Eddystone, PA
How exposed is Eddystone to wildfire?
USFS's Wildfire Risk to Communities model puts Eddystone at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 732 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Eddystone at the 51st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Eddystone's buildings actually sit
Only 0.3% of Eddystone's 732 buildings carry Direct exposure and 0% carry Indirect; the remaining 99.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Eddystone ranks
Eddystone's 87th-percentile standing inside Pennsylvania outpaces its 53rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Eddystone ranks 14,981 for wildfire risk (1 is highest) and 14,310 by building count (1 is largest). Within Pennsylvania alone, it ranks 263 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Eddystone
At the 53rd national percentile, Eddystone rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Eddystone's 99.7% 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 Eddystone's figures come from
Every one of the two percentiles behind Eddystone's 14,981-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Eddystone's dominant minimal exposure actually means, with real examples from across the dataset.