Newport Residences

, Downtown Core, Central · Freehold · Launched

Newport Residences is a freehold development of 246 units on levels 23 to 45 of Newport Plaza, a 45-storey mixed-use building at 80 Anson Road that also contains offices and serviced apartments.

From: S$1.30M
Lowest: S$3,012calculated

Exterior: Newport Plaza tower at dusk, artist's impression. CDL newsroom: CDL kicks off 2026 with the launch of Newport Residences
Exterior: Newport Plaza tower, aerial view, artist's impression. CDL newsroom: CDL kicks off 2026 with the launch of Newport Residences
Facilities: Sky Pool at the roof garden level, artist's impression. CDL newsroom: CDL kicks off 2026 with the launch of Newport Residences

Images from the developer, usually artist's impressions. The finished project may differ.

Want to see how this project fits you? Rank the launches by your budget, size, area and MRT distance, then open it from the list.

Ready (): 2027from a portal or agent
Nearest MRT or LRT: 210 m · ~3 min walkcalculated
so far: 203 of 246 (82.5%)
Recent sales, median: S$3,082 psfcalculated
, median: S$2,007 psfcalculated
: Freehold
Developer: Hong Leong Properties Pte Limited
Launched: 31 Jan 2026

Nearest station in service: Prince Edward Road MRT Station. Distances are straight-line; walking routes are longer.

Is it worth buying?

PropGPT financial score

49out of 100

Fair case on the numbers

Confidence: high, most figures known (81% of the weight known)

Adds up the measurable lines below: price against comparable homes, rental yield, the lease, how nearby prices moved, MRT distance and competing supply. 65 or more is a strong case on the numbers, 45 to 64 fair, under 45 weak. It leaves out what only you can judge (layout, school, the view) and is not a valuation or advice.

What makes up the score

Score parts: each part's mark out of 100, its share of the score, and why
Part	Mark	Why
Price vs similar homes nearby24% of the scoreCosts 24% more than similar older homes nearby; usually 17% more.	15	Costs 24% more than similar older homes nearby; usually 17% more.
Rental yield vs typical18% of the scoreRent of about 2.7% of the price a year; typical is 2.4%.	79	Rent of about 2.7% of the price a year; typical is 2.4%.
Price vs other new launches nearbynot countedNot known yet.	Not known	Not known yet.
Price vs launches in the region12% of the score8% above the typical price of launches in the region.	23	8% above the typical price of launches in the region.
Price vs the developer's likely breakevennot countedNot known yet.	Not known	Not known yet.
Value lost to the lease in the next 10 years12% of the scoreFreehold or 999-year: no lease running down.	100	Freehold or 999-year: no lease running down.
Nearby homes that beat the market12% of the score0 of 18 nearby projects beat the market.	0	0 of 18 nearby projects beat the market.
Distance to the MRT12% of the score210 m to the nearest station.	100	210 m to the nearest station.
Competing homes finishing nearby6% of the score82 competing homes finishing nearby around the same time.	96	82 competing homes finishing nearby around the same time.
Developer's track record6% of the scoreProblems reported in the news.	0	Problems reported in the news.

How the score is worked out

What a property agent would weigh up, from public data. Each line gives a plain answer and what it means for you. Open “Show the calculation” on any line for the exact figures.

PropGPT compares private condos and apartments only (ECs with ECs). HDB flats and landed homes are never in these comparisons, and every price is a real sale recorded by URA, not an asking price.

In your favour 3Neutral 2Watch out 3Not known yet 2

Am I paying a fair price?

