But that’s the wrong place to look. Education mattered more than anything else, it appears, even when controlling for economic factors.
States submitting their final election returns have made it possible to dig deeper into local ballots, combining Census demographics and county-level turnout to make conclusions with statistical heft. The chart below tracks 15 demographic factors and the relative strength they held in this election, as modeled through linear regression (and controlling for total votes and Mitt Romney’s 2012 turnout, which strips away some predictable partisan patterns):
What Predicted Donald Trump's Success?
These are the county demographics that mattered most in the election, according to an analysis using county ballot counts and Census records. They're scaled to their relative importance, and split by statistical significance.
Some helped Trump, and others hurt him.
Some helped Trump, and others hurt him.
High significance
More college grads
Larger Asian population
Larger Hispanic population
Larger black population
Larger immigrant population
Median income dropped
Bigger manufacturing base
More homebodies
Lost manufacturing jobs
Hispanic population grew
Richer
Moderate significance
Unemployment rate, men
Low significance
Unemployment rate, women
Rate of drug overdose
Denser neighborhoods
Why Did Americans Without College Degrees Vote For Trump? - The Atlantic
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