ZIP 33786 Property Distress & Foreclosure Data

In Pinellas County, Florida, ZIP 33786 scores 32 of 100 for composite distress, a moderate level on DLRadar's public-record index. Environmental exposure also runs high (flood (NFIP) exposure (99/100), FEMA disaster exposure (99/100), climate & FEMA risk (98/100)). On the structural side it scores 69/100, with 9/100 of stress already active. Its standout signals are institutional ownership (75/100), structural risk (69/100), mortgage stress (30/100). On the quiet end sit mortgage stress (30/100).

The peak-phase market in 33786 posted values that held roughly flat over the year, and 10% higher over three years (phase confidence 19/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

94% of housing is owner-occupied. Around 9% of renters are cost-burdened. At $140,417, median income runs above typical U.S. levels. The vacancy rate is 42.6% — elevated. The poverty rate is 8.1%. The demographic-stress sub-score lands at 34/100. Around 59% of adults hold a bachelor's degree or higher. The typical home is worth about $1,053,000 (7.3× income, severely stretched). Population is roughly 1,564 with a median age of 58. The ZIP holds roughly 1,187 housing units.

On the whole, 33786 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

32/100
Composite stress
69/100
Structural risk
9/100
Distress activity

Distress signal breakdown — ZIP 33786

Foreclosure activity0
Mortgage stress30
Climate / FEMA risk98
+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 Pinellas County

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Deterministic. Every signal traces to a public dataset · methodology