WildfireRiskFinder

Ingalls, IN

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

Low
6thpercentile nationally

Ingalls's 1,253 buildings earn a 6th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ingalls's burn probability — fire likelihood with no building count factored in — sits at the 6th percentile nationally.

Ingalls's building exposure, zone by zone

1,253Total buildings
20.8%Direct exposure
0%Indirect exposure
79.3%Minimal exposure

79.3% of Ingalls's 1,253 buildings sit in USFS's Minimal exposure zone, with only 20.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Ingalls ranks

Within Indiana, Ingalls ranks higher (42nd percentile) than it does nationally (6th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Ingalls ranks 29,592 for wildfire risk (1 is highest) and 10,330 by building count (1 is largest). Within Indiana alone, it ranks 563 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

Ingalls and the insurance market

At the 6th national percentile, Ingalls 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 79.3% of buildings rated Minimal exposure, Ingalls gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Ingalls's figures come from

Ingalls's 6th-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 Ingalls's dominant minimal exposure actually means, with real examples from across the dataset.