74 datasets found
  1. Quality of life sub-index in the Global Retirement Index 2023

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Quality of life sub-index in the Global Retirement Index 2023 [Dataset]. https://www.statista.com/statistics/1337088/global-retirement-index-quality-life/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    Finland leads the quality of life sub-index in the Global Retirement Index 2023 with a score of ** percent. All four Nordic neighbors (Denmark, Sweden, Norway, and Iceland) follow behind together with Switzerland, with index scores ranging from ** to ** percent. Norway tops the Retirement Index, an index which measures the quality and security for pensioners.

  2. Quality of life index: score by category in Europe 2025

    • statista.com
    Updated Jan 8, 2025
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    Statista (2025). Quality of life index: score by category in Europe 2025 [Dataset]. https://www.statista.com/statistics/1541464/europe-quality-life-index-by-category/
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    Dataset updated
    Jan 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Europe
    Description

    Luxembourg stands out as the European leader in quality of life for 2025, achieving a score of 220 on the Quality of Life Index. The Netherlands follows closely behind with 211 points, while Albania and Ukraine rank at the bottom with scores of 104 and 115 respectively. This index provides a thorough assessment of living conditions across Europe, reflecting various factors that shape the overall well-being of populations and extending beyond purely economic metrics. Understanding the quality of life index The quality of life index is a multifaceted measure that incorporates factors such as purchasing power, pollution levels, housing affordability, cost of living, safety, healthcare quality, traffic conditions, and climate, to measure the overall quality of life of a Country. Higher overall index scores indicate better living conditions. However, in subindexes such as pollution, cost of living, and traffic commute time, lower values correspond to improved quality of life. Challenges affecting life satisfaction Despite the fact that European countries register high levels of life quality by for example leading the ranking of happiest countries in the world, life satisfaction across the European Union has been on a downward trend since 2018. The EU's overall life satisfaction score dropped from 7.3 out of 10 in 2018 to 7.1 in 2022. This decline can be attributed to various factors, including the COVID-19 pandemic and economic challenges such as high inflation. Rising housing costs, in particular, have emerged as a critical concern, significantly affecting quality of life. This issue has played a central role in shaping voter priorities for the European Parliamentary Elections in 2024 and becoming one of the most pressing challenges for Europeans, profoundly influencing both daily experiences and long-term well-being.

  3. Quality of life index VS level of happiness

    • zenodo.org
    csv
    Updated Jan 24, 2020
    + more versions
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    Ekaterina Bunina; Ekaterina Bunina (2020). Quality of life index VS level of happiness [Dataset]. http://doi.org/10.5281/zenodo.1470818
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    csvAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ekaterina Bunina; Ekaterina Bunina
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Quality of Life Index (higher is better) is an estimation of overall quality of life by using an empirical formula which takes into account purchasing power index (higher is better), pollution index (lower is better), house price to income ratio (lower is better), cost of living index (lower is better), safety index (higher is better), health care index (higher is better), traffic commute time index (lower is better) and climate index (higher is better).

    Current formula (written in Java programming language):

    index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 10 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

    For details how purchasing power (including rent) index, pollution index, property price to income ratios, cost of living index, safety index, climate index, health index and traffic index are calculated please look up their respective pages.

    Formulas used in the past

    Formula used between June 2017 and Decembar 2017

    We decided to decrease weight from costOfLivingIndex in this formula:

    index.main = Math.max(0, 100 + purchasingPowerInclRentIndex / 2.5 - (housePriceToIncomeRatio * 1.0) - costOfLivingIndex / 5 + safetyIndex / 2.0 + healthIndex / 2.5 - trafficTimeIndex / 2.0 - pollutionIndex * 2.0 / 3.0 + climateIndex / 3.0);

    The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

    The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for 2017 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.

