WildfireRiskFinder

Nevada, OH

How exposed is Nevada to wildfire?

Low
3rdpercentile nationally

Out of every US place USFS scores, Nevada lands at the 3rd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 464 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Nevada's burn probability — fire likelihood with no building count factored in — sits at the 3rd percentile nationally.

Where Nevada's buildings actually sit

464Total buildings
9.7%Direct exposure
0%Indirect exposure
90.3%Minimal exposure

Only 9.7% of Nevada's 464 buildings carry Direct exposure and 0% carry Indirect; the remaining 90.3% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Where Nevada ranks

Within Ohio, Nevada ranks higher (18th percentile) than it does nationally (3rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Nevada ranks 30,556 for wildfire risk (1 is highest) and 17,992 by building count (1 is largest). Within Ohio alone, it ranks 1,033 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

What this risk score means for insurance

At the 3rd national percentile, Nevada 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

Nevada's 90.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Nevada's figures come from

Nevada's 3rd-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 Nevada's dominant minimal exposure actually means, with real examples from across the dataset.