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SG Property Intel
TerraceFreeholdRest of Central RegionInvestment score 48

Daisy Park

DAISY AVENUE · D13

Median PSF · 12m

S$2,404

Median price · 12m

S$4.88M

Latest sale

S$5.30M

May 2026

1-year change

+6.4%

Sales · 12m

2

11 all time

Gross yield

1.61%

1 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
+42.9%
Annualised
+15.3%
Transactions
11
1 year
+6.4%
3 years p.a.
5 years p.a.
+10.0%
Median size
1,661 sqft

Against the neighbourhood

How it compares within D13

Macpherson, Braddell, Potong Pasir. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureDaisy ParkD13 medianDifference
Median PSFS$2,404S$2,005+19.9%
Median priceS$4.88MS$1.58M+209.0%
Gross rental yield1.61%3.67%-2.1 pts
1-year price change+6.4%+4.0%+2.4 pts

This development trades about 20% above the D13 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,500

Contracts · 12m

1

Implied annual rent

S$78K

Gross yield

1.61%

Unit typeContractsMedian rent
All units1S$6,500

Investment analysis

Investment score 48 / 100

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

48/100

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.

  • Supply riskweight 10%100

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

  • Price momentumweight 18%79

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

  • Liquidityweight 15%69

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

  • Locationweight 15%34

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Lorong Chuan MRT at 800 m.

  • Valuationweight 22%24

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

  • Rental yieldweight 20%12

    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

  • Lorong Chuan MRT800 m
  • Woodleigh MRT810 m
  • Serangoon Interchange MRT930 m
  • Serangoon MRT1.0 km

Schools within 2 km

  • Yangzheng Primary Schoolprimary490 m
  • Zhonghua Secondary Schoolsecondary (s1-s5)520 m
  • Nanyang Junior Collegejunior college610 m
  • St. Gabriel'S Primary Schoolprimary680 m
  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)1.1 km
  • First Toa Payoh Primary Schoolprimary1.3 km

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

Supply

Upcoming competition

  • CHUAN PARKChuan Park Development Pte. Ltd.916 units840 m
  • Chuan ParkChuan Park Development Pte Ltd · TOP 2027916 units850 m

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
May 2026TerraceS$5,300,0002,491 sqftS$2,128-
Dec 2025TerraceS$4,450,0001,661 sqftS$2,679-
Jul 2025TerraceS$3,750,0001,660 sqftS$2,259-
Jun 2025TerraceS$6,010,0002,692 sqftS$2,232-
Mar 2025TerraceS$3,800,0001,661 sqftS$2,288-
Nov 2024TerraceS$4,150,0001,661 sqftS$2,499-
Nov 2024TerraceS$3,500,0001,660 sqftS$2,109-
Aug 2024TerraceS$3,650,0001,661 sqftS$2,198-
Apr 2022TerraceS$3,000,0001,661 sqftS$1,806-
Dec 2021TerraceS$3,000,0001,660 sqftS$1,807-
Sep 2021TerraceS$2,680,0001,800 sqftS$1,489-

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.