West Liberty, PA
West Liberty wildfire risk explained
West Liberty sits at the 36th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 282 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, West Liberty's burn probability — fire likelihood with no building count factored in — sits at the 36th percentile nationally.
West Liberty's building exposure, zone by zone
Direct exposure dominates in West Liberty: 86.5% of its 282 buildings, versus 13.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where West Liberty ranks
West Liberty's 52nd-percentile standing inside Pennsylvania outpaces its 36th 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, West Liberty ranks 20,215 for wildfire risk (1 is highest) and 22,134 by building count (1 is largest). Within Pennsylvania alone, it ranks 954 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in West Liberty
At the 36th national percentile, West Liberty 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 Direct exposure dominates in West Liberty (86.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where West Liberty's figures come from
West Liberty's 36th-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 West Liberty's dominant direct exposure actually means, with real examples from across the dataset.