    Quality of life index, link: https://www.numbeo.com/quality-of-life/indices_explained.jsp

    Happiness store, link: https://www.kaggle.com/unsdsn/world-happiness/home

  4. Digital Quality of Life index in China 2023, by pillar

    • statista.com
    Updated Sep 26, 2023
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    Statista (2023). Digital Quality of Life index in China 2023, by pillar [Dataset]. https://www.statista.com/statistics/1415490/digital-quality-of-life-index-in-china-by-pillar/
    Explore at:
    Dataset updated
    Sep 26, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    China
    Description

    China ranked ****** in Asia in terms of the digital wellbeing. In a 2023 global evaluation, Digital Quality of Life index, covering *** countries, China scored an average of **** points in five digital aspects. Internet quality and e-government were the country's strengths.

  5. Digital Quality of Life index Thailand 2023, by pillar

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Digital Quality of Life index Thailand 2023, by pillar [Dataset]. https://www.statista.com/statistics/1344580/digital-quality-of-life-index-in-thailand-by-pillar/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Thailand
    Description

    In a 2023 global evaluation called the Digital Quality of Life index covering *** countries, Thailand scored an average of **** points in five digital aspects. Electronic infrastructure and government were the country's strengths.

  6. Digital Quality of Life index India 2023, by pillar

    • ai-chatbox.pro
    • statista.com
    Updated Oct 11, 2023
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    Statista (2023). Digital Quality of Life index India 2023, by pillar [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1417670%2Findia-digital-quality-of-life-index-by-pillar%2F%23XgboD02vawLYpGJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Oct 11, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    India
    Description

    In a 2023 global evaluation called the Digital Quality of Life index covering 121 countries, India scored an average of 0.52 points in five digital aspects. The country ranked 52nd globally and 13th in Asia. E-government and electronic infrastructure were the country's strengths.

  7. Digital Quality of Life index Philippines 204, by pillar

    • statista.com
    Updated May 9, 2025
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    Statista (2025). Digital Quality of Life index Philippines 204, by pillar [Dataset]. https://www.statista.com/statistics/1416835/digital-quality-of-life-index-in-the-philippines-by-pillar/
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    Dataset updated
    May 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Philippines
    Description

    In a 2024, global evaluation called the Digital Quality of Life index covering 121 countries, the Philippines scored an average of **** points in five digital aspects. Electronic infrastructure and e-government were the country's strengths.

  8. G

    Happiness index by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 18, 2016
    + more versions
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    Globalen LLC (2016). Happiness index by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/happiness/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Nov 18, 2016
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2013 - Dec 31, 2024
    Area covered
    World, World
    Description

    The average for 2024 based on 138 countries was 5.56 points. The highest value was in Finland: 7.74 points and the lowest value was in Afghanistan: 1.72 points. The indicator is available from 2013 to 2024. Below is a chart for all countries where data are available.

  9. f

    Data from: Socio-Economic Development of the Country as a Predictor of Its...

    • figshare.com
    pdf
    Updated Nov 21, 2024
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    Igor Britchenko (2024). Socio-Economic Development of the Country as a Predictor of Its National Security [Dataset]. http://doi.org/10.6084/m9.figshare.27886209.v1
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    pdfAvailable download formats
    Dataset updated
    Nov 21, 2024
    Dataset provided by
    figshare
    Authors
    Igor Britchenko
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Purpose: The article examines specific factors of socio-economic development in the context of national security. The purpose of the current work is to identify the connections between selected indicators of socio-economic development and the level of national security, in the context of improving the quality of life for all citizens. Design/Methodology/Approach: The process of globalization has caused changes that manifest in various spheres of human life. One of the main positive aspects of the globalization process, which affects the quality of human life, is regional development. This can be measured using selected socio-economic indicators. Findings: Regional development is not the only factor that affects the quality of human life. Negative aspects of the socio-economic development process, such as illegal migration and the overall increase in crime, have made the issue of national security extremely relevant for every country. Practical Implications: One of the numerous aspects of national security that negatively affects the quality of human life, as well as the overall perception of the globalization process, is migration and the crimes committed by foreigners in certain countries. Originality/Value: Since the goal of socio-economic development is to improve the quality of human life, it is also necessary in this context to address the security issues of each citizen in a given country, which, overall, is a component of national security.

