Today, print subscribers to the New York Times were treated to a fold-out map showing a choropleth map of the 2012 election results at the ZIP code level (above). “The map is part of a special election section that aims to help explain the political geography of the United States — identifying where people who are conservative and liberal live and pointing out how physical boundaries, like the Rio Grande and the Cascade Mountains, often align with political ones,” writes the Times’s Alicia Parlapiano.
Parlapiano’s piece is in fact a lengthy tutorial on how to read election maps, along the lines of the pages I linked to in last week’s post on election map cartography—it outlines the problems of state-level election maps and choropleth maps that privilege area over population, for example, and shows some other ways of depicting the results.
The map may not look advanced today, but in 1883 it broke new ground by enabling Americans to visualize the spatial dynamics of political power. Readers responded enthusiastically. One reviewer pointed to the Republican counties in Arkansas—something left invisible on a map of the Electoral College returns—and wondered what other oddities of geography and history might be uncovered when election returns were more systematically measured. In other words, the map revealed spatial patterns and relationships that might otherwise remain hidden, or only known anecdotally. Perhaps its no coincidence that at the same time the two parties began to launch more coordinated, disciplined, nationwide campaigns, creating a system of two-party rule that we have lived with ever since.
(This map also inverts the modern colours for the two main U.S. political parties: here the Democrats are red and the Republicans are blue. Those colours were standardized only fairly recently.) [Geolounge]
For other ways of mapping election results, see this gallery of thematic maps, which includes things like 3D choropleth maps, dot density maps, and all kinds of variations on cartograms and choropleth maps. There’s more than one way to map an election. [Andy Woodruff]
Earlier this month FiveThirtyEight built a county-by-county model showing where both Hillary Clinton and Donald Trump’s “upside potential” — by which they meant where they would each benefit from the shifts in the electoral landscape. Compared to 2012, Clinton is underperforming with non-college-educated whites and Trump is underperforming with Asians, African-Americans, Latinos and college educated whites.
To get a handle on how these shifts could affect the electoral landscape, we modeled how many of Romney’s votes came from college-educated whites and minorities and how many of Obama’s votes came from non-college-educated whites in each state, county and congressional district. The difference between these two vote totals, shown in the map above, can tell us where Clinton and Trump have the most potential to build on 2012.
The authors went on to game out what that might look like in terms of the electoral vote if one in five voters in those shifting groups switched allegiances.
A pronounced gender split is emerging in the 2016 U.S. presidential election. Based on national polls in October, Nate Silver writes, “on average, Clinton leads Trump by 15 percentage points among women while trailing him by 5 points among men. How would that look on the electoral map?” Silver does a quick-and-dirty estimation by adding or subtracting 10 points to/from the FiveThirtyEight forecast. Moving 10 points to Clinton’s column approximates what the electoral map would look like if only women voted:
Moving those 10 points to Trump’s column approximates the results if only men voted:
You’ve almost certainly seen these maps make the rounds of social media. This is where they came from and how they were made.
The Berliner Morgenpost has an interactive map showing the results of the Berlin state elections held on 18 September 2016. (Berlin is a state in its own right.) The choropleth map is shaded to show the margin of plurality; more information is given when you hover over or click on a particular district. The biggest gains were made by the right-wing Alternative für Deutschland and liberal Freie Demokratische Partei; the Pirate Party, which won 15 seats in 2011, was wiped out. [Maps Mania]
Spain held elections for its legislature, the Cortes Generales, on Sunday. Spain’s Congress of Deputies is elected via proportional representation, so the constituency map model we’re used to in anglophone countries doesn’t apply. How then are the results mapped? If the interactive maps from El Mundo (see screencap above) and El Diario are any indication, by municipality. El Mundo’s map also allows you to filter by political party and toggle between municipal and provincial results (Senate seats are by province); El Diario’s has some simple demographic filters. [Maps Mania/Maps on the Web]
The BBC’s election night map is bare-bones, showing which side won which local authority, but not by how much. Appropriate for the moment, and for finding your locality, but not necessarily very revealing.
But the EU referendum isn’t like a general election, where each electoral district has roughly the same population, and counts the the same in parliament. In this case it’s the raw vote numbers that count, and local districts can vary in size by as much as a couple of orders of magnitude. So the Guardian’s approach (at right), a hexagon grid that combines a choropleth map with a cartogram to show both the margin of victory and the size of the electorate, is probably most fit for purpose in this case.
I’m actively looking for other maps of the EU referendum results. Send me links, and I’ll update this post below.
Geoffrey Skelley compares the percentage of the Democratic primary vote won by Hillary Clinton in 2008 with the percentage she won in 2016: among other things, she was up sharply in the Deep South and down sharply in the industrial Midwest and Appalachia. “While the universe of voters participating in 2008 and then 2016 changed considerably thanks to mobility, interest, and mortality, our map suggests that many ’08 Clinton voters became ’16 Sanders voters, and many ’08 Obama voters became ’16 Clinton voters.” [Daily Kos]
Land does not vote and we can’t judge gerrymanders simply based on geometry. Districts aren’t just abstract shapes on a map, but collections of actual people and voters. Ultimately, the outcomes produced by a particular map matter far more than a map’s appearance. Comparing the actual congressional districts to plausible alternatives in Maryland and other states demonstrates both how gerrymandering is more complex than merely grotesque shapes, and that Maryland is far from the worst partisan gerrymander nationwide.
BuzzFeed’s Jim Waterson calls out a map making the social media rounds that purports to show the results of the 2016 local elections in the U.K. Only it doesn’t. It’s apparently being spread by Labour supporters keen to defend their party’s performance in the elections and convinced their party is receiving unfair media treatment—and of course, people tend to believe what they want to believe. Waterson goes on to show how to make a fake map of your very own. [Thierry Gregorius]
First, there are now seven distinct super-regions, defined by common economics and demographics, like the Pacific Coast and the Great Lakes. Within these, in addition to America’s main metro hubs, we find new urban archipelagos, including the Arizona Sun Corridor, from Phoenix to Tucson; the Front Range, from Salt Lake City to Denver to Albuquerque; the Cascadia belt, from Vancouver to Seattle; and the Piedmont Atlantic cluster, from Atlanta to Charlotte, N.C.
Federal policy should refocus on helping these nascent archipelagos prosper, and helping others emerge, in places like Minneapolis and Memphis, collectively forming a lattice of productive metro-regions efficiently connected through better highways, railways and fiber-optic cables: a United City-States of America.