Fairview (Union), NC
How exposed is Fairview (Union) to wildfire?
Fairview (Union)'s 3,333 buildings earn a 30th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Fairview (Union) at the 33rd percentile, close to its 30th-percentile risk score.
What "at risk" means for the buildings here
Of Fairview (Union)'s 3,333 counted buildings, 90.3% carry Direct exposure and only 0.5% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Fairview (Union) against the rest of the country
Inside North Carolina, Fairview (Union) sits at just the 3rd percentile even though it scores 30th 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, Fairview (Union) ranks 21,940 for wildfire risk (1 is highest) and 5,000 by building count (1 is largest). Within North Carolina alone, it ranks 750 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
What this risk score means for insurance
Fairview (Union)'s moderate rating (30th 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 Fairview (Union)
Fairview (Union)'s 90.3% 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 Fairview (Union)'s figures come from
The methodology guide shows exactly how USFS turned 3,333 counted buildings into the percentiles shown above for Fairview (Union). The exposure-zones guide covers what Fairview (Union)'s dominant direct exposure actually means, with real examples from across the dataset.