The Interplay of Inflation, Healthcare Spending, and Suicide Rates: An Empirical Analysis

This paper investigates the complex interrelation between economic indicators, such as inflation and government spending, and their consequences for public health and suicide rates. Scholars and policymakers are increasingly focused on understanding how economic volatility affects individuals’ resource access and stress levels, thus influencing societal well-being. This study analyzes data from three public datasets using an ETL process developed in Python. After being stored in an Apache HBase database, this data can be visualized in interactive dashboards developed in PowerBI. The data sources include the HCPI, government healthcare expenditures, and suicide rates across different time periods and locations. Key findings highlight the impact of inflation on healthcare costs, emphasizing the need for strategic healthcare planning in the face of economic fluctuations. Moreover, the research reveals intricate relationships between suicide rates and economic variables, suggesting the importance of considering mental health and social well-being in economic policies.