This past weekend I saw a few people reacting on Twitter to this article by Wendell Cox talking about how Canadian families are being denied their preferred housing choice: the detached single family home.

The fact that the article is by Wendell Cox should tell you everything you need to know. But essentially the argument is that misguided planning policies are driving up the cost of housing and that we should, instead, be encouraging unfettered sprawl.

There’s lots to discuss here, but the first thought that actually came to mind was: “How would this article sound if we replaced all of the references to housing with references to cars?” In case you too are wondering that, this is how the first paragraph would read:

A new poll by Sotheby’s International Realty suggests substantial disappointment among Canada’s young urban families, unable to afford to purchase the types of [cars] that they prefer. The poll determined that young urban households in Canada strongly prefer [Aston Martins], but they are often “motivated by (financial) necessity to purchases [sic] [cars], especially [BMWs], they do not prefer.“

The article is clearly one-sided. I don’t disagree that there are people who – all things being equal – would prefer to raise a family in a ground-related single family home. Backyards serve a purpose, as do large basements equipped with beer fridges.

But all things are not equal. And there also people who value walkability, a reasonable commute, and the kind of urban amenities that come along with being in a dense city. I am one of those people.

Photo by Adrien Olichon on Unsplash

This is an interesting study from a team of AI researchers at Stanford. What they did was use car images taken directly from Google Street View (so images of cars parked on-street) to predict income levels, racial makeup, educational attainment, and voting patterns at the zip code and precinct level.

Admittedly, it’s not a perfect survey, but when they compared their findings to actual or previously collected data (such as from the American Community Survey), it turns out that their study was actually remarkably accurate. Google Street View allowed them to survey 22 million cars, or about 8% of all cars in the US.

Here are some of the things they found:

-  Toyota and Honda vehicles are strongly associated with Asian neighborhoods.

- Buick, Oldsmobile, and Chrysler vehicles are strongly associated with black neighborhoods.

- Pickup trucks, Volkswagens and Aston Martins are strongly associated with white neighborhoods.

Interestingly enough, the ratio of pickup trucks to sedans, alone, is a pretty reliable indicator of voting patterns. If a neighborhood has more pickup trucks than sedans, there’s an 82% chance it voted Republican in the last election.

Perhaps this isn’t all that surprising given that car purchases are highly symbolic. But given that the American Community Survey costs $250 million a year to administer, this study is a good preview of what cheaper and more realtime data collection might look like.