Osceola Mills, PA
Osceola Mills wildfire risk explained
USFS's Wildfire Risk to Communities model puts Osceola Mills at the 50th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 606 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 Osceola Mills at the 50th percentile, close to its 50th-percentile risk score.
Osceola Mills's building exposure, zone by zone
606 buildings are counted in Osceola Mills, and 97.4% of them are Indirect exposure — ember-driven risk rather than the 2.6% in Direct exposure or the 0% rated Minimal.
Osceola Mills against the rest of the country
Osceola Mills's 82nd-percentile standing inside Pennsylvania outpaces its 50th 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, Osceola Mills ranks 15,737 for wildfire risk (1 is highest) and 15,752 by building count (1 is largest). Within Pennsylvania alone, it ranks 363 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Osceola Mills
Osceola Mills's elevated rating (50th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Osceola Mills's 97.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Osceola Mills's figures come from
Osceola Mills's 50th-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 Osceola Mills's dominant indirect exposure actually means, with real examples from across the dataset.