La Fargeville, NY
La Fargeville, NY's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts La Fargeville at the 11th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 362 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, La Fargeville's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.
Where La Fargeville's buildings actually sit
52.2% of La Fargeville's 362 buildings sit in USFS's Direct exposure zone, roughly 189 structures close enough to burnable vegetation for flame contact, not just embers — 47.8% fall in the Indirect, ember-only zone and 0% are Minimal.
Where La Fargeville ranks
La Fargeville's risk sits at a similar level relative to New York (25th percentile statewide) as it does nationally (11th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, La Fargeville ranks 28,213 for wildfire risk (1 is highest) and 20,021 by building count (1 is largest). Within New York alone, it ranks 970 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in La Fargeville
At the 11th national percentile, La Fargeville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in La Fargeville
With 52.2% of La Fargeville in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where La Fargeville's figures come from
The methodology guide shows exactly how USFS turned 362 counted buildings into the percentiles shown above for La Fargeville. The exposure-zones guide covers what La Fargeville's dominant direct exposure actually means, with real examples from across the dataset.