Wooster, IN
Wooster wildfire risk explained
Out of every US place USFS scores, Wooster lands at the 6th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 88 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wooster at the 6th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
88.6% of Wooster's 88 buildings sit in USFS's Direct exposure zone, roughly 78 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 11.4% are Minimal.
Where Wooster ranks
Wooster's 42nd-percentile standing inside Indiana outpaces its 6th 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, Wooster ranks 29,595 for wildfire risk (1 is highest) and 29,571 by building count (1 is largest). Within Indiana alone, it ranks 566 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Wooster
At the 6th national percentile, Wooster rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Wooster's 88.6% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Wooster's figures come from
Every one of the two percentiles behind Wooster's 29,595-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wooster's dominant direct exposure actually means, with real examples from across the dataset.