Taylor, ND
Taylor, ND's wildfire risk, in USFS's own numbers
Taylor sits at the 39th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 213 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Taylor at the 36th national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Taylor's building exposure, zone by zone
75.1% of Taylor's 213 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 24.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Taylor compares
Inside North Dakota, Taylor sits at just the 23rd percentile even though it scores 39th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Taylor ranks 19,231 for wildfire risk (1 is highest) and 24,373 by building count (1 is largest). Within North Dakota alone, it ranks 308 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.
Shopping for coverage in Taylor
At the 39th national percentile, Taylor 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
With ember exposure the dominant pattern in Taylor (75.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Taylor's figures come from
The methodology guide shows exactly how USFS turned 213 counted buildings into the percentiles shown above for Taylor. The exposure-zones guide covers what Taylor's dominant indirect exposure actually means, with real examples from across the dataset.