WildfireRiskFinder

Coatesville, PA

Coatesville wildfire risk explained

Low
15thpercentile nationally

USFS's Wildfire Risk to Communities model puts Coatesville at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 2,360 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Coatesville's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.

Coatesville's building exposure, zone by zone

2,360Total buildings
10.5%Direct exposure
64.5%Indirect exposure
25%Minimal exposure

2,360 buildings are counted in Coatesville, and 64.5% of them are Indirect exposure — ember-driven risk rather than the 10.5% in Direct exposure or the 25% rated Minimal.

Where Coatesville ranks

Coatesville's risk sits at a similar level relative to Pennsylvania (15th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Coatesville ranks 26,673 for wildfire risk (1 is highest) and 6,589 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,689 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Coatesville and the insurance market

At the 15th national percentile, Coatesville rates low 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 Coatesville

Because 64.5% of Coatesville's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Coatesville's figures come from

The methodology guide shows exactly how USFS turned 2,360 counted buildings into the percentiles shown above for Coatesville. The exposure-zones guide covers what Coatesville's dominant indirect exposure actually means, with real examples from across the dataset.