… should include data on relevant characteristics, such as age, race, ethnicity, location, education level, employment … data on ‘young people’ or ‘older people’, these target groups should be divided by sex. In addition to quantitative … spaces depends on characteristics such as their sex, age and location. But it also depends on other factors, such …
… data? Was it informed by consultations with target groups and other relevant institutional stakeholders? … gaps? Have there been demonstrable benefits for target groups? Are there any differences for women and men in the … adding disaggregated data on other characteristics such as age, economic status, race, ethnicity, disability, time use, …
… employed, including self-employed*, below 30 years of age *, above 54 years of age*, with lower secondary education or less (ISCED [3 ] … proportion of women and men in the targeted sectors and groups? Examples of indicators Average spending on measures …
… characteristics influence these effects, such as age, socio-economic status and education? Will both women and … of marginalised communities, migrants and disadvantaged groups, through integrated measures including housing and … assessments of the needs of women and men among these groups? Who lives in marginalised communities? Who are the …
… income levels and household types of migrants and other groups who may live in marginalised conditions? What … to better understand the needs and aspirations of these groups? Step 3: Take action Policy objective 1 is the main … Accurate, comprehensive local data – disaggregated by sex, age, disability, race and ethnicity – are essential to inform …