WildfireRiskFinder

Glenmont, MD

How exposed is Glenmont to wildfire?

Low
10thpercentile nationally

USFS's Wildfire Risk to Communities model puts Glenmont at the 10th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 3,651 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Glenmont's burn probability — fire likelihood with no building count factored in — sits at the 10th percentile nationally.

What "at risk" means for the buildings here

3,651Total buildings
33.2%Direct exposure
24.8%Indirect exposure
42%Minimal exposure

42% of Glenmont's 3,651 buildings sit in USFS's Minimal exposure zone, with only 33.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Glenmont compares

Glenmont scores 10th nationally and 5th within Maryland — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Glenmont ranks 28,275 for wildfire risk (1 is highest) and 4,584 by building count (1 is largest). Within Maryland alone, it ranks 500 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.

What this risk score means for insurance

Glenmont's low rating (10th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Glenmont's 42% 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 Glenmont's figures come from

Every one of the two percentiles behind Glenmont's 28,275-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Glenmont's dominant minimal exposure actually means, with real examples from across the dataset.