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This project investigates the relationship between education levels and unemployment rates across selected Asian countries using statistical analysis and data visualization in SPSS.

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๐ŸŽ“ Education vs Unemployment in Asia (2019โ€“2022)

This project investigates the relationship between education levels and unemployment rates across selected Asian countries using statistical analysis and data visualization in SPSS. The primary focus is to explore whether higher education correlates with reduced unemployment, with a deeper country-level analysis, especially for India.


๐Ÿ“Œ Objectives

  1. Examine unemployment trends in Asian countries from 2019 to 2022
  2. Investigate education level distribution in those countries
  3. Analyze the relationship between education levels and unemployment rates
  4. Explore India's case of rising unemployment among educated individuals

๐Ÿ—ƒ๏ธ Dataset

Key Variables Used:

Variable Description
Country Selected Asian countries
EduLevel Education level: Below secondary, upper secondary, tertiary
Year Time period (2019โ€“2022)
UnemploymentRates Percentage unemployment rate

๐Ÿง  Analysis Methodology

  • Tool Used: IBM SPSS Statistics
  • Steps:
    • Variable Identification
    • Data Cleaning & Labeling
    • Descriptive & Frequency Statistics
    • Cross-tabulation Analysis
    • Visualization (Charts, Line Graphs, Bar Graphs)

๐Ÿ“Š Key Insights

  • Asian Average Unemployment Rate (2019โ€“2022): ~4.42%
  • Education Distribution: Tertiary (37.5%) was the most common education level
  • COVID Impact: Unemployment spiked in 2021 due to the pandemic
  • Country Trends:
    • Turkey & Israel: Higher education correlated with lower unemployment
    • India: Unemployment increased with higher education levels, indicating educated unemployment
    • Indonesia: Non-linear trend, suggesting mismatch between education and job market demand

๐Ÿ‡ฎ๐Ÿ‡ณ Spotlight on India

India demonstrates a rising unemployment rate as education levels increaseโ€”highlighting critical issues like:

  • Overqualification
  • Underemployment
  • Skill-market mismatch

๐Ÿ‘‰ Suggests need for curriculum reform, job creation strategies, and improved industry-academia alignment.


๐Ÿ“ฆ Repository Structure

edu-unemployment-asia/

  1. data/ # Raw and cleaned CSV datasets (2019โ€“2022)
  2. spss-files/ # SPSS syntax files, output files, and .sav dataset
  3. analysis-report/ # Summary tables, charts, and key findings
  4. README.md # Project documentation (this file)

๐Ÿ“Œ Conclusion

The correlation between education and unemployment in Asia is non-linear and context-specific. While some countries benefit from higher education in reducing unemployment, others (like India) face the challenge of educated but unemployed youth. Policymakers must go beyond the assumption that education alone guarantees employment.

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This project investigates the relationship between education levels and unemployment rates across selected Asian countries using statistical analysis and data visualization in SPSS.

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