Kennedyville, MD
Kennedyville wildfire risk explained
USFS scores Kennedyville at the 15th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 163 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kennedyville's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
What "at risk" means for the buildings here
59.5% of Kennedyville's 163 buildings sit in USFS's Minimal exposure zone, with only 40.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Kennedyville against the rest of the country
Kennedyville's risk sits at a similar level relative to Maryland (15th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Kennedyville ranks 26,661 for wildfire risk (1 is highest) and 26,285 by building count (1 is largest). Within Maryland alone, it ranks 446 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Kennedyville and the insurance market
Kennedyville's low wildfire rating (15th 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.
Hardening a home in Kennedyville
Even with 59.5% of Kennedyville outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Kennedyville's figures come from
The methodology guide shows exactly how USFS turned 163 counted buildings into the percentiles shown above for Kennedyville. The exposure-zones guide covers what Kennedyville's dominant minimal exposure actually means, with real examples from across the dataset.