Tyaskin, MD
Tyaskin, MD's wildfire risk, in USFS's own numbers
USFS scores Tyaskin at the 92nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 216 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tyaskin at the 92nd percentile, close to its 92nd-percentile risk score.
What "at risk" means for the buildings here
216 buildings are counted in Tyaskin, and 94.9% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0.5% rated Minimal.
Where Tyaskin ranks
Tyaskin's risk sits at a similar level relative to Maryland (98th percentile statewide) as it does nationally (92nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Tyaskin ranks 2,581 for wildfire risk (1 is highest) and 24,271 by building count (1 is largest). Within Maryland alone, it ranks 13 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
Tyaskin and the insurance market
Tyaskin's 92nd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With 94.9% of Tyaskin in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Tyaskin's figures come from
The methodology guide shows exactly how USFS turned 216 counted buildings into the percentiles shown above for Tyaskin. The exposure-zones guide covers what Tyaskin's dominant direct exposure actually means, with real examples from across the dataset.