Price vs similar resale homes nearby · Watch out
Costs about 24% more than similar older homes nearby
New launches usually cost about 17% more than the older homes around them (the middle figure of the 64 launches selling now). This one's extra is bigger than usual, so it may take longer to sell at a profit.
This launch
S$3,082 psf
Usual for a launch here
S$2,908 psf
Similar homes nearby
S$2,476 psf
Based on 267 resales, Nov 2025 to Nov 2026 · a rough guide only
Show the calculationHide the calculation
What it compares
This project's median price per sq ft (its own new sales in the last 12 months) against resale condos and apartments within 1.5 km, sold Nov 2025 to Nov 2026, 345–2,480 sq ft (this project's sizes, widened 20% each way). Each resale price is scaled to this project's lease, and to its building age (a new building, expected TOP 2027) where the resale's completion year is known. Not included: HDB flats, landed homes, homes resold before completion (sub-sales), and this project itself.
The figures
This project: S$3,082 psf, the median of its own new sales in the last 12 months.
Nearby resale: S$2,476 psf, the median of 267 sales after the lease adjustment.
Lease adjustment, for example: a freehold resale at S$2,000 psf counts as about S$1,920 against a new 99-year lease (96% of freehold); a 99-year resale with 70 years left at S$1,500 psf counts as about S$1,646.
Age adjustment: 267 of 267 nearby sales are also scaled to this project's age (a new building, expected TOP 2027), about 0.9% per year of difference. For example, a resale in a building 10 years older at S$1,500 psf counts as about S$1,648.
Gap: S$3,082 psf ÷ S$2,476 psf − 1 = +24%. Usual gap (the middle of 64 launches selling now): +17%. In your favour when this gap is 5 percentage points or more below the usual gap; watch out when 5 or more above.
How fair is this comparison?
A rough guide only. Older homes against a new launch. Lease and size range are matched, building age is adjusted at an average rate; the premium for a brand-new home, condition, floor and facilities are not. That is why the line compares the gap with the usual gap for launches rather than with zero.
What this check cannot see
Building age is adjusted at one average rate, about 0.9% a year (measured from 10,793 private resales in 1,531 condos, Oct 2025 to Oct 2026). Real prices fall faster in a building's first 15 years and slower after, faster for 99-year leases than freehold, and upkeep differs between buildings.
The lease adjustment uses the SLA leasehold table (Bala's Table), which values land, not the building; on very old leases it may over-adjust.
Floor level, view, facing and unit mix are not adjusted. A project whose recent sales were mostly high floors looks dearer.
1.5 km in a straight line can reach across an expressway, river or park into a different market.
URA gives one map point per project, so large projects are measured from a single spot.
How PropGPT works out every line
Price vs other new launches nearby · Not known yet
Not known yet
Fewer than 10 new-launch sales of similar size in other projects within 1.5 km in the last 12 months.
Show the calculationHide the calculation
What it compares
This project's median price per sq ft against new-launch sales in other projects within 1.5 km over the last 12 months, same size range (345–2,480 sq ft).
How PropGPT works out every line
Price vs launches in this region · Neutral
About 8% above the typical price of other launches selling now in this region
Priced like most of the homes you are likely to compare it with.
This launch
S$3,082 psf
Typical launch in the region
S$2,850 psf
Based on 33 launches · a rough guide only
Show the calculationHide the calculation
What it compares
This project's price per sq ft against the median of other new launches selling now in the same URA region (Central, East, North, North-East or West).
The figures
This project: S$3,082 psf
Median of 33 other launches selling now in this region: S$2,850 psf
In your favour when 10% or more below the typical price; watch out when 10% or more above.
How fair is this comparison?
A rough guide only. Same region or type only: a region mixes places near and far from the city, and each launch's land cost differs.
What this check cannot see
Region medians mix very different locations: Orchard and Toa Payoh are both in the Central region.
Unit sizes are not matched: small units cost more per sq ft, so a project of mostly small units looks dearer.
How PropGPT works out every line
Land cost vs launch price · Not known yet
Not known yet
PropGPT has not found what the developer paid for the land yet.
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What it compares
This project's price per sq ft against what the developer likely needs to break even: the land price per sq ft of allowed floor area (psf ppr) × 1.4.
How PropGPT works out every line

Can it earn or hold its value?

