WildfireRiskFinder

Poseyville, IN

Poseyville, IN's wildfire risk, in USFS's own numbers

Low
1stpercentile nationally

Out of every US place USFS scores, Poseyville lands at the 1st percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 718 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Poseyville's burn probability — fire likelihood with no building count factored in — sits at the 1st percentile nationally.

What "at risk" means for the buildings here

718Total buildings
14.2%Direct exposure
0%Indirect exposure
85.8%Minimal exposure

Poseyville rates 85.8% Minimal exposure against just 14.2% Direct and 0% Indirect — of 718 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

How Poseyville compares

Poseyville scores 1st nationally and 4th within Indiana — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Poseyville ranks 31,333 for wildfire risk (1 is highest) and 14,476 by building count (1 is largest). Within Indiana alone, it ranks 931 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Poseyville and the insurance market

At the 1st national percentile, Poseyville 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 Poseyville

Poseyville's 85.8% 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 Poseyville's figures come from

The methodology guide shows exactly how USFS turned 718 counted buildings into the percentiles shown above for Poseyville. The exposure-zones guide covers what Poseyville's dominant minimal exposure actually means, with real examples from across the dataset.