West Millgrove, OH
West Millgrove, OH's wildfire risk, in USFS's own numbers
USFS scores West Millgrove at the 1st national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 135 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, West Millgrove's burn probability — fire likelihood with no building count factored in — sits at the 1st percentile nationally.
Where West Millgrove's buildings actually sit
West Millgrove rates 65.2% Minimal exposure against just 34.8% Direct and 0% Indirect — of 135 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
West Millgrove against the rest of the country
There's little gap between West Millgrove's 1st national percentile and its 6th percentile inside Ohio, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, West Millgrove ranks 31,220 for wildfire risk (1 is highest) and 27,510 by building count (1 is largest). Within Ohio alone, it ranks 1,199 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
West Millgrove and the insurance market
At the 1st national percentile, West Millgrove rates low 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 65.2% of buildings rated Minimal exposure, West Millgrove gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where West Millgrove's figures come from
Every one of the two percentiles behind West Millgrove's 31,220-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what West Millgrove's dominant minimal exposure actually means, with real examples from across the dataset.