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National Happiness Trends
Mental Health & Wellness
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About
The World Happiness Report dataset, covering the period from 2005 to the present, is a significant publication by the Sustainable Development Solutions Network. This dataset aims to address the worldwide demand for greater attention to happiness and well-being as key criteria for government policy. It provides a review of the current state of happiness across the globe and illustrates how the science of happiness helps to explain variations in well-being at both personal and national levels. The rankings within the report are founded on individuals' self-assessments of their lives, specifically their responses to the Cantril ladder life-evaluation question from the Gallup World Poll data, which powers the report.
Columns
- Country Name: Identifies the specific country for each record. There are 165 unique countries represented.
- Regional Indicator: Categorises countries by their respective regions, with 10 unique regional groups, such as Sub-Saharan Africa and Latin America and Caribbean.
- Year: Indicates the year the data was collected, ranging from 2005 to 2022.
- Life Ladder: This is the dependent variable, representing individuals' life evaluations on a scale from 0 to 10. Scores range from 1.28 to 8.02.
- Log GDP Per Capita: An independent variable, measured in Purchasing Power Parity (PPP) adjusted to constant 2017 international dollars. This is sourced from the World Development Indicators by the World Bank. The natural log of GDP per capita is used for a better fit.
- Social Support: An independent variable (0-1) reflecting the national average of binary responses to the Gallup World Poll question about having relatives or friends to count on in times of trouble.
- Healthy Life Expectancy At Birth: An independent variable constructed from World Health Organization (WHO) data. It covers expected healthy life years, with values ranging up to 74.5.
- Freedom To Make Life Choices: An independent variable (0-1) representing the national average of binary responses to the Gallup World Poll question regarding satisfaction with freedom to choose what to do with one's life.
- Generosity: An independent variable derived from the residual of regressing responses to a Gallup World Poll donation question on log GDP per capita.
- Perceptions Of Corruption: An independent variable (0-1) reflecting the average of binary answers to Gallup World Poll questions on the perceived prevalence of corruption within government and businesses.
- Positive Affect: An independent variable defined as the average of previous-day measures for feelings such such as laughter, enjoyment, and interest.
- Negative Affect: An independent variable defined as the average of previous-day measures for feelings such as worry, sadness, and anger.
- Confidence In National Government: Measures the level of confidence citizens have in their national government, with scores ranging from 0.07 to 0.99.
Distribution
The dataset is available as a CSV file, named 'World Happiness Report.csv', and has a size of approximately 333.25 KB. It is structured in a tabular format, featuring 13 distinct columns. The dataset contains approximately 2199 rows or records, providing a substantial collection of data points for analysis.
Usage
This dataset is ideally suited for various applications, including:
- Analysing global happiness trends and variations across different countries and over time.
- Researching the determinants of happiness, such as the impact of economic development, social support, health outcomes, and governance quality on life evaluations.
- Informing public policy by providing evidence-based insights for governments and international organisations aiming to enhance societal well-being and development.
- Cross-country comparisons of happiness levels and the factors contributing to them.
Coverage
The dataset offers a worldwide geographic scope, drawing on nationally representative samples. The time range of the data spans from 2005 to 2022, covering 18 years of observations. Specific details on data availability include the use of interpolation and extrapolation for Healthy Life Expectancy data to ensure consistent coverage for the reporting period, and the extension of GDP time series for 2022 using country-specific forecasts. Demographic scope is primarily aggregated at the national level.
License
CC0: Public Domain
Who Can Use It
This dataset is highly valuable for:
- Researchers and academics: For in-depth studies on happiness science, social indicators, and economic determinants of well-being.
- Policy makers and government analysts: To guide the development of policies that promote happiness and sustainable development within nations.
- Data scientists and analysts: For statistical modelling, trend analysis, and predictive analytics related to global happiness.
- Journalists and media professionals: To create insightful reports and narratives on the state of global happiness and its influencing factors.
- International organisations and NGOs: For monitoring progress on well-being goals and informing development programmes.
Dataset Name Suggestions
- World Happiness Indicators
- Global Well-being Data
- National Happiness Trends
- Factors of Global Happiness
- International Well-being Metrics
Attributes
Original Data Source: National Happiness Trends
QUALITY