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SG Property Intel
Strata TerraceFreeholdRest of Central RegionInvestment score 49

Palacio

LORONG M TELOK KURAU · D15

Median PSF · 12m

S$954

Median price · 12m

S$3.80M

Latest sale

S$3.80M

Jan 2026

1-year change

-9.5%

Sales · 12m

1

7 all time

Gross yield

2.76%

2 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
+18.2%
Annualised
+14.3%
Transactions
7
1 year
-9.5%
3 years p.a.
5 years p.a.
Median size
3,907 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
MeasurePalacioD15 medianDifference
Median PSFS$954S$2,319-58.9%
Median priceS$3.80MS$2.90M+31.0%
Gross rental yield2.76%2.96%-0.2 pts
1-year price change-9.5%-6.4%-3.1 pts

This development trades about 59% below the D15 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$8,900

Contracts · 12m

2

Implied annual rent

S$107K

Gross yield

2.76%

Unit typeContractsMedian rent
All units2S$8,900

Investment analysis

Investment score 49 / 100

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

49/100

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.

  • Valuationweight 22%98

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

  • Locationweight 15%62

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marine Terrace MRT at 570 m.

  • Liquidityweight 15%56

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

  • Rental yieldweight 20%39

    Gross yield against every other development in its segment.

  • Supply riskweight 10%8

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

  • Price momentumweight 18%3

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

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 MRT570 m
  • Marine Parade MRT1.0 km
  • Kembangan MRT1.1 km
  • Eunos MRT1.4 km

Schools within 2 km

  • Chij (Katong) Primaryprimary500 m
  • Tao Nan Schoolprimary630 m
  • St. Patrick'S Schoolsecondary (s1-s5)700 m
  • Chij Katong Conventsecondary (s1-s5)750 m
  • Ngee Ann Primary Schoolprimary840 m
  • Victoria Junior Collegejunior college1.0 km

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units510 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units870 m
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units1.5 km
  • AMBER HOUSEUrban Park Pte Ltd105 units1.7 km
  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units1.9 km
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units1.9 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jan 2026Strata TerraceS$3,800,0003,983 sqftS$954-
Oct 2024Strata TerraceS$3,939,0003,735 sqftS$1,055-
Sep 2022Strata TerraceS$3,450,0003,746 sqftS$921-
Jun 2022Strata TerraceS$3,680,0003,907 sqftS$942-
May 2022Strata TerraceS$3,690,0003,907 sqftS$944-
Nov 2021Strata TerraceS$3,300,0003,983 sqftS$829-
Oct 2021Strata TerraceS$3,080,0003,918 sqftS$786-

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.