Winder, GA
Winder wildfire risk explained
USFS's Wildfire Risk to Communities model puts Winder at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 6,609 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Winder's burn probability — fire likelihood with no building count factored in — sits at the 56th percentile nationally.
Where Winder's buildings actually sit
USFS puts 57.5% of Winder's 6,609 buildings in the Indirect exposure zone, versus 33.1% Direct and 9.4% Minimal — a place where the fire doesn't need to reach the structure directly for embers to. At 6,609 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Winder compares
Inside Georgia, Winder sits at just the 9th percentile even though it scores 53rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Winder ranks 14,967 for wildfire risk (1 is highest) and 2,622 by building count (1 is largest). Within Georgia alone, it ranks 612 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Winder and the insurance market
Winder's elevated rating (53rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Winder's 57.5% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Winder's figures come from
The methodology guide shows exactly how USFS turned 6,609 counted buildings into the percentiles shown above for Winder. The exposure-zones guide covers what Winder's dominant indirect exposure actually means, with real examples from across the dataset.