Why has internal migration remained low, even as advances in communication technologies have reduced information frictions in relocation decisions? This paper develops and estimates a spatial model of mobility that incorporates status quo bias in locational preferences, multilateral search frictions, and comoving regional unemployment. Using historical proxies for search frictions, we identify and recover county-level estimates of status quo bias across the United States. Status quo bias is spatially heterogeneous and highest in states containing large urban job centers. Translating these estimates into expected-utility, geographic-distance, and state-border equivalents indicates that variation in status quo bias generates migration frictions comparable to large geographic and institutional barriers. Status quo bias also exhibits strong persistence over time, a robust relationship to migration dynamics, and associations with a range of non-wage individual- and community-level correlates of locational preferences (e.g., housing, climate, and religious and political orientations). These patterns suggest that status quo bias partly reflects place-based preferences shaped by individuals' residential histories.