Tuesday, September 19, 2017

Are Integrated Neighborhoods Becoming More Common in the United States?

by Jonathan Spader and
Shannon Rieger
The share of the population living in racially and ethnically integrated neighborhoods in the US has increased since 2000, according to our new Joint Center research brief. However, most Americans continue to live in non-integrated neighborhoods, and evidence suggests that some of the recent increases in integration may be the temporary byproduct of gentrification and displacement.

The new brief, "Patterns and Trends of Residential Integration in the United States Since 2000," assesses whether the nation's increasingly diverse population is fostering the growth of integrated neighborhoods or whether the choices people make about where to live are reinforcing existing lines of segregation and exclusion. Specifically, we use data from the 2000 Census and the 2011-15 American Community Survey (the most recent data available at the census tract level) to describe the number, stability, and characteristics of integrated neighborhoods.

Because there is no single measure for identifying integrated neighborhoods, our analyses applies two commonly-used definitions to define integration. The first approach—which we refer to as "no-majority neighborhoods"—defines integrated neighborhoods as those where no racial or ethnic group accounts for 50 percent or more of the population. While this definition identifies neighborhoods with a plurality of races and ethnicities, it may exclude some neighborhoods with relatively high levels of integration relative to the median neighborhood in the United States. For example, under this definition, a census tract that is 49 percent black and 51 percent white would be classified as non-integrated.

The second definition—which we refer to as "shared neighborhoods"—uses a broader definition of integration, identifying neighborhoods as integrated if any community of color accounts for at least 20 percent of the tract population AND if the tract is at least 20 percent white. While this definition might be expanded to include neighborhoods in which any two groups account for at least 20 percent of the tract's population, this definition requires that the neighborhood population be at least 20 percent white because of whites' long history of exclusionary practices as well as attitudinal surveys suggesting that, on average, whites are less willing that other groups to live in integrated neighborhoods.

Both definitions suggest that the number of integrated neighborhoods—and the share of the US population living in integrated neighborhoods—increased between 2000 and 2011-15 (a time when the white, non-Hispanic share of the population fell from 69.1 percent to 62.3 percent). The number of "no-majority neighborhoods" increased from 5,423 census tract in 2000 to 8,378 in 2011-15, and the share of the US population residing in such tracts increased from 8.0 percent in 2000 to 12.6 percent in 2011-15 (Figure 1).

Similarly, the number of "shared neighborhoods" increased from 16,862 tracts in 2000 to 21,104 tracts in 2011-15, and the share of the US population residing in "shared" tracts increased from 23.9 percent in 2000 to 30.3 percent in 2011-15. These figures are higher than the estimates for "no-majority" tracts, reflecting the broader definition of integration used to define "shared neighborhoods." Nonetheless, both definitions show increases in integration between the 2000 Census and the 2011-15 ACS.



Notes: "No-majority neighborhoods" are census tracts in which no racial or ethnic group accounts for 50 percent or more of the population. "Share d neighborhoods" are census tracts in which whites account for 20 percent or more of the population and any community of color accounts for 20 percent or more of the population. 
N=71,806 Census tracts.

While the share of the population living in integrated neighborhoods has increased since 2000, most Americans continue to live in non-integrated areas, with white individuals the least likely to live in integrated areas. While 12.6 percent of the total US population lives in one of the 8,378 "no-majority" tracts, these neighborhoods include just 7.2 percent of the nation's whites, compared to 20.3 percent of blacks, 20.3 percent of Hispanics, 30.9 percent of Asians, and 19.5 percent of individuals of other races and ethnicities (Figure 2).

A similar pattern is present within "shared neighborhoods." While 30.3 percent of the total US population lives in one of the 21,104 "shared neighborhoods," these neighborhoods include just 22.9 percent of the nation's whites, compared to 43.0 percent of blacks, 42.8 percent of Hispanics, 44.8 percent of Asians, and 36.5 percent of individuals of other races and ethnicities.



Note: Estimates show the percent of each group that live in integrated neighborhoods. White, black, Asian, and Other are non-Hispanic.

