… of a gender analysis [1] is to identify inequalities and differences between women and men in all their diversity, as … education level, employment in different sectors, entrepreneurship in different sectors, salary levels, time … collected and presented, data should be disaggregated by sex as a primary, overall classification. For example, when …
… analysis of the intervention area (i.e. the analysis of differences in women’s and men’s situations and needs – in … relevant inequalities)? Are qualitative and quantitative sex-disaggregated data used to describe gender gaps and … arrangements and family-related leave Increase women’s entrepreneurship Increase the accessibility and quality of …
… Questions for gender equality indicators What are the differences in women’s and men’s ownership of the fleet and … the national ESF OP for ‘Growth and inclusion’. The use of sex-disaggregated indicators across all French ERDF and ESF … OP to enhance women’s employment, training, education and entrepreneurship. The French ESF has sex-disaggregated output …
… development, smart specialisation, industrial transition, entrepreneurship, SME incubation and spin-offs. This combines … Accurate, comprehensive local data – disaggregated by sex, age, disability, race and ethnicity – are essential to …
… target group, labour market or project? How might gender differences affect the chances of reaching EU Funds' goals … and political) affect the intervention because of the sex of or the gender roles attributed to men and women. Key … of both women and men. In each focus area (e.g. transport, entrepreneurship, youth unemployment), women’s and men’s …