Four Corners, MD
How exposed is Four Corners to wildfire?
USFS's Wildfire Risk to Communities model puts Four Corners at the 12th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 2,843 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Four Corners's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.
Four Corners's building exposure, zone by zone
Most of Four Corners's buildings (56.2%) 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.
Four Corners against the rest of the country
There's little gap between Four Corners's 12th national percentile and its 8th percentile inside Maryland, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Four Corners ranks 27,769 for wildfire risk (1 is highest) and 5,672 by building count (1 is largest). Within Maryland alone, it ranks 484 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shopping for coverage in Four Corners
Four Corners's low rating (12th 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
With ember exposure the dominant pattern in Four Corners (56.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Four Corners's figures come from
Four Corners's 12th-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 Four Corners's dominant indirect exposure actually means, with real examples from across the dataset.