Deep Creek, VA
Deep Creek, VA's wildfire risk, in USFS's own numbers
Deep Creek's 108 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Deep Creek's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
What "at risk" means for the buildings here
Of Deep Creek's 108 counted buildings, 83.3% carry Direct exposure and only 1.9% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Deep Creek compares
Deep Creek's risk sits at a similar level relative to Virginia (91st percentile statewide) as it does nationally (77th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Deep Creek ranks 7,294 for wildfire risk (1 is highest) and 28,717 by building count (1 is largest). Within Virginia alone, it ranks 63 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Deep Creek and the insurance market
Deep Creek's 77th-percentile, 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
Deep Creek's 83.3% 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 Deep Creek's figures come from
Deep Creek's 77th-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 Deep Creek's dominant direct exposure actually means, with real examples from across the dataset.