WildfireRiskFinder

Princeton, AR

Princeton wildfire risk explained

Elevated
58thpercentile nationally

Princeton's 31 buildings earn a 58th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Princeton at the 59th percentile, close to its 58th-percentile risk score.

What "at risk" means for the buildings here

31Total buildings
87.1%Direct exposure
12.9%Indirect exposure
0%Minimal exposure

87.1% of Princeton's 31 buildings sit in USFS's Direct exposure zone, roughly 27 structures close enough to burnable vegetation for flame contact, not just embers — 12.9% fall in the Indirect, ember-only zone and 0% are Minimal.

How Princeton compares

Princeton's 58th national percentile looks worse in isolation than its 39th ranking inside Arkansas does — this place is on the milder end for its own state, by 19 points. Among the 31,521 US communities USFS scores, Princeton ranks 13,130 for wildfire risk (1 is highest) and 31,339 by building count (1 is largest). Within Arkansas alone, it ranks 375 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.

Princeton and the insurance market

Princeton's elevated wildfire rating (58th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.

What would actually reduce this score

Because Direct exposure dominates in Princeton (87.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Princeton's figures come from

Princeton's 58th-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 Princeton's dominant direct exposure actually means, with real examples from across the dataset.