Elmont, NY
How exposed is Elmont to wildfire?
USFS scores Elmont at the 17th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 8,971 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 Elmont at the 22nd percentile, close to its 17th-percentile risk score.
What "at risk" means for the buildings here
Elmont rates 99.9% Minimal exposure against just 0.1% Direct and 0% Indirect — of 8,971 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 8,971 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Elmont ranks
Compare Elmont's two percentiles: 39th within New York, only 17th nationally — a gap of 22 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Elmont ranks 26,290 for wildfire risk (1 is highest) and 1,856 by building count (1 is largest). Within New York alone, it ranks 790 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Elmont
Elmont's low rating (17th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 99.9% of buildings rated Minimal exposure, Elmont gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Elmont's figures come from
Elmont'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 Elmont's dominant minimal exposure actually means, with real examples from across the dataset.