Wellington, KS
How exposed is Wellington to wildfire?
Out of every US place USFS scores, Wellington lands at the 51st percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 4,909 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wellington at the 45th national percentile — 6 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
93.8% of Wellington's 4,909 buildings sit in USFS's Minimal exposure zone, with only 6.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Wellington ranks
Inside Kansas, Wellington sits at just the 34th percentile even though it scores 51st nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Wellington ranks 15,346 for wildfire risk (1 is highest) and 3,483 by building count (1 is largest). Within Kansas alone, it ranks 475 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
What this risk score means for insurance
Wellington's elevated rating (51st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Wellington's 93.8% 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 Wellington's figures come from
Every one of the two percentiles behind Wellington's 15,346-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wellington's dominant minimal exposure actually means, with real examples from across the dataset.