Abbyville, KS
How exposed is Abbyville to wildfire?
USFS scores Abbyville at the 63rd national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 104 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Abbyville at the 55th percentile, close to its 63rd-percentile risk score.
Abbyville's building exposure, zone by zone
Abbyville rates 89.4% Minimal exposure against just 10.6% Direct and 0% Indirect — of 104 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Abbyville against the rest of the country
Abbyville's risk sits at a similar level relative to Kansas (56th percentile statewide) as it does nationally (63rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Abbyville ranks 11,816 for wildfire risk (1 is highest) and 28,844 by building count (1 is largest). Within Kansas alone, it ranks 316 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
Abbyville's 63rd-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Abbyville
With 89.4% of buildings rated Minimal exposure, Abbyville gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Abbyville's figures come from
Abbyville's 63rd-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 Abbyville's dominant minimal exposure actually means, with real examples from across the dataset.