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Step Up AVL Analysis · June 2026

What Housing First Can and Cannot Do

The argument is loud, but the research is unusually settled. Here is what Housing First reliably delivers, where it falls short, and what has to be funded around it.

Few ideas in homelessness policy are argued about more, or read more carelessly, than Housing First. To one side it is the proven answer. To the other it is a costly failure that lets people stay sick on the street. The honest position is that both camps are describing different parts of the same body of research.

We leaned on a deliberate test of that record: two independent research reviews of the evidence, run so that the second was forbidden from using any source the first had used. They still landed on the same conclusions. When two reviews that share no sources line up, their findings no longer rest on any single study or author. That is the spine of this piece.

The model

What Housing First actually is

Housing First inverts the older approach. For decades the rule worked like a staircase. A person had to prove sobriety and complete treatment before they earned housing. They moved from the street to a shelter, then to transitional housing, and only then to a place of their own. Housing First treats that order as backwards. It offers a permanent home first, with no precondition, and makes the home the platform from which recovery becomes possible rather than the reward for having already recovered.

In practice the model rests on a few pillars: immediate, low-barrier housing with no sobriety or treatment test; the tenant's own choice over where they live and what help they accept; and a strict separation of the housing from the services, so that support is offered, never required, and missing a counseling appointment cannot cost someone their home.

One distinction does most of the work in the argument. Housing First was designed for people with high and complex needs, the chronically homeless minority entangled with serious mental illness or addiction, delivered as permanent supportive housing with intensive services attached. It was never meant to be the answer to every kind of homelessness. Most people who lose housing are pushed out by cost, not illness, and are better served by shorter-term rapid rehousing. Judging the model by a job it was not built for is the most common mistake in the debate.

What works

It keeps people housed, and that is not a small thing

On its core test of housing stability, the evidence is about as strong as social policy research gets. The founding New York trial in the 1990s kept roughly four in five participants stably housed, far above the sobriety-contingent group it was tested against. Canada's At Home / Chez Soi study was a randomized trial across five cities with more than 2,000 participants. It found 62 percent of Housing First tenants stably housed against 31 percent in usual care. A 2020 systematic review in The Lancet Public Health, pooling 72 studies, confirmed the same direction, with the highest-need group up to 1.42 times more likely to be stably housed years later.

These are not modest effects, and they have been reproduced across countries, study designs, and decades. This is the most thoroughly replicated result in the entire field. Whatever else is contested, the claim that Housing First durably ends homelessness for the people it enrolls is not.

Stably housed, At Home / Chez Soi

Share still stably housed under each approach

Housing First
62%
Usual care
31%

At Home / Chez Soi randomized trial (n=2,148), national figure; bars drawn to scale.

~80%
Retention in the founding NYC trial
1.42×
More likely stably housed, highest-need, 6 yr
72
Studies pooled by the Lancet review
What it does not do

A home is not a cure

Here the evidence cuts against the model's loudest boosters. Housing First does not, by itself, make people less addicted or less mentally ill. The founding trial found no difference between groups in alcohol use, drug use, or psychiatric symptoms. A 2019 meta-analysis of randomized trials reached the same conclusion: the effect on mental health was statistically indistinguishable from zero. The researchers' own summary is worth quoting in spirit: use Housing First with confidence to get people housed, but do not count on it to fix addiction or mental illness.

This is a real limit, not a technicality. On this point, critics are right. An apartment removes the chaos that makes treatment nearly impossible, but it is not treatment. The people Housing First serves still need clinical care, and the model is explicit that such care is offered alongside the housing, never as a condition of keeping it. The mistake is to expect the housing to do the clinical work on its own.

The fairest reading is that housing alone is clinically insufficient, not that treatment should come first. No rigorous trial has shown a sobriety-required model beats Housing First on long-term housing and health together.

