How's life? 2015 measuring well-being

How's Life? describes the essential ingredients that shape people's well-being in OECD and partner countries. It includes a wide variety of statistics, capturing both material well-being (such as income, jobs and housing) and the broader quality of people's lives (such as their health...

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Bibliographic Details
Main Author: Organisation for Economic Co-operation and Development (author)
Corporate Author: Organisation for Economic Co-operation and Development, author (author)
Format: eBook
Language:Inglés
Published: Paris : OECD [2015]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009706340106719
Table of Contents:
  • Intro
  • Foreword
  • Editorial: Better lives, today and tomorrow
  • Table of contents
  • Reader's guide
  • Executive summary
  • Chapter 1 Well-being today and tomorrow: An overview
  • Introduction
  • Figure 1.1. The OECD framework for measuring well-being
  • Box 1.1. The OECD approach to measuring well-being
  • Current well-being: How's life in OECD countries?
  • Table 1.1. Headline indicators of current well-being
  • Strengths and weaknesses in well-being at different levels of GDP per capita
  • Box 1.2. Assessing comparative strengths and weaknesses in well-being at different levels of GDP per capita
  • Figure 1.2. Well-being strengths and weaknesses in OECD countries with the highest GDP per capita
  • Figure 1.3. Well-being strengths and weaknesses in OECD countries with intermediate GDP per capita
  • Figure 1.4. Well-being strengths and weaknesses in OECD countries with the lowest GDP per capita
  • Going beyond the average: How are well-being outcomes distributed?
  • How's life changed in the past few years?
  • Material well-being has been getting better for some, but worse for others
  • Changes in quality of life since 2009 have been mixed
  • Resources for well-being in the future
  • Which aspects of well-being matter the most, and to whom?
  • Box 1.3. The Better Life Index: How it works
  • Figure 1.5. The Better Life Index
  • Figure 1.6. Well-being priorities among Better Life Index users in OECD countries
  • Box 1.4. Measuring what matters to people
  • Measuring and using well-being data: an update on OECD and partner activities
  • Box 1.5. The OECD Job Quality Framework
  • Box 1.6. Bringing well-being statistics into OECD policy advice
  • Box 1.7. Sustainable Development Goals and the post-2015 development agenda
  • Notes
  • References
  • Annex 1.A Well-being strengths and weaknesses at the country level.
  • Figure 1.A.1. Relative well-being strengths and weaknesses, by country
  • Annex 1.B Better Life Index user ratings, by age
  • Figure 1.B.1. Better Life Index user ratings of education, income, life satisfaction and work-life balance, at different ages
  • Figure 1.B.2. Better Life Index user ratings of environment, health, civic engagement and safety, at different ages
  • Chapter 2 How's life? in figures
  • Income and wealth
  • Figure 2.1. Household net adjusted disposable income
  • Figure 2.2. Household net financial wealth
  • Figure 2.3. Mean and median net wealth per household, including non-financial assets
  • Box 2.1. Measuring household income and wealth and their distribution
  • The distribution of income and wealth
  • Figure 2.4. Gini index of income inequality
  • Figure 2.5. Inter-decile income share ratio (S90/S10)
  • Figure 2.6. The distribution of household net wealth
  • Jobs and earnings
  • Figure 2.7. Employment rate
  • Figure 2.8. Long-term unemployment rate
  • Figure 2.9. Probability of becoming unemployed
  • Figure 2.10. Average annual gross earnings per full-time employee
  • Measuring job quality: The OECD Job Quality Framework
  • Figure 2.11. Job quality in OECD countries
  • Box 2.2. Measuring jobs and earnings
  • The distribution of jobs and earnings
  • Figure 2.12. Differences in long-term unemployment rates for young and prime-aged workers
  • Figure 2.13. Changes in long-term unemployment from 2009 to 2014, by age
  • Figure 2.14. Gender differences in long-term unemployment rates
  • Housing conditions
  • Figure 2.15. Rooms per person
  • Figure 2.16. People living in dwellings without basic sanitary facilities
  • Figure 2.17. Housing expenditure
  • Box 2.3. Measuring housing conditions
  • Health Status
  • Figure 2.18. Life expectancy at birth
  • Figure 2.19. Perceived health status
  • Box 2.4. Measuring health status.
