Andrews, SC
Andrews wildfire risk explained
USFS scores Andrews at the 82nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 1,570 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Andrews's burn probability — fire likelihood with no building count factored in — sits at the 84th percentile nationally.
Andrews's building exposure, zone by zone
53.1% of Andrews's 1,570 buildings sit in USFS's Direct exposure zone, roughly 834 structures close enough to burnable vegetation for flame contact, not just embers — 46.9% fall in the Indirect, ember-only zone and 0% are Minimal.
How Andrews compares
There's little gap between Andrews's 82nd national percentile and its 89th 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, Andrews ranks 5,620 for wildfire risk (1 is highest) and 8,886 by building count (1 is largest). Within South Carolina alone, it ranks 52 of 474 places by risk. See the full county-by-county picture for South Carolina on its state page.
Andrews and the insurance market
Andrews's very high rating (82nd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
With 53.1% of Andrews 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 Andrews's figures come from
Andrews's 82nd-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 Andrews's dominant direct exposure actually means, with real examples from across the dataset.