Hilliard, OH
Hilliard, OH's wildfire risk, in USFS's own numbers
Hilliard's 10,760 buildings earn a 5th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Hilliard's burn probability — fire likelihood with no building count factored in — sits at the 5th percentile nationally.
Where Hilliard's buildings actually sit
96.8% of Hilliard's 10,760 buildings sit in USFS's Minimal exposure zone, with only 3.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself. At 10,760 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Hilliard against the rest of the country
Hilliard's 23rd-percentile standing inside Ohio outpaces its 5th 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, Hilliard ranks 30,113 for wildfire risk (1 is highest) and 1,473 by building count (1 is largest). Within Ohio alone, it ranks 971 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Hilliard and the insurance market
At the 5th national percentile, Hilliard 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
Hilliard's 96.8% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Hilliard's figures come from
Hilliard's 5th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Hilliard's dominant minimal exposure actually means, with real examples from across the dataset.