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    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2020-Q1-V1.0 / variable [F2]
StatsSA

Quarterly Labour Force Survey 2020, Quarter 1

South Africa, 2020
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Reference ID
zaf-statssa-qlfs-2020-q1-v1.0
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Aug 05, 2020
Last modified
Aug 05, 2020
Page views
36970
Downloads
5157
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  • qlfs-2020-q1-worker-v1

Study field (Q18FIELD)

Data file: qlfs-2020-q1-worker-v1

Overview

Valid: 969
Invalid: 9030
Type: Discrete
Decimal: 0
loc_start_pos: 27
loc_end_pos: 28
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 15
1.5%
2 Architecture or environmental design 7
0.7%
3 Arts; Visual or Performing 26
2.7%
4 Business; commerce and management studies 119
12.3%
5 Communication 7
0.7%
6 Computer science 26
2.7%
7 Education; training or development 163
16.8%
8 Engineering or engineering technology 49
5.1%
9 Health care or health sciences 104
10.7%
10 Home economics 2
0.2%
11 Industrial arts; traders or technology 5
0.5%
12 Languages; linguistic or literature 5
0.5%
13 Law 24
2.5%
14 Libraries or museums 1
0.1%
15 Life sciences or physical sciences 8
0.8%
16 Mathematical sciences 7
0.7%
17 Military sciences 2
0.2%
18 Philosophy; religion or theology 7
0.7%
19 Physical education or leisure 1
0.1%
20 Psychology 17
1.8%
21 Public administration or social services 28
2.9%
22 Social sciences or social studies 22
2.3%
23 Other 73
7.5%
24 Management 25
2.6%
25 Marketing 10
1%
26 Information technology and computer science 17
1.8%
27 Finance; economics and accounting 27
2.8%
28 Office administration 21
2.2%
29 Electrical infrastructure construction 20
2.1%
30 Civil engineering and building construction 15
1.5%
31 Engineering 20
2.1%
32 Primary agriculture 1
0.1%
33 Hospitality 11
1.1%
34 Tourism 11
1.1%
35 Safety in society 10
1%
36 Mechatronics 5
0.5%
37 Education and development 7
0.7%
38 Other 50
5.2%
99 Unspecified 1
0.1%
Sysmiss 9030
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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