World Happiness Report

The World Happiness Report is a publication of the United Nations Sustainable Development Solutions Network. It contains articles and rankings of national happiness, based on respondent ratings of their own lives,[1] which the report also correlates with various (quality of) life factors.[2] As of March 2020, Finland was ranked the happiest country in the world three times in a row.[3][4]

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.[5] The Editors of the 2020 report are John F. Helliwell, Richard Layard, Jeffrey D. Sachs, and Jan-Emmanuel De Neve. Associate Editors are Lara B. Aknin, Shun Wang, and Haifang Huang.

History

In July 2011, the UN General Assembly adopted resolution 65/309 Happiness: Towards a Holistic Definition of Development[6] 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,[7] which was chaired by UN Secretary General Ban Ki-moon and Prime Minister Jigmi Thinley of Bhutan, a nation that adopted gross national happiness instead of gross domestic product as their main development indicator.[8]

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,[9] drawing international attention.[10] The first 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 in 2015 the third. Since 2016, it has been issued on an annual basis on the 20th of March, to coincide with the UN's International Day of Happiness.[11]

Methods and philosophy

The rankings of national happiness are based on a Cantril ladder survey. Nationally representative samples of respondents are asked to think of a ladder, with the best possible life for them being a 10, and the worst possible life being a 0. They are then asked to rate their own current lives on that 0 to 10 scale.[12] The report correlates the life evaluation results with various life factors.[2]

The life factor variables used in the reports are reflective of determinants that explain national-level differences in life evaluations across research literature. However, certain variables, such as unemployment or inequality, are not considered as comparable data is not yet available across all countries. The variables used illustrate important correlations rather than causal estimates.[13]

The use of subjective measurements of wellbeing is meant to be a bottom-up approach which emancipates respondents to evaluate their own wellbeing.[14] In this context, the value of the Cantril Ladder is the fact that a respondent can self-anchor themselves based on their perspective.[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.

Annual report topics

World Happiness Reports were issued in 2012, 2013, 2015, 2016 (an update), 2017, 2018, 2019, and 2020. In addition to ranking countries happiness and well-being levels, each report has contributing authors and most focus on a particular theme. The data used to rank countries in each report is drawn from the Gallup World Poll,[16] as well as other sources such as the World Values Survey, in some of the reports. The Gallup World Poll questionnaire[17] 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 & ethics, (13) transportation, and (14) work.

2020 World Happiness Report

The 2020 World Happiness Report, released on March 20, 2020, ranks 156 countries based on an average of three years of surveys between 2017 and 2019. The 2020 report especially focuses on the environment – social, urban, and natural, and includes links between happiness and sustainable development.[18]

Finland holds the rank of the happiest country in the world for the third consecutive year.[19] It is followed by Denmark, Switzerland, Iceland and Norway. Afghanistan received the lowest score, with South Sudan and Zimbabwe just above it.[20] In addition to country rankings, this is the first year that the World Happiness Report ranks cities. The happiest city in the world is Helsinki, the capital of Finland. The report shows that the happiness ranking of cities is almost identical to that of the countries they are in.

In 2020, the editorial team expanded and Jan-Emmanuel De Neve became a Co-Editor, joining John Helliwell, Richard Layard, Jeffrey D. Sachs, and the Oxford Wellbeing Research Centre became a fourth research pillar for the Report. Associate Editors were Lara Aknin, Haifang Huang and Shun Wang, and Sharon Paculor was recognised as Production Editor. From 2020, Gallup became a full data partner.

2019 World Happiness Report

Descriptions

The 2019 World Happiness Report focuses community. According to the 2019 Happiness Report, Finland is the happiest country in the world,[21] with Denmark, Norway, Iceland, and The Netherlands holding the next top positions.

The second chapter of the report, 'Changing World Happiness', measures year-to-year changes in happiness across countries. For this, changes are reported from 2005-2008 to 2016-2018. Of the 132 countries with data for 2005-2008 and 2016-2018, 106 had significant changes: 64 were significant increases and 42 were significant decreases. Benin was the top gainer, while Venezuela showed the greatest decrease. The chapter also considers how happiness has been affected by changes in the quality of government. The third chapter considers happiness and voting behaviour, with data suggesting that happier people are more likely to vote, and to vote for incumbents.

The fourth chapter is an examination of happiness and pro-social behaviour, finding that people are more likely to derive happiness from helping others when they feel free to choose whether or how to help, when they feel connected to the people they are helping, and when they can see how their help is making a difference.

The final topic of the report, digital and information technologies and happiness, is covered in the remaining chapters.

The editorial team for the 2019 report was expanded to include Lara Aknin as Associate Editor.

2018 World Happiness Report

Descriptions

The 2018 iteration was released on 20 March and focused on the relation between happiness and migration.

2017 World Happiness Report

Descriptions

The fifth World Happiness Report emphasizes the importance of the social foundations of happiness, which are analysed by comparing the life experiences between the top and bottom ten countries in the year’s happiness rankings.Norway topped the global happiness rankings in this report, jumping from fourth place in 2016 to first in 2017. It was followed by Denmark, Iceland and Switzerland. The second chapter of the report focuses on the global rankings and calculates that bringing the social foundations from the lowest levels up to world average levels in 2014-2016 would increase life evaluations by almost two points. This means that social foundations effects are together larger than those of GDP per capita and healthy life expectancy.

The third chapter focuses on economic growth and wellbeing in China, and shows that unemployment and changes in the social safety nets explain both the post-1990 fall in happiness levels and the subsequent recovery since 2005. The fourth chapter discusses the reasons why countries in Africa are generally lagging behind others in life evaluations. The fifth chapter analyses key determinants of happiness, including income, mental health, and physical health. The sixth chapter considers the determinant of employment and work in particular, emphasising the importance of employment for happiness across the world. The final chapter uses happiness history over the past ten years, analysing the case of the United States through the lens of social foundations of happiness.

2016 World Happiness Report

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,[22] 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,[23] 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.[24] 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[25] 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 Report

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[26] and April 2012 UN High Level Meeting: Well-being and Happiness: Defining a New Economic Paradigm,[27] Bhutan's Gross National Happiness[28] 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. It finds 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.[29] 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,[30] 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 Report

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 US, 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,[31] 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.[32] 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 Report

Descriptions

The 2012 World Happiness Report was issued at the UN High Level Meeting Well-being and Happiness: Defining a New Economic Paradigm[33] 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,[34] 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.[35]

Chapter 3, The Causes of Happiness and Misery is written by Richard Layard, Andrew Clark,[36] and Claudia Senik,[37] 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,[38] Sabine Alkire,[39] 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[40] in the UK's Office of National Statistics[41] (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,[42] which it issued in 2013.

International rankings

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
  • 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. The six metrics are used to explain the estimated extent to which each of these factors contribute to increasing life satisfaction when compared to the hypothetical nation of Dystopia, but they themselves do not have an impact on the total score reported for each country.[43]

2020 report

The 2020 report features the happiness score averaged over the years 2017–2019. Finland is the happiest country in the world, followed by Denmark, Switzerland, Iceland, and Norway. The data comes from the Gallup World Poll, based entirely on survey scores and answers to the main life evaluation question asked in the poll.

