North Newton, KS
How exposed is North Newton to wildfire?
USFS's Wildfire Risk to Communities model puts North Newton at the 41st national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 655 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks North Newton at the 37th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where North Newton's buildings actually sit
USFS classifies 89.3% of North Newton's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 10.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where North Newton ranks
North Newton's 41st national percentile looks worse in isolation than its 17th ranking inside Kansas does — this place is on the milder end for its own state, by 24 points. Among the 31,521 US communities USFS scores, North Newton ranks 18,718 for wildfire risk (1 is highest) and 15,129 by building count (1 is largest). Within Kansas alone, it ranks 598 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
North Newton and the insurance market
North Newton's elevated wildfire rating (41st 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
North Newton's 89.3% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where North Newton's figures come from
The methodology guide shows exactly how USFS turned 655 counted buildings into the percentiles shown above for North Newton. The exposure-zones guide covers what North Newton's dominant minimal exposure actually means, with real examples from across the dataset.