Lake Dalecarlia, IN
How exposed is Lake Dalecarlia to wildfire?
USFS scores Lake Dalecarlia at the 55th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 844 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lake Dalecarlia's burn probability — fire likelihood with no building count factored in — sits at the 57th percentile nationally.
Lake Dalecarlia's building exposure, zone by zone
Only 18.4% of Lake Dalecarlia's 844 buildings carry Direct exposure and 0% carry Indirect; the remaining 81.6% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Lake Dalecarlia compares
Lake Dalecarlia's 99th-percentile standing inside Indiana outpaces its 55th 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, Lake Dalecarlia ranks 14,178 for wildfire risk (1 is highest) and 13,208 by building count (1 is largest). Within Indiana alone, it ranks 9 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Lake Dalecarlia
At the 55th national percentile, Lake Dalecarlia rates elevated 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 Lake Dalecarlia
Lake Dalecarlia's 81.6% 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 Lake Dalecarlia's figures come from
The methodology guide shows exactly how USFS turned 844 counted buildings into the percentiles shown above for Lake Dalecarlia. The exposure-zones guide covers what Lake Dalecarlia's dominant minimal exposure actually means, with real examples from across the dataset.