Addyston, OH
Addyston, OH's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Addyston lands at the 14th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 493 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Addyston at the 16th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Addyston's building exposure, zone by zone
52.7% of Addyston's 493 buildings sit in USFS's Direct exposure zone, roughly 260 structures close enough to burnable vegetation for flame contact, not just embers — 47.3% fall in the Indirect, ember-only zone and 0% are Minimal.
Addyston against the rest of the country
Compare Addyston's two percentiles: 41st within Ohio, only 14th nationally — a gap of 27 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Addyston ranks 27,114 for wildfire risk (1 is highest) and 17,482 by building count (1 is largest). Within Ohio alone, it ranks 747 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Addyston and the insurance market
Addyston's low wildfire rating (14th 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.
What would actually reduce this score
Addyston's 52.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Addyston's figures come from
The methodology guide shows exactly how USFS turned 493 counted buildings into the percentiles shown above for Addyston. The exposure-zones guide covers what Addyston's dominant direct exposure actually means, with real examples from across the dataset.