Tazewell, GA
How exposed is Tazewell to wildfire?
USFS scores Tazewell at the 67th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 137 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Tazewell's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Tazewell: 100% of its 137 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Tazewell against the rest of the country
Tazewell's risk sits at a similar level relative to Georgia (55th percentile statewide) as it does nationally (67th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Tazewell ranks 10,268 for wildfire risk (1 is highest) and 27,393 by building count (1 is largest). Within Georgia alone, it ranks 300 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Tazewell and the insurance market
Tazewell's 67th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Tazewell
Tazewell's 100% 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 Tazewell's figures come from
The methodology guide shows exactly how USFS turned 137 counted buildings into the percentiles shown above for Tazewell. The exposure-zones guide covers what Tazewell's dominant direct exposure actually means, with real examples from across the dataset.