WildfireRiskFinder

Paw Paw, IL

Paw Paw, IL's wildfire risk, in USFS's own numbers

Low
4thpercentile nationally

Paw Paw's 516 buildings earn a 4th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Paw Paw's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.

Paw Paw's building exposure, zone by zone

516Total buildings
15.1%Direct exposure
0%Indirect exposure
84.9%Minimal exposure

Paw Paw rates 84.9% Minimal exposure against just 15.1% Direct and 0% Indirect — of 516 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Paw Paw against the rest of the country

Paw Paw's 24th-percentile standing inside Illinois outpaces its 4th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Paw Paw ranks 30,280 for wildfire risk (1 is highest) and 17,084 by building count (1 is largest). Within Illinois alone, it ranks 1,103 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.

Shopping for coverage in Paw Paw

At the 4th national percentile, Paw Paw rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Even with 84.9% of Paw Paw outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.

Where Paw Paw's figures come from

Paw Paw's 4th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Paw Paw's dominant minimal exposure actually means, with real examples from across the dataset.