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    Home / Central Data Catalog / ZMB-ZSA-LCMS-2006-V1.0 / variable [F34]
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2006 LIVING CONDITIONS AND MONITORING SURVEY
5TH EDITION

Zambia, 2006 - 2007
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Reference ID
ZMB-ZSA-LCMS-2006-V1.0
Producer(s)
CENTRAL STATISTICAL OFFICE
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jan 17, 2026
Last modified
Feb 26, 2026
Page views
10537
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  • Study Description
  • Data Dictionary
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  • Data files
  • Deaths in a
    Household.
  • Developmental
    issue1
  • Education
  • Health
  • Household
    Access to
    facilitie.
  • Household
    Expenditure and
    Poverty
  • Household
    Roster and
    migration and
    poverty
  • Marital Status
  • Nutrition5
  • Poverty
  • Self Assesd
    Poverty and
    Household
    Strategies

4c. Why do you think you are the same or worse off? (S10Q4C)

Data file: Self Assesd Poverty and Household Strategies

Overview

Valid: 2905
Invalid: 15757
Minimum: 1
Maximum: 88
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 88
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Cannot afford/lack of agricultural inputs 92
3.2%
2 Agricultural inputs are not available 33
1.1%
3 Lack of agricultural inputs due to other reasons 60
2.1%
4 Low agricultural production 54
1.9%
5 Because of the drought 21
0.7%
6 Because of floods 14
0.5%
7 Lack of adequate land 57
2%
8 Low prices for the produce 40
1.4%
9 Lack of market 30
1%
10 Lack of cattle/oxen 69
2.4%
11 Death cattle due to diseases 23
0.8%
12 Lack of capital to start 98
3.4%
13 Lack of capital to diversify 42
1.4%
14 Lack of credit facilities 88
3%
15 Lack of capital to start own business 176
6.1%
16 Lack of credit facilities to start business 94
3.2%
17 Lack of employment opportunities 160
5.5%
18 Salary/wage too little 71
2.4%
19 Pension payment too little 12
0.4%
20 Retrechment/redundancy 13
0.4%
21 Prices of commodities too high 241
8.3%
22 Hard economic times 325
11.2%
23 Business not doing well 71
2.4%
24 Too much competition 49
1.7%
25 Due to disability 12
0.4%
26 Death of bread winner 72
2.5%
27 Debts 29
1%
28 Other 92
3.2%
88 NA 767
26.4%
Sysmiss 15757
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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