Harlansburg, PA
How exposed is Harlansburg to wildfire?
Out of every US place USFS scores, Harlansburg lands at the 38th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 266 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Harlansburg's burn probability — fire likelihood with no building count factored in — sits at the 38th percentile nationally.
Where Harlansburg's buildings actually sit
266 buildings are counted in Harlansburg, and 78.2% 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% rated Minimal.
How Harlansburg compares
Harlansburg'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, Harlansburg ranks 19,616 for wildfire risk (1 is highest) and 22,649 by building count (1 is largest). Within Pennsylvania alone, it ranks 864 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Harlansburg
At the 38th national percentile, Harlansburg rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Harlansburg
With 78.2% of Harlansburg in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Harlansburg's figures come from
Harlansburg's 38th-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 Harlansburg's dominant direct exposure actually means, with real examples from across the dataset.