WildfireRiskFinder

Macon, NC

How exposed is Macon to wildfire?

Elevated
43rdpercentile nationally

Macon's 109 buildings earn a 43rd-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 Macon at the 44th percentile, close to its 43rd-percentile risk score.

Macon's building exposure, zone by zone

109Total buildings
88.1%Direct exposure
11.9%Indirect exposure
0%Minimal exposure

USFS classifies 88.1% of Macon's buildings as Direct exposure, higher than its 11.9% Indirect share and far above its 0% Minimal share — a profile where 96 structures sit close enough to vegetation that lot clearing matters most.

Where Macon ranks

Macon's 43rd national percentile looks worse in isolation than its 21st ranking inside North Carolina does — this place is on the milder end for its own state, by 22 points. Among the 31,521 US communities USFS scores, Macon ranks 18,032 for wildfire risk (1 is highest) and 28,666 by building count (1 is largest). Within North Carolina alone, it ranks 609 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.

Macon and the insurance market

Macon's elevated wildfire rating (43rd 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 Macon

Because Direct exposure dominates in Macon (88.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Macon's figures come from

Macon's 43rd-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 Macon's dominant direct exposure actually means, with real examples from across the dataset.