Identifying Low Voter Turnout and High Commute Times in Ohio

Using Python, ACS data and the Ohio voter file from NationBuilder, I identified a marginally-won state congressional district in Ohio and analyzed it for voter turnout and commute times. This methodology is a proof-of-concept that political campaigns can target districts with certain issues, in this case high average commutes, for campaigning. At the same time, they can spend campaign resources in areas with low turnout, reaching discouraged voters or individuals not accustomed to direct acknowledgement of their issues.