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    Home / Central Data Catalog / ZAF_2019_QLFS-Q1_V01_M / variable [F1]
central

Quarterly Labour Force Survey 2019, Quarter 1

South Africa, 2019
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Reference ID
ZAF_2019_QLFS-Q1_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
9188
Downloads
916
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  • qlfs-2019-q1-worker-1.0-stata11

Study field (Q18FIELD)

Data file: qlfs-2019-q1-worker-1.0-stata11

Overview

Valid: 5652
Invalid: 61828
Type: Discrete
Decimal: 0
Start: 27
End: 28
Width: 2
Range: 1 - 38
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Agriculture or Renewable natural resources 75
1.3%
2 Architecture or environmental design 44
0.8%
3 Arts; Visual or Performing 70
1.2%
4 Business; commerce and management studies 715
12.7%
5 Communication 73
1.3%
6 Computer science 149
2.6%
7 Education; training or development 923
16.3%
8 Engineering or engineering technology 332
5.9%
9 Health care or health sciences 534
9.4%
10 Home economics 13
0.2%
11 Industrial arts; traders or technology 20
0.4%
12 Languages; linguistic or literature 25
0.4%
13 Law 135
2.4%
14 Libraries or museums 8
0.1%
15 Life sciences or physical sciences 40
0.7%
16 Mathematical sciences 15
0.3%
17 Military sciences 13
0.2%
18 Philosophy; religion or theology 33
0.6%
19 Physical education or leisure 13
0.2%
20 Psychology 52
0.9%
21 Public administration or social services 141
2.5%
22 Social sciences or social studies 71
1.3%
23 Other 369
6.5%
24 Management 214
3.8%
25 Marketing 106
1.9%
26 Information technology and computer science 134
2.4%
27 Finance; economics and accounting 203
3.6%
28 Office administration 175
3.1%
29 Electrical infrastructure construction 152
2.7%
30 Civil engineering and building construction 85
1.5%
31 Engineering 225
4%
32 Primary agriculture 5
0.1%
33 Hospitality 63
1.1%
34 Tourism 53
0.9%
35 Safety in society 86
1.5%
36 Mechatronics 19
0.3%
37 Education and development 35
0.6%
38 Other 234
4.1%
Sysmiss 61828
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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