Context

The World Happiness Report may be a point of interest survey of the state of worldwide bliss. The primary report was distributed in 2012, the second in 2013, the third in 2015, and the fourth within the 2016 Upgrade. The World Joy 2017, which positions 155 nations by their bliss levels, was discharged at the Joined together Countries at an occasion celebrating Universal Day of Joy on Walk 20th. The report proceeds to pick up worldwide acknowledgment as governments, organizations and respectful society progressively utilize joy pointers to educate their policy-making choices. Driving specialists over areas – financial matters, brain research, overview investigation, national insights, wellbeing, open approach and more – depict how estimations of well-being can be used effectively to evaluate the advance of countries. The reports survey the state of bliss within the world nowadays and appear how the modern science of bliss clarifies individual and national varieties in bliss.

Content

The joy scores and rankings utilize information from the Gallup World Survey. The scores are based on answers to the most life evaluation address inquired within the survey. This address, known as the Cantril step, asks respondents to think of a step with the most excellent conceivable life for them being a 10 and the most exceedingly bad conceivable life being a and to rate their claim current lives on that scale. The scores are from broadly agent tests for the a long time 2013-2016 and utilize the Gallup weights to create the gauges agent. The columns taking after the bliss score assess the degree to which each of six variables – financial generation, social back, life anticipation, flexibility, nonattendance of debasement, and liberality – contribute to making life assessments higher in each nation than they are in Dystopia, a theoretical nation that has values rise to to the world’s least national midpoints for each of the six variables. They have no affect on the full score detailed for each nation, but they do exp

This file contains the Happiness Score for 153 countries along with the factors used to explain the score.

The Happiness Score is a national average of the responses to the main life evaluation question asked in the Gallup World Poll (GWP), which uses the Cantril Ladder.

The Happiness Score is explained by the following factors:

GDP per capita Healthy Life Expectancy Social support Freedom to make life choices Generosity Corruption Perception Residual error The data is described in much more detail here: link

Acknowledgements

I did not create this data, only sourced it. The credit goes to the original Authors:

Editors: John Helliwell, Richard Layard, Jeffrey D. Sachs, and Jan Emmanuel De Neve, Co-Editors; Lara Aknin, Haifang Huang and Shun Wang, Associate Editors; and Sharon Paculor, Production Editor

Citation: Helliwell, John F., Richard Layard, Jeffrey Sachs, and Jan-Emmanuel De Neve, eds. 2020. World Happiness Report 2020. New York: Sustainable Development Solutions Network

The first edition of the World Happiness Report was published on April 1, 2012 (omitted from this dataset), with a methodology that ranks countries based on their Happiness Index. Since its release, this report has garnered global recognition and has been issued on a yearly basis, excluding 2014.

Happiness Index is explained by: • Dystopia (adds 1.83 Index score) + residual • GDP per capita • Social support • Healthy life expectancy • Freedom to make life choices • Generosity • Perceptions of corruption.

Dataset provided in .xlsx and .csv formats. For convenience, dataset is provided with and without NULLs.

Possible use cases & questions: Initially the dataset was meant to be used for visualization practice with BI tools, for example, Tableau.

Clean dataset without nulls: 1) “Yearly average Happiness Index change” 2) “Are there countries who’s happiness was increasing for years, but had a sudden drop in recent years?” 3) “Is there a year(s) where the average world happiness decreased compared to last year?” 4) Geo data visualization.

With nulls: 1) Practice dealing with nulls. 2) “Which countries in which year had no ranking?” Deep dive and exploration into possible causes (for example, war, internal conflict, government or policy changes, diseases) via other sources.

Columns: Country – country name. Year – year of the report. Index – Happiness Index score. Rank – country rank according to their Happiness Index score.

