Buckeystown, MD
How exposed is Buckeystown to wildfire?
USFS scores Buckeystown at the 10th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 430 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Buckeystown's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
What "at risk" means for the buildings here
430 buildings are counted in Buckeystown, and 66.7% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 33.3% rated Minimal.
Buckeystown against the rest of the country
There's little gap between Buckeystown's 10th national percentile and its 5th percentile inside Maryland, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Buckeystown ranks 28,372 for wildfire risk (1 is highest) and 18,647 by building count (1 is largest). Within Maryland alone, it ranks 502 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Buckeystown and the insurance market
At the 10th national percentile, Buckeystown rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Buckeystown's 66.7% 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 Buckeystown's figures come from
Every one of the two percentiles behind Buckeystown's 28,372-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Buckeystown's dominant direct exposure actually means, with real examples from across the dataset.