Columbus, MT
How exposed is Columbus to wildfire?
Columbus sits at the 73rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,200 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Columbus's burn probability — fire likelihood with no building count factored in — sits at the 70th percentile nationally.
Columbus's building exposure, zone by zone
Indirect exposure is dominant in Columbus (95.9% of 1,200 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 4.1% sit in the Direct zone.
How Columbus compares
Inside Montana, Columbus sits at just the 42nd percentile even though it scores 73rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Columbus ranks 8,667 for wildfire risk (1 is highest) and 10,647 by building count (1 is largest). Within Montana alone, it ranks 277 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Columbus and the insurance market
At the 73rd percentile nationally, Columbus carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Columbus's 95.9% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Columbus's figures come from
The methodology guide shows exactly how USFS turned 1,200 counted buildings into the percentiles shown above for Columbus. The exposure-zones guide covers what Columbus's dominant indirect exposure actually means, with real examples from across the dataset.