Stafford Springs, CT
How exposed is Stafford Springs to wildfire?
USFS scores Stafford Springs at the 28th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,242 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Stafford Springs at the 26th percentile, close to its 28th-percentile risk score.
Stafford Springs's building exposure, zone by zone
55.9% of Stafford Springs's 2,242 buildings sit in USFS's Direct exposure zone, roughly 1,253 structures close enough to burnable vegetation for flame contact, not just embers — 44.1% fall in the Indirect, ember-only zone and 0% are Minimal.
How Stafford Springs compares
Stafford Springs scores 28th nationally and 36th within Connecticut — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Stafford Springs ranks 22,715 for wildfire risk (1 is highest) and 6,832 by building count (1 is largest). Within Connecticut alone, it ranks 140 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
Stafford Springs and the insurance market
Stafford Springs's moderate rating (28th 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
Because Direct exposure dominates in Stafford Springs (55.9%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Stafford Springs's figures come from
The methodology guide shows exactly how USFS turned 2,242 counted buildings into the percentiles shown above for Stafford Springs. The exposure-zones guide covers what Stafford Springs's dominant direct exposure actually means, with real examples from across the dataset.