Franklinville, NY
Franklinville wildfire risk explained
Out of every US place USFS scores, Franklinville lands at the 10th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 870 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Franklinville at the 10th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Franklinville's buildings actually sit
870 buildings are counted in Franklinville, and 56.8% of them are Indirect exposure — ember-driven risk rather than the 43.2% in Direct exposure or the 0% rated Minimal.
Franklinville against the rest of the country
Franklinville's risk sits at a similar level relative to New York (24th percentile statewide) as it does nationally (10th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Franklinville ranks 28,242 for wildfire risk (1 is highest) and 12,989 by building count (1 is largest). Within New York alone, it ranks 974 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
At the 10th national percentile, Franklinville rates low 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
Franklinville's 56.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Franklinville's figures come from
The methodology guide shows exactly how USFS turned 870 counted buildings into the percentiles shown above for Franklinville. The exposure-zones guide covers what Franklinville's dominant indirect exposure actually means, with real examples from across the dataset.