Renting in America’s Largest Cities

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Following up on an earlier graphic they produced, the NYU Furman Center and Capital One have issued a report, Renting in America’s Largest Cities. The Executive Summary reads,

This study includes the central cities of the 11 largest metropolitan areas in the U.S. (by population) from 2006 to 2013: Atlanta, Boston, Chicago, Dallas, Houston, Los Angeles, Miami, New York City, Philadelphia, San Francisco, and Washington, DC.

The number and share of renters rose in all 11 cities.

The rental housing stock grew in all 11 cities from 2006 to 2013, while owner-occupied stock shrank in all but two cities.

In all 11 cities except Atlanta, the growth in supply of rental housing was not enough to keep up with rising renter population. Mismatches in supply and demand led to decreasing rental vacancy rates in all but two of the 11 cities in the study’s sample.

The median rent grew faster than inflation in almost all of the 11 cities in this study. In five cities, the median rent also grew substantially faster than the median renter income. In three cities, rents and incomes grew at about the same pace. In the remaining three cities, incomes grew substantially faster than rents.

In 2013, more than three out of every five low-income renters were severely rent burdened in all 11 cities. In most of the 11 cities, over a quarter of moderate-income renters were severely rent burdened in 2013 as well.

From 2006 to 2013, the percentage of low-income renters facing severe rent burdens increased in all 11 cities in this study’s sample, while the percentage of moderate-income renters facing severe rent burdens increased in six of those cities.

Even in the cities that had higher vacancy rates, low-income renters could afford only a tiny fraction of units available for rent within the last five years.

The typical renter could afford less than a third of recently available rental units in many of the central cities of the 11 largest U.S. metro areas.

Many lower- and middle-income renters living in this study’s sample of 11 cities could be stuck in their current units; in 2013, units occupied by long-term tenants were typically more affordable than units that had been on the rental market in the previous five years.

In six of the cities in this study, the median rent for recently available units in 2013 was over 20 percent higher than the median rent for other units in that year, indicating that many renters would likely face significant rent hikes if they had to move. (4)

While this report does an excellent job on its own terms, it does not address the issue of location affordability, which takes into account transportation costs when determining the affordability of a particular city. It would be very helpful if the authors supplemented this report with an evaluation of transportation costs in these 11 cities. This would give a more complete picture of how financially burdened residents of these cities are.

Housing in Smart Cities

I attended an interesting research seminar led by Anthony Townsend yesterday at NYU’s Center for Urban Science and Progress (conveniently located in downtown Brooklyn). Professor Townsend is affiliated to NYU’s Rudin Center for Transportation Policy & Management. He discussed his recent book, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. Townsend argued that the 21st century will be defined by two global trends – urbanization of the world’s population, and ubiquitous computing. He traced the origins of the “smart cities” movement, its goals and the problems it faces.

As noted on Amazon, the book argues that

cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity. In Chicago, GPS sensors on snow plows feed a real-time “plow tracker” map that everyone can access. In Zaragoza, Spain, a “citizen card” can get you on the free city-wide Wi-Fi network, unlock a bike share, check a book out of the library, and pay for your bus ride home. In New York, a guerrilla group of citizen-scientists installed sensors in local sewers to alert you when stormwater runoff overwhelms the system, dumping waste into local waterways.

While Townsend’s talk did not apply his thesis to urban housing and his book only touches on it, it is certainly worth thinking through how Big Data can help provide more housing and better housing in big cities.

Housing is as “unvirtual,” or perhaps as “real,” a good as a good can be. But businesses such as Airbnb show how the virtual and the real can combine into something quite new. Obviously Airbnb does not solve many housing problems for residents of cities, but it does demonstrate that there is a brave new world ahead. Housing policymakers should try to discern what it is going to look like and how it can be harnessed as a force of civic good.

Reiss on Housing Unaffordability

TheStreet.com quoted me in Homeownership Unaffordable For Most Americans in Major Cities. It reads in part,

Homeownership remains unaffordable for most Americans who are living in major cities.

A median-income household can only afford a median-priced home in 10 of the 25 largest U.S. metropolitan areas, which is actually an improvement from 2013, according to a report by Interest.com, the Chicago-based consumer financial information website.

The most affordable metro areas area Atlanta, Minneapolis and St. Louis while San Francisco is the least affordable since the median income in the city is 46% less than what is required to buy a median-priced home in the area. Median-income households in San Diego, New York and Los Angeles don’t fare much better.

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Many potential homeowners should evaluate what kind of mortgage they really need, said David Reiss, a law professor at Brooklyn Law School. Since most homeowners only stay in their house for an average of seven years, getting a traditional 30-year mortgage may not be the solution and an adjustable rate mortgage which resets after a period of years could be more affordable.

“This advice holds particularly true for families that are thinking about having more kids, since they may move sooner than they think if they come to realize that they want more space,” he said.

