WildfireRiskFinder

Chili, IN

How exposed is Chili to wildfire?

Low
4thpercentile nationally

USFS scores Chili at the 4th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 91 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Chili at the 4th percentile, close to its 4th-percentile risk score.

What "at risk" means for the buildings here

91Total buildings
46.2%Direct exposure
0%Indirect exposure
53.9%Minimal exposure

Most of Chili's buildings (53.9% of 91) 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.

How Chili compares

Within Indiana, Chili ranks higher (26th percentile) than it does nationally (4th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Chili ranks 30,376 for wildfire risk (1 is highest) and 29,444 by building count (1 is largest). Within Indiana alone, it ranks 713 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Chili and the insurance market

At the 4th national percentile, Chili 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

With 53.9% of buildings rated Minimal exposure, Chili gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Chili's figures come from

Every one of the two percentiles behind Chili's 30,376-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Chili's dominant minimal exposure actually means, with real examples from across the dataset.