WildfireRiskFinder

Dayton, ID

Dayton wildfire risk explained

Very High
93rdpercentile nationally

USFS's Wildfire Risk to Communities model puts Dayton at the 93rd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 380 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Dayton's burn probability — fire likelihood with no building count factored in — sits at the 92nd percentile nationally.

Where Dayton's buildings actually sit

380Total buildings
55%Direct exposure
42.6%Indirect exposure
2.4%Minimal exposure

Of Dayton's 380 counted buildings, 55% carry Direct exposure and only 2.4% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

How Dayton compares

Dayton's 93rd national percentile looks worse in isolation than its 74th ranking inside Idaho does — this place is on the milder end for its own state, by 19 points. Among the 31,521 US communities USFS scores, Dayton ranks 2,207 for wildfire risk (1 is highest) and 19,639 by building count (1 is largest). Within Idaho alone, it ranks 61 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.

Shopping for coverage in Dayton

At the 93rd percentile nationally, Dayton 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.

Hardening a home in Dayton

Because Direct exposure dominates in Dayton (55%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Dayton's figures come from

The methodology guide shows exactly how USFS turned 380 counted buildings into the percentiles shown above for Dayton. The exposure-zones guide covers what Dayton's dominant direct exposure actually means, with real examples from across the dataset.