Reports used in this dataset: 1. The 2013 World Happiness Report provides rankings of 156 countries based on their happiness index during the period of 2010-2012. Data collected from: https://resources.unsdsn.org/world-happiness-report-2013 2. No report for 2014. 3. The 2015 World Happiness Report provides rankings of 158 countries based on their happiness index during the period of 2012-2014. 4. The 2016 World Happiness Report provides rankings of 157 countries based on their happiness index during the period of 2013-2015. 5. The 2017 World Happiness Report provides rankings of 155 countries based on their happiness index during the period of 2014-2016. 6. The 2018 World Happiness Report provides rankings of 156 countries based on their happiness index during the period of 2015-2017. 7. The 2019 World Happiness Report provides rankings of 156 countries based on their happiness index during the period of 2016-2018. 8. The 2020 World Happiness Report provides rankings of 153 countries based on their happiness index during the period of 2017-2019. 9. The 2021 World Happiness Report provides rankings of 149 countries based on their happiness index during the period of 2018-2020. 10. The 2022 World Happiness Report provides rankings of 146 countries based on their happiness index during the period of 2019-2021. 11. The 2023 World Happiness Report provides rankings of 137 countries based on their happiness index during the period of 2020-2022.

If not stated differently, data collected from: https://worldhappiness.report/

Licence: CDLA-Permissive-1.0

Notes: Please note that some country names have been shortened, for example, “Hong Kong Special Administrative Region of the People's Republic of China” was shortened to “Hong Kong”.

Additional notes: [name in older Reports, other data sources] = [name used in this file] [data source] • Czech Republic = Czechia [1] • Macedonia = North Macedonia [2] • Turkey = Turkiye [3]

Data sources: 1) https://european-union.europa.eu/principles-countries-history/country-profiles/czechia_en 2) https://www.strasbourg-europe.eu/macedonia/ 3) https://www.un.org/en/about-us/member-states/turkiye

Update History: 2023-03-14—2023-03-17 – initial data collection for 2013-2022. 2023-03-25 – updated for 2023.

Dataset

This dataset was created by Nicholas

Released under CC0: Public Domain

Contents

Analysis of ‘World Happiness Report 2019’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/PromptCloudHQ/world-happiness-report-2019 on 30 September 2021.

--- Dataset description provided by original source is as follows ---

The data has been released by SDSN and extracted by PromptCloud's custom web crawling solution.

Context

The World Happiness Report is a landmark survey of the state of global happiness that ranks 156 countries by how happy their citizens perceive themselves to be. This year’s World Happiness Report focuses on happiness and the community: how happiness has evolved over the past dozen years, with a focus on the technologies, social norms, conflicts and government policies that have driven those changes.

Content

What is Dystopia?

Dystopia is an imaginary country that has the world’s least-happy people. The purpose in establishing Dystopia is to have a benchmark against which all countries can be favorably compared (no country performs more poorly than Dystopia) in terms of each of the six key variables, thus allowing each sub-bar to be of positive (or zero, in six instances) width. The lowest scores observed for the six key variables, therefore, characterize Dystopia. Since life would be very unpleasant in a country with the world’s lowest incomes, lowest life expectancy, lowest generosity, most corruption, least freedom, and least social support, it is referred to as “Dystopia,” in contrast to Utopia.

What are the residuals?

The residuals, or unexplained components, differ for each country, reflecting the extent to which the six variables either over- or under-explain average 2016-2018 life evaluations. These residuals have an average value of approximately zero over the whole set of countries. Figure 2.7 shows the average residual for each country if the equation in Table 2.1 is applied to average 2016- 2018 data for the six variables in that country. We combine these residuals with the estimate for life evaluations in Dystopia so that the combined bar will always have positive values. As can be seen in Figure 2.7, although some life evaluation residuals are quite large, occasionally exceeding one point on the scale from 0 to 10, they are always much smaller than the calculated value in Dystopia, where the average life is rated at 1.88 on the 0 to 10 scale. Table 7 of the online Statistical Appendix 1 for Chapter 2 puts the Dystopia plus residual block at the left side, and also draws the Dystopia line, making it easy to compare the signs and sizes of the residuals in different countries.

Why do we use these six factors to explain life evaluations?

