Greens Farms, CT
Greens Farms wildfire risk explained
USFS's Wildfire Risk to Communities model puts Greens Farms at the 20th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 3,066 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Greens Farms at the 21st percentile, close to its 20th-percentile risk score.
Greens Farms's building exposure, zone by zone
61.6% of Greens Farms's 3,066 buildings sit in USFS's Minimal exposure zone, with only 38.5% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Greens Farms against the rest of the country
Greens Farms's risk sits at a similar level relative to Connecticut (9th percentile statewide) as it does nationally (20th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Greens Farms ranks 25,141 for wildfire risk (1 is highest) and 5,333 by building count (1 is largest). Within Connecticut alone, it ranks 195 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
Greens Farms and the insurance market
Greens Farms's moderate rating (20th 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
Greens Farms's 61.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Greens Farms's figures come from
Every one of the two percentiles behind Greens Farms's 25,141-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Greens Farms's dominant minimal exposure actually means, with real examples from across the dataset.