Englewood, KS
Englewood, KS's wildfire risk, in USFS's own numbers
Englewood's 143 buildings earn a 98th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Englewood at the 99th percentile, close to its 98th-percentile risk score.
What "at risk" means for the buildings here
Most of Englewood's buildings (53.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Englewood ranks
Englewood's risk sits at a similar level relative to Kansas (99th percentile statewide) as it does nationally (98th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Englewood ranks 698 for wildfire risk (1 is highest) and 27,155 by building count (1 is largest). Within Kansas alone, it ranks 6 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Englewood and the insurance market
Englewood's 98th-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.
What would actually reduce this score
With ember exposure the dominant pattern in Englewood (53.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Englewood's figures come from
Englewood's 98th-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 Englewood's dominant indirect exposure actually means, with real examples from across the dataset.