Newberry, IN
How exposed is Newberry to wildfire?
Newberry sits at the 10th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 179 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Newberry at the 10th 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
Indirect exposure is dominant in Newberry (59.8% of 179 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 40.2% sit in the Direct zone.
Where Newberry ranks
Newberry's 55th-percentile standing inside Indiana outpaces its 10th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Newberry ranks 28,518 for wildfire risk (1 is highest) and 25,668 by building count (1 is largest). Within Indiana alone, it ranks 442 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Newberry
At the 10th national percentile, Newberry 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 Newberry
With ember exposure the dominant pattern in Newberry (59.8% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Newberry's figures come from
Every one of the two percentiles behind Newberry's 28,518-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Newberry's dominant indirect exposure actually means, with real examples from across the dataset.