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SG Property Intel
Condominium99-yearOutside Central RegionInvestment score 42

Daintree Residence

TOH TUCK ROAD · Singapore 597657 · D21

Median PSF · 12m

S$2,026

Median price · 12m

S$1.50M

Latest sale

S$1.50M

Sep 2026

1-year change

-1.4%

Sales · 12m

29

90 all time

Gross yield

3.15%

25 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
+1.8%
Transactions
90
1 year
-1.4%
3 years p.a.
+0.2%
5 years p.a.
+1.3%
Median size
743 sqft

Against the neighbourhood

How it compares within D21

Upper Bukit Timah, Clementi Park, Ulu Pandan. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureDaintree ResidenceD21 medianDifference
Median PSFS$2,026S$2,262-10.4%
Median priceS$1.50MS$2.27M-33.8%
Gross rental yield3.15%2.82%+0.3 pts
1-year price change-1.4%-4.6%+3.2 pts

This development trades about 10% below the D21 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,100

Contracts · 12m

25

Implied annual rent

S$49K

Gross yield

3.15%

Unit typeContractsMedian rent
2 bedroom13S$4,100
1 bedroom8S$3,200
3 bedroom3S$5,000
4 bedroom1S$8,000

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%98

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

  • Rental yieldweight 20%51

    Gross yield against every other development in its segment.

  • Valuationweight 22%43

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

  • Price momentumweight 18%24

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

  • Supply riskweight 10%23

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

  • Locationweight 15%5

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Jurong Town Hall MRT at 1.7 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

  • Jurong Town Hall MRT1.7 km
  • Jurong East MRT1.8 km
  • Jurong East Interchange MRT1.8 km
  • Toh Guan MRT1.9 km

Schools within 2 km

  • Bukit Timah Primary Schoolprimary1.0 km
  • Keming Primary Schoolprimary1.3 km
  • Bukit View Primary Schoolprimary1.4 km
  • Bukit View Secondary Schoolsecondary (s1-s5)1.5 km
  • Nan Hua Primary Schoolprimary1.7 km
  • Pei Hwa Presbyterian Primary Schoolprimary2.0 km

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

Supply

Upcoming competition

No upcoming supply is recorded nearby. URA pipeline data requires an API key, which is not configured, so this section may be incomplete.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Sep 2026CondominiumS$1,500,000743 sqftS$2,02001-0589 yr 4 mo
Aug 2026CondominiumS$2,290,0001,055 sqftS$2,17101-0589 yr 5 mo
Aug 2026CondominiumS$1,470,000743 sqftS$1,97901-0589 yr 5 mo
Jul 2026CondominiumS$3,330,0001,485 sqftS$2,24201-0589 yr 6 mo
Jul 2026CondominiumS$1,560,000743 sqftS$2,10001-0589 yr 6 mo
Jul 2026CondominiumS$1,550,000775 sqftS$2,00001-0589 yr 6 mo
Jun 2026CondominiumS$2,308,0001,076 sqftS$2,14401-0589 yr 7 mo
Jun 2026CondominiumS$2,300,0001,055 sqftS$2,18001-0589 yr 7 mo
Jun 2026CondominiumS$1,500,000743 sqftS$2,02001-0589 yr 7 mo
Jun 2026CondominiumS$1,450,000710 sqftS$2,04101-0589 yr 7 mo
Jun 2026CondominiumS$1,380,000710 sqftS$1,94301-0589 yr 7 mo
May 2026CondominiumS$2,330,0001,206 sqftS$1,93301-0589 yr 8 mo
May 2026CondominiumS$1,420,000710 sqftS$1,99901-0589 yr 8 mo
May 2026CondominiumS$1,380,000710 sqftS$1,94301-0589 yr 8 mo
Apr 2026CondominiumS$2,215,0001,044 sqftS$2,12101-0589 yr 9 mo
Apr 2026CondominiumS$1,600,000775 sqftS$2,06501-0589 yr 9 mo
Apr 2026CondominiumS$1,458,000700 sqftS$2,08401-0589 yr 9 mo
Apr 2026CondominiumS$1,370,000721 sqftS$1,90001-0589 yr 9 mo
Mar 2026CondominiumS$1,570,000775 sqftS$2,02601-0589 yr 10 mo
Mar 2026CondominiumS$1,390,000710 sqftS$1,95701-0589 yr 10 mo
Feb 2026CondominiumS$1,380,000710 sqftS$1,94301-0589 yr 11 mo
Jan 2026CondominiumS$1,560,000743 sqftS$2,10001-0590 yrs
Jan 2026CondominiumS$1,480,000710 sqftS$2,08301-0590 yrs
Dec 2025CondominiumS$2,358,0001,141 sqftS$2,06701-0590 yr 1 mo
Dec 2025CondominiumS$1,500,000753 sqftS$1,99101-0590 yr 1 mo
Dec 2025CondominiumS$1,335,000667 sqftS$2,00001-0590 yr 1 mo
Nov 2025CondominiumS$2,260,0001,066 sqftS$2,12101-0590 yr 2 mo
Oct 2025CondominiumS$1,600,000775 sqftS$2,06501-0590 yr 3 mo
Oct 2025CondominiumS$1,365,000710 sqftS$1,92101-0590 yr 3 mo
Sep 2025CondominiumS$3,350,0001,593 sqftS$2,10301-0590 yr 4 mo
Sep 2025CondominiumS$2,300,0001,109 sqftS$2,07501-0590 yr 4 mo
Sep 2025CondominiumS$2,218,0001,109 sqftS$2,00101-0590 yr 4 mo
Sep 2025CondominiumS$1,436,000710 sqftS$2,02101-0590 yr 4 mo
Aug 2025CondominiumS$3,250,0001,485 sqftS$2,18801-0590 yr 5 mo
Aug 2025CondominiumS$1,390,000678 sqftS$2,05001-0590 yr 5 mo
Aug 2025CondominiumS$1,380,000710 sqftS$1,94301-0590 yr 5 mo
Aug 2025CondominiumS$1,350,000667 sqftS$2,02301-0590 yr 5 mo
Aug 2025CondominiumS$1,345,000667 sqftS$2,01501-0590 yr 5 mo
Aug 2025CondominiumS$1,340,000667 sqftS$2,00801-0590 yr 5 mo
Jul 2025CondominiumS$1,500,000786 sqftS$1,90901-0590 yr 6 mo

Showing the 40 most recent of 90 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.