Lornie 18
LORNIE ROAD · D11
Median PSF · 12m
S$1,194
Median price · 12m
S$5.55M
Latest sale
S$5.55M
Aug 2026
1-year change
—
Sales · 12m
1
7 all time
Gross yield
3.14%
no rental data
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
- -8.4%
- Annualised
- -6.8%
- Transactions
- 7
- 1 year
- —
- 3 years p.a.
- -2.9%
- 5 years p.a.
- —
- Median size
- 4,575 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 | Lornie 18 | D11 median | Difference |
|---|---|---|---|
| Median PSF | S$1,194 | S$2,049 | -41.7% |
| Median price | S$5.55M | S$2.40M | +131.3% |
| Gross rental yield | 3.14% | 3.83% | -0.7 pts |
| 1-year price change | — | +0.9% | — |
This development trades about 42% below the D11 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
No rental contracts have been recorded here in the last 12 months, so a yield cannot be measured for this development.
Investment analysis
Investment score 52 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
52/100
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%98
How its median price per square foot compares with its own district.
- Supply riskweight 10%77
Upcoming units recorded in the same district. Higher score means less competing supply.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Rental yieldweight 20%51
Gross yield against every other development in its segment.
- Locationweight 15%15
Distance to the nearest rail station, plus schools within 1 km. Nearest is Bukit Brown MRT at 810 m.
- Price momentumweight 18%11
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
- Bukit Brown MRT810 m
- Caldecott Interchange MRT1.2 km
- Caldecott MRT1.3 km
- Marymount MRT1.5 km
Schools within 2 km
- Marymount Convent Schoolprimary1.3 km
- Raffles Girls' School (Secondary)secondary (s1-s4)1.6 km
- Chij Primary (Toa Payoh)primary1.7 km
- Raffles Institutionmixed level (s1-jc2)1.8 km
- Chij Secondary (Toa Payoh)secondary (s1-s5)1.9 km
- St. Joseph'S Institutionmixed level (s1-jc2)1.9 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- ARTISAN 8Apex Asia (2) Pte. Ltd.34 units1.7 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 | Strata Detached | S$5,550,000 | 4,650 sqft | S$1,194 | - | — |
| Jul 2024 | Strata Detached | S$6,800,000 | 4,930 sqft | S$1,379 | - | — |
| May 2024 | Strata Detached | S$6,280,000 | 4,392 sqft | S$1,430 | - | — |
| Nov 2023 | Strata Detached | S$5,788,888 | 4,402 sqft | S$1,315 | - | — |
| Oct 2023 | Strata Detached | S$6,118,000 | 4,704 sqft | S$1,301 | - | — |
| Oct 2023 | Strata Detached | S$5,980,000 | 4,542 sqft | S$1,316 | - | — |
| Aug 2023 | Strata Detached | S$5,960,000 | 4,575 sqft | S$1,303 | - | — |
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.