Pocono Springs, PA
How exposed is Pocono Springs to wildfire?
USFS's Wildfire Risk to Communities model puts Pocono Springs at the 43rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 743 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Pocono Springs's burn probability — fire likelihood with no building count factored in — sits at the 45th percentile nationally.
What "at risk" means for the buildings here
743 buildings are counted in Pocono Springs, and 99.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0.1% rated Minimal.
Where Pocono Springs ranks
Pocono Springs's 70th-percentile standing inside Pennsylvania outpaces its 43rd 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, Pocono Springs ranks 17,854 for wildfire risk (1 is highest) and 14,204 by building count (1 is largest). Within Pennsylvania alone, it ranks 607 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
Pocono Springs's elevated rating (43rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Pocono Springs
Because Direct exposure dominates in Pocono Springs (99.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Pocono Springs's figures come from
Every one of the two percentiles behind Pocono Springs's 17,854-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pocono Springs's dominant direct exposure actually means, with real examples from across the dataset.