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SGPropertyIntel
HDB99-yearBuilt 2015Rest of Central RegionInvestment score 36

Blk 91 Dawson Rd

DAWSON RD · QUEENSTOWN · Singapore 144091 · D03

Median PSF · 12m

S$1,179

Median price · 12m

S$1.20M

Latest sale

S$1.16M

Oct 2026

1-year change

-6.6%

Sales · 12m

22

85 all time

Gross yield

4.65%

6 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
+28.7%
Annualised
+6.5%
Transactions
49
1 year
-6.6%
3 years p.a.
+5.4%
5 years p.a.
+5.4%
Median size
1,023 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.

District analytics
MeasureBlk 91 Dawson RdD03 medianDifference
Median PSFS$1,179S$968+21.8%
Median priceS$1.20MS$888K+35.1%
Gross rental yield4.65%6.30%-1.7 pts
1-year price change-6.6%+8.7%-15.3 pts

This development trades about 22% above the D03 median price per square foot.

Rental

Rent and yield

From HDB approved subletting contracts published on data.gov.sg.

Median monthly rent

S$4,750

Contracts · 12m

6

Implied annual rent

S$57K

Gross yield

4.65%

Unit typeContractsMedian rent
4 ROOM3S$4,800
3 ROOM2S$3,675
5 ROOM1S$4,800

Investment analysis

Investment score 36 / 100

Each component is a percentile rank against every other HDB block in the database. This is an analytical indicator, not financial advice.

36/100

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.

  • Liquidityweight 15%99

    Transactions in the last 12 months — how easily it trades.

  • Price momentumweight 18%72

    Three-year annualised change in median PSF, or one year where three is unavailable.

  • Supply riskweight 10%22

    Upcoming units recorded in the same district. Higher score means less competing supply.

  • Locationweight 15%19

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Queenstown MRT at 750 m.

  • Valuationweight 22%10

    How its median price per square foot compares with its own district.

  • Rental yieldweight 20%6

    Gross yield against every other development in its segment.

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 MRT750 m
  • Redhill MRT830 m
  • Napier MRT1.5 km
  • Orchard Boulevard MRT1.5 km

Schools within 2 km

  • Queenstown Secondary Schoolsecondary (s1-s5)210 m
  • Queenstown Primary Schoolprimary560 m
  • Crescent Girls' Schoolsecondary (s1-s4)600 m
  • Bukit Merah Secondary Schoolsecondary (s1-s5)1.1 km
  • Gan Eng Seng Primary Schoolprimary1.1 km
  • Queensway Secondary Schoolsecondary (s1-s5)1.3 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • JERVOIS MANSIONKimen Realty Pte Ltd130 units1.3 km
  • PARK NOVAShun Tak Cuscaden Residential Pte Ltd54 units1.7 km
  • GRANGE 1866Grange 1866 Pte Ltd60 units1.9 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Oct 20264 ROOMS$1,160,0001,023 sqftS$1,13422 TO 2488 yr 7 mo
Oct 20264 ROOMS$1,160,0001,023 sqftS$1,13422 TO 2488 yr 7 mo
Oct 20263 ROOMS$855,000700 sqftS$1,22222 TO 2488 yr 7 mo
Oct 20263 ROOMS$855,000700 sqftS$1,22222 TO 2488 yr 7 mo
Sep 20265 ROOMS$1,600,0001,066 sqftS$1,50137 TO 3988 yr 7 mo
Sep 20265 ROOMS$1,600,0001,066 sqftS$1,50137 TO 3988 yr 7 mo
Jun 20264 ROOMS$1,265,0001,173 sqftS$1,07816 TO 1888 yr 11 mo
Jun 20264 ROOMS$1,265,0001,173 sqftS$1,07816 TO 1888 yr 11 mo
May 20264 ROOMS$1,250,0001,023 sqftS$1,22207 TO 0989 yrs
May 20264 ROOMS$1,250,0001,023 sqftS$1,22207 TO 0989 yrs
May 20263 ROOMS$825,000700 sqftS$1,17928 TO 3089 yrs
May 20263 ROOMS$825,000700 sqftS$1,17928 TO 3089 yrs
Mar 20265 ROOMS$1,550,0001,066 sqftS$1,45540 TO 4289 yr 2 mo
Mar 20265 ROOMS$1,550,0001,066 sqftS$1,45540 TO 4289 yr 2 mo
Feb 20264 ROOMS$1,070,000893 sqftS$1,19816 TO 1889 yr 3 mo
Feb 20264 ROOMS$1,070,000893 sqftS$1,19816 TO 1889 yr 3 mo
Nov 20254 ROOMS$1,251,0001,044 sqftS$1,19816 TO 1889 yr 6 mo
Nov 20254 ROOMS$1,251,0001,044 sqftS$1,19816 TO 1889 yr 6 mo
Nov 20254 ROOMS$1,200,0001,044 sqftS$1,14937 TO 3989 yr 6 mo
Nov 20254 ROOMS$1,200,0001,044 sqftS$1,14937 TO 3989 yr 6 mo
Nov 20254 ROOMS$1,050,000893 sqftS$1,17513 TO 1589 yr 6 mo
Nov 20254 ROOMS$1,050,000893 sqftS$1,17513 TO 1589 yr 6 mo
Sep 20254 ROOMS$1,350,0001,023 sqftS$1,32037 TO 3989 yr 7 mo
Sep 20254 ROOMS$1,350,0001,023 sqftS$1,32037 TO 3989 yr 7 mo
Mar 20254 ROOMS$1,128,888936 sqftS$1,20531 TO 3390 yr 2 mo
Mar 20254 ROOMS$1,128,888936 sqftS$1,20531 TO 3390 yr 2 mo
Jul 20244 ROOMS$1,235,5001,173 sqftS$1,05322 TO 2490 yr 10 mo
Jul 20244 ROOMS$1,235,5001,173 sqftS$1,05322 TO 2490 yr 10 mo
Jul 20244 ROOMS$1,070,0001,173 sqftS$91204 TO 0690 yr 10 mo
Jul 20244 ROOMS$1,070,0001,173 sqftS$91204 TO 0690 yr 10 mo
Feb 20244 ROOMS$1,150,0001,044 sqftS$1,10119 TO 2191 yr 4 mo
Feb 20244 ROOMS$1,150,0001,044 sqftS$1,10119 TO 2191 yr 4 mo
Dec 20234 ROOMS$1,138,0001,023 sqftS$1,11316 TO 1891 yr 5 mo
Dec 20234 ROOMS$1,138,0001,023 sqftS$1,11316 TO 1891 yr 5 mo
May 20234 ROOMS$1,000,0001,044 sqftS$95810 TO 1291 yr 11 mo
May 20234 ROOMS$1,000,0001,044 sqftS$95810 TO 1291 yr 11 mo
Feb 20234 ROOMS$1,188,8881,023 sqftS$1,16340 TO 4292 yr 2 mo
Feb 20234 ROOMS$1,188,8881,023 sqftS$1,16340 TO 4292 yr 2 mo
Dec 20223 ROOMS$675,000700 sqftS$96510 TO 1292 yr 6 mo
Dec 20223 ROOMS$675,000700 sqftS$96510 TO 1292 yr 6 mo

Showing the 40 most recent of 85 recorded transactions.

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.