(Again, I note that while there are still some vote tallies yet to be certified, the overall shares of the vote at the metro level are unlikely to change much at this point). Where data was missing, we used data from Simon Rogers, data editor at Google News Lab. Our main source was Dave Leip’s county-level election results. This is a list of countries and dependencies ranked by population density, sorted by inhabitants per square kilometre or square mile.The list includes sovereign states and self-governing dependent territories based upon the ISO standard ISO 3166-1. ![]() Figure 2b shows how at County level, the red/blue. This means that large, sparsely populated states like Montana with its 3 electoral votes appear to be more prominent on the map than geographically smaller, but more densely populated states such as Massachusetts, which casts 11 electoral votes. Population density (people per km 2) by country. Figure 2: 2012 US Election results mapped using different techniques (sources: Newman, 2012 Axis Maps, 2012 Nelson, 2012) The use of a Mercator projection (or Web Mercator on a web map) further distorts the areas of the states and compounds the visual problems seen in Figure 1 (Figure 2a). While they look completely different, these two maps use the same data, and are technically both 'correct' Choropleth map in the West Wing vs. It is the only state that borders both the Gulf of Mexico and the Atlantic Ocean. President Trump famously hung a choropleth map of 2016 election results in the West Wing, while Democrats may tend to prefer a cartogram or dot density map. My Martin Prosperity Institute ( MPI) colleagues arrayed the county-level data to the country’s 350-plus metros using data from two sources. In this map, visual weight is based on the size of each state, rather than on the number of votes. Florida is a state in the Southeastern region of the United States, bordered to the west by the Gulf of Mexico Alabama to the northwest Georgia to the north the Bahamas and Atlantic Ocean to the east and the Straits of Florida and Cuba to the south. As I noted previously, election returns are not typically collated by metro area, but county-level results are available. These visualizations look at presidential votes by county and the effect of county. The visualization was created using the open-source plotly javascript graphing library. ![]() I wanted to take a closer look at the metros that went for Trump versus Clinton. The 2020 county-level election data is downloaded from the New York Times county election data API and processed using a python script. Overall, the 2016 election served to harden and solidify America’s enduring fault lines of class and geography, knowledge, and density. Hillary Clinton won the largest metros, but Donald Trump carried more of them, as well as rural and micropolitan places. In a recent piece for CityLab, I charted the broad patterns of the 2016 presidential election results across America’s metro areas.
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