WildfireRiskFinder

Ingram, WI

Ingram wildfire risk explained

Low
12thpercentile nationally

Out of every US place USFS scores, Ingram lands at the 12th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 90 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ingram's burn probability — fire likelihood with no building count factored in — sits at the 12th percentile nationally.

What "at risk" means for the buildings here

90Total buildings
71.1%Direct exposure
28.9%Indirect exposure
0%Minimal exposure

71.1% of Ingram's 90 buildings sit in USFS's Direct exposure zone, roughly 64 structures close enough to burnable vegetation for flame contact, not just embers — 28.9% fall in the Indirect, ember-only zone and 0% are Minimal.

Ingram against the rest of the country

Ingram's risk sits at a similar level relative to Wisconsin (10th percentile statewide) as it does nationally (12th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Ingram ranks 27,721 for wildfire risk (1 is highest) and 29,518 by building count (1 is largest). Within Wisconsin alone, it ranks 726 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Shopping for coverage in Ingram

Ingram's low rating (12th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Because Direct exposure dominates in Ingram (71.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Ingram's figures come from

The methodology guide shows exactly how USFS turned 90 counted buildings into the percentiles shown above for Ingram. The exposure-zones guide covers what Ingram's dominant direct exposure actually means, with real examples from across the dataset.