Overall rank Country or region Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Perceptions of corruption
1 Finland7.8091.2851.5000.9610.6620.1600.478
2 Denmark7.6461.3271.5030.9790.6650.2430.495
3  Switzerland7.5601.3911.4721.0410.6290.2690.408
4 Iceland7.5041.3271.5481.0010.6620.3620.145
5 Norway7.4881.4241.4951.0080.6700.2880.434
6 Netherlands7.4491.3391.4640.9760.6140.3360.369
7 Sweden7.3531.3221.4330.9860.6500.2730.442
8 New Zealand7.3001.2421.4871.0080.6470.3260.461
9 Austria7.2941.3171.4371.0010.6030.2560.281
10 Luxembourg7.2381.5371.3880.9860.6100.1960.367
11 Canada7.2321.3021.4351.0230.6440.2820.352
12 Australia7.2231.3101.4771.0230.6220.3250.336
13 United Kingdom7.1651.2731.4580.9760.5250.3730.323
14 Israel7.1291.2161.4031.0080.4210.2670.100
15  Costa Rica7.1210.9811.3750.9400.6450.1310.096
16  Ireland7.0941.4471.4710.9760.5880.2950.373
17  Germany7.0761.3141.3690.9720.5640.2520.309
18 United States6.9401.3741.4050.8320.5350.2980.152
19 Czech Republic6.9111.2121.4050.8950.5060.0460.050
20 Belgium6.8641.2961.3990.9650.5000.1470.209
21 United Arab Emirates6.7911.4311.2510.7880.6530.2810.220
22 Malta6.7731.2531.4430.9720.6330.3410.179
23 France6.6641.2681.4591.0300.5140.1130.227
24 Mexico6.4651.0241.2260.8320.5540.0830.083
25  Taiwan6.4551.3271.3580.8780.4490.1510.132
26  Uruguay 6.440 1.071 1.425 0.857 0.594 0.132 0.193
27  Saudi Arabia 6.406 1.334 1.310 0.760 0.548 0.087 0.163
28  Spain 6.401 1.231 1.421 1.051 0.426 0.165 0.110
29  Guatemala 6.399 0.754 1.174 0.706 0.613 0.171 0.098
30  Italy 6.387 1.236 1.347 1.023 0.321 0.170 0.040
31  Singapore 6.377 1.520 1.395 1.138 0.635 0.219 0.533
32  Brazil 6.376 0.953 1.363 0.766 0.483 0.132 0.107
33 Slovenia6.3631.2091.4650.9330.6470.1460.077
34 El Salvador6.3480.7491.1490.7530.5240.1190.117
35 Kosovo6.3250.8401.1840.6730.5570.3250.009
36 Panama6.3051.0981.3760.8790.5800.0970.054
37 Slovakia6.2811.1951.4240.8530.4240.1170.011
38 Uzbekistan6.2580.6971.4340.7170.6930.3630.280
39 Chile6.2281.0971.3230.8890.4170.1560.063
40 Bahrain6.2271.2971.3150.8390.6100.2870.127
41 Lithuania6.2151.1941.4330.7950.4200.0540.081
42 Trinidad and Tobago6.1921.1681.4070.6590.5530.1990.015
43  Poland 6.186 1.169 1.310 0.868 0.558 0.063 0.161
44  Colombia 6.163 0.932 1.334 0.810 0.527 0.092 0.046
45  Cyprus 6.159 1.213 1.149 1.026 0.459 0.228 0.051
46  Nicaragua 6.137 0.620 1.271 0.803 0.560 0.213 0.174
47  Romania 6.124 1.120 1.194 0.792 0.535 0.068 0.001
48  Kuwait 6.102 1.425 1.245 0.776 0.570 0.133 0.113
49  Mauritius 6.101 1.074 1.396 0.763 0.591 0.187 0.084
50  Kazakhstan 6.058 1.123 1.453 0.699 0.497 0.154 0.110
51  Estonia 6.022 1.192 1.453 0.843 0.577 0.125 0.202
52 Philippines6.0060.7751.2450.6020.6220.1290.130
53 Hungary6.0001.1641.4230.8070.3860.0700.028
54 Thailand5.9991.0071.3480.7940.6090.3770.032
55 Argentina5.9751.0281.3730.8500.5210.0700.060
56 Honduras5.9530.5991.1870.7920.5680.2570.087
57 Latvia5.9501.1411.4140.7780.3290.0750.090
58 Ecuador5.9250.8531.2210.8390.5550.1150.087
59 Portugal5.9111.1691.3400.9790.5900.0530.028
60  Jamaica 5.890 0.779 1.408 0.788 0.553 0.116 0.030
61  South Korea 5.872 1.245 1.134 1.023 0.259 0.170 0.095
62  Japan 5.871 1.267 1.332 1.073 0.495 0.036 0.181
63  Peru 5.797 0.919 1.208 0.824 0.513 0.092 0.027
64  Serbia 5.778 0.988 1.327 0.828 0.395 0.150 0.059
65  Bolivia 5.747 0.731 1.142 0.662 0.574 0.138 0.073
66  Pakistan 5.693 0.617 0.873 0.470 0.405 0.229 0.123
67  Paraguay 5.692 0.898 1.368 0.736 0.587 0.204 0.065
68  Dominican Republic 5.689 0.983 1.329 0.742 0.563 0.112 0.116
69  Bosnia and Herzegovina 5.674 0.918 1.204 0.814 0.305 0.264 0.001
70  Moldova 5.608 0.708 1.237 0.713 0.390 0.174 0.014
71  Tajikistan 5.556 0.475 1.218 0.681 0.521 0.182 0.222
72  Montenegro 5.546 1.010 1.266 0.839 0.303 0.149 0.098
73  Russia 5.546 1.127 1.379 0.680 0.399 0.099 0.046
74  Kyrgyzstan 5.542 0.513 1.341 0.681 0.615 0.301 0.030
75  Belarus 5.540 1.019 1.387 0.753 0.291 0.090 0.194
