Goulds, FL
Goulds wildfire risk explained
Goulds sits at the 78th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 3,312 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Goulds at the 80th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Goulds's building exposure, zone by zone
Most of Goulds's buildings (78% of 3,312) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Goulds compares
Inside Florida, Goulds sits at just the 42nd percentile even though it scores 78th 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, Goulds ranks 7,022 for wildfire risk (1 is highest) and 5,031 by building count (1 is largest). Within Florida alone, it ranks 551 of 955 places by risk. See the full county-by-county picture for Florida on its state page.
Goulds and the insurance market
At the 78th percentile nationally, Goulds carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Goulds's 78% 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 Goulds's figures come from
Every one of the two percentiles behind Goulds's 7,022-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Goulds's dominant minimal exposure actually means, with real examples from across the dataset.