Nokesville, VA
Nokesville, VA's wildfire risk, in USFS's own numbers
Nokesville sits at the 23rd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,320 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Nokesville at the 23rd percentile, close to its 23rd-percentile risk score.
Where Nokesville's buildings actually sit
Of Nokesville's 1,320 counted buildings, 89.6% 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.
Nokesville against the rest of the country
There's little gap between Nokesville's 23rd national percentile and its 13th percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Nokesville ranks 24,346 for wildfire risk (1 is highest) and 9,974 by building count (1 is largest). Within Virginia alone, it ranks 591 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Nokesville and the insurance market
At the 23rd national percentile, Nokesville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Nokesville (89.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Nokesville's figures come from
Nokesville's 23rd-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 Nokesville's dominant direct exposure actually means, with real examples from across the dataset.