Shady Cove, OR
Shady Cove, OR's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Shady Cove at the 99th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,793 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shady Cove at the 99th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Indirect exposure is dominant in Shady Cove (57% of 1,793 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 43% sit in the Direct zone.
Shady Cove against the rest of the country
Shady Cove's risk sits at a similar level relative to Oregon (95th percentile statewide) as it does nationally (99th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Shady Cove ranks 423 for wildfire risk (1 is highest) and 8,091 by building count (1 is largest). Within Oregon alone, it ranks 22 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Shady Cove and the insurance market
Shady Cove 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 99th national percentile. More on the disclosure law.
Hardening a home in Shady Cove
With ember exposure the dominant pattern in Shady Cove (57% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Shady Cove's figures come from
The methodology guide shows exactly how USFS turned 1,793 counted buildings into the percentiles shown above for Shady Cove. The exposure-zones guide covers what Shady Cove's dominant indirect exposure actually means, with real examples from across the dataset.