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    Home / Data Portal / LFS-QLFS-LMDSA / ZAF-STATSSA-QLFS-2019-Q4-V1 / variable [V169]
LFS-QLFS-LMDSA

Quarterly Labour Force Survey 2019, Quarter 4

South Africa, 2019
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Reference ID
zaf-statssa-qlfs-2019-q4-v1
Producer(s)
Statistics South Africa
Collections
South African Labour Force Survey Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 08, 2020
Last modified
Nov 07, 2022
Page views
30624
Downloads
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  • qlfs-2019-q4-worker-v1.0

Study field (Q18FIELD)

Data file: qlfs-2019-q4-worker-v1.0

Overview

Valid: 997
Invalid: 9002
Type: Discrete
Decimal: 0
loc_start_pos: 27
loc_end_pos: 28
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 11
1.1%
2 Architecture or environmental design 7
0.7%
3 Arts; Visual or Performing 23
2.3%
4 Business; commerce and management studies 115
11.5%
5 Communication 5
0.5%
6 Computer science 30
3%
7 Education; training or development 171
17.2%
8 Engineering or engineering technology 50
5%
9 Health care or health sciences 122
12.2%
10 Home economics 2
0.2%
11 Industrial arts; traders or technology 7
0.7%
12 Languages; linguistic or literature 7
0.7%
13 Law 29
2.9%
14 Libraries or museums 1
0.1%
15 Life sciences or physical sciences 9
0.9%
16 Mathematical sciences 5
0.5%
17 Military sciences 2
0.2%
18 Philosophy; religion or theology 7
0.7%
19 Physical education or leisure 2
0.2%
20 Psychology 14
1.4%
21 Public administration or social services 35
3.5%
22 Social sciences or social studies 18
1.8%
23 Other 73
7.3%
24 Management 28
2.8%
25 Marketing 12
1.2%
26 Information technology and computer science 18
1.8%
27 Finance; economics and accounting 34
3.4%
28 Office administration 20
2%
29 Electrical infrastructure construction 13
1.3%
30 Civil engineering and building construction 12
1.2%
31 Engineering 18
1.8%
32 Primary agriculture 2
0.2%
33 Hospitality 7
0.7%
34 Tourism 13
1.3%
35 Safety in society 8
0.8%
36 Mechatronics 4
0.4%
37 Education and development 4
0.4%
38 Other 59
5.9%
99 Unspecified 0
0%
Sysmiss 9002
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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