Langeloth, PA
How exposed is Langeloth to wildfire?
USFS's Wildfire Risk to Communities model puts Langeloth at the 38th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 419 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Langeloth's burn probability — fire likelihood with no building count factored in — sits at the 40th percentile nationally.
Langeloth's building exposure, zone by zone
55.1% of Langeloth's 419 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 44.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Langeloth compares
Langeloth's 57th-percentile standing inside Pennsylvania outpaces its 38th 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, Langeloth ranks 19,584 for wildfire risk (1 is highest) and 18,845 by building count (1 is largest). Within Pennsylvania alone, it ranks 858 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Langeloth and the insurance market
At the 38th national percentile, Langeloth rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because 55.1% of Langeloth's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Langeloth's figures come from
Every one of the two percentiles behind Langeloth's 19,584-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Langeloth's dominant indirect exposure actually means, with real examples from across the dataset.