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SG Property Intel
Apartment99-yearRest of Central RegionInvestment score 42

Normanton Park

NORMANTON PARK · Singapore 117286 · D05

Median PSF · 12m

S$2,007

Median price · 12m

S$1.52M

Latest sale

S$1.45M

Sep 2026

1-year change

-3.3%

Sales · 12m

112

956 all time

Gross yield

3.64%

759 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
+2.1%
Transactions
956
1 year
-3.3%
3 years p.a.
-1.1%
5 years p.a.
+1.8%
Median size
936 sqft

Against the neighbourhood

How it compares within D05

Pasir Panjang, Clementi New Town, West Coast. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureNormanton ParkD05 medianDifference
Median PSFS$2,007S$2,150-6.7%
Median priceS$1.52MS$1.94M-21.9%
Gross rental yield3.64%3.18%+0.5 pts
1-year price change-3.3%-5.3%+2.0 pts

This development trades about 7% below the D05 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,000

Contracts · 12m

759

Implied annual rent

S$48K

Gross yield

3.64%

Unit typeContractsMedian rent
1 bedroom338S$3,400
2 bedroom252S$4,200
3 bedroom140S$5,700
4 bedroom25S$7,500
5 bedroom4S$8,850

Investment analysis

Investment score 42 / 100

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

42/100

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%100

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

  • Rental yieldweight 20%68

    Gross yield against every other development in its segment.

  • Valuationweight 22%37

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

  • Supply riskweight 10%19

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

  • Price momentumweight 18%16

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

  • Locationweight 15%5

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kent Ridge MRT at 1.1 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

  • Kent Ridge MRT1.1 km
  • Haw Par Villa MRT1.2 km
  • Pasir Panjang MRT1.3 km
  • One-North MRT1.5 km

Schools within 2 km

  • New Town Primary Schoolprimary1.6 km
  • Fairfield Methodist School (Primary)primary1.6 km
  • Queensway Secondary Schoolsecondary (s1-s5)1.8 km
  • Fairfield Methodist School (Secondary)secondary (s1-s5)1.8 km
  • Anglo-Chinese Junior Collegejunior college1.9 km
  • Queenstown Primary Schoolprimary1.9 km

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

Supply

Upcoming competition

  • Terra HillHoi Hup Sunway Kent Ridge Pte Ltd270 units940 m
  • THE HILLSHOREHillside View Development Pte Ltd59 units1.3 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$1,450,000721 sqftS$2,01106-1091 yr 4 mo
Aug 2026ApartmentS$1,983,000969 sqftS$2,04711-1591 yr 5 mo
Aug 2026ApartmentS$1,950,000969 sqftS$2,01311-1591 yr 5 mo
Aug 2026ApartmentS$1,950,000969 sqftS$2,01321-2591 yr 5 mo
Aug 2026ApartmentS$1,880,000936 sqftS$2,00806-1091 yr 5 mo
Aug 2026ApartmentS$1,500,000850 sqftS$1,76401-0591 yr 5 mo
Aug 2026ApartmentS$1,310,000667 sqftS$1,96311-1591 yr 5 mo
Jul 2026ApartmentS$2,760,0001,313 sqftS$2,10206-1091 yr 6 mo
Jul 2026ApartmentS$2,480,0001,195 sqftS$2,07606-1091 yr 6 mo
Jul 2026ApartmentS$1,982,800969 sqftS$2,04701-0591 yr 6 mo
Jul 2026ApartmentS$1,920,000915 sqftS$2,09921-2591 yr 6 mo
Jul 2026ApartmentS$1,538,000829 sqftS$1,85601-0591 yr 6 mo
Jul 2026ApartmentS$1,360,000667 sqftS$2,03816-2091 yr 6 mo
Jul 2026ApartmentS$905,000527 sqftS$1,71616-2091 yr 6 mo
Jul 2026ApartmentS$900,000527 sqftS$1,70606-1091 yr 6 mo
Jul 2026ApartmentS$888,000495 sqftS$1,79306-1091 yr 6 mo
Jun 2026ApartmentS$2,830,0001,335 sqftS$2,12001-0591 yr 7 mo
Jun 2026ApartmentS$2,500,0001,238 sqftS$2,02021-2591 yr 7 mo
Jun 2026ApartmentS$1,930,000958 sqftS$2,01511-1591 yr 7 mo
Jun 2026ApartmentS$1,508,000764 sqftS$1,97311-1591 yr 7 mo
Jun 2026ApartmentS$1,490,000721 sqftS$2,06601-0591 yr 7 mo
Jun 2026ApartmentS$1,255,000657 sqftS$1,91106-1091 yr 7 mo
Jun 2026ApartmentS$1,250,000646 sqftS$1,93516-2091 yr 7 mo
May 2026ApartmentS$2,820,0001,313 sqftS$2,14711-1591 yr 8 mo
May 2026ApartmentS$2,260,0001,087 sqftS$2,07911-1591 yr 8 mo
May 2026ApartmentS$1,560,000764 sqftS$2,04116-2091 yr 8 mo
May 2026ApartmentS$1,298,000657 sqftS$1,97721-2591 yr 8 mo
May 2026ApartmentS$1,233,000635 sqftS$1,94211-1591 yr 8 mo
May 2026ApartmentS$885,000527 sqftS$1,67801-0591 yr 8 mo
Apr 2026ApartmentS$2,910,0001,313 sqftS$2,21611-1591 yr 9 mo
Apr 2026ApartmentS$2,280,0001,076 sqftS$2,11806-1091 yr 9 mo
Apr 2026ApartmentS$2,200,0001,087 sqftS$2,02401-0591 yr 9 mo
Apr 2026ApartmentS$2,043,000969 sqftS$2,10916-2091 yr 9 mo
Apr 2026ApartmentS$1,890,000958 sqftS$1,97301-0591 yr 9 mo
Apr 2026ApartmentS$1,288,000667 sqftS$1,93016-2091 yr 9 mo
Apr 2026ApartmentS$1,250,000657 sqftS$1,90401-0591 yr 9 mo
Apr 2026ApartmentS$1,115,888581 sqftS$1,92011-1591 yr 9 mo
Apr 2026ApartmentS$915,000495 sqftS$1,84801-0591 yr 9 mo
Apr 2026ApartmentS$902,000527 sqftS$1,71001-0591 yr 9 mo
Mar 2026ApartmentS$2,280,0001,076 sqftS$2,11806-1091 yr 10 mo

Showing the 40 most recent of 956 recorded transactions.

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.