The money

The savings are real, and they are concentrated

Housing First is often sold as a money-saver, and the claim is true in a narrower way than the slogan suggests. The savings are real but concentrated in the highest-cost people, and only when the housing is paired with intensive services. For the most expensive clients, the kind who cycle through emergency rooms, psychiatric beds, and jail, the avoided public costs can more than cover the housing. For the broader, lower-need population, the program is closer to break-even, and can even add cost.

The Canadian trials make the pattern concrete, and they are more sober than the slogan. Even for high-need clients paired with assertive, team-based services, the avoided public costs offset only about 46 percent of what the program spent per person. The savings are real, but for most tenants Housing First is better understood as cost-effective than as cost-saving. It buys housing and stability at a defensible price per day housed, not a check that repays itself.

Some of the headline savings for the most expensive clients also reflect a basic math issue. People enter the program at a peak moment of crisis, and their costs would have fallen somewhat over time even without help. A British meta-analysis found Housing First tenants were hospitalized markedly less often, a result that held up across trials, and that is where much of the avoided cost actually comes from. The lesson is that the support services, not the apartment alone, are the active ingredient, and underfunding them is what flips the math.

46%
Program cost offset by avoided costs, high-need with services
~$56
Cost per extra day of stable housing (ICER)
0.76
Hospitalization rate ratio vs usual care
The failure mode

When it breaks, it usually breaks the same way

Many documented Housing First failures are not failures of the model. They are failures of funding and fidelity. The expensive half of the model is the services, and that is the half that gets cut first. When a program keeps the cheap structural pieces, no preconditions, fast move-in, but starves the support layer, it quietly becomes something else: housing only. People are placed and then left without the help the model assumes, and the results suffer accordingly.

The large U.S. veterans' rollout showed exactly this shape, hitting high marks on the quick structural measures while lagging on the services and recovery side. European researchers call it model drift: weak imitations carry the Housing First label, fail, and discredit the approach. The practical warning for any community is blunt: never fund housing only for high-need residents. If the services are not funded, it is not the model that failed.

The bigger number

Why the total keeps rising anyway

This is the hardest fact for the model's defenders, and the one critics deploy most often. Even as Housing First works for the individuals it houses, national homelessness climbed for years. On a single night in January 2024, a record 771,480 people were homeless in the United States. That was up 18 percent in a year, with chronic homelessness at an all-time high. The January 2025 count brought the first national decline since 2016, down to 745,652, but the drop came almost entirely from families. The part this debate is about did not ease: unsheltered homelessness is up 36 percent since 2013 and chronic homelessness up 81 percent, both near record. If the model works, the argument goes, why are those numbers still so high?

Because the model and the count answer different questions. Housing First works on the outflow, the people it moves into homes. It does little about the inflow, the people still falling in, and the inflow is governed by the housing market, not by any clinical program. When rents outrun wages, more people enter homelessness than any rehousing system can move through it. An individual-level remedy cannot solve a population-level problem set by supply. The sharpest version of the critique goes further than the market. The economist Kevin Corinth found that adding permanent supportive housing barely moves the national count at all, on the order of ten new beds for every one person removed from the streets. Some of the people it houses would have found their own way out in time. Read carelessly, that sounds like an indictment. Read honestly, it is the same point from the other direction: a program built to house a specific high-need group was never the thing that decides how many people fall into homelessness in the first place. That is not a knock on Housing First. It is a reminder of the job it was never assigned.

745,652
Counted homeless in the U.S., Jan. 2025
+36%
Unsheltered since 2013, near record
+81%
Chronic homelessness since 2013, near record
The proof of scale

Finland shows the whole problem is solvable

One country has bent the national number, and how it did so settles the debate. Finland cut homelessness from nearly 8,000 in 2008 to around 3,700 by 2022, while homelessness rose across the rest of Europe. It is the closest thing to proof that the aggregate count can fall.

