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    Home / Central Data Catalog / RWA-NISR-RLFS-2025-V0.1 / variable [F1]
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Rwanda Labour Force Survery 2025

Rwanda
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Reference ID
RWA-NISR-RLFS-2025-v0.1
Producer(s)
National Institute of Statistics of Rwanda (NISR)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 08, 2026
Last modified
Apr 08, 2026
Page views
28
Downloads
3
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  • RW_LFS2025

Type of technical skills learned? (B10)

Data file: RW_LFS2025

Overview

Valid: 13443
Invalid: 87409
Type: Discrete
Decimal: 0
Width: 41
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Masonry 2385
17.7%
2 Carpentry 771
5.7%
3 Automotive technology. 190
1.4%
4 Culinary arts 675
5%
5 Domestic Electricity 344
2.6%
6 Welding 412
3.1%
7 Plumbing 84
0.6%
8 Food processing 47
0.3%
9 Animal health 26
0.2%
10 Auto- Electricity 23
0.2%
11 Automotive body repair 605
4.5%
12 Computer maintenance 81
0.6%
13 Crop production 24
0.2%
14 Engine mechanics 119
0.9%
15 Forestry 7
0.1%
16 Music 19
0.1%
17 Painting and decoration 41
0.3%
18 Multimedia 48
0.4%
19 Networking 82
0.6%
20 Tailoring 4046
30.1%
21 Industrial electricity 64
0.5%
22 Ubwubatsi buhanitse/Cival Engeeniering 85
0.6%
23 Nursery growing 2
0%
24 Milk processing 5
0%
25 Livestock 14
0.1%
26 Horticulture production 5
0%
27 Food & Beverage services 43
0.3%
28 Front office 97
0.7%
29 House keeping 3
0%
30 Concrete masonry 6
0%
31 Leather craft 56
0.4%
32 Hairdressing 877
6.5%
33 Biding and Jewelries 86
0.6%
34 Software Development 109
0.8%
35 NCDs and Palliative Care Community Health 7
0.1%
36 Agriculture Mechanization 6
0%
37 Agri-Business 45
0.3%
38 Bee Keeping 4
0%
39 Manicure and Pedicure 13
0.1%
40 Beauty therapy 31
0.2%
41 Screen printing 10
0.1%
42 Sport and Medical Massage 9
0.1%
43 Crochet embroidery 476
3.5%
44 Pottery 13
0.1%
45 Motor vehicle engine mechanics 181
1.3%
46 Film making 36
0.3%
47 Chollegraphy 4
0%
48 Typing/Dactilography 26
0.2%
49 Chaufeur/Driver 752
5.6%
97 other (Specify) 349
2.6%
Sysmiss 87409
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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