Woodlawn, NC
How exposed is Woodlawn to wildfire?
Out of every US place USFS scores, Woodlawn lands at the 46th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 554 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Woodlawn's burn probability — fire likelihood with no building count factored in — sits at the 48th percentile nationally.
Where Woodlawn's buildings actually sit
Of Woodlawn's 554 counted buildings, 94.8% carry Direct exposure and only 0.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Woodlawn ranks
Inside North Carolina, Woodlawn sits at just the 30th percentile even though it scores 46th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Woodlawn ranks 16,937 for wildfire risk (1 is highest) and 16,523 by building count (1 is largest). Within North Carolina alone, it ranks 544 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Woodlawn
Woodlawn's elevated rating (46th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 94.8% of Woodlawn 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 Woodlawn's figures come from
Every one of the two percentiles behind Woodlawn's 16,937-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Woodlawn's dominant direct exposure actually means, with real examples from across the dataset.