Singapore mixed-use property snapshot — August 2025

M

measureTheRoute

Seller
I can either publish the August 2025 figures now with heavy qualifications or hold them until the sample is cleaner. Neither option is ideal: an early snapshot may overstate a mixed market, while waiting could make the observations stale.

The provisional Singapore figures show S$1,119,000 as a price point with visible financing sensitivity, +6.1% asking-price movement and 35 days of market exposure. Before revising the summary, I need to know whether those results persist after separating price bands, neighbourhoods and property types. Completed transactions, inventory changes and dated local observations would be useful, along with revision dates and source links where available.
 
The sample definition has to come first. Does “mixed-use” mean individual properties in developments containing commercial space, or entire buildings combining uses? Combining those markets could make the +6.1% mostly a change in listing mix rather than a broad price move.
 
How is 35 days measured: first listing to removal, first listing to completed sale, or the age of active listings at the August cut-off? Relisted properties could also distort it. Without that detail, I would call it indicative exposure time rather than time to sell.
 
I’m not convinced “financing sensitivity around S$1,119,000” says enough to be useful. Is that the centre of the sample, a price-band boundary, or a point where activity changes? The phrase implies a relationship that needs supporting evidence.
 
A neighbourhood split would help, but only after separating property types. Otherwise one area with more residential listings above shops could be compared with another containing larger mixed-use assets. Even simple counts within each group would show whether the headline is being driven by composition.
 
Completed sales should be matched as closely as possible by location, property type and price band. Asking-price movement can reflect seller expectations; it does not establish that buyers paid 6.1% more. I would keep those two measures in separate columns.
 
Inventory is the other missing half. A higher asking level alongside shrinking availability means something different from the same increase caused by newly listed, higher-priced properties. Can the August total be compared with the previous snapshot using an unchanged sample definition?
 
Please record the extraction date as well as the month represented. Listings can be edited, removed or added after month-end, so later revisions should be dated rather than silently replacing the August 2025 figures.
 
Building on Katarina’s point, a compact table could show active inventory, new listings, removals and completed sales for each neighbourhood/property-type group. Blank cells would be preferable to filling gaps with assumptions. That would also expose groups too thin to support the headline.
 
Useful challenges. I’m keeping all three headline figures provisional: +6.1% is asking-price movement, 35 days is only indicative until the timing method is confirmed, and S$1,119,000 will not be described as a threshold without an explanation of how it was derived. No completed-sale or inventory evidence has been supplied in the thread yet.
 
Bianca’s distinction may require two separate snapshots, not merely two rows. A whole mixed-use building and a property within a mixed-use development have different price scales and buyer pools. If both are present, one combined time-on-market figure is especially hard to interpret.
 
Agreed with Mateo. I would also avoid calculating a combined average after splitting them; readers will naturally focus on the single headline again. Publish the two categories independently and state which one, if either, contains observations near S$1,119,000.
 
One more definition question for olund: what exactly is S$1,119,000—a mean, median, typical asking price, or manually chosen band? Victor’s objection remains unresolved until that is specified.
 
Also, was the +6.1% calculated month to month, against August of the prior year, or against another comparison period? “August 2025” identifies the observation month but not the base. The summary needs both dates.
 
At this point I would not turn the three numbers into a market direction call. They can still be published as a watchlist, provided the labels explicitly say what is unknown. That is more useful than presenting false precision and revising the interpretation later.
 
I partly disagree that asking data should be sidelined. It can show changing seller expectations before completed-sale evidence arrives. The problem is not using it; the problem is treating it as achieved-price growth. Keep the +6.1%, but display listing counts and the comparison period beside it.
 
That’s fair. I’m not arguing for removing asking data, only for narrowing the claim. With stable sample rules and inventory counts, a shift in expectations is a defensible observation even when completed prices are unavailable.
 
A practical submission format might be: observation date; neighbourhood; individual property or whole building; asking or completed price; first-listing date if known; and source link. Contributors should mark anything based on local observation rather than a published record. That would make later revisions traceable.
 
Could removals be split into completed, withdrawn and unknown where the evidence permits? Treating every disappeared listing as sold would shorten the apparent 35 days. Relistings should retain a connection to the original listing rather than restarting the clock unnoticed.
 
Neighbourhood comments also need dates. “Inventory looks tighter” is too vague for an August snapshot unless the member states when and where it was observed. I’d accept such comments as context, but not use them to recalculate the figures without underlying counts.
 
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