Crow Agency, MT
How exposed is Crow Agency to wildfire?
Crow Agency sits at the 95th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 634 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crow Agency's burn probability — fire likelihood with no building count factored in — sits at the 96th percentile nationally.
Crow Agency's building exposure, zone by zone
61.2% of Crow Agency's 634 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 38.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Crow Agency against the rest of the country
Crow Agency's risk sits at a similar level relative to Montana (88th percentile statewide) as it does nationally (95th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Crow Agency ranks 1,637 for wildfire risk (1 is highest) and 15,422 by building count (1 is largest). Within Montana alone, it ranks 58 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Shopping for coverage in Crow Agency
Crow Agency'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
Because 61.2% of Crow Agency's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Crow Agency's figures come from
The methodology guide shows exactly how USFS turned 634 counted buildings into the percentiles shown above for Crow Agency. The exposure-zones guide covers what Crow Agency's dominant indirect exposure actually means, with real examples from across the dataset.