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Canberra Crescent Residences

, Sembawang, North · 99-year leasehold · Launched

Canberra Crescent Residences is a 376-unit, 99-year leasehold condominium of four 12-storey blocks at Canberra Crescent in Sembawang, developed by a Kheng Leong Co and Low Keng Huat joint venture. It is near Bukit Canberra and about 12 minutes from Canberra MRT station.

From
S$880Kmay be outdated
Lowest
S$1,892calculated

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 ()
2029
Nearest MRT or LRT
700 m · ~9 min walkcalculated
so far
351 of 376 (93.4%)
Recent sales, median
S$2,016 psfcalculated
, median
S$1,268 psfcalculated
99-year leasehold
Developer
Peak Crescent Pte Ltd
Launched
2 Aug 2025

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

Is it worth buying?

PropGPT financial score

42out of 100

Weak 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
PartMark
Price vs similar homes nearby24% of the scoreCosts 30% more than similar older homes nearby; usually 17% more.0
Rental yield vs typical18% of the scoreRent of about 2.4% of the price a year; typical is 2.4%.57
Price vs other new launches nearbynot countedNot known yet.Not known
Price vs launches in the regionnot countedNot known yet.Not known
Price vs the developer's likely breakeven12% of the scorePriced at 1.82 times the developer's likely cost.0
Value lost to the lease in the next 10 years12% of the scoreAbout 97 years left: the lease takes about 2.3% off its value in the next 10 years.77
Nearby homes that beat the market12% of the score4 of 7 nearby projects beat the market.62
Distance to the MRT12% of the score700 m to the nearest station.56
Competing homes finishing nearby6% of the scoreNo competing homes finishing nearby around the same time.100
Developer's track record6% of the scoreNo problems reported, but few completed projects.50

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 1Neutral 5Watch out 2Not known yet 2

Am I paying a fair price?

  • Price vs similar resale homes nearby · Watch out

    Costs about 30% 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$2,016 psf
    Usual for a launch here
    S$1,828 psf
    Similar homes nearby
    S$1,556 psf

    Based on 92 resales, Nov 2025 to Nov 2026 · a rough guide only

    Show 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, 327–1,589 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 2029) 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$2,016 psf, the median of its own new sales in the last 12 months.
    • Nearby resale: S$1,556 psf, the median of 92 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: 92 of 92 nearby sales are also scaled to this project's age (a new building, expected TOP 2029), 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$2,016 psf ÷ S$1,556 psf − 1 = +30%. 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 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 (327–1,589 sq ft).

    How PropGPT works out every line

  • Price vs launches in this region · Not known yet

    Not known yet

    Fewer than 5 others to compare with.

    Show 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).

    How PropGPT works out every line

  • Land cost vs launch price · Watch out

    Priced at about 1.82 times the developer's likely cost

    Priced well above what the project likely cost the developer, so the developer has room to give discounts later. Do not rush.

    This launch
    S$2,016 psf
    Developer's likely cost
    S$1,110 psf

    Based on the land price from PropGPT research, 21 Oct 2026

    Show the calculation

    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.

    The figures

    • Land: S$793 per sq ft of plot ratio, Government Land Sales tender in 2024
    • Likely breakeven: about S$1,110 psf (land × 1.4: land plus construction, financing and fees)
    • This project: S$2,016 psf; S$2,016 psf ÷ S$1,110 psf = 1.82. In your favour under 1.15; watch out at 1.3 or more.

    How fair is this comparison?

    Fair. This project's own land and price; only the cost of building is estimated.

    What this check cannot see

    • × 1.4 is a rule of thumb; consultants' estimates for a site differ, and construction costs rose sharply after 2021.
    • The land price may or may not include a lease top-up or development charge; the research notes say which when known.
    • Land bought years ago is cheaper in today's money, so older land makes the margin look bigger.

    How PropGPT works out every line

Can it earn or hold its value?

  • Rental yield · Neutral

    About 2.4% of the price a year in rent, before costs

    Close to the typical 2.4% for launches selling now.

    This launch
    2.4%
    Typical for launches selling now
    2.4%

    Based on 369 rental contracts, Q1 2026 to Q3 2026

    Show 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$4.10 per sq ft a month, median of 369 contracts (URA, Q1 2026 to Q3 2026)
    • Yield = S$4.10 × 12 ÷ S$2,016 psf = 2.4%. 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 · Neutral

    99-year leasehold

    A lease loses value slowly at first, then faster: about 96% of a freehold home's value when new, 91% with 80 years left, 80% with 60 years left.

    Based on URA's title record

    Show the calculation

    What it compares

    The title's tenure, as recorded by URA.

    The figures

    • SLA leasehold table (Bala's Table).

