Idana, KS
Idana, KS's wildfire risk, in USFS's own numbers
Idana sits at the 70th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 52 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Idana at the 63rd national percentile — 8 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Idana's buildings actually sit
Of Idana's 52 counted buildings, 80.8% carry Direct exposure and only 19.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Idana against the rest of the country
There's little gap between Idana's 70th national percentile and its 68th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Idana ranks 9,386 for wildfire risk (1 is highest) and 30,873 by building count (1 is largest). Within Kansas alone, it ranks 234 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Shopping for coverage in Idana
At the 70th percentile nationally, Idana carries the 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 Idana
With 80.8% of Idana in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Idana's figures come from
The methodology guide shows exactly how USFS turned 52 counted buildings into the percentiles shown above for Idana. The exposure-zones guide covers what Idana's dominant direct exposure actually means, with real examples from across the dataset.