The latest data from the American Community Survey (2012 to 2016) has placed the suburban and exurban share of the US population (53 major metropolitan areas) at 85.5%. Back in 2000 this number was thought to be around 83.5%.

Since 2010, automobile oriented suburbs and exurbs have also accounted for 90.5% of population growth. The US – and Canada would be no different – is by and large a suburban nation. And the data suggests this isn’t about to change.

The one exception is the New York metro area. From 2012 to 2016, 74% of its growth happened in the urban core. No other major metropolitan area in the US comes close to this sort of urbanity. Below is a chart from New Geography that shows you how NYC compares.

All of the data for this post was also taken from New Geography.

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.

The latest data from the American Community Survey (2012 to 2016) has placed the suburban and exurban share of the US population (53 major metropolitan areas) at 85.5%. Back in 2000 this number was thought to be around 83.5%.

Since 2010, automobile oriented suburbs and exurbs have also accounted for 90.5% of population growth. The US – and Canada would be no different – is by and large a suburban nation. And the data suggests this isn’t about to change.

The one exception is the New York metro area. From 2012 to 2016, 74% of its growth happened in the urban core. No other major metropolitan area in the US comes close to this sort of urbanity. Below is a chart from New Geography that shows you how NYC compares.

All of the data for this post was also taken from New Geography.

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.