WildfireRiskFinder

Davidson, NC

Davidson wildfire risk explained

Elevated
51stpercentile nationally

Davidson's 4,721 buildings earn a 51st-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.)

Separately from the risk score above, Davidson's burn probability — fire likelihood with no building count factored in — sits at the 54th percentile nationally.

Davidson's building exposure, zone by zone

4,721Total buildings
43.7%Direct exposure
54.3%Indirect exposure
2%Minimal exposure

Indirect exposure is dominant in Davidson (54.3% of 4,721 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 43.7% sit in the Direct zone.

Davidson against the rest of the country

Davidson scores 51st nationally and 41st within North Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Davidson ranks 15,449 for wildfire risk (1 is highest) and 3,613 by building count (1 is largest). Within North Carolina alone, it ranks 457 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.

Davidson and the insurance market

Davidson's elevated wildfire rating (51st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.

Hardening a home in Davidson

With ember exposure the dominant pattern in Davidson (54.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Davidson's figures come from

The methodology guide shows exactly how USFS turned 4,721 counted buildings into the percentiles shown above for Davidson. The exposure-zones guide covers what Davidson's dominant indirect exposure actually means, with real examples from across the dataset.