World Happiness Report#2019 World Happiness Report

In July 2011, the UN General Assembly adopted resolution 65/309 Happiness: Towards a Holistic Definition of Development,{{Cite web|url=http://repository.un.org/handle/11176/291712|title=Happiness : towards a holistic approach to development : resolution / adopted by the General Assembly|website=UN DAG Repository|access-date=2017-10-17|archive-date=2018-10-23|archive-url=https://web.archive.org/web/20181023014942/http://repository.un.org/handle/11176/291712|url-status=dead}} inviting member countries to measure the happiness of their people and to use the data to help guide public policy.

The first World Happiness Report was released on 1 April 2012, as a foundational text for the UN High Level Meeting: Well-being and Happiness: Defining a New Economic Paradigm,{{Cite web |title=Defining a New Economic Paradigm: The Report of the High-Level Meeting on Wellbeing and Happiness |url=https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=617&menu=35 |website=Sustainable Development Knowledge Platform}} drawing international attention.{{cite journal |author=Helliwell |first1=John |last2=Layard |first2=Richard |last3=Sachs |first3=Jeffrey |date=April 2, 2012 |title=World Happiness Report |url=http://www.earth.columbia.edu/sitefiles/file/Sachs%20Writing/2012/World%20Happiness%20Report.pdf |publisher=Columbia University Earth Institute |access-date=2014-06-29}} On 2 April 2012, this was followed by the first UN High Level Meeting called Wellbeing and Happiness: Defining a New Economic Paradigm,{{Cite web|url=https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=617&menu=35|title=Defining a New Economic Paradigm: The Report of the High-Level Meeting on Wellbeing and Happiness|website=UN Sustainable Development Knowledge Platform}} which was chaired by UN Secretary General Ban Ki-moon, in addition to that prime minister Jigme Thinley of Bhutan, a nation that adopted gross national happiness instead of gross domestic product as their main development indicator.{{cite web |title = GNH Survey 2010 |url = http://www.grossnationalhappiness.com/docs/2010_Results/PDF/National.pdf |publisher = The Centre for Bhutan Studies |access-date = 17 October 2013 |archive-date = 18 March 2013 |archive-url = https://web.archive.org/web/20130318035825/http://www.grossnationalhappiness.com/docs/2010_Results/PDF/National.pdf |url-status = dead }}

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 20 March, to coincide with the UN's International Day of Happiness.{{cite web|url=http://unsdsn.org/resources/publications/world-happiness-report-2013/ |title=Sustainable Development Solutions Network | World Happiness Report 2013 |author=Kyu Lee |publisher=unsdsn.org |date=2013-09-09 |access-date=2014-04-25}}

The rankings of national happiness are based on a happiness measurement survey undertaken world-wide by the polling company Gallup, Inc. 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.{{cite web|url=http://worldhappiness.report/|title=FAQ|website=worldhappiness.report}} The report correlates the life evaluation results with various life factors.

Researchers use the reports' life factor variables to explain national-level differences in life evaluation. However, some variables, such as unemployment or inequality, are not considered. That is because comparable data is not yet available across all countries. The reports' variables only show correlation, not causation (see Correlation does not imply causation).

The report measures subjective well-being using the "Cantril ladder" to reflect people’s own views, rather than external judgments. The goal is to free respondents to evaluate their own well-being.{{cite web|url=https://worldhappiness.report/ed/2020/cities-and-happiness-a-global-ranking-and-analysis/ |title=Cities and Happiness: A Global Ranking and Analysis |date=March 20, 2020}}{{Cite web|url=https://news.gallup.com/poll/122453/understanding-gallup-uses-cantril-scale.aspx| title= Understanding How Gallup Uses the Cantril Scale| date= 24 August 2009}}

The report shows how experts use well-being ratings to assess national progress. The experts are from fields including economics, psychology, survey analysis, and national statistics. Each report is organized by chapters that focus on issues relating to happiness. This includes mental illness, the objective benefits of happiness, the importance of ethics, policy implications, and links with the Organization for Economic Co-operation and Development's (OECD) approach to measuring subjective well-being and other international and national efforts.

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From 2021, the World Happiness Report has suppported using WELLBYs (Well-Being-Adjusted Life-Years). It says that QALYs (Quality-Adjusted Life Years) only count a patient's health quality. Instead, WELLBYs should be used. The report says policy-makers should aim to increase the WELLBYs of people alive today and future generations.{{Cite web|url=https://worldhappiness.report/ed/2021/overview-life-under-covid-19/|title = Overview: Life under COVID-19}}{{Cite web|url=https://worldhappiness.report/ed/2021/living-long-and-living-well-the-wellby-approach/|title = Living long and living well: The WELLBY approach}}{{Cite web|url=https://blogs.lse.ac.uk/businessreview/2021/03/19/world-happiness-report-living-long-and-living-well/|title = World Happiness Report: Living long and living well|date = 19 March 2021}}

Country rankings for the young and the old are quite different, and systematically so, underscoring the fact that convergence between the two halves of Europe has been driven mainly by the rising happiness of the young. Countries ranking highest for the old are generally countries with high overall rankings, but include several where the young have recently fared very poorly.{{Cite web |title=Happiness of the younger, the older, and those in between |url=https://worldhappiness.report/ed/2024/happiness-of-the-younger-the-older-and-those-in-between/ |access-date=2024-05-06 |website=worldhappiness.report |language=en}}

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class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region ! style="width: 20px;" | Life evaluation
1	{{flag|Lithuania}}	7.795
2	{{flag|Israel}}	7.667
3	{{flag|Iceland}}	7.658
4	{{flag|Serbia}}	7.658
5	{{flag|Denmark}}	7.598
6	{{flag|Luxembourg}}	7.301
7	{{flag|Finland}}	7.319
8	{{flag|Romania}}	7.302
9	{{flag|Netherlands}}	7.122
10	{{flag|Czech Republic}}	7.060
11	{{flag|Costa Rica}}	7.057
12	{{flag|Austria}}	7.029
14	{{flag|Switzerland}}	6.955
15	{{flag|Croatia}}	6.951
16	{{flag|Slovenia}}	6.905
17	{{flag|Kuwait}}	6.900
18	{{flag|El Salvador}}	6.894
19	{{flag|Sweden}}	6.838
20	{{flag|Australia}}	6.822
21	{{flag|Norway}}	6.818
22	{{flag|Ireland}}	6.749
23	{{flag|Mexico}}	6.743
24	{{flag|Kosovo}}	6.733
25	{{flag|Belgium}}	6.725
26	{{flag|Taiwan}}	6.719
27	{{flag|Panama}}	6.678
28	{{flag|New Zealand}}	6.611
29	{{flag|Nicaragua}}	6.609
30	{{flag|Moldova}}	6.594
31	{{flag|Uruguay}}	6.561
32	{{flag|Latvia}}	6.523
33	{{flag|United Kingdom}}	6.503
34	{{flag|Bosnia and Herzegovina}}	6.491
35	{{flag|Argentina}}	6.469
36	{{flag|United Arab Emirates}}	6.448
37	{{flag|Hungary}}	6.442
38	{{flag|Paraguay}}	6.421
39	{{flag|Slovakia}}	6.411
40	{{flag|Chile}}	6.360
41	{{flag|Bulgaria}}	6.358
42	{{flag|Italy}}	6.346
43	{{flag|Saudi Arabia}}	6.324
44	{{flag|Poland}}	6.287
45	{{flag|Estonia}}	6.284
46	{{flag|Thailand}}	6.272
47	{{flag|Portugal}}	6.257
48	{{flag|Germany}}	6.234
49	{{flag|France}}	6.195
50	{{flag|Guatemala}}	6.188
51	{{flag|Montenegro}}	6.188
52	{{flag|Cyprus}}	6.068
53	{{flag|South Korea}}	6.060
54	{{flag|Greece}}	6.058
55	{{flag|Singapore}}	6.048
56	{{flag|Spain}}	6.043
57	{{flag|Honduras}}	6.030
58	{{flag|Malta}}	6.017
59	{{flag|Canada}}	5.977
60	{{flag|Ecuador}}	5.976
61	{{flag|Brazil}}	5.975
62	{{flag|Dominican Republic}}	5.973
63	{{flag|United States}}	5.968
64	{{flag|Peru}}	5.959
65	{{flag|Malaysia}}	5.942
66	{{flag|Vietnam}}	5.934
67	{{flag|Albania}}	5.877
68	{{flag|North Macedonia}}	5.866
69	{{flag|Russia}}	5.842
70	{{flag|Kazakhstan}}	5.841
71	{{flag|Philippines}}	5.823
72	{{flag|Uzbekistan}}	5.816
73	{{flag|Armenia}}	5.816
74	{{flag|Japan}}	5.785
75	{{flag|Bolivia}}	5.784
76	{{flag|Indonesia}}	5.725
77	{{flag|Colombia}}	5.714
78	{{flag|Bahrain}}	5.707
79	{{flag|Georgia}}	5.696
80	{{flag|China}}	5.695
81	{{flag|Libya}}	5.607
82	{{flag|Kyrgyzstan}}	5.568
83	{{flag|Ukraine}}	5.463
84	{{flag|Venezuela}}	5.455
85	{{flag|Jamaica}}	5.422
86	{{flag|Mauritius}}	5.369
87	{{flag|Mongolia}}	5.364
88	{{flag|South Africa}}	5.316
89	{{flag|Congo}}	5.304
90	{{flag|Tajikistan}}	5.281
91	{{flag|Congo (Brazzaville)}}	5.221
92	{{flag|Iraq}}	5.216
93	{{flag|Gabon}}	5.185
94	{{flag|Nepal}}	5.166
95	{{flag|Algeria}}	5.158
96	{{flag|Laos}}	5.139
97	{{flag|Gabon}}	5.106
98	{{flag|Mozambique}}	5.080
99	{{flag|Azerbaijan}}	5.023
100	{{flag|Iran}}	4.975
101	{{flag|Hong Kong}}	4.969
102	{{flag|Morocco}}	4.923
103	{{flag|Senegal}}	4.893
104	{{flag|Ivory Coast}}	4.881
105	{{flag|Turkey}}	4.879
106	{{flag|Palestine}}	4.874
107	{{flag|Guinea}}	4.873
108	{{flag|Laos}}	4.832
109	{{flag|Namibia}}	4.795
110	{{flag|Cameroon}}	4.657
111	{{flag|Pakistan}}	4.556
112	{{flag|Nigeria}}	4.548
113	{{flag|Kenya}}	4.505
114	{{flag|Gambia}}	4.485
115	{{flag|Uganda}}	4.471
116	{{flag|Cambodia}}	4.470
117	{{flag|Liberia}}	4.422
118	{{flag|Jordan}}	4.377
119	{{flag|Benin}}	4.372
120	{{flag|Niger}}	4.354
121	{{flag|Burkina Faso}}	4.341
122	{{flag|Tunisia}}	4.289
123	{{flag|Mauritania}}	4.269
124	{{flag|Chad}}	4.232
125	{{flag|Myanmar}}	4.228
126	{{flag|Sri Lanka}}	4.214
127	{{flag|Madagascar}}	4.186
128	{{flag|Mali}}	4.054
129	{{flag|Togo}}	3.977
130	{{flag|India}}	3.898
131	{{flag|Bangladesh}}	3.886
132	{{flag|Tanzania}}	3.861
133	{{flag|Egypt}}	3.781
134	{{flag|Ethiopia}}	3.566
135	{{flag|Comoros}}	3.561
136	{{flag|Botswana}}	3.502
137	{{flag|Yemen}}	3.502
138	{{flag|Zambia}}	3.421
139	{{flag|Malawi}}	3.383
140	{{flag|Lesotho}}	3.341
141	{{flag|Zimbabwe}}	3.295
142	{{flag|Congo}}	3.245
143	{{flag|Sierra Leone}}	3.186
144	{{flag|Lebanon}}	2.707
145	{{flag|Afghanistan}}	1.721

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{{Update section|reason=The 2025 report is missing|date=March 2025}}

The World Happiness Report has been published every year since 2012 (except for 2014).

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,{{Cite web|url=http://www.gallup.com/178667/gallup-world-poll-work.aspx|title=Methodology - How Does the Gallup World Poll Work?|website=www.gallup.com|date=14 October 2014}} as well as other sources such as the World Values Survey, in some of the reports. The Gallup World Poll questionnaire{{Cite web|url=https://media.gallup.com/dataviz/www/WP_Questions_WHITE.pdf|title=Oops! Could not be found or an error occurred|website=media.gallup.com}} 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.

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The 2024 World Happiness Report focused on happiness at different stages of life. Chapter 3 presents global data on child and adolescent wellbeing, whereas Chapters 4 and 5 focus on older age, covering the links between wellbeing and dementia and a deep dive into the well being of older people in India.{{Cite web |title=World Happiness Report 2024 |url=https://worldhappiness.report/ }}

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The 2023 World Happiness Report was a triannual analysis of 2020–2022, heavily influenced by COVID-19 and other significant challenges.{{Cite web |title=World Happiness, Trust and Social Connections in Times of Crisis |url=https://worldhappiness.report/ed/2023/world-happiness-trust-and-social-connections-in-times-of-crisis/#ranking-of-happiness-2020-2022 }}

For the sixth consecutive year, Finland was ranked on top, followed by Denmark, Iceland, Israel and the Netherlands. In the top-10 rankings, Israel jumped five places, while Switzerland fell four places. Lithuania was the only new country in the top-20.{{cite web |title=Happiest Countries Prove Resilient Despite Overlapping Crises |url=https://worldhappiness.report/news/happiest-countries-prove-resilient-despite-overlapping-crises/ |website=worldhappiness.report |date=20 March 2023 |access-date=23 April 2023 |archive-url=https://web.archive.org/web/20230422170243/https://worldhappiness.report/news/happiest-countries-prove-resilient-despite-overlapping-crises/ |archive-date=22 April 2023 |language=en}}

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The 2022 World Happiness Report included a section looking at possible genetic effects on individual happiness.{{Cite web |last= |title=Exploring the biological basis for happiness |url= |website=}}

Finland is in the top position in the world happiness report in 2022. Followed by Denmark and Iceland in second and third place. Switzerland, Netherlands, Luxembourg, Sweden, Norway, Israel and New Zealand, were among the top 10 'happiest' countries in the world [https://worldhappiness.report/ed/2022/happiness-benevolence-and-trust-during-covid-19-and-beyond/#ranking-of-happiness-2019-2021 Happiness, Benevolence, and Trust During COVID-19 and Beyond].

Among 146 countries ranked by the report, Afghanistan scores the lowest point of 2.523 and was ranked as the least 'happy' country in the world in 2022.

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The 2021 World Happiness Report, released on March 20, 2021, 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.{{Cite web|url=https://worldhappiness.report/ed/2021/|title=World Happiness Report 2021|website=worldhappiness.report|date=20 March 2021 |access-date=2021-12-03}}

Finland holds the rank of the happiest country in the world for the fourth consecutive year.{{Cite news|url=https://worldhappiness.report/news/in-a-lamentable-year-finland-again-is-the-happiest-country-in-the-world/|title=In a Lamentable Year, Finland Again is the Happiest Country in the World|website=worldhappiness.report|access-date=2022-03-02}} It is followed by Denmark, Switzerland, Iceland and Netherlands. Afghanistan received the lowest score, with South Sudan and Rwanda just above it. In addition to country rankings, this is the second 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.

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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.{{Cite web|url=https://worldhappiness.report/ed/2020/|title=World Happiness Report 2020|website=worldhappiness.report|date=20 March 2020 |access-date=2020-12-03}}

Finland holds the rank of the happiest country in the world for the third consecutive year.{{Cite news|url=https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/|title=It's a Three-Peat, Finland Keeps Top Spot as Happiest Country in the World|website=worldhappiness.report|access-date=2020-12-03}} It is followed by Denmark, Switzerland, Iceland and Norway. Afghanistan received the lowest score, with South Sudan and Zimbabwe just above it.{{Cite news|url=https://www.nytimes.com/2020/03/20/world/europe/world-happiness-report.html|title=Smile? The Results from the 2020 World Happiness Report are in|work=The New York Times |date=20 March 2020 |access-date=2020-12-03|last1=Cramer |first1=Maria }} 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 F. 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 recognized as production editor. From 2020, Gallup became a full data partner.

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The 2019 World Happiness Report focuses community. According to the 2019 Happiness Report, Finland is the happiest country in the world,{{Cite news|url=https://edition.cnn.com/travel/article/worlds-happiest-countries-united-nations-2018/index.html|title=This is the world's happiest country|date=2018-03-14|work=CNN Travel|access-date=2018-03-14|language=en}} 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.

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

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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.

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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,{{Cite web|url=http://www.actionforhappiness.org/why-happiness|title=Why Happiness?|website=Action for Happiness}} 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,{{Cite web|url=http://www.econ.cam.ac.uk/people-0/affil/lc242|title=Faculty of Economics - Dr Luisa Corrado|website=University of Cambridge}} 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.{{Cite web|url=https://www.researchgate.net/profile/Luca_Stanca|title=Luca Stanca University of Milan, Milano · Department of Economics, Management and Quantitative Methods DEMM|website=Research Gate}} 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{{Cite web|url=https://search.usi.ch/en/people/e2c4746695aad76b5bc9d0418026b655/crivelli-luca|title=Luca Crivelli - Biography|website=Università della Svizzera italiana}} 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).

