Manns Choice, PA
How exposed is Manns Choice to wildfire?
Manns Choice 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 186 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Manns Choice's burn probability — fire likelihood with no building count factored in — sits at the 51st percentile nationally.
Manns Choice's building exposure, zone by zone
60.2% of Manns Choice's 186 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 39.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Manns Choice compares
Compare Manns Choice's two percentiles: 87th 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, Manns Choice ranks 15,046 for wildfire risk (1 is highest) and 25,400 by building count (1 is largest). Within Pennsylvania alone, it ranks 268 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Manns Choice
At the 52nd national percentile, Manns Choice rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Manns Choice (60.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Manns Choice's figures come from
Manns Choice'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 Manns Choice's dominant indirect exposure actually means, with real examples from across the dataset.