One argument that you might be able to make is that home prices follow urban density. New York City, for example, is dense. And homes in New York City tend to be more expensive than those in, oh I don't know, rural Canada. So with this, you might conclude that development and density are bad -- it makes housing
One argument that you might be able to make is that home prices follow urban density. New York City, for example, is dense. And homes in New York City tend to be more expensive than those in, oh I don't know, rural Canada. So with this, you might conclude that development and density are bad -- it makes housing
Well, it turns out that housing density and median housing values don't actually exhibit a particularly strong correlation. A better and much stronger relationship can be found in what Kasey Klimes explains, here, in this excellent post, which is that home prices more accurately follow incomes. In other words, the more high paying jobs that exist in a market, the more likely that housing will be expensive.
Here is what that looks like for US metros over 1 million people:
The above chart compares median home value to aggregate income per unit of housing. And here, Kasey discovers an r-value of 0.9, which suggests that "over 81% of median home values in large metros can be attributed to aggregate income per unit of housing." This explains why San Jose, and San Francisco, are such outliers. They have very high incomes for every unit of available housing, despite the former being not all that dense.
Okay, so now that we know this, how do we make housing more affordable? One option is to just make people poorer. If you reduce incomes per unit of housing, then home prices will, almost certainly, go down. And this is why poorer cities tend to have more affordable housing. But this is obviously suboptimal. The better option is to keep people wealthy and simply increase the denominator in "aggregate income per unit of housing."
Meaning: build more housing!
Chart: Kasey Klimes
On July 1 of this year, a new California bill, called the "Affordable Housing and High Road Jobs Act of 2022", will go into effect. And the goal of this legislation is to significantly increase the supply of new homes in the state by allowing multi-family construction on lands that are currently zoned for commercial uses.
On some level, it is of course curious that there even needs to be this bill. Because what we are effectively saying is, "hey, we should allow people to build a mix of uses on our main streets and with high enough densities that we might actually be able to support transit." Why was this not always the case? (Rhetorical question.)
In the words of architect and planner Peter Calthorpe, who was recently interviewed here in ArchDaily, this is a "landmark piece of legislation" that has "received very little attention." So that's why we're talking about it today.
Calthorpe was actively involved in crafting this legislation, and his work apparently started with different scenario land-use models. The first experiment looked at a 43-mile stretch of El Camino running from San Francisco to San Jose (pictured below). And what they found was that this one strip alone could accommodate somewhere around 250,000 new infill homes.
We have been speaking about Nabr and the productization of housing for the last year (and, more broadly, about prefabricated housing for probably as long as this blog has existed). And now it is possible to go on to Nabr's website and reserve a new home in their San Jose project. Here's what that looks like:
Well, it turns out that housing density and median housing values don't actually exhibit a particularly strong correlation. A better and much stronger relationship can be found in what Kasey Klimes explains, here, in this excellent post, which is that home prices more accurately follow incomes. In other words, the more high paying jobs that exist in a market, the more likely that housing will be expensive.
Here is what that looks like for US metros over 1 million people:
The above chart compares median home value to aggregate income per unit of housing. And here, Kasey discovers an r-value of 0.9, which suggests that "over 81% of median home values in large metros can be attributed to aggregate income per unit of housing." This explains why San Jose, and San Francisco, are such outliers. They have very high incomes for every unit of available housing, despite the former being not all that dense.
Okay, so now that we know this, how do we make housing more affordable? One option is to just make people poorer. If you reduce incomes per unit of housing, then home prices will, almost certainly, go down. And this is why poorer cities tend to have more affordable housing. But this is obviously suboptimal. The better option is to keep people wealthy and simply increase the denominator in "aggregate income per unit of housing."
Meaning: build more housing!
Chart: Kasey Klimes
On July 1 of this year, a new California bill, called the "Affordable Housing and High Road Jobs Act of 2022", will go into effect. And the goal of this legislation is to significantly increase the supply of new homes in the state by allowing multi-family construction on lands that are currently zoned for commercial uses.
On some level, it is of course curious that there even needs to be this bill. Because what we are effectively saying is, "hey, we should allow people to build a mix of uses on our main streets and with high enough densities that we might actually be able to support transit." Why was this not always the case? (Rhetorical question.)
In the words of architect and planner Peter Calthorpe, who was recently interviewed here in ArchDaily, this is a "landmark piece of legislation" that has "received very little attention." So that's why we're talking about it today.
Calthorpe was actively involved in crafting this legislation, and his work apparently started with different scenario land-use models. The first experiment looked at a 43-mile stretch of El Camino running from San Francisco to San Jose (pictured below). And what they found was that this one strip alone could accommodate somewhere around 250,000 new infill homes.
We have been speaking about Nabr and the productization of housing for the last year (and, more broadly, about prefabricated housing for probably as long as this blog has existed). And now it is possible to go on to Nabr's website and reserve a new home in their San Jose project. Here's what that looks like:
To put this into context, the state of California is currently building about 140,000 new homes each year, through a roughly equal (1:1) split of multi-family and low-rise single-family. Already this represents a shift, as supply used to be slanted (3:1) toward low-rise. (I don't know when exactly this was the case, but Calthorpe mentions the figure in his interview.)
