This project analyzes the U.S. NOAA Storm Database to identify which weather event types have been the most harmful to human health and which have caused the greatest economic damage across the country. Using R, the data was cleaned and transformed to calculate total fatalities, injuries, and economic losses (property and crop damage). Tornadoes were found to cause the most injuries and fatalities, while floods and hurricanes resulted in the highest economic costs. The analysis uses bar plots to clearly present the top 10 event types in both categories, aiming to help policymakers prioritize disaster preparedness.