Doyle, CA
Doyle wildfire risk explained
USFS's Wildfire Risk to Communities model puts Doyle at the 99th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 523 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Doyle's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
Where Doyle's buildings actually sit
USFS classifies 90.8% of Doyle's buildings as Direct exposure, higher than its 9.2% Indirect share and far above its 0% Minimal share — a profile where 475 structures sit close enough to vegetation that lot clearing matters most.
Where Doyle ranks
Doyle's risk sits at a similar level relative to California (87th percentile statewide) as it does nationally (99th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Doyle ranks 434 for wildfire risk (1 is highest) and 16,973 by building count (1 is largest). Within California alone, it ranks 204 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
What this risk score means for insurance
Doyle's 99th-percentile score lands in California, the only two states requiring a wildfire disclosure at sale. California's surplus-lines homeowners market passed 300,000 policies for the first time in 2025, driven by carriers pulling back from wildfire-exposed areas statewide. The disclosure-law guide covers what it requires.
Hardening a home in Doyle
With 90.8% of Doyle in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Doyle's figures come from
Doyle's 99th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Doyle's dominant direct exposure actually means, with real examples from across the dataset.