Millerton, PA
Millerton, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Millerton lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 241 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Millerton's burn probability — fire likelihood with no building count factored in — sits at the 48th percentile nationally.
Where Millerton's buildings actually sit
Direct exposure dominates in Millerton: 80.5% of its 241 buildings, versus 19.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Millerton against the rest of the country
Compare Millerton's two percentiles: 77th within Pennsylvania, only 48th nationally — a gap of 29 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Millerton ranks 16,527 for wildfire risk (1 is highest) and 23,443 by building count (1 is largest). Within Pennsylvania alone, it ranks 460 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
Millerton's elevated rating (48th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Millerton's 80.5% 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 Millerton's figures come from
Every one of the two percentiles behind Millerton's 16,527-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Millerton's dominant direct exposure actually means, with real examples from across the dataset.