Who, and
How Many

The first question is about a person. Why did this man, this woman, end up on the street? Here the honest answer is biography, and it is rarely simple: a job that ended, an eviction, a relationship that broke, a diagnosis, an addiction, a kid who aged out of foster care with no one to call, a partner whose fists made home the more dangerous place. All of it is real. Any of it can be the thing that tips one person over an edge that the rest of us are also standing near.

The second question is about a place. Why does Buncombe County have hundreds of people without homes, while some other county the same size has a few dozen? This is the question the first answer cannot reach, because the biographies are roughly the same everywhere. Addiction lives in every county in America. So does mental illness, and bad luck, and heartbreak. They are present in the places with almost no homelessness too.

So here is the test. If addiction and mental illness were what set the number, the places with the most addiction and the most mental illness would have the most homelessness. They do not. Something else is setting the number, and the biographies are filling in only the question of who.

Imagine the game. Ten players, nine chairs, the music playing. When it stops, someone is left standing. It will probably be the slowest player, or the one on crutches, or the one who got distracted. Watch only that round and you will conclude that the person lost because of the crutches.

But the crutches did not remove the chair. Take a chair away and someone is left standing every single time, no matter how fit and fast and sober every player is. Add a chair back and everyone sits down, the player on crutches included.

The model does two things at once, and that is the whole point. It tells you the number of people left standing is set entirely by the gap between players and chairs. And it tells you that individual disadvantage, the crutches, decides only which players are left out, never how many.

The players are the households that cannot afford much. The chairs are the homes priced low enough for them to reach. When there are more of the first than the second, some are left out when the music stops. Addiction and illness and bad luck determine who. The shortage of chairs determines how many.

In the most thorough study of the question, the researchers Gregg Colburn and Clayton Page Aldern set out to explain why homelessness is so much worse in some American cities than in others. They tested the usual suspects one by one: rates of mental illness, rates of drug use, poverty, the weather, even how generous a city's public assistance is. None of them explained the pattern.

What did explain it was the housing market: how high the rents climbed, and how few empty units were left. The cities with expensive, full rental markets had the crowds on the street. The cities with cheaper, looser markets did not, whatever their rates of addiction or illness.

And then the finding that stops people in their tracks: homelessness tends to be lower where poverty is higher. The poorest places are often the cheapest places, and a poor person in a cheap place usually still has a roof over their head. It is the expensive cities, not the troubled ones, that manufacture homelessness. That is the chairs, not the players.

These are not arrivals from somewhere else. They are, overwhelmingly, our own neighbors who lost housing in our own county. The chairs here are scarce for exactly the reason they are scarce statewide: there are 38 affordable, available homes for every 100 of the lowest-income renter households, and the wages in the work that keeps this town running, the kitchens and the front desks and the care homes, do not reach the line where a modest apartment becomes payable.

Now the honest part, because the argument is stronger when it concedes what is true. Some of the people counted are struggling with addiction or with mental illness. In the 2026 count, about 91 reported a mental health condition and about 62 reported a substance use disorder. Those numbers are self-reported, gathered on a single winter night, and almost certainly fall short of the real figures. They describe people who deserve every bit of care and treatment we can fund.

And they are still not the reason the count is 824 rather than 200. Addiction and illness decide who among the squeezed is least able to hold on. The shortage of homes decides how many get squeezed in the first place. Treat every condition perfectly and, with the same number of chairs, the same number of people are left standing; the faces would simply change.