Rye, NY
Rye, NY's wildfire risk, in USFS's own numbers
Rye's 5,215 buildings earn a 27th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rye at the 29th percentile, close to its 27th-percentile risk score.
Where Rye's buildings actually sit
Only 37.1% of Rye's 5,215 buildings carry Direct exposure and 0% carry Indirect; the remaining 62.9% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure. At 5,215 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Rye against the rest of the country
Within New York, Rye ranks higher (57th percentile) than it does nationally (27th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rye ranks 22,922 for wildfire risk (1 is highest) and 3,306 by building count (1 is largest). Within New York alone, it ranks 557 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Rye
Rye's moderate wildfire rating (27th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Rye's 62.9% 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 Rye's figures come from
Rye's 27th-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 Rye's dominant minimal exposure actually means, with real examples from across the dataset.