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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2022-Q1-V1 / variable [F2]
StatsSA

Quarterly Labour Force Survey 2022, Quarter 1

South Africa, 2022
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Reference ID
zaf-statssa-qlfs-2022-q1-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 08, 2022
Last modified
Jun 20, 2022
Page views
29812
Downloads
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  • Study Description
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  • qlfs-2022-q1-worker-v1

Study field (Q18FIELD)

Data file: qlfs-2022-q1-worker-v1

Overview

Valid: 75
Invalid: 925
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 1
1.3%
2 Architecture or environmental design 3
4%
3 Arts; Visual or Performing 0
0%
4 Business; commerce and management studies 13
17.3%
5 Communication 0
0%
6 Computer science 1
1.3%
7 Education; training or development 10
13.3%
8 Engineering or engineering technology 4
5.3%
9 Health care or health sciences 10
13.3%
10 Home economics 0
0%
11 Industrial arts; traders or technology 0
0%
12 Languages; linguistic or literature 1
1.3%
13 Law 2
2.7%
14 Libraries or museums 0
0%
15 Life sciences or physical sciences 2
2.7%
16 Mathematical sciences 1
1.3%
17 Military sciences 0
0%
18 Philosophy; religion or theology 0
0%
19 Physical education or leisure 0
0%
20 Psychology 0
0%
21 Public administration or social services 0
0%
22 Social sciences or social studies 2
2.7%
23 Other 0
0%
24 Management 9
12%
25 Marketing 1
1.3%
26 Information technology and computer science 1
1.3%
27 Finance; economics and accounting 3
4%
28 Office administration 6
8%
29 Electrical infrastructure construction 1
1.3%
30 Civil engineering and building construction 0
0%
31 Engineering 0
0%
32 Primary agriculture 0
0%
33 Hospitality 0
0%
34 Tourism 0
0%
35 Safety in society 1
1.3%
36 Mechatronics 2
2.7%
37 Education and development 0
0%
38 Other 1
1.3%
Sysmiss 925
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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