WildfireRiskFinder

Ronan, MT

Ronan, MT's wildfire risk, in USFS's own numbers

High
66thpercentile nationally

USFS scores Ronan at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,055 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ronan's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.

Where Ronan's buildings actually sit

1,055Total buildings
9.8%Direct exposure
55.5%Indirect exposure
34.8%Minimal exposure

USFS puts 55.5% of Ronan's 1,055 buildings in the Indirect exposure zone, versus 9.8% Direct and 34.8% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Ronan compares

Ronan's 66th national percentile looks worse in isolation than its 34th ranking inside Montana does — this place is on the milder end for its own state, by 32 points. Among the 31,521 US communities USFS scores, Ronan ranks 10,597 for wildfire risk (1 is highest) and 11,569 by building count (1 is largest). Within Montana alone, it ranks 314 of 475 places by risk. See the full county-by-county picture for Montana on its state page.

Shopping for coverage in Ronan

Ronan's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Ronan

With ember exposure the dominant pattern in Ronan (55.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Ronan's figures come from

Every one of the two percentiles behind Ronan's 10,597-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ronan's dominant indirect exposure actually means, with real examples from across the dataset.