WildfireRiskFinder

Metter, GA

How exposed is Metter to wildfire?

High
65thpercentile nationally

Out of every US place USFS scores, Metter lands at the 65th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 2,258 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Metter at the 65th percentile, close to its 65th-percentile risk score.

Where Metter's buildings actually sit

2,258Total buildings
50.5%Direct exposure
49.5%Indirect exposure
0%Minimal exposure

Of Metter's 2,258 counted buildings, 50.5% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Metter compares

Inside Georgia, Metter sits at just the 43rd percentile even though it scores 65th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Metter ranks 10,933 for wildfire risk (1 is highest) and 6,798 by building count (1 is largest). Within Georgia alone, it ranks 380 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.

Metter and the insurance market

Metter's high rating (65th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Hardening a home in Metter

Because Direct exposure dominates in Metter (50.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Metter's figures come from

The methodology guide shows exactly how USFS turned 2,258 counted buildings into the percentiles shown above for Metter. The exposure-zones guide covers what Metter's dominant direct exposure actually means, with real examples from across the dataset.