Baltimore, OH
How exposed is Baltimore to wildfire?
Baltimore sits at the 7th 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 1,619 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Baltimore's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
What "at risk" means for the buildings here
Most of Baltimore's buildings (79.4% of 1,619) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Baltimore compares
Baltimore's 28th-percentile standing inside Ohio outpaces its 7th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Baltimore ranks 29,197 for wildfire risk (1 is highest) and 8,698 by building count (1 is largest). Within Ohio alone, it ranks 908 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Baltimore and the insurance market
At the 7th national percentile, Baltimore 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 Baltimore
Even with 79.4% of Baltimore outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Baltimore's figures come from
Every one of the two percentiles behind Baltimore's 29,197-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Baltimore's dominant minimal exposure actually means, with real examples from across the dataset.