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World Happiness & Corruption Perceptions
Mental Health & Wellness
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About
This dataset aims to calculate the world happiness score and identify correlations between various factors that may influence a country's happiness rank. It brings together preprocessed and aggregated data for countries with existing information from 2015 to 2020. The dataset integrates the Corruption Perception Index (CPI) to offer a clearer understanding and allow for comparison with happiness scores. All missing data points have been filled with zeros to ensure data consistency.
Columns
- Country: The name of the country.
- happiness_score: An average of responses to the primary life evaluation question from the Gallup World Poll (GWP), ranging from 0 to 10.
- gdp_per_capita: Reflects the contribution of Gross Domestic Product per capita to the calculation of the Happiness Score.
- family: Represents the extent to which family support contributes to the calculation of the Happiness Score.
- health: Indicates the contribution of life expectancy to the calculation of the Happiness Score.
- freedom: Shows the extent to which an individual's freedom contributed to the Happiness Score.
- generosity: A numerical value derived from poll participants' perceptions of generosity within their country.
- government_trust: Represents the perceived extent of corruption's contribution to the Happiness Score. It uses CPI scores for clarity.
- dystopia_residual: A score based on a hypothetical comparison to the world's least happy country.
- continent: The geographical region of the country.
- Year: The date of each finding, covering 2015 to 2020.
- social_support: Describes the perception and reality of being cared for, having assistance available, and being part of a supportive social network.
- cpi_score: The Corruption Perception Index score, where a higher score indicates better perception.
Distribution
The dataset is typically provided as a CSV file, specifically named
WorldHappiness_Corruption_2015_2020.csv, with a file size of 76.53 kB. It contains 13 columns and is structured in a long data format, merging datasets based on Country and Year. It includes 792 valid records, covering data for 132 unique countries across the years 2015 to 2020. Each year has 132 records.Usage
This dataset is ideal for:
- Calculating global happiness scores.
- Identifying correlations between various socio-economic factors and happiness.
- Determining which variables have the most significant impact on happiness rankings.
- Conducting data analytics and data visualisation projects.
- Supporting psychology research into well-being and societal factors.
- Performing regression analysis to model happiness.
Coverage
The dataset covers countries worldwide with available data, encompassing 132 unique nations. Geographically, it includes regions such as Europe (29% of records), Asia (28% of records), and other continents. The data spans a time range from 2015 to 2020. It integrates perceptions from the Gallup World Poll and the Corruption Perception Index to provide insights into happiness and corruption across various demographics, albeit not explicitly by age or gender.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Researchers studying global happiness, social indicators, and corruption.
- Data analysts and data scientists seeking to explore relationships within international survey data.
- Psychologists interested in the societal determinants of well-being.
- Individuals looking for a challenging dataset to practice data correlation and influence modelling.
Dataset Name Suggestions
- Global Happiness and Corruption Analysis (2015-2020)
- World Happiness & Corruption Perceptions
- International Well-being and Governance Data
- Country Happiness Index with CPI
- Happiness Correlates 2015-2020
Attributes
Original Data Source: World Happiness & Corruption Perceptions
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