Condon, OR
Condon, OR's wildfire risk, in USFS's own numbers
Condon sits at the 96th 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 693 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Condon at the 97th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Condon's building exposure, zone by zone
Indirect exposure is dominant in Condon (70.3% of 693 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 29.7% sit in the Direct zone.
Where Condon ranks
Condon's risk sits at a similar level relative to Oregon (86th percentile statewide) as it does nationally (96th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Condon ranks 1,332 for wildfire risk (1 is highest) and 14,738 by building count (1 is largest). Within Oregon alone, it ranks 61 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Condon and the insurance market
Condon 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 96th national percentile. More on the disclosure law.
Hardening a home in Condon
With ember exposure the dominant pattern in Condon (70.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Condon's figures come from
Every one of the two percentiles behind Condon's 1,332-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Condon's dominant indirect exposure actually means, with real examples from across the dataset.