The Geography Trap

If you're a conservative in Madison, your state representative is a Democrat — and that's not changing. If you're a liberal in Wood County, your rep is a Republican — and that's not changing either. No matter how involved you are, your representative doesn't need your vote.

Now imagine combining five of those single-member districts into one larger district that elects five representatives. In an area where voters split roughly sixty-forty, instead of five seats all going to one party, you'd get three representatives for the majority and two for the minority. That conservative in Madison gets a voice. That liberal in Wood County gets a voice. Nearly every voter helps elect someone who actually represents them.

That's what multi-member districts with proportional representation look like. Not a different set of lines drawn to favor someone else — just a system where the math finally works for everyone.

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The geography problem is real — and it hurts both sides. Democrats are concentrated in cities; Republicans dominate rural areas. Under single-member districts, a conservative in Madison (Biden ~75% in 2020) and a liberal in Wood County (Trump ~62% in 2020) are both permanently shut out of representation.

"Unintentional gerrymandering": Stanford political scientist Jonathan Rodden and University of Michigan's Jowei Chen demonstrated in their landmark 2013 paper that even with perfectly drawn maps, Democrats' geographic concentration in cities produces a structural seat disadvantage under single-member districts. They showed that "in many states, Democrats are inefficiently concentrated in large cities and smaller industrial agglomerations such that they can expect to win fewer than 50% of the seats when they win 50% of the votes." (Chen & Rodden, Quarterly Journal of Political Science, 2013)

Rodden on proportional representation as the fix: "There is nothing about population density that automatically generates this kind of cleavage... But single-member-district, majoritarian systems that produce two parties that hate each other — that's the worst of all worlds." He argues proportional representation eliminates the geographic bias entirely. (Stanford GSB)

Multi-member districts solve the geography trap. By combining several single-member districts into one larger district electing 3-5 representatives, the math changes. Even if a district is only 35% "blue," it can still elect representation. The more seats per district, the harder it becomes to gerrymander — most multi-winner districts are functionally impossible to manipulate for partisan gain. (Protect Democracy; FairVote)

Geographic sorting is accelerating. Americans increasingly live near people who share their political views, making more districts lopsided. Even perfectly drawn maps can't produce proportional outcomes under winner-take-all rules when the underlying population is geographically sorted. (Cambridge University Press)

Further reading:

• Jonathan Rodden, Why Cities Lose: The Deep Roots of the Urban-Rural Political Divide (Basic Books, 2019) — the definitive book on geographic sorting and electoral bias
• Chen & Rodden, "Unintentional Gerrymandering" (Quarterly Journal of Political Science, 2013)
• Bill Bishop, The Big Sort: Why the Clustering of Like-Minded America Is Tearing Us Apart (Mariner Books, 2009)
• Brookings, "A Primer on Gerrymandering and Political Polarization"
• Protect Democracy: Proportional Representation, Explained

Related Civic Minute segments: How Multi-Member Districts Work (CM-14), The End of Gerrymandering (CM-16), Competition (CM-8)