Top Gainers & Losers

Properties with biggest price changes

How to Read the Top Gainers & Losers Insight

Key Takeaways

  • This insight is powered by live URA and HDB transaction data refreshed monthly.
  • Use the district filter above the chart to narrow results to a specific planning area.
  • Hover any data point on the chart for exact values and transaction counts.

What It Does

The Top Movers insight identifies the individual condominium developments showing the largest PSF movements — both upside gainers and downside movers — over a selectable time period (1 month, 3 months, 6 months, 1 year). Two ranked lists are displayed: Top 20 Gainers (developments where median transacted PSF has risen the most in the selected window) and Top 20 Decliners (largest PSF drops). Each entry shows the development name, district, previous median PSF, current median PSF, absol...

Why It Matters

Development-level price movements often precede district-level movements by 2–4 months, because the median PSF for an entire district is slow-moving — it takes many transactions to shift a district average significantly. A single development that transacts 8 units in a month at a 12% PSF premium to the previous quarter will have a large effect on its own median but a negligible effect on the 600-transaction district median. The Top Movers chart surfaces these individual development sig...

How It Works

  • Select a district from the filter or leave it blank to view Singapore-wide data.
  • Use the time-range buttons (1Y/2Y/3Y/5Y/All) to adjust the chart window.
  • Hover any point on the chart to see exact values and underlying transaction counts.
  • Review the KPI cards above the chart for headline numbers at a glance.

Examples

D15 development appears in gainers list: MRT opening price signal

Inputs
Filter
RCR segment, 3-month gainers
Development
D15 condo near Siglap / Marine Parade (hypothetical)
Context
Thomson-East Coast Line Stage 4 opening Q3 2023
Results
PSF 3 months prior
~$1,780 median PSF (10 transactions)
PSF current month
~$1,980 median PSF (8 transactions)
Change
+$200 PSF (+11.2%) in 3 months
District D15 change
+2.1% over same period (development moved 5× faster)

How to read this: The development's 11% jump in 3 months versus the district's 2% movement confirms this is a development-specific signal, not a broad D15 move. Investigation reveals the driver: TEL Stage 4 opened with Marine Parade and Siglap stations, dramatically improving connectivity for developments near those stations. Buyers who acted when this development appeared in the gainers list with a specific driver (MRT opening) had advance confirmation that the price move was fundamental, not random. Waiting for D15's district average to reflect this development-level move would have meant acting 2–4 months later at a higher price.

D9 development in decliners list: reading a development-specific supply signal

Inputs
Filter
CCR segment, 6-month decliners
Development
D9 condo with large unsold developer inventory
Context
Developer offering progressive payment incentives to move inventory
Results
PSF 6 months prior
~$3,200 median PSF
PSF current
~$2,920 median PSF (13 transactions)
Change
−$280 PSF (−8.8%)
D9 district change
−1.4% over same period

How to read this: A development declining 8.8% while its district falls only 1.4% signals a development-specific supply issue: the developer has likely been selling at progressively lower prices to clear inventory, which shows up as falling median PSF in the transaction data. An owner in this development who sees it on the decliners list for two consecutive months should investigate whether the developer still holds significant unsold units — if yes, downward price pressure will continue until the developer inventory is cleared. A buyer looking at this development might interpret the decline as an opportunity, but should first establish whether the price decline is developer-driven (temporary) or demand-driven (structural).

Tips & Pitfalls

Expert Tips

  • Compare 2–3 districts side-by-side to spot relative outliers rather than reading a single number in isolation.
  • Always check the transaction count alongside any price metric — small sample sizes can produce misleading averages.
  • Pair this insight with the related calculators and maps below for a complete decision framework.

Common Pitfalls

  • Interpreting short-term movements (under 1 year) as trends — Singapore property data is noisy and needs a longer window.
  • Ignoring the difference between median and mean — means are pulled by luxury outliers in prime districts.
  • Forgetting that new-launch prices are often subsidised by developer discounts not visible in headline data.

Frequently Asked Questions

Where does the data come from?
Data is sourced from the Urban Redevelopment Authority (URA) and Housing & Development Board (HDB) official APIs, refreshed monthly.
How often is this insight updated?
The underlying transaction data is synced monthly from URA and HDB. The charts recompute live as new data arrives.
Can I filter by district?
Yes — use the district filter above the chart. You can also share a deep link to a specific district via the URL.

Related Resources

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