Brock Hall, MD
Brock Hall, MD's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Brock Hall at the 36th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 4,350 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Brock Hall's burn probability — fire likelihood with no building count factored in — sits at the 36th percentile nationally.
Brock Hall's building exposure, zone by zone
Of Brock Hall's 4,350 counted buildings, 51.5% 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 Brock Hall ranks
Brock Hall's 55th-percentile standing inside Maryland outpaces its 36th 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, Brock Hall ranks 20,041 for wildfire risk (1 is highest) and 3,933 by building count (1 is largest). Within Maryland alone, it ranks 237 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Brock Hall and the insurance market
Brock Hall's moderate wildfire rating (36th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Brock Hall's 51.5% 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 Brock Hall's figures come from
Brock Hall's 36th-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 Brock Hall's dominant direct exposure actually means, with real examples from across the dataset.