Union, WV
Union, WV's wildfire risk, in USFS's own numbers
Union sits at the 66th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 380 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Union at the 68th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Union's buildings actually sit
84.2% of Union's 380 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 15.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Union ranks
Union scores 66th nationally and 58th within West 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, Union ranks 10,890 for wildfire risk (1 is highest) and 19,661 by building count (1 is largest). Within West Virginia alone, it ranks 179 of 429 places by risk. See the full county-by-county picture for West Virginia on its state page.
Shopping for coverage in Union
At the 66th percentile nationally, Union carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Because 84.2% of Union's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Union's figures come from
Union's 66th-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 Union's dominant indirect exposure actually means, with real examples from across the dataset.