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Map showing happiness of countries by their score according to the 2018 World Happiness Report.

The World Happiness Report is an annual publication of the United Nations Sustainable Development Solutions Network which contains rankings of national happiness and analysis of the data from various perspectives.[1] The World Happiness Report is edited by John F. Helliwell, Richard Layard and Jeffrey Sachs. The 2017 edition added three associate editors; Jan-Emmanuel De Neve,[2] Haifang Huang,[3] and Shun Wang.[4] Authors of chapters include Richard Easterlin, Edward F. Diener, Martine Durand,[5] Nicole Fortin,[6] Jon Hall,[7] Valerie Møller,[8] and many others.

In July 2011, the UN General Assembly adopted resolution 65/309 Happiness: Towards a Holistic Definition of Development[9] inviting member countries to measure the happiness of their people and to use the data to help guide public policy. On April 2, 2012, this was followed by the first UN High Level Meeting called Wellbeing and Happiness: Defining a New Economic Paradigm,[10] which was chaired by UN Secretary General Ban Ki-moon and Prime Minister Jigme Thinley of Bhutan, a nation that adopted gross national happiness instead of gross domestic product as their main development indicator.[11]

The first World Happiness Report was released on April 1, 2012 as a foundational text for the UN High Level Meeting: Well-being and Happiness: Defining a New Economic Paradigm,[12] drawing international attention.[13] The report outlined the state of world happiness, causes of happiness and misery, and policy implications highlighted by case studies. In 2013, the second World Happiness Report was issued, and since then has been issued on an annual basis with the exception of 2014.[14] The report primarily uses data from the Gallup World Poll. Each annual report is available to the public to download on the World Happiness Report website.[15]

In the reports, experts in fields including economics, psychology, survey analysis, and national statistics, describe how measurements of well-being can be used effectively to assess the progress of nations, and other topics. Each report is organized by chapters that delve deeper into issues relating to happiness, including mental illness, the objective benefits of happiness, the importance of ethics, policy implications, and links with the Organisation for Economic Co-operation and Development's (OECD) approach to measuring subjective well-being and other international and national efforts.

As of March 2018, Finland was ranked the happiest country in the world.[16][17]

Contents

Annual Report TopicsEdit

World Happiness Reports were issued in 2012, 2013, 2015, 2016 (an update), 2017 and 2018. In addition to ranking countries happiness and well-being levels, each report has contributing authors and most focus on a subject. The data used to rank countries in each report is drawn from the Gallup World Poll,[18] as well as other sources such as the World Values Survey, in some of the reports. The Gallup World Poll questionnaire[19] measures 14 areas within its core questions: (1) business & economic, (2) citizen engagement, (3) communications & technology, (4) diversity (social issues), (5) education & families, (6) emotions (well-being), (7) environment & energy, (8) food & shelter, (9) government and politics, (10) law & order (safety), (11) health, (12) religion and ethics, (13) transportation, and (14) work.

2018 World Happiness ReportEdit

The 2018 reiteration was released on 14 March and focused on the relation between happiness and migration. As per 2018 Happiness Report, Finland is the happiest country in the world,[20] with Norway, Denmark, Iceland, and Switzerland holding the next top positions. The World Happiness Report 2018 ranks 156 countries by their happiness levels, and 117 countries by the happiness of their immigrants. The main focus of this year’s report, in addition to its usual ranking of the levels and changes in happiness around the world, is on migration within and between countries. The overall rankings of country happiness are based on the pooled results from Gallup World Poll surveys from 2015–2017, and show both change and stability. Four countries have held the top spot in the last four reports: Denmark, Switzerland, Norway and now Finland. All the top countries tend to have high values for all six of the key variables that have been found to support well-being: income, healthy life expectancy, social support, freedom, trust and generosity. Among the top countries, differences are small enough that year-to-year changes in the rankings are to be expected.

The analysis of happiness changes from 2008–2015 shows Togo as the biggest gainer, moving up 17 places in the overall rankings from 2015. The biggest loser is Venezuela, down 2.2 points. Five of the report’s seven chapters deal primarily with migration, as summarized in Chapter 1. For both domestic and international migrants, the report studies the happiness of those migrants and their host communities, and also of those in the countryside or in the country of origin. The results are generally positive. Perhaps the most striking finding of the whole report is that a ranking of countries according to the happiness of their immigrant populations is almost exactly the same as for the rest of the population. The immigrant happiness rankings are based on the full span of Gallup data from 2005 to 2017, sufficient to have 117 countries with more than 100 immigrant respondents. The ten happiest countries in the overall rankings also make up ten of the top eleven spots in the ranking of immigrant happiness. Finland is at the top of both rankings in this report, with the happiest immigrants, and the happiest population in general. While convergence to local happiness levels is quite rapid, it is not complete, as there is a ‘footprint’ effect based on the happiness in each source country. This effect ranges from 10% to 25%. This footprint effect explains why immigrant happiness is less than that of the locals in the happiest countries, while being greater in the least happy countries.

2016 World Happiness Report (Update)Edit

Descriptions

The 2016 World Happiness Report -Rome Addition was issued in two parts as an update. Part one had four chapters: (1) Setting the Stage, (2) The Distribution of World Happiness, (3) Promoting Secular Ethics, and (4) Happiness and Sustainable Development: Concepts and Evidence. Part two has six chapters: (1) Inside the Life Satisfaction Blackbox, (2) Human Flourishing, the Common Good, and Catholic Social Teaching, (3) The Challenges of Public Happiness: An Historical-Methodological Reconstruction, (4) The Geography of Parenthood and Well-Being: Do Children Make Us Happy, Where and Why?, and (5) Multidimensional Well-Being in Contemporary Europe: An Analysis of the Use of a Self-Organizing Map Applied to Share Data.

Chapter 1, Setting the Stage is written by John F. Helliwell, Richard Layard, and Jeffrey Sachs. This chapter briefly surveys the happiness movement (“Increasingly, happiness is considered to be the proper measure of social progress and the goal of public policy.”) gives an overview of the 2016 reports and synopsis of both parts of the 2016 Update Rome Addition.

Chapter 2, The Distribution of World Happiness is written by John F. Helliwell, Hailing Huang, and Shun Wang. This chapter reports happiness levels of countries and proposes the use of inequalities of happiness among individuals as a better measure for inequality than income inequality, and that all people in a population fare better in terms of happiness when there is less inequality in happiness in their region. It includes data from the World Health Organization and World Development Indicators, as well as Gallup World Poll. It debunks the notion that people rapidly adapt to changes in life circumstances and quickly return to an initial life satisfaction baseline, finding instead that changes in life circumstances such as government policies, major life events (unemployment, major disability) and immigration change people’s baseline life satisfaction levels. This chapter also addresses the measure for affect (feelings), finding that positive affect (happiness, laughter, enjoyment) has much “large and highly significant impact” on life satisfaction than negative affect (worry, sadness, anger). The chapter also examines differences in happiness levels explained by the factors of (1) social support, (2) income, (3) healthy life, (4) trust in government and business, (5) perceived freedom to make life decisions and (6) generosity.

Chapter 3, Promoting Secular Ethics is written by Richard Layard, This chapter argues for a revival of an ethical life and world, harkening to times when religious organizations were a dominant force. It calls on secular non-profit organizations to promote “ethical living in a way that provides inspiration, uplift, joy and mutual respect”, and gives examples of implementation by a non-profit founded by Richard Layard,[21] the chapter author, Action for Happiness, which offers online information from positive psychology and Buddhist teachings.

Chapter 4, Happiness and Sustainable Development: Concepts and Evidence is written by Jeffrey Sachs. This chapter identifies ways that sustainable development indicators (economic, social and environmental factors) can be used to explain variations in happiness. It concludes with a report about an appeal to include subjective well-being indicators into the UN Sustainable Development Goals (SDGs).

Part Two 2016 Special Rome Edition was edited by Jeffrey Sacks, Leonardo Becchetti and Anthony Arnett.

Chapter 1, Inside the Life Satisfaction Blackbox is written by Leonardo Becchetti, Luisa Carrado,[22] and Paolo Sama. This chapter proposes using quality of life measurements (a broader range of variables that life evaluation) in lieu of or in addition to overall life evaluations in future World Happiness Reports.

