Coral, PA
Coral wildfire risk explained
Out of every US place USFS scores, Coral lands at the 42nd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 220 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Coral at the 42nd national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Coral's buildings actually sit
Most of Coral's buildings (93.6%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Coral against the rest of the country
Compare Coral's two percentiles: 67th within Pennsylvania, only 42nd nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Coral ranks 18,289 for wildfire risk (1 is highest) and 24,135 by building count (1 is largest). Within Pennsylvania alone, it ranks 658 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
At the 42nd national percentile, Coral rates elevated 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 Coral
With ember exposure the dominant pattern in Coral (93.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Coral's figures come from
Every one of the two percentiles behind Coral's 18,289-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Coral's dominant indirect exposure actually means, with real examples from across the dataset.