WildfireRiskFinder

Eaton, IN

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

Low
2ndpercentile nationally

USFS's Wildfire Risk to Communities model puts Eaton at the 2nd national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 1,230 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Eaton at the 2nd 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

1,230Total buildings
33.7%Direct exposure
0%Indirect exposure
66.3%Minimal exposure

Most of Eaton's buildings (66.3% of 1,230) 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.

Eaton against the rest of the country

Eaton scores 2nd nationally and 16th 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, Eaton ranks 30,824 for wildfire risk (1 is highest) and 10,469 by building count (1 is largest). Within Indiana alone, it ranks 813 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Eaton and the insurance market

At the 2nd national percentile, Eaton 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

With 66.3% of buildings rated Minimal exposure, Eaton gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Eaton's figures come from

Eaton's 2nd-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Eaton's dominant minimal exposure actually means, with real examples from across the dataset.