Valley Grove, WV
How exposed is Valley Grove to wildfire?
USFS's Wildfire Risk to Communities model puts Valley Grove at the 41st national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 203 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Valley Grove at the 42nd percentile, close to its 41st-percentile risk score.
Valley Grove's building exposure, zone by zone
USFS classifies 98.5% of Valley Grove's buildings as Direct exposure, higher than its 1.5% Indirect share and far above its 0% Minimal share — a profile where 200 structures sit close enough to vegetation that lot clearing matters most.
How Valley Grove compares
Valley Grove ranks lower within West Virginia (16th percentile statewide) than its 41st national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Valley Grove ranks 18,708 for wildfire risk (1 is highest) and 24,754 by building count (1 is largest). Within West Virginia alone, it ranks 359 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Valley Grove
At the 41st national percentile, Valley Grove rates elevated 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 Valley Grove (98.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Valley Grove's figures come from
Every one of the two percentiles behind Valley Grove's 18,708-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Valley Grove's dominant direct exposure actually means, with real examples from across the dataset.