WildfireRiskFinder

Dorrance, KS

Dorrance wildfire risk explained

Elevated
56thpercentile nationally

Dorrance's 220 buildings earn a 56th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Dorrance's burn probability — fire likelihood with no building count factored in — sits at the 53rd percentile nationally.

What "at risk" means for the buildings here

220Total buildings
20.5%Direct exposure
0%Indirect exposure
79.6%Minimal exposure

USFS classifies 79.6% of Dorrance's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 20.5% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Dorrance against the rest of the country

Dorrance scores 56th nationally and 44th within Kansas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Dorrance ranks 13,898 for wildfire risk (1 is highest) and 24,120 by building count (1 is largest). Within Kansas alone, it ranks 404 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

At the 56th national percentile, Dorrance rates elevated 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 79.6% of buildings rated Minimal exposure, Dorrance gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Dorrance's figures come from

Dorrance's 56th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Dorrance's dominant minimal exposure actually means, with real examples from across the dataset.