The map above is one of several attempts to improve on the somewhat famous 2016 US Presidential Election Map which you can see below.
The map above is an early attempt to solve the issue by showing vote share by county instead of just showing winner takes all.
Based on that it seems fair that Trump won the 2016 election. Trump won approximately 2,600 counties compared to Clinton only winning around 500. However those 500 counties had a lot more people, which is why she received over 2.8 million more votes than Trump.
Therefore the map at the top of the page and the maps below try to visualise this discrepancy.
The Muddy Waters map leverages Color Theory to express vote margins and vote populations in a 2-dimensional scale. In particular:
Horizontal scale represents vote margins. Vertical scale represents vote totals.
Lightness (Vertical Scale)
The lighter counties had fewer votes. The darker counties had more votes.
Hue + Saturation (Horizontal Scale)
The closer a county gets to gray, the closer the votes were 50:50. So a highly saturated red county was won by Trump with high percent vote margins. A highly saturated blue county was won by Hillary with high percent vote margins.
You can read the full post here, which is really interesting.
The two other maps below also try to tackle this issue:
Each circle is centred over a county. The colour is who won (blue = Clinton / Red = Trump) and the size is the absolute margin of victory. You can see an interactive version here.
Finally, as Jack Miller put it: “Land doesn’t vote. People do.”
Find these maps interesting? Please leave your comments below and share on social media:
Harmon says
Jack Miller is wrong. One purpose of the Constitution was to keep democracy from turning into mobocracy, and a federal republic translating people votes into land votes was the mechanism chosen for that. On the whole, this has worked, despite slaveholder rebellion & progressive tinkering. If we survive the current madness, it will be because land has a vote.
Karen says
Very well said!!!
Andre says
Agreed. Just did an interesting thing. Grabbed the county vs party map (red or blue) and then over-laid onto that the mean income map (from light green – low income, to dark green, high income). By using the layer mode you can mix the two together. Very interesting results – and I think you can guess what I saw.
Ep21 says
Well said, Harmon.
John D. says
Typo: 1st sentence of the 1st paragraph
following the BoMcCready Map.
Each circle is centered over a country.
S/B county!
Brilliant Maps says
Thanks now fixed!
James Collier says
Only a map that shows Trump won, and by a lot (electoral college) is accurate.
Derek Graham says
Maps can be used to distort almost anything. A simple example was using a projection of a map of the world which distorted the size of the British Empire (mainly Canada) thus providing a propaganda tool.