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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{{Cite web|url=http://repository.un.org/handle/11176/291712|title=Happiness : towards a holistic approach to development : resolution / adopted by the General Assembly|access-date=2017-10-17|archive-date=2018-10-23|archive-url=https://web.archive.org/web/20181023014942/http://repository.un.org/handle/11176/291712|url-status=dead}} and April 2012 UN High Level Meeting: Well-being and Happiness: Defining a New Economic Paradigm,{{Cite web|url=https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=617&menu=35|title=Defining a New Economic Paradigm: The Report of the High-Level Meeting on Wellbeing and Happiness .:. Sustainable Development Knowledge Platform|website=sustainabledevelopment.un.org}} Bhutan's Gross National Happiness{{Cite web|url=http://www.grossnationalhappiness.com/|title=2015 GNH Survey Report|website=Center for Bhutan Studies}} 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.{{Cite web|url=http://www.nuffieldfoundation.org/dr-ann-hagell|title=Dr. Ann Hagell|website=Nuffield Foundation}} 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,{{Cite web|url=http://economia.uniroma2.it/faculty/148/becchetti-leonardo|title=Leonardo Becchetti, Professore Ordinario|website=University of Rome "Tor Vergata"}} 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).

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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,{{Cite web|url=http://www.oecd.org/statistics/oecd-guidelines-on-measuring-subjective-well-being-9789264191655-en.htm|title=OECD Guidelines on Measuring Subjective Well-being|date=March 20, 2013}} 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.{{Cite web|url=https://hdr.undp.org/about/hdro-team|title=HDRO Team|first=United|last=Nations|via=hdr.undp.org}} 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.

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The 2012 World Happiness Report was issued at the UN High Level Meeting Well-being and Happiness: Defining a New Economic Paradigm{{Cite web|url=https://sustainabledevelopment.un.org/index.php?page=view&type=400&nr=617&menu=35|title=Defining a New Economic Paradigm: The Report of the High-Level Meeting on Wellbeing and Happiness|date=2012}} 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,{{Cite web|url=http://voxeu.org/users/shunwang0|title=Shun Wang -Assistant Professor at the School of Public Policy and Management, Korea Development Institute|website=voxeu.org/}} 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.{{Cite web|url=https://www.worldvaluessurvey.org/wvs.jsp|title=WVS Database|website=www.worldvaluessurvey.org}}

Chapter 3, The Causes of Happiness and Misery is written by Richard Layard, Andrew Clark,{{Cite web|url=http://cep.lse.ac.uk/_new/staff/person.asp?id=2458|title=Staff Biography Dr. Andrew Clark|website=Center for Economic Performance}} and Claudia Senik,{{Cite web|url=https://www.parisschoolofeconomics.eu/en/senik-claudia/|title=Claudia Senik|website=Economics Serving Society|date=16 May 2024 }} 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,{{Cite web|url=http://www.rigss.bt/faculty-members/karma-ura/|title=Karma Ura|website=Royal Institute for Governance and Strategic Studies|archive-url=https://web.archive.org/web/20170118171545/http://www.rigss.bt/faculty-members/karma-ura/|archive-date=2017-01-18|url-status=dead}} Sabine Alkire,{{Cite web|url=http://www.ophi.org.uk/about/people/current-people/sabina-alkire/|title=Sabina Alkire|website=Oxford Poverty & Human Development Initiative}} 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{{Cite web|url=https://www.ons.gov.uk/peoplepopulationandcommunity/wellbeing|title=Well-being|website=Office for National Statistics}} in the UK's Office of National Statistics{{Cite web|url=https://www.ons.gov.uk/|title=Home - Office for National Statistics|website=www.ons.gov.uk}} (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,{{Cite web|url=http://www.oecd.org/statistics/oecd-guidelines-on-measuring-subjective-well-being-9789264191655-en.htm|title=OECD Guidelines on Measuring Subjective Well-being|last=OECD|date=20 March 2013 }} which it issued in 2013.

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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 effect on the total score reported for each country.{{Cite web|url=http://worldhappiness.report/|title=FAQ|website=worldhappiness.report}}

The 2025 report features the happiness score averaged over the years 2022–2024.{{citation |pages=17–19 |title=Figure 2.1: Country Rankings by Life Evaluations |work= World Happiness Report 2025 |date=2025 |access-date=23 March 2025 |url=https://happiness-report.s3.us-east-1.amazonaws.com/2025/WHR+25.pdf |isbn=978-1-7348080-8-7}}

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class="wikitable sortable"
valign="top" ! Overall rank ! style="width: 200px;" | Country or region ! Score ! Log GDP per capita ! Social support ! Healthy life expectancy ! Freedom to make life choices ! Generosity ! Perceptions of corruption ! Dystopia + residual
1	{{flag|Finland}}	7.736	1.749	1.783	0.824	0.986	0.110	0.502	1.782
2	{{flag|Denmark}}	7.521	1.825	1.748	0.820	0.955	0.150	0.488	1.535
3	{{flag|Iceland}}	7.515	1.799	1.840	0.873	0.971	0.201	0.173	1.659
4	{{flag|Sweden}}	7.345	1.783	1.698	0.889	0.952	0.170	0.467	1.385
5	{{flag|Netherlands}}	7.306	1.822	1.667	0.844	0.860	0.186	0.344	1.583
6	{{flag|Costa Rica}}	7.274	1.492	1.600	0.680	0.948	0.067	0.118	2.369
7	{{flag|Norway}}	7.262	1.902	1.711	0.863	0.962	0.168	0.425	1.231
8	{{flag|Israel}}	7.234	1.695	1.743	0.824	0.740	0.144	0.193	1.895
9	{{flag|Luxembourg}}	7.122	2.028	1.558	0.864	0.931	0.117	0.397	1.227
10	{{flag|Mexico}}	6.979	1.435	1.504	0.550	0.879	0.057	0.118	2.438
11	{{flag|Australia}}	6.974	1.767	1.647	0.841	0.857	0.164	0.285	1.413
12	{{flag|New Zealand}}	6.952	1.698	1.712	0.815	0.861	0.167	0.429	1.270
13	{{flag|Switzerland}}	6.935	1.870	1.622	0.883	0.889	0.156	0.468	1.047
14	{{flag|Belgium}}	6.910	1.783	1.646	0.852	0.895	0.119	0.306	1.309
15	{{flag|Ireland}}	6.889	1.988	1.659	0.823	0.906	0.179	0.382	0.952
16	{{flag|Lithuania}}	6.829	1.684	1.699	0.592	0.702	0.031	0.123	1.998
17	{{flag|Austria}}	6.810	1.791	1.592	0.814	0.856	0.179	0.280	1.297
18	{{flag|Canada}}	6.803	1.749	1.647	0.832	0.813	0.168	0.323	1.271
19	{{flag|Slovenia}}	6.792	1.692	1.718	0.802	0.961	0.121	0.113	1.384
20	{{flag|Czechia}}	6.775	1.692	1.716	0.658	0.916	0.118	0.084	1.591
21	{{flag|United Arab Emirates}}	6.759	1.812	1.294	0.659	0.934	0.165	0.235	1.660
22	{{flag|Germany}}	6.753	1.785	1.625	0.776	0.858	0.148	0.351	1.210
23	{{flag|United Kingdom}}	6.728	1.725	1.562	0.779	0.872	0.211	0.318	1.260
24	{{flag|United States}}	6.724	1.839	1.614	0.604	0.644	0.171	0.161	1.690
25	{{flag|Belize}}	6.711	1.256	1.540	0.525	1.018	0.072	0.082	2.218
26	{{flag|Poland}}	6.673	1.666	1.595	0.630	0.790	0.021	0.169	1.802
27	{{flag|Taiwan}}	6.669	1.730	1.583	0.817	0.760	0.057	0.187	1.534
28	{{flag|Uruguay}}	6.661	1.554	1.654	0.523	0.913	0.078	0.197	1.741
29	{{flag|Kosovo}}	6.659	1.281	1.454	0.896	0.893	0.201	0.087	1.847
30	{{flag|Kuwait}}	6.629	1.691	1.481	0.766	0.934	0.143	0.167	1.448
31	{{flag|Serbia}}	6.606	1.489	1.620	0.545	0.767	0.131	0.107	1.946
32	{{flag|Saudi Arabia}}	6.600	1.743	1.566	0.714	0.915	0.105	0.187	1.370
33	{{flag|France}}	6.593	1.733	1.535	0.832	0.743	0.099	0.264	1.386
34	{{flag|Singapore}}	6.565	2.022	1.565	0.935	0.856	0.164	0.522	0.501
35	{{flag|Romania}}	6.563	1.636	1.401	0.561	0.847	0.028	0.015	2.075
36	{{flag|Brazil}}	6.494	1.391	1.519	0.480	0.830	0.089	0.127	2.057
37	{{flag|El Salvador}}	6.492	1.222	1.228	0.559	0.955	0.054	0.264	2.211
38	{{flag|Spain}}	6.466	1.690	1.685	0.894	0.734	0.112	0.180	1.170
39	{{flag|Estonia}}	6.417	1.650	1.716	0.642	0.902	0.128	0.378	1.001
40	{{flag|Italy}}	6.415	1.724	1.526	0.852	0.641	0.082	0.071	1.517
41	{{flag|Panama}}	6.407	1.594	1.600	0.717	0.876	0.041	0.042	1.537
42	{{flag|Argentina}}	6.397	1.504	1.622	0.579	0.824	0.048	0.083	1.736
43	{{flag|Kazakhstan}}	6.378	1.586	1.688	0.504	0.878	0.111	0.118	1.492
44	{{flag|Guatemala}}	6.362	1.249	1.330	0.376	0.882	0.075	0.085	2.365
45	{{flag|Chile}}	6.361	1.537	1.577	0.711	0.779	0.093	0.085	1.579
46	{{flag|Vietnam}}	6.352	1.278	1.533	0.631	1.012	0.039	0.174	1.684
47	{{flag|Nicaragua}}	6.330	1.084	1.470	0.646	0.912	0.103	0.271	1.844
48	{{flag|Malta}}	6.316	1.760	1.671	0.837	0.837	0.217	0.115	0.879
49	{{flag|Thailand}}	6.222	1.426	1.551	0.633	0.927	0.223	0.039	1.423
50	{{flag|Slovakia}}	6.221	1.629	1.762	0.547	0.704	0.058	0.070	1.451
51	{{flag|Latvia}}	6.207	1.619	1.711	0.503	0.789	0.108	0.082	1.396
52	{{flag|Oman}}	6.197	1.603	1.411	0.500	0.930	0.142
53	{{flag|Uzbekistan}}	6.193	1.179	1.615	0.654	0.977	0.195	0.208	1.364
54	{{flag|Paraguay}}	6.172	1.329	1.615	0.291	0.921	0.097	0.063	1.857
55	{{flag|Japan}}	6.147	1.678	1.550	0.921	0.746	0.014	0.200	1.038
56	{{flag|Bosnia and Herzegovina}}	6.136	1.405	1.545	0.616	0.749	0.178	0.009	1.635
57	{{flag|Philippines}}	6.107	1.177	1.385	0.315	0.966	0.075	0.110	2.079
58	{{flag|Republic of Korea}}	6.038	1.709	1.357	0.903	0.678	0.100	0.139	1.152
59	{{flag|Bahrain}}	6.030	1.752	1.391	0.609	0.907	0.148	0.167	1.057
60	{{flag|Portugal}}	6.013	1.646	1.560	0.822	0.879	0.040	0.034	1.032
61	{{flag|Colombia}}	6.004	1.380	1.513	0.587	0.777	0.039	0.051	1.658
62	{{flag|Ecuador}}	5.965	1.299	1.320	0.702	0.712	0.058	0.066	1.808
63	{{flag|Honduras}}	5.964	1.036	1.187	0.436	0.862	0.134	0.079	2.229
64	{{flag|Malaysia}}	5.955	1.571	1.315	0.446	0.991	0.181	0.110	1.341
65	{{flag|Peru}}	5.947	1.323	1.364	0.551	0.710	0.050	0.021	1.929
66	{{flag|Russian Federation}}	5.945	1.630	1.549	0.470	0.702	0.095	0.125	1.373
67	{{flag|Cyprus}}	5.942	1.720	1.348	0.840	0.612	0.108	0.041	1.273
68	{{flag|China}}	5.921	1.445	1.307	0.789	0.764	0.079	0.154	1.382
69	{{flag|Hungary}}	5.915	1.638	1.742	0.587	0.681	0.099	0.057	1.111
70	{{flag|Trinidad and Tobago}}	5.905	1.549	1.532	0.419	0.760	0.111	0.001	1.533
71	{{flag|Montenegro}}	5.877	1.507	1.551	0.618	0.768	0.075	0.138	1.220
72	{{flag|Croatia}}	5.870	1.644	1.673	0.669	0.478	0.022	0.065	1.319
73	{{flag|Jamaica}}	5.870	1.182	1.545	0.504	0.869	0.075	0.019	1.676
74	{{flag|Bolivia}}	5.868	1.173	1.356	0.346	0.817	0.067	0.052	2.057
75	{{flag|Kyrgyzstan}}	5.858	1.032	1.715	0.647	0.981	0.169	0.053	1.261
76	{{flag|Dominican Republic}}	5.846	1.457	1.500	0.615	0.866	0.063	0.186	1.160
77	{{flag|Mongolia}}	5.833	1.336	1.731	0.423	0.629	0.180	0.053	1.481
78	{{flag|Mauritius}}	5.832	1.499	1.521	0.617	0.761	0.095	0.130	1.209
79	{{flag|Libya}}	5.820	1.247	1.309	0.549	0.724	0.111	0.214	1.666
80	{{flag|Republic of Moldova}}	5.819	1.332	1.430	0.414	0.830	0.054	0.037	1.722
81	{{flag|Greece}}	5.776	1.608	1.438	0.725	0.396	0.003	0.063	1.543
82	{{flag|Venezuela}}	5.683	0.000	1.493	0.515	0.702	0.154	0.117	2.701
83	{{flag|Indonesia}}	5.617	1.288	1.372	0.454	0.918	0.323	0.044	1.218
84	{{flag|Algeria}}	5.571	1.315	1.363	0.782	0.522	0.057	0.219	1.313
85	{{flag|Bulgaria}}	5.554	1.573	1.725	0.463	0.708	0.055	0.000	1.029
86	{{flag|North Macedonia}}	5.503	1.458	1.537	0.544	0.637	0.130	0.007	1.190
87	{{flag|Armenia}}	5.494	1.391	1.349	0.828	0.786	0.032	0.158	0.950
88	{{flag|Hong Kong}}	5.491	1.790	1.410	0.948	0.674	0.116	0.386	0.168
89	{{flag|Albania}}	5.411	1.371	1.122	0.696	0.841	0.103	0.057	1.220
90	{{flag|Tajikistan}}	5.411	0.914	1.555	0.658		0.085	0.342
91	{{flag|Georgia}}	5.400	1.444	1.275	0.482	0.844	0.000	0.172	1.182
92	{{flag|Nepal}}	5.311	0.944	1.210	0.463	0.764	0.155	0.099	1.676
93	{{flag|Laos}}	5.301	1.122	1.010	0.493	0.916	0.145	0.164	1.452
94	{{flag|Turkey}}	5.262	1.582	1.444	0.626	0.244	0.040	0.104	1.223
95	{{flag|South Africa}}	5.213	1.283	1.465	0.142	0.676	0.064	0.043	1.540
96	{{flag|Mozambique}}	5.190	0.559	1.131	0.124	0.813	0.127	0.173	2.262
97	{{flag|Gabon}}	5.120	1.386	1.224	0.387	0.651	0.042	0.086	1.343
98	{{flag|Ivory Coast}}	5.102	1.038	0.760	0.206	0.661	0.100	0.162	2.176
99	{{flag|Iran}}	5.093	1.330	1.367	0.609	0.456	0.202	0.122	1.007
100	{{flag|Congo}}	5.030	1.023	0.796	0.336	0.626	0.082	0.126	2.040
101	{{flag|Iraq}}	4.976	1.261	1.275	0.589	0.503	0.100	0.069	1.178
102	{{flag|Guinea}}	4.929	0.873	0.791	0.306	0.676	0.157	0.098	2.027
103	{{flag|Namibia}}	4.911	1.182	1.482	0.104	0.564	0.052	0.056	1.470
104	{{flag|Cameroon}}	4.887	0.944	0.986	0.302	0.662	0.099	0.060	1.834
105	{{flag|Nigeria}}	4.885	0.989	1.245	0.380	0.639	0.170	0.028	1.433
106	{{flag|Azerbaijan}}	4.875	1.428	1.030	0.707	0.785	0.076	0.179	0.670
107	{{flag|Senegal}}	4.856	0.907	0.977	0.433	0.767	0.129	0.090	1.553
108	{{flag|Palestine}}	4.780	1.047	1.456		0.618	0.055	0.081
109	{{flag|Pakistan}}	4.768	0.982	0.759	0.417	0.529	0.136	0.046	1.898
110	{{flag|Niger}}	4.725	0.606	0.796	0.258	0.759	0.122	0.137	2.048
111	{{flag|Ukraine}}	4.680	1.328	1.472	0.472	0.689	0.245	0.023	0.451
112	{{flag|Morocco}}	4.622	1.139	0.635	0.585	0.748	0.031	0.095	1.388
113	{{flag|Tunisia}}	4.552	1.257	1.224	0.459	0.382	0.032	0.050	1.149
114	{{flag|Mauritania}}	4.542	1.023	0.919	0.516	0.454	0.113	0.195	1.323
115	{{flag|Kenya}}	4.510	0.994	1.047	0.448	0.649	0.220	0.073	1.079
116	{{flag|Uganda}}	4.461	0.762	1.342	0.396	0.751	0.148	0.050	1.012
117	{{flag|Gambia}}	4.423	0.778	0.958	0.348	0.611	0.255	0.045	1.428
118	{{flag|India}}	4.389	1.149	0.860	0.316	0.914	0.141	0.120	0.889
119	{{flag|Chad}}	4.384	0.592	0.902	0.242	0.477	0.175	0.111	1.884
120	{{flag|Burkina Faso}}	4.383	0.724	0.828	0.296	0.671	0.142	0.218	1.504
121	{{flag|Benin}}	4.357	0.855	0.228	0.357	0.679	0.092	0.238	1.909
122	{{flag|Somalia}}	4.347	0.535	0.877	0.046	0.916	0.206	0.192	1.575
123	{{flag|Mali}}	4.345	0.709	0.908	0.318	0.767	0.093	0.114	1.436
124	{{flag|Cambodia}}	4.341	1.049	1.215	0.481	0.988	0.138	0.078	0.393
125	{{flag|Ghana}}	4.340	1.053	1.010	0.438	0.771	0.139	0.025	0.904
126	{{flag|Myanmar}}	4.321	0.975	1.144	0.446	0.569	0.322	0.163	0.702
127	{{flag|Togo}}	4.315	0.757	0.736	0.378	0.576	0.097	0.153	1.618
128	{{flag|Jordan}}	4.310	1.158	1.202	0.573	0.700	0.051	0.164	0.461
129	{{flag|Liberia}}	4.277	0.582	0.888	0.324	0.653	0.143	0.068	1.618
130	{{flag|Madagascar}}	4.157	0.588	0.938	0.341	0.292	0.131	0.118	1.751
131	{{flag|Zambia}}	3.912	0.848	1.013	0.233	0.872	0.131	0.107	0.709
132	{{flag|Ethiopia}}	3.898	0.757	1.051	0.416	0.540	0.182	0.100	0.852
133	{{flag|Sri Lanka}}	3.891	1.271	1.308	0.567	0.696	0.121	0.025|
0.099
134	{{flag|Bangladesh}}	3.851	1.116	0.286	0.592	0.920	0.110	0.132	0.695
135	{{flag|Egypt}}	3.817	1.347	1.075	0.473	0.593	0.018	0.103	0.210
136	{{flag|Tanzania}}	3.800	0.847	0.908	0.411	0.858	0.153	0.243	0.380
137	{{flag|Eswatini}}	3.774	1.183	1.152	0.038	0.428	0.054	0.130	0.790
138	{{flag|Lesotho}}	3.757	0.737	1.131	0.000	0.606	0.065	0.072	1.145
139	{{flag|Comoros}}	3.754	0.835	0.501	0.428	0.260	0.117	0.164	1.450
140	{{flag|Yemen}}	3.561	0.631	1.482	0.375	0.447	0.066	0.106	0.454
141	{{flag|DR Congo}}	3.469	0.544	0.929	0.278	0.600	0.151	0.061	0.906
142	{{flag|Botswana}}	3.438	1.388	1.146	0.094	0.697	0.018	0.083	0.012
143	{{flag|Zimbabwe}}	3.396	0.827	0.961	0.178	0.598	0.065	0.131	0.636
144	{{flag|Malawi}}	3.260	0.588	0.489	0.280	0.677	0.115	0.136	0.975
145	{{flag|Lebanon}}	3.188	1.223	0.984	0.440	0.279	0.071	0.041	0.150
146	{{flag|Sierra Leone}}	2.998	0.786	0.692	0.327	0.613	0.138	0.052	0.391
147	{{flag|Afghanistan}}	1.364	0.649	0.000	0.155	0.000	0.075	0.135	0.348

