Indian Village, IN
Indian Village, IN's wildfire risk, in USFS's own numbers
Indian Village sits at the 7th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 66 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Indian Village at the 9th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Indian Village's building exposure, zone by zone
Indian Village rates 68.2% Minimal exposure against just 31.8% Direct and 0% Indirect — of 66 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
How Indian Village compares
Indian Village's 46th-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, Indian Village ranks 29,275 for wildfire risk (1 is highest) and 30,413 by building count (1 is largest). Within Indiana alone, it ranks 520 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Indian Village and the insurance market
At the 7th national percentile, Indian Village 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
Indian Village's 68.2% 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 Indian Village's figures come from
The methodology guide shows exactly how USFS turned 66 counted buildings into the percentiles shown above for Indian Village. The exposure-zones guide covers what Indian Village's dominant minimal exposure actually means, with real examples from across the dataset.