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    Home / Central Data Catalog / ZAF_2018_QLFS-Q3_V01_M / variable [F1]
central

Quarterly Labour Force Survey 2018, Quarter 3

South Africa, 2018
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Reference ID
ZAF_2018_QLFS-Q3_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
6827
Downloads
662
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  • qlfs-2018-q3-worker-1.0-stata11

Study field (Q18FIELD)

Data file: qlfs-2018-q3-worker-1.0-stata11

Overview

Valid: 5505
Invalid: 63484
Type: Discrete
Decimal: 0
Start: 27
End: 28
Width: 2
Range: 1 - 99
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 66
1.2%
2 Architecture or environmental design 48
0.9%
3 Arts; Visual or Performing 78
1.4%
4 Business; commerce and management studies 705
12.8%
5 Communication 62
1.1%
6 Computer science 142
2.6%
7 Education; training or development 888
16.1%
8 Engineering or engineering technology 289
5.2%
9 Health care or health sciences 523
9.5%
10 Home economics 27
0.5%
11 Industrial arts; traders or technology 25
0.5%
12 Languages; linguistic or literature 24
0.4%
13 Law 146
2.7%
14 Libraries or museums 7
0.1%
15 Life sciences or physical sciences 52
0.9%
16 Mathematical sciences 17
0.3%
17 Military sciences 8
0.1%
18 Philosophy; religion or theology 34
0.6%
19 Physical education or leisure 7
0.1%
20 Psychology 53
1%
21 Public administration or social services 126
2.3%
22 Social sciences or social studies 78
1.4%
23 Other 353
6.4%
24 Management 217
3.9%
25 Marketing 95
1.7%
26 Information technology and computer science 165
3%
27 Finance; economics and accounting 149
2.7%
28 Office administration 181
3.3%
29 Electrical infrastructure construction 159
2.9%
30 Civil engineering and building construction 79
1.4%
31 Engineering 218
4%
32 Primary agriculture 5
0.1%
33 Hospitality 60
1.1%
34 Tourism 41
0.7%
35 Safety in society 80
1.5%
36 Mechatronics 25
0.5%
37 Education and development 45
0.8%
38 Other 226
4.1%
99 Unspecified 2
0%
Sysmiss 63484
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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