Abstract: Under the background of global climate change, extreme precipitation shows an increasing trend in many regions. Disasters associated with extreme precipitation are also increasing. In recent years, waterlogging disaster incidents in multiple city in the Eastern China shoued an increasing trend. Waterlogging disaster has caused serious economic loss of property, which seriously affected the sustainable development of society. In this research, we uses 1 638 stations dataset in waterlogging events frequency and days, and a variety of statistical methods, to diagnose the spatial and temporal variation pattern of waterlogging events in the Eastern China from 1961 to 2016. The results showed that: The waterlogging events frequency and days showed an increasing trend in the Eastern China from 1961 to 2016. In the decadal variation, the waterlogging events frequency and days were the most in 1990s, and presented an decreasing trend from 1960s to 1980s. The waterlogging events frequency and days had 6 years and 30 years periodic oscillation characteristics in the Eastern China from 1961 to 2016 and mutation occurred in 1991. The waterlogging events frequency and days in the Eastern China from 1961 to 2016 mainly concentrated in Southern China, Western and Southern Yunnan, Northern Jiangxi, Southern Zhejiang, Northern Fujian, Hunan and Chongqing border region, Northern Sichuan and Eastern Liaoning regions. The waterlogging events frequency and days showed significant increasing trend in the southeast coastal region, and fluctuations characteristics of the waterlogging events frequency and days presented spatial pattern with low in the southeast and high in northwest. In the future. we still need further diagnosis temporal variation characteristics of waterlogging events by taking a variety of data and methods. Our study showed that the change of waterlogging events is most likely the result of human activities and climate change action. Therefore, a variety of measures must be taken to effectively deal with flood disasters.