New Market, IN
How exposed is New Market to wildfire?
New Market sits at the 3rd 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 386 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts New Market at the 3rd percentile, close to its 3rd-percentile risk score.
Where New Market's buildings actually sit
USFS classifies 86.3% of New Market's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
New Market against the rest of the country
Compare New Market's two percentiles: 24th within Indiana, only 3rd nationally — a gap of 21 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Market ranks 30,480 for wildfire risk (1 is highest) and 19,491 by building count (1 is largest). Within Indiana alone, it ranks 738 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
New Market and the insurance market
At the 3rd national percentile, New Market rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 86.3% of buildings rated Minimal exposure, New Market gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where New Market's figures come from
Every one of the two percentiles behind New Market's 30,480-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Market's dominant minimal exposure actually means, with real examples from across the dataset.