Protection, KS
How exposed is Protection to wildfire?
Protection sits at the 98th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 474 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Protection's burn probability — fire likelihood with no building count factored in — sits at the 98th percentile nationally.
What "at risk" means for the buildings here
Indirect exposure is dominant in Protection (82.3% of 474 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 17.7% sit in the Direct zone.
Protection against the rest of the country
Protection'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, Protection ranks 603 for wildfire risk (1 is highest) and 17,810 by building count (1 is largest). Within Kansas alone, it ranks 5 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 98th percentile nationally, Protection carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Protection
Because 82.3% of Protection's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Protection's figures come from
Protection'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 Protection's dominant indirect exposure actually means, with real examples from across the dataset.