Reading Voucher Demand: What HUD's Picture of Subsidized Households Tells Investors
How to read HUD's Picture of Subsidized Households: county HCV counts, utilization gaps, and real December 2025 voucher data for eight investor markets.
Every Section 8 pitch deck says "guaranteed demand." Almost none of them quantify it. HUD actually publishes the number: the Picture of Subsidized Households (PSH) dataset reports, for every county and housing authority, how many Housing Choice Vouchers exist and how many are actually in use. It's free, it updates on a lag, and it answers the two questions that matter before you buy in a market: how deep is the tenant pool, and can voucher holders actually lease up there?
The two numbers that matter
For each geography, PSH reports (among much else):
- Units available — the voucher count the PHA administers.
- % occupied / units occupied — how many of those vouchers are currently attached to a leased unit.
From those two you derive the stat we watch: the utilization gap — vouchers issued but not leased. A large gap usually means voucher holders are searching and failing: not enough units passing inspection at rents the program supports. For a landlord with an inspection-ready unit, that gap is your customer queue.
Real county numbers, December 2025
Here are actual HCV counts from HUD's PSH data (December 2025 extract) for the counties behind the markets we cover:
| County (market) | HCV units | Occupied | Utilization |
|---|---|---|---|
| Wayne Co., MI (Detroit) | 21,863 | 18,008 | 82% |
| Cuyahoga Co., OH (Cleveland) | 16,813 | 15,999 | 95% |
| Baltimore city, MD | 16,573 | 15,614 | 94% |
| Allegheny Co., PA (Pittsburgh) | 14,699 | 11,052 | 75% |
| Milwaukee Co., WI | 10,290 | 9,107 | 88% |
| Jefferson Co., AL (Birmingham) | 9,478 | 8,479 | 89% |
| St. Louis County, MO | 9,351 | 7,529 | 81% |
| Shelby Co., TN (Memphis) | 9,287 | 8,524 | 92% |
| St. Louis city, MO | 5,198 | 4,104 | 79% |
| Lucas Co., OH (Toledo) | 4,629 | 3,775 | 82% |
Three readings jump out:
- Cleveland runs hot. Cuyahoga's 95% utilization says the program is nearly fully leased — deep demand, but also a market where PHAs may lean on payment standards rather than urgency to place families.
- Pittsburgh has the biggest gap. Allegheny County shows ~3,600 unleased vouchers (75% utilization). That's thousands of households holding a rent subsidy and unable to deploy it — a strong signal for landlords bringing passing units to market, and the kind of condition that pushes PHAs toward higher payment standards.
- Scale varies 5x. Wayne County's 21,863 vouchers versus Lucas County's 4,629 — both fine markets, but your re-tenanting speed and your exit buyer's confidence scale with the pool.
How to use each number
Voucher depth (units available) is your demand floor. Compare it loosely to the county's rental stock: tens of thousands of vouchers in a mid-size county means the program is a structural part of the rental market, not a niche. It also derisks your exit — the next investor can underwrite the same tenant pipeline.
Utilization is your friction gauge, but read it both ways:
- Low utilization (say under 85%): easy lease-ups for you, possible PHA administrative slowness, and often rising payment standards ahead — PHAs are pushed to fix low utilization.
- Very high utilization (95%+): the program is working smoothly, but new vouchers turn over slowly; your tenant pool is more about turnover than unleased backlog.
Neither is "bad" — they're different market textures. What you're screening out is the tiny program: a county with a few hundred vouchers can't anchor a voucher-first strategy at all.
Beyond the counts
PSH carries more than counts, and two fields are worth a look when you dig in: average household income and rent burden of voucher households (context for the tenant portion's stability), and months on waiting list where reported (a proxy for how oversubscribed the program is — multi-year waits are the norm in most of our markets, which is exactly why tenants who get a voucher fight to keep it and to keep your unit).
A caution on precision: PSH is administrative data, reported on a lag, with suppression in small cells. Treat it like FMR data — directionally solid, decisive at the scale of counties, not something to read to the last digit. County lines also don't match PHA jurisdictions exactly (city and county authorities overlap), so treat county figures as the sum over programs operating there.
Pulling it yourself
The dataset lives on HUD's PSH page (huduser.gov), downloadable by year, program, and geography — filter to "Housing Choice Vouchers" and the county level, and the units-available and %-occupied columns give you the table above for any county in the country in about five minutes. Pull two or three years while you're there: a county whose voucher count is growing is a program being funded, and a utilization line moving up or down tells you which way the leasing friction is trending.
Where it fits in an underwrite
Voucher demand data doesn't change the math on a single deal — the FMR, the payment standard, and the comps do that. What PSH changes is your confidence in the machine around the deal: that a vacancy re-leases to the program in weeks, that the PHA has throughput, that the strategy survives your exit. We fold the county voucher counts into our market context for exactly that reason.
Check the deal first, then the machine: paste an address, get the full spread report free.
This article is for general information only and is not investment, legal, or tax advice. Voucher counts are from HUD's Picture of Subsidized Households (December 2025 extract) and reflect reporting lags and suppression; utilization percentages are computed from reported units available and occupied. Program conditions change — verify with the local housing authority.