WildfireRiskFinder

Atkins, IA

Atkins wildfire risk explained

Low
5thpercentile nationally

Out of every US place USFS scores, Atkins lands at the 5th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 854 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Atkins at the 5th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Atkins's buildings actually sit

854Total buildings
8.4%Direct exposure
0%Indirect exposure
91.6%Minimal exposure

Most of Atkins's buildings (91.6% of 854) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Atkins against the rest of the country

Atkins scores 5th nationally and 12th 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, Atkins ranks 29,880 for wildfire risk (1 is highest) and 13,134 by building count (1 is largest). Within Iowa alone, it ranks 896 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Atkins

Atkins's low rating (5th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Atkins

Atkins's 91.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Atkins's figures come from

Every one of the two percentiles behind Atkins's 29,880-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Atkins's dominant minimal exposure actually means, with real examples from across the dataset.