Poster Paper:
Assessing Bank Branch Accessibility: Using the Locally-Determined Distance Threshold Methodology
*Names in bold indicate Presenter
This methodology is particularly useful for anyone interested in variation in neighborhood access to bank branches and the identification of areas with limited access to bank branches. The LDT methodology uses Federal Deposit Insurance Corporation (FDIC) bank branch data published annually as the Summary of Deposits (SOD) database, together with population data from the U.S. Census, organized and distributed by the Federal Financial Institutions Examination Council (FFIEC).
This paper presents the construction of the LDT and illustrates its use, using Geographic Information Systems (GIS) and a series of maps. Through applying the LDT in three metropolitan areas, in combination with socioeconomic and other data, it demonstrates how the LDT improves on previous strategies in identifying individual census tracts and groups of census tracts with relatively lower access to bank branches.
The paper also demonstrates how the methodology can be used to identify census tracts with different levels of access to bank branches with concentrations of populations identified through other FDIC research as being likely to depend on branches to access bank accounts. These include, for instance, populations in lower-income households, Hispanic households, African-American households, households headed by adults with lower educational attainment, and households headed by persons aged 65 or older. As these populations are found in different spatial distributions across different metropolitan areas, this further demonstrates the importance of incorporating local context when assessing neighborhood access to bank branches and the impact of those levels of neighborhood access to bank branches on populations likely to depend on branches.