Chapter 2, Human Flourishing, the Common Good, and Catholic Social Teaching is written by Anthony Annett. This chapter contains explanations for three theories: (1) It is human nature to broadly define happiness and understand the connection between happiness and the common good, (2) that the current understanding of individuality is stripped of ties to the common good, and (3) that there is a need to restore the common good as central value for society. The chapter also proposes Catholic school teachings as a model for restoring the common good as a dominant value.

Chapter 3, The Challenges of Public Happiness: An Historical-Methodological Reconstruction is written by Luigino Bruni and Stefano Zemagni. This chapter contemplates Aristotelian concepts of happiness and virtue as they pertain to and support the findings in the World Happiness Reports regarding the impact of social support, trust in government, and equality of happiness.

Chapter 4, The Geography of Parenthood and Well-Being. Do Children Make Us Happy, Where and Why? is written by Luca Stanca.[23] This chapter examines other research findings that children do not add happiness to parents. Using data from the World Values Survey, it finds that, with the exception of widowed parents, having children has a negative effect on life satisfaction for parents in 2/3 of the 105 countries studied, with parents in richer countries suffering more. Once parents are old, life satisfaction increases. The chapter concludes that “existing evidence is not conclusive” and a statement that the causes for the low life satisfaction levels may be that for richer countries, having children is valued less, and in poorer countries, people suffer in financial and time costs when they have children.

Chapter 5, Multidimensional Well-Being in Contemporary Europe: Analysis of the Use of Self-Organizing Map Allied to SHARE Data is written by Mario Lucchini, Luca Crivelli[24] and Sara della Bella. This chapter contains a study of well-being data from older European adults. It finds that this chapter’s study results were consistent with the World Happiness Report 2016 update: positive affect (feelings) have a stronger impact on a person’s satisfaction with life than do negative affect (feelings).

2015 World Happiness ReportEdit

Descriptions

The 2015 World Happiness Report has eight chapters: (1) Setting the Stage, (2) The Geography of World Happiness, (3) How Does Subjective Well-being Vary Around the World by Gender and Age?, (4) How to Make Policy When Happiness is the Goal, (5) Neuroscience of Happiness, (6) Healthy Young Minds Transforming the Mental Health of Children, (7) Human Values, Civil Economy, and Subjective Well-being, and (8) Investing in Social Capital.

Chapter 1, Setting the Stage is written by John F. Helliwell, Richard Layard and Jeffrey Sachs. This chapter celebrates the success of the happiness movement (“Happiness is increasingly considered a proper means of social progress and public policy.”), citing the OECD Guidelines on Measuring Subjective Well-being, a referendum in the EU requiring member nations to measure happiness, and the success of the World Happiness reports (with readership at about 1.5 million), and the adoption of happiness by the government of the United Arab Emirates, and other areas. It sets an aspiration of the inclusion of subjective well-being into the 2015 Sustainable Development Goals (not fulfilled), and outlines the 2015 report. It also address the use of the term Happiness, identifying the cons (narrowness of the term, breath of the term, flakiness), and defining the use of the term for the reasons that the 2011 UN General Assembly Resolution 65/309 Happiness Towards A Holistic Approach to Development[25] and April 2012 UN High Level Meeting: Well-being and Happiness: Defining a New Economic Paradigm,[26] Bhutan’s Gross National Happiness[27] philosophy, the term’s “convening and attention attracting power,” and the asset in a “double usage of happiness” as an emotional report and life evaluation.

Chapter 2, The Geography of Happiness is written by John F. Helliwell, Hailing Huang and Shun Wang. This chapter reports the happiness of nations measured by life evaluations. It includes color coded maps and an analysis of six factors the account for the differences: (1) social support in terms of someone to count on in times of need, (2) GDP per capita (income), (3) life expectancy (in terms of healthy years), (4) sense of corruption in government and business (trust), (5) perceived freedom to make life decisions, and (6) generosity. The first three factors were found to have the biggest impact on a population’s happiness. Crisis (natural disasters and economic crisis) the quality of governance, and social support were found to be the key drivers for changes in national happiness levels, with the happiness of nations undergoing a crisis in which people have a strong sense of social support falling less than nations where people do not have a strong sense of social support.

Chapter 3, How Does Subjective Well-being Vary Around the Globe by Gender and Age? is written by Nicole Fortin, John F. Helliwell and Shun Wang. This chapter uses data for 12 experiences: happiness (the emotion), smiling or laughing, enjoyment, feeling safe at night, feeling well rested, and feeling interested, as well as anger, worry, sadness, depression, stress and pain to examine differences by gender and age. Findings reported include that there is not a lot of difference in life evaluations between men and women across nations or within ages in a nation (women have slightly higher life evaluations than men: 0.09 on a ten-point scale). It reports that overall happiness falls into a U shape with age on the x axis and happiness on the y, with the low point being middle age (45-50) for most nations (in some happiness does not go up much in later life, so the shape is more of a downhill slide), and that the U shape holds for feeling well rested in all regions. If finds that that men generally feel safer at night than women but, when comparing countries, people in Latin America have the lowest sense of safety at night, while people in East Asia and Western Europe have the highest sense of safety at night. It also finds that as women age their sense of happiness declines and stress increases but worry decreases, as all people age their laughter, enjoyment and finding something of interest also declines, that anger is felt everywhere almost equally by men and women, stress peaks in the Middle Ages, and women experience depression more than men. It finds that where older people are happier, there is a sense of social support, freedom to make life choices and generosity (and income does not factor in as heavily as these three factors).

Chapter 4, How to Make Policy When Happiness is the Goal is written by Richard Layard and Gus O’Donnell. This chapter advocates for a “new form of cost-benefit analysis” for government expenditures in which a “critical level of extra happiness” yielded by a project is established. It contemplates the prioritization of increasing happiness of the happy vs. reducing misery of the miserable, as well as the issues of discount rate (weight) for the happiness of future generations. It includes a technical annex with equations for calculating the maximization for happiness in public expenditure, tax policy, regulations, the distribution of happiness and a discount rate.

Chapter 5, Neuroscience of Happiness is written by Richard J. Dawson and Brianna S. Schuyler. This chapter reports on research in brain science and happiness, identifying four aspects that account for happiness: (1) sustained positive emotion, (2) recovery of negative emotion (resilience), (3) empathy, altruism and pro-social behavior, and (4) mindfulness (mind-wandering/affective sickness). It concludes that the brain’s elasticity indicates that one can change one’s sense of happiness and life satisfaction (separate but overlapping positive consequences) levels by experiencing and practicing mindfulness, kindness, and generosity; and calls for more research on these topics.

Chapter 6, Healthy Young Minds: Transforming the Mental Health of Children is written by Richard Layard and Ann Hagell.[28] This chapter identifies emotional development as of primary importance, (compared to academic and behavioral factors) in a child’s development and determination of whether a child will be a happy and well-functioning adult. It then focuses on the issue of mental illness in children, citing the statistic that while worldwide 10% of the world's children (approximately 200 million) suffer from diagnosable mental health problems, even in the richest nations, only one quarter of these children of them are in treatment. It identifies the action steps to treating children with mental health problems: local community-lead child well-being programs, training health care professions to identify mental health problems in children, parity of esteem for mental and physical problems and treatment, access to evidence-based mental health treatment for families and children, promotion of well-being in schools with well-being codes that inform the organizational behavior of schools, training teachers to identify mental health in children, teachings of life skills, measuring of children’s well-being by schools, development of free apps available internationally to treat mental illness in teens, and inclusion of mental health with the goal of physical health in the Sustainable Development goals. The chapter lists the benefits of treating children’s mental health: improved educational performance, reduction in youth crimes, improved earnings and employment in adulthood, and better parenting of the next generation.

