Arlington, KY
Arlington wildfire risk explained
Arlington sits at the 27th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 209 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Arlington at the 28th national percentile — 1 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
Arlington rates 51.2% Minimal exposure against just 48.8% Direct and 0% Indirect — of 209 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Arlington compares
Compare Arlington's two percentiles: 51st within Kentucky, only 27th nationally — a gap of 24 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Arlington ranks 22,997 for wildfire risk (1 is highest) and 24,513 by building count (1 is largest). Within Kentucky alone, it ranks 270 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
What this risk score means for insurance
Arlington's moderate rating (27th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 51.2% of Arlington outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Arlington's figures come from
Every one of the two percentiles behind Arlington's 22,997-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Arlington's dominant minimal exposure actually means, with real examples from across the dataset.