Dumb Hundred, PA
Dumb Hundred, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Dumb Hundred lands at the 37th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 66 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Dumb Hundred at the 36th percentile, close to its 37th-percentile risk score.
Dumb Hundred's building exposure, zone by zone
66 buildings are counted in Dumb Hundred, and 65.2% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Dumb Hundred compares
Compare Dumb Hundred's two percentiles: 55th within Pennsylvania, only 37th nationally — a gap of 18 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Dumb Hundred ranks 19,806 for wildfire risk (1 is highest) and 30,445 by building count (1 is largest). Within Pennsylvania alone, it ranks 890 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Dumb Hundred and the insurance market
At the 37th national percentile, Dumb Hundred rates moderate 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
Dumb Hundred's 65.2% 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 Dumb Hundred's figures come from
The methodology guide shows exactly how USFS turned 66 counted buildings into the percentiles shown above for Dumb Hundred. The exposure-zones guide covers what Dumb Hundred's dominant direct exposure actually means, with real examples from across the dataset.