Quincy, FL
Quincy, FL's wildfire risk, in USFS's own numbers
USFS scores Quincy at the 77th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 3,546 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Quincy at the 76th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Quincy's buildings actually sit
Indirect exposure is dominant in Quincy (53.8% of 3,546 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 46.3% sit in the Direct zone.
Quincy against the rest of the country
Quincy's 77th national percentile looks worse in isolation than its 40th ranking inside Florida does — this place is on the milder end for its own state, by 36 points. Among the 31,521 US communities USFS scores, Quincy ranks 7,400 for wildfire risk (1 is highest) and 4,723 by building count (1 is largest). Within Florida alone, it ranks 571 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Quincy and the insurance market
Quincy's 77th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
Because 53.8% of Quincy's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Quincy's figures come from
Quincy's 77th-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 Quincy's dominant indirect exposure actually means, with real examples from across the dataset.