Data & benchmarks

Off-Market Housing Report: A Reproducible Methodology

Off-market inventory isn't tracked in one central database. Here's how to estimate it from public foreclosure, vacancy, and probate records with labeled ranges.

Updated 2026-08-24 · 9 min read · Offr AI

Short answer

'Off-market' housing (distressed, vacant, pre-foreclosure, probate, or absentee-owned properties not listed for sale) isn't tracked in a single public database — it has to be estimated by combining several public sources. Below is the reproducible method and illustrative estimate ranges for how large this pool typically is relative to total housing stock.

Why there's no single "off-market inventory" number

No government agency publishes a unified count of off-market or distressed properties. You have to triangulate from several partial sources — vacancy data, foreclosure filings, probate filings, and absentee-owner tax records — each of which captures a different slice of the off-market pool.

Illustrative off-market inventory estimate ranges by source

SignalPublic sourceEstimate share of housing stock
Vacant housing unitsCensus ACS5%-12% (varies heavily by area)
Pre-foreclosure/foreclosure filings (annual)County clerk / public foreclosure feeds0.2%-0.6%
Absentee/out-of-state owner parcelsCounty assessor records8%-15%
Probate filings (annual)County probate court0.3%-1%

These figures are illustrative estimate ranges, not a measured off-market census — actual overlap between categories (e.g., a vacant probate property) isn't accounted for and would need de-duplication in a real local pull.

How to reproduce this yourself

  1. Pull deed/transfer records from your county recorder or a title company for the ZIP codes or city you're evaluating (many counties publish these free online).
  2. Filter for "double-close" or same-day/short-hold transactions (buyer and seller on the same parcel within 0-30 days) as a rough proxy for wholesale-style flips.
  3. Cross-reference sale prices with an ARV estimate from recent comparable sales (MLS or a public comp tool) to back into estimated spreads.
  4. Pull HUD/Census ACS data for household income, vacancy rate, and rent-to-price ratio by ZIP to gauge investor demand.
  5. Check FHFA House Price Index for the metro to see appreciation trend context.
  6. Cross-check foreclosure/pre-foreclosure filing counts from your county clerk or an ATTOM-style public data feed to estimate distressed-inventory volume.

Limitations

These are estimate ranges, not audited findings. Public deed records don't label a transaction "wholesale deal" — the double-close/short-hold proxy above will include unrelated flips and renovations. Sample sizes, time periods, and data completeness vary by county. Always validate any range against your own local pull before using it to price a deal or set expectations with a client.

Where Offr AI fits in

Once you've benchmarked a market using the steps above, Offr AI turns a plain-English buy box into 25+ off-market distressed leads across all 50 states, each with skip-traced owner phone numbers, an ARV estimate, a rehab range, a suggested Maximum Allowable Offer (MAO), ready-to-send contracts, and call scripts, plus matching to your local cash-buyer list. Try 3 searches free, or see pricing for the $45/mo platform-only or $65/mo all-access plan (7-day free trial).

See also: wholesaling guides, answers hub, and plan comparisons.

Frequently asked questions

Is there one database that tracks all off-market properties?
No — off-market/distressed inventory has to be estimated by combining Census vacancy data, county foreclosure and probate filings, and assessor absentee-owner records.
What share of housing is typically 'off-market' distressed?
Estimates vary widely by area; commonly cited combined ranges run roughly 5-15% of parcels when vacancy, absentee-ownership, and distress filings are considered together, but always verify locally.
How do I avoid double-counting when combining these sources?
De-duplicate by parcel ID across your pulled datasets before totaling, since a single property can appear in more than one category (e.g., vacant and absentee-owned).
How does Offr AI source its off-market leads?
Offr AI aggregates distressed, off-market signals across all 50 states and layers in skip-traced owner contact info, ARV, and rehab estimates so you don't have to build the pull yourself.

Try it on a real deal

Type a buy box in plain English and Offr AI returns 25+ distressed, off-market properties with owner phone numbers, ARV, rehab range, max offer, the contract and the script. Three searches free, no card.