Terryville, NY
Terryville, NY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Terryville lands at the 32nd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 3,561 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Terryville at the 34th percentile, close to its 32nd-percentile risk score.
Terryville's building exposure, zone by zone
Only 22.3% of Terryville's 3,561 buildings carry Direct exposure and 2.4% carry Indirect; the remaining 75.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Terryville ranks
Terryville's 70th-percentile standing inside New York outpaces its 32nd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Terryville ranks 21,309 for wildfire risk (1 is highest) and 4,704 by building count (1 is largest). Within New York alone, it ranks 388 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
Terryville's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Terryville's 75.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Terryville's figures come from
The methodology guide shows exactly how USFS turned 3,561 counted buildings into the percentiles shown above for Terryville. The exposure-zones guide covers what Terryville's dominant minimal exposure actually means, with real examples from across the dataset.