In the past 20 years, the northern Gulf region has been hit by major urban flooding events, leading to growing concerns of how natural disasters, floods and hurricanes, effect human migration. In these disasters, damages tally to billions of dollars and raise concerns about flooding related population displacement. There are also questions of whether there are predictable “receiving communities” for out migration from disaster exposed areas. Using the Communing Zone migration networks of areas affected by Katrina-Rita, the 2016 Louisiana Floods, and Harvey as case studies, we address the first question with a difference-in difference analysis of migration from flood exposed Census tracts and matched control tracts using aggregated address-level micro-data from Infotur, and test for heterogeneous effects in socially vulnerable areas. For robustness, we also innovate on past migration studies, with the incorporation of network metrics. This helps us with the first question, to better match flooded and non-flooded tracts for pre-event similarity in terms of pre-event network position, and with the second question by allowing us to test if the patterns of migration shift, and to identify if new receiving areas emerge as relatively more central in the post-event migration network. This study contributes to the incorporation of novel data sources, network methodologies, and regional knowledge of migration responses to flooding.