Ickesburg, PA
Ickesburg wildfire risk explained
Out of every US place USFS scores, Ickesburg lands at the 51st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 224 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Ickesburg's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Ickesburg: 50.4% of its 224 buildings, versus 49.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Ickesburg ranks
Within Pennsylvania, Ickesburg ranks higher (84th percentile) than it does nationally (51st) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Ickesburg ranks 15,482 for wildfire risk (1 is highest) and 23,994 by building count (1 is largest). Within Pennsylvania alone, it ranks 330 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
Ickesburg's elevated wildfire rating (51st 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.
Lowering exposure, not just insuring around it
Ickesburg's 50.4% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Ickesburg's figures come from
Every one of the two percentiles behind Ickesburg's 15,482-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Ickesburg's dominant direct exposure actually means, with real examples from across the dataset.