Reddick, FL
Reddick wildfire risk explained
USFS's Wildfire Risk to Communities model puts Reddick at the 84th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 316 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Reddick at the 85th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Reddick's buildings actually sit
316 buildings are counted in Reddick, and 92.1% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Reddick compares
Inside Florida, Reddick sits at just the 60th percentile even though it scores 84th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Reddick ranks 5,071 for wildfire risk (1 is highest) and 21,201 by building count (1 is largest). Within Florida alone, it ranks 379 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
What this risk score means for insurance
Reddick's 84th-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.
What would actually reduce this score
Reddick's 92.1% 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 Reddick's figures come from
The methodology guide shows exactly how USFS turned 316 counted buildings into the percentiles shown above for Reddick. The exposure-zones guide covers what Reddick's dominant direct exposure actually means, with real examples from across the dataset.