Williamsfield, IL
How exposed is Williamsfield to wildfire?
Out of every US place USFS scores, Williamsfield lands at the 6th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 484 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Williamsfield's burn probability — fire likelihood with no building count factored in — sits at the 6th percentile nationally.
Williamsfield's building exposure, zone by zone
Most of Williamsfield's buildings (85.3% of 484) 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.
Where Williamsfield ranks
Williamsfield's 31st-percentile standing inside Illinois outpaces its 6th 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, Williamsfield ranks 29,651 for wildfire risk (1 is highest) and 17,630 by building count (1 is largest). Within Illinois alone, it ranks 992 of 1,445 places by risk. See the full county-by-county picture for Illinois on its state page.
Williamsfield and the insurance market
At the 6th national percentile, Williamsfield 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
With 85.3% of buildings rated Minimal exposure, Williamsfield gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Williamsfield's figures come from
Every one of the two percentiles behind Williamsfield's 29,651-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Williamsfield's dominant minimal exposure actually means, with real examples from across the dataset.