Commercial Rental Index

Office and retail rental index trends

How to Read the Commercial Rental Index 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 Commercial Rental Index insight tracks Singapore's quarterly office and retail rental index figures as published by URA, plotted against a base period of Q1 2009 = 100. Two separate index lines are shown — Office (Central Region) and Retail (Central Region) — so you can compare how the two commercial property segments have diverged or converged over time. The chart covers data from 2009 to the present, giving a 15+ year view of the full cycle: pre-GFC recovery, post-2011 peak, the ...

Why It Matters

Commercial property rental performance is both an investment metric in its own right and a leading indicator for the residential property market. When office rental index values are rising strongly, it signals that CBD employment is expanding — more workers commuting to the CBD means more demand for residential properties within commute range of the Central Region. The office rental index peaked in Q3 2008 (index ~220) and troughed in Q2 2020 (index ~120), a near-40% decline over 12 year...

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

Office vs retail index divergence 2015–2024: reading the cycle split

Inputs
Metric
Office Rental Index + Retail Rental Index (Central Region)
Time range
2015–2024
View
Dual-line chart, base 100 = Q1 2009
Reference
Pre-COVID 2019 = baseline for recovery comparison
Results
Office index 2019 Q4
~148
Office index 2021 Q2
~121 (COVID trough)
Office index 2024 Q1
~162 (new cycle high)
Retail index 2024 Q1
~108 (still 12% below 2019 level)

How to read this: The chart shows that office rents have recovered to a new cycle high above pre-COVID levels, while retail rents remain 12% below 2019 peak. For a commercial strata investor, this means office assets are in a stronger rental recovery position than retail, and projected rental yields for office strata should be supported by current index momentum. Retail strata requires a more cautious rental assumption — factoring in the slower structural recovery and the ongoing e-commerce headwind that is suppressing suburban retail occupancy. Any commercial strata investment with a retail rental assumption above the current index level is banking on outperformance vs the market.

Using commercial index as a residential forward indicator: 2021–2022

Inputs
Metric
Office Rental Index (quarterly changes)
Time range
2021–2022
Question
When did the commercial index signal the residential rental surge?
Results
Office index Q2 2021 change
+4.2% QoQ — first strong positive quarter post-COVID
Office index Q3 2021 change
+3.8% QoQ — acceleration confirmed
URA residential rental surge
Apparent in data from Q1 2022 (2 quarter lag)
Implication
Commercial index led residential rental by ~2 quarters

How to read this: The office rental index turned positive in Q2 2021 as Singapore began reopening and attracting regional HQs and tech firms. Residential rental demand followed approximately 2 quarters later as new arrivals — employees of expanding companies — needed housing. An investor monitoring the commercial index in mid-2021 would have seen the demand signal building and could have acted on residential rental-income property before the 2022 surge was widely reported. For forward-looking investors, the commercial rental index remains a leading indicator worth tracking each quarter alongside residential data.

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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