{{collapse bottom||}}

The 2024 report features the happiness score averaged over the years 2021–2023.{{citation |pages=15–17 |title=Figure 2.1: Country Rankings by Life Evaluations in 2021-2023 |work= World Happiness Report 2024 |date=2024 |access-date=23 March 2024 |url=https://happiness-report.s3.amazonaws.com/2024/WHR+24.pdf |isbn=978-1-7348080-7-0}}

{{collapse top|title=Table}}

class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region ! style="width: 20px;" | Score
1	{{flag|Finland}}	7.741
2	{{flag|Denmark}}	7.583
3	{{flag|Iceland}}	7.525
4	{{flag|Sweden}}	7.344
5	{{flag|Israel}}	7.341
6	{{flag|Netherlands}}	7.319
7	{{flag|Norway}}	7.302
8	{{flag|Luxembourg}}	7.122
9	{{flag|Switzerland}}	7.060
10	{{flag|Australia}}	7.057
11	{{flag|New Zealand}}	7.029
12	{{flag|Costa Rica}}	6.955
13	{{flag|Kuwait}}	6.951
14	{{flag|Austria}}	6.905
15	{{flag|Canada}}	6.900
16	{{flag|Belgium}}	6.894
17	{{flag|Ireland}}	6.838
18	{{flag|Czechia}}	6.822
19	{{flag|Lithuania}}	6.818
20	{{flag|United Kingdom}}	6.749
21	{{flag|Slovenia}}	6.743
22	{{flag|United Arab Emirates}}	6.733
23	{{flag|United States}}	6.725
24	{{flag|Germany}}	6.719
25	{{flag|Mexico}}	6.678
26	{{flag|Uruguay}}	6.611
27	{{flag|France}}	6.609
28	{{flag|Saudi Arabia}}	6.594
29	{{flag|Kosovo}}	6.561
30	{{flag|Singapore}}	6.523
31	{{flag|Taiwan}}	6.503
32	{{flag|Romania}}	6.491
33	{{flag|El Salvador}}	6.469
34	{{flag|Estonia}}	6.448
35	{{flag|Poland}}	6.442
36	{{flag|Spain}}	6.421
37	{{flag|Serbia}}	6.411
38	{{flag|Chile}}	6.360
39	{{flag|Panama}}	6.358
40	{{flag|Malta}}	6.346
41	{{flag|Italy}}	6.324
42	{{flag|Guatemala}}	6.287
43	{{flag|Nicaragua}}	6.284
44	{{flag|Brazil}}	6.272
45	{{flag|Slovakia}}	6.257
46	{{flag|Latvia}}	6.234
47	{{flag|Uzbekistan}}	6.195
48	{{flag|Argentina}}	6.188
49	{{flag|Kazakhstan}}	6.188
50	{{flag|Cyprus}}	6.068
51	{{flag|Japan}}	6.060
52	{{flag|South Korea}}	6.058
53	{{flag|Philippines}}	6.048
54	{{flag|Vietnam}}	6.043
55	{{flag|Portugal}}	6.030
56	{{flag|Hungary}}	6.017
57	{{flag|Paraguay}}	5.977
58	{{flag|Thailand}}	5.976
59	{{flag|Malaysia}}	5.975
60	{{flag|China}}	5.973
61	{{flag|Honduras}}	5.968
62	{{flag|Bahrain}}	5.959
63	{{flag|Croatia}}	5.942
64	{{flag|Greece}}	5.934
65	{{flag|Bosnia and Herzegovina}}	5.877
66	{{flag|Libya}}	5.866
67	{{flag|Jamaica}}	5.842
68	{{flag|Peru}}	5.841
69	{{flag|Dominican Republic}}	5.823
70	{{flag|Mauritius}}	5.816
71	{{flag|Moldova}}	5.816
72	{{flag|Russia}}	5.785
73	{{flag|Bolivia}}	5.784
74	{{flag|Ecuador}}	5.725
75	{{flag|Kyrgyzstan}}	5.714
76	{{flag|Montenegro}}	5.707
77	{{flag|Mongolia}}	5.696
78	{{flag|Colombia}}	5.695
79	{{flag|Venezuela}}	5.607
80	{{flag|Indonesia}}	5.568
81	{{flag|Bulgaria}}	5.463
82	{{flag|Armenia}}	5.455
83	{{flag|South Africa}}	5.422
84	{{flag|North Macedonia}}	5.369
85	{{flag|Algeria}}	5.364
86	{{flag|Hong Kong}}	5.316
87	{{flag|Albania}}	5.304
88	{{flag|Tajikistan}}	5.281
89	{{flag|Congo (Brazzaville)}}	5.221
90	{{flag|Mozambique}}	5.216
91	{{flag|Georgia}}	5.185
92	{{flag|Iraq}}	5.166
93	{{flag|Nepal}}	5.158
94	{{flag|Laos}}	5.139
95	{{flag|Gabon}}	5.106
96	{{flag|Ivory Coast}}	5.080
97	{{flag|Guinea}}	5.023
98	{{flag|Turkey}}	4.975
99	{{flag|Senegal}}	4.969
100	{{flag|Iran}}	4.923
101	{{flag|Azerbaijan}}	4.893
102	{{flag|Nigeria}}	4.881
103	{{flag|State of Palestine}}	4.879
104	{{flag|Cameroon}}	4.874
105	{{flag|Ukraine}}	4.873
106	{{flag|Namibia}}	4.832
107	{{flag|Morocco}}	4.795
108	{{flag|Pakistan}}	4.657
109	{{flag|Niger}}	4.556
110	{{flag|Burkina Faso}}	4.548
111	{{flag|Mauritania}}	4.505
112	{{flag|Gambia}}	4.485
113	{{flag|Chad}}	4.471
114	{{flag|Kenya}}	4.470
115	{{flag|Tunisia}}	4.422
116	{{flag|Benin}}	4.377
117	{{flag|Uganda}}	4.372
118	{{flag|Myanmar}}	4.354
119	{{flag|Cambodia}}	4.341
120	{{flag|Ghana}}	4.289
121	{{flag|Liberia}}	4.269
122	{{flag|Mali}}	4.232
123	{{flag|Madagascar}}	4.228
124	{{flag|Togo}}	4.214
125	{{flag|Jordan}}	4.186
126	{{flag|India}}	4.054
127	{{flag|Egypt}}	3.977
128	{{flag|Sri Lanka}}	3.898
129	{{flag|Bangladesh}}	3.886
130	{{flag|Ethiopia}}	3.861
131	{{flag|Tanzania}}	3.781
132	{{flag|Comoros}}	3.566
133	{{flag|Yemen}}	3.561
134	{{flag|Zambia}}	3.502
135	{{flag|Eswatini}}	3.502
136	{{flag|Malawi}}	3.421
137	{{flag|Botswana}}	3.383
138	{{flag|Zimbabwe}}	3.341
139	{{flag|Congo (Kinshasa)}}	3.295
140	{{flag|Sierra Leone}}	3.245
141	{{flag|Lesotho}}	3.186
142	{{flag|Lebanon}}	2.707
143	{{flag|Afghanistan}}	1.721

{{collapse bottom||}}

The 2023 report features the happiness score averaged over the years 2020–2022.

{{collapse top|title=Table}}

class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region
1	{{flag|Finland}}
2	{{flag|Denmark}}
3	{{flag|Iceland}}
4	{{flag|Israel}}
5	{{flag|Netherlands}}
6	{{flag|Sweden}}
7	{{flag|Norway}}
8	{{flag|Switzerland}}
9	{{flag|Luxembourg}}
10	{{flag|New Zealand}}
11	{{flag|Austria}}
12	{{flag|Australia}}
13	{{Flag|Canada}}
14	{{Flag|Ireland}}
15	{{flag|United States}}
16	{{flag|Germany}}
17	{{flag|Belgium}}
18	{{flag|Czech Republic}}
19	{{flag|United Kingdom}}
20	{{flag|Lithuania}}
21	{{flag|France}}
22	{{flag|Slovenia}}
23	{{flag|Costa Rica}}
24	{{flag|Romania}}
25	{{flag|Singapore}}*
26	{{flag|United Arab Emirates}}
27	{{flag|Taiwan}}
28	{{flag|Uruguay}}
29	{{flag|Slovakia}}*
30	{{flag|Saudi Arabia}}
31	{{flag|Estonia}}
32	{{flag|Spain}}
33	{{flag|Italy}}
34	{{flag|Kosovo}}
35	{{flag|Chile}}
36	{{flag|Mexico}}
37	{{flag|Malta}}
38	{{flag|Panama}}
39	{{flag|Poland}}
40	{{flag|Nicaragua}}
41	{{flag|Latvia}}
42	{{flag|Bahrain}}*
43	{{flag|Guatemala}}
44	{{flag|Kazakhstan}}
45	{{flag|Serbia}}*
46	{{flag|Cyprus}}
47	{{flag|Japan}}
48	{{flag|Croatia}}
49	{{flag|Brazil}}
50	{{flag|El Salvador}}
51	{{flag|Hungary}}
52	{{flag|Argentina}}
53	{{flag|Honduras}}
54	{{flag|Uzbekistan}}
55	{{flag|Malaysia}}*
56	{{flag|Portugal}}
57	{{flag|South Korea}}
58	{{flag|Greece}}
59	{{flag|Mauritius}}
60	{{flag|Thailand}}
61	{{flag|Mongolia}}
62	{{flag|Kyrgyzstan}}
63	{{flag|Moldova}}
64	{{flag|China}}*
65	{{flag|Vietnam}}
66	{{flag|Paraguay}}
67	{{flag|Montenegro}}*
68	{{flag|Jamaica}}
69	{{flag|Bolivia}}
70	{{flag|Russia}}
71	{{flag|Bosnia and Herzegovina}}*
72	{{flag|Colombia}}
73	{{flag|Dominican Republic}}
74	{{flag|Ecuador}}
75	{{flag|Peru}}
76	{{flag|Philippines}}*
77	{{flag|Bulgaria}}
78	{{flag|Nepal}}
79	{{flag|Armenia}}
80	{{flag|Tajikistan}}*
81	{{flag|Algeria}}*
82	{{flag|Hong Kong}}
83	{{flag|Albania}}
84	{{flag|Indonesia}}
85	{{flag|South Africa}}*
86	{{flag|Congo, Republic of}}
87	{{flag|North Macedonia}}
88	{{flag|Venezuela}}
89	{{flag|Laos}}*
90	{{flag|Georgia}}
91	{{flag|Guinea}}
92	{{flag|Ukraine}}
93	{{flag|Ivory Coast}}
94	{{flag|Gabon}}
95	{{flag|Nigeria}}*
96	{{flag|Cameroon}}
97	{{flag|Mozambique}}
98	{{flag|Iraq}}*
99	{{flag|Palestine}}
100	{{flag|Morocco}}
101	{{flag|Iran}}
102	{{flag|Senegal}}
103	{{flag|Mauritania}}
104	{{flag|Burkina Faso}}*
105	{{flag|Namibia}}
106	{{flag|Turkey}}*
107	{{flag|Ghana}}
108	{{flag|Pakistan}}
109	{{flag|Niger}}
110	{{flag|Tunisia}}
111	{{flag|Kenya}}
112	{{flag|Sri Lanka}}*
113	{{flag|Uganda}}*
114	{{flag|Chad}}
115	{{flag|Cambodia}}
116	{{flag|Benin}}
117	{{flag|Myanmar}}*
118	{{flag|Bangladesh}}
119	{{flag|Gambia}}
120	{{flag|Mali}}
121	{{flag|Egypt}}
122	{{flag|Togo}}
123	{{flag|Jordan}}
124	{{flag|Ethiopia}}
125	{{flag|Liberia}}
126	{{flag|India}}
127	{{flag|Madagascar}}
128	{{flag|Zambia}}*
129	{{flag|Tanzania}}
130	{{flag|Comoros}}
131	{{flag|Malawi}}
132	{{flag|Botswana}}
133	{{flag|Congo, Democratic Republic of}}
134	{{flag|Zimbabwe}}
135	{{flag|Sierra Leone}}
136	{{flag|Lebanon}}
137	{{flag|Afghanistan}}

|-

|* indicates the country does not have survey information in 2022. Their averages are based on the 2020 and 2021 surveys.

{{collapse bottom|}}

The 2022 report features the happiness score averaged over the years 2019–2021.{{collapse top|title=Table}}

class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region
1	{{flag|Finland}}
2	{{flag|Denmark}}
3	{{flag|Iceland}}
4	{{flag|Switzerland}}
5	{{flag|Netherlands}}
6	{{flag|Luxembourg}}
7	{{flag|Sweden}}
8	{{flag|Norway}}
9	{{flag|Israel}}
10	{{flag|New Zealand}}
11	{{flag|Austria}}
12	{{flag|Australia}}
13	{{Flag|Ireland}}
14	{{Flag|Germany}}
15	{{flag|Canada}}
16	{{flag|United States}}
17	{{flag|United Kingdom}}
18	{{flag|Czech Republic}}
19	{{flag|Belgium}}
20	{{flag|France}}

{{collapse bottom}}

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.

