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    Home / Central Data Catalog / 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
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
19417
Downloads
338
  • Study Description
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  • Zambia Finscope
    2009 v1.0
    Stata11

S3Q9A.3: Events (S3Q9A_3)

Data file: Zambia Finscope 2009 v1.0 Stata11

Overview

Valid: 792
Invalid: 3208
Type: Discrete
Decimal: 0
Start: 618
End: 619
Width: 2
Range: -9 - 28
Format: Numeric

Questions and instructions

Categories
Value Category Cases
-9 Missing Data 0
0%
1 Increase in household size (more dependents relying on household income) 0
0%
2 Death of or loss of income from main income earner 1
0.1%
3 Death of other family member not main income earner 83
10.5%
4 Illness within your household or family that requires medical expenses 189
23.9%
5 Separation or divorce 32
4%
6 Disability - self or household member 12
1.5%
7 Having to pay unforeseen school/education fees 34
4.3%
8 Loss of job - self or household member 41
5.2%
9 Fire or destruction of household property 17
2.1%
10 Loss of your home 5
0.6%
11 Loss of your savings 8
1%
12 Drought, poor rainfall or loss of access to water for farming 44
5.6%
13 Flooding 20
2.5%
14 Harvest failure or losses of crop harvest 79
10%
15 Death or illness of livestock 20
2.5%
16 Loss of your land or access to land you use 3
0.4%
17 Low selling prices - e.g. maize, tobacco floor prices or prices buyers are prepared to pay 41
5.2%
18 Competition - everyone is selling - difficult to sell own goods/products 10
1.3%
19 FRA not able to buy all maize 11
1.4%
20 Lack/shortage of subsidised fertiliser 18
2.3%
21 Loss/failure of your business 27
3.4%
22 Rise in transport costs 8
1%
23 Rise in electricity/water prices 7
0.9%
24 Rent increases 14
1.8%
25 Rise in prices of goods such as groceries etc. 50
6.3%
26 Rise in interest rates 1
0.1%
27 Other specify 15
1.9%
28 Can't think of any/nothing 2
0.3%
Sysmiss 3208
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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