Millerton, IA
How exposed is Millerton to wildfire?
USFS's Wildfire Risk to Communities model puts Millerton at the 57th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 53 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Millerton at the 58th percentile, close to its 57th-percentile risk score.
Millerton's building exposure, zone by zone
62.3% of Millerton's 53 buildings sit in USFS's Direct exposure zone, roughly 33 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 37.7% are Minimal.
How Millerton compares
Millerton's 79th-percentile standing inside Iowa outpaces its 57th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Millerton ranks 13,542 for wildfire risk (1 is highest) and 30,844 by building count (1 is largest). Within Iowa alone, it ranks 217 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Millerton and the insurance market
At the 57th national percentile, Millerton rates elevated 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
Millerton's 62.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Millerton's figures come from
Millerton's 57th-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 Millerton's dominant direct exposure actually means, with real examples from across the dataset.