So we tried a suggestion @jedkolko gave us, which is to split our data using both central city boundaries and this very cool newish AHS data derived by asking people to describe their own neighborhoods as urban/suburban/rural:

https://www.huduser.gov/portal/AHS-neighborhood-description-study-2017.html
By doing this, we tried 4 categories:
-- Areas within central cities considered “urban” by the people who live there
-- Areas within central cities considered “suburban” by their residents
-- Urbanized areas outside central cities
-- Rural areas
And looking at our polling data, it turns out that people who live in suburban-style central-city neighborhoods are *identical* in their views to people who live in the actual suburbs. It’s uncanny.

Suburban-style city nabes: Biden, Trump 35
Actual suburbs: Biden 51, Trump 35
Same on protests, policing

Suburban-style city nabes: 50% very favorable of BLM
Actual suburbs: 48% very favorable of BLM

Suburban-style city nabes: 40% very favorable of police
Actual suburbs: 42% very favorable of police
Suburban-style city nabes: 33% favorable of Trump’s handling of race relations
Actual suburbs: 31% favorable

Suburban-style city nabes: 26% favorable of Trump’s handling of protests
Actual suburbs: 27% favorable
Because the inclusion of these suburban-style city nabes didn't meaningfully change the views we wanted to capture of "suburban voters," we ultimately didn't combine those groups for the sake of easy comprehension in our piece today. But...
I found it fascinating that on the election, and on issues about the police, race, bias against African-Americans, people in suburban-seeming city neighborhoods think a lot more like "suburbanites" than they do like city-dwellers.
now please proceed with arguing about our methodology...
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