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    Home / Central Data Catalog / UGA_2011_UNPS_V02_M / variable [F63]
central

National Panel Survey 2011-2012
Wave III

Uganda, 2011 - 2012
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Reference ID
UGA_2011_UNPS_v02_M
Producer(s)
Uganda Bureau of Statistics (UBOS)
Metadata
DDI/XML JSON
Study website
Created on
Dec 23, 2014
Last modified
Mar 29, 2019
Page views
239647
Downloads
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  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • 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

Other constraints faced by this sub-county in terms if maintenance and repair of (cd5q21_other)

Data file: CSEC5d

Overview

Valid: 85
Invalid: 0
Type: Discrete
Start: 30
End: 90
Width: 61
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
BAD WEATHER 1
1.2%
BAD WEATHER 7
8.2%
BAD TERRAIN 1
1.2%
BAD WEATHER 6
7.1%
DELAY BY PFOCUREMENT PROCESS 1
1.2%
DELAY IN PROCEREMENT AND TENDERING PROCESS 1
1.2%
DELAY IN PROCUREMENT PROCESS 4
4.7%
DELAY IN PROCUREMENT PROCESS 1
1.2%
DELAY IN PROCUREMENT PROCESS 1
1.2%
DELAY IN TENDERING AND PROCUREMENT PROCESS 1
1.2%
DELAY BY CONTRACTORS 1
1.2%
DELAY IN PROCUREMENT PROCESS 3
3.5%
INADEQUATE ROAD EQUIPMENTS 1
1.2%
LACK OF TECHNICAL PEOPLE 1
1.2%
LACK OF LOCAL REVUNUE 1
1.2%
LACK OF TECHNICAL SUPPORT 3
3.5%
LONG TENDERING PROCESS 1
1.2%
LUCK OF EQUIPMENT 1
1.2%
LUCK OF STAFF ACCOMODATIONS 1
1.2%
MOUNTANEOS TERRAIN 1
1.2%
NATURE OF SOIL 1
1.2%
NO -EQUIPMENTS 1
1.2%
POLITICAL INFLUENCE 1
1.2%
POLITICAL INTERFERENCE 1
1.2%
POLITICAL INTREFERNCE 1
1.2%
POOR WORK BY CONTRACTORS 2
2.4%
POOR AWARD OF CONRACTS BY THE DISTRICT LEADING TO SHOODY WORK 1
1.2%
POOR QUALITY WORK BY THE CONTRACTORS 1
1.2%
POOR TENDERING SYSTEM 2
2.4%
POOR WORK DONE BY CONTRACTORS 1
1.2%
POOR WORKMANSHIP 1
1.2%
PPDA(procurement) process takes verl long 1
1.2%
PROCUREMENT UNIT DELAYS IN ISSUING CONTRACT WORKS 1
1.2%
RELOCATION OF UTILITY SERVICES 1
1.2%
ROAD RESERVE ENCHROCHMENT 1
1.2%
SODDY WORK BY CONTRACTORS 1
1.2%
SODDY WORK DONE BY CONTRACTORS 1
1.2%
SUB -COUNTY DOESN,T HAVE SAY ON CONTRACTORS 1
1.2%
SUB-COUNTY DOESN,T HAVE ACCESS TO PROCUREMENT PROCESS 1
1.2%
TERRAIN 3
3.5%
THE TYPE OF SOILS IN THE AREA 1
1.2%
UNPREDICTABLE WEATHER 1
1.2%
bad terrain and no good machinery 1
1.2%
bad weather 3
3.5%
bad weather and terrain 1
1.2%
contractors use alot of money 1
1.2%
delay by contractors 1
1.2%
delay in procurement 1
1.2%
distirct has no road unit so hinders works within 1
1.2%
district conceal much information on road 1
1.2%
extreme weather conditions 1
1.2%
heavy rains damage roads 1
1.2%
high cost of compensiating land owners 1
1.2%
inadequate local revenue sources 1
1.2%
incompetent road contractors 1
1.2%
labour is expensive 1
1.2%
lackof technical support 1
1.2%
no response from district 1
1.2%
poor terrain 1
1.2%
private sector is expensive 1
1.2%
tendering system that's not timely and not good 1
1.2%
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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