Rental yield · In your favour
About 2.7% of the price a year in rent, before costs
More than the typical 2.4% for launches selling now, so rent would cover more of your costs if you let it out.
This launch
2.7%
Typical for launches selling now
2.4%
Based on 3,662 rental contracts, Q1 2026 to Q3 2026
Show the calculationHide the calculation
What it compares
Rents of condos and apartments of similar size within 1.5 km (URA rental contracts, last 4 quarters), per sq ft, × 12, against this project's price per sq ft.
The figures
Nearby rent: S$6.92 per sq ft a month, median of 3,662 contracts (URA, Q1 2026 to Q3 2026)
Yield = S$6.92 × 12 ÷ S$3,082 psf = 2.7%. In your favour when 0.3 percentage points or more above the typical yield; watch out when 0.3 or more below.
How fair is this comparison?
Fair. Rents of similar homes nearby, not of this project, which is not finished yet.
What this check cannot see
Gross yield: property tax, maintenance fees, agent fees and empty months usually take 1 to 2 percentage points off.
URA records rented sizes as ranges (for example 900–1,000 sq ft); PropGPT uses the middle.
New homes usually rent for more than the older homes nearby, so this may understate.
How PropGPT works out every line
Lease · In your favour
Freehold
No lease runs down, so the home does not lose value as the years pass. Buyers usually pay more for this.
Based on URA's title record
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What it compares
The title's tenure, as recorded by URA.
How fair is this comparison?
Very fair. A fact about this home.
What this check cannot see
Freehold land does not protect the building: it still ages, and an en bloc sale needs most owners to agree.
How PropGPT works out every line
How nearby homes' prices moved · Watch out
0 of 18 nearby projects rose faster than the whole market
Homes around here have done worse than the market in recent years. Past results do not guarantee future ones.
Based on 18 nearby projects, sales from Oct 2021 · a rough guide only
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What it compares
For each project within 1.5 km with enough sales: the median price of its first 12 months of sales in PropGPT's data against its resales in the last 12 months, at least 2 years apart, compared with URA's private non-landed price index over the same quarters.
The figures
ALTEZ (173 m): +4% from 2021-Q4 to 2026-Q2; market +25%
SKYSUITES@ANSON (199 m): +3% from 2022-Q3 to 2026-Q2; market +16%
76 SHENTON (209 m): +2% from 2022-Q2 to 2026-Q2; market +21%
ICON (238 m): −0% from 2022-Q1 to 2026-Q2; market +25%
WALLICH RESIDENCE (495 m): −23% from 2022-Q2 to 2026-Q1; market +21%
SKY EVERTON (685 m): +3% from 2022-Q1 to 2026-Q3; market +25%
In your favour when 60% or more of nearby projects beat the market; watch out at 40% or fewer.
How fair is this comparison?
A rough guide only. Each project against itself over time, so like for like within a project; but the projects are not this one.
What this check cannot see
PropGPT's sales data starts in October 2021, so an older project's 'first year' is a resale year, not its launch.
A project's early sales may be small units and later ones large, or the other way round.
Past price moves do not predict future ones.
How PropGPT works out every line
MRT · In your favour
210 m to Prince Edward Road MRT Station
Within an easy walk; homes near stations are in steady demand from buyers and tenants.
Based on LTA station exits and URA Master Plan 2019, worked out 2 Nov 2026
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What it compares
Straight-line distance from the project's map point to the nearest MRT or LRT exit in service (LTA), and to the nearest planned station (URA Master Plan 2019).
The figures
Nearest planned station: River Valley (planned), 2,134 m
In your favour within 500 m of a station in service or planned; watch out over 1 km from both.
How fair is this comparison?
Very fair. A fact about this location.
What this check cannot see
Straight-line distance: walking routes are longer, often by a third.
Planned stations can be years away and dates change.
How PropGPT works out every line

What could go wrong?

Competing homes finishing nearby · Neutral
82 homes in 1 other project within 1.5 km due 2025–2029
Some competing new homes nearby, fewer than 1,000.
Based on URA's list of projects not yet completed, worked out 2 Nov 2026
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What it compares
Homes in other private projects within 1.5 km that URA lists as not yet completed, due within 2 years of this project's completion (TOP).
The figures
URA pipeline of private homes not yet completed.
In your favour when there are none; watch out at 1,000 homes or more.
How fair is this comparison?
Fair. Counts homes, not who will sell or rent them.
What this check cannot see
Completion years in URA's pipeline often shift by a year or more.
Land sold but not yet in URA's pipeline is not counted.
1.5 km in a straight line can reach across an expressway, river or park into a different market.
How PropGPT works out every line
Developer's track record · Watch out
1 problem reported in the news
Read what was reported and ask the developer how it was resolved.
Based on PropGPT research, 22 Oct 2026
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What it compares
Housing projects the developer has completed in Singapore, and delays, defects or disputes reported in established news in the last 10 years (PropGPT research).
The figures
2018: Owners of The Sail@Marina Bay took a long-running dispute with CDL over alleged defects in the condominium to court in 2018
How fair is this comparison?
Fair. The developer's other projects, not this one.
What this check cannot see
Only problems reported in the news are found; many defects are settled quietly.
Joint ventures: a problem of one partner is listed even when the other partner led the project.
Sources
The Business Times: Fight over defects at The Sail condo to be heard in court next month, retrieved 2026-10-22
How PropGPT works out every line
Cost to buy, hold and sell · Fact
S$36,520 in stamp duty for the cheapest unit
Profit only starts after these costs are covered.
Based on today's IRAS stamp duty rates
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What it compares
Stamp duties under the current IRAS rates for the price shown.
The figures
Stamp duty on S$1.30M: S$36,520 (assumes a Singapore citizen buying a first home)
Selling within 4 years of buying costs seller's stamp duty of 16% falling to 4%; buying now, that ends around Nov 2030.
Interest is paid only on the loan drawn so far; payments rise as the building goes up.
How fair is this comparison?
Very fair. Worked out for this price.
What this check cannot see
Assumes a Singapore citizen buying a first home until you add your details.
How PropGPT works out every line

Good to know (not judged)

