Peoria, CO
Peoria wildfire risk explained
USFS's Wildfire Risk to Communities model puts Peoria at the 83rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 188 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Peoria's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
What "at risk" means for the buildings here
USFS classifies 98.4% of Peoria's buildings as Direct exposure, higher than its 1.6% Indirect share and far above its 0% Minimal share — a profile where 185 structures sit close enough to vegetation that lot clearing matters most.
How Peoria compares
Peoria's 83rd national percentile looks worse in isolation than its 60th ranking inside Colorado does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Peoria ranks 5,512 for wildfire risk (1 is highest) and 25,309 by building count (1 is largest). Within Colorado alone, it ranks 190 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
Peoria's 83rd-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
Peoria's 98.4% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Peoria's figures come from
The methodology guide shows exactly how USFS turned 188 counted buildings into the percentiles shown above for Peoria. The exposure-zones guide covers what Peoria's dominant direct exposure actually means, with real examples from across the dataset.