Lumber City, GA
Lumber City wildfire risk explained
USFS's Wildfire Risk to Communities model puts Lumber City at the 71st national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 715 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lumber City at the 71st percentile, close to its 71st-percentile risk score.
Where Lumber City's buildings actually sit
54.1% of Lumber City's 715 buildings sit in USFS's Direct exposure zone, roughly 387 structures close enough to burnable vegetation for flame contact, not just embers — 45.9% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Lumber City ranks
There's little gap between Lumber City's 71st national percentile and its 67th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lumber City ranks 9,224 for wildfire risk (1 is highest) and 14,512 by building count (1 is largest). Within Georgia alone, it ranks 221 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Lumber City
Lumber City's 71st-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 Lumber City
Because Direct exposure dominates in Lumber City (54.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Lumber City's figures come from
The methodology guide shows exactly how USFS turned 715 counted buildings into the percentiles shown above for Lumber City. The exposure-zones guide covers what Lumber City's dominant direct exposure actually means, with real examples from across the dataset.