WildfireRiskFinder

Holland, MA

Holland wildfire risk explained

Moderate
29thpercentile nationally

USFS scores Holland at the 29th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 1,141 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Holland's burn probability — fire likelihood with no building count factored in — sits at the 26th percentile nationally.

What "at risk" means for the buildings here

1,141Total buildings
84.3%Direct exposure
5.4%Indirect exposure
10.3%Minimal exposure

Direct exposure dominates in Holland: 84.3% of its 1,141 buildings, versus 5.4% Indirect and 10.3% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Holland compares

Compare Holland's two percentiles: 70th within Massachusetts, only 29th nationally — a gap of 42 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Holland ranks 22,500 for wildfire risk (1 is highest) and 11,008 by building count (1 is largest). Within Massachusetts alone, it ranks 74 of 248 places by risk. See the full county-by-county picture for Massachusetts on its state page.

What this risk score means for insurance

Holland's moderate rating (29th 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 Holland

Because Direct exposure dominates in Holland (84.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Holland's figures come from

Holland's 29th-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 Holland's dominant direct exposure actually means, with real examples from across the dataset.