Pleasant Ridge, MI
Pleasant Ridge, MI's wildfire risk, in USFS's own numbers
Pleasant Ridge's 1,306 buildings earn a 4th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pleasant Ridge at the 5th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Pleasant Ridge's buildings actually sit
Pleasant Ridge rates 93.7% Minimal exposure against just 6.3% Direct and 0% Indirect — of 1,306 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Pleasant Ridge against the rest of the country
There's little gap between Pleasant Ridge's 4th national percentile and its 9th percentile inside Michigan, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Pleasant Ridge ranks 30,294 for wildfire risk (1 is highest) and 10,046 by building count (1 is largest). Within Michigan alone, it ranks 682 of 745 places by risk. See the full county-by-county picture for Michigan on its state page.
Shopping for coverage in Pleasant Ridge
At the 4th national percentile, Pleasant Ridge 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 93.7% of buildings rated Minimal exposure, Pleasant Ridge gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Pleasant Ridge's figures come from
Every one of the two percentiles behind Pleasant Ridge's 30,294-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pleasant Ridge's dominant minimal exposure actually means, with real examples from across the dataset.