Glenview Hills, KY
Glenview Hills wildfire risk explained
Out of every US place USFS scores, Glenview Hills lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 147 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Glenview Hills at the 17th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Glenview Hills's building exposure, zone by zone
61.2% of Glenview Hills's 147 buildings sit in USFS's Minimal exposure zone, with only 38.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Glenview Hills compares
Glenview Hills scores 16th nationally and 25th within Kentucky — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Glenview Hills ranks 26,595 for wildfire risk (1 is highest) and 26,985 by building count (1 is largest). Within Kentucky alone, it ranks 417 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Glenview Hills and the insurance market
At the 16th national percentile, Glenview Hills rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Glenview Hills
With 61.2% of buildings rated Minimal exposure, Glenview Hills gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Glenview Hills's figures come from
The methodology guide shows exactly how USFS turned 147 counted buildings into the percentiles shown above for Glenview Hills. The exposure-zones guide covers what Glenview Hills's dominant minimal exposure actually means, with real examples from across the dataset.