Canaseraga, NY
How exposed is Canaseraga to wildfire?
USFS's Wildfire Risk to Communities model puts Canaseraga at the 17th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 334 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Canaseraga at the 16th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Canaseraga's buildings actually sit
USFS classifies 57.2% of Canaseraga's buildings as Direct exposure, higher than its 42.8% Indirect share and far above its 0% Minimal share — a profile where 191 structures sit close enough to vegetation that lot clearing matters most.
Where Canaseraga ranks
Compare Canaseraga's two percentiles: 39th within New York, only 17th nationally — a gap of 22 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Canaseraga ranks 26,289 for wildfire risk (1 is highest) and 20,719 by building count (1 is largest). Within New York alone, it ranks 789 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
Canaseraga's low wildfire rating (17th 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.
Hardening a home in Canaseraga
Canaseraga's 57.2% 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 Canaseraga's figures come from
Every one of the two percentiles behind Canaseraga's 26,289-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Canaseraga's dominant direct exposure actually means, with real examples from across the dataset.