Hunterstown, PA
Hunterstown, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Hunterstown lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 337 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 Hunterstown at the 7th percentile, close to its 7th-percentile risk score.
Where Hunterstown's buildings actually sit
Of Hunterstown's 337 counted buildings, 75.1% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Hunterstown against the rest of the country
Hunterstown's risk sits at a similar level relative to Pennsylvania (4th percentile statewide) as it does nationally (7th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hunterstown ranks 29,390 for wildfire risk (1 is highest) and 20,667 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,912 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Hunterstown and the insurance market
Hunterstown's low wildfire rating (7th 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 Hunterstown
Hunterstown's 75.1% 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 Hunterstown's figures come from
The methodology guide shows exactly how USFS turned 337 counted buildings into the percentiles shown above for Hunterstown. The exposure-zones guide covers what Hunterstown's dominant direct exposure actually means, with real examples from across the dataset.