Jersey, GA
How exposed is Jersey to wildfire?
Out of every US place USFS scores, Jersey lands at the 61st percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 128 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Jersey at the 65th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 100% of Jersey's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 128 structures sit close enough to vegetation that lot clearing matters most.
How Jersey compares
Jersey's 61st national percentile looks worse in isolation than its 24th ranking inside Georgia does — this place is on the milder end for its own state, by 37 points. Among the 31,521 US communities USFS scores, Jersey ranks 12,223 for wildfire risk (1 is highest) and 27,785 by building count (1 is largest). Within Georgia alone, it ranks 510 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
What this risk score means for insurance
At the 61st percentile nationally, Jersey 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
Jersey's 100% 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 Jersey's figures come from
Jersey's 61st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Jersey's dominant direct exposure actually means, with real examples from across the dataset.