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SG Property Intel
HDB99-yearBuilt 1974Rest of Central RegionInvestment score 36

Blk 16 Marine Ter

MARINE TER · MARINE PARADE · Singapore 440016 · D15

Median PSF · 12m

S$687

Median price · 12m

S$318K

Latest sale

S$318K

Dec 2025

1-year change

Sales · 12m

1

8 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
+29.4%
Annualised
+29.4%
Transactions
4
1 year
3 years p.a.
5 years p.a.
+5.3%
Median size
452 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 16 Marine TerD15 medianDifference
Median PSFS$687S$665+3.4%
Median priceS$318KS$568K-44.0%
Gross rental yield6.99%
1-year price change+1.1%

This development trades about 3% above the D15 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 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

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%71

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marine Terrace MRT at 280 m.

  • Valuationweight 22%33

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

  • Liquidityweight 15%22

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

  • Supply riskweight 10%8

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

  • 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

  • Marine Terrace MRT280 m
  • Marine Parade MRT800 m
  • Kembangan MRT1.9 km
  • Siglap MRT1.9 km

Schools within 2 km

  • Tao Nan Schoolprimary300 m
  • Ngee Ann Primary Schoolprimary400 m
  • Chij (Katong) Primaryprimary400 m
  • Chij Katong Conventsecondary (s1-s5)420 m
  • St. Patrick'S Schoolsecondary (s1-s5)560 m
  • Victoria Junior Collegejunior college710 m

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units1.1 km
  • KOON SENG HOUSEMequity K Pte Ltd17 units1.4 km
  • AMBER HOUSEUrban Park Pte Ltd105 units1.5 km
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units1.6 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Dec 20252 ROOMS$318,000463 sqftS$68713 TO 1548 yr 4 mo
May 20242 ROOMS$270,000452 sqftS$59707 TO 0949 yr 11 mo
Oct 20232 ROOMS$265,000452 sqftS$58610 TO 1250 yr 6 mo
Apr 20212 ROOMS$240,000452 sqftS$53107 TO 0952 yr 11 mo
May 20182 ROOMS$180,000452 sqftS$39801 TO 0355 yr 11 mo
Apr 20172 ROOMS$238,000463 sqftS$51404 TO 0657 yrs
Feb 20112 ROOMS$233,000452 sqftS$51507 TO 0962 yr 11 mo
Jan 20112 ROOMS$240,000463 sqftS$51907 TO 0963 yrs

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.