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    Home / Central Data Catalog / RWA_2019_LFS_V01_M / variable [F1]
central

Labor Force survey 2019

Rwanda, 2019
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Reference ID
RWA_2019_LFS_v01_M
Producer(s)
National Institute of Statistics of Rwanda
Metadata
DDI/XML JSON
Created on
Jan 19, 2021
Last modified
Jan 19, 2021
Page views
5562
Downloads
189
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  • Labour force
    survey_2019.dta

Type of technical skills learned? (B10)

Data file: Labour force survey_2019.dta

Overview

Valid: 9147
Invalid: 72631
Minimum: 1
Maximum: 97
Type: Discrete
Decimal: 0
Start: 177
End: 178
Width: 2
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Masonry 1791
19.6%
2 Carpentry 543
5.9%
3 Automotive technology. 205
2.2%
4 Culinary arts 716
7.8%
5 Domestic Electricity 310
3.4%
6 Welding 236
2.6%
7 Plumbing 68
0.7%
8 Food processing 21
0.2%
9 Animal health 5
0.1%
10 Auto- Electricity 25
0.3%
11 Automotive body repair 593
6.5%
12 Computer maintenance 89
1%
13 Crop production 7
0.1%
14 Engine mechanics 133
1.5%
15 Forestry 0
0%
16 Music 19
0.2%
17 Painting and decoration 73
0.8%
18 Multimedia 13
0.1%
19 Networking 53
0.6%
20 Tailoring 2563
28%
21 Industrial electricity 37
0.4%
22 22. Civil construction 48
0.5%
23 Nursery growing 7
0.1%
24 Milk processing 2
0%
25 Livestock 10
0.1%
26 Horticulture production 1
0%
27 Food & Beverage services 53
0.6%
28 Front office 82
0.9%
29 House keeping 2
0%
30 Concrete masonry 3
0%
31 Leather craft 42
0.5%
32 Hairdressing 526
5.8%
33 Biding and Jewelries 52
0.6%
34 Software Development 71
0.8%
35 NCDs and Palliative Care Community Health 4
0%
36 Agriculture Mechanization 1
0%
37 Agri-Business 19
0.2%
38 Bee Keeping 3
0%
39 Manicure and Pedicure 13
0.1%
40 Beauty therapy 32
0.3%
41 Screen printing 15
0.2%
42 Sport and Medical Massage 6
0.1%
43 Crochet embroidery 303
3.3%
44 Pottery 17
0.2%
45 Motor vehicle engine mechanics 156
1.7%
46 Film making 42
0.5%
47 69
0.8%
48 5
0.1%
49 27
0.3%
97 36
0.4%
Sysmiss 72631
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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