Pardeesville, PA
Pardeesville wildfire risk explained
USFS scores Pardeesville at the 52nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 276 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Pardeesville at the 51st percentile, close to its 52nd-percentile risk score.
Where Pardeesville's buildings actually sit
63.8% of Pardeesville's 276 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 36.2% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Pardeesville against the rest of the country
Compare Pardeesville's two percentiles: 85th within Pennsylvania, only 52nd nationally — a gap of 34 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Pardeesville ranks 15,265 for wildfire risk (1 is highest) and 22,336 by building count (1 is largest). Within Pennsylvania alone, it ranks 299 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Pardeesville
At the 52nd national percentile, Pardeesville 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
Pardeesville's 63.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Pardeesville's figures come from
Pardeesville'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 Pardeesville's dominant indirect exposure actually means, with real examples from across the dataset.