Parma, OH
How exposed is Parma to wildfire?
USFS scores Parma at the 23rd national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 41,188 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Parma at the 25th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Parma's building exposure, zone by zone
95.1% of Parma's 41,188 buildings sit in USFS's Minimal exposure zone, with only 4.9% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself. At 41,188 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Parma ranks
Within Ohio, Parma ranks higher (56th percentile) than it does nationally (23rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Parma ranks 24,207 for wildfire risk (1 is highest) and 231 by building count (1 is largest). Within Ohio alone, it ranks 564 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Parma and the insurance market
Parma's moderate rating (23rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Parma's 95.1% 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 Parma's figures come from
The methodology guide shows exactly how USFS turned 41,188 counted buildings into the percentiles shown above for Parma. The exposure-zones guide covers what Parma's dominant minimal exposure actually means, with real examples from across the dataset.