Junction City, OH
Junction City wildfire risk explained
Out of every US place USFS scores, Junction City lands at the 43rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 444 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Junction City at the 44th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Junction City's building exposure, zone by zone
444 buildings are counted in Junction City, and 70.5% of them are Indirect exposure — ember-driven risk rather than the 29.5% in Direct exposure or the 0% rated Minimal.
Where Junction City ranks
Junction City's 95th-percentile standing inside Ohio outpaces its 43rd 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, Junction City ranks 17,974 for wildfire risk (1 is highest) and 18,387 by building count (1 is largest). Within Ohio alone, it ranks 70 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
Junction City and the insurance market
At the 43rd national percentile, Junction City rates elevated 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 Junction City
Because 70.5% of Junction City'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 Junction City's figures come from
Junction City's 43rd-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 Junction City's dominant indirect exposure actually means, with real examples from across the dataset.