When property listings are accurate - but still misleading


What methods should we consider to control how a property is presented on online listing platforms? This is a longstanding challenge in an industry where, for the most part, the sales process is fragmented and often individualised.
Some weeks ago, I mentioned that a real estate agency received a censure over their handling of an errant agent. In that instance, it was an old, ever-resurfacing issue of an agent using inaccurate and 'clickbait' style listings — such as putting up a listing for an unusually low price, but then directing the prospective buyer toward something else when they call.
Now this is a very well-worn form of misdirection we sometimes see among a slim number of property listings. Past instances saw it being used by some agents long before online property portals, before WhatsApp, and before the prevalence of the internet.
Some of our younger readers can ask their parents or grandparents, and they can probably tell you how agents still did it in the days of classified newspaper ads. Although back then it was harder to spot genuine cases of misdirection, as a property really could sell right after an ad was placed, and print newspapers didn't instantly update.
But clickbait listings are one reflection of a wider issue — that of how exactly a property is represented to a buyer.
Every agent has their own approach. Every property is also unique. So, the way a property gets presented is somewhere between the agent's personal judgment, the marketing angle (if it's a new launch), and perhaps the current owner's insistence if it's a resale. Regulatory oversight is genuinely tough here, as the "correctness" of the representation differs on a case-by-case basis.
Listing prices and descriptions are also just the surface of this deeper question. Take, for example, a description of how the property has fared. An agent might show you how the average $PSF of a particular property has increased, perhaps relative to your other choices.
The information may be based on real transaction data and there may be no intentional deception on the part of the agent. But it's less common for these representations to distinguish between new-to-resale transactions versus resale-to-resale.
This matters because condos bought very early from developers tend to see much higher $PSF and price growth, as that's when prices are lowest. But for those who buy a property when it's sold on the resale market — as you may be — the subsequent price growth can be relatively weaker. A recent example of this that Stacked covered was Grandeur Park Residences.
And yet, it would be difficult for a regulatory body to argue that an agent who simply shows the starting $PSF and the current $PSF is "wrong."
Another common example involves percentages.
A high percentage growth, often in $PSF, can mislead prospective buyers as to how well a given property is performing. Projects that come from a lower base price, such as an older Executive Condominium (EC) that got privatised, can show explosive percentage gains because they were cheaper to begin with.
Other new projects, which could have been launched at prices higher than their resale comparables in that area, can seem to have very muted percentage gains.
Buyers familiar with the private home market will usually be quick to catch this. But new buyers, or those doverwhelmed by the variety of factors involved in a property purchase, are likely to fall back to mental shortcuts like "high percentage growth = better."
Again though, this isn't a clear-cut case of "wrong" representation. It's tough to regulate this because it's not about factual accuracy, but about the interpretation that arises in the buyer's own mind.
There are many other concerns such as the unit facing and floor height, the year it was purchased (it may have been bought cheaper or pricier based on how the market was faring), and even the likely future performance based on surrounding properties.
But it's also fair to say that, if an agent goes into all of this, the result could be a classic case of analysis paralysis in the buyer. As such, it often boils down to selective representation: what the agent thinks is most relevant to show or highlight. And when it comes to selective presentation, intent is extremely difficult to prove.
The Council for Estate Agencies (CEA), the watchdog monitoring the real estate agency industry, or any government body can easily regulate outright falsehoods; but it's not as easy to regulate selective truths. This is the grey zone where the chances of misrepresentation are likely to occur.
Asymmetry of information also makes this somewhat inevitable.
Most people buy property at landmark points in their lives. Some might buy only once in their lives. Even among those who end up shopping more than once, there's often a decade or more between purchases; a long time for market conditions to change, cooling measures to tighten, and even basic assumptions — such as what "normal pricing" is in certain areas — to see significant changes.
It's a rare buyer who, like the agents, monitors or operates in the property space on a daily basis. Even without bad intent, this natural imbalance often means buyers are much more susceptible to how information is framed and prioritised.
A useful example is in the recent cases involving "99-1" property transactions, specifically when it was used to sidestep paying taxes.
For years, these arrangements were openly discussed. In some circles, they were treated as a normal workaround. Many buyers were told it was common, many agents believed it was market practice. As for conveyancing firms, I don't know how they felt about it; but a lot of the deals were processed without an issue (at the time.)
Only later, when the IRAS clampdown began, did the whole issue of misrepresentation come up. Some buyers then claimed they'd been misled, which I'd argue was effectively true from their position; but most of them were left holding the bag.
In the end, the only real defence is for buyers to avoid heuristics and common sayings.
Unfortunately this makes the buying process much less fun. You still get to view the nice homes, but it has to be coupled with a lot of hard, unglamorous and frankly boring work. It means looking at layers of transactions, knowing policy nuances, and identifying all sorts of uncomfortable trade-offs.
It also means acknowledging that our regulatory environment — effective though it is — can't realistically authorise every way a property will be represented to you. They can ensure that the facts presented are accurate, but not the way that facts are presented and framed.
The most practical defence for buyers is a simple one: write down your assumptions regarding each shortlisted property.
These are assumptions like "it's cheap because it has the lowest quantum in this area," or "it's freehold but still cheaper than the leasehold next door, so it's good value."
