Nunez, GA
How exposed is Nunez to wildfire?
USFS scores Nunez at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 101 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nunez at the 67th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Nunez: 67.3% of its 101 buildings, versus 32.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Nunez against the rest of the country
Nunez ranks lower within Georgia (50th 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, Nunez ranks 10,584 for wildfire risk (1 is highest) and 28,986 by building count (1 is largest). Within Georgia alone, it ranks 332 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Nunez
Nunez's 66th-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.
Lowering exposure, not just insuring around it
Nunez's 67.3% 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 Nunez's figures come from
Nunez's 66th-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 Nunez's dominant direct exposure actually means, with real examples from across the dataset.