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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2024-Q1-V1 / variable [F10]
StatsSA

Quarterly Labour Force Survey 2024, Quarter 1

South Africa, 2024
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Reference ID
zaf-statssa-qlfs-2024-q1-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 14, 2024
Last modified
May 14, 2024
Page views
26642
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  • qlfs-2024-q1-worker-v1

Study field (Q18FIELD)

Data file: qlfs-2024-q1-worker-v1

Overview

Valid: 6130
Invalid: 60749
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 107
1.7%
2 Architecture or environmental design 53
0.9%
3 Arts; Visual or Performing 112
1.8%
4 Business; commerce and management studies 1365
22.3%
5 Communication 107
1.7%
6 Computer science 209
3.4%
7 Education; training or development 1088
17.7%
8 Engineering or engineering technology 788
12.9%
9 Health care or health sciences 603
9.8%
10 Home economics 54
0.9%
11 Industrial arts; traders or technology 85
1.4%
12 Languages; linguistic or literature 20
0.3%
13 Law 207
3.4%
14 Libraries or museums 14
0.2%
15 Life sciences or physical sciences 58
0.9%
16 Mathematical sciences 18
0.3%
17 Military sciences 17
0.3%
18 Philosophy; religion or theology 38
0.6%
19 Physical education or leisure 15
0.2%
20 Psychology 48
0.8%
21 Public administration or social services 74
1.2%
22 Social sciences or social studies 26
0.4%
23 Other 135
2.2%
24 Management 108
1.8%
25 Marketing 67
1.1%
26 Information technology and computer science 88
1.4%
27 Finance; economics and accounting 170
2.8%
28 Office administration 85
1.4%
29 Electrical infrastructure construction 58
0.9%
30 Civil engineering and building construction 36
0.6%
31 Engineering 30
0.5%
32 Primary agriculture 5
0.1%
33 Hospitality 42
0.7%
34 Tourism 36
0.6%
35 Safety in society 35
0.6%
36 Mechatronics 12
0.2%
37 Education and development 44
0.7%
38 Other 73
1.2%
Sysmiss 60749
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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