Rollingwood, CA
Rollingwood, CA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Rollingwood at the 66th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 828 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rollingwood's burn probability — fire likelihood with no building count factored in — sits at the 67th percentile nationally.
Rollingwood's building exposure, zone by zone
828 buildings are counted in Rollingwood, and 87.9% of them are Indirect exposure — ember-driven risk rather than the 0% in Direct exposure or the 12.1% rated Minimal.
How Rollingwood compares
Rollingwood ranks lower within California (24th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Rollingwood ranks 10,767 for wildfire risk (1 is highest) and 13,363 by building count (1 is largest). Within California alone, it ranks 1,199 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Rollingwood and the insurance market
Rollingwood's 66th-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
With ember exposure the dominant pattern in Rollingwood (87.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Rollingwood's figures come from
Rollingwood's 66th-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 Rollingwood's dominant indirect exposure actually means, with real examples from across the dataset.