Radersburg, MT
How exposed is Radersburg to wildfire?
USFS's Wildfire Risk to Communities model puts Radersburg at the 79th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 103 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Radersburg's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.
What "at risk" means for the buildings here
103 buildings are counted in Radersburg, and 81.6% 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.
Where Radersburg ranks
Radersburg ranks lower within Montana (52nd percentile statewide) than its 79th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Radersburg ranks 6,558 for wildfire risk (1 is highest) and 28,908 by building count (1 is largest). Within Montana alone, it ranks 231 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Shopping for coverage in Radersburg
Radersburg's 79th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Radersburg (81.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Radersburg's figures come from
Every one of the two percentiles behind Radersburg's 6,558-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Radersburg's dominant direct exposure actually means, with real examples from across the dataset.