The research brief provides more specific details about the relative composition of integrated and non-integrated neighborhoods by race, ethnicity, and other demographic characteristics. Additionally, it describes the stability of integrated neighborhoods between 2000 and 2011-15, as well as the geographic distribution of integrated neighborhoods across central cities, suburbs, and non-metropolitan areas.

Taken together, this evidence offers support for the conclusion that the number of integrated neighborhoods has increased in recent years. However, it also highlights that this conclusion is subject to two important caveats. First, some portion of the increase in integration reflects neighborhood change processes associated with the gentrification and displacement pressures affecting the central areas of many cities. While some of these neighborhoods may become stably integrated areas, it is not yet clear how many of the newly integrated neighborhoods will become stably integrated and how many will eventually become non-integrated areas.

Second, integrated neighborhoods remain the exception rather than the rule in the United States. The 2011-15 ACS shows that fewer than one in three Americans lives in a shared neighborhood, with just 12.6 percent living in "no-majority neighborhoods." As the country moves toward a population in which people of color are projected to be a majority by the middle of the century, further growth will be necessary for such changes to produce a more inclusive society.

Wednesday, September 6, 2017

Rebuilding Housing in Harvey’s Aftermath: Two Lessons from Hurricanes Katrina and Rita

by Jonathan Spader
Senior Research Associate
As floodwaters finally subside in Houston, and as Florida residents prepare for Irma, residents, civic leaders, and policymakers can glean two important lessons from the intensive efforts to rebuild homes and communities after Hurricanes Katrina and Rita, two devastating storms that hit the U.S. in back-to-back succession in 2005. 

First, rebuilding residential properties is a lengthy process likely to take several years. Second, the rebuilding process will be especially lengthy for rental properties (as compared to owner-occupied homes), which could greatly affect the 950,000 renters (who account for 41 percent of households) in the greater Houston metropolitan area, as well as additional renters affected by Hurricane Harvey in elsewhere in Texas and in other states. The slower pace of rental rebuilding is due to several factors including both renters’ dependence on property owners to rebuild rental housing units and historical differences in the availability and terms of federal aid for rental property owners as compared to homeowners.

To be sure, the need for emergency assistance and shelter for displaced residents will continue for weeks to come. Nevertheless, Congress is already starting to discuss an aid package. Moreover, the extensive damage (and the need to reauthorize the National Flood Insurance Program before September 30) may spur new efforts to develop policies and programs to support housing recovery in the wake of future natural disasters. As policymakers, civic leaders, and local residents begin to focus on the rebuilding process, they might want to keep the following in mind.

Extensive flooding from Hurricane Harvey in Southeast Texas. Air National Guard photo by Staff Sgt. Daniel J. Martinez

1. Rebuilding residential properties takes time.

An initial lesson from Hurricanes Katrina and Rita is that the rebuilding process takes time, with many properties continuing to show observable damage several years after the storms had passed. In early 2010—almost five years after both hurricanes made landfall—a HUD-commissioned study that I worked on surveyed the exterior conditions of properties damaged by those storms. The survey produced representative estimates of the rebuilding outcomes of properties that experienced “major” or “severe” damage—defined by FEMA as $5,200 or more in storm-related damage—that were located on significantly-affected blocks—defined as a city block on which three or more properties experienced “major” or “severe” damage.

The survey found that 17 percent of hurricane-damaged properties in Louisiana and Mississippi still showed substantial repair needs as of early 2010, almost five years after the storms had hit. Almost half these properties did not meet the U.S. Census Bureau’s definition of a “habitable structure,” a housing unit that is closed to the elements with an intact roof, windows, and doors and does not show any positive evidence (e.g. a sign on the house) stating that the unit was condemned or was going to be demolished. Only 70 percent of hurricane-damaged properties in Louisiana and Mississippi were rebuilt by early 2010, and 13 percent contained cleared lots in which the damaged property had been removed from the parcel (Figure 1).

