Deer Island, OR
How exposed is Deer Island to wildfire?
USFS scores Deer Island at the 25th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 171 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Deer Island at the 26th percentile, close to its 25th-percentile risk score.
Deer Island's building exposure, zone by zone
Direct exposure dominates in Deer Island: 57.3% of its 171 buildings, versus 42.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Deer Island against the rest of the country
Deer Island's risk sits at a similar level relative to Oregon (20th percentile statewide) as it does nationally (25th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Deer Island ranks 23,745 for wildfire risk (1 is highest) and 25,998 by building count (1 is largest). Within Oregon alone, it ranks 335 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Deer Island and the insurance market
Because Deer Island is in Oregon, a wildfire-hazard disclosure is legally required before a sale closes here — unusual nationally, since only these two states mandate it. Full detail in the disclosure-law guide.
Lowering exposure, not just insuring around it
Deer Island's 57.3% 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 Deer Island's figures come from
Every one of the two percentiles behind Deer Island's 23,745-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Deer Island's dominant direct exposure actually means, with real examples from across the dataset.