WildfireRiskFinder

Radford, VA

Radford, VA's wildfire risk, in USFS's own numbers

Elevated
58thpercentile nationally

Radford's 4,799 buildings earn a 58th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Radford at the 60th percentile, close to its 58th-percentile risk score.

What "at risk" means for the buildings here

4,799Total buildings
21.4%Direct exposure
77.8%Indirect exposure
0.9%Minimal exposure

77.8% of Radford's 4,799 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 21.4% Direct and 0.9% Minimal. Vent screens and roofing material matter more here than lot clearing alone.

How Radford compares

Radford's risk sits at a similar level relative to Virginia (64th percentile statewide) as it does nationally (58th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Radford ranks 13,283 for wildfire risk (1 is highest) and 3,556 by building count (1 is largest). Within Virginia alone, it ranks 246 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

At the 58th national percentile, Radford rates elevated 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 Radford

With ember exposure the dominant pattern in Radford (77.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Radford's figures come from

Radford's 58th-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 Radford's dominant indirect exposure actually means, with real examples from across the dataset.