In Aspen, Colorado, the median home costs about 35 years of household income. In Bruceton Mills, West Virginia, it costs 0.96. That's the spread that shapes everything else about where Americans can plausibly live, and it sits inside a single measure: years-to-own, the median home value divided by the median household income.
The U.S. average sits a little above four. Below three, you're in a place where the median household could in principle pay off the median home in a Bachelor's-degree's worth of working years. Below two, you're somewhere with deep structural housing slack: the homes that exist outnumber the households who can afford to leave, the population is often declining, and incomes haven't fallen as fast as values have.
Distribution of years-to-own ratios across all U.S. Census places with population 1,000–50,000. Bars to the left of the red dashed line are the 25 most affordable. The U.S. median sits around 4.
Source: U.S. Census American Community Survey 5-Year (B25077, B19013), 2019–2023. See methodology.
The list
Across all U.S. Census places with population between 1,000 and 50,000, twenty-five of them post years-to-own ratios under 1.7. They cluster in five regions: the West Virginia and Pennsylvania Appalachian coal belt, the lower Mississippi River valley (Illinois, Missouri, Arkansas, Mississippi), the Oklahoma–north Texas oil-decline corridor, and a handful of small Ohio Rust Belt remnants. There is one notable absence: no Great Lakes cities, no New England, no Mountain West.
U.S. Census places, population 1,000–50,000, ranked ascending by years-to-own (median home value ÷ median household income).
| Rank | Place | State | Population | Years-to-own |
|---|---|---|---|---|
| #1 | Aaronsburg | PA | 2,775 | 0.77 |
| #2 | Girardville | PA | 1,546 | 0.79 |
| #3 | Sentinel | OK | 1,115 | 0.82 |
| #4 | Mullens | WV | 2,361 | 0.87 |
| #5 | Bruceton Mills | WV | 8,390 | 0.96 |
| #6 | Sylvester | WV | 2,143 | 1.01 |
| #7 | Brenton | WV | 2,694 | 1.01 |
| #8 | Washington Park | IL | 10,363 | 1.05 |
| #9 | Ashland | KS | 1,048 | 1.06 |
| #10 | Buffalo | OK | 1,587 | 1.06 |
| #11 | Atlas | PA | 7,174 | 1.09 |
| #12 | Newman | IL | 1,196 | 1.10 |
| #13 | White Hall | IL | 2,488 | 1.12 |
| #14 | Fairfax | OK | 1,501 | 1.12 |
| #15 | Bushnell | IL | 3,045 | 1.13 |
| #16 | Searles Valley | CA | 1,822 | 1.13 |
| #17 | Benham | KY | 1,263 | 1.13 |
| #18 | Witt | IL | 1,018 | 1.13 |
| #19 | Davy | WV | 1,929 | 1.14 |
| #20 | Kirkwood | IL | 1,053 | 1.15 |
| #21 | Meredosia | IL | 1,264 | 1.16 |
| #22 | Rotan | TX | 1,662 | 1.17 |
| #23 | Mahanoy City | PA | 4,124 | 1.18 |
| #24 | Astoria | IL | 1,612 | 1.19 |
| #25 | Cairo | IL | 1,785 | 1.19 |
What "affordable" actually means here
The numbers at the top of this list are sometimes startling — sub-1.0 ratios mean the median home costs less than a single year of median household income. But that floor is almost always demand-driven, not supply-driven. Bruceton Mills isn't building cheap new houses; existing houses have lost value faster than incomes have. Helena-West Helena, Arkansas, has lost roughly a fifth of its population since 2010. Pine Bluff has lost about a quarter.
That doesn't make the affordability fake — for a buyer with stable income that doesn't depend on local labor markets (remote workers, retirees, multi-state families), it's real. It does mean that the years-to-own number alone won't tell you whether the place is going to feel healthy. Combining years-to-own with population trajectory or net migration from the IRS data fills in that picture; we'll publish that companion piece in a future installment.
Why the Midwest and Appalachia dominate
Three structural patterns produce the regions on this list. First, sustained population decline pulls home values down faster than it pulls incomes — incomes are anchored by what's left of the local economy and by federal transfer payments, neither of which fall in proportion to outmigration. Second, the housing stock in long-settled small towns isn't easily reduced: when households leave, the houses stay, increasing the supply-to-demand ratio. Third, school district and county-property-tax reputations create self-reinforcing devaluation cycles that the housing-affordability literature has been documenting for thirty years.
This is the same set of mechanisms that make these places cheap to enter but hard to sell out of. A buyer entering the bottom of the affordability list at 1.5x household income may also find, twenty years later, that the next buyer's pool has shrunk further.
What this list isn't
This is a places-of-residence affordability list, not a quality-of-life ranking, not a growth-potential ranking, and not an investment-return forecast. The list is just one cut of one ACS estimate against one BEA-adjacent income estimate, restricted to a particular population band. The methodology page shows the equation, the source variables, the known limitations, and the replication SQL. Every place named in this article has a per-place profile linked above; they're worth reading in pairs.
The bigger story, for the housing-affordability debate, isn't the bottom of this list. It's the top. The same warehouse that produces this list also produces an Aspen-CO years-to-own of 35.2 (a value that places it in the top 1% of all U.S. Census places, for housing cost burden) and a Provincetown-MA years-to-own of 26. A country whose affordability range runs from 0.96 to 35 is a country with at least two completely separate housing markets, and any policy that treats them as one will miss.