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SGPropertyIntel
Condominium999-yearOutside Central RegionInvestment score 54

Cashew Park Condominium

CASHEW ROAD · D23

Median PSF · 12m

S$1,634

Median price · 12m

S$1.46M

Latest sale

S$1.46M

Aug 2026

1-year change

+21.4%

Sales · 12m

1

9 all time

Gross yield

3.04%

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
+22.9%
Annualised
+10.9%
Transactions
9
1 year
+21.4%
3 years p.a.
+8.9%
5 years p.a.
Median size
1,270 sqft

Against the neighbourhood

How it compares within D23

Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureCashew Park CondominiumD23 medianDifference
Median PSFS$1,634S$1,486+9.9%
Median priceS$1.46MS$1.40M+4.3%
Gross rental yield3.04%3.96%-0.9 pts
1-year price change+21.4%+4.5%+16.9 pts

This development trades about 10% above the D23 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,600

Contracts · 12m

25

Implied annual rent

S$43K

Gross yield

3.04%

Unit typeContractsMedian rent
3 bedroom23S$3,700
2 bedroom1S$3,200
6 bedroom1S$3,400

Investment analysis

Investment score 54 / 100

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

54/100

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%88

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

  • Locationweight 15%71

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Cashew MRT at 490 m.

  • Liquidityweight 15%56

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

  • Rental yieldweight 20%47

    Gross yield against every other development in its segment.

  • Supply riskweight 10%35

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

  • Valuationweight 22%29

    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

  • Cashew MRT490 m
  • Pending LRT600 m
  • Petir LRT630 m
  • Bukit Panjang LRT1.0 km

Schools within 2 km

  • Bukit Panjang Primary Schoolprimary230 m
  • Assumption English Schoolsecondary (s1-s5)330 m
  • Assumption Pathway Schoolsecondary (s1-s4)350 m
  • Greenridge Secondary Schoolsecondary (s1-s5)590 m
  • Chij Our Lady Queen Of Peaceprimary610 m
  • Zhenghua Primary Schoolprimary840 m

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
Aug 2026CondominiumS$1,460,000893 sqftS$1,63401-05
Nov 2024CondominiumS$1,550,0001,152 sqftS$1,34601-05
Aug 2024CondominiumS$1,620,0001,270 sqftS$1,27501-05
Feb 2024CondominiumS$1,990,0001,475 sqftS$1,34901-05
Nov 2023CondominiumS$1,620,0001,152 sqftS$1,40701-05
Oct 2023CondominiumS$1,768,0001,367 sqftS$1,29301-05
Feb 2023CondominiumS$1,685,0001,270 sqftS$1,32701-05
Nov 2022CondominiumS$1,650,0001,367 sqftS$1,20701-05
Sep 2022CondominiumS$1,188,000893 sqftS$1,33001-05

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.