Gettysburg, OH
Gettysburg, OH's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Gettysburg at the 4th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 315 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Gettysburg at the 4th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Gettysburg's buildings actually sit
82.5% of Gettysburg's 315 buildings sit in USFS's Minimal exposure zone, with only 17.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Gettysburg against the rest of the country
Gettysburg's 23rd-percentile standing inside Ohio outpaces its 4th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Gettysburg ranks 30,144 for wildfire risk (1 is highest) and 21,236 by building count (1 is largest). Within Ohio alone, it ranks 975 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Gettysburg
Gettysburg's low rating (4th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Gettysburg
Gettysburg's 82.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Gettysburg's figures come from
Every one of the two percentiles behind Gettysburg's 30,144-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gettysburg's dominant minimal exposure actually means, with real examples from across the dataset.