ZIP 52577 Property Distress & Foreclosure Data
Mahaska County, Iowa's ZIP 52577 registers 5/100 composite distress, which DLRadar reads as minimal. The most distinctive pressure shows up in structural risk (11/100), mortgage stress (3/100), institutional ownership (3/100). mortgage stress (3/100) and institutional ownership (3/100) stay muted. Structural exposure scores 11 and live distress 1 on the 0–100 scale.
Prices here sit in a peak phase: values rose 4.0% over the trailing year, and 25% higher over three years, at 23/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.
Home values center near $163,300, an affordability ratio of 2.2× — accessible. Rent burden reaches 33% of tenant households. There are about 6,408 housing units across 52577. DLRadar's demographic-stress index for the area reads 27/100. 14,336 residents call 52577 home, typically aged 39. Vacancy runs 8.5%. 14.9% of residents fall below the poverty threshold. Median household income is $65,589, below the U.S. median near $78,000. Owners hold 66% of homes, renters 34%. Educational attainment sits at 26% bachelor's-or-above.
Overall, 52577 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 52577
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 Mahaska County
Unlock the full ZIP 52577 acquisition report
Get every distressed property in 52577 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology