Newark, OH
Newark wildfire risk explained
USFS scores Newark at the 33rd national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 21,744 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Newark at the 34th percentile, close to its 33rd-percentile risk score.
Newark's building exposure, zone by zone
Indirect exposure is dominant in Newark (49.1% of 21,744 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 15.3% sit in the Direct zone. At 21,744 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Newark against the rest of the country
Compare Newark's two percentiles: 72nd within Ohio, only 33rd nationally — a gap of 39 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Newark ranks 21,154 for wildfire risk (1 is highest) and 632 by building count (1 is largest). Within Ohio alone, it ranks 349 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
At the 33rd national percentile, Newark rates moderate 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 Newark
Because 49.1% of Newark's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Newark's figures come from
The methodology guide shows exactly how USFS turned 21,744 counted buildings into the percentiles shown above for Newark. The exposure-zones guide covers what Newark's dominant indirect exposure actually means, with real examples from across the dataset.