Transaction Volume

Sales and rental volume for condos and HDB

How to Read the Transaction Volume 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 Transaction Volume insight tracks the monthly count of private residential property transactions in Singapore, segmented by sale type (new sale, sub-sale, resale) and by market segment (CCR, RCR, OCR). The primary chart is a stacked bar showing total monthly transactions broken down by sale type, allowing you to see at a glance whether total market activity is rising or falling and which sale type is driving the movement. A secondary chart shows the 12-month rolling average to smooth t...

Why It Matters

Transaction volume is the most reliable leading indicator of property market turning points — price changes follow volume changes, typically with a 2–4 month lag. When monthly volume falls sharply (as it did after the February 2023 ABSD increase from 17% to 20% for PRs and from 30% to 60% for foreigners), it signals buyer demand contraction before prices have had time to adjust. Sellers who understand this lag can make more informed decisions about timing their exit: a volume decline t...

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

2023 ABSD impact on volume: reading the demand contraction signal

Inputs
Metric
Total monthly private residential transactions
Sale type
All types
Time range
Jan 2023 – Dec 2023
Reference
12-month rolling average pre-ABSD (Jan 2022 – Feb 2023)
Results
Monthly avg volume (Jan–Feb 2023)
~1,850 transactions
Monthly avg volume (Apr–Jun 2023)
~1,100 transactions (post-ABSD April increase)
Volume decline
~40% in 2 months
Price lag
Median PSF declined ~3% in CCR by Q3 2023 (2–3 month lag)

How to read this: The April 2023 ABSD increase (foreigners from 30% to 60%, PRs from 25% to 30%) produced an immediate 40% volume collapse. Prices in CCR followed 2–3 months later with a 3% median PSF softening — confirming the typical volume-leads-price dynamic. An investor who was watching volume in April 2023 had a 2–3 month window to act before the price data confirmed the signal. This is the operational advantage of monitoring transaction volume as a leading indicator rather than waiting for headline price reports.

Sub-sale share rising: reading the 2021 speculative build-up

Inputs
Metric
Sub-sale volume as % of total monthly transactions
Time range
2019–2022
Segments
All (CCR + RCR + OCR)
Results
Sub-sale share 2019–2020
1.2%–2.1% of total (near-historical low)
Sub-sale share Q1 2022
5.8% of total (rising sharply)
Sub-sale share Q3 2022
8.4% of total (elevated — speculative)
Implication
Investors flipping pre-TOP positions in OCR new launches

How to read this: Sub-sale share rising from 2% to 8% between 2020 and Q3 2022 is a late-cycle speculative signal: investors are buying developer units and flipping before completion, betting on continued price appreciation. This pattern historically precedes cooling measure announcements or market turning points. The signal does not predict the exact timing of a correction but warns that increasing speculative positioning has entered the market — a signal worth noting for investors evaluating whether to buy new launches in that environment versus waiting for the speculative excess to unwind.

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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