Dansville, MI
Dansville, MI's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Dansville lands at the 12th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 343 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Dansville at the 13th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
64.1% of Dansville's 343 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Dansville against the rest of the country
Within Michigan, Dansville ranks higher (42nd percentile) than it does nationally (12th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Dansville ranks 27,643 for wildfire risk (1 is highest) and 20,487 by building count (1 is largest). Within Michigan alone, it ranks 429 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
What this risk score means for insurance
Dansville's low rating (12th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Dansville
With ember exposure the dominant pattern in Dansville (64.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Dansville's figures come from
Every one of the two percentiles behind Dansville's 27,643-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Dansville's dominant indirect exposure actually means, with real examples from across the dataset.