The Divided City — New York Edition

Richard Florida and colleagues at the Martin Prosperity Institute have posted a report, The Divided City:  And the Shape of the New Metropolis. The executive summary explains that

To better understand the relationship between class and geography, this report charts the residential locations of the three major workforce classes: the knowledge-based creative class which makes up roughly a third of the U.S. workforce; the fast-growing service class of lower-skill, lower-wage occupations in food preparation, retail sales, personal services, and clerical and administrative work that makes up slightly more than 45 percent of the workforce; and the once-dominant but now dwindling blue-collar working class of factory, construction, and transportation workers who make up roughly 20 percent of the workforce.

 The study tracks their residential locations by Census tract, areas that are smaller than many neighborhoods, based on data from the 2010 American Community Survey. The study covers 12 of America’s largest metro areas and their center cities: New York, Los Angeles, Chicago, Washington, DC, Atlanta, Miami, Dallas, Houston, Philadelphia, Boston, San Francisco, and Detroit. It examines these patterns of class division in light of the classic models of urban form developed in the first half of the 20th century. These models suggest an outward-oriented model of urban growth and development with industry and commerce at the center of the city surrounded by lower-income working class housing, with more affluent groups located in less dense areas further out at the periphery. It also considers these patterns in light of more recent theories of a back-to-the-city movement and of a so-called “Great Inversion,” in which an increasingly advantaged core is surrounded by less advantaged suburbs.

 The study finds a clear and striking pattern of class division across each and every city and metro area with the affluent creative class occupying the most economically functional and desirable locations. Although the pattern is expressed differently, each city and metro area in our analysis has evident clusters of the creative class in and around the urban core. While this pattern is most pronounced in post-industrial metros like San Francisco, Boston, Washington, DC, and New York, a similar but less developed pattern can be discerned in every metro area we covered, including older industrial metros like Detroit, sprawling Sunbelt metros like Atlanta, Houston, and Dallas, and service-driven economies like Miami. In some metros, these class-based clusters embrace large spans of territory. In others, the pattern is more fractured, fragmented, or tessellated.

 The locations of the other two classes are structured and shaped by the locational prerogatives of the creative class. The service class either surrounds the creative class, being concentrated in areas of urban disadvantage, or pushed far off into the suburban fringe. There are strikingly few working class concentrations left in America’s major cities and metros. (iv)

As a New Yorker, I was particularly struck by the map of New York City on page 12. It is striking to see how few blue-collar communities are left in the City and how starkly divided the rest of the City is between the “creative” and “service” classes. This is not particularly surprising, but striking nonetheless.

Mortgage Sustainability Tool Launched

Freddie Mac has created a useful new tool, the Multi-Indicator Market Index(SM) (MiMi(SM)).The press release states that it is

a new publicly-accessible tool that monitors and measures the stability of the nation’s housing market, as well as the housing markets of all 50 states, the District of Columbia, and the top 50 metro markets.

MiMi combines proprietary Freddie Mac data with current local market data to calculate a range of equilibrium for each single-family housing market covered. Monthly, MiMi uses this data to show, at a glance, where each market stands relative to its own stable range. MiMi also indicates how each market is trending — whether it is moving closer to, or further away from, its stable range. A market can fall outside its stable range by being too weak to generate enough demand for a well-balanced housing market or by overheating to an unsustainable level of activity.

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In today’s first release of MiMi, several key findings emerged that highlight the current state of the nation’s housing market as of January 2014:

  • The national MiMi value stands at -3.08 points indicating a weak housing market overall. From December to January the national MiMi improved by 0.03 points and by 0.81 points from one year ago. The nation’s housing market is improving based on its 3-month trend of +0.17 points and moving closer to its stable and in range status. The nation’s all-time MiMi low of -4.49 was in November 2010 when the housing market was at its weakest.
  • Eleven of the 50 states plus the District of Columbia are stable and in range with North Dakota, the District of Columbia, Wyoming, Alaska, and Louisiana ranking in the top five.
  • Four of the 50 metros are stable and in range, San Antonio, Houston, Austin and New Orleans.
  • The five most improving states from December to January were Florida (+0.11), Tennessee (+0.11), Michigan (+0.09), Louisiana (+0.07), Nevada (+0.07), and Texas (+0.07). From one year ago the most improving states were Florida (+2.12), Nevada (+1.84), California (+1.26), Texas (+1.06) and D.C. (+1.05).
  • The five most improving metros were Miami (+0.11), Detroit (+0.10), Orlando (+0.09), San Antonio (+0.09), and Chicago (+0.08). From one year ago the most improving metros were Miami (+2.54), Orlando (+2.08), Riverside (+1.87), Las Vegas (+1.81), and Tampa (+1.77).
  • Overall, in January of 2014, 25 of the 50 states plus the District of Columbia are improving based on their 3-month trend and 35 of the 50 metros are improving.