Milledgeville, OH
Milledgeville, OH's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Milledgeville lands at the 1st percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 90 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Milledgeville at the 1st national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Milledgeville's buildings actually sit
94.4% of Milledgeville's 90 buildings sit in USFS's Minimal exposure zone, with only 5.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Milledgeville ranks
Milledgeville scores 1st nationally and 7th within Ohio — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Milledgeville ranks 31,156 for wildfire risk (1 is highest) and 29,506 by building count (1 is largest). Within Ohio alone, it ranks 1,176 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Milledgeville and the insurance market
Milledgeville's low wildfire rating (1st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Milledgeville
With 94.4% of buildings rated Minimal exposure, Milledgeville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Milledgeville's figures come from
Milledgeville's 1st-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Milledgeville's dominant minimal exposure actually means, with real examples from across the dataset.