Custer County, MT
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Total Properties

15,498

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Average Square Feet

Price per Sq Ft

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Total Properties
31116,013

DistributionTotal Properties

Property

Total Properties

15,498

Median Home Price

Average Home Price

Average Square Feet

Price per Sq Ft

Recent Sales (12mo)

YoY Price Change

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Where the Yellowstone Runs Wide and Prices Stay Low

Custer County sits at a crossroads that few Americans will ever visit — the confluence of the Tongue and Yellowstone Rivers in southeastern Montana, anchored by Miles City, a working cattle town that has stubbornly resisted the mountain-west real estate fever that has reshaped places like Bozeman and Missoula beyond recognition. The numbers here tell a story that's increasingly rare in the American West: genuine affordability, rock-bottom unemployment, and a community that largely owns what it lives in.

At $204,200, the median home value is roughly 64% of the national median — and that's not a sign of distress. It's the signature of a place insulated from the amenity-driven migration that has pushed property values skyward across Montana's more photogenic corners. Custer County doesn't have ski resorts or Yellowstone National Park on its doorstep. It has the Miles City Bucking Horse Sale, one of the most celebrated rodeo events in the country, and an agricultural economy built on cattle ranching and dryland wheat farming that has kept land ownership deeply embedded in the local culture.

A Homeownership Story Worth Noting

At 68.5% homeownership, Custer County exceeds both state and national norms — a reflection of affordable prices, multi-generational ranching families, and a culture where renting is often a transitional phase rather than a permanent condition. The vacancy rate of 12.6% is worth watching, however. In a county of under 12,000 people, empty units can signal out-migration pressure or seasonal dynamics rather than a building boom gone wrong. Miles City has been slowly losing younger residents to larger Montana cities for decades, and that demographic gravity shows in a median age of 42.6.

The Inequality Puzzle

The Gini coefficient of 0.446 is surprisingly high for a rural county of this size and profile. It points to a familiar western pattern: a small number of large agricultural landholders sit atop the income distribution, while service workers, ranch hands, and younger families cluster in the lower brackets. That tension surfaces in the rent burden data — 35.4% of renters are cost-burdened, above the 30% threshold, and 21% face severe burden. With median rent at $918 and median household income below the national average, the rental market is pinching the portion of the population that hasn't been able to buy in.

The disability rate of 20.2% and a population where one in five residents is over 65 also suggest a community with real healthcare and social service needs in a region where access to specialists requires a long drive.

Key Statistics

StatValueContext
Median Home Value$204,20036% below national median
Homeownership Rate68.5%above national avg of ~65%
Unemployment Rate2.7%well below national benchmark
Severe Rent Burden21.0%1 in 5 renters in housing stress

What makes Custer County, Montana unique? Custer County is one of the few places in the American West where you can still buy a home at a reasonable price-to-income ratio — roughly 3.2x — without leaving the workforce behind. Its cattle-town economy and distance from resort corridors have kept it off the speculative radar while unemployment sits near historic lows.

Is Miles City, MT a good place to buy a home right now? For buyers, the fundamentals are hard to argue with: affordable prices, strong ownership rates, and low unemployment. The caution is on the renter side — rent has climbed enough relative to local wages that the rental market is quietly stressed, which suggests the town isn't immune to broader housing pressures, just delayed.

Why is the income inequality relatively high in a rural Montana county? Agricultural economies concentrate land wealth among a small number of families while simultaneously employing significant numbers of lower-wage workers in service, ranch labor, and retail roles. That top-heavy income distribution in Custer County likely reflects the footprint of large ranch and farming operations rather than tech-driven gentrification.

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