East Greenville, PA
East Greenville wildfire risk explained
USFS's Wildfire Risk to Communities model puts East Greenville at the 16th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 731 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, East Greenville's burn probability — fire likelihood with no building count factored in — sits at the 15th percentile nationally.
East Greenville's building exposure, zone by zone
USFS puts 88.1% of East Greenville's 731 buildings in the Indirect exposure zone, versus 11.9% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where East Greenville ranks
East Greenville's risk sits at a similar level relative to Pennsylvania (16th percentile statewide) as it does nationally (16th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, East Greenville ranks 26,515 for wildfire risk (1 is highest) and 14,325 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,675 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
East Greenville and the insurance market
East Greenville's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With ember exposure the dominant pattern in East Greenville (88.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where East Greenville's figures come from
Every one of the two percentiles behind East Greenville's 26,515-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what East Greenville's dominant indirect exposure actually means, with real examples from across the dataset.