Roman Forest, TX
Roman Forest, TX's wildfire risk, in USFS's own numbers
Roman Forest sits at the 67th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 923 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Roman Forest at the 68th percentile, close to its 67th-percentile risk score.
Roman Forest's building exposure, zone by zone
Of Roman Forest's 923 counted buildings, 80.4% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Roman Forest against the rest of the country
Roman Forest ranks lower within Texas (24th percentile statewide) than its 67th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Roman Forest ranks 10,542 for wildfire risk (1 is highest) and 12,534 by building count (1 is largest). Within Texas alone, it ranks 1,368 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Roman Forest
Roman Forest's high rating (67th 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.
Hardening a home in Roman Forest
Because Direct exposure dominates in Roman Forest (80.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Roman Forest's figures come from
Roman Forest's 67th-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 Roman Forest's dominant direct exposure actually means, with real examples from across the dataset.