In the case of Hurricanes Katrina and Rita, the properties that still were damaged included some whose owners had received rebuilding grants through federal programs designed to aid housing recovery. The largest source of assistance following the 2005 hurricanes was the $18.9 billion special Community Development Block Grant (CDBG) appropriations passed by Congress between 2005 and 2008. Some portion of the properties with remaining damage likely also reflect abandonment by owners who moved elsewhere in the wake of the hurricanes. For such properties, funding for demolition, rehabilitation, and land banking may be necessary to transition the properties to a new use, and potentially to support efforts to encourage residents to rebuild in areas with lower flood risks.

Notes: Sample is representative of properties in Louisiana and Mississippi that experienced major or severe hurricane damage and that were located on significantly-affected blocks. Rebuilt structures are residential structures that do not show substantial repair needs as defined in Turnham (2010). Cleared lots contain an empty lot or a foundation with no standing structure. Damaged structures are residential structures that show substantial repair needs—and include all uninhabitable structures. Uninhabitable structures are residential structures that do not meet the Census definition of habitability. 

2. Rental properties were rebuilt more slowly than homeowner properties.

A second lesson from the rebuilding process following Hurricanes Katrina and Rita is that rental properties were rebuilt more slowly than owner-occupied homes. This likely was due to several factors. While homeowners directly control the rebuilding progress of their home, renters are dependent on landlords’ rebuilding decisions. Smaller “mom-and-pop” landlords may also be slower to rebuild investment properties if their own home is also damaged. And policymakers have been wary of providing rebuilding assistance to rental property owners who did not purchase sufficient insurance.

Following Hurricanes Katrina and Rita, both Louisiana and Mississippi used the CDBG special appropriations for disaster recovery to create rebuilding assistance programs for homeowners and small rental property owners. (Texas, which faced less damage from Hurricanes Katrina and Rita, created only a homeowner program.) In both Louisiana and Mississippi, the homeowner programs covered much of the difference between the estimated cost to rebuild and the amount available to the homeowner from insurance and other rebuilding-assistance programs. Conversely, the grant programs for 1-4 unit small rental properties included a more complex set of eligibility requirements that included commitments for the rebuilt units to be rented to qualifying low- and moderate-income tenants. The result was that few rental property owners applied for and received rebuilding assistance, compared to widespread take-up of the homeowner assistance programs. While concerns about the incentive effects associated with bailing out under-insured investors are reasonable, a secondary effect was to reduce the number of rebuilt properties available to renters.

Figure 2 displays the share of hurricane-damaged properties on significantly-affected blocks that received a rebuilding grant through the CDBG-funded homeowner and small rental programs, along with the share of homeowner and small rental properties that were rebuilt by early 2010. The results show that 58 percent of hurricane-damaged homeowner properties in Louisiana and Mississippi received a rebuilding grant, compared to 10 percent of small rental properties. While this rental figure is limited to 1-4 unit small rental properties, a GAO report similarly found that federal assistance through CDBG, the Individual and Households Program, and the Home Disaster Loan Program together reached only 18 percent of all damaged rental units (including units in larger multi-family buildings), compared to 62 percent of damaged homeowner units. The rebuilding outcomes documented in the HUD-commissioned survey also showed sizable gaps, with 74 percent of homeowner properties rebuilt by early 2010 compared to 60 percent of rental properties.


A final question for policymakers is whether to use this opportunity to create a permanent program to support housing recovery following natural disasters. While Congress has relied on the CDBG program for this purpose since the early 1990s, its role is currently defined by the special appropriations legislation drafted following each individual disaster. Making disaster recovery a permanent function of the CDBG program (or creating some other permanent program for housing recovery) would allow HUD to develop permanent regulations and program guidance in anticipation of future disasters. While it is too late for this change to benefit victims of Hurricane Harvey, it might improve preparedness for the next disaster.

Friday, August 25, 2017

Managing Rapid Urbanization: Lessons from Mongolia

by David Luberoff
Senior Associate
Director
The capital city of Mongolia, Ulaanbaatar, provides a useful lens for understanding tensions that arise from rapid urbanization, according to two recent journal articles reporting on research funded in part by the Joint Center's Student Research Support Program.

