Roslyn Harbor, NY
Roslyn Harbor, NY's wildfire risk, in USFS's own numbers
Roslyn Harbor's 497 buildings earn a 29th-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 Roslyn Harbor at the 31st percentile, close to its 29th-percentile risk score.
What "at risk" means for the buildings here
497 buildings are counted in Roslyn Harbor, and 77.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 22.1% rated Minimal.
How Roslyn Harbor compares
Roslyn Harbor's 61st-percentile standing inside New York outpaces its 29th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Roslyn Harbor ranks 22,350 for wildfire risk (1 is highest) and 17,411 by building count (1 is largest). Within New York alone, it ranks 502 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 29th national percentile, Roslyn Harbor rates moderate 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
With 77.9% of Roslyn Harbor in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Roslyn Harbor's figures come from
The methodology guide shows exactly how USFS turned 497 counted buildings into the percentiles shown above for Roslyn Harbor. The exposure-zones guide covers what Roslyn Harbor's dominant direct exposure actually means, with real examples from across the dataset.