Rebecca, GA
Rebecca wildfire risk explained
USFS scores Rebecca at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 190 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rebecca's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
What "at risk" means for the buildings here
57.4% of Rebecca's 190 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 42.6% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Rebecca against the rest of the country
Rebecca's 66th national percentile looks worse in isolation than its 46th ranking inside Georgia does — this place is on the milder end for its own state, by 20 points. Among the 31,521 US communities USFS scores, Rebecca ranks 10,837 for wildfire risk (1 is highest) and 25,230 by building count (1 is largest). Within Georgia alone, it ranks 367 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Rebecca and the insurance market
Rebecca's 66th-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 Rebecca
Because 57.4% of Rebecca's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Rebecca's figures come from
Rebecca's 66th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Rebecca's dominant indirect exposure actually means, with real examples from across the dataset.