New Launch Price & Appreciation Methodology Singapore

Methodology version: V1.0   Last reviewed: 28 September 2026

What this methodology is designed to answer

The New Launch Price & Appreciation Room Analyzer is designed to answer a practical buyer question:

Is this new launch priced reasonably compared with nearby resale properties, and how much room may there be for future price support under different assumptions?

It is not an affordability calculator, a formal valuation, or a promise that a project will appreciate. The method compares a selected new-launch entry price against nearby resale benchmarks that are adjusted carefully for comparability, then places that result beside historical local price trends.

1. Start with the actual new-launch unit

The calculator should use the selected unit rather than a marketing headline price. Inputs include project name, postal district, market region (OCR/RCR/CCR), tenure, expected or actual TOP, unit type, strata area and unit price.

New Launch PSF = Unit Price ÷ Strata Area

2. Build a nearby resale benchmark

The resale comparison should use recent URA resale transactions from the same micro-market wherever possible. Preference is given to the same tenure, similar bedroom type, similar size band and recent resale transactions. The calculator should not simply average every condominium in the postal district.

The preferred benchmark is the median resale PSF across suitable comparables, because a median is less easily distorted by one unusually high or low transaction.

3. Harmonisation adjustment for older floor-area standards

Older developments may have floor areas measured under older conventions that are not perfectly comparable with newer harmonised layouts. For V1, the calculator uses a 5% base assumption with 3%, 5% and 7% sensitivity settings when a harmonisation adjustment is relevant.

The adjustment is not applied by simply multiplying the old resale PSF by 1.05. If 5% of the old stated area is assumed to be non-comparable:

Harmonised Equivalent PSF = Old Resale PSF ÷ 0.95

Example: S$2,000 psf ÷ 0.95 = approximately S$2,105 psf.

This is an analytical assumption used to improve comparability. It is not an official valuation adjustment.

4. Historical age-equivalent adjustment

The methodology does not permanently use a universal “S$50 psf per year” rule. Instead, V1 uses the area’s own historical resale PSF movement as supporting evidence.

The preferred reference is the 10-year median resale PSF trend for the relevant postal district. The method also displays 5-year growth for more recent momentum and 20-year growth where meaningful for longer-term context.

For the historical trend calculations, the dataset should be filtered to:

• Apartment + Condominium
• Resale only
• Strata area
• Relevant postal district or town

For each period, calculate the starting median PSF, ending median PSF, total percentage change, CAGR and simple average PSF change per year.

Worked example: District 16

Using the earlier D16 dataset example, median resale PSF increased from S$1,036 psf in August 2016 to S$1,661 psf in September 2026. That is a total increase of about 60.3%, a 10-year CAGR of approximately 4.83% p.a., and a simple historical increase of about S$63 psf per year.

CAGR and PSF-per-year are not the same. CAGR is a compounded historical percentage. The S$63 figure is only the simple average historical PSF increase. Neither should be assumed to repeat in future.

5. Build the adjusted resale benchmark

V1 combines the selected resale median with the relevant harmonisation assumption and the historical age-equivalent adjustment.

Example:

• Raw resale median: S$2,000 psf
• 5% harmonised equivalent: S$2,105 psf
• Historical age-equivalent adjustment: S$504 psf
• Adjusted resale-equivalent benchmark: S$2,609 psf

If the selected new launch is S$2,500 psf, the calculator should say:

The new launch is approximately 4.2% below the adjusted resale-equivalent benchmark under the selected assumptions.

It should not say that the project is “undervalued by 4.2%”.

6. Entry premium or discount

Entry Premium % = (New Launch PSF ÷ Adjusted Resale PSF − 1) × 100

A positive number means the selected new launch is priced above the adjusted resale benchmark. A negative number means it is below the adjusted benchmark. This is a comparison result, not a valuation verdict.

7. Historical Price Lead

The Historical Price Lead asks:

How many years of the area’s historical resale appreciation are already reflected in the new-launch entry price?

Example: adjusted resale benchmark S$2,300 psf, new launch S$2,500 psf, historical 10-year district CAGR 4.83% p.a. The calculator estimates how many years at that historical growth rate would be required for S$2,300 to reach S$2,500.

The result might read: Historical Price Lead: approximately 1.8 years.

This is historical context only and must not be described as a forecast.

8. Five-year price-support scenarios

Instead of predicting one future price, the calculator shows several scenarios starting from the adjusted local resale benchmark:

• 1% p.a.
• 2% p.a.
• 3% p.a.
• Historical 10-year CAGR scenario

For each scenario, show the resulting five-year PSF and compare it with the buyer’s entry PSF. The historical-CAGR scenario is included for context, not because the past rate is expected to continue.

9. Target-exit test

A buyer may optionally enter a desired future selling price or desired future PSF. Rather than saying the target “will” be reached, the calculator works backwards.

Example: if a buyer enters at S$2,500 psf and hopes to sell at S$2,850 psf, the tool can calculate what the surrounding resale market would need to reach for the exit price to represent only a selected premium, and what CAGR that surrounding market would require from today’s adjusted benchmark.

This reframes the question from prediction to required-market-performance analysis.

10. Three layers of market context

Each project should display three separate market references:

• Nearby comparable market: recent URA resale transactions, preferably over a rolling period.
• Postal district / town: resale-only apartment and condominium 5-year, 10-year and, where meaningful, 20-year historical trends.
• OCR / RCR / CCR: broader URA market context used as a sanity check rather than the primary project benchmark.

The project calculation should rely mainly on nearby resale comparables plus the relevant postal-district or town trend.

11. Home-buyer and investor interpretation

The same numerical result can mean different things to different buyers.

For a home buyer, the interpretation should focus on total quantum, layout efficiency, daily convenience, schools, transport, tenure, completion timing and how long the household expects to stay.

For an investor, the interpretation should focus more heavily on entry premium, future competing supply, likely resale buyer pool, rental demand, exit quantum and how much market growth is required to support the intended exit.

12. Assumptions must be visible

Every result should show the assumptions used, including the resale comparable set, median resale PSF, harmonisation percentage, age-equivalent method, historical period, CAGR used for the Price Lead and the scenario growth rates.

Changing an assumption should visibly change the result. The calculator should never present an assumption as an official market fact.

Recommended output on each priority project

• Selected new-launch PSF
• Nearby raw resale median
• Harmonised equivalent, where applicable
• Historical age-equivalent adjustment
• Adjusted resale benchmark
• Entry premium / discount
• 5-year and 10-year local historical growth
• Historical Price Lead
• Five-year price-support scenarios
• Optional target-exit test
• Home-buyer interpretation
• Investor interpretation

Important methodology disclaimer

This calculator is for comparative and educational purposes only. Historical property-price movements do not guarantee future performance. Harmonisation and age adjustments are analytical assumptions used to improve comparability between developments of different ages and floor-area standards. They are not formal valuations. Actual property values depend on unit attributes, floor, facing, condition, market conditions, supply, demand and individual transactions.