WildfireRiskFinder

Lanesville, IN

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

Moderate
27thpercentile nationally

Lanesville's 506 buildings earn a 27th-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Lanesville's burn probability — fire likelihood with no building count factored in — sits at the 28th percentile nationally.

Lanesville's building exposure, zone by zone

506Total buildings
66%Direct exposure
34%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Lanesville: 66% of its 506 buildings, versus 34% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Lanesville ranks

Within Indiana, Lanesville ranks higher (92nd percentile) than it does nationally (27th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lanesville ranks 23,095 for wildfire risk (1 is highest) and 17,240 by building count (1 is largest). Within Indiana alone, it ranks 75 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in Lanesville

At the 27th national percentile, Lanesville rates moderate 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

Lanesville's 66% 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 Lanesville's figures come from

The methodology guide shows exactly how USFS turned 506 counted buildings into the percentiles shown above for Lanesville. The exposure-zones guide covers what Lanesville's dominant direct exposure actually means, with real examples from across the dataset.