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    Home / Central Data Catalog / LSMS / UGA_2019_UNPS_V03_M / variable [F90]
lsms

National Panel Survey 2019-2020

Uganda, 2019 - 2020
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Reference ID
UGA_2019_UNPS_v03_M
DOI
https://doi.org/10.48529/nqzx-f196
Producer(s)
Uganda Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 21, 2021
Last modified
May 11, 2021
Page views
104134
Downloads
10943
  • Study Description
  • Data Description
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  • Data files
  • AGSEC1
  • AGSEC2A
  • AGSEC2B
  • AGSEC3A
  • AGSEC3A_1
  • AGSEC3B
  • AGSEC3B_1
  • AGSEC4A
  • AGSEC4B
  • AGSEC5A
  • AGSEC5B
  • AGSEC6A
  • AGSEC6B
  • AGSEC6C
  • AGSEC7
  • AGSEC8A
  • AGSEC8B
  • AGSEC8C
  • AGSEC9A
  • AGSEC9B
  • AGSEC10
  • AGSEC11
  • CSEC1A
  • CSEC2
  • CSEC2A
  • CSEC2B
  • CSEC2C
  • CSEC2C_0
  • CSEC3_0
  • CSEC3A
  • CSEC3B
  • CSEC3C
  • CSEC3D
  • CSEC3E
  • CSEC3F
  • CSEC3G
  • CSEC3H
  • CSEC3I
  • CSEC3J
  • CSEC3K
  • CSEC3L
  • CSEC3M
  • CSEC4A
  • CSEC4B
  • CSEC4C
  • CSEC4D
  • CSEC4E
  • CSEC4F
  • CSEC4G
  • CSEC4H_1
  • CSEC4I
  • CSEC4J
  • CSEC4K
  • CSEC4L
  • CSEC4M
  • CSEC4N
  • CSEC4O
  • CSEC4P
  • CSEC4R
  • CSEC4Q
  • CSEC5_0
  • CSEC5ABC
  • CSEC5D
  • CSEC5E
  • CSEC6A
  • CSEC6B
  • CSEC6C_1
  • CSEC6D
  • CSEC6E
  • CSEC11_0
  • GSEC1
  • GSEC2
  • GSEC2B
  • GSEC2C
  • GSEC4
  • GSEC5
  • GSEC6_1
  • GSEC6_2
  • GSEC6_3
  • GSEC6_4
  • GSEC6_5
  • GSEC7_1
  • GSEC7_2
  • GSEC7_4
  • GSEC8
  • GSEC9
  • GSEC10_1
  • GSEC10_3
  • GSEC12_1
  • GSEC12_2
  • GSEC14
  • GSEC15A
  • GSEC15B
  • GSEC15B_2
  • GSEC15C
  • GSEC15D
  • GSEC15E
  • GSEC16
  • GSEC17_1
  • GSEC19
  • WSEC1A
  • WSEC2
  • WSEC3
  • WSEC4
  • WSEC5
  • WSEC6
  • WSEC7
  • WSEC8
  • pov2019_20

SubCategory Level1 - ISCO code (h8q101b_twoDigit)

Data file: GSEC8

Overview

Valid: 9
Invalid: 11184
Minimum: 12
Maximum: 94
Type: Discrete
Decimal: 0
Width: 6
Range: 11 - 993
Format: Numeric

Questions and instructions

Categories
Value Category Cases
11 Chief executives, senior officials and legislators 0
0%
12 Administrative and commercial managers 1
11.1%
13 Production and specialized services managers 0
0%
14 Hospitality, retail and other services managers 0
0%
21 Science and engineering professionals 0
0%
22 Health professionals 0
0%
23 Teaching professionals 0
0%
24 Business and administration professionals 1
11.1%
25 Information and communications technology professionals 0
0%
26 Legal, social and cultural professionals 0
0%
31 Science and engineering associate professionals 0
0%
32 Health associate professionals 1
11.1%
33 Business and administration associate professionals 0
0%
34 Legal, social, cultural and related associate professionals 0
0%
35 Information and communications technicians 0
0%
41 General and keyboard clerks 0
0%
42 Customer services clerks 0
0%
43 Numerical and material recording clerks 0
0%
44 Other clerical support workers 0
0%
51 Personal service workers 2
22.2%
52 Sales workers 0
0%
53 Personal care workers 0
0%
54 Protective services workers 0
0%
61 Market-oriented skilled agricultural workers 1
11.1%
62 Market-oriented skilled forestry, fishery and hunting worker 0
0%
63 Subsistence farmers, fishers, hunters and gatherers 0
0%
71 Building and related trades workers, excluding electricians 0
0%
72 Metal, machinery and related trades workers 0
0%
73 Handicraft and printing workers 0
0%
74 Electrical and electronic trades workers 0
0%
75 Food processing, wood working, garment and other craft and r 0
0%
81 Stationary plant and machine operators 0
0%
82 Assemblers 1
11.1%
83 Drivers and mobile plant operators 0
0%
91 Cleaners and helpers 1
11.1%
92 Agricultural, forestry and fishery labourers 0
0%
93 Labourers in mining, construction, manufacturing and transpo 0
0%
94 Food preparation assistants 1
11.1%
95 Street and related sales and service workers 0
0%
96 Refuse workers and other elementary workers 0
0%
991 Commissioned armed forces officers 0
0%
992 Non-commissioned armed forces officers 0
0%
993 Armed forces occupations, other ranks 0
0%
Sysmiss 11184
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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