Tyrone, GA
Tyrone wildfire risk explained
USFS's Wildfire Risk to Communities model puts Tyrone at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 3,218 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tyrone at the 66th percentile, close to its 63rd-percentile risk score.
Where Tyrone's buildings actually sit
79.5% of Tyrone's 3,218 buildings sit in USFS's Direct exposure zone, roughly 2,558 structures close enough to burnable vegetation for flame contact, not just embers — 20.5% fall in the Indirect, ember-only zone and 0% are Minimal.
How Tyrone compares
Inside Georgia, Tyrone sits at just the 29th percentile even though it scores 63rd 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, Tyrone ranks 11,813 for wildfire risk (1 is highest) and 5,146 by building count (1 is largest). Within Georgia alone, it ranks 475 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Tyrone
At the 63rd percentile nationally, Tyrone carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 79.5% of Tyrone 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 Tyrone's figures come from
The methodology guide shows exactly how USFS turned 3,218 counted buildings into the percentiles shown above for Tyrone. The exposure-zones guide covers what Tyrone's dominant direct exposure actually means, with real examples from across the dataset.