Eagle Grove, GA
Eagle Grove wildfire risk explained
USFS scores Eagle Grove at the 63rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 184 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 Eagle Grove at the 67th percentile, close to its 63rd-percentile risk score.
Where Eagle Grove's buildings actually sit
184 buildings are counted in Eagle Grove, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Eagle Grove ranks
Eagle Grove's 63rd national percentile looks worse in isolation than its 31st ranking inside Georgia does — this place is on the milder end for its own state, by 32 points. Among the 31,521 US communities USFS scores, Eagle Grove ranks 11,718 for wildfire risk (1 is highest) and 25,453 by building count (1 is largest). Within Georgia alone, it ranks 463 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Eagle Grove and the insurance market
At the 63rd percentile nationally, Eagle Grove 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
With 100% of Eagle Grove 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 Eagle Grove's figures come from
Eagle Grove's 63rd-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 Eagle Grove's dominant direct exposure actually means, with real examples from across the dataset.