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    Home / Data Portal / LFS-QLFS-LMDSA / ZAF-STATSSA-QLFS-2020-Q4-V2 / variable [V169]
LFS-QLFS-LMDSA

Quarterly Labour Force Survey 2020, Quarter 4

South Africa, 2020
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Reference ID
zaf-statssa-qlfs-2020-q4-v2
Producer(s)
Statistics South Africa
Collections
South African Labour Force Survey Data
Metadata
DDI/XML JSON
Created on
Mar 28, 2021
Last modified
Feb 04, 2022
Page views
25753
Downloads
2415
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  • qlfs-2020-q4-worker-v2

Study field (Q18FIELD)

Data file: qlfs-2020-q4-worker-v2

Overview

Valid: 878
Invalid: 9121
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 17
1.9%
2 Architecture or environmental design 5
0.6%
3 Arts; Visual or Performing 15
1.7%
4 Business; commerce and management studies 112
12.8%
5 Communication 6
0.7%
6 Computer science 22
2.5%
7 Education; training or development 172
19.6%
8 Engineering or engineering technology 40
4.6%
9 Health care or health sciences 100
11.4%
10 Home economics 4
0.5%
11 Industrial arts; traders or technology 7
0.8%
12 Languages; linguistic or literature 5
0.6%
13 Law 20
2.3%
14 Libraries or museums 1
0.1%
15 Life sciences or physical sciences 6
0.7%
16 Mathematical sciences 3
0.3%
17 Military sciences 3
0.3%
18 Philosophy; religion or theology 8
0.9%
19 Physical education or leisure 0
0%
20 Psychology 13
1.5%
21 Public administration or social services 29
3.3%
22 Social sciences or social studies 13
1.5%
23 Other 17
1.9%
24 Management 28
3.2%
25 Marketing 10
1.1%
26 Information technology and computer science 22
2.5%
27 Finance; economics and accounting 28
3.2%
28 Office administration 26
3%
29 Electrical infrastructure construction 20
2.3%
30 Civil engineering and building construction 16
1.8%
31 Engineering 24
2.7%
32 Primary agriculture 0
0%
33 Hospitality 8
0.9%
34 Tourism 15
1.7%
35 Safety in society 6
0.7%
36 Mechatronics 4
0.5%
37 Education and development 11
1.3%
38 Other 42
4.8%
Sysmiss 9121
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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