Stevensville, MD
Stevensville wildfire risk explained
Out of every US place USFS scores, Stevensville lands at the 36th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 3,164 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Stevensville's burn probability — fire likelihood with no building count factored in — sits at the 33rd percentile nationally.
What "at risk" means for the buildings here
54.8% of Stevensville's 3,164 buildings sit in USFS's Minimal exposure zone, with only 45.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Stevensville ranks
Within Maryland, Stevensville ranks higher (54th percentile) than it does nationally (36th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Stevensville ranks 20,261 for wildfire risk (1 is highest) and 5,211 by building count (1 is largest). Within Maryland alone, it ranks 242 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Stevensville and the insurance market
Stevensville's moderate rating (36th 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
With 54.8% of buildings rated Minimal exposure, Stevensville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Stevensville's figures come from
Every one of the two percentiles behind Stevensville's 20,261-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Stevensville's dominant minimal exposure actually means, with real examples from across the dataset.