Abstract
We investigate the 2016 Presidential Election using the county as the
unit of analysis to examine the variance in the percentage of votes cast
for Clinton, Trump and voter turnout. Our independent variables
conceptually relate to race, education, wellbeing, age, rural-urban
continuum and international migration. We found that over 50% of the
variance in vote outcome for Clinton and Trump is explained by race,
education, economy and the physical health of the county population.
Almost 50% of the variance in voter turnout is explained with the same
variables plus age. The regression results showed that Trump voters
tended to be more white, less educated, not poor, and unhealthy compared
to Clinton voters.