Pulaski, GA
Pulaski wildfire risk explained
USFS scores Pulaski at the 65th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 114 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pulaski at the 64th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Pulaski's building exposure, zone by zone
114 buildings are counted in Pulaski, and 71.1% 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.
Pulaski against the rest of the country
Pulaski's 65th national percentile looks worse in isolation than its 42nd ranking inside Georgia does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Pulaski ranks 11,056 for wildfire risk (1 is highest) and 28,443 by building count (1 is largest). Within Georgia alone, it ranks 389 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.
Shopping for coverage in Pulaski
At the 65th percentile nationally, Pulaski 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 71.1% of Pulaski 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 Pulaski's figures come from
The methodology guide shows exactly how USFS turned 114 counted buildings into the percentiles shown above for Pulaski. The exposure-zones guide covers what Pulaski's dominant direct exposure actually means, with real examples from across the dataset.