Unionville, MT
Unionville wildfire risk explained
USFS's Wildfire Risk to Communities model puts Unionville at the 95th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 196 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Unionville's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.
Unionville's building exposure, zone by zone
USFS classifies 100% of Unionville's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 196 structures sit close enough to vegetation that lot clearing matters most.
Where Unionville ranks
There's little gap between Unionville's 95th national percentile and its 90th percentile inside Montana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Unionville ranks 1,481 for wildfire risk (1 is highest) and 25,003 by building count (1 is largest). Within Montana alone, it ranks 50 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Shopping for coverage in Unionville
Unionville's very high rating (95th 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.
What would actually reduce this score
Unionville's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Unionville's figures come from
Every one of the two percentiles behind Unionville's 1,481-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Unionville's dominant direct exposure actually means, with real examples from across the dataset.