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Joinpoint regression analysis was applied to calculate the average annual percent change (AAPC), with 95% confidence interval (CI), to evaluate global ischemic heart disease (IHD) mortality trends in 1990–2019. In 2019, there were disparities by sex in terms of the contribution of non-optimal temperature to global IHD mortality: for low temperature (5.99% in males and 6.19% in females, respectively) and high temperature (0.50% in males and 0.44% in females, respectively). A decreasing trend for global IHD mortality attributed to low temperature was observed in males (AAPC = −1.7%; 95% CI = −1.8 to −1.6) and females (AAPC = −2.1%; 95% CI = −2.1 to −2.0).