A market report describes the transactions it can see. There are transactions it cannot see. Nothing in the report will tell you how many, because a dataset cannot count its own omissions.
This is not a scandal. It is a structural feature of how residential sales are recorded, and it puts a ceiling on what any aggregate figure can honestly claim.
What falls outside the dataset
Several routes exist by which a home changes hands without appearing in the transaction database most reports query.
Private sales between parties who already know each other. A neighbour, a relative, a tenant buying the home they rent. No marketing, no listing, and often no professional involved on either side.
Sales arranged entirely within a brokerage or network. A property matched to a buyer before it is publicly marketed. Whether and when such a sale enters the database depends on rules and on whether anyone entered it.
Transfers that are not really sales. Inheritance, gifts between family members, transfers into or out of a trust, transfers as part of a divorce settlement. Ownership changes; a market transaction did not occur.
Entity-level transfers. Where a property is held by an entity and the entity changes hands rather than the property, the real estate itself may never be recorded as sold.
New construction sold directly by a builder. Depending on how a development markets its homes, some closings may reach the public dataset late or in a different form.
Each of these is ordinary. Collectively they mean the visible market is a subset, not the whole.
Why the missing sales are not a random sample
If the omitted transactions were a random slice, they would not distort anything — the visible portion would still describe the whole reasonably well.
They are not random. Private sales cluster where the parties already know each other, which correlates with long tenure and with particular kinds of property. Off-market arrangements cluster at price points and property types where a seller values discretion. Family transfers cluster around estates and long-held homes.
So the invisible set is systematically different from the visible one, which means the visible figures are systematically shifted. In which direction, nobody can say from inside the dataset — that is the whole problem.
The effect on the figures people actually quote
Two distinct distortions, and it is worth keeping them apart.
The first is on price summaries. If the missing sales differ in character from the visible ones, the median or average of what remains is describing a filtered population. It is accurate about that population and silent about the rest.
The second is on activity and supply measures, and this one is sharper. Any count of sales understates total activity. Any measure built from a ratio of supply to sales inherits that understatement in its denominator — which is one of the failure modes discussed in months of inventory: how the number is built and where it breaks.
The same applies to leading indicators. A pipeline measure counts the pending transactions it can see, as covered in pending sales: why Claremont's leading indicator leads. Deals arranged outside that channel never enter the pipeline at all.
Why a small, long-tenure town has more of this
Claremont has characteristics that make quiet transfers more likely than they would be in a high-turnover suburb.
Homes are held for long periods. Families stay. Ownership passes down. Neighbours know each other and know who might be thinking of moving. Institutions and long-established households hold property. All of that raises the share of transfers that can be arranged without a public listing.
And because the visible monthly count is small to begin with, an invisible transaction is a larger proportion of the true total than it would be elsewhere.
How to think about the gap without overcorrecting
The temptation is to conclude that market reports are worthless. That is the wrong conclusion and it leads somewhere unhelpful.
The right conclusion is narrower: a report describes the recorded market, and the recorded market is a large and useful sample of the real one. Use it as a description of visible activity, and stop short of treating it as a census.
Three practical postures follow.
Do not treat an activity count as complete. When a report says a certain amount of activity occurred, read it as at least that much, not exactly that much.
Be more careful in thin slices. On a single street or in a narrow segment, one invisible transfer can be a large share of what actually happened. Aggregates absorb the gap better than micro-cuts do.
Ask locally rather than statistically. The gap is filled by people, not by data. Someone working in an area regularly knows about transfers that never reached a listing, and that knowledge is not reconstructable from any published figure.
What this changes for a real decision
For a seller, it means the competitive picture may include homes you cannot see in a search, and it means an unusually quiet market on paper is not always as quiet as it looks.
For a buyer, it means some homes trade before they are ever advertised, and that opportunity is reached through people rather than through a portal.
THE DATA IS A FLOOR, NOT A TOTAL. Everything a report shows happened. Not everything that happened is in the report.
Property-specific work has to account for this directly. Anthony prepares a comparative market analysis using recorded sales, and says plainly where the record may be incomplete rather than presenting a filtered dataset as the whole market. It is not an appraisal; when a lender or a court requires an appraisal, he coordinates an independent state-licensed appraiser.
The rest of the series sits on the market reports hub.
Anthony Grynchal has been licensed in California since November 2009.
Frequently asked questions
How many home sales never appear in market data?
There is no reliable figure, and that is the honest answer. A dataset cannot count what it never received, so any estimate of the gap would itself be a guess. What can be said is that private sales, family transfers, trust transfers and entity-level transactions all occur, and that they are more common where homes are held for long periods.
Do missing sales make market reports useless?
No. They make reports a description of the recorded market rather than a census of all activity, which is still a large and useful sample. The practical adjustment is modest: read activity counts as a floor rather than a total, and be more cautious the narrower the slice you are examining.
Which figures are most affected by unrecorded sales?
Activity and supply measures suffer most, because any count of sales is understated and any ratio using that count inherits the error. Price summaries are affected differently: they remain accurate for the transactions included, but the excluded ones are not a random sample, so the described population is a filtered one.
How do buyers find homes that never get publicly listed?
Through people rather than through data. Transfers arranged privately or within a network are reached by being known to those networks, which means working with someone active in the area and being clear about what you are looking for. No published dataset can surface a sale that never entered it.

Written by
Anthony Grynchal
Anthony Grynchal is a California real estate professional with eXp Realty, licensed since November 2009 (California DRE# 01873626), and the Designated Local Expert™ for Claremont — where he has lived for more than 33 years.
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