{{collapse top|title=Table}}

class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region !{{abbr|Score|Happiness score}} ! style="width: 10px;" |{{abbr|GDP per capita|Explained by: GDP }} ! style="width: 10px;" |{{abbr|Social support|Explained by: Social support}} ! style="width: 10px;" |{{abbr|Healthy life expectancy|Explained by: Healthy life expectancy}} ! style="width: 10px;" |{{abbr|Freedom to make life choices|Explained by: Freedom to make life choices}} ! style="width: 10px;" |{{abbr|Generosity|Explained by: Generosity}} ! style="width: 10px;" |{{abbr|Perceptions of corruption|Explained by: Perceptions of corruption}}
1	{{flag|Finland}}	7.809	1.285	1.500	0.961	0.662	0.160	0.478
2	{{flag|Denmark}}	7.646	1.327	1.503	0.979	0.665	0.243	0.495
3	{{flag|Switzerland}}	7.560	1.391	1.472	1.041	0.629	0.269	0.408
4	{{flag|Iceland}}	7.504	1.327	1.548	1.001	0.662	0.362	0.145
5	{{flag|Norway}}	7.488	1.424	1.495	1.008	0.670	0.288	0.434
6	{{flag|Netherlands}}	7.449	1.339	1.464	0.976	0.614	0.336	0.369
7	{{flag|Sweden}}	7.353	1.322	1.433	0.986	0.650	0.273	0.442
8	{{flag|New Zealand}}	7.300	1.242	1.487	1.008	0.647	0.326	0.461
9	{{flag|Austria}}	7.294	1.317	1.437	1.001	0.603	0.256	0.281
10	{{flag|Luxembourg}}	7.238	1.537	1.388	0.986	0.610	0.196	0.367
11	{{flag|Canada}}	7.232	1.302	1.435	1.023	0.644	0.282	0.352
12	{{flag|Australia}}	7.223	1.310	1.477	1.023	0.622	0.325	0.336
13	{{flag|United Kingdom}}	7.165	1.273	1.458	0.976	0.525	0.373	0.323
14	{{flag|Israel}}	7.129	1.216	1.403	1.008	0.421	0.267	0.100
15 |{{flag|Costa Rica}}	7.121	0.981	1.375	0.940	0.645	0.131	0.096
16 |{{Flag|Ireland}}	7.094	1.447	1.471	0.976	0.588	0.295	0.373
17 |{{Flag|Germany}}	7.076	1.314	1.369	0.972	0.564	0.252	0.309
18	{{flag|United States}}	6.940	1.374	1.405	0.832	0.535	0.298	0.152
19	{{flag|Czech Republic}}	6.911	1.212	1.405	0.895	0.506	0.046	0.050
20	{{flag|Belgium}}	6.864	1.296	1.399	0.965	0.500	0.147	0.209
21	{{flag|United Arab Emirates}}	6.791	1.431	1.251	0.788	0.653	0.281	0.220
22	{{flag|Malta}}	6.773	1.253	1.443	0.972	0.633	0.341	0.179
23	{{flag|France}}	6.664	1.268	1.459	1.030	0.514	0.113	0.227
24	{{flag|Mexico}}	6.465	1.024	1.226	0.832	0.554	0.083	0.083
25 |{{flag|Taiwan}}	6.455	1.327	1.358	0.878	0.449	0.151	0.132
26 |{{flag|Uruguay}} |6.440 |1.071 |1.425 |0.857 |0.594 |0.132 |0.193
27 |{{flag|Saudi Arabia}} |6.406 |1.334 |1.310 |0.760 |0.548 |0.087 |0.163
28 |{{flag|Spain}} |6.401 |1.231 |1.421 |1.051 |0.426 |0.165 |0.110
29 |{{flag|Guatemala}} |6.399 |0.754 |1.174 |0.706 |0.613 |0.171 |0.098
30 |{{flag|Italy}} |6.387 |1.236 |1.347 |1.023 |0.321 |0.170 |0.040
31 |{{flag|Singapore}} |6.377 |1.520 |1.395 |1.138 |0.635 |0.219 |0.533
32 |{{flag|Brazil}} |6.376 |0.953 |1.363 |0.766 |0.483 |0.132 |0.107
33	{{flag|Slovenia}}	6.363	1.209	1.465	0.933	0.647	0.146	0.077
34	{{flag|El Salvador}}	6.348	0.749	1.149	0.753	0.524	0.119	0.117
35	{{flag|Kosovo}}	6.325	0.840	1.184	0.673	0.557	0.325	0.009
36	{{flag|Panama}}	6.305	1.098	1.376	0.879	0.580	0.097	0.054
37	{{flag|Slovakia}}	6.281	1.195	1.424	0.853	0.424	0.117	0.011
38	{{flag|Uzbekistan}}	6.258	0.697	1.434	0.717	0.693	0.363	0.280
39	{{flag|Chile}}	6.228	1.097	1.323	0.889	0.417	0.156	0.063
40	{{flag|Bahrain}}	6.227	1.297	1.315	0.839	0.610	0.287	0.127
41	{{flag|Lithuania}}	6.215	1.194	1.433	0.795	0.420	0.054	0.081
42	{{flag|Trinidad and Tobago}}	6.192	1.168	1.407	0.659	0.553	0.199	0.015
43 |{{Flag|Poland}} |6.186 |1.169 |1.310 |0.868 |0.558 |0.063 |0.161
44 |{{Flag|Colombia}} |6.163 |0.932 |1.334 |0.810 |0.527 |0.092 |0.046
45 |{{Flag|Cyprus}} |6.159 |1.213 |1.149 |1.026 |0.459 |0.228 |0.051
46 |{{Flag|Nicaragua}} |6.137 |0.620 |1.271 |0.803 |0.560 |0.213 |0.174
47 |{{Flag|Romania}} |6.124 |1.120 |1.194 |0.792 |0.535 |0.068 |0.001
48 |{{Flag|Kuwait}} |6.102 |1.425 |1.245 |0.776 |0.570 |0.133 |0.113
49 |{{Flag|Mauritius}} |6.101 |1.074 |1.396 |0.763 |0.591 |0.187 |0.084
50 |{{Flag|Kazakhstan}} |6.058 |1.123 |1.453 |0.699 |0.497 |0.154 |0.110
51 |{{Flag|Estonia}} |6.022 |1.192 |1.453 |0.843 |0.577 |0.125 |0.202
52	{{flag|Philippines}}	6.006	0.775	1.245	0.602	0.622	0.129	0.130
53	{{flag|Hungary}}	6.000	1.164	1.423	0.807	0.386	0.070	0.028
54	{{flag|Thailand}}	5.999	1.007	1.348	0.794	0.609	0.377	0.032
55	{{flag|Argentina}}	5.975	1.028	1.373	0.850	0.521	0.070	0.060
56	{{flag|Honduras}}	5.953	0.599	1.187	0.792	0.568	0.257	0.087
57	{{flag|Latvia}}	5.950	1.141	1.414	0.778	0.329	0.075	0.090
58	{{flag|Ecuador}}	5.925	0.853	1.221	0.839	0.555	0.115	0.087
59	{{flag|Portugal}}	5.911	1.169	1.340	0.979	0.590	0.053	0.028
60 |{{flag|Jamaica}} |5.890 |0.779 |1.408 |0.788 |0.553 |0.116 |0.030
61 |{{flag|South Korea}} |5.872 |1.245 |1.134 |1.023 |0.259 |0.170 |0.095
62 |{{flag|Japan}} |5.871 |1.267 |1.332 |1.073 |0.495 |0.036 |0.181
63 |{{flag|Peru}} |5.797 |0.919 |1.208 |0.824 |0.513 |0.092 |0.027
64 |{{flag|Serbia}} |5.778 |0.988 |1.327 |0.828 |0.395 |0.150 |0.059
65 |{{flag|Bolivia}} |5.747 |0.731 |1.142 |0.662 |0.574 |0.138 |0.073
66 |{{Flag|Pakistan}} |5.693 |0.617 |0.873 |0.470 |0.405 |0.229 |0.123
67 |{{Flag|Paraguay}} |5.692 |0.898 |1.368 |0.736 |0.587 |0.204 |0.065
68 |{{flag|Dominican Republic}} |5.689 |0.983 |1.329 |0.742 |0.563 |0.112 |0.116
69 |{{flag|Bosnia and Herzegovina}} |5.674 |0.918 |1.204 |0.814 |0.305 |0.264 |0.001
70 |{{flag|Moldova}} |5.608 |0.708 |1.237 |0.713 |0.390 |0.174 |0.014
71 |{{flag|Tajikistan}} |5.556 |0.475 |1.218 |0.681 |0.521 |0.182 |0.222
72 |{{flag|Montenegro}} |5.546 |1.010 |1.266 |0.839 |0.303 |0.149 |0.098
73 |{{flag|Russia}} |5.546 |1.127 |1.379 |0.680 |0.399 |0.099 |0.046
74 |{{flag|Kyrgyzstan}} |5.542 |0.513 |1.341 |0.681 |0.615 |0.301 |0.030
75 |{{flag|Belarus}} |5.540 |1.019 |1.387 |0.753 |0.291 |0.090 |0.194
76 |{{flag|North Cyprus}} |5.536 |1.213 |1.183 |1.026 |0.478 |0.199 |0.200
77 |{{flag|Greece}} |5.515 |1.128 |1.169 |0.979 |0.174 |0.000 |0.049
78 |{{flag|Hong Kong}} |5.510 |1.377 |1.244 |1.137 |0.459 |0.288 |0.332
79 |{{flag|Croatia}} |5.505 |1.109 |1.311 |0.901 |0.381 |0.114 |0.012
80	{{flag|Libya}}	5.489	1.022	1.196	0.616	0.451	0.143	0.172
81	{{flag|Mongolia}}	5.456	0.905	1.459	0.616	0.356	0.264	0.047
82	{{flag|Malaysia}}	5.384	1.168	1.174	0.789	0.597	0.275	0.062
83	{{flag|Vietnam}}	5.353	0.718	1.253	0.819	0.651	0.136	0.090
84	{{flag|Indonesia}}	5.286	0.892	1.155	0.610	0.568	0.543	0.038
85	{{flag|Ivory Coast}}	5.233	0.537	0.800	0.155	0.397	0.170	0.093
86	{{flag|Benin}}	5.216	0.366	0.352	0.328	0.406	0.197	0.126
87	{{flag|Maldives}}	5.198	0.938	1.402	0.914	0.548	0.224	0.072
88	{{Flag|Congo (Brazzaville)}}	5.194	0.634	0.758	0.458	0.387	0.117	0.119
89	{{flag|Azerbaijan}}	5.165	0.990	1.181	0.731	0.468	0.040	0.247
90	{{flag|North Macedonia}}	5.160	0.935	1.183	0.803	0.410	0.186	0.025
91	{{flag|Ghana}}	5.148	0.576	0.966	0.432	0.477	0.261	0.057
92	{{flag|Nepal}}	5.137	0.444	1.101	0.669	0.481	0.301	0.128
93	{{flag|Turkey}}	5.132	1.127	1.197	0.781	0.254	0.086	0.121
94	{{flag|China}}	5.124	0.991	1.132	0.867	0.602	0.079	0.117
95	{{flag|Turkmenistan}}	5.119	1.009	1.510	0.612	0.515	0.323	0.034
96	{{flag|Bulgaria}}	5.102	1.047	1.461	0.778	0.418	0.104	0.000
97	{{flag|Morocco}}	5.095	0.759	0.645	0.745	0.450	0.040	0.077
98	{{flag|Cameroon}}	5.085	0.504	0.900	0.270	0.439	0.198	0.054
99	{{flag|Venezuela}}	5.053	0.770	1.349	0.767	0.272	0.087	0.064
100	{{flag|Algeria}}	5.005	0.944	1.143	0.745	0.084	0.119	0.129
101	{{flag|Senegal}}	4.981	0.504	0.955	0.518	0.352	0.164	0.082
102	{{flag|Guinea}}	4.949	0.390	0.751	0.334	0.372	0.249	0.112
103	{{flag|Niger}}	4.910	0.108	0.704	0.299	0.435	0.208	0.138
104	{{flag|Laos}}	4.889	0.715	0.987	0.486	0.612	0.273	0.194
105	{{flag|Albania}}	4.883	0.907	0.830	0.846	0.462	0.171	0.025
106	{{flag|Cambodia}}	4.848	0.545	1.071	0.588	0.675	0.233	0.073
107	{{flag|Bangladesh}}	4.833	0.556	0.869	0.695	0.604	0.177	0.177
108 |{{flag|Gabon}} |4.829 |0.988 |1.106 |0.523 |0.369 |0.052 |0.056
109 |{{flag|South Africa}} |4.814 |0.902 |1.259 |0.407 |0.435 |0.126 |0.060
110 |{{flag|Iraq}} |4.785 |0.982 |1.011 |0.529 |0.284 |0.153 |0.073
111 |{{flag|Lebanon}} |4.772 |0.889 |1.192 |0.789 |0.186 |0.159 |0.022
112 |{{flag|Burkina Faso}} |4.769 |0.302 |0.929 |0.313 |0.322 |0.186 |0.126
113 |{{flag|Gambia}} |4.751 |0.257 |0.883 |0.353 |0.403 |0.426 |0.158
114 |{{flag|Mali}} |4.729 |0.352 |0.973 |0.235 |0.378 |0.170 |0.062
115 |{{flag|Nigeria}} |4.724 |0.646 |0.987 |0.168 |0.435 |0.221 |0.048
116	{{flag|Armenia}}	4.677	0.808	1.035	0.776	0.378	0.107	0.105
117	{{flag|Georgia}}	4.673	0.847	0.731	0.695	0.485	0.048	0.174
118	{{flag|Iran}}	4.672	1.029	0.886	0.749	0.301	0.277	0.143
119	{{flag|Jordan}}	4.633	0.785	1.140	0.778	0.425	0.091	0.152
120	{{flag|Mozambique}}	4.624	0.179	0.955	0.324	0.561	0.220	0.163
121	{{flag|Kenya}}	4.583	0.476	0.905	0.536	0.519	0.394	0.067
122	{{flag|Namibia}}	4.571	0.840	1.246	0.407	0.445	0.076	0.054
123	{{flag|Ukraine}}	4.561	0.780	1.321	0.699	0.319	0.179	0.010
124	{{flag|Liberia}}	4.558	0.174	0.921	0.392	0.406	0.227	0.051
125	{{flag|Palestine}}	4.553	0.588	1.195	0.614	0.299	0.092	0.072
126	{{flag|Uganda}}	4.432	0.312	1.052	0.378	0.402	0.265	0.064
127	{{flag|Chad}}	4.423	0.302	0.739	0.109	0.229	0.211	0.086
128	{{flag|Tunisia}}	4.392	0.875	0.872	0.781	0.236	0.056	0.044
129	{{flag|Mauritania}}	4.375	0.540	1.113	0.425	0.186	0.129	0.122
130	{{flag|Sri Lanka}}	4.327	0.898	1.195	0.792	0.529	0.253	0.049
131	{{Flag|Congo (Kinshasa)}}	4.311	0.062	0.833	0.277	0.365	0.254	0.081
132 |{{flag|Eswatini}} |4.308 |0.828 |1.065 |0.216 |0.300 |0.067 |0.147
133 |{{flag|Myanmar}} |4.308 |0.678 |1.098 |0.495 |0.597 |0.570 |0.188
134 |{{flag|Comoros}} |4.289 |0.416 |0.723 |0.437 |0.181 |0.259 |0.100
135 |{{flag|Togo}} |4.187 |0.268 |0.548 |0.343 |0.304 |0.201 |0.115
136 |{{flag|Ethiopia}} |4.186 |0.315 |1.001 |0.484 |0.413 |0.228 |0.117
137 |{{flag|Madagascar}} |4.166 |0.245 |0.824 |0.501 |0.193 |0.191 |0.076
138 |{{flag|Egypt}} |4.151 |0.875 |0.983 |0.597 |0.374 |0.069 |0.095
139 |{{flag|Sierra Leone}} |3.926 |0.241 |0.748 |0.204 |0.382 |0.258 |0.048
140 |{{flag|Burundi}} |3.775 |0.000 |0.404 |0.295 |0.275 |0.187 |0.212
141 |{{flag|Zambia}} |3.759 |0.537 |0.896 |0.364 |0.491 |0.251 |0.087
142 |{{flag|Haiti}} |3.721 |0.285 |0.647 |0.374 |0.169 |0.464 |0.162
143 |{{flag|Lesotho}} |3.653 |0.455 |1.089 |0.101 |0.409 |0.103 |0.050
144 |{{flag|India}} |3.573 |0.731 |0.644 |0.541 |0.581 |0.237 |0.106
145 |{{flag|Malawi}} |3.538 |0.177 |0.530 |0.446 |0.487 |0.213 |0.132
146 |{{flag|Yemen}} |3.527 |0.393 |1.177 |0.415 |0.244 |0.095 |0.087
147 |{{flag|Botswana}} |3.479 |0.998 |1.086 |0.494 |0.509 |0.033 |0.102
148 |{{flag|Tanzania}} |3.476 |0.457 |0.873 |0.443 |0.509 |0.272 |0.204
149 |{{flag|Central African Republic}} |3.476 |0.041 |0.000 |0.000 |0.293 |0.254 |0.028
150 |{{flag|Rwanda}} |3.312 |0.343 |0.523 |0.572 |0.604 |0.236 |0.486
151 |{{flag|Zimbabwe}} |3.299 |0.426 |1.048 |0.375 |0.377 |0.151 |0.081
152 |{{flag|South Sudan}} |2.817 |0.289 |0.553 |0.209 |0.066 |0.210 |0.111
153 |{{flag|Afghanistan}} |2.567 |0.301 |0.356 |0.266 |0.000 |0.135 |0.001

{{collapse bottom}}

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 [https://worldhappiness.report/ed/2019/ 2019 Report]. The World Happiness Report is a landmark survey of the state of global happiness.

