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SGPropertyIntel
ApartmentFreeholdOutside Central RegionInvestment score 52

The Yardley

UPPER SERANGOON ROAD · D19

Median PSF · 12m

S$1,950

Median price · 12m

S$2.68M

Latest sale

S$2.77M

Sep 2026

1-year change

—

Sales · 12m

3

11 all time

Gross yield

2.51%

3 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
+24.9%
Annualised
+9.3%
Transactions
11
1 year
—
3 years p.a.
+5.9%
5 years p.a.
—
Median size
1,281 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureThe YardleyD19 medianDifference
Median PSFS$1,950S$1,626+19.9%
Median priceS$2.68MS$1.58M+69.6%
Gross rental yield2.51%3.43%-0.9 pts
1-year price change—+3.8%—

This development trades about 20% above the D19 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,000

Contracts · 12m

3

Implied annual rent

S$72K

Gross yield

2.51%

Unit typeContractsMedian rent
3 bedroom3S$6,000

Investment analysis

Investment score 52 / 100

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

52/100

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.

  • Locationweight 15%78

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

  • Liquidityweight 15%77

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

  • Price momentumweight 18%77

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

  • Supply riskweight 10%41

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

  • Rental yieldweight 20%33

    Gross yield against every other development in its segment.

  • Valuationweight 22%18

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

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

  • Kovan MRT350 m
  • Serangoon MRT1.3 km
  • Serangoon Interchange MRT1.4 km
  • Bartley MRT1.7 km

Schools within 2 km

  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)810 m
  • Yuying Secondary Schoolsecondary (s1-s5)850 m
  • Xinghua Primary Schoolprimary880 m
  • Anderson Serangoon Junior Collegejunior college950 m
  • Paya Lebar Methodist Girls' School (Primary)primary1.0 km
  • Peicai Secondary Schoolsecondary (s1-s5)1.4 km

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

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units710 m

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026ApartmentS$2,770,0001,421 sqftS$1,95011-15—
May 2026ApartmentS$2,450,0001,281 sqftS$1,91306-10—
Feb 2026ApartmentS$2,680,0001,270 sqftS$2,11006-10—
Jul 2024ApartmentS$2,265,0001,270 sqftS$1,78301-05—
Jan 2024ApartmentS$2,200,0001,270 sqftS$1,73211-15—
Oct 2023ApartmentS$2,100,0001,270 sqftS$1,65306-10—
Sep 2023ApartmentS$2,085,0001,281 sqftS$1,62806-10—
Aug 2022ApartmentS$1,850,0001,324 sqftS$1,39701-05—
Jun 2022ApartmentS$2,030,0001,302 sqftS$1,55911-15—
May 2022ApartmentS$1,970,0001,270 sqftS$1,55106-10—
Mar 2022ApartmentS$2,000,0001,281 sqftS$1,56106-10—

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.