Fort Carson, CO
Fort Carson, CO's wildfire risk, in USFS's own numbers
Fort Carson's 2,894 buildings earn a 97th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fort Carson at the 97th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Fort Carson's buildings actually sit
Indirect exposure is dominant in Fort Carson (58.3% of 2,894 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 25% sit in the Direct zone.
Fort Carson against the rest of the country
Fort Carson's risk sits at a similar level relative to Colorado (87th 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, Fort Carson ranks 1,034 for wildfire risk (1 is highest) and 5,595 by building count (1 is largest). Within Colorado alone, it ranks 61 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
Fort Carson's 97th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Fort Carson (58.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Fort Carson's figures come from
The methodology guide shows exactly how USFS turned 2,894 counted buildings into the percentiles shown above for Fort Carson. The exposure-zones guide covers what Fort Carson's dominant indirect exposure actually means, with real examples from across the dataset.