Princeton, NE
Princeton, NE's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Princeton lands at the 65th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 45 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Princeton's burn probability — fire likelihood with no building count factored in — sits at the 57th percentile nationally.
Princeton's building exposure, zone by zone
Only 13.3% of Princeton's 45 buildings carry Direct exposure and 0% carry Indirect; the remaining 86.7% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Princeton against the rest of the country
There's little gap between Princeton's 65th national percentile and its 57th percentile inside Nebraska, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Princeton ranks 11,129 for wildfire risk (1 is highest) and 31,051 by building count (1 is largest). Within Nebraska alone, it ranks 249 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Princeton and the insurance market
At the 65th percentile nationally, Princeton carries the 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 Princeton
Princeton's 86.7% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Princeton's figures come from
The methodology guide shows exactly how USFS turned 45 counted buildings into the percentiles shown above for Princeton. The exposure-zones guide covers what Princeton's dominant minimal exposure actually means, with real examples from across the dataset.