ZIP 53220 Property Distress & Foreclosure Data

ZIP code 53220 in Milwaukee County, Wisconsin carries a composite property-distress score of 34/100 — a moderate reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (98/100), flood (NFIP) exposure (95/100). What sets it apart are the readings on structural risk (75/100), construction/permit lag (58/100), institutional ownership (53/100). By contrast, mortgage stress (20/100) register low. Structural risk reads 75/100 against active distress of 6/100.

The market reads expansion — home values rose 6.0% year on year, and 26% higher over three years, at 35/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

There are about 12,696 housing units across 53220. A median home runs $229,300 here, or 3.2 times local income. Vacancy runs 3.5%. About 27% have a four-year degree. The tenure split is 57% owner-occupied to 43% rented. On demographic stress specifically, 53220 scores 28/100. Households earn a median $69,301 — near the roughly $78,000 national figure. Roughly 10.9% live below the poverty line. About 27,678 people live here, median age 39. Rent burden reaches 25% of tenant households.

Net-net, 53220 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.

34/100
Composite stress
75/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 53220

Foreclosure activity0
Mortgage stress20
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 Milwaukee County

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Deterministic. Every signal traces to a public dataset · methodology