Carlton, GA
How exposed is Carlton to wildfire?
Out of every US place USFS scores, Carlton lands at the 68th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 244 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Carlton at the 71st percentile, close to its 68th-percentile risk score.
Carlton's building exposure, zone by zone
Direct exposure dominates in Carlton: 95.1% of its 244 buildings, versus 4.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Carlton against the rest of the country
There's little gap between Carlton's 68th national percentile and its 57th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Carlton ranks 10,141 for wildfire risk (1 is highest) and 23,326 by building count (1 is largest). Within Georgia alone, it ranks 285 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Carlton
Carlton's high rating (68th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With 95.1% of Carlton 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 Carlton's figures come from
Every one of the two percentiles behind Carlton's 10,141-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Carlton's dominant direct exposure actually means, with real examples from across the dataset.