WildfireRiskFinder

Unionville, GA

Unionville wildfire risk explained

Elevated
54thpercentile nationally

Unionville's 852 buildings earn a 54th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Unionville's burn probability — fire likelihood with no building count factored in — sits at the 54th percentile nationally.

Unionville's building exposure, zone by zone

852Total buildings
25.2%Direct exposure
56.6%Indirect exposure
18.2%Minimal exposure

852 buildings are counted in Unionville, and 56.6% of them are Indirect exposure — ember-driven risk rather than the 25.2% in Direct exposure or the 18.2% rated Minimal.

How Unionville compares

Inside Georgia, Unionville sits at just the 11th percentile even though it scores 54th 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, Unionville ranks 14,397 for wildfire risk (1 is highest) and 13,147 by building count (1 is largest). Within Georgia alone, it ranks 595 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.

Unionville and the insurance market

At the 54th national percentile, Unionville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Unionville (56.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Unionville's figures come from

Every one of the two percentiles behind Unionville's 14,397-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Unionville's dominant indirect exposure actually means, with real examples from across the dataset.