Meadville, PA
How exposed is Meadville to wildfire?
Out of every US place USFS scores, Meadville lands at the 32nd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 4,828 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Meadville at the 33rd percentile, close to its 32nd-percentile risk score.
Meadville's building exposure, zone by zone
Indirect exposure is dominant in Meadville (85.7% of 4,828 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 14.3% sit in the Direct zone.
Where Meadville ranks
Meadville's risk sits at a similar level relative to Pennsylvania (42nd percentile statewide) as it does nationally (32nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Meadville ranks 21,473 for wildfire risk (1 is highest) and 3,537 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,146 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Meadville
At the 32nd national percentile, Meadville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Meadville
Meadville's 85.7% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Meadville's figures come from
Meadville's 32nd-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 Meadville's dominant indirect exposure actually means, with real examples from across the dataset.