Migration between cities is typically modeled in terms of factors in each city, such as job availability or wages. This framing does not capture the diversity of information flow and social networks within a city. Instead, an "attractive" city (due to wages, etc.) is considered attractive to all potential migrants-regardless personal tacit knowledge and geolocated social capi-tal. One way to capture the diversity of decisions that may be the result of di-verse information flow and values is to measure each city's migration net-work degree. Given this notion, we explore the use of migration network degree to distinguish attractive cities for migrants. We use a network of U.S. CBSA-to-CBSA migration flows for more than 200 million people from 1990-2011. We find that certain derivations of network degree, i.e. variety of flow origins and destinations, can successfully distinguish eco-nomically-declining Post-Industrial region cities from U.S. cities at large.