"The present work used the geotracking data of approximately 15 million people per day across the United States to examine whether partisan identity is linked to objective measures of physical distancing during the coronavirus pandemic. We found that Republican-leaning counties exhibited lower physical distancing than Democratic-leaning counties, both in terms of reducing their overall movement and reducing their visiting of non-essential services (e.g., restaurants, clothing stores). Counties that voted for Trump in the 2016 election exhibited a ~24% drop in general movement and visiting non-essential services between 9 March and 29 May 2020, while counties that voted for Clinton exhibited a ~38% drop (a 14% difference in physical distancing). Moreover, this partisan gap remained consistent after adjusting for numerous third variables, including counties’ number of COVID-19 cases per capita, population density, median income, wealth distribution, travel time to work, and racial and age make-up, among other factors. These data suggest that partisan differences in self-reported attitudes toward COVID-19 (refs) are mirrored by behavioural differences at the US county level."