Guilford Center, CT
How exposed is Guilford Center to wildfire?
Guilford Center sits at the 29th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,502 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Guilford Center's burn probability — fire likelihood with no building count factored in — sits at the 30th percentile nationally.
Guilford Center's building exposure, zone by zone
1,502 buildings are counted in Guilford Center, and 63.2% of them are Indirect exposure — ember-driven risk rather than the 28.2% in Direct exposure or the 8.6% rated Minimal.
Where Guilford Center ranks
Guilford Center's risk sits at a similar level relative to Connecticut (41st percentile statewide) as it does nationally (29th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Guilford Center ranks 22,241 for wildfire risk (1 is highest) and 9,165 by building count (1 is largest). Within Connecticut alone, it ranks 126 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
What this risk score means for insurance
Guilford Center's moderate rating (29th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Guilford Center
Because 63.2% of Guilford Center's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Guilford Center's figures come from
Guilford Center's 29th-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 Guilford Center's dominant indirect exposure actually means, with real examples from across the dataset.