The Sensoria
JALAN ULU SEMBAWANG · D27
Median PSF · 12m
S$1,299
Median price · 12m
S$1.65M
Latest sale
S$1.65M
Jun 2026
1-year change
+8.3%
Sales · 12m
1
7 all time
Gross yield
2.65%
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
- +28.9%
- Annualised
- +22.5%
- Transactions
- 7
- 1 year
- +8.3%
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 1,184 sqft
Against the neighbourhood
How it compares within D27
Yishun, Sembawang. All figures are medians over the last 12 months for private homes in this district.
| Measure | The Sensoria | D27 median | Difference |
|---|---|---|---|
| Median PSF | S$1,299 | S$1,350 | -3.8% |
| Median price | S$1.65M | S$1.39M | +18.7% |
| Gross rental yield | 2.65% | 3.63% | -1.0 pts |
| 1-year price change | +8.3% | +2.4% | +5.8 pts |
This development trades about 4% below the D27 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$3,475
Contracts · 12m
6
Implied annual rent
S$42K
Gross yield
2.65%
| Unit type | Contracts | Median rent |
|---|---|---|
| 2 bedroom | 4 | S$3,450 |
| 3 bedroom | 2 | S$3,725 |
Investment analysis
Investment score 56 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
56/100
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%87
Three-year annualised change in median PSF, or one year where three is unavailable.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%54
Distance to the nearest rail station, plus schools within 1 km. Nearest is Woodlands South MRT at 560 m.
- Supply riskweight 10%54
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%52
How its median price per square foot compares with its own district.
- Rental yieldweight 20%36
Gross yield against every other development in its segment.
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
- Woodlands South MRT560 m
- Woodlands Interchange MRT1.7 km
- Woodlands MRT1.7 km
Schools within 2 km
- Christ Church Secondary Schoolsecondary (s1-s5)520 m
- Singapore Sports Schoolmixed level (s1-s5, jc1-jc2)710 m
- Woodgrove Secondary Schoolsecondary (s1-s5)740 m
- Innova Primary Schoolprimary870 m
- Woodgrove Primary Schoolprimary1.3 km
- Si Ling Primary Schoolprimary1.5 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 |
|---|---|---|---|---|---|---|
| Jun 2026 | Condominium | S$1,650,000 | 1,270 sqft | S$1,299 | 01-05 | — |
| Nov 2024 | Condominium | S$1,524,000 | 1,270 sqft | S$1,200 | 01-05 | — |
| Mar 2024 | Condominium | S$1,480,000 | 1,345 sqft | S$1,100 | 01-05 | — |
| Mar 2024 | Condominium | S$1,175,000 | 1,001 sqft | S$1,174 | 01-05 | — |
| Feb 2024 | Condominium | S$1,353,333 | 1,184 sqft | S$1,143 | 01-05 | — |
| Sep 2022 | Condominium | S$1,090,000 | 1,076 sqft | S$1,013 | 01-05 | — |
| Oct 2021 | Condominium | S$1,085,000 | 1,076 sqft | S$1,008 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
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.