Smith Center, KS
Smith Center, KS's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Smith Center at the 27th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,405 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Smith Center's burn probability — fire likelihood with no building count factored in — sits at the 24th percentile nationally.
Smith Center's building exposure, zone by zone
Most of Smith Center's buildings (98.4% of 1,405) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Smith Center against the rest of the country
Smith Center's 27th national percentile looks worse in isolation than its 7th ranking inside Kansas does — this place is on the milder end for its own state, by 20 points. Among the 31,521 US communities USFS scores, Smith Center ranks 22,911 for wildfire risk (1 is highest) and 9,605 by building count (1 is largest). Within Kansas alone, it ranks 670 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Smith Center and the insurance market
Smith Center's moderate rating (27th 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 98.4% of buildings rated Minimal exposure, Smith Center gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Smith Center's figures come from
Every one of the two percentiles behind Smith Center's 22,911-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Smith Center's dominant minimal exposure actually means, with real examples from across the dataset.