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How Unusual Was 2016? Flipping Counties, Flipping Voters, and the Education–Party Correlation since 1952

Published online by Cambridge University Press:  21 August 2019

Michael W. Sances
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Abstract

Many explanations of the 2016 election result, a seemingly anomalous macrolevel phenomenon, have centered on two seemingly anomalous microlevel phenomena: many counties and citizens who had voted for Obama in 2008 and 2012 flipped and voted for Trump, and low-education whites gave more of their votes to Trump than to Clinton. In this article, I first assess the novelty of these phenomena by placing them in the context of past elections. Compared to past presidential elections, the number of flips in 2016 was not unusually large, even in the Midwestern states. In contrast, the partisan divide by education was the highest ever in 2016. Using a series of counterfactual analyses, I then assess whether these factors were pivotal. If the flipping counties had not flipped, Clinton would have won the electoral college by 3 votes, and if the lowest-educated 20% of counties voted as they did in 2012, she would have won the electoral college by about 30 votes.

Type
Special Section: Causes
Information
Perspectives on Politics , Volume 17 , Issue 3 , September 2019 , pp. 666 - 678
Copyright
Copyright © American Political Science Association 2019 

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Footnotes

He thanks Eric Groenendyk, Maia Hajj, and four anonymous reviewers for their helpful comments.

*

Data replication sets are available in Harvard Dataverse at: https://doi.org/10.7910/DVN/ZECDW0

References

Ballotpedia Editors. 2017. “Pivot Counties: The Counties that Voted Obama-Obama-Trump from 2008–2016.” https://ballotpedia.org/Pivot_Counties:_The_counties_that_voted_Obama-Obama-Trump_from_2008-2016.Google Scholar
Bartels, Larry. 2016. “2016 Was an Ordinary Election, Not a Realignment.” The Monkey Cage [blog], November 10. https://www.washingtonpost.com/news/monkey-cage/wp/2016/11/10/2016-was-an-ordinary-election-not-a-realignment/?utm_term=.ce60e300e598.Google Scholar
Bishop, Bill. 2009. The Big Sort: Why the Clustering of Like-Minded America Is Tearing Us Apart. New York: Houghton Mifflin Harcourt.Google Scholar
Bump, Philip. 2016. “The Counties that Flipped Parties to Swing the 2016 Election.” Washington Post, November 15. https://www.washingtonpost.com/news/the-fix/wp/2016/11/15/the-counties-that-flipped-parties-to-swing-the-2016-election/?utm_term=.ee6b24f5304e.Google Scholar
Cohn, Nate. 2017. “The Obama-Trump Voters Are Real. Here’s What They Think.” The UpShot [blog], August 15. https://www.nytimes.com/2017/08/15/upshot/the-obama-trump-voters-are-real-heres-what-they-think.html.Google Scholar
Galston, William. 2018. “The Populist Challenge to Liberal Democracy.” Journal of Democracy 29(2): 5–19.CrossRefGoogle Scholar
Gimpel, James G. and Schuknecht, Jason E.. 2001. “Interstate Migration and Electoral Politics.” Journal of Politics 63(1): 207–31.CrossRefGoogle Scholar
Gimpel, James Graydon and Schuknecht, Jason E.. 2009. Patchwork Nation: Sectionalism and Political Change in American Politics. Ann Arbor: University of Michigan Press.Google Scholar
Kornacki, Steve. 2015. “Ross Perot Myth Reborn amid Rumors of Third-Party Trump Candidacy.” http://www.msnbc.com/msnbc/ross-perot-myth-reborn-amid-rumors-third-party-trump-candidacy.Google Scholar
Masket, Seth. 2017. “Was the 2016 Election Actually a Political Realignment?” Vox, October 24. https://www.vox.com/mischiefs-of-faction/2017/10/24/16524034/2016-realignment-midwest.Google Scholar
McQuarrie, Michael. 2016. “Trump and the Revolt of the Rust Belt.” American Politics and Policy [blog], November 11. http://blogs.lse.ac.uk/usappblog/2016/11/11/23174/.Google Scholar
Pettigrew, Stephen. 2016. “November 2016 General Election Results (County-Level).” Harvard Dataverse. http://dx.doi.org/10.7910/DVN/MLLQDH.Google Scholar
Tam Cho, Wendy K., Gimpel, James G., and Hui, Iris S.. 2013. “Voter Migration and the Geographic Sorting of the American Electorate.” Annals of the Association of American Geographers 103(4): 856–70.Google Scholar
Taylor, Jessica. 2016. “The Counties fhat Flipped from Obama to Trump, in 3 Charts.” National Public Radio, November 15.https://www.npr.org/2016/11/15/502032052/lots-of-people-voted-for-obamaand-trump-heres-where-in-3-charts.Google Scholar
Uhrmacher, Kevin, Schaul, Kevin and Keating, Dan. 2016. “These Former Obama Strongholds Sealed the Election for Trump.” Washington Post, November 9. https://www.washingtonpost.com/graphics/politics/2016-election/obama-trump-counties/.Google Scholar
Wasserman, David. 2017. “The One County in America that Voted in a Landslide for Both Trump and Obama.” FiveThirtyEight, November 9. https://fivethirtyeight.com/features/the-one-county-in-america-that-voted-in-a-landslide-for-both-trump-and-obama/.Google Scholar
Supplementary material: Link

Sances Dataset

Dataset

https://doi.org/10.7910/DVN/ZECDW0
Link