Kiara 10
LORONG MARZUKI · D14
Median PSF · 12m
S$685
Median price · 12m
S$3.94M
Latest sale
S$3.94M
Nov 2025
1-year change
—
Sales · 12m
1
2 all time
Gross yield
2.74%
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
- +8.8%
- Annualised
- +18.3%
- Transactions
- 2
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 5,748 sqft
Against the neighbourhood
How it compares within D14
Geylang, Eunos, Paya Lebar. All figures are medians over the last 12 months for private homes in this district.
| Measure | Kiara 10 | D14 median | Difference |
|---|---|---|---|
| Median PSF | S$685 | S$1,698 | -59.7% |
| Median price | S$3.94M | S$1.43M | +175.7% |
| Gross rental yield | 2.74% | 3.80% | -1.1 pts |
| 1-year price change | — | -2.1% | — |
This development trades about 60% below the D14 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 68 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
68/100
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.
- Supply riskweight 10%100
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%99
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.
- Locationweight 15%53
Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 480 m.
- Rental yieldweight 20%39
Gross yield against every other development in its segment.
- 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
- Kembangan MRT480 m
- Eunos MRT750 m
- Ubi MRT1.4 km
- Kaki Bukit MRT1.4 km
Schools within 2 km
- Manjusri Secondary Schoolsecondary (s1-s5)1.0 km
- Telok Kurau Primary Schoolprimary1.0 km
- St. Stephen'S Schoolprimary1.0 km
- Maha Bodhi Schoolprimary1.1 km
- Haig Girls' Schoolprimary1.4 km
- Opera Estate Primary Schoolprimary1.7 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- K SUITESEG Properties Pte Ltd19 units1.1 km
- KOON SENG HOUSEMequity K Pte Ltd17 units1.2 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 |
|---|---|---|---|---|---|---|
| Nov 2025 | Strata Detached | S$3,935,000 | 5,748 sqft | S$685 | - | — |
| Jan 2024 | Strata Detached | S$3,618,000 | 5,748 sqft | S$629 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
D' Casita
S$1,573
+5.6%2 sales3.6% yield
Vicenta Lodge
S$1,429
—1 sales3.0% yield
Landed Housing Development
S$2,374
+15.8%12 sales1.9% yield
Landed Housing Development
S$2,025
+1.0%12 sales1.4% yield
Residences 88
S$1,575
—1 sales5.7% yield
Landed Housing Development
S$1,761
+13.0%4 sales1.2% yield
Bliss Ville
S$1,548
+22.2%1 sales2.8% yield
D'Oasia
S$1,635
+8.3%1 sales4.2% 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.