Aquebogue, NY
How exposed is Aquebogue to wildfire?
Out of every US place USFS scores, Aquebogue lands at the 41st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 1,785 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Aquebogue's burn probability — fire likelihood with no building count factored in — sits at the 42nd percentile nationally.
Where Aquebogue's buildings actually sit
Of Aquebogue's 1,785 counted buildings, 48.4% carry Direct exposure and only 23.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Aquebogue compares
Compare Aquebogue's two percentiles: 87th within New York, only 41st nationally — a gap of 45 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Aquebogue ranks 18,471 for wildfire risk (1 is highest) and 8,110 by building count (1 is largest). Within New York alone, it ranks 175 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
Aquebogue's elevated wildfire rating (41st 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 48.4% of Aquebogue 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 Aquebogue's figures come from
Every one of the two percentiles behind Aquebogue's 18,471-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Aquebogue's dominant direct exposure actually means, with real examples from across the dataset.