WildfireRiskFinder

New London, IN

How exposed is New London to wildfire?

Low
9thpercentile nationally

USFS scores New London at the 9th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 160 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, New London's burn probability — fire likelihood with no building count factored in — sits at the 8th percentile nationally.

New London's building exposure, zone by zone

160Total buildings
49.4%Direct exposure
0%Indirect exposure
50.6%Minimal exposure

Most of New London's buildings (50.6% of 160) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How New London compares

Compare New London's two percentiles: 53rd within Indiana, only 9th nationally — a gap of 44 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New London ranks 28,703 for wildfire risk (1 is highest) and 26,426 by building count (1 is largest). Within Indiana alone, it ranks 455 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in New London

New London's low rating (9th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

New London's 50.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where New London's figures come from

The methodology guide shows exactly how USFS turned 160 counted buildings into the percentiles shown above for New London. The exposure-zones guide covers what New London's dominant minimal exposure actually means, with real examples from across the dataset.