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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 37

Stratton Green

NIM GREEN · D28

Median PSF · 12m

S$2,122

Median price · 12m

S$4.18M

Latest sale

S$4.18M

Dec 2025

1-year change

+4.1%

Sales · 12m

1

10 all time

Gross yield

2.05%

1 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
+49.9%
Annualised
+26.0%
Transactions
10
1 year
+4.1%
3 years p.a.
+6.4%
5 years p.a.
+8.4%
Median size
1,970 sqft

Against the neighbourhood

How it compares within D28

Seletar, Yio Chu Kang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureStratton GreenD28 medianDifference
Median PSFS$2,122S$1,535+38.3%
Median priceS$4.18MS$1.43M+193.3%
Gross rental yield2.05%3.34%-1.3 pts
1-year price change+4.1%+3.1%+1.0 pts

This development trades about 38% above the D28 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$7,000

Contracts · 12m

1

Implied annual rent

S$84K

Gross yield

2.05%

Unit typeContractsMedian rent
All units1S$7,000

Investment analysis

Investment score 37 / 100

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

37/100

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.

  • Price momentumweight 18%79

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

  • Supply riskweight 10%69

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

  • Liquidityweight 15%56

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

  • Rental yieldweight 20%23

    Gross yield against every other development in its segment.

  • Valuationweight 22%12

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

  • Locationweight 15%2

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Fernvale LRT at 1.5 km.

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

  • Fernvale LRT1.5 km
  • Tavistock MRT1.5 km
  • Serangoon North MRT1.7 km
  • Layar LRT1.8 km

Schools within 2 km

  • Fernvale Primary Schoolprimary1.2 km
  • Sengkang Green Primary Schoolprimary1.5 km
  • Rosyth Schoolprimary1.5 km
  • Pei Hwa Secondary Schoolsecondary (s1-s5)1.6 km
  • Serangoon Garden Secondary Schoolsecondary (s1-s5)1.6 km
  • Hougang Primary Schoolprimary1.8 km

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

Supply

Upcoming competition

  • Luxus HillsSingapore United Estates Pte Ltd161 units1.1 km
  • Luxus HillsSingapore United Estates Pte Ltd159 units1.1 km
  • Luxus HillsSingapore United Estates Pte Ltd156 units1.1 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Dec 2025TerraceS$4,180,0001,970 sqftS$2,122-
Mar 2025TerraceS$4,088,0001,970 sqftS$2,075-
Feb 2025TerraceS$3,880,0001,938 sqftS$2,003-
Jun 2024TerraceS$4,380,0002,616 sqftS$1,675-
May 2024TerraceS$4,250,0002,619 sqftS$1,623-
Nov 2023TerraceS$3,500,0001,707 sqftS$2,050-
Oct 2023TerraceS$3,600,0001,938 sqftS$1,858-
Aug 2023TerraceS$4,550,0002,583 sqftS$1,761-
Oct 2021TerraceS$4,000,0003,457 sqftS$1,157-
Sep 2021TerraceS$3,580,0002,528 sqftS$1,416-

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.