The variables used reflect what has been broadly found in the research literature to be important in explaining national-level differences in life evaluations. Some important variables, such as unemployment or inequality, do not appear because comparable international data are not yet available for the full sample of countries. The variables are intended to illustrate important lines of correlation rather than to reflect clean causal estimates, since some of the data are drawn from the same survey sources, some are correlated with each other (or with other important factors for which we do not have measures), and in several instances there are likely to be two-way relations between life evaluations and the chosen variables (for example, healthy people are overall happier, but as Chapter 4 in the World Happiness Report 2013 demonstrated, happier people are overall healthier). In Statistical Appendix 1 of World Happiness Report 2018, we assessed the possible importance of using explanatory data from the same people whose life evaluations are being explained. We did this by randomly dividing the samples into two groups, and using the average values for .e.g. freedom gleaned from one group to explain the life evaluations of the other group. This lowered the effects, but only very slightly (e.g. 2% to 3%), assuring us that using data from the same individuals is not seriously affecting the results.

Data source: http://worldhappiness.report/ed/2019/

More such datasets can be downloaded from DataStock.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘World Happiness Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/unsdsn/world-happiness on 12 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The World Happiness Report is a landmark survey of the state of global happiness. The first report was published in 2012, the second in 2013, the third in 2015, and the fourth in the 2016 Update. The World Happiness 2017, which ranks 155 countries by their happiness levels, was released at the United Nations at an event celebrating International Day of Happiness on March 20th. The report continues to gain global recognition as governments, organizations and civil society increasingly use happiness indicators to inform their policy-making decisions. Leading experts across fields – economics, psychology, survey analysis, national statistics, health, public policy and more – describe how measurements of well-being can be used effectively to assess the progress of nations. The reports review the state of happiness in the world today and show how the new science of happiness explains personal and national variations in happiness.

Content

The happiness scores and rankings use data from the Gallup World Poll. The scores are based on answers to the main life evaluation question asked in the poll. This question, known as the Cantril ladder, asks respondents to think of a ladder with the best possible life for them being a 10 and the worst possible life being a 0 and to rate their own current lives on that scale. The scores are from nationally representative samples for the years 2013-2016 and use the Gallup weights to make the estimates representative. The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity – contribute to making life evaluations higher in each country than they are in Dystopia, a hypothetical country that has values equal to the world’s lowest national averages for each of the six factors. They have no impact on the total score reported for each country, but they do explain why some countries rank higher than others.

Inspiration

What countries or regions rank the highest in overall happiness and each of the six factors contributing to happiness? How did country ranks or scores change between the 2015 and 2016 as well as the 2016 and 2017 reports? Did any country experience a significant increase or decrease in happiness?

What is Dystopia?

Dystopia is an imaginary country that has the world’s least-happy people. The purpose in establishing Dystopia is to have a benchmark against which all countries can be favorably compared (no country performs more poorly than Dystopia) in terms of each of the six key variables, thus allowing each sub-bar to be of positive width. The lowest scores observed for the six key variables, therefore, characterize Dystopia. Since life would be very unpleasant in a country with the world’s lowest incomes, lowest life expectancy, lowest generosity, most corruption, least freedom and least social support, it is referred to as “Dystopia,” in contrast to Utopia.

What are the residuals?

The residuals, or unexplained components, differ for each country, reflecting the extent to which the six variables either over- or under-explain average 2014-2016 life evaluations. These residuals have an average value of approximately zero over the whole set of countries. Figure 2.2 shows the average residual for each country when the equation in Table 2.1 is applied to average 2014- 2016 data for the six variables in that country. We combine these residuals with the estimate for life evaluations in Dystopia so that the combined bar will always have positive values. As can be seen in Figure 2.2, although some life evaluation residuals are quite large, occasionally exceeding one point on the scale from 0 to 10, they are always much smaller than the calculated value in Dystopia, where the average life is rated at 1.85 on the 0 to 10 scale.

What do the columns succeeding the Happiness Score(like Family, Generosity, etc.) describe?

