Beachwood, OH
Beachwood wildfire risk explained
Beachwood sits at the 22nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 3,776 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beachwood at the 25th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Beachwood's buildings actually sit
USFS classifies 91.8% of Beachwood's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 8.2% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Beachwood ranks
Beachwood's 54th-percentile standing inside Ohio outpaces its 22nd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Beachwood ranks 24,496 for wildfire risk (1 is highest) and 4,448 by building count (1 is largest). Within Ohio alone, it ranks 582 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Beachwood
Beachwood's moderate wildfire rating (22nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Beachwood's 91.8% 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 Beachwood's figures come from
The methodology guide shows exactly how USFS turned 3,776 counted buildings into the percentiles shown above for Beachwood. The exposure-zones guide covers what Beachwood's dominant minimal exposure actually means, with real examples from across the dataset.