Manderson, WY
Manderson wildfire risk explained
Manderson's 87 buildings earn a 56th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Manderson at the 53rd national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Manderson's buildings actually sit
Most of Manderson's buildings (72.4%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Manderson against the rest of the country
Inside Wyoming, Manderson sits at just the 12th percentile even though it scores 56th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Manderson ranks 13,980 for wildfire risk (1 is highest) and 29,639 by building count (1 is largest). Within Wyoming alone, it ranks 169 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Manderson and the insurance market
At the 56th national percentile, Manderson 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
Manderson's 72.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Manderson's figures come from
The methodology guide shows exactly how USFS turned 87 counted buildings into the percentiles shown above for Manderson. The exposure-zones guide covers what Manderson's dominant indirect exposure actually means, with real examples from across the dataset.