Sales so far · Fact
82.5% sold in 9 months
Fast sales show interest, but projects that sold fast have later made losses and slow sellers have made gains. Not a sign of profit.
Project size · Fact
246 homes
Big projects have more facilities but more owners selling against you at the same time.
Government land sales and big developments nearby · Fact
1 planned within about 2 km
New land sales add competing homes; new stations, malls and offices add demand. Both are public, so prices may already include them.
Based on PropGPT research, 22 Oct 2026
Show the calculationHide the calculation
The figures
Upcoming Prince Edward Road and Cantonment stations on the Circle Line, with a link bridge to Prince Edward Road station
Sources
CDL newsroom: CDL kicks off 2026 with the launch of Newport Residences, retrieved 2026-10-22
How PropGPT works out every line
Growth-area plans · Fact
At the cusp of the future Greater Southern Waterfront
Growth areas are planned for decades and are public, so prices often include them already.
Based on PropGPT research, 22 Oct 2026
Show the calculationHide the calculation
Sources
CDL newsroom: CDL kicks off 2026 with the launch of Newport Residences, retrieved 2026-10-22
How PropGPT works out every line

PropGPT calculations from URA and data.gov.sg, updated 2 Nov 2026. PropGPT is not a licensed estate agency and does not act for buyers or sellers. These figures are not a valuation, a forecast or financial advice, and past results nearby do not predict future returns. How each line is worked out

What you would pay

For the cheapest 1BR / 1BR + Study at S$1,298,000. Estimates, not financial advice.

Monthly loan payment: S$4,104
Cash and CPF needed upfront: S$364,020at least S$64,900 of it in cash
: S$36,520
: S$0

PropGPT calculation: at 3.0% over 30 years; upfront = price − loan + stamp duties + about S$3,000 legal fees. Banks require at least 5% of the price in cash; the rest can come from CPF. Stamp duty assumes a Singapore citizen buying a first home. Add your details for your own figures. You can change the loan assumptions in Compare.

Unit types and prices

As published by the developer or reported in the press. Availability changes daily; confirm with the developer.

1BR / 1BR + Studyfrom S$1,298,000
431 to 581 sq ftS$3,012 psf
2BR / 2BR Premiumfrom S$1,968,000
646 to 926 sq ftS$3,046 psf
3BR / 3BR Premiumfrom S$3,238,000
980 to 1,227 sq ftS$3,304 psf
4BR Premiumfrom S$8,280,000
2,067 sq ftS$4,006 psf

Type	Size (sq ft)	Price
1BR / 1BR + Study	431 to 581	from S$1,298,000	S$3,012
2BR / 2BR Premium	646 to 926	from S$1,968,000	S$3,046
3BR / 3BR Premium	980 to 1,227	from S$3,238,000	S$3,304
4BR Premium	2,067	from S$8,280,000	S$4,006

Price per square foot of actual sales, by month

URA caveats lodged for new sales; median per month calculated by PropGPT. Months with no sales are left out.

Nearby homes and what they sold for

Private condos and apartments within 1.5 km sold in the last 12 months (URA). Use this to judge whether the price is high or low for the area.

10 nearby projects, median from S$1,120 to S$2,653. Show the list

Project	Distance	Tenure	Median PSF	Typical size	Sales
ONE BERNAM	75 m	99-year from 2019	S$2,653	781 sq ft	4
ALTEZ	173 m	99-year from 2008	S$2,259	1,109 sq ft	13
SKYSUITES@ANSON	199 m	99-year from 2008	S$2,276	667 sq ft	12
76 SHENTON	209 m	99-year from 2007	S$1,985	592 sq ft	16
ICON	238 m	99-year from 2002	S$1,768	700 sq ft	31
LUMIERE	285 m	99-year from 2006	S$1,622	635 sq ft	1
EON SHENTON	290 m	99-year from 2011	S$2,255	571 sq ft	4
THE ARRIS	347 m	Freehold	S$2,424	990 sq ft	3
INTERNATIONAL PLAZA	398 m	99-year from 1970	S$1,120	1,270 sq ft	4
THE BEACON	466 m	99-year from 2004	S$1,822	1,039 sq ft	4

Location

Nearest MRT station: Prince Edward Road MRT Station; 210 m · ~3 min walk
Nearest school: Cantonment Primary School; 486 m · ~7 min walk
Nearest park: Tras Link Pk; 364 m · ~5 min walk
Nearest supermarket: Cold Storage Singapore (1983) Pte Ltd (Altez (Units: #01-05/06/07/08)); 174 m · ~3 min walk

Newport ResidencesMRT stationSchoolParkSupermarket

Open data from LTA, NParks, MOE and SFA (data.gov.sg), located with OneMap. Malls are not shown: no open dataset exists. Map: OpenFreeMap, OpenStreetMap contributors.

What next?

Add Newport Residences to Compare and put it next to two or three others, or go back to all launches. Before you commit, visit the showflat and confirm prices with the developer.