WildfireRiskFinder

Poland, IN

Poland wildfire risk explained

Low
16thpercentile nationally

USFS's Wildfire Risk to Communities model puts Poland at the 16th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 141 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Poland's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.

What "at risk" means for the buildings here

141Total buildings
68.8%Direct exposure
23.4%Indirect exposure
7.8%Minimal exposure

USFS classifies 68.8% of Poland's buildings as Direct exposure, higher than its 23.4% Indirect share and far above its 7.8% Minimal share — a profile where 97 structures sit close enough to vegetation that lot clearing matters most.

How Poland compares

Compare Poland's two percentiles: 70th within Indiana, only 16th nationally — a gap of 54 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Poland ranks 26,527 for wildfire risk (1 is highest) and 27,246 by building count (1 is largest). Within Indiana alone, it ranks 293 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

What this risk score means for insurance

Poland's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Poland

Poland's 68.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.

Where Poland's figures come from

Every one of the two percentiles behind Poland's 26,527-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Poland's dominant direct exposure actually means, with real examples from across the dataset.