WildfireRiskFinder

Kinross, IA

How exposed is Kinross to wildfire?

Moderate
35thpercentile nationally

Kinross's 63 buildings earn a 35th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kinross at the 35th percentile, close to its 35th-percentile risk score.

Where Kinross's buildings actually sit

63Total buildings
27%Direct exposure
0%Indirect exposure
73%Minimal exposure

Only 27% of Kinross's 63 buildings carry Direct exposure and 0% carry Indirect; the remaining 73% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Where Kinross ranks

Kinross scores 35th nationally and 50th within Iowa — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Kinross ranks 20,385 for wildfire risk (1 is highest) and 30,540 by building count (1 is largest). Within Iowa alone, it ranks 507 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Kinross

At the 35th national percentile, Kinross rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With 73% of buildings rated Minimal exposure, Kinross gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Kinross's figures come from

Every one of the two percentiles behind Kinross's 20,385-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kinross's dominant minimal exposure actually means, with real examples from across the dataset.