Dillard, OR
Dillard wildfire risk explained
USFS scores Dillard at the 84th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 259 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dillard at the 82nd percentile, close to its 84th-percentile risk score.
Dillard's building exposure, zone by zone
72.6% of Dillard's 259 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 27.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Dillard against the rest of the country
Dillard ranks lower within Oregon (65th percentile statewide) than its 84th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Dillard ranks 5,146 for wildfire risk (1 is highest) and 22,865 by building count (1 is largest). Within Oregon alone, it ranks 147 of 420 places by risk. See the full county-by-county picture for Oregon on its state page.
Dillard and the insurance market
Dillard 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 84th national percentile. More on the disclosure law.
What would actually reduce this score
Dillard's 72.6% 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 Dillard's figures come from
Every one of the two percentiles behind Dillard's 5,146-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dillard's dominant indirect exposure actually means, with real examples from across the dataset.