WildfireRiskFinder

Corinth, NY

Corinth wildfire risk explained

Moderate
26thpercentile nationally

USFS scores Corinth at the 26th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,193 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Corinth at the 26th percentile, close to its 26th-percentile risk score.

Where Corinth's buildings actually sit

1,193Total buildings
18.5%Direct exposure
81.4%Indirect exposure
0.1%Minimal exposure

USFS puts 81.4% of Corinth's 1,193 buildings in the Indirect exposure zone, versus 18.5% Direct and 0.1% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Corinth compares

Compare Corinth's two percentiles: 54th within New York, only 26th nationally — a gap of 28 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Corinth ranks 23,425 for wildfire risk (1 is highest) and 10,691 by building count (1 is largest). Within New York alone, it ranks 593 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Corinth and the insurance market

At the 26th national percentile, Corinth rates moderate 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 Corinth

With ember exposure the dominant pattern in Corinth (81.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Corinth's figures come from

Every one of the two percentiles behind Corinth's 23,425-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Corinth's dominant indirect exposure actually means, with real examples from across the dataset.