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    Home / Data Portal / LFS-QLFS-LMDSA / ZAF-STATSSA-QLFS-2019-Q2-V1 / variable [F6]
LFS-QLFS-LMDSA

Quarterly Labour Force Survey 2019, Quarter 2

South Africa, 2019
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Reference ID
zaf-statssa-qlfs-2019-q2-v1
Producer(s)
Statistics South Africa
Collections
South African Labour Force Survey Data
Metadata
DDI/XML JSON
Created on
Sep 06, 2019
Last modified
Sep 10, 2020
Page views
32233
Downloads
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  • qlfs-2019-q2-worker-v1.0

Study field (Q18FIELD)

Data file: qlfs-2019-q2-worker-v1.0

Overview

Valid: 973
Invalid: 9026
Type: Discrete
Decimal: 0
loc_start_pos: 27
loc_end_pos: 28
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 20
2.1%
2 Architecture or environmental design 9
0.9%
3 Arts; Visual or Performing 17
1.7%
4 Business; commerce and management studies 122
12.5%
5 Communication 8
0.8%
6 Computer science 25
2.6%
7 Education; training or development 168
17.3%
8 Engineering or engineering technology 40
4.1%
9 Health care or health sciences 99
10.2%
10 Home economics 2
0.2%
11 Industrial arts; traders or technology 1
0.1%
12 Languages; linguistic or literature 7
0.7%
13 Law 27
2.8%
14 Libraries or museums 3
0.3%
15 Life sciences or physical sciences 9
0.9%
16 Mathematical sciences 5
0.5%
17 Military sciences 1
0.1%
18 Philosophy; religion or theology 6
0.6%
19 Physical education or leisure 3
0.3%
20 Psychology 8
0.8%
21 Public administration or social services 19
2%
22 Social sciences or social studies 13
1.3%
23 Other 71
7.3%
24 Management 42
4.3%
25 Marketing 18
1.8%
26 Information technology and computer science 17
1.7%
27 Finance; economics and accounting 39
4%
28 Office administration 29
3%
29 Electrical infrastructure construction 14
1.4%
30 Civil engineering and building construction 18
1.8%
31 Engineering 24
2.5%
32 Primary agriculture 3
0.3%
33 Hospitality 16
1.6%
34 Tourism 8
0.8%
35 Safety in society 8
0.8%
36 Mechatronics 4
0.4%
37 Education and development 2
0.2%
38 Other 48
4.9%
Sysmiss 9026
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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