Biggs, CA
Biggs wildfire risk explained
USFS scores Biggs at the 84th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 837 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Biggs at the 85th percentile, close to its 84th-percentile risk score.
Biggs's building exposure, zone by zone
Indirect exposure is dominant in Biggs (86.9% of 837 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 13.1% sit in the Direct zone.
How Biggs compares
Biggs's 84th national percentile looks worse in isolation than its 46th ranking inside California does — this place is on the milder end for its own state, by 37 points. Among the 31,521 US communities USFS scores, Biggs ranks 5,160 for wildfire risk (1 is highest) and 13,282 by building count (1 is largest). Within California alone, it ranks 844 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Biggs
Biggs 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 84th-percentile score like Biggs's can end up mattering for. More on the disclosure law.
What would actually reduce this score
Because 86.9% of Biggs'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 Biggs's figures come from
Biggs's 84th-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 Biggs's dominant indirect exposure actually means, with real examples from across the dataset.