WildfireRiskFinder

Liverpool, NY

Liverpool, NY's wildfire risk, in USFS's own numbers

Low
4thpercentile nationally

Liverpool's 1,216 buildings earn a 4th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Liverpool's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.

What "at risk" means for the buildings here

1,216Total buildings
11%Direct exposure
0%Indirect exposure
89%Minimal exposure

Most of Liverpool's buildings (89% of 1,216) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where Liverpool ranks

There's little gap between Liverpool's 4th national percentile and its 3rd 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, Liverpool ranks 30,233 for wildfire risk (1 is highest) and 10,558 by building count (1 is largest). Within New York alone, it ranks 1,245 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Shopping for coverage in Liverpool

At the 4th national percentile, Liverpool 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

Even with 89% of Liverpool outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Liverpool's figures come from

The methodology guide shows exactly how USFS turned 1,216 counted buildings into the percentiles shown above for Liverpool. The exposure-zones guide covers what Liverpool's dominant minimal exposure actually means, with real examples from across the dataset.