Tryon, NC
Tryon wildfire risk explained
Tryon sits at the 69th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 907 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tryon at the 72nd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Tryon's buildings actually sit
907 buildings are counted in Tryon, and 84.2% 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.
Where Tryon ranks
Tryon's risk sits at a similar level relative to North Carolina (69th percentile statewide) as it does nationally (69th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Tryon ranks 9,708 for wildfire risk (1 is highest) and 12,662 by building count (1 is largest). Within North Carolina alone, it ranks 239 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Tryon
Tryon's 69th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Tryon
Because Direct exposure dominates in Tryon (84.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Tryon's figures come from
Tryon's 69th-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 Tryon's dominant direct exposure actually means, with real examples from across the dataset.