Chapter 7, Human Values, Civil Economy and Subjective Well-being is written by Leonardo Bechhetti,[29] Luigino Bruni and Stefano Zamagni. This chapter begins with a critique of the field of economics ("Economics today looks like physics before the discovery of electrons"), identifying reductionism in which humans are conceived of as 100% self-interested individuals (economic reductionism), profit maximization is prioritized over all other interests (corporate reductionism), and societal values are narrowly identified with GDP and ignore environmental, cultural, spiritual and relational aspects (value reductionism). The chapter them focuses on a theoretical approach termed "Civil Economy paradigm", and research about it demonstrating that going beyond reductionism leads to greater socialization for people and communities, and a rise in priority of the values of reciprocity, friendship, trustworthiness, and benevolence. It makes the argument that positive social relationships (trust, benevolence, shared social identities) yield happiness and positive economic outcomes. It ends with recommendations for move from the dominant model of elite-competitive democracy to a participatory/deliberative model of democracy with bottom-up political and economic participation and incentives for non-selfish actions (altruistic people) and corporations with wider goals than pure profit (ethical and environmentally responsible corporations).

Chapter 8, Investing in Social Capital is written by Jeffrey Sachs. This chapter focuses on “pro-sociality” (“individuals making decisions for the common good that may conflict with short-run egoistic incentives”). It identifies pro-social behaviors: honesty, benevolence, cooperation and trustworthiness. It recommends investment in social capital through education, moral instruction, professional codes of conduct, public censure and condemnation of violators of public trust, and public policies to narrow income inequalities for countries where there is generalized distrust of government and business, pervasive corruption and lawless behavior (such as tax evasion).

2013 World Happiness ReportEdit

Descriptions

The 2013 World Happiness Report has eight chapters: (1) Introduction, (2) World Happiness: Trends, Explanations and Distribution, (3) Mental Illness and Unhappiness, (4) The Objective Benefits of Subjective Well-being, (5) Restoring Virtue Ethics in the Quest for Happiness, (6) Using Well-being as a Guide to Policy, (7) The OECD Approach to Measuring Subjective Well-being, and (8) From Capabilities to Contentment: Testing the Links between Human Development and Life Satisfaction.

Chapter 1, Introduction is written by John F. Helliwell, Richard Layard and Jeffrey Sachs. It synopsizes the chapters and gives a discussion of the term happiness.

Chapter 2, World Happiness: Trends, Explanations and Distributions is written by John F. Helliwell and Shun Wang. It provides ratings among countries and regions for satisfaction with life using the Cantril Ladder, positive and negative affect (emotions), and log of GDP per capita, years of healthy life expectancy, having someone to count on in times of trouble, perceptions of corruption, prevalence of generosity, and freedom to make life choices.

Chapter 3, Mental Illness and Unhappiness is written by Richard Layard, Dan Chisholm, Vikram Patel, and Shekhar Saxel. It identifies the far ranging prevalence of mental illness around the world (10% of the world's population at one time) and provides the evidence showing that "mental illness is a highly influential - and...the single biggest - determinant of misery." It concludes with examples of interventions implemented by countries around the world.

Chapter 4, The Objective Benefits of Subjective Well-being is written by Jan-Emmanuel de Neve, Ed Diener, Louis Tay and Cody Xuereb. It provides an explanation of the benefits of subjective well-being (happiness) on health & longevity, income, productivity & organizational behavior, and individual & social behavior. It touches on the role of happiness in human evolution through rewarding behaviors that increase evolutionary success and beneficial to survival.

Chapter 5, Restoring Virtue Ethics in the Quest for Happiness is written by Jeffrey Sachs. It argues that "a renewed focus on the role of ethics, and in particular of virtuous behavior, in happiness could lead us to new and effective strategies for raising individual, national and global well-being," looking to the eightfold noble path (the teachings of the dharma handed down in the Buddhist tradition that encompass wise view/understanding, wise intention, wise speech, wise action, wise livelihood, and effort, concentration and mindfulness), Aristotelian philosophy (people are social animals, "with individual happiness secured only within a political community...[which] should organize its institutions to promote virtuous behavior), and Christian doctrine of St. Thomas Aquinas ("placing happiness in the context of servicing God's will"). It gives an explanation of the evolution of the field of economics up t the "failures of hyper-commercialism" and suggests an antidote based on four global ethical values: (1) non-violence and respect for life, (2) justice and solidarity, (3) honesty and tolerance, and (4) mutual esteem and partnership.

Chapter 6, Using Well-being as Guide to Public Policy is written by Gus O'Donnell. This chapter gives a status report on the issues governments grapple with in adopting well-being and happiness measures and goals for policy, from understanding the data or establishing whether a specific policy improves well-being, to figuring out how to "incorporate well-being into standard policy making." It provides examples of efforts to measure happiness and well-being from Bhutan, New Zealand, South Africa, the UK, and cities and communities in the USA, Canada, Australia and Tasmania. It identifies the key policy areas of health, transport and education for policy makers to focus on and includes discussions about interpersonal comparability (concentrating on "getting people out of misery" instead of making happy people happier), discount rate (do we invest more in happiness for people today or in the future?) and putting a monetary value on happiness for policy trade off decisions (e.g. If "a 10% reduction in noise increase SWB by one unit, then we can infer that a 10% reduction is "worth" $1,000" when $1,000 would increase a person's SWB by one unit).

Chapter 7, The OECD Approach to Measuring Subjective Well-being is written by Martine Durand and Conal Smith. This chapter was written the same year the OECD issued its Guidelines on Measuring Subjective Well-being,[30] and is a synopsis of such. It includes a definition for subjective well-being: life evaluation (a person's reflection on their life and life circumstances), affect (positive and negative emotions) and eudaimonia; core measures, a discussion on data collection processes, survey and sample design, other aspects of using subjective well-being metrics, and ideas on how policy-makers can use subjective well-being data. It surveys the status of wealthy countries subjective well-being data collection process, and identifies future directions of experimentation and better income measures, citing the Easterlin Paradox as the basis for this call.

Chapter 8, From Capabilities to Contentment: Testing the Links between Human Development and Life Satisfaction is written by Jon Hall.[31] This chapter explains the components of human development using objective metrics: (1) education, health and command over income and nutrition resources, (2) participation and freedom, (3) human security, (4) equity, and (5) sustainability; key findings of the Human Development Index (HDI) ("weak relationship between economic growth and changes in health and education" as well as life expectancy), and examines the relationship between the HDI and happiness, finding that (1) components of the HDI "correlate strongly with better life evaluations," and (2) there is a strong relationship between life evaluation and the "non-income HDI." It contemplates measurement of conditions of life beyond the HDI that are important to well-being: (1) better working conditions, (2) security against crime and physical violence, (3) participation in economic and political activities, (4) freedom and (5) inequality. The concludes with the statements that the HDI and SWB have similar approaches and importantly connected, with the two disciplines offering alternative and complementary views of development.

2012 World Happiness ReportEdit

Descriptions

The 2012 World Happiness Report was issued at the UN High Level Meeting Well-being and Happiness: Defining a New Economic Paradigm[32] by editors John F. Helliwell, Richard Layard and Jeffrey Sachs. Part one has an introduction (chapter 1) and three chapters: (2) the State of World Happiness, (3) Causes of Happiness and Misery, Some Policy Implications. Part two has three chapters, each a case study, of Bhutan, the United Kingdom Office of National Statistics, and the OECD.

Chapter 1, The Introduction is by Jeffrey Sachs and references Buddha and Aristotle, identifies today's era as the anthropocene, and identifies the reasons GDP is not a sufficient measure to guide governments and society.

Chapter 2, The State of World Happiness, is written by John F. Helliwell and Shun Wang,[33] and contains a discussion of subjective well-being measures that ranges from the validity of subjective well-being measures to the seriousness of happiness, happiness set points and cultural comparisons, and it includes data from the Gallup World Poll, European Social Survey, and the World Values Survey.[34]

Chapter 3, The Causes of Happiness and Misery is written by Richard Layard, Andrew Clark,[35] and Claudia Senik,[36] and contemplates research on the impact on happiness of the external factors of income, work, community and governance, values and religion, as well as the internal factors of mental health, physical health, family experience, education, and gender and age.

