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    Home / Central Data Catalog / DATAFIRST / ZMB_2005_FSDZ_V01_M / variable [F1]
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FinScope 2005, Financial Inclusion

Zambia, 2005
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Reference ID
ZMB_2005_FSDZ_v01_M
Producer(s)
Finmark Trust
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
Study website
Created on
Oct 17, 2019
Last modified
Oct 17, 2019
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39052
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  • Study Description
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  • Zambia Finscope
    2005 v1.0
    Stata11

Unexpected event that could impact on finances - 5 (Q21_5)

Data file: Zambia Finscope 2005 v1.0 Stata11

Overview

Valid: 307
Invalid: 3691
Type: Discrete
Decimal: 0
Start: 648
End: 649
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Theft, fire or destruction of household / property 0
0%
2 Theft or destruction of agricultural crop / livestock 0
0%
3 Failure of business / bankruptcy 0
0%
4 Member of household loses job 0
0%
5 Disability of household member 8
2.6%
6 Serious illness of a household member that requires expensiv 14
4.6%
7 Death of a household / family member 63
20.5%
8 Separation / divorce 20
6.5%
9 Birth of child 19
6.2%
10 Unforeseen education expenses 56
18.2%
11 Non-payment from creditors / people who owe you money 14
4.6%
12 Rent increase 11
3.6%
13 Rise in fuel prices 23
7.5%
14 Rise in food prices 69
22.5%
15 Accident 2
0.7%
16 Missing bank books 0
0%
17 Weather hazards (drought, flood) 1
0.3%
18 Unabilitity to pay bills 1
0.3%
19 Failure to find a job 0
0%
20 Fall in maize prices 0
0%
21 Member of household goes to prison 0
0%
22 Family problems 0
0%
23 Financial assistance to others 0
0%
24 Food shortage 0
0%
25 Purchase of a plot of land 0
0%
27 Poor harvest 0
0%
28 Need for more agricultural inputs 1
0.3%
29 Rise in transport costs 0
0%
30 Inflation 0
0%
31 Stolen money 0
0%
32 Power cut 0
0%
34 Medical expenses 0
0%
36 Need for more agricultural inputs 0
0%
37 Poverty 0
0%
38 Unexpected visitors 1
0.3%
39 Wedding 0
0%
95 Others 4
1.3%
96 None 0
0%
98 Do not know 0
0%
99 Not specified 0
0%
Sysmiss 3691
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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