Lindsay, OK
Lindsay, OK's wildfire risk, in USFS's own numbers
Lindsay's 2,026 buildings earn a 85th-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.)
Separately from the risk score above, Lindsay's burn probability — fire likelihood with no building count factored in — sits at the 85th percentile nationally.
Where Lindsay's buildings actually sit
89.4% of Lindsay's 2,026 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 9.6% Direct and 1% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Lindsay against the rest of the country
Lindsay's 85th national percentile looks worse in isolation than its 32nd ranking inside Oklahoma does — this place is on the milder end for its own state, by 53 points. Among the 31,521 US communities USFS scores, Lindsay ranks 4,796 for wildfire risk (1 is highest) and 7,395 by building count (1 is largest). Within Oklahoma alone, it ranks 571 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Lindsay
Lindsay's 85th-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.
Lowering exposure, not just insuring around it
Lindsay's 89.4% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Lindsay's figures come from
The methodology guide shows exactly how USFS turned 2,026 counted buildings into the percentiles shown above for Lindsay. The exposure-zones guide covers what Lindsay's dominant indirect exposure actually means, with real examples from across the dataset.