Carmichaels, PA
How exposed is Carmichaels to wildfire?
Out of every US place USFS scores, Carmichaels lands at the 39th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 282 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Carmichaels's burn probability — fire likelihood with no building count factored in — sits at the 42nd percentile nationally.
Carmichaels's building exposure, zone by zone
Indirect exposure is dominant in Carmichaels (91.8% of 282 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 8.2% sit in the Direct zone.
Where Carmichaels ranks
Within Pennsylvania, Carmichaels ranks higher (60th percentile) than it does nationally (39th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Carmichaels ranks 19,354 for wildfire risk (1 is highest) and 22,133 by building count (1 is largest). Within Pennsylvania alone, it ranks 804 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Carmichaels
Carmichaels's moderate rating (39th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Carmichaels
Because 91.8% of Carmichaels'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 Carmichaels's figures come from
Every one of the two percentiles behind Carmichaels's 19,354-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Carmichaels's dominant indirect exposure actually means, with real examples from across the dataset.