Millingport, NC
How exposed is Millingport to wildfire?
USFS scores Millingport at the 27th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 497 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Millingport's burn probability — fire likelihood with no building count factored in — sits at the 29th percentile nationally.
Where Millingport's buildings actually sit
89.1% of Millingport's 497 buildings sit in USFS's Direct exposure zone, roughly 443 structures close enough to burnable vegetation for flame contact, not just embers — 10.9% fall in the Indirect, ember-only zone and 0% are Minimal.
How Millingport compares
Millingport's 27th national percentile looks worse in isolation than its 1st ranking inside North Carolina does — this place is on the milder end for its own state, by 26 points. Among the 31,521 US communities USFS scores, Millingport ranks 22,945 for wildfire risk (1 is highest) and 17,412 by building count (1 is largest). Within North Carolina alone, it ranks 762 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Millingport
Millingport's moderate rating (27th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Millingport
Millingport's 89.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Millingport's figures come from
Millingport's 27th-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 Millingport's dominant direct exposure actually means, with real examples from across the dataset.