Sisquoc, CA
Sisquoc wildfire risk explained
Out of every US place USFS scores, Sisquoc lands at the 86th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 131 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Sisquoc at the 84th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Sisquoc's building exposure, zone by zone
USFS puts 79.4% of Sisquoc's 131 buildings in the Indirect exposure zone, versus 20.6% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Sisquoc compares
Inside California, Sisquoc sits at just the 52nd percentile even though it scores 86th 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, Sisquoc ranks 4,502 for wildfire risk (1 is highest) and 27,654 by building count (1 is largest). Within California alone, it ranks 759 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 Sisquoc 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 79.4% of Sisquoc'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 Sisquoc's figures come from
The methodology guide shows exactly how USFS turned 131 counted buildings into the percentiles shown above for Sisquoc. The exposure-zones guide covers what Sisquoc's dominant indirect exposure actually means, with real examples from across the dataset.