New Burlington, OH
New Burlington, OH's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts New Burlington at the 12th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 2,322 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Burlington's burn probability — fire likelihood with no building count factored in — sits at the 14th percentile nationally.
What "at risk" means for the buildings here
56.3% of New Burlington's 2,322 buildings sit in USFS's Direct exposure zone, roughly 1,308 structures close enough to burnable vegetation for flame contact, not just embers — 10.7% fall in the Indirect, ember-only zone and 33% are Minimal.
New Burlington against the rest of the country
New Burlington's 37th-percentile standing inside Ohio outpaces its 12th 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, New Burlington ranks 27,747 for wildfire risk (1 is highest) and 6,660 by building count (1 is largest). Within Ohio alone, it ranks 803 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Shopping for coverage in New Burlington
At the 12th national percentile, New Burlington rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Because Direct exposure dominates in New Burlington (56.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where New Burlington's figures come from
The methodology guide shows exactly how USFS turned 2,322 counted buildings into the percentiles shown above for New Burlington. The exposure-zones guide covers what New Burlington's dominant direct exposure actually means, with real examples from across the dataset.