Oecd Friends of gender group Inaugural Breakfast Thursday 8 March 2018 Gabriela Ramos OECD Chief of Staff and Sherpa to the G20

Many G20 and OECD countries are behind in achieving the 25x25 target Actual versus expected percentage point change in the gender gap in labour force participation 15-64 year-olds, 2012-2015 Note: The actual decline refers to the actual change in the gender gap in the labour force participation rate between 2012 and 2015. The expected decline is calculated assuming a linear decline in the gender gap between 2012 and 2025. For Argentina, the data for 2015 refer to Q2 2015. For India, the data refer to the population aged 15 and over. No recent data are available for China to calculate the actual decline in the gender gap. For China, the data for 2012 have been projected to calculate the expected decline in the gender gap. Data accessed March 2017. Source: OECD Secretariat calculations based on national labour force surveys

Slow progress in closing gender pay gap Gender gap in median monthly earnings full-time employees, 2010 and 2015 or latest available Note: The gender gap in median monthly earnings is defined as the difference between male and female median monthly earnings divided by male median monthly earnings for full-time employees. Full-time employees are defined as those individuals with usual weekly working hours equal to or greater than 30 hours per week. Data refer to weekly earnings for Australia, Canada, India, the United Kingdom and the United States, and to hourly wages for Portugal and Spain. For years see OECD (2017). Sources: OECD Employment Database (http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm) for OECD countries, Colombia and Costa Rica; and OECD Secretariat calculations based on the Encuesta Permanente de Hogares (EPH) for Argentina, the Pesquisa Nacional por Amostra de Domicílio (PNAD) for Brazil, the National Sample Survey (NSS) for India, the National Labour Force Survey (SAKERNAS) for Indonesia, and the General Household Survey (GHS) for South Africa. See OECD (2017), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/10.1787/888933574646.

Women are more likely to work part-time than men Percent of all employed in part-time employment, all ages, by sex, 2016 or latest Note: Part-time employment is based on a common 30-usual-hour cut-off in the main job. Source: OECD Employment Database, http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm

Women are less likely to study ICT and engineering at university

Men are four times more likely to be ICT specialists ICT specialists as a percentage of all male and female workers, 2014 Notes: ICT specialists are defined as individuals employed in “tasks related to developing, maintaining and operating ICT systems and where ICTs are the main part of their job”. ICT specialists’ figures are based on the following ISCO-08 3-digits occupations: 133, 215, 25, 35, 742. The 'OECD28 Total' is the weighted average for all 28 OECD countries with available data.. "Source: OECD (2016b), “Skills for a Digital World: 2016 Ministerial Meeting on the Digital Economy Background Report”, OECD Digital Economy Papers, No. 250, OECD Publishing, Paris, http://dx.doi.org/10.1787/5jlwz83z3wnw-en, see Source: OECD (2017), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris. http://dx.doi.org/10.1787/888933575558.

Women are under-represented in managerial positions Female share of management employment, all ages, 2015 or latest available year Notes: Data for the United States refer to 2013, and for Australia and Canada to 2014. Data on managerial employment refer to the female share of the employed that hold jobs classified in International Standard Classification of Occupations (ISCO) 08 category one (as managers) (ISCO 88 category one for Canada, Chile, and the United States). "Source: OECD (2017), The Pursuit of Gender Equality: An Uphill Battle, OECD Publishing, Paris, http://dx.doi.org/10.1787/9789264281318-en.

Women’s representation on boards is growing, slowly Female share of seats on boards of directors in publicly listed companies, 2013 and 2016 or latest available year

Men in OECD countries are almost twice as likely to be self-employed as women Self-employment rates (%) by gender, 15-64 year-olds, 2016 or latest available, and changes in the self-employment gender gap (male minus female), 15-64 year-olds, 2013-16 Note: The self-employment rate is defined as the share of self-employed among all employed. To improve international comparability, the figures for Australia, Canada, New Zealand & the United States include the unincorporated and incorporated self-employed. The gender gap is defined as the difference between the male self-employment rate and the female self-employment rate in a given year. The change in gender gap is the % point difference between the gender gap in 2016 and the gender gap in 2013.

Women do more unpaid work than men In Italy, Japan, Korea, Mexico, Portugal and Turkey, women undertake more than three quarters of all unpaid work

Gender differences in life satisfaction Note: Statistically significant values are marked in a darker tone (see Annex A3).Countries and economies are ranked in ascending order of the percentage-point difference between boys and girls who reported being very satisfied with their life. Source: OECD, PISA 2015 Database, Table III.3.8.

Thank you