{{collapse top|title=Table}}

class="wikitable sortable"
valign="top" ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region !{{abbr|Score|Happiness score}} ! style="width: 10px;" |{{abbr|GDP per capita|Explained by: GDP }} ! style="width: 10px;" |{{abbr|Social support|Explained by: Social support}} ! style="width: 10px;" |{{abbr|Healthy life expectancy|Explained by: Healthy life expectancy}} ! style="width: 10px;" |{{abbr|Freedom to make life choices|Explained by: Freedom to make life choices}} ! style="width: 10px;" |{{abbr|Generosity|Explained by: Generosity}} ! style="width: 10px;" |{{abbr|Perceptions of corruption|Explained by: Perceptions of corruption}}
1	{{flag|Finland}}	7.769	1.340	1.587	0.986	0.596	0.153	0.393
2	{{flag|Denmark}}	7.600	1.383	1.573	0.996	0.592	0.252	0.410
3	{{flag|Norway}}	7.554	1.488	1.582	1.028	0.603	0.271	0.341
4	{{flag|Iceland}}	7.494	1.380	1.624	1.026	0.591	0.354	0.118
5	{{flag|Netherlands}}	7.488	1.396	1.522	0.999	0.557	0.322	0.298
6	{{flag|Switzerland}}	7.480	1.452	1.526	1.052	0.572	0.263	0.343
7	{{flag|Sweden}}	7.343	1.387	1.487	1.009	0.574	0.267	0.373
8	{{flag|New Zealand}}	7.307	1.303	1.557	1.026	0.585	0.330	0.380
9	{{flag|Canada}}	7.278	1.365	1.505	1.039	0.584	0.285	0.308
10	{{flag|Austria}}	7.246	1.376	1.475	1.016	0.532	0.244	0.226
11	{{flag|Australia}}	7.228	1.372	1.548	1.036	0.557	0.332	0.290
12	{{flag|Costa Rica}}	7.167	1.034	1.441	0.963	0.558	0.144	0.093
13	{{flag|Israel}}	7.139	1.276	1.455	1.029	0.371	0.261	0.082
14	{{flag|Luxembourg}}	7.090	1.609	1.479	1.012	0.526	0.194	0.316
15	{{flag|United Kingdom}}	7.054	1.333	1.538	0.996	0.450	0.348	0.278
16	{{flag|Ireland

}||7.021||1.499||1.553||0.999||0.516||0.298||0.310

|-

| 17||{{flag|Germany}}||6.985||1.373||1.454||0.987||0.495||0.261||0.265

|-

| 18 ||{{flag|Belgium}}||6.923||1.356||1.504||0.986||0.473||0.160||0.210

|-

| 19 ||{{flag|United States of America}}||6.892||1.433||1.457||0.874||0.454||0.280||0.128

|-

| 20 ||{{flag|Czech Republic}}||6.852||1.269||1.487||0.920||0.457||0.046||0.036

|-

| 21||{{flag|United Arab Emirates}}||6.825||1.503||1.310||0.825||0.598||0.262||0.182

|-

| 22||{{flag|Malta}}||6.726||1.300||1.520||0.999||0.564||0.375||0.151

|-

| 23||{{flag|Mexico}}||6.595||1.070||1.323||0.861||0.433||0.074||0.073

|-

| 24||{{flag|France|}}||6.592||1.324||1.472||1.045||0.436||0.111||0.183

|-

| 25 ||{{Flag|Taiwan}}||6.446||1.368||1.430||0.914||0.351||0.242||0.097

|-

| 26||{{flag|Chile}}||6.444||1.159||1.369||0.920||0.357||0.187||0.056

|-

| 27||{{flag|Guatemala}}||6.436||0.800||1.269||0.746||0.535||0.175||0.078

|-

| 28||{{flag|Saudi Arabia}}||6.375||1.403||1.357||0.795||0.439||0.080||0.132

|-

| 29||{{flag|Qatar}}||6.374||1.684||1.313||0.871||0.555||0.220||0.167

|-

| 30||{{flag|Spain}}||6.354||1.286||1.484||1.062||0.362||0.153||0.079

|-

| 31||{{flag|Panama}}||6.321||1.149||1.442||0.910||0.516||0.109||0.054

|-

| 32||{{flag|Brazil}}||6.300||1.004||1.439||0.802||0.390||0.099||0.086

|-

| 33||{{flag|Uruguay}}||6.293||1.124||1.465||0.891||0.523||0.127||0.150

|-

|34||{{flag|Singapore}}||6.262||1.572||1.463||1.141||0.556||0.271||0.453

|-

|35||{{flag|El Salvador}}||6.253||0.794||1.242||0.789||0.430||0.093||0.074

|-

|36||{{flag|Italy}}||6.223||1.294||1.488||1.039||0.231||0.158||0.030

|-

|37||{{flag|Bahrain}}||6.199||1.362||1.368||0.871||0.536||0.255||0.110

|-

|38||{{flag|Slovakia}}||6.198||1.246||1.504||0.881||0.334||0.121||0.014

|-

|39||{{flag|Trinidad & Tobago}}||6.192||1.231||1.477||0.713||0.489||0.185||0.016

|-

|40||{{flag|Poland}}||6.182||1.206||1.438||0.884||0.483||0.117||0.050

|-

|41||{{flag|Uzbekistan}}||6.174||0.745||1.529||0.756||0.631||0.322||0.240

|-

|42||{{flag|Lithuania}}||6.149||1.238||1.515||0.818||0.291||0.043||0.042

|-

|43||{{flag|Colombia}}||6.125||0.985||1.410||0.841||0.470||0.099||0.034

|-

|44||{{flag|Slovenia}}||6.118||1.258||1.523||0.953||0.564||0.144||0.057

|-

|45||{{flag|Nicaragua}}||6.105||0.694||1.325||0.835||0.435||0.200||0.127

|-

|46||{{flag|Kosovo}}||6.100||0.882||1.232||0.758||0.489||0.262||0.006

|-

| 47||{{flag|Argentina}}||6.086||1.092||1.432||0.881||0.471||0.066||0.050

|-

|48||{{flag|Romania}}||6.070||1.162||1.232||0.825||0.462||0.083||0.005

|-

|49||{{flag|Cyprus}}||6.046||1.263||1.223||1.042||0.406||0.190 ||0.041

|-

|50||{{flag|Ecuador}}||6.028||0.912||1.312||0.868||0.498||0.126||0.087

|-

|51||{{flag|Kuwait}}||6.011||1.050||1.409||0.828||0.557||0.359||0.028

|-

|52||{{flag|Thailand}}||6.008||1.050||1.409||0.828||0.557||0.359||0.028

|-

|53||{{flag|Latvia}}||5.940||1.187||1.465||0.812||0.264||0.075||0.064

|-

|54||{{flag|South Korea}}||5.895||1.301||1.219||1.036||0.159||0.175||0.056

|-

|55||{{flag|Estonia}}||5.893||1.237||1.528||0.874||0.495||0.103||0.161

|-

|56||{{flag|Jamaica}}||5.890||0.831||1.478||0.831||0.490||0.107||0.028

|-

|57||{{flag|Mauritius}}||5.888||1.120||1.402||0.798||0.498||0.215||0.060

|-

|58||{{flag|Japan}}||5.886||1.327||1.419||1.088||0.445||0.069||0.140

|-

|59||{{flag|Honduras}}||5.860||0.642||1.236||0.828||0.507||0.246||0.078

|-

|60||{{flag|Kazakhstan}}||5.809||1.173||1.508||0.729||0.410||0.146||0.096

|-

|61||{{flag|Bolivia}}||5.779||0.776||1.209||0.706||0.511||0.137||0.064

|-

|62||{{flag|Hungary}}||5.758||1.201||1.410||0.828||0.199||0.081||0.020

|-

|63||{{flag|Paraguay}}||5.743||0.855||1.475||0.777||0.514||0.184||0.080

|-

|64||{{flag|Northern Cyprus}}||5.718||1.263||1.252||1.042||0.417||0.191||0.162

|-

|65||{{flag|Peru}}||5.697||0.960||1.274||0.854||0.455||0.083||0.027

|-

|66||{{flag|Portugal}}||5.693||1.221||1.431||0.999||0.508||0.047||0.025

|-

|67||{{flag|Pakistan}}||5.653||0.677||0.886||0.535||0.313||0.220||0.098

|-

|68||{{flag|Russia}}||5.648||1.183||1.452||0.726||0.334||0.082||0.031

|-

|69||{{flag|Philippines}}||5.631||0.807||1.293||0.657||0.558||0.117||0.107

|-

|70||{{flag|Serbia}}||5.603||1.004||1.383||0.854||0.282||0.137||0.039

|-

|71||{{flag|Moldova}}||5.529||0.685||1.328||0.739||0.245||0.181||0.000

|-

|72||{{flag|Libya}}||5.525||1.044||1.303||0.673||0.416||0.133||0.152

|-

|73||{{flag|Montenegro}}||5.523||1.051||1.361||0.871||0.197||0.142||0.080

|-

|74||{{flag|Tajikistan}}||5.467||0.493||1.098||0.718||0.389||0.230||0.144

|-

| 75||{{flag|Croatia}}||5.432||1.155||1.266||0.914||0.296||0.119||0.022

|-

|76||{{flag|Hong Kong}}||5.430||1.438||1.277||1.122||0.440||0.258||0.287

|-

| 77||{{flag|Dominican Republic}}||5.425||1.015||1.401||0.779||0.497||0.113||0.101

|-

| 78||{{flag|Bosnia and Herzegovina}}||5.386||0.945||1.212||0.845||0.212||0.263||0.006

|-

|79||{{flag|Turkey}}||5.373||1.183||1.360||0.808||0.195||0.083 ||0.106

|-

|80||{{flag|Malaysia}}||5.339||1.221||1.171||0.828||0.508||0.260||0.024

|-

|81||{{flag|Belarus}}||5.323||1.067||1.465||0.789||0.235||0.094||0.142

|-

|82||{{flag|Greece}}||5.287||1.181||1.156||0.999||0.067||0.000||0.034

|-

|83||{{flag|Mongolia}}||5.285||0.948||1.531||0.667||0.317||0.235||0.038

|-

|84||{{flag|North Macedonia}}||5.274||0.983||1.294||0.838||0.345||0.185||0.034

|-

|85||{{flag|Nigeria}}||5.265||0.696||1.111||0.245||0.426||0.215||0.041

|-

|86||{{flag|Kyrgyzstan}}||5.261||0.551||1.438||0.723||0.508||0.300||0.023

|-

|87||{{flag|Turkmenistan}}||5.247||1.052||1.538||0.657||0.394||0.244||0.028

|-

|88||{{flag|Algeria}}||5.211||1.002||1.160||0.785||0.086||0.073||0.114

|-

|89||{{flag|Morocco}}||5.208||0.801||0.782||0.782||0.418||0.036||0.076

|-

|90||{{flag|Azerbaijan}}||5.208||1.043||1.147||0.769||0.351||0.035||0.182

|-

|91||{{flag|Lebanon}}||5.197||0.987||1.224||0.815||0.216||0.166||0.027

|-

|92||{{flag|Indonesia}}||5.192||0.931||1.203||0.660||0.491||0.498||0.028

|-

|93||{{flag|China}}||5.191||1.029||1.125||0.893||0.521||0.058||0.100

|-

|94||{{flag|Vietnam}}||5.175||0.741||1.346||0.851||0.543||0.147||0.073

|-

|95||{{flag|Bhutan}}||5.082||0.813||1.321||0.604||0.457||0.370||0.167

|-

|96||{{flag|Cameroon}}||5.044||0.549||0.910||0.331||0.381||0.187||0.037

|-

|97||{{flag|Bulgaria}}||5.011||1.092||1.513||0.815||0.311||0.081||0.004

|-

|98||{{flag|Ghana}}||4.996||0.611||0.868||0.486||0.381||0.245||0.040

|-

|99||{{flag|Ivory Coast}}||4.944||0.569||0.808||0.232||0.352||0.154||0.090

|-

|100||{{flag|Nepal}}||4.913||0.446||1.226||0.677||0.439||0.285||0.089

|-

|101||{{flag|Jordan}}||4.906||0.837||1.225||0.815||0.383||0.110||0.130

|-

|102||{{flag|Benin}}||4.883||0.393||0.437||0.397||0.349||0.175||0.082

|-

|103||{{flag|Congo (Brazzaville)}}||4.812||0.673||0.799||0.508||0.372||0.105||0.093

|-

|104||{{flag|Gabon}}||4.799||1.057||1.183||0.571||0.295||0.043||0.055

|-

|105||{{flag|Laos}}||4.796||0.764||1.030||0.551||0.547||0.266||0.164

|-

|106||{{flag|South Africa}}||4.722||0.960||1.351||0.469||0.389||0.130||0.055

|-

|107||{{flag|Albania}}||4.719||0.947||0.848||0.874||0.383||0.178||0.027

|-

|108||{{flag|Venezuela}}||4.707||0.960||1.427||0.805||0.154||0.064||0.047

|-

|109||{{flag|Cambodia}}||4.700||0.574||1.122||0.637||0.609||0.232||0.062

|-

| 110||{{flag|Palestinian Territories}}||4.696||0.657||1.247||0.672||0.225||0.103||0.066

|-

| 111||{{flag|Senegal}}||4.681||0.450||1.134||0.571||0.292||0.153||0.072

|-

| 112||{{flag|Somalia}}||4.668||0.000||0.698||0.268||0.559||0.243||0.270

|-

|113||{{flag|Namibia}}||4.639||0.879||1.313||0.477||0.401||0.070||0.056

|-

|114||{{flag|Niger}}||4.628||0.138||0.774||0.366||0.318||0.188||0.102

|-

|115||{{flag|Burkina Faso}}||4.587||0.331||1.056||0.380||0.255||0.177||0.113

|-

|116||{{flag|Armenia}}||4.559||0.850||1.055||0.815||0.283||0.095||0.064

|-

| 117||{{flag|Iran}}||4.548||1.100||0.842||0.785||0.305||0.270||0.125

|-

|118||{{flag|Guinea}}||4.534||0.380||0.829||0.375||0.332||0.207||0.086

|-

|119||{{flag|Georgia}}||4.519||0.886||0.666||0.752||0.346||0.043||0.164

|-

|120||{{flag|Gambia}}||4.516||0.308||0.939||0.428||0.382||0.269||0.167

|-

|121||{{flag|Kenya}}||4.509||0.512||0.983||0.581||0.431||0.372||0.053

|-

|122||{{flag|Mauritania}}||4.490||0.570||1.167||0.489||0.066||0.106||0.088

|-

|123||{{flag|Mozambique}}||4.466||0.204||0.986||0.390||0.494||0.197||0.138

|-

| 124||{{flag|Tunisia}}||4.461||0.921||1.000||0.815||0.167||0.059||0.055

|-

| 125||{{flag|Bangladesh}}||4.456||0.562||0.928||0.723||0.527||0.166||0.143

|-

| 126||{{flag|Iraq}}||4.437||1.043||0.980||0.574||0.241||0.148||0.089

|-

|127||{{flag|Congo (Kinshasa)}}||4.418||0.094||1.125||0.357||0.269||0.212||0.053

|-

| 128||{{flag|Mali}}||4.390||0.385||1.105||0.308||0.327||0.153||0.052

|-

| 129||{{flag|Sierra Leone}}||4.374||0.268||0.841||0.242||0.309||0.252||0.045

|-

| 130||{{flag|Sri Lanka}}||4.366||0.949||1.265||0.831||0.470||0.244||0.047

|-

| 131||{{flag|Myanmar}}||4.360||0.710||1.181||0.555||0.525||0.566||0.172

|-

| 132||{{flag|Chad}}||4.350||0.350||0.766||0.192||0.174||0.198||0.078

|-

|133||{{flag|Ukraine}}||4.332||0.820||1.390||0.739||0.178||0.187||0.010

|-

| 134||{{flag|Ethiopia}}||4.286||0.336||1.033||0.532||0.344||0.209||0.100

|-

|135||{{flag|Eswatini}}||4.212||0.811||1.149||0.000||0.313||0.074||0.135

|-

| 136||{{flag|Uganda}}||4.189||0.332||1.069||0.443||0.356||0.252||0.060

|-

| 137||{{flag|Egypt}}||4.166||0.913||1.039||0.644||0.241||0.076||0.067

|-

| 138||{{flag|Zambia}}||4.107||0.578||1.058||0.426||0.431||0.247||0.087

|-

| 139||{{flag|Togo}}||4.085||0.275||0.572||0.410||0.293||0.177||0.085

|-

| 140||{{flag|India}}||4.015||0.755||0.765||0.588||0.498||0.200||0.085

|-

|141||{{flag|Liberia}}||3.975||0.073||0.922||0.443||0.370||0.233||0.033

|-

|142||{{flag|Comoros}}||3.973||0.274||0.757||0.505||0.142||0.275||0.078

|-

| 143||{{flag|Madagascar}}||3.933||0.274||0.916||0.555||0.148||0.169||0.041

|-

| 144||{{flag|Lesotho}}||3.802||0.489||1.169||0.168||0.359||0.107||0.093

|-

|145||{{flag|Burundi}}||3.775||0.046||0.447||0.380||0.220||0.176||0.180

|-

| 146||{{flag|Zimbabwe}}||3.663||0.366||1.114||0.433||0.361||0.151||0.089

|-

|147||{{flag|Haiti}}||3.597||0.323||0.688||0.449||0.026||0.419||0.110

|-

| 148||{{flag|Botswana}}||3.488||1.041||1.145||0.538||0.455||0.025||0.100

|-

|149||{{flag|Syria}}||3.462||0.619||0.378||0.440||0.013||0.331||0.141

|-

| 150||{{flag|Malawi}}||3.410||0.191||0.560||0.495||0.443||0.218||0.089

|-

| 151||{{flag|Yemen}}||3.380||0.287||1.163||0.463||0.143||0.108||0.077

|-

| 152||{{flag|Rwanda}}||3.334||0.359||0.711||0.614||0.555||0.217||0.411

|-

| 153||{{flag|Tanzania}}||3.231||0.476||0.885||0.499||0.417||0.276||0.147

|-

| 154||{{flag|Afghanistan}}||3.203||0.350||0.517||0.361||0.000||0.158||0.025

|-

| 155||{{flag|Central African Republic}}||3.083||0.026||0.000||0.105||0.225||0.235||0.035

|-

| 156||{{flag|South Sudan}}||2.853||0.306||0.575||0.295||0.010||0.202||0.091

|}

{{collapse bottom}}

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 [http://worldhappiness.report/ed/2018/ 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.

