McKeansburg, PA
How exposed is McKeansburg to wildfire?
McKeansburg sits at the 52nd percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 121 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, McKeansburg's burn probability — fire likelihood with no building count factored in — sits at the 52nd percentile nationally.
Where McKeansburg's buildings actually sit
121 buildings are counted in McKeansburg, and 55.4% of them are Indirect exposure — ember-driven risk rather than the 44.6% in Direct exposure or the 0% rated Minimal.
McKeansburg against the rest of the country
Within Pennsylvania, McKeansburg ranks higher (85th percentile) than it does nationally (52nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, McKeansburg ranks 15,235 for wildfire risk (1 is highest) and 28,127 by building count (1 is largest). Within Pennsylvania alone, it ranks 293 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
At the 52nd national percentile, McKeansburg rates elevated 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 55.4% of McKeansburg'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 McKeansburg's figures come from
McKeansburg's 52nd-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 McKeansburg's dominant indirect exposure actually means, with real examples from across the dataset.