Landover, MD
How exposed is Landover to wildfire?
USFS's Wildfire Risk to Communities model puts Landover at the 21st national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 5,730 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Landover's burn probability — fire likelihood with no building count factored in — sits at the 22nd percentile nationally.
What "at risk" means for the buildings here
Most of Landover's buildings (94.8% of 5,730) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure. At 5,730 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Landover against the rest of the country
There's little gap between Landover's 21st national percentile and its 28th percentile inside Maryland, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Landover ranks 24,930 for wildfire risk (1 is highest) and 3,019 by building count (1 is largest). Within Maryland alone, it ranks 381 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
Landover's moderate rating (21st 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
Landover's 94.8% 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 Landover's figures come from
Landover's 21st-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 Landover's dominant minimal exposure actually means, with real examples from across the dataset.