Chapter 4, Some Policy Implications, written by John F. Helliwell, Richard Layard and Jeffrey Sachs, calls for a greater understanding on how governments can measure happiness, the determinants of happiness, and use of happiness data and findings about determinants for policy purposes. It also highlights the role of GDP ("GDP is important but not all that is important") as a guide to policy makers, the importance that policy makers should place on providing opportunities for employment; the role of happiness in policy making ("Making happiness an objective of governments would not therefore lead to the “servile society,” and indeed quite the contrary...Happiness comes from an opportunity to mold one’s own future, and thus depends on a robust level of freedom."); the role of values and religion ("In well-functioning societies there is widespread support for the universal value that we should treat others as we would like them to treat us. We need to cultivate social norms so that the rich and powerful are never given a feeling of impunity vis-à-vis the rest of society."); calls for wider access to psychological therapies in a section on mental health citing the fact that one third of all families are affected by mental illness; identifies improvements in physical health as "probably the single most important factor that has improved human happiness" and calls out the rich-poor gap in health care between rich and poor countries; calls on workplace and governmental policies that encourage work-life balance and reduce stress, including family support and child care; and states that "Universal access to education is widely judged to be a basic human right..." The chapter concludes with a philosophical discussion.

Chapter 5, Case Study: Bhutan Gross National Happiness and the GNH Index is written by Karma Ura,[37] Sabine Alkire,[38] and Tsoki Zangmo. It gives a short history of the development of the Gross National Happiness (GNH) concept in Bhutan, and an explanation of the GNH index, data collection and data analysis process, including the rating methodology to determine if an individual experiences happiness sufficiency levels, as well as the policy and lifestyle implications

Chapter 6, Case Study: ONS Measuring Subjective Well-being: The UK Office of National Statistics Experience is written by Stephen Hicks. It covers the basis for the creation of the Measuring National Well-being Programme[39] in the UK's Office of National Statistics[40] (ONS), and the development of their methodology for measuring well-being.

Chapter 5, Case Study OECD Guidelines on Measuring Subjective Well-being is an explanation about the process and rationale the OECD was undertaking to develop its Guidelines on Measuring Subjective Well-being,[41] which it issued in 2013.

International rankingsEdit

Data is collected from people in over 150 countries. Each variable measured reveals a populated-weighted average score on a scale running from 0 to 10 that is tracked over time and compared against other countries. These variables currently include: real GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption. Each country is also compared against a hypothetical nation called Dystopia. Dystopia represents the lowest national averages for each key variable and is, along with residual error, used as a regression benchmark.

2018 reportEdit

As per the 2018 Happiness Index, Finland is the happiest country in the world. Norway, Denmark, Iceland and Switzerland hold the next top positions. The report was published on 14 March 2018 by UN. The full report can be read at 2018 Report. The World Happiness Report is a landmark survey of the state of global happiness. The World Happiness Report 2018, which ranks 156 countries by their happiness levels, and 117 countries by the happiness of their immigrants, was released on March 14th at a launch event at the Pontifical Academy of Sciences in the Vatican.

