Baldwin, GA
Baldwin, GA's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Baldwin at the 71st national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,388 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Baldwin at the 74th percentile, close to its 71st-percentile risk score.
Baldwin's building exposure, zone by zone
USFS classifies 51.9% of Baldwin's buildings as Direct exposure, higher than its 48.1% Indirect share and far above its 0% Minimal share — a profile where 720 structures sit close enough to vegetation that lot clearing matters most.
Baldwin against the rest of the country
There's little gap between Baldwin's 71st national percentile and its 68th percentile inside Georgia, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Baldwin ranks 9,138 for wildfire risk (1 is highest) and 9,676 by building count (1 is largest). Within Georgia alone, it ranks 214 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Baldwin and the insurance market
At the 71st percentile nationally, Baldwin 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.
Hardening a home in Baldwin
Because Direct exposure dominates in Baldwin (51.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Baldwin's figures come from
Every one of the two percentiles behind Baldwin's 9,138-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Baldwin's dominant direct exposure actually means, with real examples from across the dataset.