ZIP 46033 Property Distress & Foreclosure Data

ZIP code 46033 in Hamilton County, Indiana carries a composite property-distress score of 22/100 — a low reading on DLRadar's deterministic public-record index. Structural risk reads 48/100 against active distress of 1/100. What sets it apart are the readings on construction/permit lag (62/100), structural risk (48/100), institutional ownership (7/100). institutional ownership (7/100) and mortgage stress (3/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (91/100).

Prices here sit in a peak phase: values rose 4.1% over the trailing year, and 18% higher over three years, at 27/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

87% of housing is owner-occupied. At $150,529, median income runs above typical U.S. levels. The typical home is worth about $487,100 (3.0× income, relatively affordable). Vacancy runs 3.1%. 40,153 residents call 46033 home, typically aged 42. Rent burden reaches 38% of tenant households. The poverty rate is 2.3% — low. The demographic-stress sub-score lands at 21/100. There are about 15,032 housing units across 46033. Around 72% of adults hold a bachelor's degree or higher.

On balance, 46033 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.

22/100
Composite stress
48/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 46033

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk91
+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 Hamilton County

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Deterministic. Every signal traces to a public dataset · methodology