  10. g

    LEVEL OF SOCIAL PROGRESS

    • global-relocate.com
    Updated Jan 28, 2025
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    Global Relocate (2024). LEVEL OF SOCIAL PROGRESS [Dataset]. https://global-relocate.com/rankings/level-of-social-progress
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    Dataset updated
    Jan 28, 2025
    Dataset provided by
    Global Relocate
    Description

    The Social Progress Index ranks countries based on the well-being and quality of life of their citizens, considering factors such as access to education, healthcare, human rights, and environmental sustainability.

  11. Digital Quality of Life index South Korea 2023, by pillar

    • statista.com
    Updated Jul 10, 2025
    + more versions
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    Statista (2025). Digital Quality of Life index South Korea 2023, by pillar [Dataset]. https://www.statista.com/statistics/1416833/south-korea-digital-quality-of-life-index-by-pillar/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    South Korea
    Description

    In a 2023 global evaluation for the Digital Quality of Life index, which covers *** countries, South Korea scored an average of **** points in five digital aspects, ranking third in Asia in terms of digital well-being. Electronic infrastructure and digital government scored especially high.

  12. w

    Resources of Global City Comparison Indicators

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    Updated Sep 26, 2015
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    London Datastore Archive (2015). Resources of Global City Comparison Indicators [Dataset]. https://data.wu.ac.at/schema/datahub_io/NWMyNzM0OTYtMDE3Yi00MDU2LWI4NjItYjI1NWRhN2UwZDlh
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    Dataset updated
    Sep 26, 2015
    Dataset provided by
    London Datastore Archive
    Description
  13. Digital Quality of Life index in Malaysia 2023, by pillar

    • statista.com
    Updated Oct 16, 2023
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    Statista (2023). Digital Quality of Life index in Malaysia 2023, by pillar [Dataset]. https://www.statista.com/statistics/1418434/malaysia-digital-quality-of-life-index-by-pillar/
    Explore at:
    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Malaysia
    Description

    In a 2023 global evaluation called the Digital Quality of Life index covering 121 countries, Malaysia scored an average of 0.59 points in five digital aspects. Electronic infrastructure and government were the Southeast Asian country's strengths.

  14. c

    System of Social Indicators for the Federal Republic of Germany: Education

    • datacatalogue.cessda.eu
    Updated Mar 22, 2024
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    Noll, Heinz-Herbert; Weick, Stefan (2024). System of Social Indicators for the Federal Republic of Germany: Education [Dataset]. http://doi.org/10.4232/1.14268
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    Dataset updated
    Mar 22, 2024
    Dataset provided by
    GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
    Authors
    Noll, Heinz-Herbert; Weick, Stefan
    Time period covered
    Jan 1, 1950 - Dec 31, 2013
    Area covered
    Germany
    Variables measured
    Political-administrative area
    Measurement technique
    Aggregation
    Description

    The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - provides quantitative information on levels, distributions and changes in quality of life, social progress and social change in Germany from 1950 to 2013, i.e. over a period of more than sixty years. With the approximately 400 objective and subjective indicators that the indicator system comprises in total, it claims to measure welfare and quality of life in Germany in a differentiated way across various areas of life and to monitor them over time. In addition to the indicators for 13 areas of life, including income, education and health, a selection of cross-cutting global welfare measures were also included in the indicator system, i.e. general welfare indicators such as life satisfaction, social isolation or the Human Development Index. Based on available data from official statistics and survey data, time series were compiled for all indicators, ideally with annual values from 1950 to 2013. Around 90 of the indicators were marked as "key indicators" in order to highlight central dimensions of welfare and quality of life across the various areas of life. The further development and expansion, regular maintenance and updating as well as the provision of the data of the system of social indicators for the Federal Republic of Germany have been among the tasks of the Center for Social Indicator Research, which is based at GESIS, since 1987. For a detailed description of the system of social indicators for the Federal Republic of Germany, see the study description under "Other documents".
    Indicators for the area of life “education”

    The data on the area of life “education” is made up as follows:

