Stamford, NY
Stamford wildfire risk explained
USFS scores Stamford 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 598 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 Stamford at the 29th percentile, close to its 28th-percentile risk score.
Stamford's building exposure, zone by zone
Direct exposure dominates in Stamford: 58.9% of its 598 buildings, versus 41.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Stamford against the rest of the country
Compare Stamford's two percentiles: 60th within New York, only 28th nationally — a gap of 31 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Stamford ranks 22,542 for wildfire risk (1 is highest) and 15,865 by building count (1 is largest). Within New York alone, it ranks 521 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Stamford and the insurance market
Stamford's moderate wildfire rating (28th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Stamford
With 58.9% of Stamford 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 Stamford's figures come from
Stamford's 28th-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 Stamford's dominant direct exposure actually means, with real examples from across the dataset.