Hong Heng Mansions
SEMBAWANG ROAD · D26
Median PSF · 12m
S$1,156
Median price · 12m
S$1.07M
Latest sale
S$1.07M
Sep 2026
1-year change
—
Sales · 12m
1
2 all time
Gross yield
3.48%
9 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
- +8.5%
- Annualised
- +17.6%
- Transactions
- 2
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 1,114 sqft
Against the neighbourhood
How it compares within D26
Upper Thomson, Springleaf, Mandai. All figures are medians over the last 12 months for private homes in this district.
| Measure | Hong Heng Mansions | D26 median | Difference |
|---|---|---|---|
| Median PSF | S$1,156 | S$1,442 | -19.8% |
| Median price | S$1.07M | S$1.75M | -38.9% |
| Gross rental yield | 3.48% | 3.62% | -0.1 pts |
| 1-year price change | — | -0.5% | — |
This development trades about 20% below the D26 median price per square foot.
Rental
Rent and yield
From URA private residential rental contracts.
Median monthly rent
S$3,400
Contracts · 12m
9
Implied annual rent
S$41K
Gross yield
3.48%
| Unit type | Contracts | Median rent |
|---|---|---|
| 3 bedroom | 9 | S$3,400 |
Investment analysis
Investment score 54 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
54/100
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.
- Valuationweight 22%80
How its median price per square foot compares with its own district.
- Rental yieldweight 20%63
Gross yield against every other development in its segment.
- Liquidityweight 15%57
Transactions in the last 12 months — how easily it trades.
- Locationweight 15%36
Distance to the nearest rail station, plus schools within 1 km. Nearest is Yishun MRT at 930 m.
- Supply riskweight 10%4
Upcoming units recorded in the same district. Higher score means less competing supply.
- 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
- Yishun MRT930 m
- Canberra MRT1.5 km
- Khatib MRT1.6 km
Schools within 2 km
- Yishun Secondary Schoolsecondary (s1-s5)320 m
- Jiemin Primary Schoolprimary500 m
- Ahmad Ibrahim Secondary Schoolsecondary (s1-s5)720 m
- Ahmad Ibrahim Primary Schoolprimary760 m
- Yishun Innova Junior Collegejunior college760 m
- Yishun Primary Schoolprimary880 m
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 |
|---|---|---|---|---|---|---|
| Sep 2026 | Apartment | S$1,070,000 | 926 sqft | S$1,156 | 01-05 | — |
| Feb 2024 | Apartment | S$1,388,000 | 1,302 sqft | S$1,066 | 01-05 | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed homes, Sembawang Road
S$1,389
+24.0%2 sales1.5% yield
Seletaris
S$1,311
-0.9%10 sales3.1% yield
Sembawang Park
S$1,527
-1.8%3 sales1.5% yield
Platina Gardens
S$1,251
-42.2%1 sales1.6% yield
Euphony Gardens
S$963
+7.0%11 sales4.4% yield
Northwood
S$1,235
+0.7%4 sales3.4% yield
Landed homes, Jalan Mata Ayer
S$994
—1 sales
Goodlink Park
S$2,017
—1 sales1.7% 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.