Skip to content
SGPropertyIntel
Terrace999-yearOutside Central RegionInvestment score 36

Palm Grove Terrace

PALM GROVE AVENUE · D19

Median PSF · 12m

S$2,738

Median price · 12m

S$4.75M

Latest sale

S$4.75M

Sep 2026

1-year change

+11.2%

Sales · 12m

1

9 all time

Gross yield

0.96%

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
+36.7%
Annualised
+16.9%
Transactions
9
1 year
+11.2%
3 years p.a.
+10.4%
5 years p.a.
Median size
1,693 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
MeasurePalm Grove TerraceD19 medianDifference
Median PSFS$2,738S$1,626+68.4%
Median priceS$4.75MS$1.57M+202.5%
Gross rental yield0.96%3.44%-2.5 pts
1-year price change+11.2%+4.8%+6.4 pts

This development trades about 68% above the D19 median price per square foot.

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 36 / 100

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

36/100

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%91

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

  • Liquidityweight 15%56

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

  • Supply riskweight 10%46

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

  • Locationweight 15%31

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kovan MRT at 710 m.

  • Valuationweight 22%7

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

  • Rental yieldweight 20%2

    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

  • Kovan MRT710 m
  • Serangoon North MRT1.2 km
  • Serangoon MRT1.3 km
  • Serangoon Interchange MRT1.3 km

Schools within 2 km

  • Peicai Secondary Schoolsecondary (s1-s5)940 m
  • Zhonghua Primary Schoolprimary1.0 km
  • Anderson Serangoon Junior Collegejunior college1.1 km
  • Bowen Secondary Schoolsecondary (s1-s5)1.1 km
  • Paya Lebar Methodist Girls' School (Secondary)secondary (s1-s5)1.3 km
  • Xinmin Primary Schoolprimary1.3 km

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

Supply

Upcoming competition

  • JANSEN HOUSEMequity GS Pte Ltd21 units220 m
  • Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units1.7 km
  • CHUAN PARKChuan Park Development Pte. Ltd.916 units1.7 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026TerraceS$4,750,0001,735 sqftS$2,738-
Jan 2025TerraceS$4,020,0001,633 sqftS$2,462-
Sep 2024TerraceS$4,100,0001,735 sqftS$2,363-
Jul 2024TerraceS$3,800,0001,646 sqftS$2,309-
Jul 2023TerraceS$4,220,0002,322 sqftS$1,818-
Feb 2023TerraceS$3,750,0001,664 sqftS$2,253-
Sep 2022TerraceS$3,630,0001,693 sqftS$2,144-
May 2022TerraceS$4,400,0003,326 sqftS$1,323-
Feb 2022TerraceS$3,260,0001,628 sqftS$2,003-

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.