WildfireRiskFinder

Ayr, ND

Ayr, ND's wildfire risk, in USFS's own numbers

Moderate
39thpercentile nationally

USFS's Wildfire Risk to Communities model puts Ayr at the 39th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 58 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Ayr at the 37th percentile, close to its 39th-percentile risk score.

Ayr's building exposure, zone by zone

58Total buildings
17.2%Direct exposure
0%Indirect exposure
82.8%Minimal exposure

82.8% of Ayr's 58 buildings sit in USFS's Minimal exposure zone, with only 17.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Ayr against the rest of the country

Ayr's 39th national percentile looks worse in isolation than its 23rd ranking inside North Dakota does — this place is on the milder end for its own state, by 16 points. Among the 31,521 US communities USFS scores, Ayr ranks 19,382 for wildfire risk (1 is highest) and 30,721 by building count (1 is largest). Within North Dakota alone, it ranks 310 of 402 places by risk. See the full county-by-county picture for North Dakota on its state page.

Ayr and the insurance market

Ayr's moderate rating (39th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Ayr

With 82.8% of buildings rated Minimal exposure, Ayr gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Ayr's figures come from

The methodology guide shows exactly how USFS turned 58 counted buildings into the percentiles shown above for Ayr. The exposure-zones guide covers what Ayr's dominant minimal exposure actually means, with real examples from across the dataset.