Vinings, GA
Vinings, GA's wildfire risk, in USFS's own numbers
USFS scores Vinings at the 53rd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 2,022 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Vinings at the 56th national percentile — 3 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
USFS classifies 50.5% of Vinings's buildings as Direct exposure, higher than its 4.4% Indirect share and far above its 45.2% Minimal share — a profile where 1,021 structures sit close enough to vegetation that lot clearing matters most.
How Vinings compares
Vinings ranks lower within Georgia (9th percentile statewide) than its 53rd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Vinings ranks 14,966 for wildfire risk (1 is highest) and 7,409 by building count (1 is largest). Within Georgia alone, it ranks 611 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Vinings and the insurance market
Vinings's elevated wildfire rating (53rd 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.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Vinings (50.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Vinings's figures come from
Every one of the two percentiles behind Vinings's 14,966-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Vinings's dominant direct exposure actually means, with real examples from across the dataset.