But the lesson is not that the clinical model is magic. Finland converted shelters into permanent apartments, invested in prevention, and, above all, built and supplied affordable housing at scale through a national strategy. That strategy carried the Housing First name, and the model was genuinely at its center. But the engine underneath it was housing supply. Without the apartments to convert and let, the model would have had nowhere to place anyone. What that means for a place like Asheville is that ending homelessness at the level of a whole community is possible. But it runs through the cost and availability of housing, the one thing the clinical model alone cannot change.

01

Housing stability

The model's designed aim, and its strongest, most replicated result. It durably ends homelessness for the people it houses.

02

Clinical recovery

No reliable effect on addiction or psychiatric symptoms. Housing is the platform for treatment, not a substitute for it.

03

Cost

Net savings for the highest-need minority paired with real services; closer to break-even, or worse, for everyone else.

04

The total count

Cannot be lowered by the model alone. The inflow is set by housing supply, which only building and affordability can change.

Why it matters now

A settled answer, suddenly contested

For two decades this was a roughly bipartisan answer. It is not treated that way now. In 2025 the federal government began steering its homelessness money away from Housing First and toward treatment-conditioned models, on the argument that the approach failed. Everything above is what that argument runs into: the model being defunded is the better-proven one, and no rigorous trial shows the replacement does better on housing and health together.

That does not make the critics wrong about everything. Housing without the funded services is insufficient, and the street disorder driving the politics is real. They are also right that a rigid federal preference for one model crowded out useful alternatives. For a decade the money rewarded Housing First above transitional beds, interim shelter, and recovery housing, and communities lost room to build the mix their own streets needed. Loosening that is fair. But loosening it is not the same as making a home conditional on treatment, and that is the line the evidence draws. The honest fix is to fund the services next to the housing, which is what the evidence rewards, not to make the housing conditional on treatment. We trace the policy turn itself, and what it puts at stake in Asheville, in Strings Attached.

The takeaway

Housing First is a validated, funding-dependent way to end homelessness for high-need people, and it is not a treatment for what made them sick, not a guaranteed saving for everyone, and not a tool for lowering a city's total count on its own. Read that way, the real question stops being whether Housing First works and becomes what must be built and funded around it: an honest treatment track for the minority housing alone cannot reach, and enough affordable housing to slow the inflow no rehousing program can outrun. The evidence is clear about the model. The rest is a choice about what we are willing to pay for.

For more information see: www.stepupavl.org

Sources, national and international. Founding model and retention: Tsemberis, Gulcur & Nakae (2004) New York randomized trial. Housing stability: At Home / Chez Soi randomized trial (Mental Health Commission of Canada, n=2,148); Aubry et al. (2020), The Lancet Public Health systematic review of 72 studies. Clinical outcomes: National Academies of Sciences, Engineering, and Medicine (2018), Permanent Supportive Housing (reliable housing gains without consistent health gains); Baxter et al. (2019) meta-analysis of randomized trials (Journal of Epidemiology and Community Health). Cost-effectiveness: Latimer et al. (2019), At Home / Chez Soi economic analysis (service savings offset about 46 percent of program cost; ICER about $56 per additional day of stable housing). Failure mode and fidelity: Montgomery / Kertesz (2017) on the HUD-VASH rollout; Pleace et al. (2019), Housing First in Europe. Aggregate count: HUD 2024 and 2025 Annual Homeless Assessment Reports (point-in-time counts); the 2025 count of 745,652 was the first national decline since 2016, driven mostly by families, with unsheltered up 36 percent and chronic up 81 percent since 2013; O'Flaherty economic analysis. Aggregate effect of PSH on the count: Corinth (2017), The impact of permanent supportive housing on homeless populations, Journal of Housing Economics (roughly ten added beds per one-person reduction, effect muted after the first year). Federal policy turn (2025-26): see the companion piece Strings Attached and its sources. Finland: Pleace, Finnish homelessness strategy (European Journal of Homelessness); ARA official statistics. All figures are national or international and are labeled as such. This piece synthesizes two source-independent research reviews.

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