The Fifth Assessment Report (AR5) was released by the Intergovernmental Panel on Climate Change (IPCC) in 2013, and new observations have further proved that the warming of the global climate system is unequivocal. The influence of natural climate variability and anthropogenic climate change can contribute to disaster, and the integrated risk assessment could increase resilience to the potential adverse impacts of climate extremes. Using daily temperature, relative humidity and precipitation data of meteorological stations in Beijing- Tianjin-Hebei Region and its surrounding areas, this article attempts to describe spatiotemporal clustering characteristics of drought, heavy rain and heat waves during 1960-2013, based on space-time clustering and other analysis method. The results show that: Before the year of 2000, drought and hot waves presented a negative anomaly, and heavy rain was frequently determined in the study area. After the year of 2000, it showed obviously increasing trend for drought and hot waves, the frequency of heavy rain declined significantly. Spatially, synthesized multi-hazard assessment, the southeast coast and western mountainous area were relatively higher risk than the middle plain. Different periods of drought, heat waves and heavy rain in Beijing-Tianjin- Hebei Region had different coupled pattern. Drought and heat waves were highly overlap in northern coastal areas, northern Yanshan Mountains, western Taihang Mountains and southern plain. As for cities like Beijing, Tianjin and Baoding in the middle plains, it was multi-disasters overlapping low risk region, where spatiotemporal clustering of drought, heavy rain and heat waves were relatively little. The gravity center migration of heat wave, drought and heavy rain showed the counterclockwise of spiral change in Beijing-Tianjin-Hebei Region. Before 1980s, the gravity center moved form southwest to northeast coast region; After 1980s, it begun a second counterclockwise migration, drought, heavy rain and heat waves showed the aggregate trend on the middle plain.