Nuevo, CA
How exposed is Nuevo to wildfire?
Nuevo's 2,946 buildings earn a 95th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nuevo at the 96th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Nuevo's building exposure, zone by zone
2,946 buildings are counted in Nuevo, and 65% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Nuevo ranks
Inside California, Nuevo sits at just the 73rd percentile even though it scores 95th 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, Nuevo ranks 1,663 for wildfire risk (1 is highest) and 5,521 by building count (1 is largest). Within California alone, it ranks 424 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
Nuevo sits in California, one of two states that legally require a wildfire-risk disclosure at sale. California's FAIR Plan, the state's insurer of last resort, ended 2025 with 668,609 residential policies after adding 21,859 in Q4 alone — the kind of market shift a 95th-percentile score like Nuevo's can end up mattering for. More on the disclosure law.
Hardening a home in Nuevo
Nuevo's 65% 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 Nuevo's figures come from
Every one of the two percentiles behind Nuevo's 1,663-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nuevo's dominant direct exposure actually means, with real examples from across the dataset.