Asfia Fathima, Bandaru Priyanka, Sheema Sadiya, Mrs J Harika
Every year, road traffic accidents claim roughly 1.35 million lives worldwide. Although government data is crucial for monitoring progress toward SDG Target 3.6, frequent under-reporting routinely distorts public safety policies. To uncover these hidden vulnerabilities, this paper examines a 2020 dataset of 74,881 traffic collisions using Tableau-driven visual analytics. By cross-referencing environmental, demographic, and financial variables, our analysis reveals that wet and icy road conditions trigger massive economic losses topping $98 million, motorists between the ages of 41 and 60 suffer the highest mortality rates, and medical expenditures peak at nearly $193 million. Ultimately, this study highlights how interactive business intelligence can fill critical information gaps and support targeted, proactive interventions for global injury prevention.