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    Home / Central Data Catalog / ZAF_2019_QLFS-Q3_V01_M / variable [F1]
central

Quarterly Labour Force Survey 2019, Quarter 3

South Africa, 2019
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Reference ID
ZAF_2019_QLFS-Q3_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
3487
Downloads
243
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  • zaf-statssa-qlfs-2019-q3-1.0

Study field (Q18FIELD)

Data file: zaf-statssa-qlfs-2019-q3-1.0

Overview

Valid: 5763
Invalid: 62212
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 74
1.3%
2 Architecture or environmental design 57
1%
3 Arts; Visual or Performing 76
1.3%
4 Business; commerce and management studies 745
12.9%
5 Communication 64
1.1%
6 Computer science 137
2.4%
7 Education; training or development 943
16.4%
8 Engineering or engineering technology 307
5.3%
9 Health care or health sciences 533
9.2%
10 Home economics 12
0.2%
11 Industrial arts; traders or technology 20
0.3%
12 Languages; linguistic or literature 17
0.3%
13 Law 142
2.5%
14 Libraries or museums 5
0.1%
15 Life sciences or physical sciences 31
0.5%
16 Mathematical sciences 10
0.2%
17 Military sciences 9
0.2%
18 Philosophy; religion or theology 34
0.6%
19 Physical education or leisure 9
0.2%
20 Psychology 54
0.9%
21 Public administration or social services 154
2.7%
22 Social sciences or social studies 86
1.5%
23 Other 390
6.8%
24 Management 262
4.5%
25 Marketing 95
1.6%
26 Information technology and computer science 163
2.8%
27 Finance; economics and accounting 198
3.4%
28 Office administration 158
2.7%
29 Electrical infrastructure construction 141
2.4%
30 Civil engineering and building construction 87
1.5%
31 Engineering 250
4.3%
32 Primary agriculture 13
0.2%
33 Hospitality 63
1.1%
34 Tourism 54
0.9%
35 Safety in society 103
1.8%
36 Mechatronics 16
0.3%
37 Education and development 40
0.7%
38 Other 210
3.6%
99 Unspecified 1
0%
Sysmiss 62212
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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