76  North Cyprus 5.536 1.213 1.183 1.026 0.478 0.199 0.200
77  Greece 5.515 1.128 1.169 0.979 0.174 0.000 0.049
78  Hong Kong 5.510 1.377 1.244 1.137 0.459 0.288 0.332
79  Croatia 5.505 1.109 1.311 0.901 0.381 0.114 0.012
80 Libya5.4891.0221.1960.6160.4510.1430.172
81 Mongolia5.4560.9051.4590.6160.3560.2640.047
82 Malaysia5.3841.1681.1740.7890.5970.2750.062
83 Vietnam5.3530.7181.2530.8190.6510.1360.090
84 Indonesia5.2860.8921.1550.6100.5680.5430.038
85 Ivory Coast5.2330.5370.8000.1550.3970.1700.093
86 Benin5.2160.3660.3520.3280.4060.1970.126
87 Maldives5.1980.9381.4020.9140.5480.2240.072
88 Congo (Brazzaville)5.1940.6340.7580.4580.3870.1170.119
89 Azerbaijan5.1650.9901.1810.7310.4680.0400.247
90 Macedonia5.1600.9351.1830.8030.4100.1860.025
91 Ghana5.1480.5760.9660.4320.4770.2610.057
92   Nepal5.1370.4441.1010.6690.4810.3010.128
93 Turkey5.1321.1271.1970.7810.2540.0860.121
94 China5.1240.9911.1320.8670.6020.0790.117
95 Turkmenistan5.1191.0091.5100.6120.5150.3230.034
96 Bulgaria5.1021.0471.4610.7780.4180.1040.000
97 Morocco5.0950.7590.6450.7450.4500.0400.077
98 Cameroon5.0850.5040.9000.2700.4390.1980.054
99 Venezuela5.0530.7701.3490.7670.2720.0870.064
100 Algeria5.0050.9441.1430.7450.0840.1190.129
101 Senegal4.9810.5040.9550.5180.3520.1640.082
102 Guinea4.9490.3900.7510.3340.3720.2490.112
103 Niger4.9100.1080.7040.2990.4350.2080.138
104 Laos4.8890.7150.9870.4860.6120.2730.194
105 Albania4.8830.9070.8300.8460.4620.1710.025
106 Cambodia4.8480.5451.0710.5880.6750.2330.073
107 Bangladesh4.8330.5560.8690.6950.6040.1770.177
108  Gabon 4.829 0.988 1.106 0.523 0.369 0.052 0.056
109  South Africa 4.814 0.902 1.259 0.407 0.435 0.126 0.060
110  Iraq 4.785 0.982 1.011 0.529 0.284 0.153 0.073
111  Lebanon 4.772 0.889 1.192 0.789 0.186 0.159 0.022
112  Burkina Faso 4.769 0.302 0.929 0.313 0.322 0.186 0.126
113  Gambia 4.751 0.257 0.883 0.353 0.403 0.426 0.158
114  Mali 4.729 0.352 0.973 0.235 0.378 0.170 0.062
115  Nigeria 4.724 0.646 0.987 0.168 0.435 0.221 0.048
116 Armenia4.6770.8081.0350.7760.3780.1070.105
117 Georgia4.6730.8470.7310.6950.4850.0480.174
118 Iran4.6721.0290.8860.7490.3010.2770.143
119 Jordan4.6330.7851.1400.7780.4250.0910.152
120 Mozambique4.6240.1790.9550.3240.5610.2200.163
121 Kenya4.5830.4760.9050.5360.5190.3940.067
122 Namibia4.5710.8401.2460.4070.4450.0760.054
123 Ukraine4.5610.7801.3210.6990.3190.1790.010
124 Liberia4.5580.1740.9210.3920.4060.2270.051
125 Palestine4.5530.5881.1950.6140.2990.0920.072
126 Uganda4.4320.3121.0520.3780.4020.2650.064
127 Chad4.4230.3020.7390.1090.2290.2110.086
128 Tunisia4.3920.8750.8720.7810.2360.0560.044
129 Mauritania4.3750.5401.1130.4250.1860.1290.122
130 Sri Lanka4.3270.8981.1950.7920.5290.2530.049
131 Congo (Kinshasa)4.3110.0620.8330.2770.3650.2540.081
132  Swaziland 4.308 0.828 1.065 0.216 0.300 0.067 0.147
133  Myanmar 4.308 0.678 1.098 0.495 0.597 0.570 0.188
134  Comoros 4.289 0.416 0.723 0.437 0.181 0.259 0.100
135  Togo 4.187 0.268 0.548 0.343 0.304 0.201 0.115
136  Ethiopia 4.186 0.315 1.001 0.484 0.413 0.228 0.117
137  Madagascar 4.166 0.245 0.824 0.501 0.193 0.191 0.076
138  Egypt 4.151 0.875 0.983 0.597 0.374 0.069 0.095
139  Sierra Leone 3.926 0.241 0.748 0.204 0.382 0.258 0.048
140  Burundi 3.775 0.000 0.404 0.295 0.275 0.187 0.212
141  Zambia 3.759 0.537 0.896 0.364 0.491 0.251 0.087
142  Haiti 3.721 0.285 0.647 0.374 0.169 0.464 0.162
143  Lesotho 3.653 0.455 1.089 0.101 0.409 0.103 0.050
144  India 3.573 0.731 0.644 0.541 0.581 0.237 0.106
145  Malawi 3.538 0.177 0.530 0.446 0.487 0.213 0.132
146  Yemen 3.527 0.393 1.177 0.415 0.244 0.095 0.087
147  Botswana 3.479 0.998 1.086 0.494 0.509 0.033 0.102
148  Tanzania 3.476 0.457 0.873 0.443 0.509 0.272 0.204
149  Central African Republic 3.476 0.041 0.000 0.000 0.293 0.254 0.028
150  Rwanda 3.312 0.343 0.523 0.572 0.604 0.236 0.486
151  Zimbabwe 3.299 0.426 1.048 0.375 0.377 0.151 0.081
152  South Sudan 2.817 0.289 0.553 0.209 0.066 0.210 0.111
153  Afghanistan 2.567 0.301 0.356 0.266 0.000 0.135 0.001