The following columns: GDP per Capita, Family, Life Expectancy, Freedom, Generosity, Trust Government Corruption describe the extent to which these factors contribute in evaluating the happiness in each country. The Dystopia Residual metric actually is the Dystopia Happiness Score(1.85) + the Residual value or the unexplained value for each country as stated in the previous answer.

If you add all these factors up, you get the happiness score so it might be un-reliable to model them to predict Happiness Scores.

Start a new kernel

--- Original source retains full ownership of the source dataset ---

Context

Analyzing World Happiness Report over years could be a stressful and boring task because it takes a lot of time to clean the data. This dataset, which is basically a 3D-Time-Series data ready-to-use for ML tasks, is a simplified version of already existing World Happiness Report datasets.

Content

This dataset contains the happiness score of each country, and some key factors that contribute directly to the overall happiness of the country, over 6 years (from 2015 to 2020).

For the ones who are new to the topic, I drop the link to the World Happiness Report

Here are some key differences from the original data:

1. Some features absent in any year's report or mostly unnecessary are excluded from the data. Features' names are now consistent.

2. For the sake of simplification, only the countries which are present in all annual reports are included in the data.

3. Instead of individual regions like Middle East and West Europe, continents are -in my opinion- a better choice for performing groupby-aggregate operations, so the already existing region column is replaced by the new continent column.

Acknowledgements

I am grateful to the Sustainable Development Solutions Network for creating the World Happiness Report and its Kaggle dataset, which I used for preprocessing in the first place.

Analysis of ‘World Happiness Report 2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mathurinache/world-happiness-report-2021 on 24 September 2021.

--- Dataset description provided by original source is as follows ---

Context

The World Happiness Report may be a point of interest survey of the state of worldwide bliss. The primary report was distributed in 2012, the second in 2013, the third in 2015, and the fourth within the 2016 Upgrade. The World Joy 2017, which positions 155 nations by their bliss levels, was discharged at the Joined together Countries at an occasion celebrating Universal Day of Joy on Walk 20th. The report proceeds to pick up worldwide acknowledgment as governments, organizations and respectful society progressively utilize joy pointers to educate their policy-making choices. Driving specialists over areas – financial matters, brain research, overview investigation, national insights, wellbeing, open approach and more – depict how estimations of well-being can be used effectively to evaluate the advance of countries. The reports survey the state of bliss within the world nowadays and appear how the modern science of bliss clarifies individual and national varieties in bliss.

Content

The joy scores and rankings utilize information from the Gallup World Survey. The scores are based on answers to the most life evaluation address inquired within the survey. This address, known as the Cantril step, asks respondents to think of a step with the most excellent conceivable life for them being a 10 and the most exceedingly bad conceivable life being a and to rate their claim current lives on that scale. The scores are from broadly agent tests for the a long time 2013-2016 and utilize the Gallup weights to create the gauges agent. The columns taking after the bliss score assess the degree to which each of six variables – financial generation, social back, life anticipation, flexibility, nonattendance of debasement, and liberality – contribute to making life assessments higher in each nation than they are in Dystopia, a theoretical nation that has values rise to to the world’s least national midpoints for each of the six variables. They have no affect on the full score detailed for each nation, but they do exp

This file contains the Happiness Score for 153 countries along with the factors used to explain the score.

The Happiness Score is a national average of the responses to the main life evaluation question asked in the Gallup World Poll (GWP), which uses the Cantril Ladder.

The Happiness Score is explained by the following factors:

GDP per capita Healthy Life Expectancy Social support Freedom to make life choices Generosity Corruption Perception Residual error The data is described in much more detail here: link

Acknowledgements

I did not create this data, only sourced it. The credit goes to the original Authors:

Editors: John Helliwell, Richard Layard, Jeffrey D. Sachs, and Jan Emmanuel De Neve, Co-Editors; Lara Aknin, Haifang Huang and Shun Wang, Associate Editors; and Sharon Paculor, Production Editor

Citation: Helliwell, John F., Richard Layard, Jeffrey Sachs, and Jan-Emmanuel De Neve, eds. 2020. World Happiness Report 2020. New York: Sustainable Development Solutions Network

--- Original source retains full ownership of the source dataset ---

The "World Happiness Dataset" is a comprehensive and meticulously curated collection of data that offers insights into the well-being and happiness levels of countries around the world. This dataset is a valuable resource for researchers, policymakers, and anyone interested in understanding the factors that contribute to happiness on a global scale.

