WildfireRiskFinder

Inwood, NY

Inwood wildfire risk explained

Elevated
44thpercentile nationally

Inwood sits at the 44th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 2,724 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Inwood at the 40th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.

Inwood's building exposure, zone by zone

2,724Total buildings
0.6%Direct exposure
0%Indirect exposure
99.4%Minimal exposure

Inwood rates 99.4% Minimal exposure against just 0.6% Direct and 0% Indirect — of 2,724 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Inwood ranks

Compare Inwood's two percentiles: 89th within New York, only 44th nationally — a gap of 45 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Inwood ranks 17,781 for wildfire risk (1 is highest) and 5,891 by building count (1 is largest). Within New York alone, it ranks 146 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Shopping for coverage in Inwood

Inwood's elevated rating (44th 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

Inwood's 99.4% 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 Inwood's figures come from

The methodology guide shows exactly how USFS turned 2,724 counted buildings into the percentiles shown above for Inwood. The exposure-zones guide covers what Inwood's dominant minimal exposure actually means, with real examples from across the dataset.