Cedaredge, CO
Cedaredge wildfire risk explained
Cedaredge's 1,474 buildings earn a 77th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Cedaredge at the 74th percentile, close to its 77th-percentile risk score.
What "at risk" means for the buildings here
Most of Cedaredge's buildings (71.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
How Cedaredge compares
Cedaredge's 77th national percentile looks worse in isolation than its 49th ranking inside Colorado does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Cedaredge ranks 7,145 for wildfire risk (1 is highest) and 9,286 by building count (1 is largest). Within Colorado alone, it ranks 243 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.
Cedaredge and the insurance market
At the 77th percentile nationally, Cedaredge carries the 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.
Lowering exposure, not just insuring around it
Because 71.1% of Cedaredge's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Cedaredge's figures come from
Every one of the two percentiles behind Cedaredge's 7,145-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Cedaredge's dominant indirect exposure actually means, with real examples from across the dataset.