Akwesasne, NY
Akwesasne, NY's wildfire risk, in USFS's own numbers
USFS scores Akwesasne at the 18th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 3,149 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Akwesasne at the 18th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Akwesasne's buildings actually sit
91.7% of Akwesasne's 3,149 buildings sit in USFS's Direct exposure zone, roughly 2,888 structures close enough to burnable vegetation for flame contact, not just embers — 5.7% fall in the Indirect, ember-only zone and 2.6% are Minimal.
How Akwesasne compares
Compare Akwesasne's two percentiles: 41st within New York, only 18th nationally — a gap of 23 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Akwesasne ranks 25,850 for wildfire risk (1 is highest) and 5,233 by building count (1 is largest). Within New York alone, it ranks 756 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
Akwesasne's low rating (18th 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 Akwesasne
Akwesasne's 91.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Akwesasne's figures come from
Every one of the two percentiles behind Akwesasne's 25,850-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Akwesasne's dominant direct exposure actually means, with real examples from across the dataset.