Faceville, GA
Faceville, GA's wildfire risk, in USFS's own numbers
Faceville's 127 buildings earn a 70th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Faceville at the 69th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Faceville's buildings actually sit
Direct exposure dominates in Faceville: 99.2% of its 127 buildings, versus 0.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Faceville compares
Faceville's risk sits at a similar level relative to Georgia (66th percentile statewide) as it does nationally (70th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Faceville ranks 9,352 for wildfire risk (1 is highest) and 27,844 by building count (1 is largest). Within Georgia alone, it ranks 230 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Faceville and the insurance market
Faceville's 70th-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.
Lowering exposure, not just insuring around it
Faceville's 99.2% 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 Faceville's figures come from
The methodology guide shows exactly how USFS turned 127 counted buildings into the percentiles shown above for Faceville. The exposure-zones guide covers what Faceville's dominant direct exposure actually means, with real examples from across the dataset.