Shady Side, MD
How exposed is Shady Side to wildfire?
Shady Side sits at the 46th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 3,223 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Shady Side's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.
Shady Side's building exposure, zone by zone
Of Shady Side's 3,223 counted buildings, 61.1% carry Direct exposure and only 6.8% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Shady Side compares
Within Maryland, Shady Side ranks higher (65th percentile) than it does nationally (46th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Shady Side ranks 17,014 for wildfire risk (1 is highest) and 5,139 by building count (1 is largest). Within Maryland alone, it ranks 185 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Shady Side and the insurance market
Shady Side's elevated wildfire rating (46th 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.
Lowering exposure, not just insuring around it
Shady Side's 61.1% 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 Shady Side's figures come from
Every one of the two percentiles behind Shady Side's 17,014-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Shady Side's dominant direct exposure actually means, with real examples from across the dataset.