ZIP 34983 Property Distress & Foreclosure Data

In St Lucie County, Florida, ZIP 34983 scores 35 of 100 for composite distress, a moderate level on DLRadar's public-record index. Its standout signals are structural risk (77/100), construction/permit lag (67/100), institutional ownership (65/100). On the quiet end sit mortgage stress (26/100). Environmental exposure also runs high (climate & FEMA risk (96/100), FEMA disaster exposure (95/100), flood (NFIP) exposure (60/100)). The latent-versus-live split is 77/100 structural and 8/100 already moving.

The contraction-phase market in 34983 posted values that held roughly flat over the year, and 9% higher over three years (phase confidence 24/100). Softening prices widen the spread between distressed and market value — what acquisition buyers watch for.

The vacancy rate is 6.0%. The demographic-stress sub-score lands at 31/100. At $72,787, median income runs near typical U.S. levels. Around 44% of renters are cost-burdened. The typical home is worth about $338,700 (4.0× income). Around 27% of adults hold a bachelor's degree or higher. 84% of housing is owner-occupied. Population is roughly 47,983 with a median age of 41. The poverty rate is 7.6%. The ZIP holds roughly 18,321 housing units.

On the whole, 34983 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.

35/100
Composite stress
77/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 34983

Foreclosure activity0
Mortgage stress26
Climate / FEMA risk96
+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 St Lucie County

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Deterministic. Every signal traces to a public dataset · methodology