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    Home / Central Data Catalog / RWA_2021_LFS_V01_M / variable [F2]
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Labour Force Survery 2021

Rwanda, 2021
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Reference ID
RWA_2021_LFS_v01_M
Producer(s)
National Institute of Statistics of Rwanda (NISR)
Metadata
DDI/XML JSON
Study website
Created on
Aug 03, 2023
Last modified
Aug 03, 2023
Page views
5868
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  • Labour force
    survey_2021_dataset_

Type of technical skills learned? (B10)

Data file: Labour force survey_2021_dataset_

Overview

Valid: 7688
Invalid: 64259
Type: Discrete
Decimal: 0
Width: 41
Range: 1 - 97
Format: Numeric

Questions and instructions

Categories
Value Category Cases
1 Masonry 1443
18.8%
2 Carpentry 464
6%
3 Automotive technology. 156
2%
4 Culinary arts 512
6.7%
5 Domestic Electricity 217
2.8%
6 Welding 203
2.6%
7 Plumbing 70
0.9%
8 Food processing 27
0.4%
9 Animal health 5
0.1%
10 Auto- Electricity 29
0.4%
11 Automotive body repair 464
6%
12 Computer maintenance 72
0.9%
13 Crop production 5
0.1%
14 Engine mechanics 97
1.3%
15 Forestry 4
0.1%
16 Music 3
0%
17 Painting and decoration 60
0.8%
18 Multimedia 19
0.2%
19 Networking 22
0.3%
20 Tailoring 2342
30.5%
21 Industrial electricity 47
0.6%
22 Ubwubatsi buhanitse/Cival Engeeniering 49
0.6%
23 Nursery growing 6
0.1%
24 Milk processing 3
0%
25 Livestock 2
0%
26 Horticulture production 1
0%
27 Food & Beverage services 48
0.6%
28 Front office 54
0.7%
29 House keeping 6
0.1%
30 Concrete masonry 1
0%
31 Leather craft 26
0.3%
32 Hairdressing 440
5.7%
33 Biding and Jewelries 29
0.4%
34 Software Development 35
0.5%
35 NCDs and Palliative Care Community Health 3
0%
36 Agriculture Mechanization 3
0%
37 Agri-Business 6
0.1%
38 Bee Keeping 2
0%
39 Manicure and Pedicure 10
0.1%
40 Beauty therapy 16
0.2%
41 Screen printing 17
0.2%
42 Sport and Medical Massage 5
0.1%
43 Crochet embroidery 130
1.7%
44 Pottery 30
0.4%
45 Motor vehicle engine mechanics 122
1.6%
46 Film making 33
0.4%
47 Chollegraphy 3
0%
48 Typing/Dactilography 13
0.2%
49 Chaufeur/Driver 243
3.2%
97 other (Specify) 91
1.2%
Sysmiss 64259
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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