Grand Regency
JALAN RAJAWALI · D21
Median PSF · 12m
S$1,662
Median price · 12m
S$1.36M
Latest sale
S$1.36M
Feb 2026
1-year change
-2.0%
Sales · 12m
1
4 all time
Gross yield
3.31%
6 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
- +18.3%
- Annualised
- +18.3%
- Transactions
- 4
- 1 year
- -2.0%
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 818 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.
| Measure | Grand Regency | D21 median | Difference |
|---|---|---|---|
| Median PSF | S$1,662 | S$1,833 | -9.3% |
| Median price | S$1.36M | S$1.99M | -31.8% |
| Gross rental yield | 3.31% | 3.74% | -0.4 pts |
| 1-year price change | -2.0% | +8.7% | -10.7 pts |
This development trades about 9% below the D21 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$3,200
Contracts · 12m
6
Implied annual rent
S$38K
Gross yield
3.31%
| Unit type | Contracts | Median rent |
|---|---|---|
| 2 bedroom | 4 | S$3,175 |
| 3 bedroom | 2 | S$4,675 |
Investment analysis
Investment score 41 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
41/100
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.
- Valuationweight 22%63
How its median price per square foot compares with its own district.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Rental yieldweight 20%56
Gross yield against every other development in its segment.
- Supply riskweight 10%23
Upcoming units recorded in the same district. Higher score means less competing supply.
- Locationweight 15%17
Distance to the nearest rail station, plus schools within 1 km. Nearest is Beauty World MRT at 860 m.
- Price momentumweight 18%13
Three-year annualised change in median PSF, or one year where three is unavailable.
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
- Beauty World MRT860 m
- Hume MRT1.2 km
- Dt4 MRT1.3 km
- King Albert Park MRT1.9 km
Schools within 2 km
- Bukit Timah Primary Schoolprimary710 m
- Pei Hwa Presbyterian Primary Schoolprimary1.0 km
- Keming Primary Schoolprimary1.3 km
- Bukit View Primary Schoolprimary1.7 km
- Bukit View Secondary Schoolsecondary (s1-s5)1.8 km
- Lianhua 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
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Feb 2026 | Apartment | S$1,360,000 | 818 sqft | S$1,662 | 06-10 | — |
| Oct 2024 | Apartment | S$1,900,000 | 1,119 sqft | S$1,697 | 01-05 | — |
| Jun 2022 | Apartment | S$1,190,000 | 818 sqft | S$1,455 | 06-10 | — |
| Nov 2021 | Apartment | S$1,150,000 | 818 sqft | S$1,406 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Grand Chateau
S$1,611
+6.7%1 sales2.9% yield
Selanting Green
S$1,535
-4.8%1 sales2.3% yield
Verdale
S$1,913
-4.6%17 sales3.4% yield
The Hillford
S$1,486
+1.6%12 sales5.4% yield
Residential Apartments
S$560
—2 sales
Sherwood Condominium
S$1,475
-4.5%4 sales3.6% yield
The Sen
S$2,338
—158 sales
Suites At Bukit Timah
S$1,880
+1.2%3 sales4.4% yield
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.