Victory, NY
Victory wildfire risk explained
Victory sits at the 16th 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 293 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Victory's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
Victory's building exposure, zone by zone
USFS classifies 46.8% of Victory's buildings as Direct exposure, higher than its 10.2% Indirect share and far above its 43% Minimal share — a profile where 137 structures sit close enough to vegetation that lot clearing matters most.
Victory against the rest of the country
Compare Victory's two percentiles: 38th within New York, only 16th nationally — a gap of 22 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Victory ranks 26,384 for wildfire risk (1 is highest) and 21,834 by building count (1 is largest). Within New York alone, it ranks 799 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Victory
At the 16th national percentile, Victory rates low 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
With 46.8% of Victory 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 Victory's figures come from
Every one of the two percentiles behind Victory's 26,384-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Victory's dominant direct exposure actually means, with real examples from across the dataset.