Cutten, CA
How exposed is Cutten to wildfire?
Cutten sits at the 43rd percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 1,372 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cutten at the 45th percentile, close to its 43rd-percentile risk score.
Where Cutten's buildings actually sit
1,372 buildings are counted in Cutten, and 75.7% of them are Indirect exposure — ember-driven risk rather than the 24.3% in Direct exposure or the 0% rated Minimal.
How Cutten compares
Inside California, Cutten sits at just the 7th percentile even though it scores 43rd 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, Cutten ranks 18,112 for wildfire risk (1 is highest) and 9,743 by building count (1 is largest). Within California alone, it ranks 1,466 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Cutten
Because Cutten 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 75.7% of Cutten'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 Cutten's figures come from
Every one of the two percentiles behind Cutten's 18,112-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cutten's dominant indirect exposure actually means, with real examples from across the dataset.