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SGPropertyIntel
ApartmentFreeholdRest of Central RegionInvestment score 55

Calarasi

KIM KEAT LANE · D12

Median PSF · 12m

S$1,526

Median price · 12m

S$1.83M

Latest sale

S$1.85M

Sep 2026

1-year change

+3.3%

Sales · 12m

3

7 all time

Gross yield

3.08%

18 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
+34.5%
Annualised
+18.5%
Transactions
7
1 year
+3.3%
3 years p.a.
+3.1%
5 years p.a.
—
Median size
1,184 sqft

Against the neighbourhood

How it compares within D12

Balestier, Toa Payoh, Serangoon. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureCalarasiD12 medianDifference
Median PSFS$1,526S$1,750-12.8%
Median priceS$1.83MS$1.50M+22.2%
Gross rental yield3.08%3.74%-0.7 pts
1-year price change+3.3%+2.4%+0.8 pts

This development trades about 13% below the D12 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,500

Contracts · 12m

18

Implied annual rent

S$54K

Gross yield

3.08%

Unit typeContractsMedian rent
3 bedroom18S$4,500

Investment analysis

Investment score 55 / 100

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

55/100

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.

  • Liquidityweight 15%77

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

  • Valuationweight 22%70

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

  • Supply riskweight 10%63

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

  • Price momentumweight 18%51

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

  • Rental yieldweight 20%49

    Gross yield against every other development in its segment.

  • Locationweight 15%21

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Boon Keng MRT at 1.0 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

  • Boon Keng MRT1.0 km
  • Novena MRT1.2 km
  • Toa Payoh MRT1.2 km
  • Farrer Park MRT1.3 km

Schools within 2 km

  • Hong Wen Schoolprimary490 m
  • Northlight Schoolsecondary (s1-s4)580 m
  • Bendemeer Secondary Schoolsecondary (s1-s5)800 m
  • St. Joseph'S Institution Juniorprimary1.1 km
  • Bendemeer Primary Schoolprimary1.3 km
  • Farrer Park Primary Schoolprimary1.3 km

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

Supply

Upcoming competition

  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.4 km
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units1.6 km
  • ENCHANT�Evelyn Pte Ltd25 units1.7 km
  • 32 GILSTEADPeak Vista Pte Ltd14 units1.8 km
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.9 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026ApartmentS$1,850,0001,206 sqftS$1,53511-15—
Feb 2026ApartmentS$1,828,0001,227 sqftS$1,49011-15—
Nov 2025ApartmentS$1,725,0001,130 sqftS$1,52606-10—
Mar 2025ApartmentS$1,750,0001,184 sqftS$1,47811-15—
May 2024ApartmentS$1,660,0001,184 sqftS$1,40206-10—
Mar 2023ApartmentS$1,650,0001,184 sqftS$1,39411-15—
Nov 2021ApartmentS$1,400,0001,227 sqftS$1,14111-15—

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.