Terra Villas
JALAN SAYANG · D14
Median PSF · 12m
S$974
Median price · 12m
S$3.89M
Latest sale
S$3.89M
Aug 2026
1-year change
—
Sales · 12m
1
3 all time
Gross yield
—
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
- +25.6%
- Annualised
- +35.5%
- Transactions
- 3
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 4,058 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 | Terra Villas | D14 median | Difference |
|---|---|---|---|
| Median PSF | S$974 | S$1,698 | -42.7% |
| Median price | S$3.89M | S$1.43M | +172.4% |
| Gross rental yield | — | 3.80% | — |
| 1-year price change | — | -2.1% | — |
This development trades about 43% 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 80 / 100
Each component is a percentile rank against every other private development in the database. This is an analytical indicator, not financial advice.
80/100
62% 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%98
How its median price per square foot compares with its own district.
- Locationweight 15%65
Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 270 m.
- Liquidityweight 15%56
Transactions in the last 12 months — how easily it trades.
- Rental yieldweight 20%not measurable
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 rental yield, 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 MRT270 m
- Eunos MRT1.4 km
- Bedok North MRT1.4 km
- Kaki Bukit MRT1.6 km
Schools within 2 km
- St. Stephen'S Schoolprimary450 m
- Opera Estate Primary Schoolprimary1.0 km
- Telok Kurau Primary Schoolprimary1.1 km
- Manjusri Secondary Schoolsecondary (s1-s5)1.6 km
- St. Patrick'S Schoolsecondary (s1-s5)1.6 km
- Damai Primary Schoolprimary1.6 km
Distances are straight-line. Proximity does not determine school admission eligibility.
Supply
Upcoming competition
- K SUITESEG Properties Pte Ltd19 units1.3 km
- KOON SENG HOUSEMequity K Pte Ltd17 units1.6 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 Terrace | S$3,888,000 | 3,993 sqft | S$974 | - | — |
| Sep 2024 | Strata Terrace | S$3,808,888 | 4,058 sqft | S$939 | - | — |
| Dec 2021 | Strata Terrace | S$3,330,000 | 4,295 sqft | S$775 | - | — |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Landed Housing Development
S$2,737
+30.4%3 sales1.7% yield
Kembangan Villas
S$2,511
—1 sales
The Trumps
S$1,703
+9.0%9 sales4.6% yield
Landed Housing Development
S$2,210
—4 sales1.7% yield
Landed Housing Development
S$1,878
-6.2%2 sales2.2% yield
Kimnan Park
S$2,740
+59.4%1 sales1.6% yield
Landed Housing Development
S$1,549
-5.6%9 sales1.4% yield
Landed Housing Development
S$2,094
+7.0%9 sales1.6% 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.