Woodland, GA
Woodland, GA's wildfire risk, in USFS's own numbers
Woodland sits at the 79th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 281 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Woodland at the 81st percentile, close to its 79th-percentile risk score.
What "at risk" means for the buildings here
81.1% of Woodland's 281 buildings sit in USFS's Direct exposure zone, roughly 228 structures close enough to burnable vegetation for flame contact, not just embers — 18.9% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Woodland ranks
Woodland scores 79th nationally and 90th within Georgia — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Woodland ranks 6,654 for wildfire risk (1 is highest) and 22,147 by building count (1 is largest). Within Georgia alone, it ranks 67 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
What this risk score means for insurance
Woodland's 79th-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 Woodland
Because Direct exposure dominates in Woodland (81.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Woodland's figures come from
The methodology guide shows exactly how USFS turned 281 counted buildings into the percentiles shown above for Woodland. The exposure-zones guide covers what Woodland's dominant direct exposure actually means, with real examples from across the dataset.