Dalzell, SC
Dalzell, SC's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Dalzell at the 72nd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,706 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Dalzell's burn probability — fire likelihood with no building count factored in — sits at the 73rd percentile nationally.
Dalzell's building exposure, zone by zone
1,706 buildings are counted in Dalzell, and 78.3% 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.
How Dalzell compares
There's little gap between Dalzell's 72nd national percentile and its 66th percentile inside South Carolina, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Dalzell ranks 8,704 for wildfire risk (1 is highest) and 8,402 by building count (1 is largest). Within South Carolina alone, it ranks 160 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Dalzell and the insurance market
At the 72nd percentile nationally, Dalzell 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.
Hardening a home in Dalzell
With 78.3% of Dalzell 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 Dalzell's figures come from
The methodology guide shows exactly how USFS turned 1,706 counted buildings into the percentiles shown above for Dalzell. The exposure-zones guide covers what Dalzell's dominant direct exposure actually means, with real examples from across the dataset.