WildfireRiskFinder

Tyro, NC

How exposed is Tyro to wildfire?

Elevated
55thpercentile nationally

USFS's Wildfire Risk to Communities model puts Tyro at the 55th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 2,599 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Tyro's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.

Where Tyro's buildings actually sit

2,599Total buildings
95.5%Direct exposure
4.5%Indirect exposure
0%Minimal exposure

95.5% of Tyro's 2,599 buildings sit in USFS's Direct exposure zone, roughly 2,482 structures close enough to burnable vegetation for flame contact, not just embers — 4.5% fall in the Indirect, ember-only zone and 0% are Minimal.

Where Tyro ranks

Tyro scores 55th nationally and 52nd within North Carolina — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Tyro ranks 14,128 for wildfire risk (1 is highest) and 6,102 by building count (1 is largest). Within North Carolina alone, it ranks 373 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.

Shopping for coverage in Tyro

Tyro's elevated rating (55th 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 Tyro

With 95.5% of Tyro 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 Tyro's figures come from

The methodology guide shows exactly how USFS turned 2,599 counted buildings into the percentiles shown above for Tyro. The exposure-zones guide covers what Tyro's dominant direct exposure actually means, with real examples from across the dataset.