Norristown, GA
Norristown wildfire risk explained
USFS scores Norristown at the 65th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 53 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Norristown at the 65th percentile, close to its 65th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 71.7% of Norristown's buildings as Direct exposure, higher than its 28.3% Indirect share and far above its 0% Minimal share — a profile where 38 structures sit close enough to vegetation that lot clearing matters most.
How Norristown compares
Inside Georgia, Norristown sits at just the 40th percentile even though it scores 65th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Norristown ranks 11,182 for wildfire risk (1 is highest) and 30,842 by building count (1 is largest). Within Georgia alone, it ranks 405 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Norristown
At the 65th percentile nationally, Norristown 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
Because Direct exposure dominates in Norristown (71.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Norristown's figures come from
Every one of the two percentiles behind Norristown's 11,182-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Norristown's dominant direct exposure actually means, with real examples from across the dataset.