WildfireRiskFinder

Portland, IN

How exposed is Portland to wildfire?

Low
3rdpercentile nationally

Portland's 3,849 buildings earn a 3rd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Portland at the 3rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

3,849Total buildings
7.4%Direct exposure
0%Indirect exposure
92.6%Minimal exposure

Most of Portland's buildings (92.6% of 3,849) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

Where Portland ranks

Compare Portland's two percentiles: 20th within Indiana, only 3rd nationally — a gap of 17 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Portland ranks 30,665 for wildfire risk (1 is highest) and 4,381 by building count (1 is largest). Within Indiana alone, it ranks 781 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Shopping for coverage in Portland

At the 3rd national percentile, Portland 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 Portland

Even with 92.6% of Portland 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 Portland's figures come from

The methodology guide shows exactly how USFS turned 3,849 counted buildings into the percentiles shown above for Portland. The exposure-zones guide covers what Portland's dominant minimal exposure actually means, with real examples from across the dataset.