North Amityville, NY
How exposed is North Amityville to wildfire?
USFS scores North Amityville at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 4,254 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, North Amityville's burn probability — fire likelihood with no building count factored in — sits at the 19th percentile nationally.
What "at risk" means for the buildings here
North Amityville rates 96.8% Minimal exposure against just 3.2% Direct and 0% Indirect — of 4,254 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
North Amityville against the rest of the country
Compare North Amityville's two percentiles: 36th within New York, only 15th nationally — a gap of 21 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, North Amityville ranks 26,762 for wildfire risk (1 is highest) and 4,013 by building count (1 is largest). Within New York alone, it ranks 833 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
What this risk score means for insurance
At the 15th national percentile, North Amityville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in North Amityville
With 96.8% of buildings rated Minimal exposure, North Amityville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where North Amityville's figures come from
Every one of the two percentiles behind North Amityville's 26,762-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what North Amityville's dominant minimal exposure actually means, with real examples from across the dataset.