Siglerville, PA
How exposed is Siglerville to wildfire?
USFS's Wildfire Risk to Communities model puts Siglerville at the 52nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 88 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Siglerville's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
Where Siglerville's buildings actually sit
Direct exposure dominates in Siglerville: 95.5% of its 88 buildings, versus 4.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Siglerville compares
Within Pennsylvania, Siglerville 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, Siglerville ranks 15,237 for wildfire risk (1 is highest) and 29,594 by building count (1 is largest). Within Pennsylvania alone, it ranks 295 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Siglerville
Siglerville's elevated wildfire rating (52nd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
With 95.5% of Siglerville 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 Siglerville's figures come from
The methodology guide shows exactly how USFS turned 88 counted buildings into the percentiles shown above for Siglerville. The exposure-zones guide covers what Siglerville's dominant direct exposure actually means, with real examples from across the dataset.