{{collapse top|title=Table}}

class="wikitable sortable"
valign=top ! style="width: 10px;" | Overall rank ! style="width: 250px;" | Country or region ! {{abbr|Score|Happiness score}} ! style="width: 10px;" | {{abbr|GDP per capita|Explained by: GDP }} ! style="width: 10px;" | {{abbr|Social support|Explained by: Social support}} ! style="width: 10px;" | {{abbr|Freedom to make life choices|Explained by: Freedom to make life choices}} ! style="width: 10px;" | {{abbr|Generosity|Explained by: Generosity}} ! style="width: 10px;" | {{abbr|Perceptions of corruption|Explained by: Perceptions of corruption}}
1	{{flag|Finland}}	7.632	1.305	1.592	0.874	0.681	0.202	0.393
2	{{flag|Norway}}	7.594	1.456	1.582	0.861	0.686	0.286	0.340
3	{{flag|Denmark}}	7.555	1.351	1.590	0.868	0.683	0.284	0.408
4	{{flag|Iceland}}	7.495	1.343	1.644	0.914	0.677	0.353	0.138
5	{{flag|Switzerland}}	7.487	1.420	1.549	0.927	0.660	0.256	0.357
6	{{flag|Netherlands}}	7.441	1.361	1.488	0.878	0.638	0.333	0.295
7	{{flag|Canada}}	7.328	1.330	1.532	0.896	0.653	0.321	0.291
8	{{flag|New Zealand}}	7.324	1.268	1.601	0.876	0.669	0.365	0.389
9	{{flag|Sweden}}	7.314	1.355	1.501	0.913	0.659	0.285	0.383
10	{{flag|Australia}}	7.272	1.340	1.573	0.910	0.647	0.361	0.302
11	{{flag| United Kingdom}}	7.190	1.244	1.433	0.888	0.464	0.262	0.082
12	{{flag|Austria}}	7.139	1.341	1.504	0.891	0.617	0.242	0.224
13	{{flag|Costa Rica}}	7.072	1.010	1.459	0.817	0.632	0.143	0.101
14	{{flag|Ireland

}||6.977||1.448||1.583||0.876||0.614||0.307||0.306

|-

| 15||{{flag|Germany}}||6.965||1.340||1.474||0.861||0.586||0.273||0.280

|-

| 16||{{flag|Belgium}}||6.927||1.324||1.483||0.894||0.583||0.188||0.240

|-

| 17||{{flag|Luxembourg}}||6.910||1.576||1.520||0.896||0.632||0.196||0.321

|-

| 18||{{flag|United States}}||6.886||1.398||1.471||0.819||0.547||0.291||0.133

|-

| 19||{{flag|Israel}}||6.814||1.301||1.559||0.883||0.533||0.354||0.272

|-

| 20||{{flag|United Arab Emirates}}||6.774||2.096||0.776||0.670||0.284||0.186||N/A

|-

| 21||{{flag|Czech Republic}}||6.711||1.233||1.489||0.854||0.543||0.064||0.034

|-

| 22||{{flag|Malta}}||6.627||1.270||1.525||0.884||0.645||0.376||0.142

|-

| 23||{{flag|France|}}||6.489||1.293||1.466||0.908||0.520||0.098||0.176

|-

| 24||{{flag|Mexico}}||6.488||1.038||1.252||0.761||0.479||0.069||0.095

|-

| 25||{{flag|Chile}}||6.476||1.131||1.331||0.808||0.431||0.197||0.061

|-

| 26||{{Flag|Taiwan}}||6.441||1.365||1.436||0.857||0.418||0.151||0.078

|-

| 27||{{flag|Panama}}||6.430||1.112||1.438||0.759||0.597||0.125||0.063

|-

| 28||{{flag|Brazil}}||6.419||0.986||1.474||0.675||0.493||0.110||0.088

|-

| 29||{{flag|Argentina}}||6.388||1.073||1.468||0.744||0.570||0.062||0.054

|-

| 30||{{flag|Guatemala}}||6.382||0.781||1.268||0.608||0.604||0.179||0.071

|-

| 31||{{flag|Uruguay}}||6.379||1.093||1.459||0.771||0.625||0.130||0.155

|-

| 32||{{flag|Qatar}}||6.374||1.649||1.303||0.748||0.654||0.256||0.171

|-

| 33||{{flag|Saudi Arabia}}||6.371||1.379||1.331||0.633||0.509||0.098||0.127

|-

|34||{{flag|Singapore}}||6.343||1.529||1.451||1.008||0.631||0.261||0.457

|-

|35||{{flag|Malaysia}}||6.322||1.161||1.258||0.669||0.356||0.311||0.059

|-

|36||{{flag|Spain}}||6.310||1.251||1.538||0.965||0.449||0.142||0.074

|-

|37||{{flag|Colombia}}||6.260||0.960||1.439||0.635||0.531||0.099||0.039

|-

|38||{{flag|Trinidad & Tobago}}||6.192||1.223||1.492||0.564||0.575||0.171||0.019

|-

|39||{{flag|Slovakia}}||6.173||1.210||1.537||0.776||0.354||0.118||0.014

|-

|40||{{flag|El Salvador}}||6.167||0.806||1.231||0.639||0.461||0.065||0.082

|-

|41||{{flag|Nicaragua}}||6.141||0.668||1.319||0.700||0.527||0.208||0.128

|-

|42||{{flag|Poland}}||6.123||1.176||1.448||0.781||0.546||0.108||0.064

|-

|43||{{flag|Bahrain}}||6.105||1.338||1.366||0.698||0.594||0.243||0.123

|-

|44||{{flag|Uzbekistan}}||6.096||0.719||1.584||0.605||0.724||0.328||0.259

|-

|45||{{flag|Kuwait}}||6.083||1.474||1.301||0.675||0.554||0.167||0.106

|-

|46||{{flag|Thailand}}||6.072||1.016||1.417||0.707||0.637||0.364||0.029

|-

|47||{{flag|Italy}}||6.000||1.264||1.501||0.946||0.281||0.137||0.028

|-

|48||{{flag|Ecuador}}||5.973||0.889||1.330||0.736||0.556||0.114||0.120

|-

|49||{{flag|Belize}}||5.956||0.807||1.101||0.474||0.593||0.183||0.089

|-

|50||{{flag|Lithuania}}||5.952||1.197||1.527||0.716||0.350||0.026||0.006

|-

|51||{{flag|Slovenia}}||5.948||1.219||1.506||0.856||0.633||0.160||0.051

|-

|52||{{flag|Romania}}||5.945||1.116||1.219||0.726||0.528||0.088||0.001

|-

|53||{{flag|Latvia}}||5.933||1.148||1.454||0.671||0.363||0.092||0.066

|-

|54||{{flag|Japan}}||5.915||1.294||1.462||0.988||0.553||0.079||0.150

|-

|55||{{flag|Mauritius}}||5.891||1.090||1.387||0.684||0.584||0.245||0.050

|-

|56||{{flag|Jamaica}}||5.890||0.819||1.493||0.693||0.575||0.096||0.031

|-

|57||{{flag|South Korea}}||5.875||1.266||1.204||0.955||0.244||0.175||0.051

|-

|58||{{flag|Northern Cyprus}}||5.835||1.229||1.211||0.909||0.495||0.179||0.154

|-

|59||{{flag|Russia}}||5.810||1.151||1.479||0.599||0.399||0.065||0.025

|-

|60||{{flag|Kazakhstan}}||5.790||1.143||1.516||0.631||0.454||0.148||0.121

|-

|61||{{flag|Cyprus}}||5.762||1.229||1.191||0.909||0.423||0.202 ||0.035

|-

|62||{{flag|Bolivia}}||5.752||0.751||1.223||0.508||0.606||0.141||0.054

|-

|63||{{flag|Estonia}}||5.739||1.200||1.532||0.737||0.553||0.086||0.174

|-

|64||{{flag|Paraguay}}||5.681||0.835||1.522||0.615||0.541||0.162||0.074

|-

|65||{{flag|Peru}}||5.663||0.934||1.249||0.674||0.530||0.092||0.034

|-

|66||{{flag|Kosovo}}||5.662||0.855||1.230||0.578||0.448||0.274||0.023

|-

|67||{{flag|Moldova}}||5.640||0.657||1.301||0.620||0.232||0.171||0.000

|-

|68||{{flag|Turkmenistan}}||5.636||1.016||1.533||0.517||0.417||0.199||0.037

|-

|69||{{flag|Hungary}}||5.620||1.171||1.401||0.732||0.259||0.061||0.022

|-

|70||{{flag|Libya}}||5.566||0.985||1.350||0.553||0.496||0.116||0.148

|-

|71||{{flag|Philippines}}||5.524||0.775||1.312||0.513||0.643||0.120||0.105

|-

|72||{{flag|Honduras}}||5.504||0.620||1.205||0.622||0.459||0.197||0.074

|-

|73||{{flag|Belarus}}||5.483||1.039||1.498||0.700||0.307||0.101||0.154

|-

|74||{{flag|Turkey}}||5.483||1.148||1.380||0.686||0.324||0.106 ||0.109

|-

|75||{{flag|Pakistan}}||5.472||0.652||0.810||0.424||0.334||0.216||0.113

|-

|76||{{flag|Hong Kong}}||5.430||1.405||1.290||1.030||0.524||0.246||0.291

|-

|77||{{flag|Portugal}}||5.410||1.188||1.429||0.884||0.562||0.055||0.017

|-

|78||{{flag|Serbia}}||5.398||0.975||1.369||0.685||0.288||0.134||0.043

|-

| 79||{{flag|Greece}}||5.358||1.154||1.202||0.879||0.131||0.000||0.044

|-

| 80||File:Flag of Lebanon.svgLebanon||5.358||0.965||1.179||0.785||0.503||0.214||0.136

|-

| 81||{{flag|Montenegro}}||5.347||1.017||1.279||0.729||0.259||0.111||0.081

|-

| 82||{{flag|Croatia}}||5.321||1.115||1.161||0.737||0.380||0.120||0.039

|-

| 83||{{flag|Dominican Republic}}||5.302||0.982||1.441||0.614||0.578||0.120||0.106

|-

| 84||{{flag|Algeria}}||5.295||0.979||1.154||0.687||0.077||0.055||0.135

|-

| 85||{{flag|Morocco}}||5.254||0.779||0.797||0.669||0.460||0.026||0.074

|-

| 86||{{flag|China}}||5.246||0.989||1.142||0.799||0.597||0.029||0.103

|-

| 87||{{flag|Azerbaijan}}||5.201||1.024||1.161||0.603||0.430||0.031||0.176

|-

| 88||File:Flag of Tajikistan (3-2).svgTajikistan||5.199||0.474||1.166||0.598||0.292||0.187||0.034

|-

| 89||{{flag|Macedonia}}||5.185||0.959||1.239||0.691||0.394||0.173||0.052

|-

| 90||{{flag|Jordan}}||5.161||0.822||1.265||0.645||0.468||0.130||0.134

|-

| 91||{{flag|Nigeria}}||5.155||0.689||1.172||0.048||0.462||0.201||0.032

|-

| 92||{{flag|Kyrgyzstan}}||5.131||0.530||1.416||0.594||0.540||0.281||0.035

|-

| 93||{{flag|Bosnia and Herzegovina}}||5.129||0.915||1.078||0.758||0.280||0.216||0.000

|-

| 94||{{flag|Mongolia}}||5.125||0.914||1.517||0.575||0.395||0.253||0.032

|-

| 95||{{flag|Vietnam}}||5.103||0.715||1.365||0.702||0.618||0.177||0.079

|-

| 96||{{flag|Indonesia}}||5.093||0.899||1.215||0.522||0.538||0.484||0.018

|-

| 97||{{flag|Bhutan}}||5.082||0.796||1.335||0.527||0.541||0.364||0.171

|-

| 98||{{flag|Somalia}}||4.982||0.000||0.712||0.115||0.674||0.238||0.282

|-

| 99||{{flag|Cameroon}}||4.975||0.535||0.891||0.182||0.454||0.183||0.043

|-

| 100||{{flag|Bulgaria}}||4.933||1.054||1.515||0.712||0.359||0.064||0.009

|-

| 101||{{flag|Nepal}}||4.880||0.425||1.228||0.539||0.526||0.302||0.078

|-

| 102||{{flag|Venezuela}}||4.806||0.996||1.469||0.657||0.133||0.056||0.052

|-

| 103||{{flag|Gabon}}||4.758||1.036||1.164||0.404||0.356||0.032||0.052

|-

| 104||{{flag|Palestinian Territories}}||4.743||0.642||1.217||0.602||0.266||0.086||0.076

|-

| 105||{{flag|South Africa}}||4.724||0.940||1.410||0.330||0.516||0.103||0.056

|-

| 106||{{flag|Iran}}||4.707||1.059||0.771||0.691||0.459||0.282||0.129

|-

| 107||{{flag|Ivory Coast}}||4.671||0.541||0.872||0.080||0.467||0.146||0.103

|-

| 108||{{flag|Ghana}}||4.657||0.592||0.896||0.337||0.499||0.212||0.029

|-

| 109||{{flag|Senegal}}||4.631||0.429||1.117||0.433||0.406||0.138||0.082

|-

| 110||{{flag|Laos}}||4.623||0.720||1.034||0.441||0.626||0.230||0.174

|-

| 111||{{flag|Tunisia}}||4.592||0.900||0.906||0.690||0.271||0.040||0.063

|-

| 112||{{flag|Albania}}||4.586||0.916||0.817||0.790||0.419||0.149||0.032

|-

| 113||{{flag|Sierra Leone}}||4.571||0.256||0.813||0.000||0.355||0.238||0.053

|-

| 114||{{flag|Congo (Brazzaville)}}||4.559||0.682||0.811||0.343||0.514||0.091||0.077

|-

| 115||{{flag|Bangladesh}}||4.500||0.532||0.850||0.579||0.580||0.153||0.144

|-

| 116||{{flag|Sri Lanka}}||4.471||0.918||1.314||0.672||0.585||0.307||0.050

|-

| 117||{{flag|Iraq}}||4.456||1.010||0.971||0.536||0.304||0.148||0.095

|-

| 118||{{flag|Mali}}||4.447||0.370||1.233||0.152||0.367||0.139||0.056

|-

| 119||{{flag|Namibia}}||4.441||0.874||1.281||0.365||0.519||0.051||0.064

|-

| 120||{{flag|Cambodia}}||4.433||0.549||1.088||0.457||0.696||0.256||0.065

|-

| 121||{{flag|Burkina Faso}}||4.424||0.314||1.097||0.254||0.312||0.175||0.128

|-

| 122||{{flag|Egypt}}||4.419||0.885||1.025||0.553||0.312||0.092||0.107

|-

| 123||{{flag|Mozambique}}||4.417||0.198||0.902||0.173||0.531||0.206||0.158

|-

| 124||{{flag|Kenya}}||4.410||0.493||1.048||0.454||0.504||0.352||0.055

|-

| 125||{{flag|Zambia}}||4.377||0.562||1.047||0.295||0.503||0.221||0.082

|-

| 126||{{flag|Mauritania}}||4.356||0.557||1.245||0.292||0.129||0.134||0.093

|-

| 127||{{flag|Ethiopia}}||4.350||0.308||0.950||0.391||0.452||0.220||0.146

|-

| 128||{{flag|Georgia}}||4.340||0.853||0.592||0.643||0.375||0.038||0.215

|-

| 129||{{flag|Armenia}}||4.321||0.816||0.990||0.666||0.260||0.077||0.028

|-

| 130||{{flag|Myanmar}}||4.308||0.682||1.174||0.429||0.580||0.598||0.178

|-

| 131||{{flag|Chad}}||4.301||0.358||0.907||0.053||0.189||0.181||0.060

|-

| 132||{{flag|Congo (Kinshasa)}}||4.245||0.069||1.136||0.204||0.312||0.197||0.052

|-

| 133||{{flag|India}}||4.190||0.721||0.747||0.485||0.539||0.172||0.093

|-

| 134||{{flag|Niger}}||4.166||0.131||0.867||0.221||0.390||0.175||0.099

|-

| 135||{{flag|Uganda}}||4.161||0.322||1.090||0.237||0.450||0.259||0.061

|-

| 136||{{flag|Benin}}||4.141||0.378||0.372||0.240||0.440||0.163||0.067

|-

| 137||{{flag|Sudan}}||4.139||0.605||1.240||0.312||0.016||0.134||0.082

|-

| 138||{{flag|Ukraine}}||4.103||0.793||1.413||0.609||0.163||0.187||0.011

|-

| 139||{{flag|Togo}}||3.999||0.259||0.474||0.253||0.434||0.158||0.101

|-

| 140||{{flag|Guinea}}||3.964||0.344||0.792||0.211||0.394||0.185||0.094

|-

| 141||{{flag|Lesotho}}||3.808||0.472||1.215||0.079||0.423||0.116||0.112

|-

| 142||{{flag|Angola}}||3.795||0.730||1.125||0.269||0.000||0.079||0.061

|-

| 143||{{flag|Madagascar}}||3.774||0.262||0.908||0.402||0.221||0.155||0.049

|-

| 144||{{flag|Zimbabwe}}||3.692||0.357||1.094||0.248||0.406||0.132||0.099

|-

| 145||{{flag|Afghanistan}}||3.632||0.332||0.537||0.255||0.085||0.191||0.036

|-

| 146||{{flag|Botswana}}||3.590||1.017||1.174||0.417||0.557||0.042||0.092

|-

| 147||{{flag|Malawi}}||3.587||0.186||0.541||0.306||0.531||0.210||0.080

|-

| 148||{{flag|Haiti}}||3.582||0.315||0.714||0.289||0.025||0.392||0.104

|-

| 149||{{flag|Liberia}}||3.495||0.076||0.858||0.267||0.419||0.206||0.030

|-

| 150||{{flag|Syria}}||3.462||0.689||0.382||0.539||0.088||0.376||0.144

|-

| 151||{{flag|Rwanda}}||3.408||0.332||0.896||0.400||0.636||0.200||0.444

|-

| 152||{{flag|Yemen}}||3.355||0.442||1.073||0.343||0.244||0.083||0.064

|-

| 153||{{flag|Tanzania}}||3.303||0.455||0.991||0.381||0.481||0.270||0.097

|-

| 154||{{flag|South Sudan}}||3.254||0.337||0.608||0.177||0.112||0.224||0.106

|-

| 155||{{flag|Central African Republic}}||3.083||0.024||0.000||0.010||0.305||0.218||0.038

|-

| 156||{{flag|Burundi}}||2.905||0.091||0.627||0.145||0.065||0.149||0.076

|}

{{collapse bottom}}

The [http://worldhappiness.report/ed/2017/ 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.