    Participation in education and educational opportunities: Access to the elementary area [second level]; Children in kindergartens; Provision rate in child day care for children under three years old; Participation in education in lower secondary education [second level]; School attendance of 13-year-olds by school type; School success in lower secondary education [second level]; School leavers without a secondary school diploma; School success in upper secondary education [second level]: High school graduate rate; Participation in tertiary education [second level]: Student quota of 20 to 30 year olds; Equal opportunities in tertiary education [second level]: Student entry rate for university studies; Entry rate for university/technical college studies; Further training [second level]: VHS course occupancy per 100 inhabitants; Participation rate for the entire further training; Participation rate in general and political further training; Participation rate in continuing professional education; Participation rate of continuing vocational training among employed people; Qualification [first level]: Language competence [second level]: Proportion of population with foreign language skills; IT competence [second level]: Proportion of population with computer skills; Quality of school education [second level]: Proportion of students with a lack of mathematical competence; Proportion of students with poor reading skills; Proportion of students with a lack of scientific competence; Vocational training [second level]: Share of population with apprenticeship/skilled training; Proportion of the population with vocational training; Proportion of the population with a technical college education; Proportion of the population with a university degree; Effectiveness [first level]: Unemployment rate: people without training; Unemployment rate: university graduates; Organization and costs of the education system [first level]: Public/private sector ratio [second level]: Proportion of high school students in public schools to all high school students; Costs of the education system [second level]: Share of public budget expenditure on education; public/private financing of studies; Financing the studies; Subjective preservation and evaluation of education [first level]: Satisfaction with training.

  15. f

    Global sensitivity analysis of artificial neural network (ANN) model in...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Hon-Yi Shi; Hao-Hsien Lee; Jinn-Tsong Tsai; Wen-Hsien Ho; Chieh-Fan Chen; King-Teh Lee; Chong-Chi Chiu (2023). Global sensitivity analysis of artificial neural network (ANN) model in predicting total gastrointestinal quality of life index (GIQLI) score, physical component summary (PCS) score and mental component summary (MCS) score.* [Dataset]. http://doi.org/10.1371/journal.pone.0051285.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Hon-Yi Shi; Hao-Hsien Lee; Jinn-Tsong Tsai; Wen-Hsien Ho; Chieh-Fan Chen; King-Teh Lee; Chong-Chi Chiu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *Age (), Charlson co-morbidity index score (), gender (), previous abdominal surgery (), current complications (), operation time (), preoperative functional status ().

  16. f

    Data from: Health-related quality of life in patients with generalized...

    • tandf.figshare.com
    docx
    Updated Dec 3, 2024
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    Jenny M. Norlin; Sofia Löfvendahl; Marcus Schmitt-Egenolf (2024). Health-related quality of life in patients with generalized pustular psoriasis – a Swedish register study [Dataset]. http://doi.org/10.6084/m9.figshare.25809010.v1
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    docxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Jenny M. Norlin; Sofia Löfvendahl; Marcus Schmitt-Egenolf
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Real-world data on health-related quality of life (HRQoL) in generalized pustular psoriasis (GPP) are scarce and studies have been restricted in terms of instruments used for assessments. To assess generic and dermatology-specific HRQoL of patients with GPP compared with patients with plaque psoriasis using real-world data from the Swedish National Register for Systemic Treatment of Psoriasis. Cross-sectional data from 2006 to 2021 including 7041 individuals with plaque psoriasis without GPP and 80 patients with GPP, of which 19% also had plaque psoriasis. Total scores for the EuroQol-5 Dimensions (EQ-5D) and Dermatology Life Quality Index (DLQI), as well as degree of severity within the instruments’ dimensions/questions, were compared between patient groups. EQ-5D scores were significantly (p

  17. Global Retirement Index 2023

    • ai-chatbox.pro
    Updated May 23, 2025
    + more versions
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    Statista (2025). Global Retirement Index 2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1330018%2Fglobal-retirement-index%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    Norway ranks the highest on the Global Retirement Index in 2023, with an index score of 83 percent. For instance, the country scores especially high at the health and quality of life sub-indexes. Switzerland follows in second with an index score of 82 percent, with Iceland following in third.

  18. c

    System of Social Indicators for the Federal Republic of Germany: Global...

