Dayville, OR
Dayville, OR's wildfire risk, in USFS's own numbers
Dayville sits at the 93rd 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 173 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 Dayville at the 94th percentile, close to its 93rd-percentile risk score.
Dayville's building exposure, zone by zone
Of Dayville's 173 counted buildings, 100% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Dayville ranks
Dayville's risk sits at a similar level relative to Oregon (80th percentile statewide) as it does nationally (93rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Dayville ranks 2,089 for wildfire risk (1 is highest) and 25,913 by building count (1 is largest). Within Oregon alone, it ranks 85 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
What this risk score means for insurance
Dayville 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 93rd national percentile. More on the disclosure law.
Hardening a home in Dayville
Dayville'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 Dayville's figures come from
Every one of the two percentiles behind Dayville's 2,089-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dayville's dominant direct exposure actually means, with real examples from across the dataset.