West Chester, PA
West Chester, PA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts West Chester at the 12th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 3,364 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts West Chester at the 12th percentile, close to its 12th-percentile risk score.
Where West Chester's buildings actually sit
USFS classifies 75.6% of West Chester's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 11.5% Direct and 12.9% Indirect — a landscape-level risk rather than a building-by-building one.
How West Chester compares
There's little gap between West Chester's 12th national percentile and its 11th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, West Chester ranks 27,686 for wildfire risk (1 is highest) and 4,966 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,781 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 12th national percentile, West Chester 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 West Chester
West Chester's 75.6% 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 West Chester's figures come from
Every one of the two percentiles behind West Chester's 27,686-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what West Chester's dominant minimal exposure actually means, with real examples from across the dataset.