Skip to content
SG Property Intel
Semi-detachedFreeholdRest of Central RegionInvestment score 47

Landed Housing Development

JALAN MELOR · D13

Median PSF · 12m

S$2,020

Median price · 12m

S$6.20M

Latest sale

S$6.00M

Aug 2026

1-year change

+6.3%

Sales · 12m

4

12 all time

Gross yield

no rental data

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
+17.6%
Annualised
+11.4%
Transactions
12
1 year
+6.3%
3 years p.a.
-1.8%
5 years p.a.
Median size
2,442 sqft

Against the neighbourhood

How it compares within D13

Macpherson, Braddell, Potong Pasir. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD13 medianDifference
Median PSFS$2,020S$2,035-0.8%
Median priceS$6.20MS$2.08M+198.1%
Gross rental yield3.20%
1-year price change+6.3%+2.7%+3.6 pts

This development trades broadly in line with the D13 median.

Rental

Rent and yield

From URA private residential rental contracts.

No rental contracts have been recorded here in the last 12 months, so a yield cannot be measured for this development.

Investment analysis

Investment score 47 / 100

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

47/100

80% 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.

  • Supply riskweight 10%100

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

  • Liquidityweight 15%82

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

  • Locationweight 15%44

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Mattar MRT at 560 m.

  • Valuationweight 22%30

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

  • Price momentumweight 18%14

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

  • Rental yieldweight 20%not measurable

    Gross yield against every other development in its segment.

Not enough data to score rental yield.

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

  • Mattar MRT560 m
  • Tai Seng MRT570 m
  • Macpherson MRT860 m
  • Macpherson Interchange MRT870 m

Schools within 2 km

  • Canossa Catholic Primary Schoolprimary640 m
  • Bartley Secondary Schoolsecondary (s1-s5)930 m
  • Cedar Primary Schoolprimary1.1 km
  • Cedar Girls' Secondary Schoolsecondary (s1-s4)1.2 km
  • Maris Stella High Schoolmixed level (p1-s4)1.3 km
  • Geylang Methodist School (Primary)primary1.6 km

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

Supply

Upcoming competition

No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2026TerraceS$6,000,0002,395 sqftS$2,505-
Aug 2026TerraceS$6,000,0002,395 sqftS$2,505-
Nov 2025Semi-detachedS$6,400,0004,172 sqftS$1,534-
Nov 2025Semi-detachedS$6,400,0004,172 sqftS$1,534-
Feb 2025TerraceS$4,550,0002,395 sqftS$1,900-
Feb 2025TerraceS$4,550,0002,395 sqftS$1,900-
Sep 2024TerraceS$7,650,0005,400 sqftS$1,417-
Sep 2024TerraceS$7,650,0005,400 sqftS$1,417-
Apr 2024TerraceS$4,090,0002,394 sqftS$1,709-
Apr 2024TerraceS$4,090,0002,394 sqftS$1,709-
Jul 2023Semi-detachedS$5,300,0002,489 sqftS$2,130-
Jul 2023Semi-detachedS$5,300,0002,489 sqftS$2,130-

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.