WildfireRiskFinder

Ringo, KS

Ringo wildfire risk explained

Elevated
57thpercentile nationally

Ringo's 114 buildings earn a 57th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ringo's burn probability — fire likelihood with no building count factored in — sits at the 58th percentile nationally.

Ringo's building exposure, zone by zone

114Total buildings
89.5%Direct exposure
0%Indirect exposure
10.5%Minimal exposure

89.5% of Ringo's 114 buildings sit in USFS's Direct exposure zone, roughly 102 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 10.5% are Minimal.

Where Ringo ranks

There's little gap between Ringo's 57th national percentile and its 47th percentile inside Kansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Ringo ranks 13,392 for wildfire risk (1 is highest) and 28,452 by building count (1 is largest). Within Kansas alone, it ranks 381 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

Ringo's elevated rating (57th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With 89.5% of Ringo 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 Ringo's figures come from

Ringo's 57th-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 Ringo's dominant direct exposure actually means, with real examples from across the dataset.