Pratt, KS
Pratt, KS's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Pratt at the 63rd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 4,166 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pratt at the 56th national percentile — 7 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Pratt's buildings actually sit
USFS classifies 86.7% of Pratt's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 5.9% Direct and 7.4% Indirect — a landscape-level risk rather than a building-by-building one.
How Pratt compares
There's little gap between Pratt's 63rd national percentile and its 57th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Pratt ranks 11,565 for wildfire risk (1 is highest) and 4,084 by building count (1 is largest). Within Kansas alone, it ranks 306 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Pratt
Pratt'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.
What would actually reduce this score
Even with 86.7% of Pratt outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Pratt's figures come from
Pratt'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 Pratt's dominant minimal exposure actually means, with real examples from across the dataset.