Canyonville, OR
How exposed is Canyonville to wildfire?
Canyonville's 881 buildings earn a 98th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Canyonville at the 97th percentile, close to its 98th-percentile risk score.
Canyonville's building exposure, zone by zone
Most of Canyonville's buildings (75.6%) 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.
Canyonville against the rest of the country
Canyonville scores 98th nationally and 93rd within Oregon — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Canyonville ranks 580 for wildfire risk (1 is highest) and 12,902 by building count (1 is largest). Within Oregon alone, it ranks 31 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Canyonville and the insurance market
Canyonville sits in Oregon, one of two states that legally require a wildfire-risk disclosure at sale. Sellers here disclose wildfire-hazard status before closing, the same number this page reports at the 98th national percentile. More on the disclosure law.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Canyonville (75.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Canyonville's figures come from
The methodology guide shows exactly how USFS turned 881 counted buildings into the percentiles shown above for Canyonville. The exposure-zones guide covers what Canyonville's dominant indirect exposure actually means, with real examples from across the dataset.