New Washington, IN
How exposed is New Washington to wildfire?
USFS's Wildfire Risk to Communities model puts New Washington at the 17th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 556 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Washington's burn probability — fire likelihood with no building count factored in — sits at the 18th percentile nationally.
Where New Washington's buildings actually sit
USFS classifies 48.2% of New Washington's buildings as Direct exposure, higher than its 25.2% Indirect share and far above its 26.6% Minimal share — a profile where 268 structures sit close enough to vegetation that lot clearing matters most.
Where New Washington ranks
Within Indiana, New Washington ranks higher (71st percentile) than it does nationally (17th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, New Washington ranks 26,276 for wildfire risk (1 is highest) and 16,473 by building count (1 is largest). Within Indiana alone, it ranks 279 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
What this risk score means for insurance
New Washington's low wildfire rating (17th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in New Washington
Because Direct exposure dominates in New Washington (48.2%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where New Washington's figures come from
Every one of the two percentiles behind New Washington's 26,276-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Washington's dominant direct exposure actually means, with real examples from across the dataset.