Blk 35 Margaret Dr
MARGARET DR · QUEENSTOWN · Singapore 140035 · D03
Median PSF · 12m
S$994
Median price · 12m
S$585K
Latest sale
S$680K
Jul 2026
1-year change
—
Sales · 12m
2
2 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.
Not enough transactions to chart a price history.
- 1 year
- —
- 3 years p.a.
- —
- 5 years p.a.
- —
- Median size
- 587 sqft
Against the neighbourhood
How it compares within D03
Queenstown, Tiong Bahru, Alexandra. All figures are medians over the last 12 months for HDB flats in this district.
| Measure | Blk 35 Margaret Dr | D03 median | Difference |
|---|---|---|---|
| Median PSF | S$994 | S$961 | +3.4% |
| Median price | S$585K | S$880K | -33.5% |
| Gross rental yield | — | 6.34% | — |
| 1-year price change | — | +8.0% | — |
This development trades about 3% above the D03 median price per square foot.
Rental
Rent and yield
From HDB approved subletting contracts published on data.gov.sg.
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 42 / 100
Each component is a percentile rank against every other HDB block in the database. This is an analytical indicator, not financial advice.
42/100
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.
- Locationweight 15%55
Distance to the nearest rail station, plus schools within 1 km. Nearest is Queenstown MRT at 320 m.
- Liquidityweight 15%45
Transactions in the last 12 months — how easily it trades.
- Supply riskweight 10%38
Upcoming units recorded in the same district. Higher score means less competing supply.
- Valuationweight 22%33
How its median price per square foot compares with its own district.
- 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
- Queenstown MRT320 m
- Commonwealth MRT920 m
- Redhill MRT1.6 km
- Holland Village MRT1.8 km
Schools within 2 km
- Queenstown Primary Schoolprimary350 m
- Queensway Secondary Schoolsecondary (s1-s5)430 m
- New Town Primary Schoolprimary600 m
- Queenstown Secondary Schoolsecondary (s1-s5)1.0 km
- Crescent Girls' Schoolsecondary (s1-s4)1.5 km
- Bukit Merah Secondary Schoolsecondary (s1-s5)1.6 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 |
|---|---|---|---|---|---|---|
| Jul 2026 | 3 ROOM | S$680,000 | 667 sqft | S$1,019 | 01 TO 03 | 94 yr 7 mo |
| Jul 2026 | 2 ROOM | S$490,000 | 506 sqft | S$969 | 07 TO 09 | 94 yr 7 mo |
Alternatives
Comparable developments nearby
Within 1.5 km, same segment, with recorded activity in the last 12 months.
Blk 40A Margaret Dr
S$1,188
—2 sales5.4% yield
Blk 31 Margaret Dr
S$1,179
—2 sales
Blk 50 Stirling Rd
S$944
—1 sales
Blk 40B Margaret Dr
S$1,165
—2 sales
Blk 183 Stirling Rd
S$836
-2.7%2 sales4.7% yield
Blk 41A Margaret Dr
S$1,224
—1 sales
Blk 184 Stirling Rd
S$919
+6.6%3 sales5.0% yield
Blk 149 Mei Ling St
S$884
—1 sales4.3% 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.