Hughesville, MD
Hughesville wildfire risk explained
Out of every US place USFS scores, Hughesville lands at the 50th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 1,335 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hughesville's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
Where Hughesville's buildings actually sit
Of Hughesville's 1,335 counted buildings, 89.9% 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.
Where Hughesville ranks
Hughesville's 70th-percentile standing inside Maryland outpaces its 50th 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, Hughesville ranks 15,725 for wildfire risk (1 is highest) and 9,908 by building count (1 is largest). Within Maryland alone, it ranks 160 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shopping for coverage in Hughesville
At the 50th national percentile, Hughesville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Hughesville's 89.9% 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 Hughesville's figures come from
Every one of the two percentiles behind Hughesville's 15,725-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hughesville's dominant direct exposure actually means, with real examples from across the dataset.