New Baltimore, OH
How exposed is New Baltimore to wildfire?
New Baltimore sits at the 16th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 737 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Baltimore's burn probability — fire likelihood with no building count factored in — sits at the 17th percentile nationally.
Where New Baltimore's buildings actually sit
Direct exposure dominates in New Baltimore: 63.1% of its 737 buildings, versus 36.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where New Baltimore ranks
Compare New Baltimore's two percentiles: 44th within Ohio, only 16th nationally — a gap of 28 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Baltimore ranks 26,512 for wildfire risk (1 is highest) and 14,251 by building count (1 is largest). Within Ohio alone, it ranks 707 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in New Baltimore
New Baltimore's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 63.1% of New Baltimore in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where New Baltimore's figures come from
The methodology guide shows exactly how USFS turned 737 counted buildings into the percentiles shown above for New Baltimore. The exposure-zones guide covers what New Baltimore's dominant direct exposure actually means, with real examples from across the dataset.