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Table 5 Dropout per gender in major knowledge areas (public institutions)

From: Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses

Detailed area

Dropout (%)—public institutions

Male

Female

2010

2011

2012

2013

2014

2010

2011

2012

2013

2014

Education

16.66

15.67

17.66

17.89

16.22

12.07

11.67

13.10

13.49

12.62

Humanities and Arts

16.20

14.53

13.68

15.87

13.28

13.39

12.63

11.52

14.15

12.36

Social Sciences, Business, and Law

11.58

11.25

11.61

12.03

11.95

9.26

8.96

9.14

9.76

9.32

Science, Mathematics, and Computing

15.47

14.91

16.11

15.65

16.28

13.97

13.42

14.22

14.57

15.48

Engineering, Production, and Construction

12.42

11.29

11.82

10.69

11.34

9.79

9.61

9.90

9.32

9.94

Agriculture and Veterinary Medicine

10.79

10.27

11.54

10.86

11.63

9.63

9.20

10.45

9.98

10.42

Health and Social Welfare

8.70

7.68

7.67

8.20

8.54

7.61

6.64

5.73

6.94

7.01

Services

15.06

15.47

16.64

17.30

18.49

12.71

11.64

13.08

14.29

14.51