Singapore inventory shifted in August 2025 — seasonal noise or greater buyer selectivity?

G

gate.strong

Real estate agent
Established
I would prefer to wait for another month before changing my assumptions, but the August 2025 figures are difficult to dismiss. In my Singapore sample, well-presented mixed-use properties took about 66 days, while those needing work remained available longer. The apparent difference between advertised and completed prices is around 4.2%.

The obstacle is that I do not yet know whether the sample is large or consistent enough. I need transaction volume, neighbourhood splits and the revision history for each asking price, especially whether the comparison uses the original or last advertised figure. Has anyone seen completed deals or street-level activity that supports a genuine change in buyer behaviour rather than a seasonal fluctuation?
 
Selectivity is plausible, but one month cannot separate that from seasonal noise. How large is the sample behind the 66 days and 4.2%, and are you comparing like with like? A few unusual mixed-use sales could move both figures sharply. Transaction volume matters as much as the headline gap.
 
The asking-versus-sold comparison needs a clearer definition. Is the 4.2% measured from the original asking price or the final advertised price after reductions? Also, are August completions being compared with August listings, or with the older listings that actually produced those deals? Those choices can create an apparent shift even if buyer behaviour has not changed.
 
I would not dismiss seasonality yet. Completed transactions reflect negotiations that began earlier, so an August 2025 snapshot may mix different market conditions. Any policy timing during the observation period could complicate it further, but that should be identified rather than assumed. I’d also check whether the figures are preliminary and later revised.
 
There is another comparability problem: well-presented mixed-use buildings and homes needing work differ in both use and condition. I’d split the data by neighbourhood, property type and condition, then record listing date, original ask, latest ask, agreed price and completion date. That would show whether 66 days is broadly representative or driven by a small cluster.
 
Agreed on splitting the categories, though I think Kenji’s selectivity explanation remains possible if renovated and realistically priced properties consistently move faster across several neighbourhoods. The next useful update would be September data using the same definitions, plus transaction counts and any revisions to August. If the 4.2% gap persists across comparable properties, it becomes harder to call it seasonal noise.
 
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