WildfireRiskFinder

Virgil, NY

How exposed is Virgil to wildfire?

Low
18thpercentile nationally

Virgil's 211 buildings earn a 18th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Virgil at the 18th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

211Total buildings
76.8%Direct exposure
23.2%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Virgil: 76.8% of its 211 buildings, versus 23.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Virgil ranks

Virgil's 42nd-percentile standing inside New York outpaces its 18th 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, Virgil ranks 25,786 for wildfire risk (1 is highest) and 24,445 by building count (1 is largest). Within New York alone, it ranks 752 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Shopping for coverage in Virgil

Virgil's low rating (18th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Virgil

Virgil's 76.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Virgil's figures come from

Virgil's 18th-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 Virgil's dominant direct exposure actually means, with real examples from across the dataset.