Wiscon, FL
Wiscon wildfire risk explained
USFS scores Wiscon at the 84th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 427 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wiscon at the 82nd national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
Wiscon's building exposure, zone by zone
Indirect exposure is dominant in Wiscon (52.9% of 427 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 47.1% sit in the Direct zone.
How Wiscon compares
Wiscon's 84th national percentile looks worse in isolation than its 61st ranking inside Florida does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Wiscon ranks 5,038 for wildfire risk (1 is highest) and 18,707 by building count (1 is largest). Within Florida alone, it ranks 377 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Wiscon and the insurance market
Wiscon's 84th-percentile, very 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 52.9% of Wiscon'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 Wiscon's figures come from
Every one of the two percentiles behind Wiscon's 5,038-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wiscon's dominant indirect exposure actually means, with real examples from across the dataset.