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    Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / UGA_2013-2014_NPS-W4_V01_EN_M_V01_A_OCS / variable [F214]
agricultural-surveys

National Panel Survey 2013-2014

Uganda, 2013 - 2014
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Reference ID
UGA_2013-2014_NPS-W4_v01_EN_M_v01_A_OCS
Producer(s)
Uganda Bureau of Statistics
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Sep 11, 2020
Last modified
Nov 08, 2022
Page views
94145
Downloads
642
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • GSEC1
  • GSEC2
  • GSEC3
  • GSEC4
  • GSEC5
  • GSEC6_1
  • GSEC6_2
  • GSEC6_3
  • GSEC8_1
  • GSEC9_1
  • GSEC9_2
  • GSEC10_1
  • GSEC10_2
  • GSEC10_3
  • GSEC11A
  • GSEC11B
  • GSEC12_1
  • GSEC14A
  • GSEC14B
  • GSEC15
  • GSEC15B
  • GSEC15BB
  • GSEC15BB_2
  • GSEC15BB_3
  • GSEC15C
  • GSEC15D
  • GSEC15E
  • GSEC16
  • GSEC17_1
  • GSEC17_2
  • GSEC17_3
  • GSEC17_4
  • GSEC19
  • WSEC1A
  • WSEC2
  • WSEC3
  • WSEC4
  • WSEC5
  • AGSEC1
  • AGSEC2A
  • AGSEC2B
  • AGSEC3A
  • AGSEC3B
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6A_1
  • AGSEC6B
  • AGSEC6B_1
  • AGSEC6C
  • AGSEC6C_1
  • AGSEC7
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC9
  • AGSEC9A
  • AGSEC10
  • AGSEC11
  • CSEC1A
  • CSEC2A
  • CSEC2B
  • CSEC2C
  • CSEC2C_1
  • CSEC3
  • CSEC3A
  • CSEC3B
  • CSEC3C
  • CSEC3D
  • CSEC3E
  • CSEC3F
  • CSEC3G
  • CSEC3H
  • CSEC3I
  • CSEC3J
  • CSEC3K
  • CSEC3K_1
  • CSEC3L
  • CSEC4A
  • CSEC4B
  • CSEC4C
  • CSEC4D
  • CSEC4D_1
  • CSEC4E
  • CSEC4F
  • CSEC4G
  • CSEC4H
  • CSEC4H_1
  • CSEC4I
  • CSEC4J
  • CSEC4K_1
  • CSEC4L
  • CSEC4M.1
  • CSEC4N
  • CSEC4O
  • CSEC4P
  • CSEC4Q
  • CSEC4R
  • CSEC5
  • CSEC5A
  • CSEC5B
  • CSEC5C
  • CSEC5D
  • CSEC5E
  • CSEC6A
  • CSEC6B
  • CSEC6C
  • CSEC6D
  • CSEC6E
  • UNPS 2013-14
    Consumption
    Aggregate
  • gsec12

In your opinion, what is the main reason for the poor roads? (C5AQ9)

Data file: CSEC5A

Overview

Valid: 225
Invalid: 1328
Type: Discrete
Decimal: 0
Start: 36
End: 37
Width: 2
Range: 1 - 96
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Bad weather 38
16.9%
2 Lack of equipment 18
8%
3 Poor maintenance 116
51.6%
4 Lack of engineers 1
0.4%
96 Other 52
23.1%
Sysmiss 1328
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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