Minersville, PA
How exposed is Minersville to wildfire?
USFS's Wildfire Risk to Communities model puts Minersville at the 46th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,084 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Minersville's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.
What "at risk" means for the buildings here
USFS puts 92.4% of Minersville's 1,084 buildings in the Indirect exposure zone, versus 7.6% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Minersville ranks
Within Pennsylvania, Minersville ranks higher (75th percentile) than it does nationally (46th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Minersville ranks 16,907 for wildfire risk (1 is highest) and 11,386 by building count (1 is largest). Within Pennsylvania alone, it ranks 506 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 46th national percentile, Minersville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Minersville's 92.4% 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 Minersville's figures come from
Minersville's 46th-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 Minersville's dominant indirect exposure actually means, with real examples from across the dataset.