Once your assumptions are clear, try to disprove the assumptions with the agent's help, and with whatever independent checks you're able to make. This will naturally lead you to why it's cheaper, when most of the gains were made, which units had better or worse gains in the same project.
If your assumption still holds up under that scrutiny, then you may be dealing with a tangible reality. But weaker assumptions tend to unravel when you tug hard enough at any single loose thread; and in that case, it's better to find out early than to argue about misdirections in court later.
Top 5 most expensive new sales (by project)
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | TENURE |
| GRAND DUNMAN | $5,274,000 | 2131 | $2,475 | 99 yrs (2022) |
| PINETREE HILL | $4,669,000 | 1733 | $2,694 | 99 yrs (2022) |
| NAVA GROVE | $4,555,300 | 1722 | $2,645 | 99 yrs (2024) |
| AMBER HOUSE | $3,983,000 | 1238 | $3,218 | FH |
| PENRITH | $3,878,000 | 1281 | $3,028 | 99 yrs (2024) |
Top 5 cheapest new sales (by project)
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | TENURE |
| THE CONTINUUM | $1,428,000 | 560 | $2,551 | FH |
| OTTO PLACE | $1,486,000 | 872 | $1,704 | 99 yrs (2024) |
| COASTAL CABANA | $1,532,000 | 872 | $1,757 | 99 yrs |
| THE MYST | $1,602,000 | 678 | $2,362 | 99 yrs (2023) |
| BLOOMSBURY RESIDENCES | $1,852,000 | 689 | $2,688 | 99 yrs (2024) |
Top 5 most expensive resale
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | TENURE |
| SILVERSEA | $4,800,000 | 2508 | $1,914 | 99 yrs (2007) |
| THE SHELFORD | $4,730,000 | 1851 | $2,555 | FH |
| BEDOK RESIDENCES | $4,500,000 | 3122 | $1,442 | 99 yrs (2011) |
| THE HOLLAND COLLECTION | $4,480,000 | 1841 | $2,434 | FH |
| CYAN | $4,200,000 | 1475 | $2,848 | FH |
Top 5 cheapest resale
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | TENURE |
| THE INFLORA | $660,000 | 463 | $1,426 | 99 yrs (2012) |
| LE REGAL | $775,000 | 517 | $1,500 | FH |
| HILLION RESIDENCES | $832,000 | 474 | $1,757 | 99 yrs (2013) |
| WOODHAVEN | $850,000 | 646 | $1,316 | 99 yrs (2011) |
| THE HILLIER | $905,000 | 624 | $1,450 | 99 yrs (2011) |
Top 5 biggest winners
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | RETURNS | HOLDING PERIOD |
| COSTA RHU | $2,800,000 | 1647 | $1,700 | $2,035,000 | 21 Years |
| COTE D’AZUR | $2,838,800 | 1539 | $1,844 | $1,997,510 | 24 Years |
| MOULMEIN COURT | $2,550,000 | 1647 | $1,548 | $1,947,000 | 20 Years |
| CLYDESVIEW | $4,080,000 | 2121 | $1,924 | $1,800,000 | 16 Years |
| THE CHUAN | $2,750,000 | 1281 | $2,147 | $1,755,200 | 19 Years |
Top 5 biggest losers
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | RETURNS | HOLDING PERIOD |
| BELLE VUE RESIDENCES | $4,150,000 | 1981 | $2,095 | -$512,000 | 16 Years |
| 26 NEWTON | $1,750,000 | 775 | $2,258 | -$277,455 | 8 Years |
| SILVERSEA | $4,800,000 | 2508 | $1,914 | -$220,000 | 14 Years |
| DEVONSHIRE RESIDENCES | $1,020,000 | 495 | $2,060 | -$174,000 | 15 Years |
| CAIRNHILL NINE | $1,550,000 | 657 | $2,361 | -$105,001 | 10 Years |
Top 5 biggest winners (ROIper cent)
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | ROI (per cent) | HOLDING PERIOD |
| MOULMEIN COURT | $2,550,000 | 1647 | $1,548 | 323per cent | 20 Years |
| LE WOOD | $1,648,000 | 1270 | $1,297 | 283per cent | 20 Years |
| COSTA RHU | $2,800,000 | 1647 | $1,700 | 266per cent | 21 Years |
| COTE D’AZUR | $2,838,800 | 1539 | $1,844 | 237per cent | 24 Years |
| CASCADALE | $1,900,000 | 1550 | $1,226 | 233per cent | 20 Years |
Top 5 biggest losers (ROI per cent)
| PROJECT NAME | PRICE S$ | AREA (SQFT) | $PSF | ROI (per cent) | HOLDING PERIOD |
| DEVONSHIRE RESIDENCES | $1,020,000 | 495 | $2,060 | -15per cent | 15 Years |
| 26 NEWTON | $1,750,000 | 775 | $2,258 | -14per cent | 8 Years |
| BELLE VUE RESIDENCES | $4,150,000 | 1981 | $2,095 | -11per cent | 16 Years |
| AVENUE SOUTH RESIDENCE | $1,150,000 | 527 | $2,180 | -8per cent | 4 Years |
| CAIRNHILL NINE | $1,550,000 | 657 | $2,361 | -6per cent | 10 Years |

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This article was first published in Stackedhomes.