Abstract:[Introduction] Wind disaster has strong sudden occurrence and great harm. It is of great significance to carry out risk assessment and regionalization research of Wind disaster for disaster prevention in various regions. [Method] Based on the disaster risk theory, using the wind observation data of 97 national weather stations in Shaanxi Province from 1978 to 2022, combined with socio-economic data and geographic information data, the index system of wind meteorological disaster risk assessment was constructed to quantitatively evaluate the wind disaster risk in Shaanxi Province. [Result] The disaster-inducing risk of wind disaster is mainly low and lower, accounting for 72.8% of the total area of the province, while the high and higher risk account for a relatively small proportion, accounting for 9.8% of the total area of the province. The wind disaster-inducing risk is highest in northern Shaanxi, followed by the high altitude area of Qinling Mountains. However, considering the environmental sensitivity, vulnerability of disaster bearing bodies and disaster prevention and mitigation ability, the wind disaster risk is mainly medium and above risk, the medium, high and higher risk all account for more than 20% of the total area of the province. The wind disaster risk is highest in northern Shaanxi, most of Guanzhong and a small part of northeast Shangluo, followed by southern Shaanxi and northern Guanzhong. According to the index distribution of risk zoning, the high risk in the northern part of Northern Shaanxi is mainly caused by the high sensitivity of disaster factors and disaster pregnancy environment, the high risk in Guanzhong is mainly caused by the highest vulnerability of disaster bearing body, and the northern Shangluo is caused by the high sensitivity of disaster pregnancy environment. [Conclusion] Densely populated areas, industrial agglomerations and high altitude areas are prone to wind disaster, and measures can be taken according to the main risk indicators that cause high risk of wind disasters to reduce the social and economic losses caused by wind disasters.