Screven, GA
How exposed is Screven to wildfire?
USFS's Wildfire Risk to Communities model puts Screven at the 74th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 505 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Screven's burn probability — fire likelihood with no building count factored in — sits at the 73rd percentile nationally.
Where Screven's buildings actually sit
USFS classifies 72.1% of Screven's buildings as Direct exposure, higher than its 27.9% Indirect share and far above its 0% Minimal share — a profile where 364 structures sit close enough to vegetation that lot clearing matters most.
Screven against the rest of the country
Screven's risk sits at a similar level relative to Georgia (77th percentile statewide) as it does nationally (74th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Screven ranks 8,351 for wildfire risk (1 is highest) and 17,251 by building count (1 is largest). Within Georgia alone, it ranks 154 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
Screven's 74th-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.
What would actually reduce this score
Because Direct exposure dominates in Screven (72.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Screven's figures come from
Screven's 74th-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 Screven's dominant direct exposure actually means, with real examples from across the dataset.