WildfireRiskFinder

Greenup, KY

Greenup, KY's wildfire risk, in USFS's own numbers

Elevated
55thpercentile nationally

Greenup's 781 buildings earn a 55th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Greenup at the 58th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

781Total buildings
12.2%Direct exposure
86.3%Indirect exposure
1.5%Minimal exposure

781 buildings are counted in Greenup, and 86.3% of them are Indirect exposure — ember-driven risk rather than the 12.2% in Direct exposure or the 1.5% rated Minimal.

Where Greenup ranks

Greenup's 80th-percentile standing inside Kentucky outpaces its 55th 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, Greenup ranks 14,242 for wildfire risk (1 is highest) and 13,803 by building count (1 is largest). Within Kentucky alone, it ranks 109 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.

Greenup and the insurance market

At the 55th national percentile, Greenup rates elevated 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

With ember exposure the dominant pattern in Greenup (86.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Greenup's figures come from

The methodology guide shows exactly how USFS turned 781 counted buildings into the percentiles shown above for Greenup. The exposure-zones guide covers what Greenup's dominant indirect exposure actually means, with real examples from across the dataset.