2019 report

The 2019 report features the happiness score averaged over the years 2016–2018. As per the 2019 Happiness Index, Finland is the happiest country in the world. Denmark, Norway, Iceland and Netherlands hold the next top positions. The report was published on 20 March 2019 by UN. The full report can be read at 2019 Report. The World Happiness Report is a landmark survey of the state of global happiness.

Table
Overall rank Country or region Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Perceptions of corruption
1 Finland7.7691.3401.5870.9860.5960.1530.393
2 Denmark7.6001.3831.5730.9960.5920.2520.410
3 Norway7.5541.4881.5821.0280.6030.2710.341
4 Iceland7.4941.3801.6241.0260.5910.3540.118
5 Netherlands7.4881.3961.5220.9990.5570.3220.298
6  Switzerland7.4801.4521.5261.0520.5720.2630.343
7 Sweden7.3431.3871.4871.0090.5740.2670.373
8 New Zealand7.3071.3031.5571.0260.5850.3300.380
9 Canada7.2781.3651.5051.0390.5840.2850.308
10 Austria7.2461.3761.4751.0160.5320.2440.226
11 Australia7.2281.3721.5481.0360.5570.3320.290
12 Costa Rica7.1671.0341.4410.9630.5580.1440.093
13 Israel7.1391.2761.4551.0290.3710.2610.082
14 Luxembourg7.0901.6091.4791.0120.5260.1940.316
15 United Kingdom7.0541.3331.5380.9960.4500.3480.278
16 Ireland7.0211.4991.5530.9990.5160.2980.310
17 Germany6.9851.3731.4540.9870.4950.2610.265
18 Belgium6.9231.3561.5040.9860.4730.1600.210
19 United States of America6.8921.4331.4570.8740.4540.2800.128
20 Czech Republic6.8521.2691.4870.9200.4570.0460.036
21 United Arab Emirates6.8251.5031.3100.8250.5980.2620.182
22 Malta6.7261.3001.5200.9990.5640.3750.151
23 Mexico6.5951.0701.3230.8610.4330.0740.073
24 France6.5921.3241.4721.0450.4360.1110.183
25 Taiwan6.4461.3681.4300.9140.3510.2420.097
26 Chile6.4441.1591.3690.9200.3570.1870.056
27 Guatemala6.4360.8001.2690.7460.5350.1750.078
28 Saudi Arabia6.3751.4031.3570.7950.4390.0800.132
29 Qatar6.3741.6841.3130.8710.5550.2200.167
30 Spain6.3541.2861.4841.0620.3620.1530.079
31 Panama6.3211.1491.4420.9100.5160.1090.054
32 Brazil6.3001.0041.4390.8020.3900.0990.086
33 Uruguay6.2931.1241.4650.8910.5230.1270.150
34 Singapore6.2621.5721.4631.1410.5560.2710.453
35 El Salvador6.2530.7941.2420.7890.4300.0930.074
36 Italy6.2231.2941.4881.0390.2310.1580.030
37 Bahrain6.1991.3621.3680.8710.5360.2550.110
38 Slovakia6.1981.2461.5040.8810.3340.1210.014
39 Trinidad & Tobago6.1921.2311.4770.7130.4890.1850.016
40 Poland6.1821.2061.4380.8840.4830.1170.050
41 Uzbekistan6.1740.7451.5290.7560.6310.3220.240
42 Lithuania6.1491.2381.5150.8180.2910.0430.042
43 Colombia6.1250.9851.4100.8410.4700.0990.034
44 Slovenia6.1181.2581.5230.9530.5640.1440.057
45 Nicaragua6.1050.6941.3250.8350.4350.2000.127
46 Kosovo6.1000.8821.2320.7580.4890.2620.006
47 Argentina6.0861.0921.4320.8810.4710.0660.050
48 Romania6.0701.1621.2320.8250.4620.0830.005
49 Cyprus6.0461.2631.2231.0420.4060.1900.041
50 Ecuador6.0280.9121.3120.8680.4980.1260.087
51 Kuwait6.0111.0501.4090.8280.5570.3590.028
52 Thailand6.0081.0501.4090.8280.5570.3590.028
53 Latvia5.9401.1871.4650.8120.2640.0750.064
54 South Korea5.8951.3011.2191.0360.1590.1750.056
55 Estonia5.8931.2371.5280.8740.4950.1030.161
56 Jamaica5.8900.8311.4780.8310.4900.1070.028
57 Mauritius5.8881.1201.4020.7980.4980.2150.060
58 Japan5.8861.3271.4191.0880.4450.0690.140
59 Honduras5.8600.6421.2360.8280.5070.2460.078
60 Kazakhstan5.8091.1731.5080.7290.4100.1460.096
61 Bolivia5.7790.7761.2090.7060.5110.1370.064
62 Hungary5.7581.2011.4100.8280.1990.0810.020
63 Paraguay5.7430.8551.4750.7770.5140.1840.080
64 Northern Cyprus5.7181.2631.2521.0420.4170.1910.162
65 Peru5.6970.9601.2740.8540.4550.0830.027
66 Portugal5.6931.2211.4310.9990.5080.0470.025
67 Pakistan5.6530.6770.8860.5350.3130.2200.098
68 Russia5.6481.1831.4520.7260.3340.0820.031
69 Philippines5.6310.8071.2930.6570.5580.1170.107
70 Serbia5.6031.0041.3830.8540.2820.1370.039
71 Moldova5.5290.6851.3280.7390.2450.1810.000
72 Libya5.5251.0441.3030.6730.4160.1330.152
73 Montenegro5.5231.0511.3610.8710.1970.1420.080
74 Tajikistan5.4670.4931.0980.7180.3890.2300.144
75 Croatia5.4321.1551.2660.9140.2960.1190.022
76 Hong Kong5.4301.4381.2771.1220.4400.2580.287
77 Dominican Republic5.4251.0151.4010.7790.4970.1130.101
78 Bosnia and Herzegovina5.3860.9451.2120.8450.2120.2630.006
79 Turkey5.3731.1831.3600.8080.1950.0830.106
80 Malaysia5.3391.2211.1710.8280.5080.2600.024
81 Belarus5.3231.0671.4650.7890.2350.0940.142
82 Greece5.2871.1811.1560.9990.0670.0000.034
83 Mongolia5.2850.9481.5310.6670.3170.2350.038
84 North Macedonia5.2740.9831.2940.8380.3450.1850.034
85 Nigeria5.2650.6961.1110.2450.4260.2150.041
86 Kyrgyzstan5.2610.5511.4380.7230.5080.3000.023
87 Turkmenistan5.2471.0521.5380.6570.3940.2440.028
88 Algeria5.2111.0021.1600.7850.0860.0730.114
89 Morocco5.2080.8010.7820.7820.4180.0360.076
90 Azerbaijan5.2081.0431.1470.7690.3510.0350.182
91 Lebanon5.1970.9871.2240.8150.2160.1660.027
92 Indonesia5.1920.9311.2030.6600.4910.4980.028
93 China5.1911.0291.1250.8930.5210.0580.100
94 Vietnam5.1750.7411.3460.8510.5430.1470.073
95 Bhutan5.0820.8131.3210.6040.4570.3700.167
96 Cameroon5.0440.5490.9100.3310.3810.1870.037
97 Bulgaria5.0111.0921.5130.8150.3110.0810.004
98 Ghana4.9960.6110.8680.4860.3810.2450.040
99 Ivory Coast4.9440.5690.8080.2320.3520.1540.090
100   Nepal4.9130.4461.2260.6770.4390.2850.089
101 Jordan4.9060.8371.2250.8150.3830.1100.130
102 Benin4.8830.3930.4370.3970.3490.1750.082
103 Congo (Brazzaville)4.8120.6730.7990.5080.3720.1050.093
104 Gabon4.7991.0571.1830.5710.2950.0430.055
105 Laos4.7960.7641.0300.5510.5470.2660.164
106 South Africa4.7220.9601.3510.4690.3890.1300.055
107 Albania4.7190.9470.8480.8740.3830.1780.027
108 Venezuela4.7070.9601.4270.8050.1540.0640.047
109 Cambodia4.7000.5741.1220.6370.6090.2320.062
110 Palestinian Territories4.6960.6571.2470.6720.2250.1030.066
111 Senegal4.6810.4501.1340.5710.2920.1530.072
112 Somalia4.6680.0000.6980.2680.5590.2430.270
113  Namibia 4.639 0.879 1.313 0.477 0.401 0.070 0.056
114  Niger 4.628 0.138 0.774 0.366 0.318 0.188 0.102
115  Burkina Faso 4.587 0.331 1.056 0.380 0.255 0.177 0.113
116 Armenia4.5590.8501.0550.8150.2830.0950.064
117 Iran4.5481.1000.8420.7850.3050.2700.125
118  Guinea 4.534 0.380 0.829 0.375 0.332 0.207 0.086
119  Georgia 4.519 0.886 0.666 0.752 0.346 0.043 0.164
120  Gambia 4.516 0.308 0.939 0.428 0.382 0.269 0.167
121  Kenya 4.509 0.512 0.983 0.581 0.431 0.372 0.053
122  Mauritania 4.490 0.570 1.167 0.489 0.066 0.106 0.088
123  Mozambique 4.466 0.204 0.986 0.390 0.494 0.197 0.138
124 Tunisia4.4610.9211.0000.8150.1670.0590.055
125 Bangladesh4.4560.5620.9280.7230.5270.1660.143
126 Iraq4.4371.0430.9800.5740.2410.1480.089
127  Congo (Kinshasa) 4.418 0.094 1.125 0.357 0.269 0.212 0.053
128 Mali4.3900.3851.1050.3080.3270.1530.052
129 Sierra Leone4.3740.2680.8410.2420.3090.2520.045
130 Sri Lanka4.3660.9491.2650.8310.4700.2440.047
131 Myanmar4.3600.7101.1810.5550.5250.5660.172
132 Chad4.3500.3500.7660.1920.1740.1980.078
133  Ukraine 4.332 0.820 1.390 0.739 0.178 0.187 0.010
134 Ethiopia4.2860.3361.0330.5320.3440.2090.100
135  Eswatini 4.212 0.811 1.149 0.000 0.313 0.074 0.135
136 Uganda4.1890.3321.0690.4430.3560.2520.060
137 Egypt4.1660.9131.0390.6440.2410.0760.067
138 Zambia4.1070.5781.0580.4260.4310.2470.087
139 Togo4.0850.2750.5720.4100.2930.1770.085
140 India4.0150.7550.7650.5880.4980.2000.085
141  Liberia 3.975 0.073 0.922 0.443 0.370 0.233 0.033
142  Comoros 3.973 0.274 0.757 0.505 0.142 0.275 0.078
143 Madagascar3.9330.2740.9160.5550.1480.1690.041
144 Lesotho3.8020.4891.1690.1680.3590.1070.093
145 Burundi3.7750.0460.4470.3800.2200.1760.180
146 Zimbabwe3.6630.3661.1140.4330.3610.1510.089
147 Haiti3.5970.3230.6880.4490.0260.4190.110
148 Botswana3.4881.0411.1450.5380.4550.0250.100
149 Syria3.4620.6190.3780.4400.0130.3310.141
150 Malawi3.4100.1910.5600.4950.4430.2180.089
151 Yemen3.3800.2871.1630.4630.1430.1080.077
152 Rwanda3.3340.3590.7110.6140.5550.2170.411
153 Tanzania3.2310.4760.8850.4990.4170.2760.147
154 Afghanistan3.2030.3500.5170.3610.0000.1580.025
155 Central African Republic3.0830.0260.0000.1050.2250.2350.035
156 South Sudan2.8530.3060.5750.2950.0100.2020.091

2018 report

The 2018 report features the happiness score averaged over the years 2015–2017. 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 14 at a launch event at the Pontifical Academy of Sciences in the Vatican.

