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    Home / Central Data Catalog / DATAFIRST / ZMB_2015_FSDZ_V01_M / variable [F1]
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FinScope 2015, Financial Inclusion

Zambia, 2015
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Reference ID
ZMB_2015_FSDZ_v01_M
Producer(s)
Financial Sector Deepening Zambia
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
Study website
Created on
Oct 16, 2019
Last modified
Oct 16, 2019
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  • zmb-zambia-finscope-2015-v1.1-stata11

District (District)

Data file: zmb-zambia-finscope-2015-v1.1-stata11

Overview

Valid: 8479
Invalid: 0
Type: Discrete
Start: 25
End: 37
Width: 13
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Chadiza 40
0.5%
Chama 60
0.7%
Chavuma 30
0.4%
Chibombo 122
1.4%
Chiengi 86
1%
Chililabombwe 60
0.7%
Chilubi 40
0.5%
Chingola 141
1.7%
Chinsali 106
1.3%
Chipata 330
3.9%
Choma 140
1.7%
Chongwe 150
1.8%
Gwembe 20
0.2%
Ikelenge 10
0.1%
Isoka 90
1.1%
Itezhi-Tezhi 40
0.5%
Kabompo 99
1.2%
Kabwe 221
2.6%
Kafue 175
2.1%
Kalabo 70
0.8%
Kalomo 100
1.2%
Kalulushi 60
0.7%
Kaoma 117
1.4%
Kapiri Mposhi 130
1.5%
Kaputa 50
0.6%
Kasama 230
2.7%
Kasempa 36
0.4%
Katete 110
1.3%
Kawambwa 100
1.2%
Kazungula 30
0.4%
Kitwe 323
3.8%
Livingstone 150
1.8%
Luangwa 20
0.2%
Luanshya 110
1.3%
Lufwanyama 55
0.6%
Lukulu 26
0.3%
Lundazi 127
1.5%
Lusaka 1101
13%
Luwingu 70
0.8%
Mafinga 29
0.3%
Mambwe 39
0.5%
Mansa 231
2.7%
Masaiti 61
0.7%
Mazabuka 140
1.7%
Mbala 110
1.3%
Milenge 10
0.1%
Mkushi 71
0.8%
Mongu 220
2.6%
Monze 90
1.1%
Mpika 180
2.1%
Mpongwe 63
0.7%
Mporokoso 60
0.7%
Mpulungu 90
1.1%
Mufulira 100
1.2%
Mufumbwe 36
0.4%
Mumbwa 109
1.3%
Mungwi 80
0.9%
Mwense 90
1.1%
Mwinilunga 70
0.8%
Nakonde 158
1.9%
Namwala 40
0.5%
Nchelenge 130
1.5%
Ndola 282
3.3%
Nyimba 30
0.4%
Petauke 155
1.8%
Samfya 110
1.3%
Senanga 89
1%
Serenje 70
0.8%
Sesheke 79
0.9%
Shangombo 40
0.5%
Siavonga 60
0.7%
Sinazongwe 40
0.5%
Solwezi 282
3.3%
Zambezi 60
0.7%
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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