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    Home / Central Data Catalog / LSMS / UGA_2011_UNPS_V02_M / variable [F60]
lsms

National Panel Survey 2011-2012
Wave III

Uganda, 2011 - 2012
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Reference ID
UGA_2011_UNPS_v02_M
DOI
https://doi.org/10.48529/wjg5-bg56
Producer(s)
Uganda Bureau of Statistics (UBOS)
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 09, 2014
Last modified
Aug 21, 2025
Page views
452081
Downloads
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  • Study Description
  • Data Description
  • Documentation
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  • Data files
  • AGSEC1
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6B
  • AGSEC6C
  • AGSEC7A
  • AGSEC7B
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC8D
  • AGSEC8E
  • AGSEC9
  • AGSEC10
  • CSEC1
  • CSEC2a
  • CSEC2b
  • CSEC2c
  • CSEC2c_1
  • CSEC3_1
  • CSEC3a
  • CSEC3b
  • CSEC3c
  • CSEC3d
  • CSEC3e
  • CSEC3f
  • CSEC3g
  • CSEC3h
  • CSEC3i
  • CSEC3j
  • CSEC3k
  • CSEC3L
  • CSEC3m
  • CSEC4ab
  • CSEC4c
  • CSEC4d
  • CSEC4e
  • CSEC4f
  • CSEC4g
  • CSEC4h
  • CSEC4i
  • CSEC4j
  • CSEC4k
  • CSEC4l
  • CSEC4m
  • CSEC4n
  • CSEC4o
  • CSEC4p
  • CSEC4p_B
  • CSEC4q
  • CSEC4r
  • CSEC5_1
  • CSEC5a
  • CSEC5b
  • CSEC5c
  • CSEC5d
  • CSEC5e
  • CSEC6a
  • CSEC6b
  • CSEC6c
  • CSEC6d
  • CSEC6e
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6A
  • GSEC6B
  • GSEC6C
  • GSEC8
  • GSEC9A
  • GSEC9B
  • GSEC10A
  • GSEC10B
  • GSEC10C
  • GSEC11
  • GSEC12
  • GSEC14
  • GSEC15B
  • GSEC15BB
  • GSEC15C
  • GSEC15D
  • GSEC16
  • GSEC17A
  • GSEC17B
  • GSEC17C
  • GSEC18
  • GSEC18A
  • GSEC18B
  • UNPS_Geovars_1112
  • WSEC2A
  • WSEC2B_1
  • WSEC2B_2
  • UNPS 2011-12
    Consumption
    Aggregate
  • HH_SEC10_2
  • AGSEC2A
  • AGSEC2B

In your opinion, what is the main reason for the poor roads? (c5aq9)

Data file: CSEC5a

Overview

Valid: 190
Invalid: 565
Type: Discrete
Decimal: 0
Start: 49
End: 50
Width: 2
Range: 1 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bad weather 23
12.1%
2 Lack of equipment 2
1.1%
3 Poor maintenance 125
65.8%
4 Lack of engineers 0
0%
96 Other 40
21.1%
Sysmiss 565
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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