WildfireRiskFinder

Nassau, NY

Nassau, NY's wildfire risk, in USFS's own numbers

Moderate
22ndpercentile nationally

Nassau's 506 buildings earn a 22nd-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.)

Separately from the risk score above, Nassau's burn probability — fire likelihood with no building count factored in — sits at the 21st percentile nationally.

Where Nassau's buildings actually sit

506Total buildings
41.9%Direct exposure
58.1%Indirect exposure
0%Minimal exposure

58.1% of Nassau's 506 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 41.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

How Nassau compares

Within New York, Nassau ranks higher (48th percentile) than it does nationally (22nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Nassau ranks 24,587 for wildfire risk (1 is highest) and 17,244 by building count (1 is largest). Within New York alone, it ranks 676 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Nassau and the insurance market

Nassau's moderate wildfire rating (22nd 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

With ember exposure the dominant pattern in Nassau (58.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Nassau's figures come from

Nassau's 22nd-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 Nassau's dominant indirect exposure actually means, with real examples from across the dataset.