Leggett, CA
Leggett wildfire risk explained
USFS's Wildfire Risk to Communities model puts Leggett at the 79th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 106 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Leggett at the 77th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
100% of Leggett's 106 buildings sit in USFS's Direct exposure zone, roughly 106 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Leggett ranks
Inside California, Leggett sits at just the 39th percentile even though it scores 79th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Leggett ranks 6,546 for wildfire risk (1 is highest) and 28,759 by building count (1 is largest). Within California alone, it ranks 954 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Leggett
Because Leggett 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.
What would actually reduce this score
Leggett's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Leggett's figures come from
Every one of the two percentiles behind Leggett's 6,546-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Leggett's dominant direct exposure actually means, with real examples from across the dataset.