    • datacatalogue.cessda.eu
    • search.gesis.org
    Updated Mar 22, 2024
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    Noll, Heinz-Herbert; Weick, Stefan (2024). System of Social Indicators for the Federal Republic of Germany: Global Welfare Measures [Dataset]. http://doi.org/10.4232/1.14274
    Explore at:
    Dataset updated
    Mar 22, 2024
    Dataset provided by
    GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
    Authors
    Noll, Heinz-Herbert; Weick, Stefan
    Time period covered
    Jan 1, 1950 - Dec 31, 2013
    Area covered
    Germany
    Variables measured
    Political-administrative area
    Measurement technique
    Aggregation
    Description

    The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - provides quantitative information on levels, distributions and changes in quality of life, social progress and social change in Germany from 1950 to 2013, i.e. over a period of more than sixty years. With the approximately 400 objective and subjective indicators that the indicator system comprises in total, it claims to measure welfare and quality of life in Germany in a differentiated way across various areas of life and to monitor them over time. In addition to the indicators for 13 areas of life, including income, education and health, a selection of cross-cutting global welfare measures were also included in the indicator system, i.e. general welfare indicators such as life satisfaction, social isolation or the Human Development Index. Based on available data from official statistics and survey data, time series were compiled for all indicators, ideally with annual values from 1950 to 2013. Around 90 of the indicators were marked as "key indicators" in order to highlight central dimensions of welfare and quality of life across the various areas of life. The further development and expansion, regular maintenance and updating as well as the provision of the data of the system of social indicators for the Federal Republic of Germany have been among the tasks of the Center for Social Indicator Research, which is based at GESIS, since 1987. For a detailed description of the system of social indicators for the Federal Republic of Germany, see the study description under "Other documents".
    The data on the area of life: Global Welfare Measures Social prosperity: GDP per capita. Social welfare: human development, social security, social integration. Subjective well-being: well-being - cognitive, well-being - affective, concern.

  19. Digital Quality of Life index in Vietnam 2023, by pillar

    • statista.com
    Updated Sep 15, 2023
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    Statista (2023). Digital Quality of Life index in Vietnam 2023, by pillar [Dataset]. https://www.statista.com/statistics/1417535/digital-quality-of-life-index-in-vietnam-by-pillar/
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Vietnam
    Description

    In a 2023 global evaluation called Digital Quality of Life Index covering *** countries, Vietnam scored an average of *** points in five digital aspects. Electronic infrastructure and e-government were the country's strengths.

  20. w

    World - City Prosperity Index, and the components of its 5 dimensions

    • data.wu.ac.at
    xlsx
    Updated Sep 11, 2018
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    United Nations Human Settlement Programmes, Global Urban Observatory (2018). World - City Prosperity Index, and the components of its 5 dimensions [Dataset]. https://data.wu.ac.at/schema/data_humdata_org/YTk2YTc2YmUtYzVhZC00NzA0LWEzYWItNjk1MjE4Y2FhODVh
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    xlsx(987163.0)Available download formats
    Dataset updated
    Sep 11, 2018
    Dataset provided by
    United Nations Human Settlement Programmes, Global Urban Observatory
    Description

    The City Prosperity Indices comprise six major components (Productivity, Infrastructure Development, Quality of Life, Equity and Social Inclusion, Environmental Sustainability, Urban Governance and Legislation) and each components has it own key ingredients and indicators which enable to calculate the city prosperity index of a city.

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Statista (2025). Quality of life sub-index in the Global Retirement Index 2023 [Dataset]. https://www.statista.com/statistics/1337088/global-retirement-index-quality-life/
Organization logo

Quality of life sub-index in the Global Retirement Index 2023

Explore at:
Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2023
Area covered
Worldwide
Description

Finland leads the quality of life sub-index in the Global Retirement Index 2023 with a score of ** percent. All four Nordic neighbors (Denmark, Sweden, Norway, and Iceland) follow behind together with Switzerland, with index scores ranging from ** to ** percent. Norway tops the Retirement Index, an index which measures the quality and security for pensioners.

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