Gray (Blair), PA
How exposed is Gray (Blair) to wildfire?
Out of every US place USFS scores, Gray (Blair) lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 35 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 Gray (Blair) at the 49th percentile, close to its 50th-percentile risk score.
Where Gray (Blair)'s buildings actually sit
Direct exposure dominates in Gray (Blair): 54.3% of its 35 buildings, versus 45.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Gray (Blair) against the rest of the country
Compare Gray (Blair)'s two percentiles: 82nd within Pennsylvania, only 50th nationally — a gap of 32 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Gray (Blair) ranks 15,767 for wildfire risk (1 is highest) and 31,281 by building count (1 is largest). Within Pennsylvania alone, it ranks 366 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Gray (Blair)
At the 50th national percentile, Gray (Blair) rates elevated 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 Gray (Blair)
Gray (Blair)'s 54.3% 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 Gray (Blair)'s figures come from
Every one of the two percentiles behind Gray (Blair)'s 15,767-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gray (Blair)'s dominant direct exposure actually means, with real examples from across the dataset.