WildfireRiskFinder

Rockport, IL

Rockport wildfire risk explained

Moderate
35thpercentile nationally

USFS's Wildfire Risk to Communities model puts Rockport at the 35th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 88 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 Rockport at the 37th percentile, close to its 35th-percentile risk score.

What "at risk" means for the buildings here

88Total buildings
39.8%Direct exposure
60.2%Indirect exposure
0%Minimal exposure

USFS puts 60.2% of Rockport's 88 buildings in the Indirect exposure zone, versus 39.8% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Rockport compares

Within Illinois, Rockport ranks higher (87th percentile) than it does nationally (35th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Rockport ranks 20,444 for wildfire risk (1 is highest) and 29,567 by building count (1 is largest). Within Illinois alone, it ranks 190 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Rockport and the insurance market

At the 35th national percentile, Rockport 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 Rockport (60.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Rockport's figures come from

The methodology guide shows exactly how USFS turned 88 counted buildings into the percentiles shown above for Rockport. The exposure-zones guide covers what Rockport's dominant indirect exposure actually means, with real examples from across the dataset.