Willamina, OR
Willamina wildfire risk explained
USFS's Wildfire Risk to Communities model puts Willamina at the 47th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 927 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Willamina at the 48th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Willamina's buildings actually sit
84.8% of Willamina's 927 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.1% Direct and 0.1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Willamina against the rest of the country
There's little gap between Willamina's 47th national percentile and its 43rd percentile inside Oregon, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Willamina ranks 16,872 for wildfire risk (1 is highest) and 12,502 by building count (1 is largest). Within Oregon alone, it ranks 241 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Willamina and the insurance market
Because Willamina 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.
What would actually reduce this score
Willamina's 84.8% 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 Willamina's figures come from
Every one of the two percentiles behind Willamina's 16,872-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Willamina's dominant indirect exposure actually means, with real examples from across the dataset.