{{collapse top|title=Table}}

Table of data for 2017:{{cite book|last1=Helliwell|first1=J.|last2=Layard|first2=R.|last3=Sachs|first3=J.|title=World Happiness Report 2017|date=2017|publisher=Sustainable Development Solutions Network|location=New York|isbn=978-0-9968513-5-0|url=http://worldhappiness.report/wp-content/uploads/sites/2/2017/03/online-data-chapter-2-whr-2017.xlsx|access-date=2017-03-21|archive-date=2017-10-09|archive-url=https://web.archive.org/web/20171009193635/http://worldhappiness.report/wp-content/uploads/sites/2/2017/03/online-data-chapter-2-whr-2017.xlsx|url-status=dead}}

class="wikitable sortable"
valign=top ! style="width: 10px;" | Overall Rank ! style="width: 10px;" | Change in rank ! style="width: 250px;" | Country ! {{abbr|Score|Happiness score}} ! style="width: 10px;" | Change in score ! style="width: 10px;" | {{abbr|GDP per capita|Explained by: GDP }} ! style="width: 10px;" | {{abbr|Social support|Explained by: Social support}} ! style="width: 10px;" | {{abbr|Healthy life expectancy|Explained by: Healthy life expectancy}} ! style="width: 10px;" | {{abbr|Freedom to make life choices|Explained by: Freedom to make life choices}} ! style="width: 10px;" | {{abbr|Generosity|Explained by: Generosity}} ! style="width: 10px;" | {{abbr|Trust|Explained by: Perceptions of corruption}} ! style="width: 10px;" | {{abbr|Residual|Not explained by preceding factors}}
1	data-sort-value="3"|{{Increase}} 3	{{flag|Norway }}	7.537	data-sort-value="0.039"|{{increase}} 0.039	1.616	1.534	0.797	0.635	0.362	0.316	2.277
2	data-sort-value="-1"|{{decrease}} 1	{{flag|Denmark}}	7.522	data-sort-value="-0.004"|{{decrease}} 0.004	1.482	1.551	0.793	0.626	0.355	0.401	2.314
3	data-sort-value="0"|{{steady}}	{{flag|Iceland}}	7.504	data-sort-value="0.003"|{{increase}} 0.003	1.481	1.611	0.834	0.627	0.476	0.154	2.323
4	data-sort-value="-2"|{{decrease}} 2	{{flag|Switzerland}}	7.494	data-sort-value="-0.015"|{{decrease}} 0.015	1.565	1.517	0.858	0.620	0.291	0.367	2.277
5	data-sort-value="0"|{{steady}}	{{flag|Finland}}	7.469	data-sort-value="0.056"|{{increase}} 0.056	1.444	1.540	0.809	0.618	0.245	0.383	2.430
6	data-sort-value="1"|{{Increase}} 1	{{flag|Netherlands}}	7.377	data-sort-value="0.038"|{{increase}} 0.038	1.504	1.429	0.811	0.585	0.470	0.283	2.295
7	data-sort-value="-1"|{{decrease}} 1	{{flag|Canada}}	7.316	data-sort-value="-0.088"|{{decrease}} 0.088	1.479	1.481	0.835	0.611	0.436	0.287	2.187
8	data-sort-value="0"|{{steady}}	{{flag|New Zealand}}	7.314	data-sort-value="-0.020"|{{decrease}} 0.020	1.406	1.548	0.817	0.614	0.500	0.383	2.046
9	data-sort-value="0"|{{steady}}	{{flag|Australia}}	7.284	data-sort-value="-0.029"|{{decrease}} 0.029	1.484	1.510	0.844	0.602	0.478	0.301	2.065
10	data-sort-value="0"|{{steady}}	{{flag|Sweden}}	7.284	data-sort-value="-0.007"|{{decrease}} 0.007	1.494	1.478	0.831	0.613	0.385	0.384	2.098
11	data-sort-value="0"|{{steady}}	{{flag|Israel}}	7.213	data-sort-value="-0.054"|{{decrease}} 0.054	1.375	1.376	0.838	0.406	0.330	0.085	2.802
12	data-sort-value="2"|{{Increase}} 2	{{flag|Costa Rica}}	7.079	data-sort-value="-0.008"|{{decrease}} 0.008	1.110	1.416	0.760	0.580	0.215	0.100	2.899
13	data-sort-value="-1"|{{decrease}} 1	{{flag|Austria}}	7.006	data-sort-value="-0.113"|{{decrease}} 0.113	1.487	1.460	0.815	0.568	0.316	0.221	2.139
14	data-sort-value="-1"|{{decrease}} 1	{{flag|United States}}	6.993	data-sort-value="-0.111"|{{decrease}} 0.111	1.546	1.420	0.774	0.506	0.393	0.136	2.218
15	data-sort-value="4"|{{Increase}} 4	{{flag|Ireland}}	6.977	data-sort-value="0.070"|{{increase}} 0.070	1.536	1.558	0.810	0.573	0.428	0.298	1.774
16	data-sort-value="0"|{{steady}}	{{flag|Germany}}	6.951	data-sort-value="-0.043"|{{decrease}} 0.043	1.488	1.473	0.799	0.563	0.336	0.277	2.016
17	data-sort-value="1"|{{Increase}} 1	{{flag|Belgium}}	6.891	data-sort-value="-0.038"|{{decrease}} 0.038	1.464	1.462	0.818	0.540	0.232	0.251	2.124
18	data-sort-value="2"|{{Increase}} 2	{{flag|Luxembourg}}	6.863	data-sort-value="-0.008"|{{decrease}} 0.008	1.742	1.458	0.845	0.597	0.283	0.319	1.620
19	data-sort-value="4"|{{Increase}} 4	{{flag|United Kingdom}}	6.714	data-sort-value="-0.011"|{{decrease}} 0.011	1.442	1.496	0.805	0.508	0.493	0.265	1.704
20	data-sort-value="4"|{{Increase}} 4	{{flag|Chile}}	6.652	data-sort-value="-0.053"|{{decrease}} 0.053	1.253	1.284	0.819	0.377	0.327	0.082	2.510
21	data-sort-value="7"|{{Increase}} 7	{{flag|United Arab Emirates}}	6.648	data-sort-value="0.075"|{{increase}} 0.075	1.626	1.266	0.727	0.608	0.361	0.324	1.735
22	data-sort-value="-5"|{{decrease}} 5	{{flag|Brazil}}	6.635	data-sort-value="-0.317"|{{decrease}} 0.317	1.107	1.431	0.617	0.437	0.162	0.111	2.769
23	data-sort-value="4"|{{Increase}} 4	{{flag|Czech Republic}}	6.609	data-sort-value="0.013"|{{increase}} 0.013	1.353	1.434	0.754	0.491	0.088	0.037	2.452
24	data-sort-value="2"|{{Increase}} 2	{{flag|Argentina}}	6.599	data-sort-value="-0.051"|{{decrease}} 0.051	1.185	1.440	0.695	0.495	0.109	0.060	2.614
25	data-sort-value="-4"|{{decrease}} 4	{{flag|Mexico}}	6.578	data-sort-value="-0.200"|{{decrease}} 0.200	1.153	1.211	0.710	0.413	0.121	0.133	2.837
26	data-sort-value="-4"|{{decrease}} 4	{{flag|Singapore}}	6.572	data-sort-value="-0.167"|{{decrease}} 0.167	1.692	1.354	0.949	0.550	0.346	0.464	1.216
27	data-sort-value="3"|{{Increase}} 3	{{flag|Malta}}	6.527	data-sort-value="0.039"|{{increase}} 0.039	1.343	1.488	0.822	0.589	0.575	0.153	1.557
28	data-sort-value="1"|{{Increase}} 1	{{flag|Uruguay}}	6.454	data-sort-value="-0.091"|{{decrease}} 0.091	1.218	1.412	0.719	0.579	0.175	0.178	2.172
29	data-sort-value="10"|{{Increase}} 10	{{flag|Guatemala}}	6.454	data-sort-value="0.130"|{{increase}} 0.130	0.872	1.256	0.540	0.531	0.283	0.077	2.894
30	data-sort-value="-5"|{{decrease}} 5	{{flag|Panama}}	6.452	data-sort-value="-0.249"|{{decrease}} 0.249	1.234	1.373	0.706	0.550	0.211	0.071	2.307
31	data-sort-value="1"|{{Increase}} 1	{{flag|France}}	6.442	data-sort-value="-0.036"|{{decrease}} 0.036	1.431	1.388	0.844	0.470	0.130	0.173	2.006
32	data-sort-value="1"|{{Increase}} 1	{{flag|Thailand}}	6.424	data-sort-value="-0.050"|{{decrease}} 0.050	1.128	1.426	0.647	0.580	0.572	0.032	2.040
33	data-sort-value="2"|{{Increase}} 2	{{flag|Taiwan}}	6.422	data-sort-value="0.043"|{{increase}} 0.043	1.434	1.385	0.794	0.361	0.258	0.064	2.127
34	data-sort-value="3"|{{Increase}} 3	{{flag|Spain}}	6.403	data-sort-value="0.042"|{{increase}} 0.042	1.384	1.532	0.889	0.409	0.190	0.071	1.928
35	data-sort-value="1"|{{Increase}} 1	{{flag|Qatar}}	6.375	data-sort-value="0.000"|{{steady}}	1.871	1.274	0.710	0.604	0.330	0.439	1.145
36	data-sort-value="-5"|{{decrease}} 5	{{flag|Colombia}}	6.357	data-sort-value="-0.124"|{{decrease}} 0.124	1.071	1.402	0.595	0.477	0.149	0.047	2.616
37	data-sort-value="-3"|{{decrease}} 3	{{flag|Saudi Arabia}}	6.344	data-sort-value="-0.035"|{{decrease}} 0.035	1.531	1.287	0.590	0.450	0.148	0.273	2.065
38	data-sort-value="5"|{{Increase}} 5	{{flag|Trinidad and Tobago}}	6.168	data-sort-value="0.000"|{{steady}}	1.361	1.380	0.520	0.519	0.325	0.009	2.053
39	data-sort-value="2"|{{Increase}} 2	{{flag|Kuwait}}	6.105	data-sort-value="-0.134"|{{decrease}} 0.134	1.633	1.260	0.632	0.496	0.228	0.215	1.640
40	data-sort-value="5"|{{Increase}} 5	{{flag|Slovakia}}	6.098	data-sort-value="0.020"|{{increase}} 0.020	1.325	1.505	0.713	0.296	0.137	0.024	2.098
41	data-sort-value="1"|{{Increase}} 1	{{flag|Bahrain}}	6.087	data-sort-value="-0.131"|{{decrease}} 0.131	1.488	1.323	0.653	0.537	0.173	0.257	1.656
42	data-sort-value="5"|{{Increase}} 5	{{flag|Malaysia}}	6.084	data-sort-value="0.079"|{{increase}} 0.079	1.291	1.285	0.619	0.402	0.417	0.066	2.004
—	—|—	{{Flag|Europe}}{{efn|Score not included in the original report, but was attained by adding up Europe's scores and then dividing for an average: 6.08044.}}	6.080	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
43	data-sort-value="5"|{{Increase}} 5	{{flag|Nicaragua}}	6.071	data-sort-value="0.079"|{{increase}} 0.079	0.737	1.287	0.653	0.448	0.302	0.131	2.514
44	data-sort-value="7"|{{Increase}} 7	{{flag|Ecuador}}	6.008	data-sort-value="0.032"|{{increase}} 0.032	1.001	1.286	0.686	0.455	0.150	0.140	2.290
45	data-sort-value="1"|{{Increase}} 1	{{flag|El Salvador}}	6.003	data-sort-value="-0.065"|{{decrease}} 0.065	0.910	1.182	0.596	0.432	0.078	0.090	2.715
46	data-sort-value="11"|{{Increase}} 11	{{flag|Poland}}	5.973	data-sort-value="0.138"|{{increase}} 0.138	1.292	1.446	0.699	0.520	0.158	0.059	1.798
47	data-sort-value="2"|{{Increase}} 2	{{flag|Uzbekistan}}	5.971	data-sort-value="-0.016"|{{decrease}} 0.016	0.786	1.549	0.498	0.658	0.416	0.247	1.817
48	data-sort-value="2"|{{Increase}} 2	{{flag|Italy}}	5.964	data-sort-value="-0.013"|{{decrease}} 0.013	1.395	1.445	0.853	0.256	0.173	0.028	1.813
49	data-sort-value="7"|{{Increase}} 7	{{flag|Russia}}	5.963	data-sort-value="0.107"|{{increase}} 0.107	1.282	1.469	0.547	0.374	0.052	0.033	2.206
50	data-sort-value="2"|{{Increase}} 2	{{flag|Belize}}	5.956	data-sort-value="0.000"|{{steady}}	0.908	1.081	0.450	0.548	0.240	0.097	2.632
51	data-sort-value="2"|{{Increase}} 2	{{flag|Japan}}	5.920	data-sort-value="-0.001"|{{decrease}} 0.001	1.417	1.436	0.913	0.506	0.121	0.164	1.363
52	data-sort-value="8"|{{Increase}} 8	{{flag|Lithuania}}	5.902	data-sort-value="0.089"|{{increase}} 0.089	1.315	1.474	0.629	0.234	0.010	0.012	2.228
53	data-sort-value="-15"|{{decrease}} 15	{{flag|Algeria}}	5.872	data-sort-value="-0.483"|{{decrease}} 0.483	1.092	1.146	0.618	0.233	0.069	0.146	2.568
54	data-sort-value="14"|{{Increase}} 14	{{flag|Latvia}}	5.850	data-sort-value="0.290"|{{increase}} 0.290	1.261	1.405	0.639	0.326	0.153	0.074	1.994
55	data-sort-value="0"|{{steady}}	{{flag|Moldova}}	5.838	data-sort-value="-0.059"|{{decrease}} 0.059	0.729	1.252	0.589	0.241	0.209	0.010	2.808
56	data-sort-value="2"|{{Increase}} 2	{{flag|South Korea}}	5.838	data-sort-value="0.003"|{{increase}} 0.003	1.402	1.128	0.900	0.258	0.207	0.063	1.880
57	data-sort-value="14"|{{Increase}} 14	{{flag|Romania}}	5.825	data-sort-value="0.297"|{{increase}} 0.297	1.218	1.150	0.685	0.457	0.134	0.004	2.177
58	data-sort-value="1"|{{Increase}} 1	{{flag|Bolivia}}	5.823	data-sort-value="0.001"|{{increase}} 0.001	0.834	1.228	0.474	0.559	0.226	0.060	2.443
59	data-sort-value="6"|{{Increase}} 6	{{flag|Turkmenistan}}	5.822	data-sort-value="0.164"|{{increase}} 0.164	1.131	1.493	0.438	0.418	0.250	0.259	1.833
60	data-sort-value="-6"|{{decrease}} 6	{{flag|Kazakhstan}}	5.819	data-sort-value="-0.100"|{{decrease}} 0.100	1.285	1.384	0.606	0.437	0.202	0.119	1.785
61	data-sort-value="1"|{{Increase}} 1	{{flag|North Cyprus}}	5.810	data-sort-value="0.039"|{{increase}} 0.039	1.347	1.186	0.835	0.471	0.267	0.155	1.549
62	data-sort-value="1"|{{Increase}} 1	{{flag|Slovenia}}	5.758	data-sort-value="-0.010"|{{decrease}} 0.010	1.341	1.453	0.791	0.573	0.243	0.045	1.313
63	data-sort-value="1"|{{Increase}} 1	{{flag|Peru}}	5.715	data-sort-value="-0.028"|{{decrease}} 0.028	1.035	1.219	0.630	0.450	0.127	0.047	2.207
64	data-sort-value="2"|{{Increase}} 2	{{flag|Mauritius}}	5.629	data-sort-value="-0.019"|{{decrease}} 0.019	1.189	1.210	0.638	0.491	0.361	0.042	1.698
65	data-sort-value="4"|{{Increase}} 4	{{flag|Cyprus}}	5.621	data-sort-value="0.075"|{{increase}} 0.075	1.356	1.131	0.845	0.355	0.271	0.041	1.621
66	data-sort-value="6"|{{Increase}} 6	{{flag|Estonia}}	5.611	data-sort-value="0.094"|{{increase}} 0.094	1.321	1.477	0.695	0.479	0.099	0.183	1.358
67	data-sort-value="-6"|{{decrease}} 6	{{flag|Belarus}}	5.569	data-sort-value="-0.233"|{{decrease}} 0.233	1.157	1.445	0.638	0.295	0.155	0.156	1.723
68	data-sort-value="-1"|{{decrease}} 1	{{flag|Libya}}	5.525	data-sort-value="-0.090"|{{decrease}} 0.090	1.102	1.358	0.520	0.466	0.152	0.093	1.835
69	data-sort-value="9"|{{Increase}} 9	{{flag|Turkey}}	5.500	data-sort-value="0.111"|{{increase}} 0.111	1.198	1.338	0.638	0.301	0.047	0.100	1.879
70	data-sort-value="0"|{{steady}}	{{flag|Paraguay}}	5.493	data-sort-value="-0.045"|{{decrease}} 0.045	0.933	1.507	0.579	0.474	0.224	0.091	1.685
71	data-sort-value="4"|{{Increase}} 4	{{flag|Hong Kong}}	5.472	data-sort-value="0.014"|{{increase}} 0.014	1.552	1.263	0.943	0.491	0.374	0.294	0.555
72	data-sort-value="10"|{{Increase}} 10	{{flag|Philippines}}	5.430	data-sort-value="0.151"|{{increase}} 0.151	0.858	1.254	0.468	0.585	0.194	0.099	1.973
73	data-sort-value="13"|{{Increase}} 13	{{flag|Serbia}}	5.395	data-sort-value="0.218"|{{increase}} 0.218	1.069	1.258	0.651	0.209	0.220	0.041	1.947
