Eurostat Overall approach to identifying a set of quality of life indicators Jean-Louis Mercy Eurostat.

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Presentation transcript:

Eurostat Overall approach to identifying a set of quality of life indicators Jean-Louis Mercy Eurostat

The recommendations from the sponsorship Quality of life is multidimensional Aim at data at individual level Links between dimensions Multiple (dis-)advantaged groups and specific subpopulations, incl. regional data Complement objective measures with perceived QoL  well-being Develop synthetic, primary and complementary indicators + headlines Scoreboard - no composite

Eurostat Statistical answers: the expert group Build on strengths (microdata, evolution) Use the system of social statistics EU-SILC: key role Income and living conditions closely linked to QoL – Multidimensionality of poverty and exclusion Longitudinal component Ad hoc module 2013 and regular question(s) Benefit from the re-design and modularisation Use other ESS data sources: LFS, EHIS, AES, TUS, HBS Use advanced techniques for timeliness and simultaneous use of different data sources Better analyse and disseminate: web site, annual report and 5 yearly comprehensive analysis

Eurostat Material living conditions Income Consumption Material conditions (deprivation, housing) Productive or main activity Employment, unempl, underempl. Quality of employment Health Outcomes (mortality, morbidity) Drivers: (un-)healthy behaviours Access Education Outcomes: competences and skills Life long learning Access to education Leisure and social interactions Quantity, quality and access to leisure Social interactions (activities with, for, supportive relationship, social cohesion) Economic and physical safety Economic (wealth, debt, income insecurity) Physical (crime, insecurity) Governance and basic rights Institutions and public services Equal opportunities Active citizenship Natural and living conditions Pollution Green and recreational spaces Landscape and built environment Overall experience of life Life satisfaction Affects Eudaemonics (meaning)

Eurostat From data to indicators Central and distributions Breakdowns Links

Eurostat Is this approach meaningful and relevant for the society and stakeholders? What do we miss?