WildfireRiskFinder

Bartow, GA

Bartow wildfire risk explained

High
66thpercentile nationally

USFS's Wildfire Risk to Communities model puts Bartow at the 66th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 210 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Bartow's burn probability — fire likelihood with no building count factored in — sits at the 67th percentile nationally.

What "at risk" means for the buildings here

210Total buildings
85.7%Direct exposure
14.3%Indirect exposure
0%Minimal exposure

210 buildings are counted in Bartow, and 85.7% 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.

How Bartow compares

Bartow's 66th national percentile looks worse in isolation than its 47th ranking inside Georgia does — this place is on the milder end for its own state, by 19 points. Among the 31,521 US communities USFS scores, Bartow ranks 10,770 for wildfire risk (1 is highest) and 24,469 by building count (1 is largest). Within Georgia alone, it ranks 355 of 669 places by risk. See the full county-by-county picture for Georgia on its state page.

Bartow and the insurance market

Bartow's high rating (66th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Lowering exposure, not just insuring around it

With 85.7% of Bartow 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 Bartow's figures come from

The methodology guide shows exactly how USFS turned 210 counted buildings into the percentiles shown above for Bartow. The exposure-zones guide covers what Bartow's dominant direct exposure actually means, with real examples from across the dataset.