According to the observed daily precipitation data from five meteorological stations in the east Hexi Corridor during the period of 1960 - 2016, the spatiotemporal changes,extreme values and abnormal variations of rainfall and snowfall days were systematically analyzed and summarized with climatic statistic method. The results revealed that the annual rainfall and snowfall days increased from the northeast to the southwest because of the influence of altitude, topography and weather system,and the difference of snowfall days between the north and the south was much higher than that of rainfall days. Monthly variation of rainfall days was consistent,high value occurred during the period from July to August, there was no rainfall during the period from December to next January or February. Monthly variation of snowfall days was relatively consistent,high value occurred in March,and there was no snowfall during the period from July to August. Annual and inter-annual variations of rainfall and snowfall days were different,but they were generally in an increase trend,climate trend coefficients were not examined by significance level test,and the increase trend was not significant. Time series of annual rainfall and snowfall days revealed that there were the 5 - 7 year and 6 - 8 year quasi-periodic variations respectively,and they were at the significant level of reliability alpha = 0.05 test. Anomalies of annual rainfall and snowfall days were consistent,normal years occurrence probabilities were 64.9% - 70.2% and 66.7% - 73.7% respectively. Occurrence probabilities of abnormal years of rainfall and snowfall days were 29.8% - 35.1% and 26.3% - 33.3% respectively,and very many or very few rainfall and snowfall days would cause the serious effects on industrial and agricultural production and safety of life and property. This study could provide the scientific basis for preventing flood and drought disasters, scientifically utilizing water resources and conserving ecological environment,and could also provide the reference for studying climate change.