Hinkletown, PA
How exposed is Hinkletown to wildfire?
USFS's Wildfire Risk to Communities model puts Hinkletown at the 1st national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 240 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hinkletown's burn probability — fire likelihood with no building count factored in — sits at the 1st percentile nationally.
Where Hinkletown's buildings actually sit
Only 14.2% of Hinkletown's 240 buildings carry Direct exposure and 0% carry Indirect; the remaining 85.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Hinkletown compares
Hinkletown's risk sits at a similar level relative to Pennsylvania (0th percentile statewide) as it does nationally (1st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hinkletown ranks 31,158 for wildfire risk (1 is highest) and 23,480 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,990 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Hinkletown and the insurance market
At the 1st national percentile, Hinkletown rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Hinkletown
Even with 85.8% of Hinkletown 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 Hinkletown's figures come from
Every one of the two percentiles behind Hinkletown's 31,158-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hinkletown's dominant minimal exposure actually means, with real examples from across the dataset.