Abstract: Objective To explore the relationship between daily temperature range (DTR) and cardiovascular disease (CVD) mortality in Yinchuan. Methods The total death data and meteorological data, in the course of Jan 1, 2010 and Dec 31, 2015, were obtained from relevant local authorities. A poisson regression with distributed lag non-linear model (DLNM) was adopted to analyze the relationship between DTR and daily cardiovascular mortality. Results The relationship between DTR and daily cardiovascular mortality presented a "J" shape curve, the mortality increased with the rise of DTR, and 20℃ was an inflection point. The extreme high DTR sustained its effect on mortality of cardiovascular disease only in 2 day, reached its maximum at lag 1 day(RR=1.054,95% CI:1.006-1.104), in particularly, males and younger than 65 age group might be more susceptible to be affected by DTR. In warm seasons, the overall effects of extreme DTR reached its maximum at lag 2 days (RR=1.105, 95% CI:1.034-1.182), in which the effects on mortality were larger than that of annual. Additionally, males and each age group might be susceptible to DTR. In cold seasons, the extreme DTR only had a dangerous effect on the group younger than 65 year olds (RR=1.144, 95% CI:1.005-1.303). Conclusions In Yinchuan, the effects of DTR on cardiovascular mortality were nonlinear and had delay effects. When DTR approached 20℃, the mortality of CVD significantly increased. Males and people younger than 65 years were more sensitive to the extreme high DTR. Those results indicate that formulating intervention strategy for sensitivity sub-groups is one of the effective methods, which can prevent the mortality of CVD caused by high DTR.