Abstract: Public service facilities are fundamental to our society, and their disruption could amplify losses and cause cascading effects during natural disasters. However, there is little knowledge about the exposure of public service facilities to natural disasters, and even less under the scenarios of multiple hazards. This study integrated big data of public service facilities into a multi-hazard exposure assessment of floods and earthquakes of China in 2021. Results show that public service facilities in China are disproportionally exposed to floods and earthquakes. Flood and seismic exposure reach 50.36% and 10.69%, which are 4.14 times and 1.05 times of the shares of the two hazard zones; in the overlapping zone 4.76% of the facilities are concentrated, 5.17 times of the overlapping zone’s share. Particularly, exposure of public service facilities is relatively high in Northwest China, where both the protection standards for floods and earthquakes are relatively weak. Furthermore, financial facilities contribute the most to flood exposure, while scientific and educational facilities contribute most to the overlapping exposure. We further propose location-specific optimization measures for different types of public service facilities. Our findings shed light on a comprehensive understanding and proper risk management of multi-hazard exposure of public service facilities. The incorporation of big data into multi-hazard exposure analysis of public service facilities can be extended to various regions, thereby offering a valuable tool for informed management of natural disaster risk.