Overall Rank Country Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Perceptions of corruption
1   Finland 7.632 1.305 1.592 0.874 0.681 0.192 0.393
2   Norway 7.594 1.456 1.582 0.861 0.686 0.286 0.340
3   Denmark 7.555 1.351 1.590 0.868 0.683 0.284 0.408
4   Iceland 7.495 1.343 1.644 0.914 0.677 0.353 0.138
5    Switzerland 7.487 1.420 1.549 0.927 0.660 0.256 0.357
6   Netherlands 7.441 1.361 1.488 0.878 0.638 0.333 0.295
7   Canada 7.328 1.330 1.532 0.896 0.653 0.321 0.291
8   New Zealand 7.324 1.268 1.601 0.876 0.669 0.365 0.389
9   Sweden 7.314 1.355 1.501 0.913 0.659 0.285 0.383
10   Australia 7.272 1.340 1.573 0.910 0.647 0.361 0.302
11   Israel 7.190 1.244 1.433 0.888 0.464 0.262 0.082
12   Austria 7.139 1.341 1.504 0.891 0.617 0.242 0.224
13   Costa Rica 7.072 1.010 1.459 0.817 0.632 0.143 0.101
14   Ireland 6.977 1.448 1.583 0.876 0.614 0.307 0.306
15   Germany 6.965 1.340 1.474 0.861 0.586 0.273 0.280
16   Belgium 6.927 1.324 1.483 0.894 0.583 0.188 0.240
17   Luxembourg 6.910 1.576 1.520 0.896 0.632 0.196 0.321
18   United States 6.886 1.398 1.471 0.819 0.547 0.291 0.133
19   United Kingdom 6.814 1.301 1.559 0.883 0.533 0.354 0.272
20   United Arab Emirates 6.774 2.096 0.776 0.670 0.284 0.186 N/A
21   Czech Republic 6.711 1.233 1.489 0.854 0.543 0.064 0.034
22   Malta 6.627 1.270 1.525 0.884 0.645 0.376 0.142
23   France 6.489 1.293 1.466 0.908 0.520 0.098 0.176
24   Mexico 6.488 1.038 1.252 0.761 0.479 0.069 0.095
25   Chile 6.476 1.131 1.331 0.808 0.431 0.197 0.061
26   Taiwan 6.441 1.365 1.436 0.857 0.418 0.151 0.078
27   Panama 6.430 1.112 1.438 0.759 0.597 0.125 0.063
28   Brazil 6.419 0.986 1.474 0.675 0.493 0.110 0.088
29   Argentina 6.388 1.073 1.468 0.744 0.570 0.062 0.054
30   Guatemala 6.382 0.781 1.268 0.608 0.604 0.179 0.071
31   Uruguay 6.379 1.093 1.459 0.771 0.625 0.130 0.155
32   Qatar 6.374 1.649 1.303 0.748 0.654 0.256 0.171
33   Saudi Arabia 6.371 1.379 1.331 0.633 0.509 0.098 0.127
34   Singapore 6.343 1.529 1.451 1.008 0.631 0.261 0.457
35   Malaysia 6.322 1.161 1.258 0.669 0.356 0.311 0.059
36   Spain 6.310 1.251 1.538 0.965 0.449 0.142 0.074
37   Colombia 6.260 0.960 1.439 0.635 0.531 0.099 0.039
38   Trinidad & Tobago 6.192 1.223 1.492 0.564 0.575 0.171 0.019
39   Slovakia 6.173 1.210 1.537 0.776 0.354 0.118 0.014
40   El Salvador 6.167 0.806 1.231 0.639 0.461 0.065 0.082
41   Nicaragua 6.141 0.668 1.319 0.700 0.527 0.208 0.128
42   Poland 6.123 1.176 1.448 0.781 0.546 0.108 0.064
43   Bahrain 6.105 1.338 1.366 0.698 0.594 0.243 0.123
44   Uzbekistan 6.096 0.719 1.584 0.605 0.724 0.328 0.259
45   Kuwait 6.083 1.474 1.301 0.675 0.554 0.167 0.106
46   Thailand 6.072 1.016 1.417 0.707 0.637 0.364 0.029
47   Italy 6.000 1.264 1.501 0.946 0.281 0.137 0.028
48   Ecuador 5.973 0.889 1.330 0.736 0.556 0.114 0.120
49   Belize 5.956 0.807 1.101 0.474 0.593 0.183 0.089
50   Lithuania 5.952 1.197 1.527 0.716 0.350 0.026 0.006
51   Slovenia 5.948 1.219 1.506 0.856 0.633 0.160 0.051
52   Romania 5.945 1.116 1.219 0.726 0.528 0.088 0.001
53   Latvia 5.933 1.148 1.454 0.671 0.363 0.092 0.066
54   Japan 5.915 1.294 1.462 0.988 0.553 0.079 0.150
55   Mauritius 5.891 1.090 1.387 0.684 0.584 0.245 0.050
56   Jamaica 5.890 0.819 1.493 0.693 0.575 0.096 0.031
57   South Korea 5.875 1.266 1.204 0.955 0.244 0.175 0.051
58   Northern Cyprus 5.835 1.229 1.211 0.909 0.495 0.179 0.154
59   Russia 5.810 1.151 1.479 0.599 0.399 0.065 0.025
60   Kazakhstan 5.790 1.143 1.516 0.631 0.454 0.148 0.121
61   Cyprus 5.762 1.229 1.191 0.909 0.423 0.202 0.035
62   Bolivia 5.752 0.751 1.223 0.508 0.606 0.141 0.054
63   Estonia 5.739 1.200 1.532 0.737 0.553 0.086 0.174
64   Paraguay 5.681 0.835 1.522 0.615 0.541 0.162 0.074
65   Peru 5.663 0.934 1.249 0.674 0.530 0.092 0.034
66   Kosovo 5.662 0.855 1.230 0.578 0.448 0.274 0.023
67   Moldova 5.640 0.657 1.301 0.620 0.232 0.171 0.000
68   Turkmenistan 5.636 1.016 1.533 0.517 0.417 0.199 0.037
69   Hungary 5.620 1.171 1.401 0.732 0.259 0.061 0.022
70   Libya 5.566 0.985 1.350 0.553 0.496 0.116 0.148
71   Philippines 5.524 0.775 1.312 0.513 0.643 0.120 0.105
72   Honduras 5.504 0.620 1.205 0.622 0.459 0.197 0.074
73   Belarus 5.483 1.039 1.498 0.700 0.307 0.101 0.154
74   Turkey 5.483 1.148 1.380 0.686 0.324 0.106 0.109
75   Pakistan 5.472 0.652 0.810 0.424 0.334 0.216 0.113
76   Hong Kong 5.430 1.405 1.290 1.030 0.524 0.246 0.291
77   Portugal 5.410 1.188 1.429 0.884 0.562 0.055 0.017
78   Serbia 5.398 0.975 1.369 0.685 0.288 0.134 0.043
79   Greece 5.358 1.154 1.202 0.879 0.131 0.000 0.044
80   Tajikistan 5.358 0.474 1.179 0.598 0.503 0.214 0.136
81   Montenegro 5.347 1.017 1.279 0.729 0.259 0.111 0.081
82   Croatia 5.321 1.115 1.161 0.737 0.380 0.120 0.039
83   Dominican Republic 5.302 0.982 1.441 0.614 0.578 0.120 0.106
84   Algeria 5.295 0.979 1.154 0.687 0.077 0.055 0.135
85   Morocco 5.254 0.779 0.797 0.669 0.460 0.026 0.074
86   China 5.246 0.989 1.142 0.799 0.597 0.029 0.103
87   Azerbaijan 5.201 1.024 1.161 0.603 0.430 0.031 0.176
88   Lebanon 5.199 0.965 1.166 0.785 0.292 0.187 0.034
89   Macedonia 5.185 0.959 1.239 0.691 0.394 0.173 0.052
90   Jordan 5.161 0.822 1.265 0.645 0.468 0.130 0.134
91   Nigeria 5.155 0.689 1.172 0.048 0.462 0.201 0.032
92   Kyrgyzstan 5.131 0.530 1.416 0.594 0.540 0.281 0.035
93   Bosnia and Herzegovina 5.129 0.915 1.078 0.758 0.280 0.216 0.000
94   Mongolia 5.125 0.914 1.517 0.575 0.395 0.253 0.032
95   Vietnam 5.103 0.715 1.365 0.702 0.618 0.177 0.079
96   Indonesia 5.093 0.899 1.215 0.522 0.538 0.484 0.018
97   Bhutan 5.082 0.796 1.335 0.527 0.541 0.364 0.171
98   Somalia 4.982 0.000 0.712 0.115 0.674 0.238 0.282
99   Cameroon 4.975 0.535 0.891 0.182 0.454 0.183 0.043
100   Bulgaria 4.933 1.054 1.515 0.712 0.359 0.064 0.009
101     Nepal 4.880 0.425 1.228 0.539 0.526 0.302 0.078
102   Venezuela 4.806 0.996 1.469 0.657 0.133 0.056 0.052
103   Gabon 4.758 1.036 1.164 0.404 0.356 0.032 0.052
104   Palestinian Territories 4.743 0.642 1.217 0.602 0.266 0.086 0.076
105   South Africa 4.724 0.940 1.410 0.330 0.516 0.103 0.056
106   Iran 4.707 1.059 0.771 0.691 0.459 0.282 0.129
107   Ivory Coast 4.671 0.541 0.872 0.080 0.467 0.146 0.103
108   Ghana 4.657 0.592 0.896 0.337 0.499 0.212 0.029
109   Senegal 4.631 0.429 1.117 0.433 0.406 0.138 0.082
110   Laos 4.623 0.720 1.034 0.441 0.626 0.230 0.174
111   Tunisia 4.592 0.900 0.906 0.690 0.271 0.040 0.063
112   Albania 4.586 0.916 0.817 0.790 0.419 0.149 0.032
113   Sierra Leone 4.571 0.256 0.813 0.000 0.355 0.238 0.053
114   Congo (Brazzaville) 4.559 0.682 0.811 0.343 0.514 0.091 0.077
115   Bangladesh 4.500 0.532 0.850 0.579 0.580 0.153 0.144
116   Sri Lanka 4.471 0.918 1.314 0.672 0.585 0.307 0.050
117   Iraq 4.456 1.010 0.971 0.536 0.304 0.148 0.095
118   Mali 4.447 0.370 1.233 0.152 0.367 0.139 0.056
119   Namibia 4.441 0.874 1.281 0.365 0.519 0.051 0.064
120   Cambodia 4.433 0.549 1.088 0.457 0.696 0.256 0.065
121   Burkina Faso 4.424 0.314 1.097 0.254 0.312 0.175 0.128
122   Egypt 4.419 0.885 1.025 0.553 0.312 0.092 0.107
123   Mozambique 4.417 0.198 0.902 0.173 0.531 0.206 0.158
124   Kenya 4.410 0.493 1.048 0.454 0.504 0.352 0.055
125   Zambia 4.377 0.562 1.047 0.295 0.503 0.221 0.082
126   Mauritania 4.356 0.557 1.245 0.292 0.129 0.134 0.093
127   Ethiopia 4.350 0.308 0.950 0.391 0.452 0.220 0.146
128   Georgia 4.340 0.853 0.592 0.643 0.375 0.038 0.215
129   Armenia 4.321 0.816 0.990 0.666 0.260 0.077 0.028
130   Myanmar 4.308 0.682 1.174 0.429 0.580 0.598 0.178
131   Chad 4.301 0.358 0.907 0.053 0.189 0.181 0.060
132   Congo (Kinshasa) 4.245 0.069 1.136 0.204 0.312 0.197 0.052
133   India 4.190 0.721 0.747 0.485 0.539 0.172 0.093
134   Niger 4.166 0.131 0.867 0.221 0.390 0.175 0.099
135   Uganda 4.161 0.322 1.090 0.237 0.450 0.259 0.061
136   Benin 4.141 0.378 0.372 0.240 0.440 0.163 0.067
137   Sudan 4.139 0.605 1.240 0.312 0.016 0.134 0.082
138   Ukraine 4.103 0.793 1.413 0.609 0.163 0.187 0.011
139   Togo 3.999 0.259 0.474 0.253 0.434 0.158 0.101
140   Guinea 3.964 0.344 0.792 0.211 0.394 0.185 0.094
141   Lesotho 3.808 0.472 1.215 0.079 0.423 0.116 0.112
142   Angola 3.795 0.730 1.125 0.269 0.000 0.079 0.061
143   Madagascar 3.774 0.262 0.908 0.402 0.221 0.155 0.049
144   Zimbabwe 3.692 0.357 1.094 0.248 0.406 0.132 0.099
145   Afghanistan 3.632 0.332 0.537 0.255 0.085 0.191 0.036
146   Botswana 3.590 1.017 1.174 0.417 0.557 0.042 0.092
147   Malawi 3.587 0.186 0.541 0.306 0.531 0.210 0.080
148   Haiti 3.582 0.315 0.714 0.289 0.025 0.392 0.104
149   Liberia 3.495 0.076 0.858 0.267 0.419 0.206 0.030
150   Syria 3.462 0.689 0.382 0.539 0.088 0.376 0.144
151   Rwanda 3.408 0.332 0.896 0.400 0.636 0.200 0.444
152   Yemen 3.355 0.442 1.073 0.343 0.244 0.083 0.064
153   Tanzania 3.303 0.455 0.991 0.381 0.481 0.270 0.097
154   South Sudan 3.254 0.337 0.608 0.177 0.112 0.224 0.106
155   Central African Republic 3.083 0.024 0.000 0.010 0.305 0.218 0.038
156   Burundi 2.905 0.091 0.627 0.145 0.065 0.149 0.076

2017 reportEdit

The 2017 report features the happiness score averaged over the years 2014-2016. For that timespan, Norway was the overall happiest country in the world, even though oil prices had dropped. Close behind were Denmark, Iceland and Switzerland in a tight pack. Four of the top five countries follow the Nordic model. All the top ten countries had high scores in the six categories. The ranked follow-on countries in the top ten are: Finland, the Netherlands, Canada, New Zealand, Australia, and Sweden.

