WildfireRiskFinder

Harrod, OH

How exposed is Harrod to wildfire?

Low
1stpercentile nationally

Harrod sits at the 1st 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 296 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

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

What "at risk" means for the buildings here

296Total buildings
11.8%Direct exposure
0%Indirect exposure
88.2%Minimal exposure

USFS classifies 88.2% of Harrod's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 11.8% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

How Harrod compares

There's little gap between Harrod's 1st national percentile and its 9th percentile inside Ohio, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Harrod ranks 31,088 for wildfire risk (1 is highest) and 21,738 by building count (1 is largest). Within Ohio alone, it ranks 1,154 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Shopping for coverage in Harrod

Harrod'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 Harrod

Harrod's 88.2% 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 Harrod's figures come from

Every one of the two percentiles behind Harrod's 31,088-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Harrod's dominant minimal exposure actually means, with real examples from across the dataset.