Abstract: In order to understand the differences in precipitation observation data of different precisions and the risk of causing disasters and give full play to the early warning role of fine precipitation observation for heavy precipitation, this study utilized hourly and daily precipitation data from 61 national meteorological stations (abbreviated as national stations) and 1 785 provincial meteorological stations (abbreviated as provincial stations) in Liaoning Province from 2007 to 2022, compared the distribution characteristics of monthly and flood season precipitation, maximum daily precipitation, the number of rainstorm days and annual rain-waterlogging index of the two stations. The main results are as follows. (1) The monthly and flood season precipitation of national stations and provincial stations in Liaoning Province show good consistency and significant correlation from 2007 to 2022. The precipitation in flood season all showed an increasing trend and the increase rate of provincial stations was faster than that of national stations. The average rainfall in flood season of the two types of stations is similar, but significant difference in extreme precipitation, the maximum precipitation in flood season at provincial stations is higher than that at national stations. (2) The interannual variations in the extreme and average values of the maximum daily precipitation at the two types of stations were relatively consistent, showing an increasing trend. The spatial distributions of maximum daily precipitation at the two types of stations are relatively consistent. However, provincial stations in central and eastern Liaoning Province have more high-value and low-value centers of small scale than national stations, heavy precipitation is more likely to occur in Liaoning Province. Most of the maximum daily precipitation extremes occur in the provincial stations, strong locality, which are significantly higher than the national stations. (3) Both the number of rainstorm days and the annual rain-waterlogging index of national and provincial stations increased from northwest to southeast. The high value area of annual rain-waterlogging index of the two types of stations are mainly located in Dandong and the southeast of Dalian, which are prone to direct and secondary disasters caused by rainstorm. (4) Due to the small number of national stations and low spatial resolution, the extremes of precipitation events are likely to be underestimated, and the provincial stations can accurately depict the detailed characteristics of precipitation in the local regions of Liaoning Province, and monitor more extreme precipitation events that can not be collected by national stations.