Moving on from El Camino, Calthorpe and his team then ran a similar exercise for the five-county inner Bay area. And here they found that some 700 miles of commercial land could produce up to 1.3 million multi-family homes at "reasonable densities." This was then expanded to the entire state of California and the number increased to 10 million new homes.
Of course, as we have talked about before on this blog, not all of this land might actually be feasible for development. Sometimes the math doesn't work even at a zero land cost; you might need a negative land cost in order to pencil a new development. Meaning, you might need to be paid, perhaps through some sort of subsidy.
So what Calthorpe and the team did was use MapCraft to quickly run development feasibilities on the above sites. They had it run 6 different pro formas using local rents, construction costs, city fees, and so on. And what they determined was that this 10 million number drops down to 2 million when you apply the economic realities of the world.
As a disclaimer, I'm not at all familiar with MapCraft. But I'm going to take this number at face value and say that this is still a lot of new homes. And this is what people are hoping for come July 1 of this year.
Image: HDR / Peter Calthorpe
What is immediately clear is that this is an obvious improvement over the way that new homes are typically purchased. The pricing is transparent. You can easily see the floor plan and features of each home. And if you'd like to reserve one, you can go ahead and do that right away for $1,000:
You can also specify whether or not you're interested in Nabr's lease-to-purchase program (known as LEAP). More information on that can be found, over here.
But the exciting question remains whether thinking about and executing on this new housing as a product, rather than as an individual project, will ultimately bring greater cost efficiencies and savings. In other words: can it make housing more affordable?
Today, the base pricing for SoFA One looks something like this:
Home 1002: $1,415,000, ~1080 sf (excluding exterior space), $1,310 psf
Home 1003: $2,144,000, ~1547 sf (excluding exterior space), $1,386 psf
Home 1108: $938,000, ~795 sf (excluding exterior space), $1,180 psf
These are just the first 3 homes that showed up for me when I opened the website. And while I'm not intimately familiar with the San Jose housing market, Realtor tells me that the median sold price is $1.2 million and that the median list price per square foot is about $766.
Though not really an apples-to-apples comparison, this suggests to me that the above pricing may not be as affordable as some people were hoping for. However, it is more or less where I figured pricing would need to be in order to make a high-rise project like this pencil.
Does this change over time with more product scale? I think it could.
To put this into context, the state of California is currently building about 140,000 new homes each year, through a roughly equal (1:1) split of multi-family and low-rise single-family. Already this represents a shift, as supply used to be slanted (3:1) toward low-rise. (I don't know when exactly this was the case, but Calthorpe mentions the figure in his interview.)
Moving on from El Camino, Calthorpe and his team then ran a similar exercise for the five-county inner Bay area. And here they found that some 700 miles of commercial land could produce up to 1.3 million multi-family homes at "reasonable densities." This was then expanded to the entire state of California and the number increased to 10 million new homes.
Of course, as we have talked about before on this blog, not all of this land might actually be feasible for development. Sometimes the math doesn't work even at a zero land cost; you might need a negative land cost in order to pencil a new development. Meaning, you might need to be paid, perhaps through some sort of subsidy.
So what Calthorpe and the team did was use MapCraft to quickly run development feasibilities on the above sites. They had it run 6 different pro formas using local rents, construction costs, city fees, and so on. And what they determined was that this 10 million number drops down to 2 million when you apply the economic realities of the world.
As a disclaimer, I'm not at all familiar with MapCraft. But I'm going to take this number at face value and say that this is still a lot of new homes. And this is what people are hoping for come July 1 of this year.
Image: HDR / Peter Calthorpe
What is immediately clear is that this is an obvious improvement over the way that new homes are typically purchased. The pricing is transparent. You can easily see the floor plan and features of each home. And if you'd like to reserve one, you can go ahead and do that right away for $1,000:
You can also specify whether or not you're interested in Nabr's lease-to-purchase program (known as LEAP). More information on that can be found, over here.
But the exciting question remains whether thinking about and executing on this new housing as a product, rather than as an individual project, will ultimately bring greater cost efficiencies and savings. In other words: can it make housing more affordable?
Today, the base pricing for SoFA One looks something like this:
Home 1002: $1,415,000, ~1080 sf (excluding exterior space), $1,310 psf
Home 1003: $2,144,000, ~1547 sf (excluding exterior space), $1,386 psf
Home 1108: $938,000, ~795 sf (excluding exterior space), $1,180 psf
These are just the first 3 homes that showed up for me when I opened the website. And while I'm not intimately familiar with the San Jose housing market, Realtor tells me that the median sold price is $1.2 million and that the median list price per square foot is about $766.
Though not really an apples-to-apples comparison, this suggests to me that the above pricing may not be as affordable as some people were hoping for. However, it is more or less where I figured pricing would need to be in order to make a high-rise project like this pencil.
Does this change over time with more product scale? I think it could.
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