This study focuses on the role of local climate conditions in spurring interregional migration in China over the period 2000 to 2010. We developed a robust empirical approach based on a correlated random effects model and a prefecture-level panel dataset which allows us to account for both within province migration flows and prefecture-specific characteristics. Empirical results reveal that climate conditions are important determinants of migration in China. Specifically, prefectures with warmer winter, cooler summer, and more available sunshine are more attractive to migrants. Economic factors such as income level and employment opportunities are also important drivers of population growth.