Raynesford, MT
Raynesford, MT's wildfire risk, in USFS's own numbers
Raynesford sits at the 66th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 51 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Raynesford at the 64th percentile, close to its 66th-percentile risk score.
Where Raynesford's buildings actually sit
Most of Raynesford's buildings (58.8%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Raynesford against the rest of the country
Raynesford'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 33 points. Among the 31,521 US communities USFS scores, Raynesford ranks 10,656 for wildfire risk (1 is highest) and 30,903 by building count (1 is largest). Within Montana alone, it ranks 317 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Shopping for coverage in Raynesford
Raynesford'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.
What would actually reduce this score
Because 58.8% of Raynesford'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 Raynesford's figures come from
Raynesford's 66th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Raynesford's dominant indirect exposure actually means, with real examples from across the dataset.