WildfireRiskFinder

Olcott, NY

How exposed is Olcott to wildfire?

Low
2ndpercentile nationally

Olcott sits at the 2nd 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 897 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Olcott's burn probability — fire likelihood with no building count factored in — sits at the 2nd percentile nationally.

Where Olcott's buildings actually sit

897Total buildings
46.5%Direct exposure
0%Indirect exposure
53.5%Minimal exposure

Olcott rates 53.5% Minimal exposure against just 46.5% Direct and 0% Indirect — of 897 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Olcott against the rest of the country

There's little gap between Olcott's 2nd national percentile and its 0th 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, Olcott ranks 30,868 for wildfire risk (1 is highest) and 12,751 by building count (1 is largest). Within New York alone, it ranks 1,285 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Shopping for coverage in Olcott

At the 2nd national percentile, Olcott 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 Olcott

Even with 53.5% of Olcott 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 Olcott's figures come from

The methodology guide shows exactly how USFS turned 897 counted buildings into the percentiles shown above for Olcott. The exposure-zones guide covers what Olcott's dominant minimal exposure actually means, with real examples from across the dataset.