Table of data for 2017:[42]

Overall Rank Change in rank Country Score Change in score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Trust Residual
1   3   Norway 7.537   0.039 1.616 1.534 0.797 0.635 0.362 0.316 2.277
2   1   Denmark 7.522   0.004 1.482 1.551 0.793 0.626 0.355 0.401 2.314
3     Iceland 7.504   0.003 1.481 1.611 0.834 0.627 0.476 0.154 2.323
4   2    Switzerland 7.494   0.015 1.565 1.517 0.858 0.620 0.291 0.367 2.277
5     Finland 7.469   0.056 1.444 1.540 0.809 0.618 0.245 0.383 2.430
6   1   Netherlands 7.377   0.038 1.504 1.429 0.811 0.585 0.470 0.283 2.295
7   1   Canada 7.316   0.088 1.479 1.481 0.835 0.611 0.436 0.287 2.187
8     New Zealand 7.314   0.020 1.406 1.548 0.817 0.614 0.500 0.383 2.046
9     Australia 7.284   0.029 1.484 1.510 0.844 0.602 0.478 0.301 2.065
10     Sweden 7.284   0.007 1.494 1.478 0.831 0.613 0.385 0.384 2.098
11     Israel 7.213   0.054 1.375 1.376 0.838 0.406 0.330 0.085 2.802
12   2   Costa Rica 7.079   0.008 1.110 1.416 0.760 0.580 0.215 0.100 2.899
13   1   Austria 7.006   0.113 1.487 1.460 0.815 0.568 0.316 0.221 2.139
14   1   United States 6.993   0.111 1.546 1.420 0.774 0.506 0.393 0.136 2.218
15   4   Ireland 6.977   0.070 1.536 1.558 0.810 0.573 0.428 0.298 1.774
16     Germany 6.951   0.043 1.488 1.473 0.799 0.563 0.336 0.277 2.016
17   1   Belgium 6.891   0.038 1.464 1.462 0.818 0.540 0.232 0.251 2.124
18   2   Luxembourg 6.863   0.008 1.742 1.458 0.845 0.597 0.283 0.319 1.620
19   4   United Kingdom 6.714   0.011 1.442 1.496 0.805 0.508 0.493 0.265 1.704
20   4   Chile 6.652   0.053 1.253 1.284 0.819 0.377 0.327 0.082 2.510
21   7   United Arab Emirates 6.648   0.075 1.626 1.266 0.727 0.608 0.361 0.324 1.735
22   5   Brazil 6.635   0.317 1.107 1.431 0.617 0.437 0.162 0.111 2.769
23   4   Czech Republic 6.609   0.013 1.353 1.434 0.754 0.491 0.088 0.037 2.452
24   2   Argentina 6.599   0.051 1.185 1.440 0.695 0.495 0.109 0.060 2.614
25   4   Mexico 6.578   0.200 1.153 1.211 0.710 0.413 0.121 0.133 2.837
26   4   Singapore 6.572   0.167 1.692 1.354 0.949 0.550 0.346 0.464 1.216
27   3   Malta 6.527   0.039 1.343 1.488 0.822 0.589 0.575 0.153 1.557
28   1   Uruguay 6.454   0.091 1.218 1.412 0.719 0.579 0.175 0.178 2.172
29   10   Guatemala 6.454   0.130 0.872 1.256 0.540 0.531 0.283 0.077 2.894
30   5   Panama 6.452   0.249 1.234 1.373 0.706 0.550 0.211 0.071 2.307
31   1   France 6.442   0.036 1.431 1.388 0.844 0.470 0.130 0.173 2.006
32   1   Thailand 6.424   0.050 1.128 1.426 0.647 0.580 0.572 0.032 2.040
33   2   Taiwan 6.422   0.043 1.434 1.385 0.794 0.361 0.258 0.064 2.127
34   3   Spain 6.403   0.042 1.384 1.532 0.889 0.409 0.190 0.071 1.928
35   1   Qatar 6.375   1.871 1.274 0.710 0.604 0.330 0.439 1.145
36   5   Colombia 6.357   0.124 1.071 1.402 0.595 0.477 0.149 0.047 2.616
37   3   Saudi Arabia 6.344   0.035 1.531 1.287 0.590 0.450 0.148 0.273 2.065
38   5   Trinidad and Tobago 6.168   1.361 1.380 0.520 0.519 0.325 0.009 2.053
39   2   Kuwait 6.105   0.134 1.633 1.260 0.632 0.496 0.228 0.215 1.640
40   5   Slovakia 6.098   0.020 1.325 1.505 0.713 0.296 0.137 0.024 2.098
41   1   Bahrain 6.087   0.131 1.488 1.323 0.653 0.537 0.173 0.257 1.656
42   5   Malaysia 6.084   0.079 1.291 1.285 0.619 0.402 0.417 0.066 2.004
  Europe[Note 1] 6.080 N/A N/A N/A N/A N/A N/A N/A N/A
43   5   Nicaragua 6.071   0.079 0.737 1.287 0.653 0.448 0.302 0.131 2.514
44   7   Ecuador 6.008   0.032 1.001 1.286 0.686 0.455 0.150 0.140 2.290
45   1   El Salvador 6.003   0.065 0.910 1.182 0.596 0.432 0.078 0.090 2.715
46   11   Poland 5.973   0.138 1.292 1.446 0.699 0.520 0.158 0.059 1.798
47   2   Uzbekistan 5.971   0.016 0.786 1.549 0.498 0.658 0.416 0.247 1.817
48   2   Italy 5.964   0.013 1.395 1.445 0.853 0.256 0.173 0.028 1.813
49   7   Russia 5.963   0.107 1.282 1.469 0.547 0.374 0.052 0.033 2.206
50   2   Belize 5.956   0.908 1.081 0.450 0.548 0.240 0.097 2.632
51   2   Japan 5.920   0.001 1.417 1.436 0.913 0.506 0.121 0.164 1.363
52   8   Lithuania 5.902   0.089 1.315 1.474 0.629 0.234 0.010 0.012 2.228
53   15   Algeria 5.872   0.483 1.092 1.146 0.618 0.233 0.069 0.146 2.568
54   14   Latvia 5.850   0.290 1.261 1.405 0.639 0.326 0.153 0.074 1.994
55     Moldova 5.838   0.059 0.729 1.252 0.589 0.241 0.209 0.010 2.808
56   2   South Korea 5.838   0.003 1.402 1.128 0.900 0.258 0.207 0.063 1.880
57   14   Romania 5.825   0.297 1.218 1.150 0.685 0.457 0.134 0.004 2.177
58   1   Bolivia 5.823   0.001 0.834 1.228 0.474 0.559 0.226 0.060 2.443
59   6   Turkmenistan 5.822   0.164 1.131 1.493 0.438 0.418 0.250 0.259 1.833
60   6   Kazakhstan 5.819   0.100 1.285 1.384 0.606 0.437 0.202 0.119 1.785
61   1   North Cyprus 5.810   0.039 1.347 1.186 0.835 0.471 0.267 0.155 1.549
62   1   Slovenia 5.758   0.010 1.341 1.453 0.791 0.573 0.243 0.045 1.313
63   1   Peru 5.715   0.028 1.035 1.219 0.630 0.450 0.127 0.047 2.207
64   2   Mauritius 5.629   0.019 1.189 1.210 0.638 0.491 0.361 0.042 1.698
65   4   Cyprus 5.621   0.075 1.356 1.131 0.845 0.355 0.271 0.041 1.621
66   6   Estonia 5.611   0.094 1.321 1.477 0.695 0.479 0.099 0.183 1.358
67   6   Belarus 5.569   0.233 1.157 1.445 0.638 0.295 0.155 0.156 1.723
68   1   Libya 5.525   0.090 1.102 1.358 0.520 0.466 0.152 0.093 1.835
69   9   Turkey 5.500   0.111 1.198 1.338 0.638 0.301 0.047 0.100 1.879
70     Paraguay 5.493   0.045 0.933 1.507 0.579 0.474 0.224 0.091 1.685
71   4   Hong Kong 5.472   0.014 1.552 1.263 0.943 0.491 0.374 0.294 0.555
72   10   Philippines 5.430   0.151 0.858 1.254 0.468 0.585 0.194 0.099 1.973
73   13   Serbia 5.395   0.218 1.069 1.258 0.651 0.209 0.220 0.041 1.947
74   6   Jordan 5.336   0.033 0.991 1.239 0.605 0.418 0.172 0.120 1.791
75   16   Hungary 5.324   0.179 1.286 1.343 0.688 0.176 0.078 0.037 1.716
76   3   Jamaica 5.311   0.199 0.926 1.368 0.641 0.474 0.234 0.055 1.612
  World 5.305[Note 2] N/A N/A N/A N/A N/A N/A N/A N/A
77   3   Croatia 5.293   0.195 1.223 0.968 0.701 0.256 0.248 0.043 1.854
