6 Derbyshire
DERBYSHIRE ROAD · D11
Median PSF · 12m
S$2,083
Median price · 12m
S$1.52M
Latest sale
S$2.25M
Aug 2026
1-year change
-5.9%
Sales · 12m
5
25 all time
Gross yield
3.20%
62 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
- +3.1%
- Annualised
- +0.8%
- Transactions
- 25
- 1 year
- -5.9%
- 3 years p.a.
- +0.4%
- 5 years p.a.
- —
- Median size
- 732 sqft
Against the neighbourhood
How it compares within D11
Watten Estate, Novena, Thomson. All figures are medians over the last 12 months for private homes in this district.
| Measure | 6 Derbyshire | D11 median | Difference |
|---|---|---|---|
| Median PSF | S$2,083 | S$2,049 | +1.7% |
| Median price | S$1.52M | S$2.40M | -36.5% |
| Gross rental yield | 3.20% | 3.83% | -0.6 pts |
| 1-year price change | -5.9% | +0.9% | -6.8 pts |
This development trades broadly in line with the D11 median.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$3,400
Contracts · 12m
62
Implied annual rent
S$41K
Gross yield
3.20%
| Unit type | Contracts | Median rent |
|---|---|---|
| 1 bedroom | 42 | S$3,300 |
| 2 bedroom | 13 | S$4,100 |
| 3 bedroom | 6 | S$5,350 |
| 4 bedroom | 1 | S$13,000 |
Investment analysis
Investment score 53 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
53/100
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%85
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%77
Upcoming units recorded in the same district. Higher score means less competing supply.
- Locationweight 15%58
Distance to the nearest rail station, plus schools within 1 km. Nearest is Novena MRT at 490 m.
- Rental yieldweight 20%53
Gross yield against every other development in its segment.
- Valuationweight 22%42
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.
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
- Novena MRT490 m
- Newton MRT950 m
- Farrer Park MRT1.1 km
- Little India Interchange MRT1.1 km
Schools within 2 km
- St. Joseph'S Institution Juniorprimary130 m
- Farrer Park Primary Schoolprimary730 m
- Anglo-Chinese School (Junior)primary1.0 km
- Anglo-Chinese School (Primary)primary1.1 km
- Northlight Schoolsecondary (s1-s4)1.1 km
- Anglo-Chinese School (Barker Road)secondary (s1-s5)1.2 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- SANCTUARY@NEWTONASK Development Pte Ltd38 units470 m
- ENCHANT�Evelyn Pte Ltd25 units600 m
- 32 GILSTEADPeak Vista Pte Ltd14 units750 m
- PULLMAN RESIDENCES NEWTONEL Development (Horizon) Pte Ltd340 units790 m
- PICCADILLY GRANDMaximus Residential SG Pte Ltd/Maximus Commercial SG Pte Ltd407 units1.0 km
- ORCHARD SOPHIAOrchard Sophia Pte Ltd78 units1.5 km
High upcoming supply nearby may increase competition for tenants and buyers.
The record
Transactions at this development
| Month | Type | Price | Size | PSF | Floor | Lease left |
|---|---|---|---|---|---|---|
| Aug 2026 | Condominium | S$2,250,000 | 1,012 sqft | S$2,224 | 06-10 | — |
| Jun 2026 | Condominium | S$1,525,000 | 732 sqft | S$2,083 | 11-15 | — |
| May 2026 | Condominium | S$1,888,888 | 829 sqft | S$2,279 | 26-30 | — |
| Mar 2026 | Condominium | S$980,000 | 527 sqft | S$1,858 | 11-15 | — |
| Oct 2025 | Condominium | S$950,000 | 517 sqft | S$1,839 | 01-05 | — |
| Apr 2025 | Condominium | S$2,408,000 | 1,012 sqft | S$2,380 | 11-15 | — |
| Apr 2025 | Condominium | S$2,240,000 | 1,012 sqft | S$2,214 | 06-10 | — |
| Mar 2025 | Condominium | S$2,240,000 | 1,012 sqft | S$2,214 | 11-15 | — |
| Feb 2025 | Condominium | S$1,572,500 | 732 sqft | S$2,148 | 11-15 | — |
| Oct 2024 | Condominium | S$1,723,888 | 829 sqft | S$2,080 | 16-20 | — |
| Aug 2024 | Condominium | S$988,000 | 474 sqft | S$2,086 | 21-25 | — |
| Jul 2024 | Condominium | S$1,600,000 | 732 sqft | S$2,186 | 16-20 | — |
| Jul 2024 | Condominium | S$1,070,000 | 527 sqft | S$2,029 | 26-30 | — |
| Jun 2024 | Condominium | S$2,268,000 | 1,012 sqft | S$2,242 | 16-20 | — |
| May 2024 | Condominium | S$2,300,000 | 1,012 sqft | S$2,273 | 21-25 | — |
| May 2024 | Condominium | S$1,030,000 | 517 sqft | S$1,994 | 06-10 | — |
| May 2024 | Condominium | S$980,000 | 474 sqft | S$2,069 | 06-10 | — |
| Aug 2023 | Condominium | S$920,000 | 474 sqft | S$1,943 | 16-20 | — |
| Feb 2023 | Condominium | S$2,200,000 | 1,012 sqft | S$2,174 | 06-10 | — |
| Oct 2022 | Condominium | S$2,275,000 | 1,012 sqft | S$2,248 | 16-20 | — |
| Oct 2022 | Condominium | S$880,000 | 474 sqft | S$1,858 | 01-05 | — |
| Aug 2022 | Condominium | S$1,650,000 | 732 sqft | S$2,254 | 16-20 | — |
| Mar 2022 | Condominium | S$1,583,000 | 732 sqft | S$2,163 | 06-10 | — |
| Dec 2021 | Condominium | S$2,428,000 | 1,130 sqft | S$2,148 | 26-30 | — |
| Oct 2021 | Condominium | S$2,190,000 | 1,012 sqft | S$2,164 | 21-25 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Derbyshire Heights
S$1,858
+4.8%1 sales2.3% yield
Fyve Derbyshire
S$2,456
-6.1%7 sales2.9% yield
Adria
S$2,186
-1.1%2 sales4.0% yield
Lion Towers
S$1,896
—1 sales1.9% yield
Strata
S$2,097
+2.1%4 sales3.9% yield
Viva
S$2,787
+6.3%5 sales3.7% yield
Cube 8
S$2,057
+3.8%5 sales3.7% yield
Tan Tong Meng Tower
S$1,211
—2 sales1.8% 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.