Mineralwells, WV
Mineralwells wildfire risk explained
USFS's Wildfire Risk to Communities model puts Mineralwells at the 38th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 911 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mineralwells's burn probability — fire likelihood with no building count factored in — sits at the 40th percentile nationally.
What "at risk" means for the buildings here
Indirect exposure is dominant in Mineralwells (51.1% of 911 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 48.9% sit in the Direct zone.
Mineralwells against the rest of the country
Mineralwells ranks lower within West Virginia (10th percentile statewide) than its 38th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Mineralwells ranks 19,588 for wildfire risk (1 is highest) and 12,632 by building count (1 is largest). Within West Virginia alone, it ranks 387 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
What this risk score means for insurance
At the 38th national percentile, Mineralwells rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Mineralwells (51.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Mineralwells's figures come from
Every one of the two percentiles behind Mineralwells's 19,588-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mineralwells's dominant indirect exposure actually means, with real examples from across the dataset.