Bangor, CA
How exposed is Bangor to wildfire?
USFS's Wildfire Risk to Communities model puts Bangor at the 92nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 666 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bangor at the 93rd percentile, close to its 92nd-percentile risk score.
What "at risk" means for the buildings here
Direct exposure dominates in Bangor: 100% of its 666 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Bangor compares
Bangor ranks lower within California (67th percentile statewide) than its 92nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Bangor ranks 2,479 for wildfire risk (1 is highest) and 14,996 by building count (1 is largest). Within California alone, it ranks 522 of 1,570 places by risk. See the full county-by-county picture for California on its state page.
Shopping for coverage in Bangor
Bangor's 92nd-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.
Hardening a home in Bangor
Bangor's 100% 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 Bangor's figures come from
The methodology guide shows exactly how USFS turned 666 counted buildings into the percentiles shown above for Bangor. The exposure-zones guide covers what Bangor's dominant direct exposure actually means, with real examples from across the dataset.