New Hyde Park, NY
How exposed is New Hyde Park to wildfire?
USFS's Wildfire Risk to Communities model puts New Hyde Park at the 20th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 3,465 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Hyde Park at the 28th national percentile — 8 points above its risk-to-structures score, a gap driven by how much is actually built there.
New Hyde Park's building exposure, zone by zone
USFS classifies 100% of New Hyde Park's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 0% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
How New Hyde Park compares
Compare New Hyde Park's two percentiles: 45th within New York, only 20th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Hyde Park ranks 25,282 for wildfire risk (1 is highest) and 4,821 by building count (1 is largest). Within New York alone, it ranks 713 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
New Hyde Park's low rating (20th 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
New Hyde Park's 100% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where New Hyde Park's figures come from
Every one of the two percentiles behind New Hyde Park's 25,282-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Hyde Park's dominant minimal exposure actually means, with real examples from across the dataset.