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SG Property Intel
Condominium99-yearRest of Central RegionInvestment score 56

Cote D'Azur

MARINE PARADE ROAD · D15

Median PSF · 12m

S$1,875

Median price · 12m

S$2.67M

Latest sale

S$2.61M

Sep 2026

1-year change

+0.5%

Sales · 12m

22

101 all time

Gross yield

3.45%

84 leases

Price history

How this development has traded

Median transacted price and price per square foot by quarter, from every sale on record here.

Change over window
+31.6%
Annualised
+5.4%
Transactions
101
1 year
+0.5%
3 years p.a.
+2.4%
5 years p.a.
+5.0%
Median size
1,281 sqft

Against the neighbourhood

How it compares within D15

Katong, Joo Chiat, Amber Road, Marine Parade. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureCote D'AzurD15 medianDifference
Median PSFS$1,875S$1,833+2.3%
Median priceS$2.67MS$2.14M+24.5%
Gross rental yield3.45%4.13%-0.7 pts
1-year price change+0.5%+2.3%-1.8 pts

This development trades broadly in line with the D15 median.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,600

Contracts · 12m

84

Implied annual rent

S$67K

Gross yield

3.45%

Unit typeContractsMedian rent
2 bedroom33S$5,200
3 bedroom31S$6,300
1 bedroom12S$4,000
4 bedroom8S$7,350

Investment analysis

Investment score 56 / 100

Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.

56/100

100% of the scoring weight measurable

Every bar is a percentile rank, so 70 means this development sits above roughly 70% of its peers on that factor. Factors we cannot measure are excluded and the remaining weights are rebalanced, rather than scored as zero.

  • Liquidityweight 15%96

    Transactions in the last 12 months — how easily it trades.

  • Locationweight 15%82

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marine Terrace MRT at 350 m.

  • Rental yieldweight 20%61

    Gross yield against every other development in its segment.

  • Price momentumweight 18%43

    Three-year annualised change in median PSF, or one year where three is unavailable.

  • Valuationweight 22%40

    How its median price per square foot compares with its own district.

  • Supply riskweight 10%8

    Upcoming units recorded in the same district. Higher score means less competing supply.

The investment score is an analytical indicator computed from transaction and location data. It is not a recommendation, a forecast, or financial advice.

Location

Nearby amenities

Rail stations

  • Marine Terrace MRT350 m
  • Marine Parade MRT1.3 km
  • Siglap MRT1.3 km
  • Kembangan MRT1.6 km

Schools within 2 km

  • St. Patrick'S Schoolsecondary (s1-s5)70 m
  • Chij Katong Conventsecondary (s1-s5)160 m
  • Victoria Junior Collegejunior college230 m
  • Ngee Ann Primary Schoolprimary230 m
  • Tao Nan Schoolprimary770 m
  • Chij (Katong) Primaryprimary790 m

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units1.3 km
  • KOON SENG HOUSEMequity K Pte Ltd17 units1.6 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026CondominiumS$2,608,0001,313 sqftS$1,98606-1073 yr 4 mo
Sep 2026CondominiumS$2,080,0001,109 sqftS$1,87601-0573 yr 4 mo
Aug 2026CondominiumS$2,950,0001,367 sqftS$2,15811-1573 yr 5 mo
Jul 2026CondominiumS$2,750,0001,862 sqftS$1,47701-0573 yr 6 mo
Jul 2026CondominiumS$2,750,0001,281 sqftS$2,14706-1073 yr 6 mo
Jul 2026CondominiumS$2,200,0001,421 sqftS$1,54801-0573 yr 6 mo
Jun 2026CondominiumS$3,575,0001,679 sqftS$2,12916-2073 yr 7 mo
May 2026CondominiumS$3,200,0002,045 sqftS$1,56501-0573 yr 8 mo
May 2026CondominiumS$2,630,0001,550 sqftS$1,69701-0573 yr 8 mo
May 2026CondominiumS$2,198,0001,109 sqftS$1,98316-2073 yr 8 mo
May 2026CondominiumS$2,050,0001,152 sqftS$1,78006-1073 yr 8 mo
May 2026CondominiumS$1,500,000840 sqftS$1,78711-1573 yr 8 mo
Apr 2026CondominiumS$2,750,0001,313 sqftS$2,09416-2073 yr 9 mo
Apr 2026CondominiumS$2,700,0001,292 sqftS$2,09016-2073 yr 9 mo
Mar 2026CondominiumS$2,700,0001,292 sqftS$2,09016-2073 yr 10 mo
Mar 2026CondominiumS$2,100,0001,141 sqftS$1,84106-1073 yr 10 mo
Feb 2026CondominiumS$3,220,0001,539 sqftS$2,09211-1573 yr 11 mo
Jan 2026CondominiumS$2,838,8001,539 sqftS$1,84401-0574 yrs
Jan 2026CondominiumS$2,708,0001,313 sqftS$2,06211-1574 yrs
Jan 2026CondominiumS$1,480,000840 sqftS$1,76301-0574 yrs
Nov 2025CondominiumS$2,035,0001,109 sqftS$1,83606-1074 yr 2 mo
Oct 2025CondominiumS$2,138,8881,141 sqftS$1,87506-1074 yr 3 mo
Sep 2025CondominiumS$2,940,0001,539 sqftS$1,91006-1074 yr 4 mo
Sep 2025CondominiumS$2,060,0001,152 sqftS$1,78906-1074 yr 4 mo
Sep 2025CondominiumS$1,980,0001,109 sqftS$1,78601-0574 yr 4 mo
Aug 2025CondominiumS$2,590,0001,389 sqftS$1,86506-1074 yr 5 mo
Jun 2025CondominiumS$2,750,0001,281 sqftS$2,14716-2074 yr 7 mo
May 2025CondominiumS$2,100,0001,109 sqftS$1,89416-2074 yr 8 mo
May 2025CondominiumS$2,050,0001,141 sqftS$1,79716-2074 yr 8 mo
Apr 2025CondominiumS$2,580,0001,367 sqftS$1,88701-0574 yr 9 mo
Apr 2025CondominiumS$2,080,0001,109 sqftS$1,87616-2074 yr 9 mo
Mar 2025CondominiumS$3,180,0001,539 sqftS$2,06611-1574 yr 10 mo
Mar 2025CondominiumS$2,150,0001,152 sqftS$1,86721-2574 yr 10 mo
Mar 2025CondominiumS$2,060,0001,141 sqftS$1,80511-1574 yr 10 mo
Mar 2025CondominiumS$2,050,0001,109 sqftS$1,84901-0574 yr 10 mo
Feb 2025CondominiumS$1,910,0001,141 sqftS$1,67401-0574 yr 11 mo
Jan 2025CondominiumS$3,100,0001,679 sqftS$1,84606-1075 yrs
Jan 2025CondominiumS$2,590,0001,389 sqftS$1,86506-1075 yrs
Oct 2024CondominiumS$3,200,0002,357 sqftS$1,35721-2575 yr 3 mo
Oct 2024CondominiumS$2,850,0001,302 sqftS$2,18816-2075 yr 3 mo

Showing the 40 most recent of 101 recorded transactions.

Important

Property values shown are estimates generated from available transaction and market data and are not official valuations. Actual transaction prices may differ. Data availability and accuracy depend on the underlying source datasets. Users should conduct their own due diligence and seek professional advice where appropriate.