Mashantucket, CT
Mashantucket wildfire risk explained
Out of every US place USFS scores, Mashantucket lands at the 33rd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 218 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mashantucket at the 29th percentile, close to its 33rd-percentile risk score.
What "at risk" means for the buildings here
Of Mashantucket's 218 counted buildings, 85.3% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Where Mashantucket ranks
Within Connecticut, Mashantucket ranks higher (55th percentile) than it does nationally (33rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mashantucket ranks 21,168 for wildfire risk (1 is highest) and 24,186 by building count (1 is largest). Within Connecticut alone, it ranks 97 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
Mashantucket and the insurance market
Mashantucket's moderate rating (33rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 85.3% of Mashantucket 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 Mashantucket's figures come from
The methodology guide shows exactly how USFS turned 218 counted buildings into the percentiles shown above for Mashantucket. The exposure-zones guide covers what Mashantucket's dominant direct exposure actually means, with real examples from across the dataset.