Halsey, OR
Halsey, OR's wildfire risk, in USFS's own numbers
Halsey sits at the 18th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 483 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Halsey at the 23rd percentile, close to its 18th-percentile risk score.
What "at risk" means for the buildings here
90.7% of Halsey's 483 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 9.3% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Halsey compares
Halsey's risk sits at a similar level relative to Oregon (10th percentile statewide) as it does nationally (18th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Halsey ranks 25,761 for wildfire risk (1 is highest) and 17,652 by building count (1 is largest). Within Oregon alone, it ranks 377 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Halsey and the insurance market
Halsey 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 18th national percentile. More on the disclosure law.
Lowering exposure, not just insuring around it
Halsey's 90.7% 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 Halsey's figures come from
The methodology guide shows exactly how USFS turned 483 counted buildings into the percentiles shown above for Halsey. The exposure-zones guide covers what Halsey's dominant indirect exposure actually means, with real examples from across the dataset.