Table
Overall rank Country or region Score GDP per capita Social support Healthy life expectancy Freedom to make life choices Generosity Perceptions of corruption
1 Finland7.6321.3051.5920.8740.6810.2020.393
2 Norway7.5941.4561.5820.8610.6860.2860.340
3 Denmark7.5551.3511.5900.8680.6830.2840.408
4 Iceland7.4951.3431.6440.9140.6770.3530.138
5  Switzerland7.4871.4201.5490.9270.6600.2560.357
6 Netherlands7.4411.3611.4880.8780.6380.3330.295
7 Canada7.3281.3301.5320.8960.6530.3210.291
8 New Zealand7.3241.2681.6010.8760.6690.3650.389
9 Sweden7.3141.3551.5010.9130.6590.2850.383
10 Australia7.2721.3401.5730.9100.6470.3610.302
11 United Kingdom7.1901.2441.4330.8880.4640.2620.082
12 Austria7.1391.3411.5040.8910.6170.2420.224
13 Costa Rica7.0721.0101.4590.8170.6320.1430.101
14 Ireland6.9771.4481.5830.8760.6140.3070.306
15 Germany6.9651.3401.4740.8610.5860.2730.280
16 Belgium6.9271.3241.4830.8940.5830.1880.240
17 Luxembourg6.9101.5761.5200.8960.6320.1960.321
18 United States6.8861.3981.4710.8190.5470.2910.133
19 Israel6.8141.3011.5590.8830.5330.3540.272
20 United Arab Emirates6.7742.0960.7760.6700.2840.186N/A
21 Czech Republic6.7111.2331.4890.8540.5430.0640.034
22 Malta6.6271.2701.5250.8840.6450.3760.142
23 France6.4891.2931.4660.9080.5200.0980.176
24 Mexico6.4881.0381.2520.7610.4790.0690.095
25 Chile6.4761.1311.3310.8080.4310.1970.061
26 Taiwan6.4411.3651.4360.8570.4180.1510.078
27 Panama6.4301.1121.4380.7590.5970.1250.063
28 Brazil6.4190.9861.4740.6750.4930.1100.088
29 Argentina6.3881.0731.4680.7440.5700.0620.054
30 Guatemala6.3820.7811.2680.6080.6040.1790.071
31 Uruguay6.3791.0931.4590.7710.6250.1300.155
32 Qatar6.3741.6491.3030.7480.6540.2560.171
33 Saudi Arabia6.3711.3791.3310.6330.5090.0980.127
34 Singapore6.3431.5291.4511.0080.6310.2610.457
35 Malaysia6.3221.1611.2580.6690.3560.3110.059
36 Spain6.3101.2511.5380.9650.4490.1420.074
37 Colombia6.2600.9601.4390.6350.5310.0990.039
38 Trinidad & Tobago6.1921.2231.4920.5640.5750.1710.019
39 Slovakia6.1731.2101.5370.7760.3540.1180.014
40 El Salvador6.1670.8061.2310.6390.4610.0650.082
41 Nicaragua6.1410.6681.3190.7000.5270.2080.128
42 Poland6.1231.1761.4480.7810.5460.1080.064
43 Bahrain6.1051.3381.3660.6980.5940.2430.123
44 Uzbekistan6.0960.7191.5840.6050.7240.3280.259
45 Kuwait6.0831.4741.3010.6750.5540.1670.106
46 Thailand6.0721.0161.4170.7070.6370.3640.029
47 Italy6.0001.2641.5010.9460.2810.1370.028
48 Ecuador5.9730.8891.3300.7360.5560.1140.120
49 Belize5.9560.8071.1010.4740.5930.1830.089
50 Lithuania5.9521.1971.5270.7160.3500.0260.006
51 Slovenia5.9481.2191.5060.8560.6330.1600.051
52 Romania5.9451.1161.2190.7260.5280.0880.001
53 Latvia5.9331.1481.4540.6710.3630.0920.066
54 Japan5.9151.2941.4620.9880.5530.0790.150
55 Mauritius5.8911.0901.3870.6840.5840.2450.050
56 Jamaica5.8900.8191.4930.6930.5750.0960.031
57 South Korea5.8751.2661.2040.9550.2440.1750.051
58 Northern Cyprus5.8351.2291.2110.9090.4950.1790.154
59 Russia5.8101.1511.4790.5990.3990.0650.025
60 Kazakhstan5.7901.1431.5160.6310.4540.1480.121
61 Cyprus5.7621.2291.1910.9090.4230.2020.035
62 Bolivia5.7520.7511.2230.5080.6060.1410.054
63 Estonia5.7391.2001.5320.7370.5530.0860.174
64 Paraguay5.6810.8351.5220.6150.5410.1620.074
65 Peru5.6630.9341.2490.6740.5300.0920.034
66 Kosovo5.6620.8551.2300.5780.4480.2740.023
67 Moldova5.6400.6571.3010.6200.2320.1710.000
68 Turkmenistan5.6361.0161.5330.5170.4170.1990.037
69 Hungary5.6201.1711.4010.7320.2590.0610.022
70 Libya5.5660.9851.3500.5530.4960.1160.148
71 Philippines5.5240.7751.3120.5130.6430.1200.105
72 Honduras5.5040.6201.2050.6220.4590.1970.074
73 Belarus5.4831.0391.4980.7000.3070.1010.154
74 Turkey5.4831.1481.3800.6860.3240.1060.109
75 Pakistan5.4720.6520.8100.4240.3340.2160.113
76 Hong Kong5.4301.4051.2901.0300.5240.2460.291
77 Portugal5.4101.1881.4290.8840.5620.0550.017
78 Serbia5.3980.9751.3690.6850.2880.1340.043
79 Greece5.3581.1541.2020.8790.1310.0000.044
80
Lebanon
5.3580.9651.1790.7850.5030.2140.136
81 Montenegro5.3471.0171.2790.7290.2590.1110.081
82 Croatia5.3211.1151.1610.7370.3800.1200.039
83 Dominican Republic5.3020.9821.4410.6140.5780.1200.106
84 Algeria5.2950.9791.1540.6870.0770.0550.135
85 Morocco5.2540.7790.7970.6690.4600.0260.074
86 China5.2460.9891.1420.7990.5970.0290.103
87 Azerbaijan5.2011.0241.1610.6030.4300.0310.176
88
Tajikistan
5.1990.4741.1660.5980.2920.1870.034
89 Macedonia5.1850.9591.2390.6910.3940.1730.052
90 Jordan5.1610.8221.2650.6450.4680.1300.134
91 Nigeria5.1550.6891.1720.0480.4620.2010.032
92 Kyrgyzstan5.1310.5301.4160.5940.5400.2810.035
93 Bosnia and Herzegovina5.1290.9151.0780.7580.2800.2160.000
94 Mongolia5.1250.9141.5170.5750.3950.2530.032
95 Vietnam5.1030.7151.3650.7020.6180.1770.079
96 Indonesia5.0930.8991.2150.5220.5380.4840.018
97 Bhutan5.0820.7961.3350.5270.5410.3640.171
98 Somalia4.9820.0000.7120.1150.6740.2380.282
99 Cameroon4.9750.5350.8910.1820.4540.1830.043
100 Bulgaria4.9331.0541.5150.7120.3590.0640.009
101   Nepal4.8800.4251.2280.5390.5260.3020.078
102 Venezuela4.8060.9961.4690.6570.1330.0560.052
103 Gabon4.7581.0361.1640.4040.3560.0320.052
104 Palestinian Territories4.7430.6421.2170.6020.2660.0860.076
105 South Africa4.7240.9401.4100.3300.5160.1030.056
106 Iran4.7071.0590.7710.6910.4590.2820.129
107 Ivory Coast4.6710.5410.8720.0800.4670.1460.103
108 Ghana4.6570.5920.8960.3370.4990.2120.029
109 Senegal4.6310.4291.1170.4330.4060.1380.082
110 Laos4.6230.7201.0340.4410.6260.2300.174
111 Tunisia4.5920.9000.9060.6900.2710.0400.063
112 Albania4.5860.9160.8170.7900.4190.1490.032
113 Sierra Leone4.5710.2560.8130.0000.3550.2380.053
114 Congo (Brazzaville)4.5590.6820.8110.3430.5140.0910.077
115 Bangladesh4.5000.5320.8500.5790.5800.1530.144
116 Sri Lanka4.4710.9181.3140.6720.5850.3070.050
117 Iraq4.4561.0100.9710.5360.3040.1480.095
118 Mali4.4470.3701.2330.1520.3670.1390.056
119 Namibia4.4410.8741.2810.3650.5190.0510.064
120 Cambodia4.4330.5491.0880.4570.6960.2560.065
121 Burkina Faso4.4240.3141.0970.2540.3120.1750.128
122 Egypt4.4190.8851.0250.5530.3120.0920.107
123 Mozambique4.4170.1980.9020.1730.5310.2060.158
124 Kenya4.4100.4931.0480.4540.5040.3520.055
125 Zambia4.3770.5621.0470.2950.5030.2210.082
126 Mauritania4.3560.5571.2450.2920.1290.1340.093
127 Ethiopia4.3500.3080.9500.3910.4520.2200.146
128 Georgia4.3400.8530.5920.6430.3750.0380.215
129 Armenia4.3210.8160.9900.6660.2600.0770.028
130 Myanmar4.3080.6821.1740.4290.5800.5980.178
131 Chad4.3010.3580.9070.0530.1890.1810.060
132 Congo (Kinshasa)4.2450.0691.1360.2040.3120.1970.052
133 India4.1900.7210.7470.4850.5390.1720.093
134 Niger4.1660.1310.8670.2210.3900.1750.099
135 Uganda4.1610.3221.0900.2370.4500.2590.061
136 Benin4.1410.3780.3720.2400.4400.1630.067
137 Sudan4.1390.6051.2400.3120.0160.1340.082
138 Ukraine4.1030.7931.4130.6090.1630.1870.011
139 Togo3.9990.2590.4740.2530.4340.1580.101
140 Guinea3.9640.3440.7920.2110.3940.1850.094
141 Lesotho3.8080.4721.2150.0790.4230.1160.112
142 Angola3.7950.7301.1250.2690.0000.0790.061
143 Madagascar3.7740.2620.9080.4020.2210.1550.049
144 Zimbabwe3.6920.3571.0940.2480.4060.1320.099
145 Afghanistan3.6320.3320.5370.2550.0850.1910.036
146 Botswana3.5901.0171.1740.4170.5570.0420.092
147 Malawi3.5870.1860.5410.3060.5310.2100.080
148 Haiti3.5820.3150.7140.2890.0250.3920.104
149 Liberia3.4950.0760.8580.2670.4190.2060.030
150 Syria3.4620.6890.3820.5390.0880.3760.144
151 Rwanda3.4080.3320.8960.4000.6360.2000.444
152 Yemen3.3550.4421.0730.3430.2440.0830.064
153 Tanzania3.3030.4550.9910.3810.4810.2700.097
154 South Sudan3.2540.3370.6080.1770.1120.2240.106
155 Central African Republic3.0830.0240.0000.0100.3050.2180.038
156 Burundi2.9050.0910.6270.1450.0650.1490.076

2017 report

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

Table of data for 2017:[44]

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
2 1 Denmark7.522 0.0041.4821.5510.7930.6260.3550.4012.314
3 Iceland7.504 0.0031.4811.6110.8340.6270.4760.1542.323
4 2  Switzerland7.494 0.0151.5651.5170.8580.6200.2910.3672.277
5 Finland7.469 0.0561.4441.5400.8090.6180.2450.3832.430
6 1 Netherlands7.377 0.0381.5041.4290.8110.5850.4700.2832.295
7 1 Canada7.316 0.0881.4791.4810.8350.6110.4360.2872.187
8 New Zealand7.314 0.0201.4061.5480.8170.6140.5000.3832.046
9 Australia7.284 0.0291.4841.5100.8440.6020.4780.3012.065
10 Sweden7.284 0.0071.4941.4780.8310.6130.3850.3842.098
11 Israel7.213 0.0541.3751.3760.8380.4060.3300.0852.802
12 2 Costa Rica7.079 0.0081.1101.4160.7600.5800.2150.1002.899
13 1 Austria7.006 0.1131.4871.4600.8150.5680.3160.2212.139
14 1 United States6.993 0.1111.5461.4200.7740.5060.3930.1362.218
15 4 Ireland6.977 0.0701.5361.5580.8100.5730.4280.2981.774
16 Germany6.951 0.0431.4881.4730.7990.5630.3360.2772.016
17 1 Belgium6.891 0.0381.4641.4620.8180.5400.2320.2512.124
18 2 Luxembourg6.863 0.0081.7421.4580.8450.5970.2830.3191.620
19 4 United Kingdom6.714 0.0111.4421.4960.8050.5080.4930.2651.704
20 4 Chile6.652 0.0531.2531.2840.8190.3770.3270.0822.510
21 7 United Arab Emirates6.648 0.0751.6261.2660.7270.6080.3610.3241.735
22 5 Brazil6.635 0.3171.1071.4310.6170.4370.1620.1112.769
23 4 Czech Republic6.609 0.0131.3531.4340.7540.4910.0880.0372.452
24 2 Argentina6.599 0.0511.1851.4400.6950.4950.1090.0602.614
25 4 Mexico6.578 0.2001.1531.2110.7100.4130.1210.1332.837
26 4 Singapore6.572 0.1671.6921.3540.9490.5500.3460.4641.216
27 3 Malta6.527 0.0391.3431.4880.8220.5890.5750.1531.557
28 1 Uruguay6.454 0.0911.2181.4120.7190.5790.1750.1782.172
29 10 Guatemala6.454 0.1300.8721.2560.5400.5310.2830.0772.894
30 5 Panama6.452 0.2491.2341.3730.7060.5500.2110.0712.307
31 1 France6.442 0.0361.4311.3880.8440.4700.1300.1732.006
32 1 Thailand6.424 0.0501.1281.4260.6470.5800.5720.0322.040
33 2 Taiwan6.422 0.0431.4341.3850.7940.3610.2580.0642.127
34 3 Spain6.403 0.0421.3841.5320.8890.4090.1900.0711.928
35 1 Qatar6.3751.8711.2740.7100.6040.3300.4391.145
36 5 Colombia6.357 0.1241.0711.4020.5950.4770.1490.0472.616
37 3 Saudi Arabia6.344 0.0351.5311.2870.5900.4500.1480.2732.065
38 5 Trinidad and Tobago6.1681.3611.3800.5200.5190.3250.0092.053
39 2 Kuwait6.105 0.1341.6331.2600.6320.4960.2280.2151.640
40 5 Slovakia6.098 0.0201.3251.5050.7130.2960.1370.0242.098
41 1 Bahrain6.087 0.1311.4881.3230.6530.5370.1730.2571.656
42 5 Malaysia6.084 0.0791.2911.2850.6190.4020.4170.0662.004
 Europe[Note 1]6.080N/AN/AN/AN/AN/AN/AN/AN/A
43 5 Nicaragua6.071 0.0790.7371.2870.6530.4480.3020.1312.514
44 7 Ecuador6.008 0.0321.0011.2860.6860.4550.1500.1402.290
45 1 El Salvador6.003 0.0650.9101.1820.5960.4320.0780.0902.715
46 11 Poland5.973 0.1381.2921.4460.6990.5200.1580.0591.798
47 2 Uzbekistan5.971 0.0160.7861.5490.4980.6580.4160.2471.817
48 2 Italy5.964 0.0131.3951.4450.8530.2560.1730.0281.813
49 7 Russia5.963 0.1071.2821.4690.5470.3740.0520.0332.206
50 2 Belize5.9560.9081.0810.4500.5480.2400.0972.632
51 2 Japan5.920 0.0011.4171.4360.9130.5060.1210.1641.363
52 8 Lithuania5.902 0.0891.3151.4740.6290.2340.0100.0122.228
53 15 Algeria5.872 0.4831.0921.1460.6180.2330.0690.1462.568
54 14 Latvia5.850 0.2901.2611.4050.6390.3260.1530.0741.994
55 Moldova5.838 0.0590.7291.2520.5890.2410.2090.0102.808
56 2 South Korea5.838 0.0031.4021.1280.9000.2580.2070.0631.880
57 14 Romania5.825 0.2971.2181.1500.6850.4570.1340.0042.177
58 1 Bolivia5.823 0.0010.8341.2280.4740.5590.2260.0602.443
59 6 Turkmenistan5.822 0.1641.1311.4930.4380.4180.2500.2591.833
60 6 Kazakhstan5.819 0.1001.2851.3840.6060.4370.2020.1191.785
61 1 North Cyprus5.810 0.0391.3471.1860.8350.4710.2670.1551.549
62 1 Slovenia5.758 0.0101.3411.4530.7910.5730.2430.0451.313
63 1 Peru5.715 0.0281.0351.2190.6300.4500.1270.0472.207
64 2 Mauritius5.629 0.0191.1891.2100.6380.4910.3610.0421.698
65 4 Cyprus5.621 0.0751.3561.1310.8450.3550.2710.0411.621
66 6 Estonia5.611 0.0941.3211.4770.6950.4790.0990.1831.358
67 6 Belarus5.569 0.2331.1571.4450.6380.2950.1550.1561.723
68 1 Libya5.525 0.0901.1021.3580.5200.4660.1520.0931.835
69 9 Turkey5.500 0.1111.1981.3380.6380.3010.0470.1001.879
70 Paraguay5.493 0.0450.9331.5070.5790.4740.2240.0911.685
71 4 Hong Kong5.472 0.0141.5521.2630.9430.4910.3740.2940.555
72 10 Philippines5.430 0.1510.8581.2540.4680.5850.1940.0991.973
73 13 Serbia5.395 0.2181.0691.2580.6510.2090.2200.0411.947
74 6 Jordan5.336 0.0330.9911.2390.6050.4180.1720.1201.791
75 16 Hungary5.324 0.1791.2861.3430.6880.1760.0780.0371.716
76 3 Jamaica5.311 0.1990.9261.3680.6410.4740.2340.0551.612
World5.305[Note 2]N/AN/AN/AN/AN/AN/AN/AN/A
77 3 Croatia5.293 0.1951.2230.9680.7010.2560.2480.0431.854
