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Cross-National Happiness and Inflation Data
Mental Health & Wellness
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About
Exploring the intricate relationship between economic stability and societal well-being, this dataset offers a detailed look at happiness levels, GDP, and inflation metrics across 148 countries. Spanning from 2015 to 2023, it combines data from the World Happiness Index with key economic indicators to provide valuable insights into global prosperity trends. It is designed to facilitate research, policy analysis, and machine learning applications by linking economic conditions directly to social factors like freedom, social support, and perceptions of corruption.
Columns
- Country: The name of the country where the data was recorded.
- Year: The year in which the data was collected.
- Headline Consumer Price Inflation: The overall inflation rate based on the Consumer Price Index.
- Energy Consumer Price Inflation: The inflation rate of energy products based on the Consumer Price Index.
- Food Consumer Price Inflation: The inflation rate of food products based on the Consumer Price Index.
- Official Core Consumer Price Inflation: The core inflation rate, which excludes energy and food products.
- Producer Price Inflation: The inflation rate based on the Producer Price Index.
- GDP deflator Index growth rate: The growth rate of the GDP deflator, which measures price changes in the economy.
- Continent/Region: The continent or region where the country is located.
- Score: The World Happiness Index score; higher values indicate greater happiness.
- GDP per Capita: The normalised Gross Domestic Product (GDP) per capita for the country.
- Social support: The level of social support individuals receive, reflecting social security and family support.
- Healthy life expectancy at birth: The expected normalised duration of a healthy life at birth.
- Freedom to make life choices: The extent to which individuals feel they have the freedom to make their own life decisions.
- Generosity: The level of generosity in the country, reflecting individuals' willingness to help others.
- Perceptions of corruption: The perceived level of corruption within the country as reported by its people.
Distribution
- Format: CSV
- Size: 214.37 kB
- Structure: The dataset contains 1232 records and 16 columns.
Usage
This dataset is ideal for analysing the connections between economic factors and happiness levels. It can be used to build predictive models to forecast well-being trends based on economic conditions. Researchers, social scientists, and policymakers can leverage it to understand how inflation, GDP, and corruption affect societal happiness.
Coverage
- Geographic: Covers 148 countries across 10 continents and regions.
- Time Range: The data spans from 2015 to 2023.
- Notes: Data availability for certain columns varies; for instance, 'Official Core Consumer Price Inflation' has missing values for 40% of records, and 'Producer Price Inflation' has missing values for 38% of records.
License
CC BY-NC-SA 4.0
Who Can Use It
- Researchers and Academics: Can investigate the socio-economic determinants of national happiness.
- Economists and Financial Analysts: Can explore the impact of inflation and GDP on societal well-being.
- Data Scientists: Can build machine learning models to predict happiness scores.
- Policymakers and Governments: Can use the insights for evidence-based policy analysis aimed at improving societal welfare.
- Social Scientists: Can analyse trends in social support, freedom, and corruption across different nations.
Dataset Name Suggestions
- Global Happiness and Economic Indicators (2015-2023)
- World Happiness, GDP & Inflation Analysis Dataset
- Socio-Economic Factors of Global Well-being
- Cross-National Happiness and Inflation Data
- Economic Stability and Happiness Index
Attributes
Original Data Source: Cross-National Happiness and Inflation Data
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