East Hampton, NY
How exposed is East Hampton to wildfire?
East Hampton's 2,978 buildings earn a 32nd-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, East Hampton's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.
Where East Hampton's buildings actually sit
USFS classifies 46% of East Hampton's buildings as Direct exposure, higher than its 29.5% Indirect share and far above its 24.5% Minimal share — a profile where 1,370 structures sit close enough to vegetation that lot clearing matters most.
East Hampton against the rest of the country
East Hampton's 70th-percentile standing inside New York outpaces its 32nd 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, East Hampton ranks 21,305 for wildfire risk (1 is highest) and 5,473 by building count (1 is largest). Within New York alone, it ranks 384 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
East Hampton's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in East Hampton
With 46% of East Hampton 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 East Hampton's figures come from
East Hampton's 32nd-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 East Hampton's dominant direct exposure actually means, with real examples from across the dataset.