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Distressed Properties in Montana

Finding distressed properties in Montana starts with knowing which markets are turning. All 56 Montana counties are graded on foreclosure, lender and insurance pressure — the leading drivers of distressed supply. 3 of Montana's counties sit in contraction or recovery — the part of the cycle where distressed inventory forms first, against a statewide average home-price move of +2.1% year over year.

In Montana, distress can be a foreclosure filing, a tax delinquency, an uninsurable home, or a credit-starved market — rarely just one. DLRadar scores all three lenses deterministically from public records — foreclosure and tax data by county, FDIC bank stress, and FEMA/NFIP insurance distress — so you can triangulate real motivation instead of chasing a single list.

Finding the Montana property is step one; scoring it, funding it and closing it all happen in the same platform.

If you work one part of Montana first, make it Broadwater, Jefferson, Lewis And Clark, where prices have already softened. The full Montana table follows, sorted by where each county sits in the price cycle.

Statewide gauges put Montana at 58/100 for lender stress and 8/100 for insurance distress.

All Montana numbers on this page are auditable, drawn from FHFA/county records, FDIC filings and FEMA/NFIP data — no estimates. No interpolation is applied; an absent signal is left absent.

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Counties tracked
56
Markets softening
3
contraction / recovery
Avg home price
+2.1%
YoY
Avg bank stress
58/100
Live sampleSample: Montana distressed properties by county
CountyStatePhaseBank stress🔒 Property🔒 Owner
Broadwater CountyMontanaContraction58/100
Jefferson CountyMontanaContraction58/100
Lewis And Clark CountyMontanaContraction58/100
Gallatin CountyMontanaNeutral58/100
Mineral CountyMontanaPeak58/100
Missoula CountyMontanaPeak58/100
Fergus CountyMontanaPeak58/100
Carter CountyMontanaPeak58/100
Garfield CountyMontanaPeak58/100
Dawson CountyMontanaPeak58/100
Deer Lodge CountyMontanaPeak58/100
Fallon CountyMontanaPeak58/100
Daniels CountyMontanaPeak58/100
Blaine CountyMontanaPeak58/100
Big Horn CountyMontanaPeak58/100
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The three distress lenses in Montana

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

Montana counties to watch

Cycle stage decides the order here; softening counties lead.

From Montana distress signal to closed deal

The same platform that surfaces the Montana property also underwrites, funds and closes it.

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

Distressed properties in Montana — FAQ

How do I find distressed properties in Montana?

Begin where prices have rolled over: 3 of the 56 scored Montana counties. From that shortlist you can move to ZIP-level distress and then to individual pre-foreclosure or tax-delinquent parcels.

What makes a property "distressed" in Montana?

Distress in Montana takes several forms: foreclosure filings, delinquent taxes, unaffordable coverage, and lender withdrawal. Because they are scored separately from public records, you can see which properties carry two or three at once.

Is Montana distress data based on public records?

It is. The Montana scoring runs on FHFA price data, county records, FDIC call reports and FEMA/NFIP filings, all publicly available and all reproducible.

Can I fund and close a Montana deal through DLRadar?

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

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Track the distress. Source funding. Reach closing.

What makes a signal useful is what comes after it -- verification, ownership, funding, close. That is the rest of DLRadar.

Open every module and read it. What stays behind the plan is the identifying detail - owner, contact, parcel ID - and the exports. One trial per customer, no card, no auto-billing.

STEP 1
Scan the day board
STEP 2
Choose what holds up
STEP 3
Build the submission
STEP 4
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Real product screenshots No estimates where data is missing Every score traces to a public record Open methodology, published

Other reads worth pulling

Read these together. Market cycle sets the backdrop, bank and insurance stress predict supply, and ZIP detail tells you where to buy.

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