    How fair is this comparison?

    Very fair. A fact about this home.

    What this check cannot see

    • Bala's Table describes land value; what buyers pay for old leases does not follow it exactly.

    How PropGPT works out every line

  • How nearby homes' prices moved · Neutral

    4 of 7 nearby projects rose faster than the whole market

    Homes around here have moved roughly with the market.

    Based on 7 nearby projects, sales from Oct 2021 · a rough guide only

    Show the calculation

    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

    • CANBERRA RESIDENCES (732 m): +28% from 2022-Q1 to 2026-Q2; market +25%
    • THE COMMODORE (950 m): +13% from 2021-Q4 to 2026-Q2; market +25%
    • THE NAUTICAL (1,020 m): +18% from 2022-Q2 to 2026-Q2; market +21%
    • YISHUN SAPPHIRE (1,091 m): +30% from 2022-Q1 to 2026-Q1; market +26%
    • THE WATERGARDENS AT CANBERRA (1,117 m): +18% from 2022-Q2 to 2026-Q1; market +21%
    • YISHUN EMERALD (1,176 m): +33% from 2022-Q2 to 2026-Q2; market +21%
    • 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 · Neutral

    700 m to Canberra MRT Station

    A walk of several minutes to the station.

    Based on LTA station exits and URA Master Plan 2019, worked out 4 Nov 2026

    Show the calculation

    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: Teck Ghee (planned), 9,481 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 · In your favour

    No other unfinished projects within 1.5 km due around the same time

    No competition from other new homes when you want to rent out or sell.

    Based on URA's list of projects not yet completed, worked out 4 Nov 2026

    Show the calculation

    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 · Neutral

    no problems found in the news

    No problems found in the news, but few completed projects to judge by.

    Show the calculation

    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).

    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.

    How PropGPT works out every line

  • Cost to buy, hold and sell · Fact

    S$21,000 in stamp duty for the cheapest unit

    Profit only starts after these costs are covered.

    Based on today's IRAS stamp duty rates

    Show the calculation

    What it compares

    Stamp duties under the current IRAS rates for the price shown.

    The figures

    • Stamp duty on S$880K: S$21,000 (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

    93.4% sold in 15 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

    376 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, 21 Oct 2026

    Show the calculation

    The figures

    • Kheng Leong's 448-unit The Watergardens at Canberra, launched in 2021 with UOL Group and Singapore Land Group, is in the same Canberra area.

    How PropGPT works out every line

  • Growth-area plans · Fact

    Not in a named growth area, as far as PropGPT found

    Growth areas are planned for decades and are public, so prices often include them already.

PropGPT calculations from URA and data.gov.sg, updated 3 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 at S$880,000. Estimates, not financial advice.

Monthly loan payment
S$2,783
Cash and CPF needed upfront
S$244,000at least S$44,000 of it in cash
S$21,000
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.

  • 1BRmay be outdatedfrom S$880,000

    409 sq ftS$2,152 psf

  • 2BRmay be outdatedfrom S$1,110,000

    570 to 667 sq ftS$1,947 psf

  • 3BRmay be outdatedfrom S$1,530,000

    797 to 990 sq ftS$1,920 psf

  • 4BRmay be outdatedfrom S$2,200,000

    1,163 to 1,324 sq ftS$1,892 psf

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.

9 nearby projects, median from S$1,068 to S$1,723. Show the list
ProjectDistanceTenureMedian PSFTypical sizeSales
CANBERRA RESIDENCES732 m99-year from 2010S$1,230920 sq ft8
THE COMMODORE950 m99-year from 2020S$1,706969 sq ft23
THE NAUTICAL1,020 m99-year from 2011S$1,3071,119 sq ft12
KANDIS RESIDENCE1,074 m99-year from 2016S$1,270764 sq ft5
YISHUN SAPPHIRE1,091 m99-year from 1998S$1,1071,265 sq ft18
THE WATERGARDENS AT CANBERRA1,117 m99-year from 2020S$1,723958 sq ft34
SUN PLAZA1,117 m99-year from 1996S$1,0681,211 sq ft2
YISHUN EMERALD1,176 m99-year from 1998S$1,1301,184 sq ft13
EIGHT COURTYARDS1,251 m99-year from 2010S$1,3941,130 sq ft17

Location

Nearest MRT station
Canberra MRT Station
700 m · ~9 min walk
Nearest school
Wellington Primary School
819 m · ~11 min walk
Nearest park
Pebble Garden
81 m · ~2 min walk
Nearest supermarket
Cold Storage Singapore (1983) Pte Ltd (Sembawang Shopping Centre)
1.0 km · ~13 min walk
Canberra Crescent 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 Canberra Crescent 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.

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