Landed homes, Cashew Crescent
CASHEW CRESCENT · D23
Median PSF · 12m
S$2,486
Median price · 12m
S$4.30M
Latest sale
S$4.30M
Oct 2026
1-year change
—
Sales · 12m
1
1 all time
Gross yield
1.87%
4 leases
Price history
How this development has traded
Median transacted price and price per square foot by quarter, from every sale on record here.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 1,730 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.
| Measure | Landed homes, Cashew Crescent | D23 median | Difference |
|---|---|---|---|
| Median PSF | S$2,486 | S$1,484 | +67.5% |
| Median price | S$4.30M | S$1.40M | +207.1% |
| Gross rental yield | 1.87% | 3.94% | -2.1 pts |
| 1-year price change | — | +3.4% | — |
This development trades about 67% above the D23 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$6,700
Contracts · 12m
4
Implied annual rent
S$80K
Gross yield
1.87%
| Unit type | Contracts | Median rent |
|---|---|---|
| All units | 4 | S$6,700 |
Investment analysis
Investment score 30 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
30/100
82% 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%61
Distance to the nearest rail station, plus schools within 1 km. Nearest is Pending LRT at 580 m.
- Liquidityweight 15%57
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%26
Upcoming units recorded in the same district. Higher score means less competing supply.
- Rental yieldweight 20%19
Gross yield against every other development in its segment.
- Valuationweight 22%2
How its median price per square foot compares with its own district.
- Price momentumweight 18%not measurable
Three-year annualised change in median PSF, or one year where three is unavailable.
Not enough data to score price momentum.
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
- Pending LRT580 m
- Cashew MRT610 m
- Petir LRT750 m
- Bangkit LRT1.0 km
Schools within 2 km
- Bukit Panjang Primary Schoolprimary250 m
- Assumption English Schoolsecondary (s1-s5)310 m
- Assumption Pathway Schoolsecondary (s1-s4)440 m
- Chij Our Lady Queen Of Peaceprimary580 m
- Greenridge Secondary Schoolsecondary (s1-s5)770 m
- Zhenghua Primary Schoolprimary910 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
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Oct 2026 | Terrace | S$4,300,000 | 1,730 sqft | S$2,486 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Cashew Villas
S$1,894
-24.0%2 sales2.0% yield
Cashew Park Condominium
S$1,585
—2 sales3.0% yield
Espa
S$1,777
+13.5%2 sales2.7% yield
Cashew Heights Condominium
S$1,631
+6.0%6 sales2.1% yield
Mera Gardens
S$1,393
-17.6%2 sales5.1% yield
Landed homes, Jalan Pakis
S$2,435
—1 sales
Cashew Estate
S$1,245
-41.4%1 sales1.5% yield
Green Hill Estate
S$1,504
+3.3%1 sales
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.