WildfireRiskFinder

Millersport, OH

Millersport wildfire risk explained

Low
3rdpercentile nationally

Millersport's 640 buildings earn a 3rd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Millersport's burn probability — fire likelihood with no building count factored in — sits at the 3rd percentile nationally.

What "at risk" means for the buildings here

640Total buildings
13.1%Direct exposure
0%Indirect exposure
86.9%Minimal exposure

86.9% of Millersport's 640 buildings sit in USFS's Minimal exposure zone, with only 13.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Millersport ranks

Millersport scores 3rd nationally and 16th 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, Millersport ranks 30,748 for wildfire risk (1 is highest) and 15,332 by building count (1 is largest). Within Ohio alone, it ranks 1,069 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Shopping for coverage in Millersport

Millersport's low rating (3rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With 86.9% of buildings rated Minimal exposure, Millersport gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Millersport's figures come from

Millersport's 3rd-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 Millersport's dominant minimal exposure actually means, with real examples from across the dataset.