Analysis of ‘World Happiness Report up to 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mathurinache/world-happiness-report on 20 November 2021.

--- Dataset description provided by original source is as follows ---

Context

The World Happiness Report may be a point of interest survey of the state of worldwide bliss. The primary report was distributed in 2012, the second in 2013, the third in 2015, and the fourth within the 2016 Upgrade. The World Joy 2017, which positions 155 nations by their bliss levels, was discharged at the Joined together Countries at an occasion celebrating Universal Day of Joy on Walk 20th. The report proceeds to pick up worldwide acknowledgment as governments, organizations and respectful society progressively utilize joy pointers to educate their policy-making choices. Driving specialists over areas – financial matters, brain research, overview investigation, national insights, wellbeing, open approach and more – depict how estimations of well-being can be used effectively to evaluate the advance of countries. The reports survey the state of bliss within the world nowadays and appear how the modern science of bliss clarifies individual and national varieties in bliss.

Content

The joy scores and rankings utilize information from the Gallup World Survey. The scores are based on answers to the most life evaluation address inquired within the survey. This address, known as the Cantril step, asks respondents to think of a step with the most excellent conceivable life for them being a 10 and the most exceedingly bad conceivable life being a and to rate their claim current lives on that scale. The scores are from broadly agent tests for the a long time 2013-2016 and utilize the Gallup weights to create the gauges agent. The columns taking after the bliss score assess the degree to which each of six variables – financial generation, social back, life anticipation, flexibility, nonattendance of debasement, and liberality – contribute to making life assessments higher in each nation than they are in Dystopia, a theoretical nation that has values rise to to the world’s least national midpoints for each of the six variables. They have no affect on the full score detailed for each nation, but they do exp

This file contains the Happiness Score for 153 countries along with the factors used to explain the score.

The Happiness Score is a national average of the responses to the main life evaluation question asked in the Gallup World Poll (GWP), which uses the Cantril Ladder.

The Happiness Score is explained by the following factors:

GDP per capita Healthy Life Expectancy Social support Freedom to make life choices Generosity Corruption Perception Residual error The data is described in much more detail here: link

Acknowledgements

I did not create this data, only sourced it. The credit goes to the original Authors:

Editors: John Helliwell, Richard Layard, Jeffrey D. Sachs, and Jan Emmanuel De Neve, Co-Editors; Lara Aknin, Haifang Huang and Shun Wang, Associate Editors; and Sharon Paculor, Production Editor

Citation: Helliwell, John F., Richard Layard, Jeffrey Sachs, and Jan-Emmanuel De Neve, eds. 2020. World Happiness Report 2020. New York: Sustainable Development Solutions Network

--- Original source retains full ownership of the source dataset ---

This is a shameless rip-off from https://www.kaggle.com/unsdsn/world-happiness

Dataset

This dataset was created by Elizabeth A Rodriguez

Contents

Analysis of ‘World Happiness Report 2015-2021’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mathurinache/world-happiness-report-20152021 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context The World Happiness Report may be a point of interest survey of the state of worldwide bliss. The primary report was distributed in 2012, the second in 2013, the third in 2015, and the fourth within the 2016 Upgrade. The World Joy 2017, which positions 155 nations by their bliss levels, was discharged at the Joined together Countries at an occasion celebrating Universal Day of Joy on Walk 20th. The report proceeds to pick up worldwide acknowledgment as governments, organizations and respectful society progressively utilize joy pointers to educate their policy-making choices. Driving specialists over areas – financial matters, brain research, overview investigation, national insights, wellbeing, open approach and more – depict how estimations of well-being can be used effectively to evaluate the advance of countries. The reports survey the state of bliss within the world nowadays and appear how the modern science of bliss clarifies individual and national varieties in bliss.

