WildfireRiskFinder

Canton, NY

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

Low
15thpercentile nationally

USFS's Wildfire Risk to Communities model puts Canton at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 1,628 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Canton at the 16th percentile, close to its 15th-percentile risk score.

Canton's building exposure, zone by zone

1,628Total buildings
27.9%Direct exposure
72.1%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Canton (72.1% of 1,628 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 27.9% sit in the Direct zone.

Where Canton ranks

Within New York, Canton ranks higher (36th percentile) than it does nationally (15th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Canton ranks 26,731 for wildfire risk (1 is highest) and 8,658 by building count (1 is largest). Within New York alone, it ranks 827 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Canton and the insurance market

At the 15th national percentile, Canton rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Canton

With ember exposure the dominant pattern in Canton (72.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Canton's figures come from

The methodology guide shows exactly how USFS turned 1,628 counted buildings into the percentiles shown above for Canton. The exposure-zones guide covers what Canton's dominant indirect exposure actually means, with real examples from across the dataset.