Mayo, FL
Mayo, FL's wildfire risk, in USFS's own numbers
Mayo sits at the 82nd percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 503 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mayo at the 83rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Mayo's buildings actually sit
USFS puts 66.8% of Mayo's 503 buildings in the Indirect exposure zone, versus 33.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Mayo against the rest of the country
Inside Florida, Mayo sits at just the 53rd percentile even though it scores 82nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Mayo ranks 5,701 for wildfire risk (1 is highest) and 17,282 by building count (1 is largest). Within Florida alone, it ranks 447 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Mayo
Mayo's 82nd-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.
Hardening a home in Mayo
Because 66.8% of Mayo'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 Mayo's figures come from
Every one of the two percentiles behind Mayo's 5,701-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mayo's dominant indirect exposure actually means, with real examples from across the dataset.