Echo, OR
Echo, OR's wildfire risk, in USFS's own numbers
Echo sits at the 76th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 346 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Echo's burn probability — fire likelihood with no building count factored in — sits at the 76th percentile nationally.
What "at risk" means for the buildings here
Most of Echo's buildings (81.5%) 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.
How Echo compares
Echo's 76th national percentile looks worse in isolation than its 59th ranking inside Oregon does — this place is on the milder end for its own state, by 17 points. Among the 31,521 US communities USFS scores, Echo ranks 7,605 for wildfire risk (1 is highest) and 20,434 by building count (1 is largest). Within Oregon alone, it ranks 173 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 Echo 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 Echo
Echo's 81.5% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Echo's figures come from
Every one of the two percentiles behind Echo's 7,605-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Echo's dominant indirect exposure actually means, with real examples from across the dataset.