Skip to content
SG Property Intel
ApartmentFreeholdCore Central RegionInvestment score 56

The Linc

LINCOLN ROAD · D11

Median PSF · 12m

S$2,178

Median price · 12m

S$2.79M

Latest sale

S$2.80M

Mar 2026

1-year change

Sales · 12m

2

5 all time

Gross yield

2.58%

8 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
+8.2%
Annualised
+8.2%
Transactions
5
1 year
3 years p.a.
+7.5%
5 years p.a.
Median size
1,281 sqft

Against the neighbourhood

How it compares within D11

Watten Estate, Novena, Thomson. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureThe LincD11 medianDifference
Median PSFS$2,178S$2,049+6.3%
Median priceS$2.79MS$2.40M+16.3%
Gross rental yield2.58%3.83%-1.2 pts
1-year price change+0.9%

This development trades about 6% above the D11 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,950

Contracts · 12m

8

Implied annual rent

S$71K

Gross yield

2.58%

Unit typeContractsMedian rent
3 bedroom5S$6,000
2 bedroom3S$4,000

Investment analysis

Investment score 56 / 100

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

56/100

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%84

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

  • Supply riskweight 10%77

    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%57

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Newton MRT at 580 m.

  • Rental yieldweight 20%34

    Gross yield against every other development in its segment.

  • Valuationweight 22%34

    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

  • Newton MRT580 m
  • Novena MRT610 m
  • Little India Interchange MRT1.1 km
  • Little India MRT1.2 km

Schools within 2 km

  • St. Joseph'S Institution Juniorprimary430 m
  • Anglo-Chinese School (Junior)primary670 m
  • Anglo-Chinese School (Primary)primary880 m
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)930 m
  • Farrer Park Primary Schoolprimary930 m
  • St. Margaret'S School (Primary)primary1.3 km

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

Supply

Upcoming competition

  • SANCTUARY@NEWTONASK Development Pte Ltd38 units180 m
  • ENCHANT�Evelyn Pte Ltd25 units280 m
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units440 m
  • 32 GILSTEADPeak Vista Pte Ltd14 units490 m
  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.2 km
  • ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.4 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Mar 2026ApartmentS$2,800,0001,281 sqftS$2,18611-15
Jan 2026ApartmentS$2,780,0001,281 sqftS$2,17006-10
Aug 2023ApartmentS$2,000,0001,141 sqftS$1,75301-05
May 2022ApartmentS$2,600,0001,281 sqftS$2,03006-10
Nov 2021ApartmentS$2,600,0001,292 sqftS$2,01316-20

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.