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    Home / Central Data Catalog / DATAFIRST / ZAF_2021_QLFS-Q3_V01_M / variable [F1]
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Quarterly Labour Force Survey 2021, Quarter 3

South Africa, 2021
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Reference ID
ZAF_2021_QLFS-Q3_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
Study website
Created on
Feb 16, 2022
Last modified
Feb 16, 2022
Page views
11916
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  • qlfs-2021-q3-worker-v1

Study field (Q18FIELD)

Data file: qlfs-2021-q3-worker-v1

Overview

Valid: 3257
Invalid: 40580
Type: Discrete
Decimal: 0
Start: 27
End: 28
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 58
1.8%
2 Architecture or environmental design 22
0.7%
3 Arts; Visual or Performing 20
0.6%
4 Business; commerce and management studies 395
12.1%
5 Communication 45
1.4%
6 Computer science 117
3.6%
7 Education; training or development 651
20%
8 Engineering or engineering technology 176
5.4%
9 Health care or health sciences 298
9.1%
10 Home economics 18
0.6%
11 Industrial arts; traders or technology 25
0.8%
12 Languages; linguistic or literature 5
0.2%
13 Law 52
1.6%
14 Libraries or museums 10
0.3%
15 Life sciences or physical sciences 24
0.7%
16 Mathematical sciences 11
0.3%
17 Military sciences 9
0.3%
18 Philosophy; religion or theology 15
0.5%
19 Physical education or leisure 5
0.2%
20 Psychology 33
1%
21 Public administration or social services 91
2.8%
22 Social sciences or social studies 42
1.3%
23 Other 82
2.5%
24 Management 127
3.9%
25 Marketing 53
1.6%
26 Information technology and computer science 100
3.1%
27 Finance; economics and accounting 87
2.7%
28 Office administration 105
3.2%
29 Electrical infrastructure construction 76
2.3%
30 Civil engineering and building construction 53
1.6%
31 Engineering 108
3.3%
32 Primary agriculture 3
0.1%
33 Hospitality 44
1.4%
34 Tourism 40
1.2%
35 Safety in society 66
2%
36 Mechatronics 11
0.3%
37 Education and development 26
0.8%
38 Other 154
4.7%
Sysmiss 40580
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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