Laurel Park, VA
Laurel Park, VA's wildfire risk, in USFS's own numbers
USFS scores Laurel Park at the 38th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 321 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Laurel Park at the 40th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Laurel Park's buildings actually sit
Of Laurel Park's 321 counted buildings, 90.7% 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.
How Laurel Park compares
Laurel Park's risk sits at a similar level relative to Virginia (30th percentile statewide) as it does nationally (38th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Laurel Park ranks 19,431 for wildfire risk (1 is highest) and 21,076 by building count (1 is largest). Within Virginia alone, it ranks 479 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Laurel Park
Laurel Park's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Laurel Park
Laurel Park's 90.7% 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 Laurel Park's figures come from
Laurel Park's 38th-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 Laurel Park's dominant direct exposure actually means, with real examples from across the dataset.