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SGPropertyIntel
HDB99-yearBuilt 1976Rest of Central RegionInvestment score 40

Blk 79 Marine Dr

MARINE DR · MARINE PARADE · Singapore 440079 · D15

Median PSF · 12m

S$847

Median price · 12m

S$1.08M

Latest sale

S$1.06M

Aug 2026

1-year change

+20.2%

Sales · 12m

8

139 all time

Gross yield

4.98%

3 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
+24.3%
Annualised
+8.2%
Transactions
25
1 year
+20.2%
3 years p.a.
+6.6%
5 years p.a.
+5.3%
Median size
1,292 sqft

Against the neighbourhood

How it compares within D15

Katong, Joo Chiat, Amber Road, Marine Parade. All figures are medians over the last 12 months for HDB flats in this district.

District analytics
MeasureBlk 79 Marine DrD15 medianDifference
Median PSFS$847S$657+28.8%
Median priceS$1.08MS$550K+96.4%
Gross rental yield4.98%6.98%-2.0 pts
1-year price change+20.2%-0.9%+21.2 pts

This development trades about 29% above the D15 median price per square foot.

Rental

Rent and yield

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

Median monthly rent

S$3,520

Contracts · 12m

3

Implied annual rent

S$42K

Gross yield

4.98%

Unit typeContractsMedian rent
5 ROOM3S$3,520

Investment analysis

Investment score 40 / 100

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

40/100

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.

  • Price momentumweight 18%86

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

  • Liquidityweight 15%76

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

  • Locationweight 15%60

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marine Parade MRT at 270 m.

  • Rental yieldweight 20%12

    Gross yield against every other development in its segment.

  • Supply riskweight 10%7

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

  • Valuationweight 22%6

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

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

  • Marine Parade MRT270 m
  • Marine Terrace MRT1.0 km
  • Tanjong Katong MRT1.2 km

Schools within 2 km

  • Tao Nan Schoolprimary590 m
  • Chij (Katong) Primaryprimary660 m
  • Tanjong Katong Primary Schoolprimary950 m
  • Ngee Ann Primary Schoolprimary1.2 km
  • Chij Katong Conventsecondary (s1-s5)1.2 km
  • Haig Girls' Schoolprimary1.3 km

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

Supply

Upcoming competition

  • AMBER HOUSEUrban Park Pte Ltd105 units820 m
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units1.1 km
  • K SUITESEG Properties Pte Ltd19 units1.2 km
  • KOON SENG HOUSEMequity K Pte Ltd17 units1.3 km
  • The ContinuumHoi Hup Sunway Katong Pte Ltd · TOP 2027816 units1.7 km
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units1.7 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 20265 ROOMS$1,060,0001,292 sqftS$82119 TO 2149 yr 5 mo
Aug 20265 ROOMS$1,060,0001,292 sqftS$82119 TO 2149 yr 5 mo
Jul 20265 ROOMS$1,200,0001,292 sqftS$92922 TO 2449 yr 7 mo
Jul 20265 ROOMS$1,200,0001,292 sqftS$92922 TO 2449 yr 7 mo
Jul 20265 ROOMS$1,100,0001,259 sqftS$87316 TO 1849 yr 7 mo
Jul 20265 ROOMS$1,100,0001,259 sqftS$87316 TO 1849 yr 7 mo
May 20265 ROOMS$1,050,0001,292 sqftS$81316 TO 1849 yr 9 mo
May 20265 ROOMS$1,050,0001,292 sqftS$81316 TO 1849 yr 9 mo
Oct 20255 ROOMS$780,0001,259 sqftS$61901 TO 0350 yr 3 mo
Oct 20255 ROOMS$780,0001,259 sqftS$61901 TO 0350 yr 3 mo
Apr 20255 ROOMS$1,200,0001,302 sqftS$92119 TO 2150 yr 11 mo
Apr 20255 ROOMS$1,200,0001,302 sqftS$92119 TO 2150 yr 11 mo
Dec 20245 ROOMS$910,0001,292 sqftS$70507 TO 0951 yr 3 mo
Dec 20245 ROOMS$910,0001,292 sqftS$70507 TO 0951 yr 3 mo
Jul 20245 ROOMS$920,0001,313 sqftS$70107 TO 0951 yr 7 mo
Jul 20245 ROOMS$920,0001,313 sqftS$70107 TO 0951 yr 7 mo
May 20245 ROOMS$838,0001,292 sqftS$64904 TO 0651 yr 9 mo
May 20245 ROOMS$838,0001,292 sqftS$64904 TO 0651 yr 9 mo
Oct 20235 ROOMS$880,0001,259 sqftS$69910 TO 1252 yr 4 mo
Oct 20235 ROOMS$880,0001,259 sqftS$69910 TO 1252 yr 4 mo
Oct 20225 ROOMS$990,0001,292 sqftS$76622 TO 2453 yr 4 mo
Oct 20225 ROOMS$990,0001,292 sqftS$76622 TO 2453 yr 4 mo
May 20225 ROOMS$950,0001,292 sqftS$73516 TO 1853 yr 9 mo
May 20225 ROOMS$950,0001,292 sqftS$73516 TO 1853 yr 9 mo
Dec 20215 ROOMS$885,0001,259 sqftS$70310 TO 1254 yr 1 mo
Dec 20205 ROOMS$845,0001,292 sqftS$65419 TO 2155 yr 2 mo
Jun 20205 ROOMS$910,0001,259 sqftS$72322 TO 2455 yr 9 mo
Feb 20205 ROOMS$860,0001,292 sqftS$66622 TO 2455 yr 11 mo
Aug 20195 ROOMS$895,0001,292 sqftS$69319 TO 2156 yr 5 mo
Jul 20195 ROOMS$808,0001,292 sqftS$62622 TO 2456 yr 6 mo
Apr 20195 ROOMS$918,0001,292 sqftS$71119 TO 2156 yr 9 mo
Nov 20185 ROOMS$710,0001,292 sqftS$55004 TO 0657 yr 2 mo
Sep 20185 ROOMS$940,8881,292 sqftS$72825 TO 2757 yr 5 mo
Sep 20185 ROOMS$890,0001,313 sqftS$67813 TO 1557 yr 5 mo
Jun 20185 ROOMS$820,0001,292 sqftS$63516 TO 1857 yr 7 mo
Dec 20155 ROOMS$862,8881,259 sqftS$68519 TO 2160 yrs
Nov 20155 ROOMS$785,0001,259 sqftS$62307 TO 0960 yrs
Jul 20155 ROOMS$885,0001,292 sqftS$68513 TO 1560 yrs
Mar 20155 ROOMS$798,0001,292 sqftS$61804 TO 0660 yrs
Jan 20155 ROOMS$800,0001,259 sqftS$63510 TO 1261 yrs

Showing the 40 most recent of 139 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.