Draper, VA
How exposed is Draper to wildfire?
Out of every US place USFS scores, Draper lands at the 63rd percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 239 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Draper at the 65th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Of Draper's 239 counted buildings, 94.6% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Draper ranks
Draper scores 63rd nationally and 71st within Virginia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Draper ranks 11,739 for wildfire risk (1 is highest) and 23,512 by building count (1 is largest). Within Virginia alone, it ranks 196 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Draper and the insurance market
Draper's 63rd-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.
What would actually reduce this score
Because Direct exposure dominates in Draper (94.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Draper's figures come from
Every one of the two percentiles behind Draper's 11,739-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Draper's dominant direct exposure actually means, with real examples from across the dataset.