IJPDS International Journal of Population Data Science

Depression is one of the most common mental health challenges in the United States, affecting millions of people every year. But beyond the personal suffering it causes, depression is also a growing public health and economic crisis. A new study published in the International Journal of Population Data Science (IJPDS) by researchers at Rauf Denktas University projects that, by 2030, depression will cost the U.S. economy more than $540 billion annually and contribute to nearly 3,000 premature deaths each year.

The research analysed national health and economic datasets, including the Behavioural Risk Factor Surveillance System, the National Survey on Drug Use and Health, and the Healthcare Cost and Utilization Project. By applying statistical models to trends in prevalence, healthcare use, and mortality, the study estimated the long-term financial and human costs of depression between 2023 and 2032.

The findings reveal that the burden of depression is not limited to medical treatment expenses. Indirect costs—such as lost productivity in the workplace, higher unemployment, and premature deaths—make up a significant share of the projected total. These combined impacts create a cycle of disadvantage, hitting vulnerable and low-income populations the hardest.

While advances in mental health awareness and treatment options have been made, the study highlights that depression remains underdiagnosed and undertreated. This gap contributes to worsening outcomes for individuals and drives up national healthcare spending.

The study concludes that early intervention, better access to care, and targeted policies are essential to reducing both the economic burden and the human toll of depression. Without stronger action, depression will continue to place enormous strain on families, communities, and the healthcare system over the coming decade.

Lead author, Lawrence A. Farinola said, “Depression is far more than an individual health issue—it is a societal challenge with deep economic and human costs. By investing in prevention and treatment today, we can save billions of dollars and thousands of lives tomorrow.” 

 

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Assist. Prof. Dr. Lawrence A. Farinola, Faculty of Architecture and Engineering, Department of Software Engineering, Rauf Denktas University, Northern Cyprus

Farinola, lawrence and Ayodeji, I. T. (2025) “Projecting the Economic and Mortality Burden of Depression in the United States: A 10-Year Analysis Using National Health Data”, International Journal of Population Data Science, 10(1). doi: 10.23889/ijpds.v10i1.3046.