You’ve likely seen the number in a market update or an investment deck by now. Average length of stay in the UAE has climbed sharply in recent years – roughly 7.5 years to 10.5 years, sometimes cited even higher and it circulates as one of the more compelling data points behind the case for durable UAE demand. The conclusion typically drawn from it is straightforward: the population base has become durable, the market has matured past its transient reputation, this is no longer a place people pass through.
The number is real. It was published and it isn’t fabricated. What it’s actually measuring is a different question and it’s worth sitting with before repeating the figure again.
The Problem With Taking the Number at Face Value
This particular figure traces back to an industry survey – specifically, a real estate brokerage’s own annual report on its client base. Two things about that origin matter more than the headline number itself.
First, the report blends two different measurements without clearly separating them: how long people say they have already lived somewhere and how long they say they intend to stay going forward. These are not the same claim and conflating them into one “average length of stay” figure obscures which one is actually driving the number upward. Second, and more consequentially, the sample is drawn from a single brokerage’s own clientele – people who went through a formal agency to rent or buy. That is not a neutral cross-section of a population that is roughly 88 percent expatriate and includes a very large service and labor workforce, whose tenure patterns look nothing like a family renting through a mainstream brokerage and who would essentially never appear in this kind of survey at all.
Neither of these facts makes the statistic worthless. Both of them make it a much narrower claim than the way it gets repeated.
The Complication: Even the Honest Version of This Number Has a Behavioral Problem
The obvious response is to treat this as a minor caveat – fine, it’s directional, still broadly positive news, worth citing with a light asterisk. That response undersells a specific, well-documented problem: people are consistently unreliable forecasters of their own future behavior and they tend to be optimistically biased in a predictable direction. Someone asked today how long they intend to stay somewhere is answering from their current state of mind – recently settled, engaged, likely satisfied or they wouldn’t have responded to the survey at all – not from the vantage point of whatever circumstance eventually prompts them to leave.
This means that even a perfectly honest, non-cherry-picked version of “how long do you intend to stay” data carries a structural upward bias before any brokerage-specific sampling issue is added on top. The stated-intent half of the figure is not simply softer evidence than the retrospective half – it’s evidence of a different kind entirely, closer to sentiment than to a measured outcome and sentiment data answers a different question than the one investors are actually trying to answer when they cite this statistic as proof of durable demand.
The Reframe: The Question Isn’t Whether the Number Is Accurate. It’s Whose Experience It Describes.
The instinct when scrutinizing a statistic is to ask whether it’s correct – was the survey conducted properly, is the average calculated right, is the source credible. Those are reasonable questions and this figure likely passes most of them. It’s probably an accurate description of what it actually measured.
The more useful question is a different one: who was in the room being measured. A statistic drawn from a brokerage’s own client base is, by construction, describing people who already had the means and inclination to go through a formal rental or purchase process – a population that skews toward higher income, family-oriented and already somewhat established. It says very little about the much larger population of workers, single-income arrivals and shorter-cycle professionals who make up the majority of the UAE’s expatriate base and who transact, if at all, through entirely different channels this survey never touches.
A number can be completely accurate about the group it measured and still be a poor proxy for the population it gets cited to describe. That distinction – accuracy versus representativeness – is where this specific statistic and a great deal of market commentary built on similar single-source figures, actually breaks down.
What This Looks Like in Practice
Picture two residents whose experiences would produce very different answers to “how long do you plan to stay.” One is a family that worked with a full-service brokerage to secure a long-term rental, has children enrolled in a school with a multi-year commitment and answers the survey from a position of genuine settledness – exactly the profile likely to appear in a brokerage’s client database and to report a long intended stay. The other is a single-income professional on a standard employment visa, renting through a smaller local agent or directly from a landlord, whose actual tenure depends heavily on contract renewals and job market conditions well outside their control – and who never appears in the first group’s survey at all, because they never went through that channel.
Both are real UAE residents. Both are part of the population growth figures that get cited in the same market conversations. But only one of them is represented in the statistic doing the rounds in most investment decks and the aggregate “average length of stay” being quoted is, in practice, closer to a description of the first group than a genuine population-wide figure – while being presented, almost universally, as if it describes both.
What to Do Differently
- Ask what population the sample was actually drawn from before treating a tenure statistic as market-wide. A brokerage’s own client survey and a government-level residency dataset are answering fundamentally different questions, even when both get summarized as “average length of stay.”
- Separate retrospective figures from stated-intent figures whenever a source blends them. Ask specifically whether the number reflects what people have already done or what they say they plan to do – the second is consistently less reliable than it sounds.
- Look for a second, independently sourced figure before treating any single statistic as confirmation. A number that only exists in one report, cited by everyone downstream of that same original source, isn’t corroborated just because it appears frequently.
- Weight demographic durability claims by how broadly the underlying sample actually reaches. A statistic that only touches the highest-income, most-established segment of a population tells you about that segment specifically, not about the structural character of demand as a whole.
- Treat “directionally positive but imperfect” data as exactly that – directional, not decisive. It’s reasonable to view a rising tenure figure as one mildly encouraging data point. It’s a different thing entirely to let it carry the weight of a structural investment thesis on its own.
The Objection Worth Addressing
A fair pushback: isn’t this overly skeptical of a data point that’s still, even with these caveats, broadly encouraging? That’s a reasonable read and this isn’t an argument that the underlying trend is false or that the UAE’s population base hasn’t genuinely matured in real ways. It’s an argument that one soft, narrowly sourced statistic is being asked to do more evidentiary work than it can actually support and that the gap between “directionally encouraging” and “structurally confirmed” is precisely where overconfident investment decisions get made.
If the average you’re citing comes from one company’s own clients and blends what people did with what they merely intend to do, whose experience is it actually describing?