Madill, OK
How exposed is Madill to wildfire?
USFS scores Madill at the 86th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 2,071 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Madill at the 87th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Madill's buildings actually sit
USFS puts 76.8% of Madill's 2,071 buildings in the Indirect exposure zone, versus 23.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Madill ranks
Madill ranks lower within Oklahoma (35th percentile statewide) than its 86th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Madill ranks 4,327 for wildfire risk (1 is highest) and 7,285 by building count (1 is largest). Within Oklahoma alone, it ranks 546 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Madill and the insurance market
At the 86th percentile nationally, Madill 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 Madill
Madill's 76.8% 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 Madill's figures come from
Madill's 86th-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 Madill's dominant indirect exposure actually means, with real examples from across the dataset.