Content The joy scores and rankings utilize information from the Gallup World Survey. The scores are based on answers to the most life evaluation address inquired within the survey. This address, known as the Cantril step, asks respondents to think of a step with the most excellent conceivable life for them being a 10 and the most exceedingly bad conceivable life being a and to rate their claim current lives on that scale. The scores are from broadly agent tests for the a long time 2013-2016 and utilize the Gallup weights to create the gauges agent. The columns taking after the bliss score assess the degree to which each of six variables – financial generation, social back, life anticipation, flexibility, nonattendance of debasement, and liberality – contribute to making life assessments higher in each nation than they are in Dystopia, a theoretical nation that has values rise to to the world’s least national midpoints for each of the six variables. They have no affect on the full score detailed for each nation, but they do exp

This file contains the Happiness Score for 153 countries along with the factors used to explain the score.

The Happiness Score is a national average of the responses to the main life evaluation question asked in the Gallup World Poll (GWP), which uses the Cantril Ladder.

The Happiness Score is explained by the following factors:

GDP per capita Healthy Life Expectancy Social support Freedom to make life choices Generosity Corruption Perception Residual error The data is described in much more detail here: link

Acknowledgements I did not create this data, only sourced it. The credit goes to the original Authors:

Editors: John Helliwell, Richard Layard, Jeffrey D. Sachs, and Jan Emmanuel De Neve, Co-Editors; Lara Aknin, Haifang Huang and Shun Wang, Associate Editors; and Sharon Paculor, Production Editor

Citation: Helliwell, John F., Richard Layard, Jeffrey Sachs, and Jan-Emmanuel De Neve, eds. 2020. World Happiness Report 2020. New York: Sustainable Development Solutions Network

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Happiness and Alcohol Consumption’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/marcospessotto/happiness-and-alcohol-consumption on 30 September 2021.

--- No further description of dataset provided by original source ---

--- Original source retains full ownership of the source dataset ---

Dataset is taken from https://www.kaggle.com/unsdsn/world-happiness but updated with a column named "Continent".

Context:

The "Global Happiness Index and Homicide Rate Dataset" provides a comprehensive overview of happiness rankings and homicide rates for countries around the world. This dataset is a valuable resource for researchers, analysts, policymakers, and anyone interested in exploring the relationship between happiness and crime rates. It combines two critical dimensions of a country's well-being: its citizens' happiness levels and the prevalence of homicides.

Content:

1.**Countries:** This column contains the names of the countries included in the dataset. It serves as the primary identifier for each data entry.

2.**Global Rank:** This column indicates the global ranking of each country based on its happiness index. The happiness index measures the overall well-being and contentment of a nation's citizens, taking into account factors like income, social support, life expectancy, freedom to make life choices, trust in government, and generosity. A lower rank suggests a higher level of happiness.

3.**Available Data:** This column provides information about the completeness and reliability of the data for each country. It may indicate whether there are missing values, data quality issues, or other relevant notes regarding the dataset's integrity.

This dataset can be used for various analytical purposes, such as:

• Exploratory Data Analysis (EDA): Researchers can explore the relationship between a country's happiness ranking and its homicide rate to identify potential correlations or patterns.

• Geospatial Analysis: Analysts can create maps and visualizations to display the geographic distribution of happiness rankings and homicide rates.

• Policy Insights: Policymakers can use this dataset to inform decisions related to public safety, social programs, and well-being initiatives.

• Machine Learning and Predictive Modeling: Data scientists can build predictive models to understand the factors that contribute to happiness and to forecast potential changes in homicide rates.

Dataset

This dataset was created by SowmyaLR

Contents

Dataset

This dataset was created by sohoon

Released under CC0: Public Domain

Contents

Dataset

This dataset was created by anastacia6

Released under Apache 2.0

Contents

Dataset

This dataset was created by Ismail Yaliniz

Released under MIT

Contents

Dataset

This dataset was created by Shahd Althalathini

Contents