78   1   Kosovo 5.279   0.122 0.951 1.138 0.541 0.260 0.320 0.057 2.011
79   4   China 5.273   0.028 1.081 1.161 0.741 0.473 0.029 0.023 1.765
80   12   Pakistan 5.269   0.137 0.727 0.673 0.402 0.235 0.315 0.124 2.792
81   2   Indonesia 5.262   0.052 0.996 1.274 0.492 0.443 0.612 0.015 1.429
82   38   Venezuela 5.250   0.834 1.128 1.431 0.617 0.154 0.065 0.064 1.789
83   5   Montenegro 5.237   0.076 1.121 1.238 0.667 0.195 0.198 0.088 1.729
84   6   Morocco 5.235   0.084 0.878 0.775 0.598 0.408 0.032 0.088 2.456
85   4   Azerbaijan 7.342   0.057 1.154 1.152 0.541 0.398 0.045 0.181 1.762
86   3   Dominican Republic 5.230   0.075 1.079 1.402 0.575 0.553 0.187 0.114 1.319
87   12   Greece 5.227   0.194 1.289 1.239 0.810 0.096 0.000 0.043 1.749
88   5   Lebanon 5.225   0.096 1.075 1.130 0.735 0.289 0.264 0.038 1.695
89   5   Portugal 5.195   0.072 1.315 1.367 0.796 0.498 0.095 0.016 1.108
90   3   Bosnia and Herzegovina 5.182   0.019 0.982 1.069 0.705 0.204 0.329 0.000 1.892
91   13   Honduras 5.181   0.310 0.731 1.144 0.583 0.348 0.236 0.073 2.066
92   3   Macedonia 5.175   0.054 1.065 1.208 0.645 0.326 0.254 0.060 1.617
93   17   Somalia 5.151   0.289 0.023 0.721 0.114 0.602 0.292 0.282 3.117
94   2   Vietnam 5.074   0.013 0.789 1.277 0.652 0.571 0.235 0.088 1.462
95   8   Nigeria 5.074   0.199 0.784 1.216 0.057 0.395 0.231 0.026 2.365
96   4   Tajikistan 5.041   0.045 0.525 1.271 0.529 0.472 0.249 0.146 1.849
97   13   Bhutan 5.011   0.185 0.885 1.340 0.496 0.502 0.474 0.173 1.140
98   13   Kyrgyzstan 5.004   0.181 0.596 1.394 0.553 0.455 0.429 0.039 1.537
99   8     Nepal 4.962   0.169 0.480 1.179 0.504 0.440 0.394 0.073 1.891
  Soviet Union 4.959[Note 3] N/A N/A N/A N/A N/A N/A N/A N/A
100   1   Mongolia 4.955   0.048 1.027 1.493 0.558 0.394 0.338 0.033 1.111
101   15   South Africa 4.829   0.370 1.055 1.385 0.187 0.479 0.139 0.073 1.511
102   4   Tunisia 4.805   0.240 1.007 0.868 0.613 0.290 0.050 0.087 1.890
103   5   Palestinian Territories 4.775   0.021 0.716 1.156 0.566 0.255 0.114 0.089 1.879
104   16   Egypt 4.735   0.373 0.990 0.997 0.520 0.282 0.129 0.114 1.702
105   24   Bulgaria 4.714   0.497 1.161 1.434 0.708 0.289 0.113 0.011 0.996
106   5   Sierra Leone 4.709   0.074 0.368 0.984 0.006 0.319 0.293 0.071 2.668
107   7   Cameroon 4.695   0.182 0.564 0.946 0.133 0.430 0.236 0.051 2.334
108   3   Iran 4.692   0.121 1.157 0.712 0.639 0.249 0.387 0.049 1.499
109     Albania 4.644   0.011 0.996 0.804 0.731 0.381 0.201 0.040 1.490
110     Bangladesh 4.608   0.035 0.587 0.735 0.533 0.478 0.172 0.124 1.979
111   2   Namibia 4.574   0.964 1.098 0.339 0.520 0.077 0.093 1.482
112   10   Kenya 4.553   0.197 0.560 1.068 0.310 0.453 0.445 0.065 1.652
113 N/A   Mozambique 4.550 N/A 0.234 0.871 0.107 0.481 0.322 0.179 2.356
114   5   Myanmar 4.545   0.150 0.367 1.123 0.398 0.514 0.838 0.189 1.115
115   13   Senegal 4.535   0.316 0.479 1.180 0.409 0.378 0.183 0.115 1.790
116   10   Zambia 4.514   0.281 0.636 1.003 0.258 0.462 0.250 0.078 1.827
117   5   Iraq 4.497   0.078 1.103 0.979 0.501 0.289 0.200 0.107 1.319
118   16   Gabon 4.465   0.344 1.198 1.156 0.357 0.312 0.044 0.076 1.323
119   4   Ethiopia 4.460   0.048 0.339 0.865 0.353 0.409 0.313 0.165 2.016
120   3   Sri Lanka 4.440   0.025 1.010 1.260 0.625 0.561 0.491 0.074 0.419
121     Armenia 4.376   0.016 0.901 1.007 0.638 0.198 0.083 0.027 1.521
122   4   India 4.315   0.089 0.792 0.754 0.455 0.470 0.232 0.092 1.519
123   7   Mauritania 4.292   0.091 0.648 1.272 0.285 0.096 0.202 0.137 1.652
124   1   Congo (Brazzaville) 4.291   0.019 0.809 0.832 0.290 0.435 0.121 0.080 1.724
125   1   Georgia 4.286   0.034 0.951 0.571 0.650 0.309 0.054 0.252 1.500
126   1   Congo (Kinshasa) 4.280   0.044 0.092 1.229 0.191 0.236 0.246 0.060 2.225
127   8   Mali 4.190   0.117 0.476 1.281 0.169 0.307 0.183 0.105 1.668
128   11   Ivory Coast 4.180   0.264 0.603 0.905 0.049 0.448 0.201 0.130 1.845
129   11   Cambodia 4.168   0.261 0.602 1.006 0.430 0.633 0.386 0.068 1.043
130   3   Sudan 4.139   0.660 1.214 0.291 0.015 0.182 0.090 1.687
131   7   Ghana 4.120   0.156 0.667 0.874 0.296 0.423 0.257 0.025 1.578
132   9   Ukraine 4.096   0.228 0.895 1.395 0.576 0.123 0.270 0.023 0.814
133   13   Uganda 4.081   0.342 0.381 1.130 0.218 0.443 0.326 0.057 1.526
134   11   Burkina Faso 4.032   0.293 0.350 1.043 0.216 0.324 0.251 0.120 1.727
135   7   Niger 4.028   0.172 0.162 0.993 0.269 0.364 0.229 0.139 1.874
136   4   Malawi 3.970   0.186 0.233 0.513 0.315 0.467 0.287 0.073 2.082
137   7   Chad 3.936   0.173 0.438 0.954 0.041 0.162 0.216 0.054 2.071
138   7   Zimbabwe 3.875   0.318 0.376 1.083 0.197 0.336 0.189 0.095 1.598
139 N/A   Lesotho 3.808 N/A 0.521 1.190 0.000 0.391 0.157 0.119 1.430
140   1   Angola 3.795   0.071 0.858 1.104 0.050 0.000 0.098 0.070 1.614
141   13   Afghanistan 3.794   0.434 0.401 0.582 0.181 0.106 0.312 0.061 2.151
142   5   Botswana 3.766   0.208 1.122 1.222 0.342 0.505 0.099 0.099 0.378
143   10   Benin 3.657   0.173 0.431 0.435 0.210 0.426 0.208 0.061 1.886
144   4   Madagascar 3.644   0.051 0.306 0.913 0.375 0.189 0.209 0.067 1.585
145   9   Haiti 3.603   0.425 0.369 0.640 0.277 0.030 0.489 0.100 1.697
146   1   Yemen 3.593   0.131 0.592 0.935 0.310 0.249 0.104 0.057 1.346
147   4   South Sudan 3.591   0.241 0.397 0.601 0.163 0.147 0.286 0.117 1.880
148   2   Liberia 3.533   0.089 0.119 0.872 0.230 0.333 0.267 0.039 1.673
149   2   Guinea 3.507   0.100 0.245 0.791 0.194 0.349 0.265 0.111 1.552
150   5   Togo 3.495   0.192 0.305 0.432 0.247 0.380 0.197 0.096 1.837
151   1   Rwanda 3.471   0.044 0.369 0.946 0.326 0.582 0.253 0.455 0.540
152   4   Syria 3.462   0.393 0.777 0.396 0.501 0.082 0.494 0.151 1.062
153   4   Tanzania 3.349   0.317 0.511 1.042 0.365 0.390 0.354 0.066 0.621
154   3   Burundi 2.905   0.092 0.630 0.152 0.060 0.204 0.084 1.683
155 N/A   Central African Republic 2.693 N/A 0.000 0.000 0.019 0.271 0.281 0.057 2.066

