WildfireRiskFinder

Aurora, IA

Aurora, IA's wildfire risk, in USFS's own numbers

Low
5thpercentile nationally

USFS scores Aurora at the 5th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 202 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Aurora at the 5th percentile, close to its 5th-percentile risk score.

Aurora's building exposure, zone by zone

202Total buildings
14.4%Direct exposure
0%Indirect exposure
85.6%Minimal exposure

Aurora rates 85.6% Minimal exposure against just 14.4% Direct and 0% Indirect — of 202 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Aurora ranks

There's little gap between Aurora's 5th national percentile and its 11th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Aurora ranks 29,948 for wildfire risk (1 is highest) and 24,761 by building count (1 is largest). Within Iowa alone, it ranks 902 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Aurora

At the 5th national percentile, Aurora rates low 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

Aurora's 85.6% 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 Aurora's figures come from

The methodology guide shows exactly how USFS turned 202 counted buildings into the percentiles shown above for Aurora. The exposure-zones guide covers what Aurora's dominant minimal exposure actually means, with real examples from across the dataset.