ZIP 76712 Property Distress & Foreclosure Data

In Mclennan County, Texas, ZIP 76712 scores 21 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are structural risk (47/100), institutional ownership (21/100), mortgage stress (9/100). mortgage stress (9/100) and construction/permit lag (9/100) stay muted. On the structural side it scores 47/100, with 3/100 of stress already active. Climate and flood risk are elevated too — climate & FEMA risk (90/100), flood (NFIP) exposure (90/100).

Prices here sit in a neutral phase: values rose 3.2% over the trailing year, and 7% higher over three years (phase confidence 26/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

The poverty rate is 5.8% — low. 28,719 residents call 76712 home, typically aged 40. At $96,267, median income runs above typical U.S. levels. Around 49% of adults hold a bachelor's degree or higher. 70% of housing is owner-occupied. The demographic-stress sub-score lands at 27/100. Around 45% of renters are cost-burdened. The ZIP holds roughly 11,660 housing units. The vacancy rate is 6.8%. The typical home is worth about $340,600 (3.1× income, relatively affordable).

On balance, 76712 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

21/100
Composite stress
47/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 76712

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk90
+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 Mclennan County

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Deterministic. Every signal traces to a public dataset · methodology