This research builds upon and extends earlier research by studying whether people leave their homes and migrate to other states due to weather changes associated with climate variability. In particular, I examine how push and pull factors jointly influence emigration. Empirically, the theoretical arguments are analysed quantitatively with time-series cross-section data on transnational migration since the 1960s. The results suggest that climate indicators are strongly and robustly associated with transnational migration. The dyadic nature of the analysis allows for a close examination of patterns across pairs of countries by clearly distinguishing between “source” and “destination.” Controlling for unobserved influences via country and year fixed effects, as well as a series of robustness checks, further increases the confidence in this finding. This research substantially improves our understanding of climate-induced migration and emphasizes that it is, in fact, a global phenomenon.