Scotts Corners, NY
Scotts Corners wildfire risk explained
USFS's Wildfire Risk to Communities model puts Scotts Corners at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 633 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 Scotts Corners at the 42nd percentile, close to its 43rd-percentile risk score.
Scotts Corners's building exposure, zone by zone
Of Scotts Corners's 633 counted buildings, 92.7% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Scotts Corners against the rest of the country
Compare Scotts Corners's two percentiles: 88th within New York, only 43rd nationally — a gap of 45 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Scotts Corners ranks 17,970 for wildfire risk (1 is highest) and 15,432 by building count (1 is largest). Within New York alone, it ranks 155 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
Scotts Corners's elevated rating (43rd 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 Scotts Corners
Because Direct exposure dominates in Scotts Corners (92.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Scotts Corners's figures come from
Every one of the two percentiles behind Scotts Corners's 17,970-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Scotts Corners's dominant direct exposure actually means, with real examples from across the dataset.