South Dayton, NY
South Dayton wildfire risk explained
USFS scores South Dayton at the 36th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 377 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks South Dayton at the 38th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
South Dayton's building exposure, zone by zone
377 buildings are counted in South Dayton, and 61.8% of them are Indirect exposure — ember-driven risk rather than the 38.2% in Direct exposure or the 0% rated Minimal.
How South Dayton compares
South Dayton's 78th-percentile standing inside New York outpaces its 36th 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, South Dayton ranks 20,050 for wildfire risk (1 is highest) and 19,726 by building count (1 is largest). Within New York alone, it ranks 280 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in South Dayton
At the 36th national percentile, South Dayton rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 61.8% of South Dayton'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 South Dayton's figures come from
South Dayton's 36th-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 South Dayton's dominant indirect exposure actually means, with real examples from across the dataset.