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    Home / Central Data Catalog / ZAF_2019_QLFS-Q4_V01_M / variable [F1]
central

Quarterly Labour Force Survey 2019, Quarter 4

South Africa, 2019
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Reference ID
ZAF_2019_QLFS-Q4_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
3324
Downloads
262
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  • zaf-statssa-qlfs-2019-q4-1.0

Study field (Q18FIELD)

Data file: zaf-statssa-qlfs-2019-q4-1.0

Overview

Valid: 5770
Invalid: 61507
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 76
1.3%
2 Architecture or environmental design 47
0.8%
3 Arts; Visual or Performing 69
1.2%
4 Business; commerce and management studies 675
11.7%
5 Communication 63
1.1%
6 Computer science 150
2.6%
7 Education; training or development 977
16.9%
8 Engineering or engineering technology 329
5.7%
9 Health care or health sciences 529
9.2%
10 Home economics 12
0.2%
11 Industrial arts; traders or technology 27
0.5%
12 Languages; linguistic or literature 20
0.3%
13 Law 134
2.3%
14 Libraries or museums 5
0.1%
15 Life sciences or physical sciences 42
0.7%
16 Mathematical sciences 13
0.2%
17 Military sciences 10
0.2%
18 Philosophy; religion or theology 33
0.6%
19 Physical education or leisure 7
0.1%
20 Psychology 72
1.2%
21 Public administration or social services 171
3%
22 Social sciences or social studies 89
1.5%
23 Other 386
6.7%
24 Management 253
4.4%
25 Marketing 125
2.2%
26 Information technology and computer science 159
2.8%
27 Finance; economics and accounting 175
3%
28 Office administration 145
2.5%
29 Electrical infrastructure construction 139
2.4%
30 Civil engineering and building construction 83
1.4%
31 Engineering 238
4.1%
32 Primary agriculture 12
0.2%
33 Hospitality 64
1.1%
34 Tourism 59
1%
35 Safety in society 90
1.6%
36 Mechatronics 25
0.4%
37 Education and development 38
0.7%
38 Other 226
3.9%
99 Unspecified 3
0.1%
Sysmiss 61507
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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