A comprehensive database of MWSA was established to facilitate the data management to reduce the frequency and severity of accidents in China. From 2010 to 2022, a total of 278 records, supervised by the State Council Security Committee, were collected and stored in the MWSA database. The distribution of accident characteristics was explored for the dimensions of accident time, space, industry and type, which were examined in this study. Using a comprehensive quantitative index, a quantile regression model was developed to identify factors that significantly influenced accident severity. The results show that in terms of spatial and temporal distribution, the number of accidents and deaths from June to September is at the peak, and the number of accidents and deaths on sunny days (7:00-18:00) accounts for as much as two-thirds. There are fewer accident records in Beijing, Tianjin, Jiangsu, Zhejiang, Shanghai and Fujian. Explosions and vehicle injuries notably stand out as the primary accident types. At a significance level of 0.05, the accident severity is correlated with various factors, including accident type, date, season, sunlight, weather, average temperature, company staff size and company establishment time. Weather and average temperature emerge as pivotal factors influencing low-severity accidents. Moreover, enterprises with less than 100 employees are more prone to severe accidents.