Park City, IL
Park City wildfire risk explained
Park City sits at the 29th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 2,146 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Park City at the 32nd percentile, close to its 29th-percentile risk score.
Park City's building exposure, zone by zone
Only 1.5% of Park City's 2,146 buildings carry Direct exposure and 0% carry Indirect; the remaining 98.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Where Park City ranks
Park City's 79th-percentile standing inside Illinois outpaces its 29th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Park City ranks 22,244 for wildfire risk (1 is highest) and 7,080 by building count (1 is largest). Within Illinois alone, it ranks 310 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Park City and the insurance market
Park City'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.
What would actually reduce this score
With 98.5% of buildings rated Minimal exposure, Park City gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Park City's figures come from
Park City'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 Park City's dominant minimal exposure actually means, with real examples from across the dataset.