National Happiness Scores Dataset
Data Science and Analytics
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About
This dataset presents a pivotal survey of global well-being, focusing on the effects of COVID-19 and how people worldwide have fared. It evaluates how governments have addressed the pandemic and seeks to explain why certain countries have been more successful in their responses. The report, which first appeared in 2012, has gained worldwide recognition, influencing policy-making decisions by governments, organisations, and civil society. It provides happiness scores and rankings for nations, explaining variations in happiness through scientific measurements of well-being.
Columns
The happiness scores and rankings are derived from the Gallup World Survey, utilising the Cantril ladder, where respondents rate their current life on a scale from 0 (worst) to 10 (best). The data includes scores from broadly representative samples for the years 2013-2016. The dataset includes the Happiness Score for 153 countries, alongside several factors that contribute to this score. These explanatory factors assess the degree to which they elevate life assessments in each country compared to a theoretical nation called Dystopia, which represents the world's lowest national midpoints for these variables. The factors are:
- Happiness Score: A national average of responses to the main life evaluation question.
- GDP per capita
- Healthy Life Expectancy
- Social support
- Freedom to make life choices
- Generosity
- Corruption Perception
- Residual error
Distribution
This dataset typically comes in a CSV file format and contains the Happiness Score and explanatory factors for 153 countries. While specific numbers for rows or records are not detailed, the accompanying file
Appendix1WHR2021C2.pdf
is approximately 498.17 kB in size. The data is based on information from the Gallup World Survey.Usage
This dataset is ideal for a variety of applications, particularly for those interested in global well-being and public policy. It can be used by governments, organisations, and civil society to inform policy-making decisions, evaluate countries' progress, and understand individual and national differences in happiness. Researchers can use it to analyse the impact of COVID-19 on the quality of people’s lives and to assess the effectiveness of government responses to the pandemic.
Coverage
The dataset offers global coverage, providing happiness scores and related factors for 153 countries. The underlying Gallup World Survey data, used for scores and rankings, covers the time range of 2013-2016. The World Happiness Report 2021, from which this data is derived, specifically focuses on the effects of COVID-19 and how various nations have navigated the pandemic. The data is based on broadly representative samples for each country, reflecting national averages.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is suitable for a diverse range of users, including:
- Governments: For informing policy-making related to public well-being and societal development.
- Organisations and Civil Society: For advocating for better well-being policies and evaluating social progress.
- Academics and Researchers: Specialising in economics, psychology, survey analysis, national statistics, health, and public policy, to study global happiness trends, the impact of external events like pandemics, and cross-country comparisons.
- Data Analysts and Scientists: Interested in analysing macro-economic and social indicators and their correlation with happiness levels.
Dataset Name Suggestions
- World Happiness Report 2021 Data
- Global Well-being and COVID-19 Impact
- National Happiness Scores Dataset
- Gallup World Poll Life Evaluation
- Country Happiness Factors 2021
Attributes
Original Data Source: National Happiness Scores Dataset