Naval Academy, MD
How exposed is Naval Academy to wildfire?
Naval Academy's 284 buildings earn a 23rd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Naval Academy's burn probability — fire likelihood with no building count factored in — sits at the 23rd percentile nationally.
What "at risk" means for the buildings here
Most of Naval Academy's buildings (83.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Naval Academy ranks
Naval Academy's risk sits at a similar level relative to Maryland (33rd percentile statewide) as it does nationally (23rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Naval Academy ranks 24,174 for wildfire risk (1 is highest) and 22,058 by building count (1 is largest). Within Maryland alone, it ranks 352 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Naval Academy and the insurance market
Naval Academy's moderate rating (23rd 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 Naval Academy
Because 83.1% of Naval Academy's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Naval Academy's figures come from
Naval Academy's 23rd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Naval Academy's dominant indirect exposure actually means, with real examples from across the dataset.