Sharon Hill, PA
Sharon Hill, PA's wildfire risk, in USFS's own numbers
Sharon Hill's 1,215 buildings earn a 40th-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Sharon Hill at the 39th percentile, close to its 40th-percentile risk score.
Sharon Hill's building exposure, zone by zone
Most of Sharon Hill's buildings (95.4% of 1,215) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Sharon Hill compares
Within Pennsylvania, Sharon Hill ranks higher (63rd percentile) than it does nationally (40th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Sharon Hill ranks 18,922 for wildfire risk (1 is highest) and 10,564 by building count (1 is largest). Within Pennsylvania alone, it ranks 746 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
Sharon Hill's moderate wildfire rating (40th 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
Even with 95.4% of Sharon Hill outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Sharon Hill's figures come from
Sharon Hill's 40th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Sharon Hill's dominant minimal exposure actually means, with real examples from across the dataset.