Paxico, KS
How exposed is Paxico to wildfire?
Out of every US place USFS scores, Paxico lands at the 84th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 156 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Paxico at the 82nd percentile, close to its 84th-percentile risk score.
Where Paxico's buildings actually sit
156 buildings are counted in Paxico, and 86.5% of them are Indirect exposure — ember-driven risk rather than the 13.5% in Direct exposure or the 0% rated Minimal.
Paxico against the rest of the country
Paxico scores 84th nationally and 83rd 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, Paxico ranks 5,042 for wildfire risk (1 is highest) and 26,617 by building count (1 is largest). Within Kansas alone, it ranks 123 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Paxico
Paxico's 84th-percentile, very 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.
Lowering exposure, not just insuring around it
Paxico's 86.5% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Paxico's figures come from
Paxico's 84th-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 Paxico's dominant indirect exposure actually means, with real examples from across the dataset.