Seven Hills, CO
How exposed is Seven Hills to wildfire?
USFS scores Seven Hills at the 99th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 70 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Seven Hills at the 99th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Seven Hills's buildings actually sit
USFS classifies 100% of Seven Hills's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 70 structures sit close enough to vegetation that lot clearing matters most.
Where Seven Hills ranks
Seven Hills's risk sits at a similar level relative to Colorado (98th percentile statewide) as it does nationally (99th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Seven Hills ranks 283 for wildfire risk (1 is highest) and 30,269 by building count (1 is largest). Within Colorado alone, it ranks 10 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
What this risk score means for insurance
Seven Hills's very high rating (99th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Because Direct exposure dominates in Seven Hills (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Seven Hills's figures come from
Every one of the two percentiles behind Seven Hills's 283-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Seven Hills's dominant direct exposure actually means, with real examples from across the dataset.