… of the gender dimension; and collect and use data disaggregated by sex when possible/necessary. In Hungary , the Prime … is possible, focus more on outcomes (e.g. producing gender statistics as part of a research project) and less on …
… with 10 or more employees can be found in EIGE’s gender statistics database ( … and promotion Quarterly The main contractor will provide sex-disaggregated data for all managerial positions under the …
… different health needs throughout the life cycle? Are the statistics related to the healthcare / social care service sexdisaggregated? (This question is important when evaluating …
… and will have on Europe’s citizens. For this we need sex-disaggregated data and evidence. EIGE will be playing an … We plan to gather and publish sex-disaggregatedstatistics that reflect the impact of the pandemic on women …
… To support and monitor progress, we need reliable data disaggregated by sex. However, data focused on the transport sector has until … and men in decision-making entry point of EIGE’s Gender Statistics Database. Some key points coming out of the latest …
… in the security sector, lack of available, reliable data disaggregated by sex and of gender statistics, securitising women’s rights Gender inequalities …
… you should do the following: 1. Collect information and disaggregated data on the target group This means statistics that adequately reflect the target group, … collected and presented, data should be disaggregated by sex as a primary, overall classification. For example, when …
… in maritime Nomenclature of the Territorial Units for Statistics regions Change in the number of jobs (in full-time … the national ESF OP for ‘Growth and inclusion’. The use of sex-disaggregated indicators across all French ERDF and ESF OPs …
… and political) affect the intervention because of the sex of or the gender roles attributed to men and women. Key … women’s and men’s situatiosn must be described using sex-disaggregated data and gender-sensitive statistical …
… Consider using disaggregated data to inform any analytical exercises. This means that statistics on the target group are disaggregated by characteristics such as sex, gender, age, race, ethnicity, disability, socio-economic …