WildfireRiskFinder

Cove, OR

How exposed is Cove to wildfire?

Very High
82ndpercentile nationally

USFS's Wildfire Risk to Communities model puts Cove at the 82nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 480 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cove at the 83rd percentile, close to its 82nd-percentile risk score.

What "at risk" means for the buildings here

480Total buildings
50.4%Direct exposure
49.6%Indirect exposure
0%Minimal exposure

Of Cove's 480 counted buildings, 50.4% 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.

How Cove compares

Inside Oregon, Cove sits at just the 63rd percentile even though it scores 82nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Cove ranks 5,645 for wildfire risk (1 is highest) and 17,713 by building count (1 is largest). Within Oregon alone, it ranks 155 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

Because Cove 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.

Hardening a home in Cove

Cove's 50.4% 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 Cove's figures come from

The methodology guide shows exactly how USFS turned 480 counted buildings into the percentiles shown above for Cove. The exposure-zones guide covers what Cove's dominant direct exposure actually means, with real examples from across the dataset.