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Education, Income, and Joy Comparison Index
Education & Learning Analytics
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About
Explores the relationship between life satisfaction, educational achievement, and key economic metrics across 14 nations situated in South Asia and the Middle East. The data was constructed to investigate whether populations in developing regions can achieve high levels of happiness without corresponding high levels of wealth. Metrics included allow users to perform comparisons between "happy poor" countries and "unhappy rich" countries. The dataset combines happiness scores, literacy rates, income statistics, and social support levels.
Columns
- Country: The name of the nation (e.g., "India," "Saudi Arabia"). This column contains 14 unique values.
- Region: Classifies the nation as belonging to either South Asia or the Middle East.
- Happiness_Score: Scores on a 0–10 scale derived from the 2023 World Happiness Report (mean score is 4.8).
- GDP_per_Capita_USD: The annual Gross Domestic Product per person, measured in US Dollars, based on World Bank 2023 estimates.
- Social_Support: The national average quantifying how much residents feel they have relatives or friends to rely upon, based on Gallup polls.
- Literacy_Rate(%): The percentage of adults (aged 15 and over) who are able to read and write (UNESCO 2023). The average rate is 82.7%.
- Offline_School_Enrollment(%): The percentage of school-age children who are enrolled in formal, traditional education.
- Online_Education_Access(%): The estimated percentage of the population that utilises digital learning platforms.
- Median_Income_USD: The annual median household income, compiled from World Bank and national statistics.
- Unemployment_Rate(%): The percentage of the working-age population currently without employment.
- Poverty_Rate(%): The percentage of the population living below the national poverty line.
Distribution
The information is available in a CSV file format named
2023_SouthAsia_MiddleEast_Happiness_Education_Income.csv, with a file size of approximately 1.17 kB. The structure includes 11 columns and 14 total records, representing 14 distinct countries. Note that missing data is present for Afghanistan's GDP and income metrics.Usage
Ideal applications include:
- Comparing nations identified as "happy poor" versus those considered "unhappy rich" (e.g., contrasting Nepal's happiness score with Saudi Arabia's GDP per capita).
- Testing hypotheses regarding whether online education access correlates more strongly with happiness outcomes than traditional school enrollment rates.
- Discovering unexpected socio-economic patterns, such as a country with a high literacy rate (92.3%) also exhibiting a high poverty rate (25.6%), as seen in Sri Lanka.
- Conducting data analysis training exercises using real-world problems related to global development.
Coverage
The scope covers 14 select nations within the South Asian (SA) and Middle Eastern (ME) regions. The data points primarily reflect 2023 estimates, using sources like the 2023 World Happiness Report. Geographically, 57% of the nations fall under the Middle East classification, and 43% under South Asia. Please note that GDP and income statistics for Afghanistan are blank due to data unavailability following the change in ruling authority. The dataset is expected to be updated annually.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Teachers: Those studying the influence of education and social infrastructure on life satisfaction.
- Economists: Researchers exploring the debates surrounding the relative impact of financial wealth versus personal joy.
- Students: Individuals learning data analysis techniques and seeking datasets related to genuine global development issues.
Dataset Name Suggestions
- SA-ME Happiness & Socio-Economic Indicators 2023
- Middle East and South Asia Life Satisfaction Metrics
- Education, Income, and Joy Comparison Index
- Global Poverty and Happiness Drivers (2023)
Attributes
Original Data Source: Education, Income, and Joy Comparison Index
QUALITY