Abstract: The China-Pakistan Economic Corridor is the pilot and key area of China’s “Belt and Road” initiative. In this area, extreme precipitation events are the main cause of frequent floods. It is necessary to research extreme precipitation events to promote effective risk management and the smooth implementation of China’s “Belt and Road” strategy. In this study, the daily precipitation data set of 0.25°×0.25° of CPEC was used to identify extreme precipitation events from three aspects, such as intensity, area, and duration. The correlations between the three-dimensional characteristics of the IAD envelope of extreme precipitation events were analyzed, and the changing trend of extreme precipitation in the China-Pakistan Economic Corridor over years was quantified. The results showed that: 1) Differences in the duration of extreme precipitation were significant among different regions, indicating that the extreme degree of precipitation in different regions is different. 2) From 1961 to 2013, the annual average temperature in the study area increased at the rate of 0.415°C/10a, and the annual precipitation in the China-Pakistan Economic Corridor showed a fluctuating upward trend; 3) The frequency of extreme precipitation events had obvious double peaks within a year. The dry and rainy seasons from February to April and July to August were the periods of extreme precipitation with high incidence events, accounting for 68.8% of the whole year. The number of extreme precipitation events fluctuated and increased year by year, but the increasing trend was not significant; 4) The single impact area of extreme precipitation events lasting for 1 d showed an obvious upward trend, the other events were in a fluctuating state, while the trend was not obvious, and the impact range of extreme events was further expanding with time; 5) At the same time, the relative intensity of extreme precipitation events lasting for 1 d had an obvious increasing trend, and the relative intensity of extreme precipitation events lasting for 3d also increased, but not obviously. The relative intensity of events lasting for 5 and 7 d had no significant trend and fluctuates. On the whole, the intensity of extreme precipitation events increased. 6) In contrast, the impact area of extreme precipitation events lasting for 1 d was the largest, while the average impact area was about 1.5 times that of other time scales, and the event intensity was the smallest. The correlation coefficient between extreme precipitation event intensity and impact area was 0.47 for 1 d, 0.58 for 3 d, 0.49 for 5 d, and 0.47 for 7 d. It indicates that the intensity area relationship of extreme precipitation events in the case of continuous 3 d could better reflect the relationship characteristics of extreme events, which was more representative. The continuous 3 d rainfall could be used as an important index for risk assessment of extreme precipitation events. This paper is helpful in understanding the temporal and spatial distribution laws of extreme precipitation events in the China-Pakistan Economic Corridor in different durations, plays a guiding role in assessing natural disasters caused by extreme precipitation events, and provides valuable information on the prediction of precipitation in the Indus River basin.