Deer Park, OH
Deer Park wildfire risk explained
Out of every US place USFS scores, Deer Park lands at the 11th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 2,959 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Deer Park's burn probability — fire likelihood with no building count factored in — sits at the 13th percentile nationally.
Deer Park's building exposure, zone by zone
94.4% of Deer Park's 2,959 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.
How Deer Park compares
Deer Park's 34th-percentile standing inside Ohio outpaces its 11th 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, Deer Park ranks 28,062 for wildfire risk (1 is highest) and 5,501 by building count (1 is largest). Within Ohio alone, it ranks 836 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in Deer Park
At the 11th national percentile, Deer Park 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 Deer Park
Even with 94.4% of Deer Park 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 Deer Park's figures come from
Every one of the two percentiles behind Deer Park's 28,062-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Deer Park's dominant minimal exposure actually means, with real examples from across the dataset.