Airmont, NY
Airmont wildfire risk explained
USFS scores Airmont at the 27th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,916 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 Airmont at the 27th percentile, close to its 27th-percentile risk score.
Where Airmont's buildings actually sit
USFS classifies 85.2% of Airmont's buildings as Direct exposure, higher than its 0% Indirect share and far above its 14.8% Minimal share — a profile where 2,485 structures sit close enough to vegetation that lot clearing matters most.
Airmont against the rest of the country
Airmont's 55th-percentile standing inside New York outpaces its 27th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Airmont ranks 23,137 for wildfire risk (1 is highest) and 5,560 by building count (1 is largest). Within New York alone, it ranks 577 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Airmont
Airmont's moderate wildfire rating (27th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Airmont
Airmont's 85.2% 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 Airmont's figures come from
Every one of the two percentiles behind Airmont's 23,137-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Airmont's dominant direct exposure actually means, with real examples from across the dataset.