Gender Equality Index Report - European Institute for Gender ...

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Table 3.2. Processing of variables Variables (X) Signs and Reversion Reference population used to express X in relative terms if needed Expression of the variable in relative terms if needed Variable used to calculate the correcting coefficient_____ Source Full-time equivalent employment + Not reversed 15+ population Full-time equivalent employment (% 15+ population) Original variable in relative terms Eurostat – EU Labour Force Survey Duration of working life (years) + Not reversed - Duration of working life (years) Original variable Eurostat – EU Labour Force Survey Employment in Education, Human Health and Social Work activities Employees with a fixed start and end of a working day or varying working time as decided by the employer Employment in Education, + Not reversed 15–64 employed Human Health and Social Work activities (% 15–64 employed) Employees with a non-fixed start + Not reversed 15–64 employed and end of a working day or varying working time as decided by the employer (% 15–64 employed) Employment in tertiary sector- NACE Rev. 2, categories G-U (% total employment) Original variable in relative terms Eurostat – EU Labour Force Survey Eurostat – EU Labour Force Survey Workers perceiving that their health or safety is not at risk because of their work + Not reversed 15+ workers Workers perceiving that their health or safety is not at risk because of their work (% 15+ workers) Original variable in relative terms Eurofound – European Working Conditions Survey Workers having undergone training paid for or provided by their employer or by themselves if self-employed + Not reversed 15+ workers Workers having undergone training paid for or provided by their employer or by themselves if self-employed (% 15+ workers) Original variable in relative terms Eurofound – European Working Conditions Survey Mean monthly earnings – NACE Rev. 2, categories B-S excluding O, 10 employees or more (PPS) + Not reversed - Mean monthly earnings – NACE Rev. 2, categories B-S excluding O, 10 employees or more (PPS) Original variable Eurostat – Structure of Earnings Survey Mean equivalised net income, 16+ population (PPS) + Not reversed - Mean equivalised net income (PPS,16+ population) Original variable Eurostat – EU Statistics on Income and Living Conditions At-risk-of-poverty, ≤60 % of median income – Reversed using the complementary 16+ population Not-at-risk-of-poverty, ≥60 % of median income (% 16+ population) Original variable in relative terms and reversed Eurostat – EU Statistics on Income and Living Conditions S80/S20 income quintile share, total population – Reversed using the inverse - S20/S80 income quintile share (total population) Original variable reversed Eurostat – EU Statistics on Income and Living Conditions Graduates of tertiary education + Not reversed 15–74 population Graduates of tertiary education (% 15–74 population) Original variable in relative terms Eurostat – EU Labour Force Survey Tertiary students in the fields of Education, Health and Welfare, Humanities and Art – ISCED 5–6 Tertiary students in the fields + Not reversed Tertiary students of Education, Health and Welfare, Humanities and Art – ISCED 5–6 (% tertiary students) Population with tertiary level of education attained – ISCED 5–6 (% 15–74 population) Eurostat – UNESCO/ OECD/Eurostat (UOE) questionnaires on Educational Statistics People participating in formal or non-formal education and training People participating in formal + Not reversed 15–74 population or non-formal education and training (% 15–74 population) Original variable in relative terms Eurostat – EU Labour Force Survey 40 Gender Equality Index – Report
Workers caring for and educating their children or grandchildren, everyday for one hour or more + Not reversed 15+ workers Workers caring for and educating their children or grandchildren, everyday for one hour or more (% 15+ workers) Original variable in relative terms Eurofound – European Working Conditions Survey Workers doing cooking and housework, everyday for one hour or more + Not reversed 15+ workers Workers doing cooking and housework, everyday for one hour or more (% 15+ workers) Original variable in relative terms Eurofound – European Working Conditions Survey Workers doing sporting, cultural or leisure activities outside of their home, at least every other day + Not reversed 15+ workers Workers doing sporting, cultural or leisure activities outside of their home, at least every other day (% 15+ workers) Original variable in relative terms Eurofound – European Working Conditions Survey Share of Ministers + Not reversed 18+ population Share of Ministers (% 18+ population) Not used EC-DG Justice – Women and Men in Decision Making Share of members of Parliament + Not reversed 18+ population Share of members of Parliament (% 18+ population) Not used EC-DG Justice – Women and Men in Decision Making Share of members of Regional Assemblies + Not reversed 18+ population Share of members of Regional Assemblies (% 18+ population) Not used EC-DG Justice – Women and Men in Decision Making Share of members of boards in largest quoted companies, supervisory board or board of directors + Not reversed 18+ population Share of members of boards in largest quoted companies, supervisory board or board of directors (% 18+ population) Not used EC-DG Justice – Women and Men in Decision Making Share of members in all key decision-making bodies in Central Bank + Not reversed 18+ population Share of members in all key decision-making bodies in Central Bank (% 18+ population) Not used EC-DG Justice – Women and Men in Decision Making Self-perceived health: good or very good + Not reversed 16+ population Self-perceived health, good