WildfireRiskFinder

Spokane, LA

How exposed is Spokane to wildfire?

Elevated
41stpercentile nationally

Spokane's 634 buildings earn a 41st-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Spokane's burn probability — fire likelihood with no building count factored in — sits at the 41st percentile nationally.

Where Spokane's buildings actually sit

634Total buildings
64.8%Direct exposure
24.3%Indirect exposure
10.9%Minimal exposure

USFS classifies 64.8% of Spokane's buildings as Direct exposure, higher than its 24.3% Indirect share and far above its 10.9% Minimal share — a profile where 411 structures sit close enough to vegetation that lot clearing matters most.

Spokane against the rest of the country

Spokane's risk sits at a similar level relative to Louisiana (39th percentile statewide) as it does nationally (41st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Spokane ranks 18,745 for wildfire risk (1 is highest) and 15,416 by building count (1 is largest). Within Louisiana alone, it ranks 296 of 488 places by risk. See the full county-by-county picture for Louisiana on its state page.

Shopping for coverage in Spokane

At the 41st national percentile, Spokane rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Spokane (64.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Spokane's figures come from

Every one of the two percentiles behind Spokane's 18,745-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Spokane's dominant direct exposure actually means, with real examples from across the dataset.