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Annex 7: Segregation by academic field. Female students (ISCED 5–6) enrolled by field as a percentage of male and female students in each field (2010) [educ_itertp] Country Education Humanities and art Social science, business and law Science, mathematics and computing Engineering, manufacturing, construction Agriculture and veterinary Health and welfare Services GINI coefficient EU27 77 65 58 38 25 49 74 49 0.36 BE 72 56 54 29 23 53 73 51 0.35 BG 72 69 64 47 32 48 67 46 0.29 CZ 79 67 62 35 25 57 78 43 0.40 DK 72 63 52 34 35 59 81 25 0.38 DE 71 66 51 36 18 48 77 47 0.44 EE 92 74 66 38 24 53 88 51 0.47 IE 76 60 54 38 16 43 76 46 0.41 EL 63 70 54 38 26 45 67 51 0.33 ES 77 59 58 33 28 46 73 50 0.37 FR 81 68 60 36 25 44 71 44 0.34 IT 92 73 58 52 30 47 66 47 0.34 CY 77 68 40 36 24 56 60 64 0.31 LV 83 77 68 32 21 51 85 57 0.41 LT 76 73 67 35 21 54 82 44 0.42 LU 70 61 52 33 18 : 71 : 0.30 HU 80 64 64 32 18 45 73 60 0.37 MT 82 60 58 47 26 36 63 57 0.27 NL 73 54 48 20 17 51 74 48 0.37 AT 76 66 56 36 23 60 64 51 0.35 PL 77 70 64 38 30 53 74 51 0.34 PT 83 56 58 46 26 55 77 44 0.40 RO 93 65 63 53 30 37 68 42 0.27 SI 81 69 68 39 25 56 77 52 0.40 SK 75 65 66 39 29 48 78 44 0.38 FI 80 71 60 39 19 51 83 68 0.52 SE 77 61 61 42 29 63 80 58 0.38 UK 76 61 55 37 19 63 77 57 0.38 : not available Cells are highlighted when women are under/over-represented in a given economical sector 30 % or below Under-representation of women, below a critical mass of women Between 31 and 40 % Under-representation of women above a critical mass of women Between 41 and 59 % Equality or near-equality Between 60 and 69 % Over-representation of women above a critical mass of men 70 % and above Over-representation of women below a critical mass of men 164 Gender Equality Index – Report
Annex 8: Scores of the Gender Equality Index and the domain of work Country Index Work Gap adjusted by levels of achievement FTE employment Duration of working life Participation Segregation and quality of work Sectoral segregation Gap adjusted by levels of achievement Flexibility of working time Health and safety Training at work AT 50.4 73.9 79.0 74.1 84.0 69.1 39.9 71.6 85.5 79.4 BE 59.6 66.4 70.7 66.5 74.8 62.3 41.2 51.6 89.1 67.3 BG 37.0 49.9 75.5 76.0 75.1 33.0 25.4 28.9 60.7 17.0 CY 42.0 68.7 84.9 87.1 82.7 55.6 49.1 47.7 76.0 49.6 CZ 44.4 71.6 77.3 78.4 76.1 66.4 25.9 60.5 89.6 89.7 DE 51.6 72.5 76.7 68.1 85.2 68.6 40.1 73.9 92.0 68.2 DK 73.6 81.6 90.1 85.8 94.3 73.9 45.8 64.6 99.5 85.8 EE 50.0 64.6 84.9 81.4 88.4 49.2 24.7 44.2 66.3 61.5 EL 40.0 59.7 65.4 62.0 68.9 54.4 44.0 82.2 64.2 27.2 ES 54.0 61.3 71.6 66.0 77.3 52.5 43.0 40.0 73.0 54.0 FI 73.4 82.0 88.3 86.3 90.4 76.1 31.8 91.6 88.1 92.8 FR 57.1 67.0 76.1 71.6 80.5 59.1 43.2 62.4 84.6 46.2 HU 41.4 55.9 68.3 68.2 68.4 45.7 31.9 26.9 73.6 50.4 IE 55.2 71.0 73.9 72.5 75.3 68.1 36.6 65.0 93.1 77.8 IT 40.9 60.6 57.8 54.9 60.7 63.4 35.8 75.7 93.9 48.4 LT 43.6 61.0 81.9 81.1 82.7 45.4 30.9 36.0 74.9 39.9 LU 50.7 66.4 70.3 70.2 70.4 62.7 53.0 45.3 88.1 64.2 LV 44.4 54.9 83.2 80.4 85.9 36.2 22.7 25.8 53.2 43.1 MT 41.6 55.0 53.0 51.7 54.3 57.0 45.5 45.6 77.7 59.4 NL 69.7 73.1 77.6 64.8 90.4 68.8 36.9 49.8 94.6 94.0 PL 44.1 61.4 73.4 74.3 72.6 51.3 25.2 46.4 70.4 63.1 PT 41.3 66.2 85.6 83.6 87.7 51.1 28.6 43.6 84.6 47.7 RO 35.3 60.4 74.5 76.7 72.3 49.0 20.9 63.6 75.1 36.3 SE 74.3 78.6 91.2 86.2 96.3 67.7 38.1 73.2 64.6 95.0 SI 56.0 69.1 82.7 83.9 81.5 57.7 27.7 39.4 70.6 93.1 SK 40.9 61.0 75.3 76.8 73.8 49.3 22.3 33.1 72.2 69.7 UK 60.4 76.6 79.7 72.4 86.9 73.7 42.4 74.9 91.7 85.9 EU-27 54.0 69.0 76.6 74.1 79.0 62.2 37.0 62.5 84.5 65.0 Gender Equality Index – Report 165
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Gender Equality Index Report Report
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Halfway towards equality Equality b
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Contents Acknowledgements 2 1. Intr
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Finally, the report concludes with
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The measures range from getting mor
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Table 1.1. Existing gender indices
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The Gender Equality Index ensures t
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The gender framework developed by F
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equal work and work of equal value;
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Figure 2.1. Domains of the Gender E
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The second sub-domain examines gend
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Another important source of income,
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learning remains segregated in term
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The topic of power in decision-maki
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Figure 2.7. Domain of health and it
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complexity of the inequalities that
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disadvantage in terms of accessing
