WildfireRiskFinder

Wyaconda, MO

Wyaconda wildfire risk explained

Elevated
57thpercentile nationally

USFS scores Wyaconda at the 57th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 243 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Wyaconda's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.

Where Wyaconda's buildings actually sit

243Total buildings
25.1%Direct exposure
74.9%Indirect exposure
0%Minimal exposure

243 buildings are counted in Wyaconda, and 74.9% of them are Indirect exposure — ember-driven risk rather than the 25.1% in Direct exposure or the 0% rated Minimal.

How Wyaconda compares

There's little gap between Wyaconda's 57th national percentile and its 48th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Wyaconda ranks 13,469 for wildfire risk (1 is highest) and 23,368 by building count (1 is largest). Within Missouri alone, it ranks 550 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.

Shopping for coverage in Wyaconda

At the 57th national percentile, Wyaconda rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Because 74.9% of Wyaconda's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Wyaconda's figures come from

The methodology guide shows exactly how USFS turned 243 counted buildings into the percentiles shown above for Wyaconda. The exposure-zones guide covers what Wyaconda's dominant indirect exposure actually means, with real examples from across the dataset.