Winton, CA
Winton wildfire risk explained
Out of every US place USFS scores, Winton lands at the 82nd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 3,255 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Winton's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
Winton's building exposure, zone by zone
3,255 buildings are counted in Winton, and 59.5% of them are Indirect exposure — ember-driven risk rather than the 21.7% in Direct exposure or the 18.8% rated Minimal.
Where Winton ranks
Inside California, Winton sits at just the 43rd percentile even though it scores 82nd 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, Winton ranks 5,727 for wildfire risk (1 is highest) and 5,096 by building count (1 is largest). Within California alone, it ranks 893 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
Winton's 82nd-percentile score lands in California, the only two states requiring a wildfire disclosure at sale. California's surplus-lines homeowners market passed 300,000 policies for the first time in 2025, driven by carriers pulling back from wildfire-exposed areas statewide. The disclosure-law guide covers what it requires.
Lowering exposure, not just insuring around it
Because 59.5% of Winton'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 Winton's figures come from
Every one of the two percentiles behind Winton's 5,727-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Winton's dominant indirect exposure actually means, with real examples from across the dataset.