Old Brookville, NY
How exposed is Old Brookville to wildfire?
USFS's Wildfire Risk to Communities model puts Old Brookville at the 34th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 1,210 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Old Brookville's burn probability — fire likelihood with no building count factored in — sits at the 35th percentile nationally.
Old Brookville's building exposure, zone by zone
85.5% of Old Brookville's 1,210 buildings sit in USFS's Direct exposure zone, roughly 1,035 structures close enough to burnable vegetation for flame contact, not just embers — 12.1% fall in the Indirect, ember-only zone and 2.4% are Minimal.
How Old Brookville compares
Compare Old Brookville's two percentiles: 73rd within New York, only 34th nationally — a gap of 39 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Old Brookville ranks 20,831 for wildfire risk (1 is highest) and 10,591 by building count (1 is largest). Within New York alone, it ranks 348 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Old Brookville
At the 34th national percentile, Old Brookville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Old Brookville's 85.5% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Old Brookville's figures come from
Old Brookville's 34th-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 Old Brookville's dominant direct exposure actually means, with real examples from across the dataset.