Park Hill, OK
Park Hill wildfire risk explained
Out of every US place USFS scores, Park Hill lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 2,158 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Park Hill's burn probability — fire likelihood with no building count factored in — sits at the 97th percentile nationally.
Park Hill's building exposure, zone by zone
Direct exposure dominates in Park Hill: 91.9% of its 2,158 buildings, versus 8.1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Park Hill compares
Park Hill scores 96th nationally and 83rd within Oklahoma — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Park Hill ranks 1,393 for wildfire risk (1 is highest) and 7,048 by building count (1 is largest). Within Oklahoma alone, it ranks 142 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Park Hill
At the 96th percentile nationally, Park Hill carries the very 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.
Hardening a home in Park Hill
With 91.9% of Park Hill in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Park Hill's figures come from
Every one of the two percentiles behind Park Hill's 1,393-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Park Hill's dominant direct exposure actually means, with real examples from across the dataset.