Union Mill, VA
Union Mill, VA's wildfire risk, in USFS's own numbers
Union Mill sits at the 32nd 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 2,232 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Union Mill at the 33rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Union Mill's buildings actually sit
Direct exposure dominates in Union Mill: 80.4% of its 2,232 buildings, versus 0% Indirect and 19.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Union Mill ranks
Union Mill scores 32nd nationally and 22nd within 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 Mill ranks 21,321 for wildfire risk (1 is highest) and 6,858 by building count (1 is largest). Within Virginia alone, it ranks 530 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Union Mill and the insurance market
Union Mill's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Union Mill's 80.4% 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 Union Mill's figures come from
Every one of the two percentiles behind Union Mill's 21,321-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Union Mill's dominant direct exposure actually means, with real examples from across the dataset.