The question for Trump this fall will be whether he can offset that weakness by matching or building on his dominant advantage in exurban, small-town, and rural communities. In Wisconsin this week, the GOP lost ground with those voters too, but by and large, polling still shows Trump holding a strong position among them. And because most rural communities are facing fewer cases of the disease so far, they may be much more receptive than big-city leaders and voters to Trump’s calls to reopen the economy as quickly as possible.
These political, public-health, and economic trends all point toward the same possibility: Just as the disease is unfolding very differently in larger and smaller places, the gap between voter preferences there in the presidential race could reach astronomical, and possibly unprecedented, heights.
Epidemiologists and other medical experts disagree on whether the disease will ultimately besiege smaller places to a greater extent than it has so far. But there’s no question that it’s exacted its heaviest costs on major cities and their inner suburbs, including New York City, Detroit, Chicago, Boston, New Orleans, Los Angeles, and Seattle. “Densely populated urban areas are uniquely vulnerable to rapid spread of the virus,” said Larry Levitt, the executive vice president for health policy at the nonpartisan Kaiser Family Foundation.
The research conducted at The Atlantic’s request by Kolko, the chief economist at the employment website Indeed, quantifies that dynamic. Using a comprehensive county database maintained by The New York Times, Kolko calculated the number of coronavirus cases per million people within four different regional categories: those in large metropolitan areas of at least 1 million people; those in metros of 250,000 to 1 million; those in small metros with less than 250,000; and those in counties outside of metro areas. The consistent result was that, in most states, heavily populated areas are suffering many more cases per person.
Perhaps the most extreme example: The counties in New York State that fall under the largest metro category—New York City and its environs—have 12,454 cases per million residents. That’s compared with 3,304 in New York’s midsize metros, 1,556 in the smaller metros, and 915 in the nonmetro counties. In Michigan, where the Detroit area has been ravaged by the disease, the caseload drops from 4,787 per million residents in the largest counties to 1,000 per million in the midsize metros, 874 in the smaller metros, and just 346 in the nonmetro counties.
Read: The two states where Trump’s COVID-19 response could backfire in 2020
Similar patterns apply across a wide range of states. In Illinois, where the coronavirus has battered Chicago and its closest suburbs, the largest metro counties are experiencing seven times as many cases per person as the midsize metros, and more than eight times as many as the nonmetro counties. In California, where both the San Francisco and Los Angeles areas have been hit hard, the largest metropolitan counties have more than three times as many cases per capita as the small metro and nonmetro communities. A similar pattern is also evident in Ohio, Wisconsin, and Pennsylvania across the Rust Belt and North Carolina, Florida, and Texas across the Sun Belt, Kolko’s data show.