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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2022-Q4-V1 / variable [F5]
StatsSA

Quarterly Labour Force Survey 2022, Quarter 4

South Africa, 2022
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Reference ID
zaf-statssa-qlfs-2022-q4-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 03, 2023
Last modified
Mar 03, 2023
Page views
12028
Downloads
1066
  • Study Description
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  • qlfs-2022-q4-worker-v1

Study field (Q18FIELD)

Data file: qlfs-2022-q4-worker-v1

Overview

Valid: 86
Invalid: 914
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 2
2.3%
2 Architecture or environmental design 0
0%
3 Arts; Visual or Performing 0
0%
4 Business; commerce and management studies 25
29.1%
5 Communication 1
1.2%
6 Computer science 2
2.3%
7 Education; training or development 18
20.9%
8 Engineering or engineering technology 6
7%
9 Health care or health sciences 9
10.5%
10 Home economics 0
0%
11 Industrial arts; traders or technology 1
1.2%
12 Languages; linguistic or literature 2
2.3%
13 Law 2
2.3%
14 Libraries or museums 0
0%
15 Life sciences or physical sciences 2
2.3%
16 Mathematical sciences 0
0%
17 Military sciences 1
1.2%
18 Philosophy; religion or theology 1
1.2%
19 Physical education or leisure 0
0%
20 Psychology 1
1.2%
21 Public administration or social services 3
3.5%
22 Social sciences or social studies 0
0%
23 Other 0
0%
24 Management 1
1.2%
25 Marketing 0
0%
26 Information technology and computer science 0
0%
27 Finance; economics and accounting 1
1.2%
28 Office administration 0
0%
29 Electrical infrastructure construction 3
3.5%
30 Civil engineering and building construction 0
0%
31 Engineering 0
0%
32 Primary agriculture 0
0%
33 Hospitality 2
2.3%
34 Tourism 2
2.3%
35 Safety in society 1
1.2%
36 Mechatronics 0
0%
37 Education and development 0
0%
38 Other 0
0%
Sysmiss 914
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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