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    Home / Central Data Catalog / RWA-NISR-RLFS-2022-V0.1 / variable [F4]
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Rwanda Labour Force Survery 2022

Rwanda, 2022
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Reference ID
RWA-NISR-RLFS-2022-v0.1
Producer(s)
National Institute of Statistics of Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 03, 2023
Last modified
Apr 03, 2023
Page views
340401
Downloads
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  • Labour force
    survey_2022

Type of technical skills learned? (B10)

Data file: Labour force survey_2022

Overview

Valid: 7136
Invalid: 63288
Type: Discrete
Decimal: 0
Width: 41
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Masonry 1442
20.2%
2 Carpentry 393
5.5%
3 Automotive technology. 112
1.6%
4 Culinary arts 470
6.6%
5 Domestic Electricity 197
2.8%
6 Welding 205
2.9%
7 Plumbing 60
0.8%
8 Food processing 23
0.3%
9 Animal health 8
0.1%
10 Auto- Electricity 19
0.3%
11 Automotive body repair 453
6.3%
12 Computer maintenance 62
0.9%
13 Crop production 5
0.1%
14 Engine mechanics 57
0.8%
15 Forestry 2
0%
16 Music 3
0%
17 Painting and decoration 32
0.4%
18 Multimedia 11
0.2%
19 Networking 16
0.2%
20 Tailoring 2147
30.1%
21 Industrial electricity 46
0.6%
22 Ubwubatsi buhanitse/Cival Engeeniering 41
0.6%
23 Nursery growing 1
0%
24 Milk processing 2
0%
25 Livestock 5
0.1%
26 Horticulture production 6
0.1%
27 Food & Beverage services 41
0.6%
28 Front office 51
0.7%
29 House keeping 3
0%
30 Concrete masonry 2
0%
31 Leather craft 29
0.4%
32 Hairdressing 402
5.6%
33 Biding and Jewelries 47
0.7%
34 Software Development 45
0.6%
35 NCDs and Palliative Care Community Health 7
0.1%
36 Agriculture Mechanization 0
0%
37 Agri-Business 13
0.2%
38 Bee Keeping 0
0%
39 Manicure and Pedicure 14
0.2%
40 Beauty therapy 11
0.2%
41 Screen printing 5
0.1%
42 Sport and Medical Massage 5
0.1%
43 Crochet embroidery 102
1.4%
44 Pottery 7
0.1%
45 Motor vehicle engine mechanics 124
1.7%
46 Film making 40
0.6%
47 Colleography 2
0%
48 Typing(dactilographie) 10
0.1%
49 Driving 280
3.9%
97 Other 78
1.1%
Sysmiss 63288
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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