Dorris, CA
Dorris, CA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Dorris lands at the 88th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 659 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dorris's burn probability — fire likelihood with no building count factored in — sits at the 89th percentile nationally.
Where Dorris's buildings actually sit
Indirect exposure is dominant in Dorris (90.7% of 659 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 9.3% sit in the Direct zone.
How Dorris compares
Dorris ranks lower within California (57th percentile statewide) than its 88th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Dorris ranks 3,804 for wildfire risk (1 is highest) and 15,073 by building count (1 is largest). Within California alone, it ranks 681 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
Because Dorris is in California, a wildfire-hazard disclosure is legally required before a sale closes here — unusual nationally, since only these two states mandate it. The state's FAIR Plan alone carried 668,609 policies by the end of 2025. Full detail in the disclosure-law guide.
Lowering exposure, not just insuring around it
Because 90.7% of Dorris's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Dorris's figures come from
Every one of the two percentiles behind Dorris's 3,804-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dorris's dominant indirect exposure actually means, with real examples from across the dataset.