WildfireRiskFinder

Leary, GA

Leary wildfire risk explained

High
66thpercentile nationally

USFS scores Leary at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 439 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Leary's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.

Leary's building exposure, zone by zone

439Total buildings
62.9%Direct exposure
37.1%Indirect exposure
0%Minimal exposure

USFS classifies 62.9% of Leary's buildings as Direct exposure, higher than its 37.1% Indirect share and far above its 0% Minimal share — a profile where 276 structures sit close enough to vegetation that lot clearing matters most.

How Leary compares

Leary ranks lower within Georgia (45th percentile statewide) than its 66th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Leary ranks 10,866 for wildfire risk (1 is highest) and 18,474 by building count (1 is largest). Within Georgia alone, it ranks 370 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.

Leary and the insurance market

Leary's high rating (66th 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.

Lowering exposure, not just insuring around it

Leary's 62.9% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Leary's figures come from

The methodology guide shows exactly how USFS turned 439 counted buildings into the percentiles shown above for Leary. The exposure-zones guide covers what Leary's dominant direct exposure actually means, with real examples from across the dataset.