Manning, SC
Manning, SC's wildfire risk, in USFS's own numbers
USFS scores Manning at the 83rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 2,161 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Manning's burn probability — fire likelihood with no building count factored in — sits at the 83rd percentile nationally.
Where Manning's buildings actually sit
59.5% of Manning's 2,161 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 40.5% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Manning ranks
Manning scores 83rd nationally and 90th within South Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Manning ranks 5,492 for wildfire risk (1 is highest) and 7,039 by building count (1 is largest). Within South Carolina alone, it ranks 48 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Shopping for coverage in Manning
Manning's 83rd-percentile, very 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.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Manning (59.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Manning's figures come from
Every one of the two percentiles behind Manning's 5,492-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Manning's dominant indirect exposure actually means, with real examples from across the dataset.