WildfireRiskFinder

Mystic, CT

How exposed is Mystic to wildfire?

Low
14thpercentile nationally

Mystic's 2,389 buildings earn a 14th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Mystic at the 13th percentile, close to its 14th-percentile risk score.

What "at risk" means for the buildings here

2,389Total buildings
15%Direct exposure
0.7%Indirect exposure
84.3%Minimal exposure

Most of Mystic's buildings (84.3% of 2,389) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Mystic compares

There's little gap between Mystic's 14th national percentile and its 1st percentile inside Connecticut, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Mystic ranks 26,935 for wildfire risk (1 is highest) and 6,533 by building count (1 is largest). Within Connecticut alone, it ranks 212 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.

Shopping for coverage in Mystic

At the 14th national percentile, Mystic rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

With 84.3% of buildings rated Minimal exposure, Mystic gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Mystic's figures come from

The methodology guide shows exactly how USFS turned 2,389 counted buildings into the percentiles shown above for Mystic. The exposure-zones guide covers what Mystic's dominant minimal exposure actually means, with real examples from across the dataset.