WildfireRiskFinder

Milan, KS

Milan wildfire risk explained

Elevated
40thpercentile nationally

Milan's 104 buildings earn a 40th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Milan's burn probability — fire likelihood with no building count factored in — sits at the 32nd percentile nationally.

Milan's building exposure, zone by zone

104Total buildings
20.2%Direct exposure
0%Indirect exposure
79.8%Minimal exposure

Only 20.2% of Milan's 104 buildings carry Direct exposure and 0% carry Indirect; the remaining 79.8% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.

Milan against the rest of the country

Milan ranks lower within Kansas (16th percentile statewide) than its 40th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Milan ranks 18,875 for wildfire risk (1 is highest) and 28,845 by building count (1 is largest). Within Kansas alone, it ranks 603 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.

Milan and the insurance market

At the 40th national percentile, Milan 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

With 79.8% of buildings rated Minimal exposure, Milan gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Milan's figures come from

The methodology guide shows exactly how USFS turned 104 counted buildings into the percentiles shown above for Milan. The exposure-zones guide covers what Milan's dominant minimal exposure actually means, with real examples from across the dataset.