Leiters Ford, IN
Leiters Ford wildfire risk explained
Out of every US place USFS scores, Leiters Ford lands at the 3rd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 186 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Leiters Ford at the 3rd national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Leiters Ford's buildings actually sit
Leiters Ford rates 64.5% Minimal exposure against just 35.5% Direct and 0% Indirect — of 186 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Leiters Ford ranks
Compare Leiters Ford's two percentiles: 23rd within Indiana, only 3rd nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Leiters Ford ranks 30,513 for wildfire risk (1 is highest) and 25,386 by building count (1 is largest). Within Indiana alone, it ranks 748 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Leiters Ford
At the 3rd national percentile, Leiters Ford rates low 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
Even with 64.5% of Leiters Ford outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Leiters Ford's figures come from
The methodology guide shows exactly how USFS turned 186 counted buildings into the percentiles shown above for Leiters Ford. The exposure-zones guide covers what Leiters Ford's dominant minimal exposure actually means, with real examples from across the dataset.