  • The distribution of health outcomes
  • Figure 2.20. The gap in perceived health between high and low income groups
  • Work-life balance
  • Figure 2.21. Employees working very long hours
  • Figure 2.22. Time devoted to leisure and personal care
  • Box 2.5. Measuring work-life balance
  • The distribution of work-life balance outcomes
  • Figure 2.23. Time spent on leisure and personal care for men and women
  • Education and skills
  • Figure 2.24. Educational attainment of the adult working-age population
  • Figure 2.25. Cognitive skills of 15-year-old students
  • Box 2.6. Measuring education and skills
  • Figure 2.26. Competencies of the adult population
  • The distribution of education and skills
  • Figure 2.27. Educational attainment among younger and older adults of working age
  • Social connections
  • Figure 2.28. Perceived social network support
  • Box 2.7. Measuring social connections
  • The distribution of social connections
  • Figure 2.29. Differences in social support among different age groups
  • Civic engagement and governance
  • Figure 2.30. Voter turnout
  • Table 2.1. Government stakeholder engagement when developing regulations
  • Figure 2.31. Changes in government consultation on rule-making over time
  • Box 2.8. Measuring civic engagement and governance
  • The distribution of civic engagement
  • Environment quality
  • Figure 2.32. Annual exposure to PM2.5 air pollution
  • Figure 2.33. Population exposed to PM2.5 air pollution, by different thresholds
  • Figure 2.34. Satisfaction with local water quality
  • Box 2.9. Measuring environmental quality
  • Personal security
  • Figure 2.35. Deaths due to assault
  • Figure 2.36. Self-reported victimisation
  • Box 2.10. Measuring personal security
  • Figure 2.37. Feelings of safety when walking alone at night
  • The distribution of personal security.
  • Figure 2.38. Deaths due to assault among men and women
  • Figure 2.39. Feelings of safety among men and women
  • Figure 2.40. Feelings of safety among people of different ages
  • Subjective well-being
  • Figure 2.41. Life satisfaction and feeling life is worthwhile
  • Figure 2.42. People's evaluations of their lives as a whole
  • Figure 2.43. Positive affect balance
  • Box 2.11. Measuring subjective well-being
  • The distribution of subjective well-being
  • Figure 2.44. Life evaluations among people of different ages
  • Figure 2.45. Positive affect balance among people of different ages
  • Notes
  • References
  • Chapter 3 Resources for future well-being
  • Box 3.1. Measuring the capital stocks that support well-being over time
  • Figure 3.1. Capital stocks featured in the How's Life? framework for measuring well-being
  • Table 3.1. Illustrative indicators to monitor resources for future well-being, as shown in Chapters 2 and 3
  • Natural capital
  • Box 3.2. Illustrative indicators for measuring natural capital
  • Figure 3.2. Forest area
  • Figure 3.3. Greenhouse gas emissions from domestic production
  • Figure 3.4. Total renewable freshwater resources
  • Figure 3.5. Freshwater abstractions
  • Figure 3.6. Threatened species, latest available year
  • Human capital
  • Box 3.3. Illustrative indicators for measuring human capital
  • Figure 3.7. Educational attainment among 25-34 year olds
  • Figure 3.8. Educational expectancy
  • Figure 3.9. Smoking prevalence
  • Figure 3.10. Smoking prevalence among men and women
  • Figure 3.11. Obesity
  • Figure 3.12. Obesity among men and women
  • Social capital
  • Figure 3.13. Trust in others, European countries
  • Box 3.4. Illustrative indicators for measuring social capital
  • Figure 3.14. Trust in public institutions, European countries
  • Figure 3.15. OECD average trust in governments over time
  • Economic capital.
  • Figure 3.16. Household debt
  • Figure 3.17. Net fixed assets per capita
  • Box 3.5. Illustrative indicators for measuring economic capital
  • Figure 3.18. Gross fixed capital formation, OECD average volume
  • Figure 3.19. Intellectual property products
  • Figure 3.20. Investment in R&D
  • Figure 3.21. Financial net worth of the total economy
  • Figure 3.22. Leverage of the banking sector
  • Figure 3.23. Financial net worth of general government
  • Notes
  • References
  • Chapter 4 How's life for children?
  • Introduction: Why child well-being matters
  • Box 4.1. International and national initiatives on measuring child well-being
  • Measuring child well-being
  • How to define child well-being?
  • Box 4.2. Defining child well-being: insights from the academic literature
  • Dimensions of child well-being and selection of indicators
  • Table 4.1. Dimensions and indicators of child well-being
  • Box 4.3. International surveys on children's quality of life
  • Box 4.4. Correcting for non-response biases in survey data
  • Figure 4.1. Overweight children
  • Measurement challenges
  • Box 4.5. New international surveys on child well-being
  • Evidence on child well-being
  • Comparative analysis of various aspects of child well-being
  • Figure 4.2. Disposable income per child
  • Figure 4.3. Child poverty rate
  • Figure 4.4. Children living in workless households
  • Figure 4.5. Children with a long-term unemployed parent
  • Figure 4.6. Average rooms per person in households with children
  • Figure 4.7. Children living in households without basic facilities
  • Figure 4.8. Children living in poor environmental conditions
  • Figure 4.9. Infant mortality
  • Figure 4.10. Children born underweight
  • Figure 4.11. Teenagers reporting poor health
  • Figure 4.12. Children who are either overweight or obese
  • Figure 4.13. Child suicide rates.
  • Figure 4.14. Teenage birth rates.