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County and ZIP distress scoring, cycle phase, and the day's opportunities.

Webster County, LA: Foreclosures, Tax Liens & Distressed Properties

Every ZIP in Webster County, Louisiana carries a DLRadar distress score assembled from foreclosure, tax, mortgage and lender records. ZIP-level distress ranges from 29/100 at the top down to 19/100. DLRadar scores 12 ZIPs here, with a mean composite of 26/100. Bank/credit headwind for the county is 47 on a 0–100 scale, a moderate reading.

In its peak phase, Webster County home prices rose 2.2% across the last year, at 14/100 phase confidence. This late in the run, the average masks the outliers as the ZIP scores below show.

Near the cycle top at +2.2% YoY (14/100 confidence), the wins are surgical — target the few ZIPs carrying distress. A mid-cycle 47/100 lender reading implies both signal sets in play here.

Highest scores land in 71067 (29/100), 71021 (28/100), 71072 (28/100), 71073 (28/100), 71055 (27/100), 71018 (25/100); each opens to a full parcel breakdown. Other tracked Webster County ZIPs include 71023, 71024, 71039, 71071, 71075, 71038.

Demographically, Webster County's tracked footprint show poverty running near 27.4%, an owner-occupied share of 74%, incomes around $37,389, median home values around $111,808 (below the national figure), 21.5% of units sitting vacant, residents with a median age around 41.2. Numbers like these set up how much distress reaches the market and how fast it moves.

Webster County, Louisiana's 26/100 average over 12 ZIPs says Webster County is a screen-by-ZIP market for a disciplined buyer. Inside DLRadar, each Webster County property carries owner and contact detail, APN, scoring, lienholder detail and an estimated exit speed.

No county is too small to score: Webster County, Louisiana runs through the same foreclosure, tax, lien and bank-stress model as every major metro, so Webster County's numbers mean exactly what they mean anywhere else in Louisiana.

Treat Webster County, Louisiana as a ranked list, not a single market: the spread between its strongest and weakest ZIPs is where the acquisition margin actually sits. Provenance for Webster County is explicit: recorders and courts for filings, FHFA for prices, FDIC for lenders. No interpolation, no synthetic values.

The ZIP breakdown for Webster County leads with 71067 (29/100), 71021 (28/100), 71072 (28/100), 71073 (28/100), 71055 (27/100), 71018 (25/100). DLRadar also scores 71023, 71024, 71039, 71071, 71075, 71038 across the county. Because each ZIP is graded on its own foreclosure, tax and lender record, the county's distress is best read code by code rather than as a single number.

The Webster County score is not a single measure but a composite: foreclosure activity, mortgage and tax-lien stress, and local lender headwind each feed it, which is why understanding the components matters as much as the headline number.

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Peak
Market phase
2.2%
HPI YoY
0%
Drawdown
14
Confidence
Live sampleSample: distressed properties in Webster County ZIPs
ZIPStateDistress score🔒 Owner🔒 Property Address🔒 Parcel ID
71067LA29
71021LA28
71072LA28
71073LA28
71055LA27
71018LA25
71023LA25
71024LA25
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Where distress concentrates in Webster County

Open the full Webster County deal list

Each Webster County parcel comes with owner, address, APN, distress score, bank-stress context and a path from offer to funding to close.

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Locate the opportunity. Back it. Finish it.

This is one layer of DLRadar - the operating system for real-estate acquisitions. It surfaces distressed opportunities, ranks them, connects you to capital, and organizes the work from signal to closing.

Browse every module with live data. Exports and record-level detail (owner, contact, parcel ID) require a subscription. One 60-minute exploration per customer, no card, never auto-billed.

STEP 1
Watch the live queue
STEP 2
Filter to what fits
STEP 3
Draft the acquisition packet
STEP 4
Line up the lender
Same model in every county Public data sources only Blank where a signal is missing Open methodology, published

What else sits behind this data

Work from the top down: cycle, then credit, then coverage, then the individual property and who owns it.

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