Smoketown, PA
Smoketown wildfire risk explained
Out of every US place USFS scores, Smoketown lands at the 3rd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 336 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Smoketown's burn probability — fire likelihood with no building count factored in — sits at the 3rd percentile nationally.
Smoketown's building exposure, zone by zone
Most of Smoketown's buildings (79.5% of 336) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Smoketown ranks
Smoketown's risk sits at a similar level relative to Pennsylvania (1st percentile statewide) as it does nationally (3rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Smoketown ranks 30,717 for wildfire risk (1 is highest) and 20,686 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,981 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
Smoketown's low wildfire rating (3rd 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.
Hardening a home in Smoketown
Even with 79.5% of Smoketown outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Smoketown's figures come from
Every one of the two percentiles behind Smoketown's 30,717-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Smoketown's dominant minimal exposure actually means, with real examples from across the dataset.