Crockett, CA
How exposed is Crockett to wildfire?
Crockett's 1,407 buildings earn a 90th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crockett's burn probability — fire likelihood with no building count factored in — sits at the 91st percentile nationally.
What "at risk" means for the buildings here
USFS puts 87.5% of Crockett's 1,407 buildings in the Indirect exposure zone, versus 12.4% Direct and 0.1% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Crockett against the rest of the country
Crockett's 90th national percentile looks worse in isolation than its 61st ranking inside California does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Crockett ranks 3,267 for wildfire risk (1 is highest) and 9,596 by building count (1 is largest). Within California alone, it ranks 617 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
Crockett sits in California, one of two states that legally require a wildfire-risk disclosure at sale. California's FAIR Plan, the state's insurer of last resort, ended 2025 with 668,609 residential policies after adding 21,859 in Q4 alone — the kind of market shift a 90th-percentile score like Crockett's can end up mattering for. More on the disclosure law.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Crockett (87.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Crockett's figures come from
Crockett's 90th-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 Crockett's dominant indirect exposure actually means, with real examples from across the dataset.