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Which US States Do Not Disclose Sale Prices — and What That Does to an Underwriting Model

24 of our 272 connected sources disclose a recorded sale price, across 19 states. What non-disclosure removes from a model, and what to do instead.

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Texas is the clearest case: our catalogue records that its appraisal roll carries no sale price and no sale date. Across the whole catalogue, 24 of 272 connected sources disclose a recorded sale price, spread over 19 states, as of 2026-09-11. Where price is absent, derive value from the building's own income — never from assessed value.

What the catalogue says, and as of when

Every catalogue figure comes from our public dataCatalog query, run 2026-09-11 (response stamped generatedAt 2026-09-11T12:21:17Z); internal coverage and product figures were measured 2026-09-14. A disclosure count is a snapshot of one day's connections, not a standing property of American public records.

On that date, 272 of 306 listed sources were connected, across 41 states and the District of Columbia (statesCovered returns 42 codes). Nine states have no connected source at all — Alabama, Delaware, Hawaii, Iowa, Kansas, Kentucky, Mississippi, South Carolina, South Dakota.

The number that matters is the smallest in the catalogue: 24 connected sources disclose a recorded sale price, across 19 states. Recorded price is the thinnest layer in US property data. Sale date is thicker but still thin — 33 sources. The rest of the same matrix: parcel id 66, address 66, land use 65, assessed value 58, area 58, building area 25, units 20, zoning 17. Assessed value comes from more than twice as many sources as price — which is why it gets misused.

Texas, in the catalogue's own words

The catalogue carries the reason on the Texas rows themselves: "Texas is a non-disclosure state: the appraisal roll carries no sale price and no sale date." That is the appraisal roll. The recorded deed is a different record: our coverage page (measured 2026-09-14) records that Texas deeds give a date and an instrument but never the price. So you can establish that a transfer happened and roughly when, never the amount. A model that needs the event can be built; one that needs the amount cannot be sourced into existence. Texas is 8.4% of our US demand (12,542 runs measured since 01.01.2026), and no vendor we use fills that gap.

Why "what each source discloses" is answerable for only 66 of 272

The matrix itself is partial. 66 of the 272 connected sources carry a field-level disclosure matrix at all. The other 206 carry none — for those, "does it give me a sale price?" has no catalogue answer, only a per-source test.

That follows from what those sources are. By kind, the 272 connected split into 201 lookups, 66 enumerations and 5 signals (as of 2026-09-11). A lookup answers one property at a time, on an address or a parcel id you bring it. An enumeration can list every property in an area matching a criterion — what a screen needs — and the enumerations are what carry row counts and disclosure matrices. A lookup-only state is one where you can check a subject but cannot sweep a market.

What non-disclosure removes from a model

It removes the observed right-hand side: the sale comparison approach at its root, the empirical cap rate (price is the denominator), and any price-derived market ranking. What survives is the income approach and the debt tests, which run on rents, expenses and loan terms.

The failure mode is not an empty cell. It is a substitute that looks like a price. Our own 416-unit Tampa multifamily workbook defaulted the purchase price to the county-assessed value of $35.21M, because that number was already sourced and already in the spreadsheet. The arithmetic downstream was correct, and it returned a 53% levered IRR, a 6.36x equity multiple and a 2.98x DSCR — the error announcing itself. The model was reporting the gap between an administrative tax basis and an income basis as if it were investment return. Priced instead off its own Year-1 NOI at a stated 5.75% going-in cap rate, the same workbook returns 8.66% (8.7% on a second, independently written implementation) and a 1.47x equity multiple, recalculated to the cent by two engines.

What a modeller should do when recorded price is absent

  1. Keep assessed value out of the price cell, permanently. Demote it to a reference line the sources tab labels never-a-price.
  2. Derive the price from the asset's own income at a stated going-in cap rate, labelled an assumption, not an observation. An honest assumption beats a sourced number from the wrong basis.
  3. Check both sides of every ratio for basis. That workbook's exit tab lost its peer-median comparison: the peer median was a median of assessed values, the exit price a market price. Its headline −48.3% "discount to peer median" is a ratio of two assessed numbers — about the tax roll, not the market.
  4. Treat date and price as two separate availabilities. With 33 sources disclosing sale date against 24 disclosing price, transfer timing and ownership turnover are often reachable where the amount is not. Build the signals that need the event, and do not let them imply it.
  5. Lean on the loan tests, which need no recorded price. Run both every time and state which binds: DSCR binding means the cash flow, not the collateral value, sets the loan — a hard constraint from the income side alone.
  6. Classify every cell SOURCED, ASSUMED or COMPUTED, and publish that. In a non-disclosure state most of the price side reads ASSUMED. That is the correct output, and the one a lender can argue with.
  7. Widen to a range rather than holding a point. Below three comparable sales our rule turns a point value into a range, and where sources disagree confidence is clamped to the weakest.
  8. Automate the checks that fire in the flattering direction. Four earn their place: going-in yield outside roughly 3.5%–9%, an exit cap tighter than the going-in cap, a DSCR above 2x, and an operating expense ratio under 40% for Florida product. Every one fired on the first draft above. A model that is wrong in the flattering direction does not look wrong — it looks like a good deal.
  9. Do not rank a market on a field most of it lacks. One live shortlist of ours ranks 25 Tampa buildings by "underpriced %" where only three have any recorded sale; the rest is computed off assessed value — a tax-roll ranking wearing a market label.
  10. Report missing as missing. If a figure cannot be sourced we report it missing rather than filling it with a plausible number. And the result is an opinion of value — never an appraisal, never a valuation. We hold no appraisal licence.

What we will send you instead

We will send the full source list, including which sources carry a recorded sale price and which do not, before you sign anything.

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