ZIP 75492 Property Distress & Foreclosure Data

ZIP code 75492 in Fannin County, Texas carries a composite property-distress score of 24/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (69/100). The latent-versus-live split is 52/100 structural and 4/100 already moving. What sets it apart are the readings on construction/permit lag (77/100), structural risk (52/100), institutional ownership (32/100). By contrast, institutional ownership (32/100) and mortgage stress (14/100) register low.

The market reads peak — home values rose 1.1% year on year (phase confidence 18/100). Topping markets hide individual distress behind strong averages.

Median household income is $99,500, above the U.S. median near $78,000. The ZIP holds roughly 184 housing units. Around 0% of renters are cost-burdened. Educational attainment sits at 22% bachelor's-or-above. The vacancy rate is 35.5% — elevated. Home values center near $174,300, an affordability ratio of 1.6× — accessible. About 348 people live here, median age 46. DLRadar's demographic-stress index for the area reads 20/100. 2.9% of residents fall below the poverty threshold. Owners hold 76% of homes, renters 24%.

Net-net, 75492 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

24/100
Composite stress
52/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 75492

Foreclosure activity0
Mortgage stress14
Climate / FEMA risk69
+9 more distress dimensions scored for this ZIP

Tax delinquency, institutional ownership, insurance pressure, NFIP/flood, construction lag, price dislocation and auction velocity — plus the 0 individual distressed properties (owner, address, APN, per-property score and exit read) are in the full DLRadar report.

Nearby ZIPs in Fannin County

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Deterministic. Every signal traces to a public dataset · methodology