Nashville, MI
Nashville, MI's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Nashville at the 12th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 875 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nashville at the 12th 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
59.4% of Nashville's 875 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 38.3% Direct and 2.3% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Nashville against the rest of the country
Within Michigan, Nashville ranks higher (41st 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, Nashville ranks 27,736 for wildfire risk (1 is highest) and 12,948 by building count (1 is largest). Within Michigan alone, it ranks 439 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
At the 12th national percentile, Nashville rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Nashville
Because 59.4% of Nashville'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 Nashville's figures come from
The methodology guide shows exactly how USFS turned 875 counted buildings into the percentiles shown above for Nashville. The exposure-zones guide covers what Nashville's dominant indirect exposure actually means, with real examples from across the dataset.