WildfireRiskFinder

Old Fort, OH

Old Fort, OH's wildfire risk, in USFS's own numbers

Low
1stpercentile nationally

USFS scores Old Fort at the 1st national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 146 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Old Fort at the 1st percentile, close to its 1st-percentile risk score.

Where Old Fort's buildings actually sit

146Total buildings
15.8%Direct exposure
0%Indirect exposure
84.3%Minimal exposure

USFS classifies 84.3% of Old Fort's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 15.8% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Old Fort against the rest of the country

Old Fort's risk sits at a similar level relative to Ohio (9th percentile statewide) as it does nationally (1st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Old Fort ranks 31,089 for wildfire risk (1 is highest) and 27,038 by building count (1 is largest). Within Ohio alone, it ranks 1,155 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Shopping for coverage in Old Fort

Old Fort's low rating (1st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Old Fort

Old Fort's 84.3% 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 Old Fort's figures come from

The methodology guide shows exactly how USFS turned 146 counted buildings into the percentiles shown above for Old Fort. The exposure-zones guide covers what Old Fort's dominant minimal exposure actually means, with real examples from across the dataset.