Meigs, GA
Meigs, GA's wildfire risk, in USFS's own numbers
Meigs sits at the 57th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 515 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Meigs at the 55th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Meigs's building exposure, zone by zone
Direct exposure dominates in Meigs: 62.5% of its 515 buildings, versus 37.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Meigs against the rest of the country
Meigs ranks lower within Georgia (15th percentile statewide) than its 57th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Meigs ranks 13,457 for wildfire risk (1 is highest) and 17,097 by building count (1 is largest). Within Georgia alone, it ranks 572 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Meigs
Meigs's elevated wildfire rating (57th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Meigs's 62.5% 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 Meigs's figures come from
The methodology guide shows exactly how USFS turned 515 counted buildings into the percentiles shown above for Meigs. The exposure-zones guide covers what Meigs's dominant direct exposure actually means, with real examples from across the dataset.