Lawrenceville, PA
Lawrenceville wildfire risk explained
Out of every US place USFS scores, Lawrenceville lands at the 49th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 350 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lawrenceville's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.
Lawrenceville's building exposure, zone by zone
Most of Lawrenceville's buildings (58.9%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Lawrenceville ranks
Within Pennsylvania, Lawrenceville ranks higher (80th percentile) than it does nationally (49th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lawrenceville ranks 16,087 for wildfire risk (1 is highest) and 20,318 by building count (1 is largest). Within Pennsylvania alone, it ranks 400 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Lawrenceville
Lawrenceville's elevated rating (49th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Lawrenceville
With ember exposure the dominant pattern in Lawrenceville (58.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Lawrenceville's figures come from
The methodology guide shows exactly how USFS turned 350 counted buildings into the percentiles shown above for Lawrenceville. The exposure-zones guide covers what Lawrenceville's dominant indirect exposure actually means, with real examples from across the dataset.