Mills, WY
Mills, WY's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Mills lands at the 76th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 2,572 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mills at the 72nd national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS puts 92% of Mills's 2,572 buildings in the Indirect exposure zone, versus 6.7% Direct and 1.4% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
How Mills compares
Inside Wyoming, Mills sits at just the 39th percentile even though it scores 76th 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, Mills ranks 7,581 for wildfire risk (1 is highest) and 6,158 by building count (1 is largest). Within Wyoming alone, it ranks 118 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Shopping for coverage in Mills
At the 76th percentile nationally, Mills carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
Because 92% of Mills'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 Mills's figures come from
The methodology guide shows exactly how USFS turned 2,572 counted buildings into the percentiles shown above for Mills. The exposure-zones guide covers what Mills's dominant indirect exposure actually means, with real examples from across the dataset.