Gilmer Park, IN
Gilmer Park wildfire risk explained
Gilmer Park's 718 buildings earn a 7th-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, Gilmer Park's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.
Where Gilmer Park's buildings actually sit
Most of Gilmer Park's buildings (72.6%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Gilmer Park ranks
Gilmer Park's 47th-percentile standing inside Indiana outpaces its 7th 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, Gilmer Park ranks 29,186 for wildfire risk (1 is highest) and 14,475 by building count (1 is largest). Within Indiana alone, it ranks 510 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Gilmer Park
At the 7th national percentile, Gilmer Park 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
Because 72.6% of Gilmer Park'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 Gilmer Park's figures come from
Every one of the two percentiles behind Gilmer Park's 29,186-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gilmer Park's dominant indirect exposure actually means, with real examples from across the dataset.