Rental Market Analysis

Rental prices for condos and HDB

How to Read the Rental Market Analysis 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 Rental Market Analysis insight provides a detailed view of Singapore's private residential rental market — separate from the gross yield calculation in the Rental Yield Insight, which combines both rental and sales data. This insight focuses on the rental transaction dataset directly: monthly median rent by bedroom type (Studio through 4BR+), rent-to-price ratio trends, and a time-series of month-on-month and year-on-year rental change rates. A vacancy indicator derived from the rati...

Why It Matters

For property investors, rental income is the primary cash flow driver — and the accuracy of a rental assumption can make or break a yield calculation. Singapore's rental market moves in multi-year cycles driven by employment growth, expat headcount, and new housing completions. During the 2021–2023 rental surge, median 2-bedroom rents in central districts rose 50–70% in 24 months. Investors who bought before the surge and modelled rental income at 2020 levels underestimated their fut...

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 2BR rent cycle: using rate-of-change to time the market

Inputs
District
D15 — East Coast / Katong
Bedroom
2-bedroom
Metric
Median rent (monthly) + YoY change rate
Time range
2021–2025
Results
D15 2BR median rent peak (Q3 2023)
~$5,800/month
D15 2BR median rent current (Q1 2025)
~$4,600/month (−21% from peak)
YoY change rate Q1 2025
−8% (still negative — softening continues)
Vacancy indicator
Rising (more supply vs concluded deals)

How to read this: The YoY change rate turning negative in Q4 2023 was the leading signal that D15 2-bedroom rents had peaked and were entering a softening phase. By Q1 2025, rents have corrected 21% from peak. An investor who bought a D15 2BR in 2024 at a yield calculation based on $5,800/month peak rent is now achieving $4,600/month — a 21% rental shortfall versus assumption. The vacancy indicator (still rising) suggests the softening is not yet complete. For a buyer evaluating D15 2BR purchases today, modelling at $4,600/month is more defensible than peak assumptions — and the rate-of-change chart is the tool that makes this visible.

Vacancy indicator as leading signal: D9 rental tightening 2021

Inputs
District
D9 — Orchard / River Valley
Metric
Vacancy indicator (listing-to-transaction ratio) + median rent
Time range
2021–2022
Question
When did the vacancy signal precede the rent increase?
Results
Vacancy ratio Q1 2021
2.8× (normal — balanced market)
Vacancy ratio Q3 2021
1.6× (tightening fast — fewer listings per deal)
Median rent Q1 2021
~$3,900/month (2BR)
Median rent Q1 2022
~$5,200/month (+33% in 12 months)

How to read this: The D9 vacancy ratio began falling sharply in Q2 2021 — from 2.8× to 1.6× in two quarters — signalling that new rental listings were being absorbed faster than new supply was coming to market. The median rent response followed approximately one quarter later, accelerating from Q3 2021 onward. Investors who monitored the vacancy indicator in mid-2021 had a 3-month head start on the rental surge signal compared to those who watched only concluded rent levels. This is the lead-time advantage of tracking the vacancy indicator alongside the rent chart rather than relying solely on transacted rent 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.