ZIP 46540 Property Distress & Foreclosure Data

Composite property distress in 46540 (Elkhart County, Indiana) lands at 17/100 — low on DLRadar's public-record scoring. The sharpest non-environmental signals are structural risk (38/100), construction/permit lag (15/100), institutional ownership (13/100). institutional ownership (13/100) and mortgage stress (7/100) stay muted. The latent-versus-live split is 38/100 structural and 2/100 already moving. Climate and flood risk are elevated too — climate & FEMA risk (79/100).

Prices here sit in a expansion phase: values rose 5.3% over the trailing year, and 10% higher over three years (phase confidence 41/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Around 19% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 25/100. The poverty rate is 6.2% — low. The ZIP holds roughly 4,335 housing units. The vacancy rate is 7.0%. 13,239 residents call 46540 home, typically aged 32. At $99,664, median income runs above typical U.S. levels. 88% of housing is owner-occupied. Around 19% of renters are cost-burdened. The typical home is worth about $313,700 (3.0× income, relatively affordable).

On balance, 46540 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.

17/100
Composite stress
38/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 46540

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk79
+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 Elkhart County

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Deterministic. Every signal traces to a public dataset · methodology