Warwick, NY
How exposed is Warwick to wildfire?
Out of every US place USFS scores, Warwick lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 2,069 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Warwick at the 51st national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Warwick's buildings actually sit
Most of Warwick's buildings (54.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Warwick ranks
Compare Warwick's two percentiles: 94th within New York, only 50th nationally — a gap of 44 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Warwick ranks 15,826 for wildfire risk (1 is highest) and 7,289 by building count (1 is largest). Within New York alone, it ranks 78 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Warwick and the insurance market
At the 50th national percentile, Warwick rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Warwick's 54.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Warwick's figures come from
The methodology guide shows exactly how USFS turned 2,069 counted buildings into the percentiles shown above for Warwick. The exposure-zones guide covers what Warwick's dominant indirect exposure actually means, with real examples from across the dataset.