WildfireRiskFinder

Sabina, OH

How exposed is Sabina to wildfire?

Low
2ndpercentile nationally

Sabina's 1,495 buildings earn a 2nd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Sabina at the 2nd percentile, close to its 2nd-percentile risk score.

What "at risk" means for the buildings here

1,495Total buildings
11.4%Direct exposure
0%Indirect exposure
88.6%Minimal exposure

88.6% of Sabina's 1,495 buildings sit in USFS's Minimal exposure zone, with only 11.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Sabina ranks

Sabina's risk sits at a similar level relative to Ohio (9th percentile statewide) as it does nationally (2nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Sabina ranks 31,062 for wildfire risk (1 is highest) and 9,194 by building count (1 is largest). Within Ohio alone, it ranks 1,148 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Sabina and the insurance market

At the 2nd national percentile, Sabina 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 Sabina

Even with 88.6% of Sabina 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 Sabina's figures come from

The methodology guide shows exactly how USFS turned 1,495 counted buildings into the percentiles shown above for Sabina. The exposure-zones guide covers what Sabina's dominant minimal exposure actually means, with real examples from across the dataset.