Garden City Park, NY
Garden City Park wildfire risk explained
Out of every US place USFS scores, Garden City Park lands at the 24th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 2,723 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Garden City Park at the 31st national percentile — 6 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Most of Garden City Park's buildings (99.9% of 2,723) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Garden City Park compares
Compare Garden City Park's two percentiles: 51st within New York, only 24th nationally — a gap of 27 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Garden City Park ranks 23,927 for wildfire risk (1 is highest) and 5,893 by building count (1 is largest). Within New York alone, it ranks 634 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Garden City Park and the insurance market
At the 24th national percentile, Garden City Park rates moderate 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 Garden City Park
Garden City Park's 99.9% 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 Garden City Park's figures come from
The methodology guide shows exactly how USFS turned 2,723 counted buildings into the percentiles shown above for Garden City Park. The exposure-zones guide covers what Garden City Park's dominant minimal exposure actually means, with real examples from across the dataset.