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Distressed Properties in South Dakota

In South Dakota, the distressed-property opportunity begins with the price cycle — which counties have rolled over and which haven't. All 66 South Dakota counties are graded on foreclosure, lender and insurance pressure — the leading drivers of distressed supply. 1 of South Dakota's counties sit in contraction or recovery — the part of the cycle where distressed inventory forms first, with South Dakota home prices averaging +2% year on year.

Start with Union: these South Dakota markets have rolled over and are gathering distress. Every South Dakota county appears below in cycle order, each linking through to its own foreclosure and tax-lien profile.

The upstream picture for South Dakota: 58/100 on the lender side, 17/100 on the carrier side.

In South Dakota, distress can be a foreclosure filing, a tax delinquency, an uninsurable home, or a credit-starved market — rarely just one. All three readings trace to public records, so a property carrying more than one is measurably rather than anecdotally distressed.

Once a South Dakota opportunity surfaces, the same system handles underwriting context, capital sourcing and closing coordination.

All South Dakota numbers on this page are auditable, drawn from FHFA/county records, FDIC filings and FEMA/NFIP data — no estimates. Where a signal is missing, DLRadar leaves it blank instead of inventing it.

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Counties tracked
66
Markets softening
1
contraction / recovery
Avg home price
+2%
YoY
Avg bank stress
58/100
Live sampleSample: South Dakota distressed properties by county
CountyStatePhaseBank stress🔒 Property🔒 Owner
Union CountySouth DakotaContraction58/100
Custer CountySouth DakotaPeak58/100
Meade CountySouth DakotaPeak58/100
Pennington CountySouth DakotaPeak58/100
Lawrence CountySouth DakotaPeak58/100
Codington CountySouth DakotaPeak58/100
Sanborn CountySouth DakotaPeak58/100
Brookings CountySouth DakotaPeak58/100
Hanson CountySouth DakotaPeak58/100
Edmunds CountySouth DakotaPeak58/100
Brown CountySouth DakotaPeak58/100
Clay CountySouth DakotaPeak58/100
Beadle CountySouth DakotaPeak58/100
Davison CountySouth DakotaPeak58/100
Hughes CountySouth DakotaPeak58/100
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The three distress lenses in South Dakota

Any one lens can mislead. Stacked, they show which South Dakota owners actually have a reason to sell.

South Dakota counties to watch

Cycle stage decides the order here; softening counties lead.

From South Dakota distress signal to closed deal

From parcel to closing: scoring, ZIP benchmarking, lender matching and title coordination in one place.

Deterministic. Every signal traces to a public source (FHFA, FDIC, FEMA, NFIP, county records) · methodology

Distressed properties in South Dakota — FAQ

How do I find distressed properties in South Dakota?

The efficient route in South Dakota is cycle-first. 1 counties of 66 are softening; those are the markets where foreclosure and tax-delinquency signals are worth working in detail.

What makes a property "distressed" in South Dakota?

There is no single definition. A South Dakota property may be pre-foreclosure, tax-delinquent, effectively uninsurable, or sitting in a credit-starved market — DLRadar scores each from public filings and looks for overlap.

Is South Dakota distress data based on public records?

Entirely. Price cycle from FHFA and county records, bank stress from FDIC call reports, insurance from FEMA and NFIP — every South Dakota figure can be checked against its source.

Can I fund and close a South Dakota deal through DLRadar?

Yes — once the South Dakota parcel is identified, the platform assembles the offer packet, matches it against the lender database and coordinates title and closing.

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Uncover the parcel. Raise the capital. Close it out.

Consider this the first screen. The platform supplies verification, identity, financing and the path to settlement.

All modules unlock for reading. What a subscription buys is the identifying record detail and the exports. Single trial per customer, no card, no automatic billing.

STEP 1
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STEP 2
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STEP 3
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STEP 4
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Same model in every county Rules-based, not generative Every score traces to a public record Auditable end to end

More layers of DLRadar intelligence

These reads compound. National distress frames it, bank and insurer strain forecast supply, ZIP data locates it.

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