78 1 Kosovo5.279 0.1220.9511.1380.5410.2600.3200.0572.011
79 4 China5.273 0.0281.0811.1610.7410.4730.0290.0231.765
80 12 Pakistan5.269 0.1370.7270.6730.4020.2350.3150.1242.792
81 2 Indonesia5.262 0.0520.9961.2740.4920.4430.6120.0151.429
82 38 Venezuela5.250 0.8341.1281.4310.6170.1540.0650.0641.789
83 5 Montenegro5.237 0.0761.1211.2380.6670.1950.1980.0881.729
84 6 Morocco5.235 0.0840.8780.7750.5980.4080.0320.0882.456
85 4 Azerbaijan7.342 0.0571.1541.1520.5410.3980.0450.1811.762
86 3 Dominican Republic5.230 0.0751.0791.4020.5750.5530.1870.1141.319
87 12 Greece5.227 0.1941.2891.2390.8100.0960.0000.0431.749
88 5 Lebanon5.225 0.0961.0751.1300.7350.2890.2640.0381.695
89 5 Portugal5.195 0.0721.3151.3670.7960.4980.0950.0161.108
90 3 Bosnia and Herzegovina5.182 0.0190.9821.0690.7050.2040.3290.0001.892
91 13 Honduras5.181 0.3100.7311.1440.5830.3480.2360.0732.066
92 3 Macedonia5.175 0.0541.0651.2080.6450.3260.2540.0601.617
93 17 Somalia5.151 0.2890.0230.7210.1140.6020.2920.2823.117
94 2 Vietnam5.074 0.0130.7891.2770.6520.5710.2350.0881.462
95 8 Nigeria5.074 0.1990.7841.2160.0570.3950.2310.0262.365
96 4 Tajikistan5.041 0.0450.5251.2710.5290.4720.2490.1461.849
97 13 Bhutan5.011 0.1850.8851.3400.4960.5020.4740.1731.140
98 13 Kyrgyzstan5.004 0.1810.5961.3940.5530.4550.4290.0391.537
99 8   Nepal4.962 0.1690.4801.1790.5040.4400.3940.0731.891
100 1 Mongolia4.955 0.0481.0271.4930.5580.3940.3380.0331.111
101 15 South Africa4.829 0.3701.0551.3850.1870.4790.1390.0731.511
102 4 Tunisia4.805 0.2401.0070.8680.6130.2900.0500.0871.890
103 5 Palestinian Territories4.775 0.0210.7161.1560.5660.2550.1140.0891.879
104 16 Egypt4.735 0.3730.9900.9970.5200.2820.1290.1141.702
105 24 Bulgaria4.714 0.4971.1611.4340.7080.2890.1130.0110.996
106 5 Sierra Leone4.709 0.0740.3680.9840.0060.3190.2930.0712.668
107 7 Cameroon4.695 0.1820.5640.9460.1330.4300.2360.0512.334
108 3 Iran4.692 0.1211.1570.7120.6390.2490.3870.0491.499
109 Albania4.644 0.0110.9960.8040.7310.3810.2010.0401.490
110 Bangladesh4.608 0.0350.5870.7350.5330.4780.1720.1241.979
111 2 Namibia4.5740.9641.0980.3390.5200.0770.0931.482
112 10 Kenya4.553 0.1970.5601.0680.3100.4530.4450.0651.652
113N/A Mozambique4.550N/A0.2340.8710.1070.4810.3220.1792.356
114 5 Myanmar4.545 0.1500.3671.1230.3980.5140.8380.1891.115
115 13 Senegal4.535 0.3160.4791.1800.4090.3780.1830.1151.790
116 10 Zambia4.514 0.2810.6361.0030.2580.4620.2500.0781.827
117 5 Iraq4.497 0.0781.1030.9790.5010.2890.2000.1071.319
118 16 Gabon4.465 0.3441.1981.1560.3570.3120.0440.0761.323
119 4 Ethiopia4.460 0.0480.3390.8650.3530.4090.3130.1652.016
120 3 Sri Lanka4.440 0.0251.0101.2600.6250.5610.4910.0740.419
121 Armenia4.376 0.0160.9011.0070.6380.1980.0830.0271.521
122 4 India4.315 0.0890.7920.7540.4550.4700.2320.0921.519
123 7 Mauritania4.292 0.0910.6481.2720.2850.0960.2020.1371.652
124 1 Congo (Brazzaville)4.291 0.0190.8090.8320.2900.4350.1210.0801.724
125 1 Georgia4.286 0.0340.9510.5710.6500.3090.0540.2521.500
126 1 Congo (Kinshasa)4.280 0.0440.0921.2290.1910.2360.2460.0602.225
127 8 Mali4.190 0.1170.4761.2810.1690.3070.1830.1051.668
128 11 Ivory Coast4.180 0.2640.6030.9050.0490.4480.2010.1301.845
129 11 Cambodia4.168 0.2610.6021.0060.4300.6330.3860.0681.043
130 3 Sudan4.1390.6601.2140.2910.0150.1820.0901.687
131 7 Ghana4.120 0.1560.6670.8740.2960.4230.2570.0251.578
132 9 Ukraine4.096 0.2280.8951.3950.5760.1230.2700.0230.814
133 13 Uganda4.081 0.3420.3811.1300.2180.4430.3260.0571.526
134 11 Burkina Faso4.032 0.2930.3501.0430.2160.3240.2510.1201.727
135 7 Niger4.028 0.1720.1620.9930.2690.3640.2290.1391.874
136 4 Malawi3.970 0.1860.2330.5130.3150.4670.2870.0732.082
137 7 Chad3.936 0.1730.4380.9540.0410.1620.2160.0542.071
138 7 Zimbabwe3.875 0.3180.3761.0830.1970.3360.1890.0951.598
139N/A Lesotho3.808N/A0.5211.1900.0000.3910.1570.1191.430
140 1 Angola3.795 0.0710.8581.1040.0500.0000.0980.0701.614
141 13 Afghanistan3.794 0.4340.4010.5820.1810.1060.3120.0612.151
142 5 Botswana3.766 0.2081.1221.2220.3420.5050.0990.0990.378
143 10 Benin3.657 0.1730.4310.4350.2100.4260.2080.0611.886
144 4 Madagascar3.644 0.0510.3060.9130.3750.1890.2090.0671.585
145 9 Haiti3.603 0.4250.3690.6400.2770.0300.4890.1001.697
146 1 Yemen3.593 0.1310.5920.9350.3100.2490.1040.0571.346
147 4 South Sudan3.591 0.2410.3970.6010.1630.1470.2860.1171.880
148 2 Liberia3.533 0.0890.1190.8720.2300.3330.2670.0391.673
149 2 Guinea3.507 0.1000.2450.7910.1940.3490.2650.1111.552
150 5 Togo3.495 0.1920.3050.4320.2470.3800.1970.0961.837
151 1 Rwanda3.471 0.0440.3690.9460.3260.5820.2530.4550.540
152 4 Syria3.462 0.3930.7770.3960.5010.0820.4940.1511.062
153 4 Tanzania3.349 0.3170.5111.0420.3650.3900.3540.0660.621
154 3 Burundi2.9050.0920.6300.1520.0600.2040.0841.683
155N/A Central African Republic2.693N/A0.0000.0000.0190.2710.2810.0572.066

