Mariemont, OH
Mariemont, OH's wildfire risk, in USFS's own numbers
Mariemont sits at the 19th 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 1,373 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mariemont at the 21st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
55.7% of Mariemont's 1,373 buildings sit in USFS's Direct exposure zone, roughly 765 structures close enough to burnable vegetation for flame contact, not just embers — 43% fall in the Indirect, ember-only zone and 1.3% are Minimal.
Where Mariemont ranks
Within Ohio, Mariemont ranks higher (49th percentile) than it does nationally (19th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mariemont ranks 25,537 for wildfire risk (1 is highest) and 9,741 by building count (1 is largest). Within Ohio alone, it ranks 640 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Mariemont
Mariemont's low rating (19th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Mariemont's 55.7% 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 Mariemont's figures come from
Mariemont's 19th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Mariemont's dominant direct exposure actually means, with real examples from across the dataset.