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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 45

Bartley Rise Estate

EDEN GROVE · D19

Median PSF · 12m

S$2,418

Median price · 12m

S$6.05M

Latest sale

S$7.50M

Jun 2026

1-year change

+66.1%

Sales · 12m

2

10 all time

Gross yield

1.18%

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
+53.2%
Annualised
+27.6%
Transactions
10
1 year
+66.1%
3 years p.a.
5 years p.a.
Median size
2,524 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
MeasureBartley Rise EstateD19 medianDifference
Median PSFS$2,418S$1,626+48.7%
Median priceS$6.05MS$1.58M+282.9%
Gross rental yield1.18%3.42%-2.2 pts
1-year price change+66.1%+4.9%+61.3 pts

This development trades about 49% above the D19 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,600

Contracts · 12m

2

Implied annual rent

S$79K

Gross yield

1.18%

Unit typeContractsMedian rent
All units2S$6,600

Investment analysis

Investment score 45 / 100

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

45/100

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%99

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

  • Liquidityweight 15%69

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

  • Locationweight 15%52

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Serangoon MRT at 640 m.

  • Supply riskweight 10%46

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

  • Valuationweight 22%14

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

  • Rental yieldweight 20%4

    Gross yield against every other development in its segment.

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

  • Serangoon MRT640 m
  • Serangoon Interchange MRT640 m
  • Woodleigh MRT640 m
  • Bartley MRT860 m

Schools within 2 km

  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)490 m
  • Zhonghua Secondary Schoolsecondary (s1-s5)510 m
  • Yangzheng Primary Schoolprimary590 m
  • Maris Stella High Schoolmixed level (p1-s4)740 m
  • Nanyang Junior Collegejunior college880 m
  • Cedar Primary Schoolprimary1.1 km

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

Supply

Upcoming competition

  • CHUAN PARKChuan Park Development Pte. Ltd.916 units1.1 km
  • Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.1 km
  • JANSEN HOUSEMequity GS Pte Ltd21 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jun 2026TerraceS$7,500,0002,960 sqftS$2,534-
Feb 2026TerraceS$4,600,0001,998 sqftS$2,303-
Jul 2025DetachedS$7,150,0005,029 sqftS$1,422-
Jul 2025TerraceS$6,120,0004,070 sqftS$1,504-
Jul 2025TerraceS$3,100,0002,088 sqftS$1,485-
Mar 2025DetachedS$7,818,8885,480 sqftS$1,427-
Jun 2024TerraceS$4,450,0001,644 sqftS$2,707-
Apr 2024TerraceS$5,108,0001,660 sqftS$3,077-
Jun 2022TerraceS$3,080,0003,684 sqftS$836-
Mar 2022TerraceS$3,100,0001,874 sqftS$1,654-

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.