In the first piece, which appeared in International Planning and Development Review, Raven Anderson (formerly a research fellow in the Social Agency Lab at the Harvard Graduate School of Design) and Michael Hooper (an associate professor of urban planning at the GSD) explain that because of an economic boom, a series of harsh winters, and the decline of the rural economy, Ulaanbaatar grew dramatically over the last two decades. In response, a diverse array of domestic and international organizations converged on the city to help address the environmental, spatial, and social challenges created by the rapid growth.

Anderson and Hooper, interviewed representatives from 18 of these organizations and learned that while there is agreement about the city's main challenges there is a lack of consensus about how to tackle them. The result, they note, was a "proliferation of plans, in which local organizations' perspectives are often given relatively little attention."

In the second article, which appeared in the Journal of Urbanism, Anderson, Hooper, and Allie Aldarsaikhan Tuvshinbat (also a former researcher at the Social Agency Lab) use interviews with about 120 residents to explore some of the differing perspectives. They found that while there were relatively high levels of support for increases in unit-level density and for apartment living, the majority of interviewees also favored low land-use density.

The tension between the two findings, they note, is "a central theme in the results. The limited appeal of high-density land use likely reflects Mongolian cultural attitudes towards land and open space. These attitudes are generally not reflected in the global 'compact city' models that are promoted by international organizations and which appear to be driving the current city masterplan and other formal planning efforts in the city."

The divergence between residents' views and the organizations' desires, note Anderson and Hooper in the first article, "is likely to further reduce the city's ability to effectively cope with rapid urban growth."

Friday, August 18, 2017

Who Owns Rental Properties, and is it Changing?

by Hyojung Lee
Postdoctoral Fellow
Institutional investors own a growing share of the nation's 22.5 million rental properties and a majority of the 47.5 million units contained in those properties, according to the US Census Bureau's recently released 2015 Rental Housing Finance Survey (RHFS). The changes are notable because virtually all of the household growth since the financial crisis has occurred in rental units, with more than half of the growth occurring in single-family rental units.

According to the RHFS, individual investors were the biggest group in the rental housing market in 2015, accounting for 74.4 percent, or 16.7 million rental properties, followed by limited liability partnerships (LLPs), limited partnerships (LPs), or limited liability companies (LLCs) (14.8 percent); trustees for estates (4.1 percent); and nonprofit organizations (1.6 percent) (Table 1). However, because the share of rental properties owned by individual investors tends to decrease with the property size, individual investors owned less than half (47.8 percent) of rental units, followed by LLPs, LPs, or LLCs (33.2 percent), trustees for estates (3.3 percent), real estate corporations (3.3 percent), and nonprofit organizations (3.2 percent).


Source: Rental Housing Finance Survey, 2015.

When combined with data from the 2012 RHFS and the 2001 Residential Finance Survey (RFS), the new data also show that the number and share of rental properties owned by institutional investors increased for all types of properties between 2001 and 2015 (Figure 1). For example, while about a third of properties with 5 to 24 units were owned by non-individual investors in 2001, that share soared to 47 percent in 2012 and about two-thirds in 2015. Similarly, about 66.1 percent of properties with 25 to 49 units were owned by institutional entities in 2001, which rose to 77 percent in 2012 and about 81 percent in 2015.


Source: Residential Finance Survey, 2001; Rental Housing Finance Survey, 2012 and 2015.
Note: The condominiums and mobile homes the 2001 RFS were excluded as they are excluded in the 2012 and 2015 RHFS. Single-family units were not counted in the 2012 RHFS.

While individual investors (often called "mom-and-pop landlords") still owned about three-quarters of all single-family rental properties in 2015, the share of those properties owned by institutional investors rose from 17.3 percent in 2001 to 24.5 percent in 2015. However, during this time, many individual landlords reportedly created their own LLCs and transferred ownership of their property to protect themselves from liabilities and take advantage of tax benefits. As a result, the figures for single-family rentals may understate the number of mom-and-pop landlords.

