June Park, FL
June Park wildfire risk explained
USFS's Wildfire Risk to Communities model puts June Park at the 90th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 2,670 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, June Park's burn probability — fire likelihood with no building count factored in — sits at the 90th percentile nationally.
Where June Park's buildings actually sit
USFS classifies 56.7% of June Park's buildings as Direct exposure, higher than its 19.3% Indirect share and far above its 24% Minimal share — a profile where 1,515 structures sit close enough to vegetation that lot clearing matters most.
June Park against the rest of the country
June Park scores 90th nationally and 82nd within Florida — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, June Park ranks 3,079 for wildfire risk (1 is highest) and 5,979 by building count (1 is largest). Within Florida alone, it ranks 177 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in June Park
June Park's 90th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in June Park
June Park's 56.7% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where June Park's figures come from
The methodology guide shows exactly how USFS turned 2,670 counted buildings into the percentiles shown above for June Park. The exposure-zones guide covers what June Park's dominant direct exposure actually means, with real examples from across the dataset.