Chester Heights, PA
Chester Heights, PA's wildfire risk, in USFS's own numbers
Chester Heights's 579 buildings earn a 22nd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Chester Heights's burn probability — fire likelihood with no building count factored in — sits at the 20th percentile nationally.
Chester Heights's building exposure, zone by zone
Of Chester Heights's 579 counted buildings, 78.9% carry Direct exposure and only 4.7% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Chester Heights compares
There's little gap between Chester Heights's 22nd national percentile and its 24th percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Chester Heights ranks 24,750 for wildfire risk (1 is highest) and 16,119 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,519 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Chester Heights
Chester Heights's moderate wildfire rating (22nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Because Direct exposure dominates in Chester Heights (78.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Chester Heights's figures come from
Every one of the two percentiles behind Chester Heights's 24,750-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Chester Heights's dominant direct exposure actually means, with real examples from across the dataset.