According to this RedFin data from 2019 -- which looked at normalized sale prices and Walk Scores above 50 -- it is about 23.5% or $77,668 for 16 major US metro areas. Again, this is 2019 data and so things may have changed a bit, especially with the whole COVID thing.
It also varies by metro area in this data set. The premium in Boston, for example, is almost 30%. Whereas the premium in Oakland is actually a slight discount (-1.3%). There are going to be local conditions that play a role.
But as a whole there is an economic trend here that makes intuitive sense to me. Though it's not just a question of how pricey your home is. You also need to consider your transportation costs, the value of your time, and the health benefits of living in an environment that promotes consistent and moderate activity.
When you factor all of these things, maybe "premium" isn't the right way to look at this.
At the beginning of this year I wrote a post about a mobile tracking app called Moves that I had heard about through my friend Sachin Monga. He had just published a beautiful set maps showing where he physically spent his time in both Toronto and San Francisco.
His post spurred me to download the app and at the end of my post I promised to share my own set of maps once I had collected enough data points. It’s only been about 3 weeks, but already my maps are starting to fill out, so I thought I would do a release.
The orange lines represent transport of some sort (car, subway, streetcar, and so on) and the green lines represent walking. I don’t cycle very often in the winter (I know, I’m a fair-weather cyclist), so you won’t see any of those lines just yet. However if I posted a map from the summer, I know it would look completely different.
Here’s a first one showing a regional scale:
Here’s a second one showing the city of Toronto:
And here’s a third one showing mostly downtown:
What’s interesting about these maps is how much you can tell about me and the way I move around the city.
For one, there’s a good chance I ski or snowboard given that I’m driving up to Collingwood, Ontario in the winter. You can also see how heavily dependent I am on the Yonge subway line, which is the thickest orange line in the middle of downtown. It’s also interesting to see how localized I am within my neighborhood (St. Lawrence Market). I walk to get groceries. I walk to the gym. I walk to coffee. And the list goes on.
This is fairly typical for people living in urban neighborhoods, but it would be interesting to see where it applies in the city and where it begins to fall apart. I would also imagine that there’s a correlation to the area’s Walk Score, although this (Moves) might actually be a better measure since it’s usage data.