New Weston, OH
New Weston wildfire risk explained
Out of every US place USFS scores, New Weston lands at the 2nd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 107 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Weston at the 2nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
New Weston's building exposure, zone by zone
Most of New Weston's buildings (87.9% of 107) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where New Weston ranks
There's little gap between New Weston's 2nd national percentile and its 10th percentile inside Ohio, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, New Weston ranks 31,031 for wildfire risk (1 is highest) and 28,746 by building count (1 is largest). Within Ohio alone, it ranks 1,136 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
New Weston and the insurance market
New Weston's low wildfire rating (2nd 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.
Lowering exposure, not just insuring around it
With 87.9% of buildings rated Minimal exposure, New Weston 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 Weston's figures come from
Every one of the two percentiles behind New Weston's 31,031-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Weston's dominant minimal exposure actually means, with real examples from across the dataset.