Oakland Park, FL
Oakland Park wildfire risk explained
USFS's Wildfire Risk to Communities model puts Oakland Park at the 58th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 12,091 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 Oakland Park at the 62nd percentile, close to its 58th-percentile risk score.
Oakland Park's building exposure, zone by zone
Oakland Park rates 98.9% Minimal exposure against just 1.1% Direct and 0% Indirect — of 12,091 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually. At 12,091 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Oakland Park ranks
Oakland Park's 58th national percentile looks worse in isolation than its 11th ranking inside Florida does — this place is on the milder end for its own state, by 47 points. Among the 31,521 US communities USFS scores, Oakland Park ranks 13,356 for wildfire risk (1 is highest) and 1,289 by building count (1 is largest). Within Florida alone, it ranks 851 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Shopping for coverage in Oakland Park
Oakland Park's elevated rating (58th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Oakland Park
Oakland Park's 98.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Oakland Park's figures come from
The methodology guide shows exactly how USFS turned 12,091 counted buildings into the percentiles shown above for Oakland Park. The exposure-zones guide covers what Oakland Park's dominant minimal exposure actually means, with real examples from across the dataset.