WildfireRiskFinder

Brilliant, OH

Brilliant wildfire risk explained

Moderate
37thpercentile nationally

Brilliant's 884 buildings earn a 37th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Brilliant's burn probability — fire likelihood with no building count factored in — sits at the 38th percentile nationally.

Brilliant's building exposure, zone by zone

884Total buildings
18.1%Direct exposure
81.8%Indirect exposure
0.1%Minimal exposure

Indirect exposure is dominant in Brilliant (81.8% of 884 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 18.1% sit in the Direct zone.

Brilliant against the rest of the country

Within Ohio, Brilliant ranks higher (81st percentile) than it does nationally (37th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Brilliant ranks 19,892 for wildfire risk (1 is highest) and 12,872 by building count (1 is largest). Within Ohio alone, it ranks 244 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Brilliant and the insurance market

Brilliant's moderate rating (37th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because 81.8% of Brilliant's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Brilliant's figures come from

The methodology guide shows exactly how USFS turned 884 counted buildings into the percentiles shown above for Brilliant. The exposure-zones guide covers what Brilliant's dominant indirect exposure actually means, with real examples from across the dataset.