Wenona, GA
How exposed is Wenona to wildfire?
Wenona sits at the 58th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 188 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wenona at the 57th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Wenona's buildings actually sit
83% of Wenona's 188 buildings sit in USFS's Direct exposure zone, roughly 156 structures close enough to burnable vegetation for flame contact, not just embers — 3.2% fall in the Indirect, ember-only zone and 13.8% are Minimal.
Where Wenona ranks
Wenona ranks lower within Georgia (16th percentile statewide) than its 58th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Wenona ranks 13,137 for wildfire risk (1 is highest) and 25,310 by building count (1 is largest). Within Georgia alone, it ranks 564 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Wenona
Wenona's elevated wildfire rating (58th 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 Wenona
Wenona's 83% 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 Wenona's figures come from
Every one of the two percentiles behind Wenona's 13,137-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wenona's dominant direct exposure actually means, with real examples from across the dataset.