isoka 40
1%
604 Kaputa 30
0.8%
605 Kasama 90
2.3%
606 Luwingu 30
0.8%
607 Mbala 60
1.5%
608 Mpika 60
1.5%
609 Mporokoso 30
0.8%
610 Mpulungu 20
0.5%
611 Mungwi 40
1%
612 Nakonde 30
0.8%
701 Chavuma 20
0.5%
702 Kabompo 40
1%
703 Kasempa 30
0.8%
704 Mufumbwe 30
0.8%
705 Mwinilunga 60
1.5%
706 Solwezi 120
3%
707 Zambezi 40
1%
801 Choma 60
1.5%
802 Gwembe 20
0.5%
803 Itezhi-tezhi 20
0.5%
804 Kalomo 50
1.3%
805 Kazungula 30
0.8%
806 Livingstone 50
1.3%
807 Mazabuka 90
2.3%
808 Monze 60
1.5%
809 Namwala 20
0.5%
810 Siavonga 20
0.5%
811 Sinazongwe 40
1%
901 Kalabo 60
1.5%
902 Kaoma 60
1.5%
903 Lukulu 40
1%
904 Mongu 90
2.3%
905 Senanga 40
1%
906 Sesheke 50
1.3%
907 Shang'ombo 20
0.5%
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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