Skip to content
SGPropertyIntel
ApartmentFreeholdCore Central RegionInvestment score 53

Stevens Loft

STEVENS DRIVE · D10

Median PSF · 12m

Median price · 12m

Latest sale

S$1.33M

Jan 2025

1-year change

Sales · 12m

0

5 all time

Gross yield

4.33%

7 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
+9.7%
Annualised
+7.7%
Transactions
5
1 year
3 years p.a.
5 years p.a.
Median size
1,163 sqft

Against the neighbourhood

How it compares within D10

Ardmore, Bukit Timah, Holland Road, Tanglin. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureStevens LoftD10 medianDifference
Median PSFS$2,225
Median priceS$3.16M
Gross rental yield4.33%4.12%+0.2 pts
1-year price change+0.6%

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,800

Contracts · 12m

7

Implied annual rent

S$58K

Gross yield

4.33%

Unit typeContractsMedian rent
1 bedroom4S$4,400
2 bedroom3S$4,800

Investment analysis

Investment score 53 / 100

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

53/100

60% 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%87

    Gross yield against every other development in its segment.

  • Locationweight 15%68

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Stevens MRT at 360 m.

  • Supply riskweight 10%42

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

  • Liquidityweight 15%0

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

  • Valuationweight 22%not measurable

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

  • Price momentumweight 18%not measurable

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

Not enough data to score valuation, price momentum.

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

  • Stevens MRT360 m
  • Stevens Interchange MRT360 m
  • Newton MRT1.3 km
  • Botanic Gardens MRT1.4 km

Schools within 2 km

  • Singapore Chinese Girls' Schoolsecondary (s1-s4)410 m
  • St. Joseph'S Institutionmixed level (s1-jc2)740 m
  • Anglo-Chinese School (Primary)primary1.0 km
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)1.0 km
  • Catholic Junior Collegejunior college1.2 km
  • Anglo-Chinese School (Junior)primary1.8 km

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

Supply

Upcoming competition

  • 21 ANDERSONAnderson International Properties Pte. Ltd/Raffles Legend Properties Pte. Ltd.19 units510 m
  • 32 GILSTEADPeak Vista Pte Ltd14 units1.3 km
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.4 km
  • ENCHANT�Evelyn Pte Ltd25 units1.5 km
  • PARK NOVAShun Tak Cuscaden Residential Pte Ltd54 units1.5 km
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units1.6 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jan 2025ApartmentS$1,330,000732 sqftS$1,81701-05
Jul 2024ApartmentS$1,500,0001,163 sqftS$1,29001-05
Jan 2024ApartmentS$1,780,000861 sqftS$2,06701-05
Jan 2022ApartmentS$2,230,0001,184 sqftS$1,88301-05
Nov 2021ApartmentS$3,600,0002,174 sqftS$1,65601-05

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.