2013–2015 averaged rankingEdit

Table

Legend:[43]

  Explained by: GDP per capita
  Explained by: Social support
  Explained by: Healthy life expectancy
  Explained by: Freedom to make life choices
  Explained by: Generosity
  Trust or absence of corruption, as explained by the publicly perceived absence of corruption in government and business[44]

Italics: States with limited recognition and disputed territories

Overall Rank
[45][46]
Country Score Change Over
Prior Year
GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Trust
1   Denmark 7.526   -0.401
2    Switzerland 7.509   0.035
3   Iceland 7.501   0.000
4   Norway 7.498   0.082
5   Finland 7.413   -0.259
6   Canada 7.404   -0.041
7   Netherlands 7.339   -0.119
8   New Zealand 7.334   -0.097
9   Australia 7.313   0.002
10   Sweden 7.291   -0.017
11   Israel 7.267   0.258
12   Austria 7.119   -0.003
13   United States 7.104   -0.261
14   Costa Rica 7.087   -0.171
15   Puerto Rico 7.039   0.446
16   Germany 6.994   0.486
17   Brazil 6.952   0.474
18   Belgium 6.929   -0.311
19   Ireland 6.907   -0.238
20   Luxembourg 6.871   0.000
21   Mexico 6.778   0.225
22   Singapore 6.739   0.099
23   United Kingdom 6.725   -0.161
24   Chile 6.705   0.826
25   Panama 6.701   0.191
26   Argentina 6.650   0.457
27   Czech Republic 6.596   0.126
28   United Arab Emirates 6.573   -0.161
29   Uruguay 6.545   0.804
30   Malta 6.488   0.000
31   Colombia 6.481   0.399
32   France 6.478   -0.336
33   Thailand 6.474   0.631
34   Saudi Arabia 6.379   -0.794
35   Taiwan 6.379   0.190
36   Qatar 6.375   0.000
37   Spain 6.361   -0.711
38   Algeria 6.355   0.000
39   Guatemala 6.324   0.211
40   Suriname 6.269   0.000
41   Kuwait 6.239   0.164
42   Bahrain 6.218   0.000
43   Trinidad and Tobago 6.168   0.336
44   Venezuela 6.084   -0.762
45   Slovakia 6.078   0.814
46   El Salvador 6.068   0.572
47   Malaysia 6.005   -0.132
48   Nicaragua 5.992   1.285
49   Uzbekistan 5.987   0.755
50   Italy 5.977   -0.735
51   Ecuador 5.976   0.966
52   Belize 5.956   -0.495
53   Japan 5.921   -0.446
54   Kazakhstan 5.919   0.322
55   Moldova 5.897   0.959
56   Russia 5.856   0.738
57   Poland 5.835   0.098
58   South Korea 5.835   0.295
59   Bolivia 5.822   0.322
60   Lithuania 5.813   -0.069
61   Belarus 5.802   0.165
62   Northern Cyprus 5.771   0.000
63   Slovenia 5.768   -0.044
64   Peru 5.743   0.730
65   Turkmenistan 5.658   0.000
66   Mauritius 5.648   0.000
67   Libya 5.615   0.000
68   Latvia 5.560   0.872
69   Cyprus 5.546   -0.692
70   Paraguay 5.538   0.536
71   Romania 5.528   0.310
72   Estonia 5.517   0.165
73   Jamaica 5.510   -0.698
74   Croatia 5.488   -0.333
75   Hong Kong 5.458   -0.053
76   Somalia 5.440   0.000
77   Kosovo[Note 4] 5.401   0.298
78   Turkey 5.389   0.216
79   Indonesia 5.314   0.295
80   Jordan 5.303   -0.638
81   Azerbaijan 5.291   0.642
82   Philippines 5.279   0.425
83   People's Republic of China 5.245   0.525
84   Bhutan 5.196   0.000
85   Kyrgyzstan 5.185   0.515
86   Serbia 5.177   0.426
87   Bosnia and Herzegovina 5.163   0.263
88   Montenegro 5.161   -0.035
89   Dominican Republic 5.155   0.070
90   Morocco 5.151   0.000
91   Hungary 5.145   0.070
92   Pakistan 5.132   -0.374
93   Lebanon 5.129   0.059
94   Portugal 5.123   -0.282
95   Macedonia 5.121   0.627
96   Vietnam 5.061   -0.299
97   Somaliland region 5.057   0.000
98   Tunisia 5.045   0.000
99   Greece 5.033   -1.294
100   Tajikistan 4.996   0.474
101   Mongolia 4.907   0.298
102   Laos 4.876   -0.344
103   Nigeria 4.875   0.075
104   Honduras 4.871   -0.375
105   Iran 4.813   -0.507
106   Zambia 4.795   0.381
107     Nepal 4.793   0.135
108   Palestinian Territories[Note 5] 4.754   0.321
109   Albania 4.655   0.021
110   Bangladesh 4.643   0.170
111   Sierra Leone 4.635   1.028
112   Iraq 4.575   0.000
113   Namibia 4.574   -0.312
114   Cameroon 4.513   0.413
115   Ethiopia 4.508   0.000
116   South Africa 4.459   -0.686
117   Sri Lanka 4.415   0.037
118   India 4.404   -0.750
119   Myanmar 4.395   0.000
120   Egypt 4.362   -0.996
121   Armenia 4.360   -0.226
122   Kenya 4.356   -0.044
123   Ukraine 4.324   -0.701
124   Ghana 4.276   -0.600
125   Republic of the Congo 4.272