ZIP 47933 Property Distress & Foreclosure Data

ZIP code 47933 in Montgomery County, Indiana carries a composite property-distress score of 17/100 — a low reading on DLRadar's deterministic public-record index. Structural risk reads 37/100 against active distress of 5/100. It additionally carries heavy environmental risk: FEMA disaster exposure (63/100). What sets it apart are the readings on institutional ownership (46/100), structural risk (37/100), mortgage stress (17/100). By contrast, structural risk (37/100) and mortgage stress (17/100) register low.

The market reads peak — home values rose 4.4% year on year, and 18% higher over three years, at 32/100 phase confidence. Topping markets hide individual distress behind strong averages.

Vacancy runs 6.2%. DLRadar's demographic-stress index for the area reads 28/100. About 28,227 people live here, median age 40. Owners hold 75% of homes, renters 25%. There are about 12,342 housing units across 47933. Median household income is $61,968, below the U.S. median near $78,000. Home values center near $180,900, an affordability ratio of 2.9× — accessible. Educational attainment sits at 20% bachelor's-or-above. 13.5% of residents fall below the poverty threshold. Rent burden reaches 34% of tenant households.

Net-net, 47933 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

17/100
Composite stress
37/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 47933

Foreclosure activity0
Mortgage stress17
Climate / FEMA risk43
+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 Montgomery County

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Deterministic. Every signal traces to a public dataset · methodology