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International Well-being Data
Mental Health & Wellness
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About
The happiness index of countries between 2016 and 2022. It offers an overview of well-being and life satisfaction for individuals across different nations over a seven-year period. This dataset is valuable for analysing trends in well-being and life satisfaction over time and across various countries. It can also facilitate comparisons of happiness index scores between nations and help identify potential correlations with other factors such as income, social support, and personal freedom. It is important to acknowledge that happiness is a subjective measure, and the data may be influenced by cultural differences in perception, survey methodologies, and the precision of data collection.
Columns
The dataset features 15 columns, with each row representing a single country's happiness index score for specific years. Happiness scores typically range from 0 to 10, where a higher score signifies a greater level of happiness. Key columns include:
- Country or region: Identifies the specific country or region. For example, in 2019, there are 156 unique values, with Finland being a commonly occurring entry.
- Overall rank_YYYY: The overall happiness rank for a given year. For example, Overall rank_2019 has 156 valid entries with a mean rank of 78.5.
- Score_YYYY: The happiness index score for a given year. For instance, Score_2019 has 156 valid entries, a mean score of 5.41, and scores ranging from 2.85 to 7.77.
- Rank_2018: The ranking for the year 2018, with 151 valid entries and a mean rank of 78.2.
- Score_2018: The happiness score for 2018, with 151 valid entries, a mean of 5.38, and scores ranging from 2.90 to 7.63.
- Rank_2017: The ranking for the year 2017, with 148 valid entries and a mean rank of 78.1.
- Score_2017: The happiness score for 2017, with 148 valid entries, a mean of 5.36, and scores ranging from 2.69 to 7.54.
- Rank_2016: The ranking for the year 2016, with 146 valid entries and a mean rank of 79.0.
- Score_2016: The happiness score for 2016, with 146 valid entries, a mean of 5.38, and scores ranging from 2.90 to 7.53.
- 2020.Rank: The ranking for the year 2020, with 148 valid entries and a mean rank of 77.3.
- 2020_Score: The happiness score for 2020, with 148 valid entries, a mean of 5.47, and scores ranging from 2.57 to 7.81.
- Rank_2022: The ranking for the year 2022, with 142 valid entries and a mean rank of 73.8.
- Score_2022: The happiness score for 2022, with 142 valid entries, a mean of 5.53, and scores ranging from 2.52 to 7.84.
- 2021. score: The happiness score for 2021, with 143 valid entries, a mean of 5.53, and scores ranging from 2.52 to 7.84.
- 2021.Rank: The ranking for the year 2021, with 143 valid entries and a mean rank of 75.3.
Distribution
The dataset is typically provided in a CSV format, with a file size of approximately 11.4 kB. It is structured with each row representing a single country and its corresponding happiness index scores and ranks over the years. The number of records varies annually due to differences in data availability, with valid entries ranging from 142 to 156 countries per year. There are a total of 15 columns.
Usage
This dataset is ideal for:
- Conducting trend analysis on well-being and life satisfaction across global nations.
- Making cross-country comparisons of happiness index scores.
- Investigating correlations between happiness and socio-economic factors like income, social support, and personal freedom.
- Supporting academic research in social sciences and economics.
Coverage
The dataset covers countries globally, with a time range spanning from 2016 to 2022, offering a seven-year historical perspective. The scope focuses on the well-being and life satisfaction of individuals. Please note that data availability for certain years may have missing entries, with up to 14 missing records in some years.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Researchers: For in-depth studies on global happiness, well-being, and related factors.
- Data Analysts: To explore patterns, trends, and comparisons in international life satisfaction.
- Policy Makers: To inform decisions related to social support, public health, and human rights.
- Students and Educators: As an accessible resource for learning and projects, particularly for beginners in data analysis.
- Economists: To examine the relationship between economic indicators and happiness.
Dataset Name Suggestions
- Global Happiness Index: 2016-2022
- World Happiness Scores by Country (2016-2022)
- International Well-being Data
- Country Life Satisfaction Trends
Attributes
Original Data Source: International Well-being Data
QUALITY