Statistical guru Nate Silver presents an analysis suggesting that it's low educational levels, rather than income, that predicts which voters voted for Trump. 'I took a list of all 981 U.S. counties with 50,000 or more people and sorted it by the share of the population that had completed at least a four-year college degree. Hillary Clinton improved on President Obama’s 2012 performance in 48 of the country’s 50 most-well-educated counties. And on average, she improved on Obama’s margin of victory in these countries by almost 9 percentage points, even though Obama had done pretty well in them to begin with.' But in the less educated counties, 'Clinton lost ground relative to Obama in 47 of the 50 counties — she did an average of 11 percentage points worse, in fact.'