Correlation between socioeconomic factors and mental health issues in different countries

This project aims to explore the relationship between the social conditions of different countries and the prevalence of mental disorders. By integrating multiple datasets, including mental health statistics, economic indicators, and demographic variables, we analyzed patterns and potential correlations to gain valuable insights.

To facilitate this analysis, we developed an interactive dashboard featuring various visualizations that compare different variables. The final dataset includes:

Demographic & Geographic Data: Country ISO code, country name, age range, sex, rural population percentage.

Health Indicators: AVD for mental disorders, suicide mortality rate (2019), life expectancy at birth.

Economic & Social Indicators: HDI value, rank and classification, GDP, GDP per capita (PPP, constant 2021 dollars) and GDP classification, Gini Index (classified as high/not high), unemployment rate (ILO estimate, 2021).

By combining these diverse data sources, the project provides a comprehensive understanding of how social and economic conditions influence mental health outcomes globally.

This work was developed as part of a course in our degree program.