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SGPropertyIntel
ApartmentFreeholdCore Central RegionInvestment score 71

Novena Hill

JALAN NOVENA · D11

Median PSF · 12m

S$1,753

Median price · 12m

S$1.20M

Latest sale

S$1.14M

May 2026

1-year change

+9.6%

Sales · 12m

2

7 all time

Gross yield

3.48%

12 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
+7.3%
Annualised
+4.1%
Transactions
7
1 year
+9.6%
3 years p.a.
+5.4%
5 years p.a.
Median size
710 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
MeasureNovena HillD11 medianDifference
Median PSFS$1,753S$2,049-14.4%
Median priceS$1.20MS$2.40M-50.0%
Gross rental yield3.48%3.83%-0.3 pts
1-year price change+9.6%+0.9%+8.7 pts

This development trades about 14% below the D11 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,200

Contracts · 12m

12

Implied annual rent

S$38K

Gross yield

3.48%

Unit typeContractsMedian rent
All units12S$3,200

Investment analysis

Investment score 71 / 100

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

71/100

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.

  • Locationweight 15%78

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Novena MRT at 310 m.

  • Supply riskweight 10%77

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

  • Price momentumweight 18%73

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

  • Valuationweight 22%72

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

  • Liquidityweight 15%69

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

  • Rental yieldweight 20%63

    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

  • Novena MRT310 m
  • Mount Pleasant MRT1.1 km
  • Toa Payoh MRT1.2 km
  • Newton MRT1.3 km

Schools within 2 km

  • St. Joseph'S Institution Juniorprimary670 m
  • Anglo-Chinese School (Barker Road)secondary (s1-s5)890 m
  • Catholic Junior Collegejunior college900 m
  • Anglo-Chinese School (Primary)primary1.0 km
  • Chij Secondary (Toa Payoh)secondary (s1-s5)1.0 km
  • Chij Primary (Toa Payoh)primary1.1 km

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

Supply

Upcoming competition

  • 32 GILSTEADPeak Vista Pte Ltd14 units770 m
  • SANCTUARY@NEWTONASK Development Pte Ltd38 units800 m
  • ENCHANT�Evelyn Pte Ltd25 units850 m
  • PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units1.0 km
  • PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 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
May 2026ApartmentS$1,138,000657 sqftS$1,73301-05
Jan 2026ApartmentS$1,260,000710 sqftS$1,77401-05
Oct 2024ApartmentS$1,050,000657 sqftS$1,59901-05
Apr 2024ApartmentS$1,200,000710 sqftS$1,68901-05
Sep 2023ApartmentS$1,062,888710 sqftS$1,49601-05
Sep 2022ApartmentS$1,110,000710 sqftS$1,56201-05
Dec 2021ApartmentS$1,148,000710 sqftS$1,61601-05

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.