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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
10505
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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

4a. Why do you think you are the same or worse off? (S10Q4A)

Data file: Self Assesd Poverty and Household Strategies

Overview

Valid: 2931
Invalid: 15731
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 338
11.5%
2 Agricultural inputs are not available 49
1.7%
3 Lack of agricultural inputs due to other reasons 98
3.3%
4 Low agricultural production 107
3.7%
5 Because of the drought 59
2%
6 Because of floods 37
1.3%
7 Lack of adequate land 60
2%
8 Low prices for the produce 45
1.5%
9 Lack of market 37
1.3%
10 Lack of cattle/oxen 87
3%
11 Death cattle due to diseases 55
1.9%
12 Lack of capital to start 121
4.1%
13 Lack of capital to diversify 43
1.5%
14 Lack of credit facilities 48
1.6%
15 Lack of capital to start own business 183
6.2%
16 Lack of credit facilities to start business 55
1.9%
17 Lack of employment opportunities 252
8.6%
18 Salary/wage too little 236
8.1%
19 Pension payment too little 17
0.6%
20 Retrechment/redundancy 20
0.7%
21 Prices of commodities too high 161
5.5%
22 Hard economic times 215
7.3%
23 Business not doing well 134
4.6%
24 Too much competition 33
1.1%
25 Due to disability 29
1%
26 Death of bread winner 242
8.3%
27 Debts 25
0.9%
28 Other 140
4.8%
88 NA 5
0.2%
Sysmiss 15731
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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