Hallwood, VA
How exposed is Hallwood to wildfire?
USFS's Wildfire Risk to Communities model puts Hallwood at the 64th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 155 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Hallwood at the 63rd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Hallwood's buildings actually sit
Indirect exposure is dominant in Hallwood (54.8% of 155 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 45.2% sit in the Direct zone.
Where Hallwood ranks
There's little gap between Hallwood's 64th national percentile and its 74th percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Hallwood ranks 11,329 for wildfire risk (1 is highest) and 26,683 by building count (1 is largest). Within Virginia alone, it ranks 175 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
What this risk score means for insurance
Hallwood's 64th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Hallwood (54.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Hallwood's figures come from
The methodology guide shows exactly how USFS turned 155 counted buildings into the percentiles shown above for Hallwood. The exposure-zones guide covers what Hallwood's dominant indirect exposure actually means, with real examples from across the dataset.