Gleneagle, CO
How exposed is Gleneagle to wildfire?
Gleneagle sits at the 97th 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 2,192 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Gleneagle's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Gleneagle's building exposure, zone by zone
USFS puts 58.8% of Gleneagle's 2,192 buildings in the Indirect exposure zone, versus 38.5% Direct and 2.7% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Gleneagle against the rest of the country
Gleneagle's risk sits at a similar level relative to Colorado (88th percentile statewide) as it does nationally (97th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Gleneagle ranks 939 for wildfire risk (1 is highest) and 6,951 by building count (1 is largest). Within Colorado alone, it ranks 56 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Shopping for coverage in Gleneagle
At the 97th percentile nationally, Gleneagle carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With ember exposure the dominant pattern in Gleneagle (58.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Gleneagle's figures come from
Every one of the two percentiles behind Gleneagle's 939-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gleneagle's dominant indirect exposure actually means, with real examples from across the dataset.