Van Etten, NY
How exposed is Van Etten to wildfire?
USFS scores Van Etten at the 23rd national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 401 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 Van Etten at the 23rd percentile, close to its 23rd-percentile risk score.
Where Van Etten's buildings actually sit
Direct exposure dominates in Van Etten: 71.3% of its 401 buildings, versus 28.7% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Van Etten against the rest of the country
Compare Van Etten's two percentiles: 50th within New York, only 23rd nationally — a gap of 26 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Van Etten ranks 24,242 for wildfire risk (1 is highest) and 19,191 by building count (1 is largest). Within New York alone, it ranks 654 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.
Shopping for coverage in Van Etten
Van Etten's moderate wildfire rating (23rd 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.
Lowering exposure, not just insuring around it
Van Etten's 71.3% 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 Van Etten's figures come from
Every one of the two percentiles behind Van Etten's 24,242-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Van Etten's dominant direct exposure actually means, with real examples from across the dataset.