Chualar, CA
Chualar, CA's wildfire risk, in USFS's own numbers
Chualar's 277 buildings earn a 17th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Chualar's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
What "at risk" means for the buildings here
92.8% of Chualar's 277 buildings sit in USFS's Minimal exposure zone, with only 7.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Chualar against the rest of the country
Inside California, Chualar sits at just the 1st percentile even though it scores 17th 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, Chualar ranks 26,211 for wildfire risk (1 is highest) and 22,286 by building count (1 is largest). Within California alone, it ranks 1,550 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Chualar and the insurance market
Because Chualar 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
Chualar's 92.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Chualar's figures come from
Chualar's 17th-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 Chualar's dominant minimal exposure actually means, with real examples from across the dataset.