74	data-sort-value="6"|{{Increase}} 6	{{flag|Jordan}}	5.336	data-sort-value="0.033"|{{increase}} 0.033	0.991	1.239	0.605	0.418	0.172	0.120	1.791
75	data-sort-value="16"|{{Increase}} 16	{{flag|Hungary}}	5.324	data-sort-value="0.179"|{{increase}} 0.179	1.286	1.343	0.688	0.176	0.078	0.037	1.716
76	data-sort-value="-3"|{{decrease}} 3	{{flag|Jamaica}}	5.311	data-sort-value="-0.199"|{{decrease}} 0.199	0.926	1.368	0.641	0.474	0.234	0.055	1.612
—	—|—	{{Flagdeco|United Nations}} World	5.305{{efn|Score not included in the original report, but was attained by adding up all the scores and then dividing for an average: 5.3053935483871.}}	N/A	N/A	N/A	N/A	N/A	N/A	N/A	N/A
77	data-sort-value="-3"|{{decrease}} 3	{{flag|Croatia}}	5.293	data-sort-value="-0.195"|{{decrease}} 0.195	1.223	0.968	0.701	0.256	0.248	0.043	1.854
78	data-sort-value="-1"|{{decrease}} 1	{{flag|Kosovo}}	5.279	data-sort-value="-0.122"|{{decrease}} 0.122	0.951	1.138	0.541	0.260	0.320	0.057	2.011
79	data-sort-value="4"|{{Increase}} 4	{{flag|China}}	5.273	data-sort-value="0.028"|{{increase}} 0.028	1.081	1.161	0.741	0.473	0.029	0.023	1.765
80	data-sort-value="12"|{{Increase}} 12	{{flag|Pakistan}}	5.269	data-sort-value="0.137"|{{increase}} 0.137	0.727	0.673	0.402	0.235	0.315	0.124	2.792
81	data-sort-value="-2"|{{decrease}} 2	{{flag|Indonesia}}	5.262	data-sort-value="-0.052"|{{decrease}} 0.052	0.996	1.274	0.492	0.443	0.612	0.015	1.429
82	data-sort-value="-38"|{{decrease}} 38	{{flag|Venezuela}}	5.250	data-sort-value="-0.834"|{{decrease}} 0.834	1.128	1.431	0.617	0.154	0.065	0.064	1.789
83	data-sort-value="5"|{{Increase}} 5	{{flag|Montenegro}}	5.237	data-sort-value="0.076"|{{increase}} 0.076	1.121	1.238	0.667	0.195	0.198	0.088	1.729
84	data-sort-value="6"|{{Increase}} 6	{{flag|Morocco}}	5.235	data-sort-value="0.084"|{{increase}} 0.084	0.878	0.775	0.598	0.408	0.032	0.088	2.456
85	data-sort-value="-4"|{{decrease}} 4	{{flag|Azerbaijan}}	7.342	data-sort-value="-0.057"|{{decrease}} 0.057	1.154	1.152	0.541	0.398	0.045	0.181	1.762
86	data-sort-value="3"|{{Increase}} 3	{{flag|Dominican Republic}}	5.230	data-sort-value="0.075"|{{increase}} 0.075	1.079	1.402	0.575	0.553	0.187	0.114	1.319
87	data-sort-value="12"|{{Increase}} 12	{{flag|Greece}}	5.227	data-sort-value="0.194"|{{increase}} 0.194	1.289	1.239	0.810	0.096	0.000	0.043	1.749
88	data-sort-value="5"|{{Increase}} 5	{{flag|Lebanon}}	5.225	data-sort-value="0.096"|{{increase}} 0.096	1.075	1.130	0.735	0.289	0.264	0.038	1.695
89	data-sort-value="5"|{{Increase}} 5	{{flag|Portugal}}	5.195	data-sort-value="0.072"|{{increase}} 0.072	1.315	1.367	0.796	0.498	0.095	0.016	1.108
90	data-sort-value="-3"|{{decrease}} 3	{{flag|Bosnia and Herzegovina}}	5.182	data-sort-value="0.019"|{{increase}} 0.019	0.982	1.069	0.705	0.204	0.329	0.000	1.892
91	data-sort-value="13"|{{Increase}} 13	{{flag|Honduras}}	5.181	data-sort-value="0.310"|{{increase}} 0.310	0.731	1.144	0.583	0.348	0.236	0.073	2.066
92	data-sort-value="3"|{{Increase}} 3	{{flag|Macedonia}}	5.175	data-sort-value="0.054"|{{increase}} 0.054	1.065	1.208	0.645	0.326	0.254	0.060	1.617
93	data-sort-value="-17"|{{decrease}} 17	{{flag|Somalia}}	5.151	data-sort-value="-0.289"|{{decrease}} 0.289	0.023	0.721	0.114	0.602	0.292	0.282	3.117
94	data-sort-value="2"|{{Increase}} 2	{{flag|Vietnam}}	5.074	data-sort-value="0.013"|{{increase}} 0.013	0.789	1.277	0.652	0.571	0.235	0.088	1.462
95	data-sort-value="8"|{{Increase}} 8	{{flag|Nigeria}}	5.074	data-sort-value="0.199"|{{increase}} 0.199	0.784	1.216	0.057	0.395	0.231	0.026	2.365
96	data-sort-value="4"|{{Increase}} 4	{{flag|Tajikistan}}	5.041	data-sort-value="0.045"|{{increase}} 0.045	0.525	1.271	0.529	0.472	0.249	0.146	1.849
97	data-sort-value="-13"|{{decrease}} 13	{{flag|Bhutan}}	5.011	data-sort-value="-0.185"|{{decrease}} 0.185	0.885	1.340	0.496	0.502	0.474	0.173	1.140
98	data-sort-value="-13"|{{decrease}} 13	{{flag|Kyrgyzstan}}	5.004	data-sort-value="-0.181"|{{decrease}} 0.181	0.596	1.394	0.553	0.455	0.429	0.039	1.537
99	data-sort-value="8"|{{Increase}} 8	{{flag|Nepal}}	4.962	data-sort-value="0.169"|{{increase}} 0.169	0.480	1.179	0.504	0.440	0.394	0.073	1.891
100	data-sort-value="1"|{{Increase}} 1	{{flag|Mongolia}}	4.955	data-sort-value="0.048"|{{increase}} 0.048	1.027	1.493	0.558	0.394	0.338	0.033	1.111
101	data-sort-value="15"|{{Increase}} 15	{{flag|South Africa}}	4.829	data-sort-value="0.370"|{{increase}} 0.370	1.055	1.385	0.187	0.479	0.139	0.073	1.511
102	data-sort-value="-4"|{{decrease}} 4	{{flag|Tunisia}}	4.805	data-sort-value="-0.240"|{{decrease}} 0.240	1.007	0.868	0.613	0.290	0.050	0.087	1.890
103	data-sort-value="5"|{{Increase}} 5	{{flag|Palestinian Territories}}	4.775	data-sort-value="0.021"|{{increase}} 0.021	0.716	1.156	0.566	0.255	0.114	0.089	1.879
104	data-sort-value="16"|{{Increase}} 16	{{flag|Egypt}}	4.735	data-sort-value="0.373"|{{increase}} 0.373	0.990	0.997	0.520	0.282	0.129	0.114	1.702
105	data-sort-value="24"|{{Increase}} 24	{{flag|Bulgaria}}	4.714	data-sort-value="0.497"|{{increase}} 0.497	1.161	1.434	0.708	0.289	0.113	0.011	0.996
106	data-sort-value="5"|{{Increase}} 5	{{flag|Sierra Leone}}	4.709	data-sort-value="0.074"|{{increase}} 0.074	0.368	0.984	0.006	0.319	0.293	0.071	2.668
107	data-sort-value="7"|{{Increase}} 7	{{flag|Cameroon}}	4.695	data-sort-value="0.182"|{{increase}} 0.182	0.564	0.946	0.133	0.430	0.236	0.051	2.334
108	data-sort-value="-3"|{{decrease}} 3	{{flag|Iran}}	4.692	data-sort-value="-0.121"|{{decrease}} 0.121	1.157	0.712	0.639	0.249	0.387	0.049	1.499
109	data-sort-value="0"|{{steady}}	{{flag|Albania}}	4.644	data-sort-value="-0.011"|{{decrease}} 0.011	0.996	0.804	0.731	0.381	0.201	0.040	1.490
110	data-sort-value="0"|{{steady}}	{{flag|Bangladesh}}	4.608	data-sort-value="-0.035"|{{decrease}} 0.035	0.587	0.735	0.533	0.478	0.172	0.124	1.979
111	data-sort-value="2"|{{Increase}} 2	{{flag|Namibia}}	4.574	data-sort-value="0.000"|{{steady}}	0.964	1.098	0.339	0.520	0.077	0.093	1.482
112	data-sort-value="10"|{{Increase}} 10	{{flag|Kenya}}	4.553	data-sort-value="0.197"|{{increase}} 0.197	0.560	1.068	0.310	0.453	0.445	0.065	1.652
113	N/A	{{flag|Mozambique}}	4.550	N/A	0.234	0.871	0.107	0.481	0.322	0.179	2.356
114	data-sort-value="5"|{{Increase}} 5	{{flag|Myanmar}}	4.545	data-sort-value="0.150"|{{increase}} 0.150	0.367	1.123	0.398	0.514	0.838	0.189	1.115
115	data-sort-value="13"|{{Increase}} 13	{{flag|Senegal}}	4.535	data-sort-value="0.316"|{{increase}} 0.316	0.479	1.180	0.409	0.378	0.183	0.115	1.790
116	data-sort-value="-10"|{{decrease}} 10	{{flag|Zambia}}	4.514	data-sort-value="-0.281"|{{decrease}} 0.281	0.636	1.003	0.258	0.462	0.250	0.078	1.827
117	data-sort-value="-5"|{{decrease}} 5	{{flag|Iraq}}	4.497	data-sort-value="-0.078"|{{decrease}} 0.078	1.103	0.979	0.501	0.289	0.200	0.107	1.319
118	data-sort-value="16"|{{Increase}} 16	{{flag|Gabon}}	4.465	data-sort-value="0.344"|{{increase}} 0.344	1.198	1.156	0.357	0.312	0.044	0.076	1.323
119	data-sort-value="-4"|{{decrease}} 4	{{flag|Ethiopia}}	4.460	data-sort-value="-0.048"|{{decrease}} 0.048	0.339	0.865	0.353	0.409	0.313	0.165	2.016
120	data-sort-value="-3"|{{decrease}} 3	{{flag|Sri Lanka}}	4.440	data-sort-value="0.025"|{{increase}} 0.025	1.010	1.260	0.625	0.561	0.491	0.074	0.419
121	data-sort-value="0"|{{steady}}	{{flag|Armenia}}	4.376	data-sort-value="0.016"|{{increase}} 0.016	0.901	1.007	0.638	0.198	0.083	0.027	1.521
122	data-sort-value="-4"|{{decrease}} 4	{{flag|India}}	4.315	data-sort-value="-0.089"|{{decrease}} 0.089	0.792	0.754	0.455	0.470	0.232	0.092	1.519
123	data-sort-value="7"|{{Increase}} 7	{{flag|Mauritania}}	4.292	data-sort-value="0.091"|{{increase}} 0.091	0.648	1.272	0.285	0.096	0.202	0.137	1.652
124	data-sort-value="1"|{{Increase}} 1	{{flag|Congo (Brazzaville)}}	4.291	data-sort-value="0.019"|{{increase}} 0.019	0.809	0.832	0.290	0.435	0.121	0.080	1.724
125	data-sort-value="1"|{{Increase}} 1	{{flag|Georgia}}	4.286	data-sort-value="0.034"|{{increase}} 0.034	0.951	0.571	0.650	0.309	0.054	0.252	1.500
126	data-sort-value="1"|{{Increase}} 1	{{flag|Congo (Kinshasa)}}	4.280	data-sort-value="0.044"|{{increase}} 0.044	0.092	1.229	0.191	0.236	0.246	0.060	2.225
127	data-sort-value="8"|{{Increase}} 8	{{flag|Mali}}	4.190	data-sort-value="0.117"|{{increase}} 0.117	0.476	1.281	0.169	0.307	0.183	0.105	1.668
128	data-sort-value="11"|{{Increase}} 11	{{flag|Ivory Coast}}	4.180	data-sort-value="0.264"|{{increase}} 0.264	0.603	0.905	0.049	0.448	0.201	0.130	1.845
129	data-sort-value="11"|{{Increase}} 11	{{flag|Cambodia}}	4.168	data-sort-value="0.261"|{{increase}} 0.261	0.602	1.006	0.430	0.633	0.386	0.068	1.043
130	data-sort-value="3"|{{Increase}} 3	{{flag|Sudan}}	4.139	data-sort-value="0.000"|{{steady}}	0.660	1.214	0.291	0.015	0.182	0.090	1.687
131	data-sort-value="-7"|{{decrease}} 7	{{flag|Ghana}}	4.120	data-sort-value="-0.156"|{{decrease}} 0.156	0.667	0.874	0.296	0.423	0.257	0.025	1.578
132	data-sort-value="-9"|{{decrease}} 9	{{flag|Ukraine}}	4.096	data-sort-value="-0.228"|{{decrease}} 0.228	0.895	1.395	0.576	0.123	0.270	0.023	0.814
133	data-sort-value="13"|{{Increase}} 13	{{flag|Uganda}}	4.081	data-sort-value="0.342"|{{increase}} 0.342	0.381	1.130	0.218	0.443	0.326	0.057	1.526
134	data-sort-value="11"|{{Increase}} 11	{{flag|Burkina Faso}}	4.032	data-sort-value="0.293"|{{increase}} 0.293	0.350	1.043	0.216	0.324	0.251	0.120	1.727
135	data-sort-value="7"|{{Increase}} 7	{{flag|Niger}}	4.028	data-sort-value="0.172"|{{increase}} 0.172	0.162	0.993	0.269	0.364	0.229	0.139	1.874
136	data-sort-value="-4"|{{decrease}} 4	{{flag|Malawi}}	3.970	data-sort-value="-0.186"|{{decrease}} 0.186	0.233	0.513	0.315	0.467	0.287	0.073	2.082
137	data-sort-value="7"|{{Increase}} 7	{{flag|Chad}}	3.936	data-sort-value="0.173"|{{increase}} 0.173	0.438	0.954	0.041	0.162	0.216	0.054	2.071
138	data-sort-value="-7"|{{decrease}} 7	{{flag|Zimbabwe}}	3.875	data-sort-value="-0.318"|{{decrease}} 0.318	0.376	1.083	0.197	0.336	0.189	0.095	1.598
139	N/A	{{flag|Lesotho}}	3.808	N/A	0.521	1.190	0.000	0.391	0.157	0.119	1.430
140	data-sort-value="1"|{{Increase}} 1	{{flag|Angola}}	3.795	data-sort-value="-0.071"|{{decrease}} 0.071	0.858	1.104	0.050	0.000	0.098	0.070	1.614
141	data-sort-value="13"|{{Increase}} 13	{{flag|Afghanistan}}	3.794	data-sort-value="0.434"|{{increase}} 0.434	0.401	0.582	0.181	0.106	0.312	0.061	2.151
142	data-sort-value="-5"|{{decrease}} 5	{{flag|Botswana}}	3.766	data-sort-value="-0.208"|{{decrease}} 0.208	1.122	1.222	0.342	0.505	0.099	0.099	0.378
143	data-sort-value="10"|{{Increase}} 10	{{flag|Benin}}	3.657	data-sort-value="0.173"|{{increase}} 0.173	0.431	0.435	0.210	0.426	0.208	0.061	1.886
144	data-sort-value="4"|{{Increase}} 4	{{flag|Madagascar}}	3.644	data-sort-value="-0.051"|{{decrease}} 0.051	0.306	0.913	0.375	0.189	0.209	0.067	1.585
145	data-sort-value="-9"|{{decrease}} 9	{{flag|Haiti}}	3.603	data-sort-value="-0.425"|{{decrease}} 0.425	0.369	0.640	0.277	0.030	0.489	0.100	1.697
146	data-sort-value="1"|{{Increase}} 1	{{flag|Yemen}}	3.593	data-sort-value="-0.131"|{{decrease}} 0.131	0.592	0.935	0.310	0.249	0.104	0.057	1.346
147	data-sort-value="-4"|{{decrease}} 4	{{flag|South Sudan}}	3.591	data-sort-value="-0.241"|{{decrease}} 0.241	0.397	0.601	0.163	0.147	0.286	0.117	1.880
148	data-sort-value="2"|{{Increase}} 2	{{flag|Liberia}}	3.533	data-sort-value="-0.089"|{{decrease}} 0.089	0.119	0.872	0.230	0.333	0.267	0.039	1.673
149	data-sort-value="2"|{{Increase}} 2	{{flag|Guinea}}	3.507	data-sort-value="-0.100"|{{decrease}} 0.100	0.245	0.791	0.194	0.349	0.265	0.111	1.552
150	data-sort-value="5"|{{Increase}} 5	{{flag|Togo}}	3.495	data-sort-value="0.192"|{{increase}} 0.192	0.305	0.432	0.247	0.380	0.197	0.096	1.837
151	data-sort-value="1"|{{Increase}} 1	{{flag|Rwanda}}	3.471	data-sort-value="-0.044"|{{decrease}} 0.044	0.369	0.946	0.326	0.582	0.253	0.455	0.540
152	data-sort-value="4"|{{Increase}} 4	{{flag|Syria}}	3.462	data-sort-value="0.393"|{{increase}} 0.393	0.777	0.396	0.501	0.082	0.494	0.151	1.062
153	data-sort-value="-4"|{{decrease}} 4	{{flag|Tanzania}}	3.349	data-sort-value="-0.317"|{{decrease}} 0.317	0.511	1.042	0.365	0.390	0.354	0.066	0.621
154	data-sort-value="3"|{{Increase}} 3	{{flag|Burundi}}	2.905	data-sort-value="0.000"|{{steady}}	0.092	0.630	0.152	0.060	0.204	0.084	1.683
155	N/A	{{flag|Central African Republic}}	2.693	N/A	0.000	0.000	0.019	0.271	0.281	0.057	2.066

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