Calpella, CA
Calpella, CA's wildfire risk, in USFS's own numbers
Calpella's 453 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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Calpella at the 94th percentile, close to its 95th-percentile risk score.
Calpella's building exposure, zone by zone
Of Calpella's 453 counted buildings, 52.8% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Calpella ranks
Inside California, Calpella 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, Calpella ranks 1,657 for wildfire risk (1 is highest) and 18,209 by building count (1 is largest). Within California alone, it ranks 418 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
Because Calpella 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
With 52.8% of Calpella in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Calpella's figures come from
The methodology guide shows exactly how USFS turned 453 counted buildings into the percentiles shown above for Calpella. The exposure-zones guide covers what Calpella's dominant direct exposure actually means, with real examples from across the dataset.