Fort Atkinson, IA
Fort Atkinson wildfire risk explained
Out of every US place USFS scores, Fort Atkinson lands at the 33rd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 254 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Fort Atkinson's burn probability — fire likelihood with no building count factored in — sits at the 34th percentile nationally.
Fort Atkinson's building exposure, zone by zone
Only 9.8% of Fort Atkinson's 254 buildings carry Direct exposure and 0% carry Indirect; the remaining 90.2% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Fort Atkinson ranks
Fort Atkinson scores 33rd nationally and 47th 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, Fort Atkinson ranks 21,173 for wildfire risk (1 is highest) and 23,010 by building count (1 is largest). Within Iowa alone, it ranks 534 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
What this risk score means for insurance
At the 33rd national percentile, Fort Atkinson rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Fort Atkinson
Even with 90.2% of Fort Atkinson outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Fort Atkinson's figures come from
Fort Atkinson's 33rd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Fort Atkinson's dominant minimal exposure actually means, with real examples from across the dataset.