Maysville, KY
Maysville wildfire risk explained
USFS scores Maysville at the 30th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 4,603 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Maysville at the 33rd national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Maysville's buildings actually sit
USFS puts 57.7% of Maysville's 4,603 buildings in the Indirect exposure zone, versus 37.2% Direct and 5% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Maysville against the rest of the country
Maysville's 57th-percentile standing inside Kentucky outpaces its 30th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Maysville ranks 22,024 for wildfire risk (1 is highest) and 3,698 by building count (1 is largest). Within Kentucky alone, it ranks 239 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Maysville and the insurance market
At the 30th national percentile, Maysville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 57.7% of Maysville'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 Maysville's figures come from
Every one of the two percentiles behind Maysville's 22,024-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Maysville's dominant indirect exposure actually means, with real examples from across the dataset.