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SG Property Intel
Terrace99-yearOutside Central RegionInvestment score 65

Landed Housing Development

PINEWOOD GROVE · D25

Median PSF · 12m

S$1,419

Median price · 12m

S$2.75M

Latest sale

S$2.75M

Oct 2025

1-year change

Sales · 12m

2

10 all time

Gross yield

5.67%

4 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
+16.0%
Annualised
+12.6%
Transactions
10
1 year
3 years p.a.
+10.7%
5 years p.a.
Median size
2,583 sqft

Against the neighbourhood

How it compares within D25

Woodlands, Admiralty. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD25 medianDifference
Median PSFS$1,419S$1,217+16.6%
Median priceS$2.75MS$1.28M+114.8%
Gross rental yield5.67%4.16%+1.5 pts
1-year price change+1.5%

This development trades about 17% above the D25 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$12,250

Contracts · 12m

4

Implied annual rent

S$147K

Gross yield

5.67%

Unit typeContractsMedian rent
All units4S$12,250

Investment analysis

Investment score 65 / 100

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

65/100

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.

  • Rental yieldweight 20%98

    Gross yield against every other development in its segment.

  • Price momentumweight 18%91

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

  • Supply riskweight 10%85

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

  • Liquidityweight 15%69

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

  • Locationweight 15%33

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marsiling MRT at 830 m.

  • Valuationweight 22%23

    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

  • Marsiling MRT830 m
  • Woodlands MRT1.2 km
  • Woodlands Interchange MRT1.2 km
  • Woodlands South MRT1.6 km

Schools within 2 km

  • Fuchun Primary Schoolprimary330 m
  • Woodlands Ring Secondary Schoolsecondary (s1-s5)390 m
  • Si Ling Primary Schoolprimary810 m
  • Marsiling Primary Schoolprimary950 m
  • Marsiling Secondary Schoolsecondary (s1-s5)1.0 km
  • Singapore Sports Schoolmixed level (s1-s5, jc1-jc2)1.1 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
Oct 2025TerraceS$2,750,0001,938 sqftS$1,419-68 yr 3 mo
Oct 2025TerraceS$2,750,0001,938 sqftS$1,419-68 yr 3 mo
May 2024DetachedS$4,900,0006,638 sqftS$738-70 yr 8 mo
May 2024DetachedS$4,900,0006,638 sqftS$738-70 yr 8 mo
Oct 2023TerraceS$3,150,0003,261 sqftS$966-70 yr 3 mo
Oct 2023TerraceS$3,150,0003,261 sqftS$966-70 yr 3 mo
Mar 2023TerraceS$2,700,0002,583 sqftS$1,045-70 yr 10 mo
Mar 2023TerraceS$2,700,0002,583 sqftS$1,045-70 yr 10 mo
Jan 2022TerraceS$2,370,0001,938 sqftS$1,223-72 yrs
Jan 2022TerraceS$2,370,0001,938 sqftS$1,223-72 yrs

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.