2016 report

Table

Legend:[45]

  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[46]

Italics: States with limited recognition and disputed territories

Overall Rank
[47][48]
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 3] 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  North 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 4] 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 0.000
126  Georgia 4.252 0.561
127  Democratic Republic of the Congo 4.236 0.000
128  Senegal 4.219 -0.328
129  Bulgaria 4.217 0.373
130  Mauritania 4.201 0.052
131  Zimbabwe 4.193 0.639
132  Malawi 4.156 -0.205
133  Sudan 4.139 0.000
134  Gabon 4.121 0.000
135  Mali 4.073 0.059
136  Haiti 4.028 0.274
137  Botswana 3.974 -0.765
138  Comoros 3.956 0.000
139  Ivory Coast 3.916 0.000
140  Cambodia 3.907 0.045
141  Angola 3.866 0.000
142  Niger 3.856 -0.144
143  South Sudan 3.832 0.000
144  Chad 3.763 -0.025
145  Burkina Faso 3.739 -0.170
146  Uganda 3.739 -0.356
147  Yemen 3.724 -0.754
148  Madagascar 3.695 -0.285
149  Tanzania 3.666 -0.460
150  Liberia 3.622 -0.080
151  Guinea 3.607 0.000
152  Rwanda 3.515 -0.700
153  Benin 3.484 0.154
154  Afghanistan 3.360 0.000
155  Togo 3.303 0.100
156  Syria 3.069 0.000
157  Burundi 2.905 0.000

Criticism

Metrics

Critics have pointed out the difference between evaluations and experiences of wellbeing.[49] [50] For instance Colombia came 37th in the 2018 World Happiness Report rankings but first by daily emotional experience in Gallup's Positive Experience Index.[51] The inconsistencies in the results of different happiness measurement surveys have also been noted, for instance, a Pew survey of 43 countries in 2014 (which excluded most of Europe) had Mexico, Israel and Venezuela finishing first, second and third.[52] Others point out that the variables of interest used by the World Happiness Report are more appropriate for measuring national-level rather than individual-level happiness.[53]

Methodology

The World Happiness Report's use of a single item indicator measure of subjective well-being is fundamentally different from more traditional Index approaches which use a range of indicators such as the United Nation's Human Development Index, the OECD Better Life Index of 2011, or the Social Progress Index of 2013. There has also been an on-going debate regarding single-item and multi-item scales as measures of life satisfaction.[54]

The idea that subjective well-being can be captured by a survey has also been contested by economists, who have, identified that people’s assessments of their happiness can be affected by the way in which, for example, their country’s education system grades exams, and that survey questions on subjective wellbeing are affected by response styles. [55]

See also

Notes

  1. Score not included in the original report, but was attained by adding up Europe's scores and then dividing for an average: 6.08044.
  2. Score not included in the original report, but was attained by adding up all the scores and then dividing for an average: 5.3053935483871.
  3. Kosovo is the subject of a territorial dispute between the Republic of Kosovo and the Republic of Serbia. The Republic of Kosovo unilaterally declared independence on 17 February 2008. Serbia continues to claim it as part of its own sovereign territory. The two governments began to normalise relations in 2013, as part of the 2013 Brussels Agreement. Kosovo is currently recognized as an independent state by 98 out of the 193 United Nations member states. In total, 113 UN member states recognized Kosovo at some point, of which 15 later withdrew their recognition.
  4. See the following on statehood criteria:

References

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