West Winfield, NY
West Winfield, NY's wildfire risk, in USFS's own numbers
West Winfield sits at the 6th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 462 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks West Winfield at the 6th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
462 buildings are counted in West Winfield, and 52.6% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where West Winfield ranks
There's little gap between West Winfield's 6th national percentile and its 8th percentile inside New York, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, West Winfield ranks 29,735 for wildfire risk (1 is highest) and 18,032 by building count (1 is largest). Within New York alone, it ranks 1,187 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
West Winfield's low wildfire rating (6th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Because Direct exposure dominates in West Winfield (52.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where West Winfield's figures come from
The methodology guide shows exactly how USFS turned 462 counted buildings into the percentiles shown above for West Winfield. The exposure-zones guide covers what West Winfield's dominant direct exposure actually means, with real examples from across the dataset.