Lindale, GA
How exposed is Lindale to wildfire?
Lindale sits at the 78th 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 2,151 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lindale's burn probability — fire likelihood with no building count factored in — sits at the 81st percentile nationally.
Lindale's building exposure, zone by zone
2,151 buildings are counted in Lindale, and 50.3% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Lindale ranks
Lindale scores 78th nationally and 89th 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, Lindale ranks 6,869 for wildfire risk (1 is highest) and 7,068 by building count (1 is largest). Within Georgia alone, it ranks 77 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Lindale and the insurance market
At the 78th percentile nationally, Lindale carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 50.3% of Lindale in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Lindale's figures come from
Every one of the two percentiles behind Lindale's 6,869-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lindale's dominant direct exposure actually means, with real examples from across the dataset.