Homelessness Is a Housing Problem: How Structural Factors Explain U.S. Patterns

Summary

Homelessness Is a Housing Problem: How Structural Factors Explain U.S. Patterns is a 2022 book by Gregg Colburn, associate professor of real estate at the University of Washington's College of Built Environments, and Clayton Page Aldern, a data scientist and journalist, published by the University of California Press (March 2022). Its question is not why any given individual becomes homeless, but why rates of homelessness vary so widely across U.S. cities — why, per capita, Seattle or San Francisco has several times the homelessness of Chicago or Detroit.

Per the authors' own summary, the book uses "accessible statistics" to "test a range of conventional beliefs about what drives the prevalence of homelessness in a given city—including mental illness, drug use, poverty, weather, generosity of public assistance, and low-income mobility—and find[s] that none explain why, for example, rates are so much higher in Seattle than in Chicago. Instead, housing market conditions, such as the cost and availability of rental housing, offer a more convincing explanation."[1] The empirical base is HUD's community-level point-in-time (PIT) counts — the "one-night count of people experiencing homelessness in the US" — analyzed across communities for 2007–2019, as an academic review in the International Journal of Urban and Regional Research describes.[2]

Core Findings

• Rent levels and vacancy rates predict regional homelessness. "Over the course of the book, the researchers illustrate how absolute rent levels and rental vacancy rates are associated with regional rates of homelessness."[1] Where rents are high and vacancies scarce, per-capita homelessness is high; where housing is cheap and available, it is low.
• Individual vulnerabilities do not explain regional variation. Cities do not differ much in rates of mental illness, addiction, or poverty in ways that track their homelessness rates. Most strikingly, "[c]ontrary to expectations, rates of homelessness tend to be lower where poverty rates are higher"[1] — Detroit and West Virginia are poorer than Seattle and San Francisco but have far less homelessness. The IJURR review highlights the same puzzle: "Why are urban homelessness rates so low in cities where levels of poverty and unemployment are highest?"[2]
• A two-level causal structure. The authors distinguish who becomes homeless (individual risk factors — poverty, illness, addiction, family breakdown — matter greatly here) from how many become homeless in a given market (set by housing costs and availability). The metaphor often used to summarize the argument: individual vulnerabilities decide who loses at musical chairs; the housing market decides how many chairs there are.
• A typology of cities. Cities are grouped "by population growth and the way in which their housing supplies respond to increases in demand,"[1] yielding different policy prescriptions for expensive-and-growing markets versus low-cost, slow-growth ones.

Relation to the Georgist Case

The book is not Georgist and does not discuss land value taxation. Its relevance to this wiki is as the leading book-length statement of the structural, housing-market explanation of homelessness — the anchor for Outcome: Homelessness is a housing-cost problem. It supplies the cross-market half of the case; panel evidence such as the U.S. GAO's 2020 finding that a $100 increase in median rent is associated with about a 9 percent increase in a community's homelessness rate supplies the within-market half (cited on the outcome page). For Georgist purposes, the book establishes that homelessness tracks the price of access to location; it does not itself decompose housing costs into land and structure components — that link runs through work like Knoll, Schularick & Steger showing land prices drive long-run housing costs.

Nuances and Limits

• Cross-sectional association, not a causal experiment. The core evidence is variation across communities in observational PIT-count data; the authors triangulate against alternative explanations rather than exploiting a natural experiment.
• PIT counts are imperfect. HUD's one-night counts undercount and vary in method across communities — the U.S. GAO devoted an entire 2020 report to these data-quality problems (while still finding the rent–homelessness association robust in its own panel model).
• Determinants may differ by climate. Corinth & Lucas (2018) show that "housing prices, poverty rates and religiosity are much more strongly associated with rates of unsheltered homelessness in warm places than in cold places,"[3] cautioning against pooled cross-community regressions of the kind the book relies on.
• Individual-level causes remain real. The book's own framing concedes that mental illness and addiction strongly influence who becomes homeless; critics argue policy focused only on housing supply understates the treatment needs of the unsheltered population.
• City-level data gaps. A sympathetic reviewer notes the authors "were unable to unearth any city-level data" on drug use or mental illness frequency and relied on state-level comparisons for those tests.[4]

Bears On

• Outcome: Homelessness is a housing-cost problem — this book is the primary anchor for the market-level claim.
• Outcome: Rising land costs drive poverty — homelessness is the extreme margin of the housing-cost/poverty relationship the outcome page describes.
• Narrative: The Housing Crisis Is a Land Crisis — the book's structural framing is the mainstream-scholarship counterpart of this narrative's first step.

See Also

• Outcome: Homelessness is a housing-cost problem
• Outcome: Rising land costs drive poverty
• Narrative: The Housing Crisis Is a Land Crisis
• Economic Rent

Sources

1. Gregg Colburn & Clayton Page Aldern, Homelessness Is a Housing Problem book site. homelessnesshousingproblem.com — fetched and read (2026-07-10); used for the authors' own statement of thesis, findings (rent levels, vacancy rates, poverty inversion), the city typology, and author credentials. Publisher page: University of California Press, 2022.
2. IJURR book review of Colburn & Aldern (2023), International Journal of Urban and Regional Research reviews section, Sept 14, 2023. ijurr.org — fetched and read (2026-07-10); used for the data base (PIT counts 2007–2019) and the book's framing puzzles.
3. Kevin Corinth & David S. Lucas (2018), "When warm and cold don't mix: The implications of climate for the determinants of homelessness," Journal of Housing Economics 41, 45–56. DOI: 10.1016/j.jhe.2018.01.001; open author copy fetched and read (2026-07-10) — used for the climate-heterogeneity caveat.
4. Michael Lewyn, "Review: Homelessness is a Housing Problem," Market Urbanism, April 19, 2022. marketurbanism.com — fetched and read (2026-07-10); used for the two-significant-factors summary and the state-level-data caveat on drug use and mental illness.