WildfireRiskFinder

Linton, IN

Linton, IN's wildfire risk, in USFS's own numbers

Low
11thpercentile nationally

Out of every US place USFS scores, Linton lands at the 11th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 3,610 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Linton's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.

What "at risk" means for the buildings here

3,610Total buildings
17%Direct exposure
83%Indirect exposure
0%Minimal exposure

USFS puts 83% of Linton's 3,610 buildings in the Indirect exposure zone, versus 17% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Linton against the rest of the country

Compare Linton's two percentiles: 59th within Indiana, only 11th nationally — a gap of 48 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Linton ranks 28,042 for wildfire risk (1 is highest) and 4,641 by building count (1 is largest). Within Indiana alone, it ranks 396 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

What this risk score means for insurance

At the 11th national percentile, Linton rates low 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 Linton

Because 83% of Linton'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 Linton's figures come from

The methodology guide shows exactly how USFS turned 3,610 counted buildings into the percentiles shown above for Linton. The exposure-zones guide covers what Linton's dominant indirect exposure actually means, with real examples from across the dataset.