North Hornell, NY
North Hornell, NY's wildfire risk, in USFS's own numbers
USFS scores North Hornell at the 28th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 417 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 North Hornell at the 27th percentile, close to its 28th-percentile risk score.
Where North Hornell's buildings actually sit
417 buildings are counted in North Hornell, and 68.1% of them are Indirect exposure — ember-driven risk rather than the 31.9% in Direct exposure or the 0% rated Minimal.
How North Hornell compares
North Hornell's 58th-percentile standing inside New York outpaces its 28th 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, North Hornell ranks 22,728 for wildfire risk (1 is highest) and 18,888 by building count (1 is largest). Within New York alone, it ranks 539 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
North Hornell and the insurance market
At the 28th national percentile, North Hornell rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because 68.1% of North Hornell's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where North Hornell's figures come from
North Hornell's 28th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what North Hornell's dominant indirect exposure actually means, with real examples from across the dataset.