Starr School, MT
Starr School, MT's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Starr School lands at the 88th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 111 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Starr School at the 89th percentile, close to its 88th-percentile risk score.
What "at risk" means for the buildings here
111 buildings are counted in Starr School, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Starr School against the rest of the country
Inside Montana, Starr School sits at just the 71st percentile even though it scores 88th 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, Starr School ranks 3,878 for wildfire risk (1 is highest) and 28,594 by building count (1 is largest). Within Montana alone, it ranks 142 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Starr School and the insurance market
Starr School's very high rating (88th 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 Starr School
Because Direct exposure dominates in Starr School (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Starr School's figures come from
Every one of the two percentiles behind Starr School's 3,878-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Starr School's dominant direct exposure actually means, with real examples from across the dataset.