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3.1. Indicators and measures During
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This yields values where 1 stands f
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age, as there is only one missing v
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Workers caring for and educating th
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Additionally, several variables wer
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Domain Conceptual framework Measure
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3.2. Computing the Index The Gender
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The arithmetic mean allows full com
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Table 3.8. Mean experts’ weights
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Table 3.10. Pearson’s correlation
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Gender Equality Index - Report 55
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Table 4.1. Measurement framework fo
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4.1.2. Duration of working life The
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Figure 4.5. Employment in the Educa
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The overall gender gap, for the per
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4.1.6. Training at work The final i
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Table 4.2. Measurement framework fo
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4.2.2. Mean equivalised income In a
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4.2.3. Not-at-risk-of-poverty The f
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Figure 4.19. Income distribution (S
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4.3.1. Tertiary education The gende
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On the contrary, at EU level in 201
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4.3.3. Formal and non-formal educat
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Table 4.5. Measurement framework of
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4.4.2. Cooking and housework Wide d
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Figure 4.32. Involvement in sportin
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Figure 4.35. Gender gap in involvem
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Figure 4.36. Ministers by sex in EU
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Figure 4.38. Members of regional as
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4.5.6. Summary Women, compared with
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Figure 4.41. Good or very good self
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Figure 4.44. Life expectancy by gen
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The issue of unmet medical needs is
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Figure 4.50. Individuals without un
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Figure 4.51. Employment rates for p
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4.7.3. Employment for lone parents/
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4.8.1. Direct violence The first su
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Table 5.1. Scores of the Gender Equ
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Participation is measured by focusi
Page 113 and 114: 5.2.2. Money matters The domain of
Page 115 and 116: Figure 5.4. Relationship between th
Page 117 and 118: The sub-domain educational attainme
Page 119 and 120: Table 5.5. Gender Equality Index sc
Page 121 and 122: In conclusion, gender equality in t
Page 123 and 124: Figure 5.10. Relationship between t
Page 127 and 128: Country Intersecting inequalities F
Page 129 and 130: Table 5.10. Gender Equality Index s
Page 131 and 132: The domain of violence, due to a la
Page 137 and 138: methodology based on sound statisti
Page 139 and 140: is an important area of gender equa
Page 141 and 142: Women remain less likely to partici
Page 143 and 144: Sex-disaggregated indicators to mea
Page 145 and 146: 7. Annexes Annex 1: Domains of the
Page 147 and 148: Table 1.3. Domains of the Index in
Page 149 and 150: Table 1.5. Domains of the Index cov
Page 151 and 152: Women and the Economy (F) F1. Emplo
Page 153 and 154: G15. The proportion and number of w
Page 155 and 156: Annex 3: Correlation matrix of the
Page 157 and 158: Domain Money Money Financial resour
Page 159 and 160: 2.5 Screeplot: Time 2.0 1.5 1.0 0.5
Page 161 and 162: Annex 5: Indicators correspondence
Page 163: Table 6.2 . Percentage of women (15
Page 167 and 168: Annex 10: Scores of the Gender Equa
Page 169 and 170: Annex 12: Scores of the Gender Equa
Page 171 and 172: 8. References Anker, R. (1998), Gen
Page 173 and 174: Cueva, B. H. (2006), ‘What is Mis
Page 175 and 176: European Commission (2010), Communi
Page 177 and 178: Hakim, C. (1996), Key Issues in wom
Page 179 and 180: Rubery, J. (2002),’Gender mainstr
Page 181 and 182: European Institute for Gender Equal
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