WildfireRiskFinder

Pulaski, IN

How exposed is Pulaski to wildfire?

Low
1stpercentile nationally

USFS scores Pulaski at the 1st national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 122 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Pulaski'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

122Total buildings
33.6%Direct exposure
0%Indirect exposure
66.4%Minimal exposure

USFS classifies 66.4% of Pulaski's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 33.6% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Pulaski against the rest of the country

Pulaski scores 1st nationally and 9th 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, Pulaski ranks 31,140 for wildfire risk (1 is highest) and 28,057 by building count (1 is largest). Within Indiana alone, it ranks 880 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Pulaski and the insurance market

At the 1st national percentile, Pulaski rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Pulaski's 66.4% 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 Pulaski's figures come from

Every one of the two percentiles behind Pulaski's 31,140-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pulaski's dominant minimal exposure actually means, with real examples from across the dataset.