Tippecanoe, IN
Tippecanoe, IN's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Tippecanoe lands at the 7th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 241 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tippecanoe at the 6th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Tippecanoe's building exposure, zone by zone
Direct exposure dominates in Tippecanoe: 66.4% of its 241 buildings, versus 0% Indirect and 33.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Tippecanoe against the rest of the country
Tippecanoe's 44th-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, Tippecanoe ranks 29,464 for wildfire risk (1 is highest) and 23,425 by building count (1 is largest). Within Indiana alone, it ranks 541 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Tippecanoe
At the 7th national percentile, Tippecanoe 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 Tippecanoe
With 66.4% of Tippecanoe in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Tippecanoe's figures come from
The methodology guide shows exactly how USFS turned 241 counted buildings into the percentiles shown above for Tippecanoe. The exposure-zones guide covers what Tippecanoe's dominant direct exposure actually means, with real examples from across the dataset.