WildfireRiskFinder

Kaufman, TX

Kaufman, TX's wildfire risk, in USFS's own numbers

High
76thpercentile nationally

USFS scores Kaufman at the 76th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 2,900 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Kaufman at the 76th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Where Kaufman's buildings actually sit

2,900Total buildings
28.6%Direct exposure
71.4%Indirect exposure
0%Minimal exposure

2,900 buildings are counted in Kaufman, and 71.4% of them are Indirect exposure — ember-driven risk rather than the 28.6% in Direct exposure or the 0% rated Minimal.

How Kaufman compares

Inside Texas, Kaufman sits at just the 49th percentile even though it scores 76th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Kaufman ranks 7,609 for wildfire risk (1 is highest) and 5,585 by building count (1 is largest). Within Texas alone, it ranks 916 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

What this risk score means for insurance

Kaufman's high rating (76th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Kaufman (71.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Kaufman's figures come from

The methodology guide shows exactly how USFS turned 2,900 counted buildings into the percentiles shown above for Kaufman. The exposure-zones guide covers what Kaufman's dominant indirect exposure actually means, with real examples from across the dataset.