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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