This study presents an integrated flood hazard assessment for Makkah, Saudi Arabia, using statistical and geospatial modeling techniques. Extreme precipitation events in the region were analyzed using the Gumbel distribution to estimate recurrence intervals and the probable maximum precipitation, providing a statistical basis for understanding flood risk under extreme conditions. Maximum rainfall data were obtained using remote sensing techniques, ensuring a comprehensive evaluation of precipitation patterns. A high-resolution Digital Elevation Model (DEM) with a 12.5-m resolution was utilized to enhance the accuracy of floodplain delineation and risk mapping, ensuring precise spatial representation of the topography and flood-prone areas. Geospatial analysis and floodplain mapping were performed using QGIS, which facilitated the visualization of flood hazard zones. By integrating statistical analysis, remote sensing techniques, and geospatial tools, this study offers a comprehensive approach to flood hazard assessment. The results not only identify high-risk zones but also provide a valuable framework for flood risk management, urban planning, and disaster mitigation. This methodology highlights the potential for combining advanced analytical tools and high-resolution data to address complex flood-related challenges effectively. Moreover, this study draws attention to the flood risk in the Makkah region and highlights that the Kaaba is under potential flood hazard, thereby making a significant contribution to regional flood risk research.