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Table 4 Top 10 occupations in abstract, routine, and manual task Intensity: survey vs expert data

From: On the measurement of tasks: does expert data get it right?

BIBB/BAuA Employment Surveys

BERUFENET

Abstract

 1

Glass Designing

0.81

1

Veterinary Medicine

1.00

 2

Presenter and Hosts

0.68

2

Teachers (University)

1.00

 3

Lobbyist

0.68

3

Musicians

1.00

 4

Teachers (extra-curricular in driving and sports)

0.68

4

Social Scienstists

0.99

 5

Teachers (extra-curricular for adults)

0.68

5

Teachers (extra-curricular for adults)

0.98

 6

Economists

0.67

6

Humanities Scholars

0.98

 7

Retail Jobs (Antiques, Arts, Books, Music)

0.66

7

Dentistry

0.98

 8

Event Management

0.65

8

Teacher (General)

0.97

 9

Public Relations Work

0.65

9

Public Relations Work

0.95

 10

Management

0.65

10

Linguist and Literary Scholars

0.98

Routine

 1

Musical Instrument Making

0.73

1

Metal Production

0.95

 2

Ceramic Production

0.72

2

Printmaking

0.89

 3

Printmaking

0.67

3

Metal Finishing

0.88

 4

Metaldesigning

0.67

4

Plastics Manufacturing

0.87

 5

Metalworking

0.67

5

Ceramic Production

0.87

 6

Cartography

0.64

6

Glassmaking

0.87

 7

Textile Manufacturing

0.63

7

Precision Engineering

0.82

 8

Construction Plant Operators

0.61

8

Production of Beverages

0.81

 9

Warehousing and Logistics

0.60

9

Mechatronics

0.80

 10

Mineral Processing

0.59

10

Chemists

0.80

Manual

 1

Cleaning

0.68

1

Motorists

1.00

 2

Animal Care

0.63

2

Building Engineering

0.87

 3

Groom

0.62

3

Civil Engineering

0.86

 4

Traffic Control

0.45

4

Traffic Control

0.82

 5

Housekeepipng

0.43

5

Body Care

0.81

 6

Building Technology

0.41

6

Groom

0.80

 7

Eldercare

0.38

7

Animal Care

0.75

 8

Arts and Crafts

0.36

8

Cleaning

0.74

 9

Food Preparation

0.33

9

Floristry

0.72

 10

Catering

0.32

10

Drywall Installation

0.68

N = 27,777

     
  1. Occupations are defined at the 3-digit level, comprising a total of 139 professions. I use BIBB/BAuA data that has been collected in 2011–12 and 2017–18, and data from BERUFENET, covering the years 2011–13. For the BIBB/BAuA data, see Hall et al. (2020b) and (Hall et al. (2020a), respectively. For the BERUFENET data, see Dengler et al. (2014)