Finally, the 2015 RHFS also provides useful information about when these changes occurred. Overall, non-individual investors accounted for about 16 percent of rental properties acquired from 1980 to 2004. That changed dramatically in the years after the financial crisis. Non-individual investors bought 28 percent of rental properties sold between 2010 and 2012 and 49.3 percent sold between 2013 and 2015 (Figure 2). Moreover, this shift was particularly pronounced for properties with 1 to 4 units (compared to those with 5 or more units).


Source: Rental Housing Finance Survey, 2015.

Despite potential implications for both renters and the broader housing market, there have been relatively few studies assessing the impacts of changing ownership patterns for rental properties. However, some research suggest that the changes are more than just paperwork. Illustratively, a 2016 discussion paper published by the Federal Reserve Bank of Atlanta reported that large corporate landlords and private equity investors of single-family rental homes in Fulton county, Georgia were far more likely to file eviction notices than small landlords in the county. Hopefully, the changes documented in the 2015 RHFS will spur additional research on how ownership patterns affect such key issues as rental affordability, housing instability, and the upkeep of rental units.

Friday, August 11, 2017

Pay for Success: Opportunities and Challenges in Housing and Economic Development

by David Luberoff
Senior Associate
Director
Pay for Success (PFS) initiatives have received widespread attention in the United States over the past several years. These outcomes-based projects – which generally do not pay service providers and government entities until and unless they achieve certain agreed upon outcomes – hold great promise in a variety of fields, including housing and community development, notes Omar Carrillo Tinajero in a new working paper jointly published by NeighborWorks® America and the Joint Center for Housing Studies. In the paper, Carrillo, a 2016 Edward M. Gramlich Fellow, notes that PFS projects may offer important opportunities to break down funding silos, devise innovative new ways to address pressing problems, and compel providers to focus on the results of an intervention. However, he adds, “because their complexity makes them at present difficult to structure and finance, PFS projects are likely to be useful only in limited circumstances, which means the PFS model should therefore be used judiciously and carefully.” Moreover, he notes, “the interest in and discussion about PFS projects has highlighted approaches that could be carried out by the public sector without the structure of PFS arrangements.”

To better understand how this approach could be used to address housing and community development issues, Carrillo examines three projects: 
  • The Denver Supportive Housing Social Impact Bond Initiative, which focused on providing supportive housing for individuals who are both frequently in jail and often go to emergency medical services in Denver.
  • The Chronic Homelessness PFS Initiative, which aims to provide 500 units of permanent supportive housing for up to 800 of the 1,600 people currently experiencing homelessness in Massachusetts.
  • Project Welcome Home, an initiative in Santa Clara County, California focused on providing housing and supportive services for 150-200 chronically homeless individuals in the Silicon Valley over six years.
In the paper, Carrillo reviews the goals of each initiative and describes the metrics that will be used to decide whether and how much providers will be paid.  He also offers detailed descriptions about how each initiative was organized, funded, and evaluated.

The initiatives, he writes, “are promising, especially as they promote an emphasis on outcomes and begin to streamline services from various government sources.” However, he also cautions that “it is not immediately obvious that their benefits outweigh their costs,” particularly the extensive time and resources needed to develop and oversee the initiatives. He adds that it may be possible for the public-sector to adopt many PFS approaches (particularly their focus on outcomes, and the need for better data systems to measure those outcomes) without developing the complex structures and systems needed to establish and oversee an effective PFS.

“Though PFS sounds promising,” he concludes, “putting a project together can entail logistical difficulties and substantial transaction costs. Because of these challenges, the PFS model should be used judiciously. In particular, it could be a promising strategy for situations in which addressing problems requires coordination of a variety of disparate sources of public funding which, for various reasons, are difficult to use in a coordinated fashion.”

However, he adds, “we should not lose sight of the overall problem that PFS programs address: the need to provide services to as many people as possible, in the most effective way possible. It seems difficult to conceive of increased funding for these much-needed resources from the federal government, and state and local governments will continue to find themselves pressed for solutions to deliver evidence-based services. The PFS movement has pushed public-sector entities to focus more heavily on outcomes and, in doing so, to consider more multi-pronged approaches for addressing key issues.”