or very good (% 16+ population) Original variable in relative terms Eurostat – EU Statistics on Income and Living Conditions Life expectancy in absolute value at birth (years) + Not reversed - Life expectancy in absolute value at birth (years) Original variable Eurostat – Demographic Statistics Healthy life years in absolute value at birth (years) + Not reversed - Healthy life years in absolute value at birth (years) Original variable Eurostat – EU Statistics on Income and Living Conditions combined with Eurostat’s Demographic Statistics Population without unmet needs for medical examination + Not reversed 16+ population Population without unmet needs for medical examination (% 16+ population) Original variable in relative terms Eurostat – EU Statistics on Income and Living Conditions Population without unmet needs for dental examination + Not reversed 16+ population Population without unmet needs for dental examination (% 16+ population) Original variable in relative terms Eurostat – EU Statistics on Income and Living Conditions Gender Equality Index – Report 41
Page 1 and 2: Gender Equality Index Report Report
Page 3 and 4: Halfway towards equality Equality b
Page 5 and 6: Contents Acknowledgements 2 1. Intr
Page 7 and 8: Finally, the report concludes with
Page 9 and 10: The measures range from getting mor
Page 11 and 12: Table 1.1. Existing gender indices
Page 13 and 14: The Gender Equality Index ensures t
Page 15 and 16: The gender framework developed by F
Page 17 and 18: equal work and work of equal value;
Page 19 and 20: Figure 2.1. Domains of the Gender E
Page 21 and 22: The second sub-domain examines gend
Page 23 and 24: Another important source of income,
Page 25 and 26: learning remains segregated in term
Page 27 and 28: The topic of power in decision-maki
Page 29 and 30: Figure 2.7. Domain of health and it
Page 31 and 32: complexity of the inequalities that
Page 33 and 34: disadvantage in terms of accessing
Page 35 and 36: 3.1. Indicators and measures During
Page 37 and 38: This yields values where 1 stands f
Page 39: age, as there is only one missing v
Page 43 and 44: Additionally, several variables wer
Page 45 and 46: Domain Conceptual framework Measure
Page 47 and 48: 3.2. Computing the Index The Gender
Page 49 and 50: The arithmetic mean allows full com
Page 51 and 52: Table 3.8. Mean experts’ weights
Page 53 and 54: Table 3.10. Pearson’s correlation
Page 55 and 56: Gender Equality Index - Report 55
Page 57 and 58: Table 4.1. Measurement framework fo
Page 59 and 60: 4.1.2. Duration of working life The
Page 61 and 62: Figure 4.5. Employment in the Educa
Page 63 and 64: The overall gender gap, for the per
Page 65 and 66: 4.1.6. Training at work The final i
Page 67 and 68: Table 4.2. Measurement framework fo
Page 69 and 70: 4.2.2. Mean equivalised income In a
Page 71 and 72: 4.2.3. Not-at-risk-of-poverty The f
Page 73 and 74: Figure 4.19. Income distribution (S
Page 75 and 76: 4.3.1. Tertiary education The gende
Page 77 and 78: On the contrary, at EU level in 201
Page 79 and 80: 4.3.3. Formal and non-formal educat
Page 81 and 82: Table 4.5. Measurement framework of
Page 83 and 84: 4.4.2. Cooking and housework Wide d
Page 85 and 86: Figure 4.32. Involvement in sportin
Page 87 and 88: Figure 4.35. Gender gap in involvem
Page 89 and 90: Figure 4.36. Ministers by sex in EU
Page 91 and 92:
Figure 4.38. Members of regional as
Page 93 and 94:
4.5.6. Summary Women, compared with
Page 95 and 96:
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
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5.2.2. Money matters The domain of
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Figure 5.4. Relationship between th
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The sub-domain educational attainme
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Table 5.5. Gender Equality Index sc
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In conclusion, gender equality in t
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Figure 5.10. Relationship between t
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Page 127 and 128:
Country Intersecting inequalities F
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Table 5.10. Gender Equality Index s
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The domain of violence, due to a la
Page 133 and 134:
Page 135 and 136:
Page 137 and 138:
methodology based on sound statisti
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is an important area of gender equa
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Women remain less likely to partici
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Sex-disaggregated indicators to mea
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7. Annexes Annex 1: Domains of the
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Table 1.3. Domains of the Index in
Page 149 and 150:
Table 1.5. Domains of the Index cov
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Women and the Economy (F) F1. Emplo
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G15. The proportion and number of w
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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
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Annex 5: Indicators correspondence
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Table 6.2 . Percentage of women (15
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Annex 8: Scores of the Gender Equal
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Annex 10: Scores of the Gender Equa
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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
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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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