Sully Square, VA
Sully Square wildfire risk explained
USFS's Wildfire Risk to Communities model puts Sully Square at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 137 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Sully Square's burn probability — fire likelihood with no building count factored in — sits at the 9th percentile nationally.
Where Sully Square's buildings actually sit
Only 6.6% of Sully Square's 137 buildings carry Direct exposure and 0% carry Indirect; the remaining 93.4% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Sully Square against the rest of the country
There's little gap between Sully Square's 9th national percentile and its 1st percentile inside Virginia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Sully Square ranks 28,792 for wildfire risk (1 is highest) and 27,423 by building count (1 is largest). Within Virginia alone, it ranks 675 of 681 places by risk. See the full county-by-county picture for Virginia on its state page.
Shopping for coverage in Sully Square
At the 9th national percentile, Sully Square rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Sully Square
With 93.4% of buildings rated Minimal exposure, Sully Square gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Sully Square's figures come from
Every one of the two percentiles behind Sully Square's 28,792-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sully Square's dominant minimal exposure actually means, with real examples from across the dataset.