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SG Property Intel
ApartmentFreeholdOutside Central RegionInvestment score 75

Suites@Changi

CHANGI ROAD · Singapore 462208 · D16

Median PSF · 12m

S$1,563

Median price · 12m

S$690K

Latest sale

S$1.25M

Apr 2026

1-year change

-1.3%

Sales · 12m

3

12 all time

Gross yield

4.58%

17 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
-15.2%
Annualised
-7.9%
Transactions
12
1 year
-1.3%
3 years p.a.
+2.0%
5 years p.a.
+2.7%
Median size
441 sqft

Against the neighbourhood

How it compares within D16

Bedok, Upper East Coast, Eastwood, Kew Drive. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureSuites@ChangiD16 medianDifference
Median PSFS$1,563S$2,472-36.7%
Median priceS$690KS$2.03M-66.0%
Gross rental yield4.58%2.81%+1.8 pts
1-year price change-1.3%+55.8%-57.1 pts

This development trades about 37% below the D16 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$2,550

Contracts · 12m

17

Implied annual rent

S$31K

Gross yield

4.58%

Unit typeContractsMedian rent
All units9S$2,500
1 bedroom8S$2,650

Investment analysis

Investment score 75 / 100

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

75/100

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.

  • Rental yieldweight 20%91

    Gross yield against every other development in its segment.

  • Valuationweight 22%88

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

  • Locationweight 15%82

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Bedok MRT at 160 m.

  • Liquidityweight 15%78

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

  • Supply riskweight 10%62

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

  • Price momentumweight 18%39

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

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

  • Bedok MRT160 m
  • Bedok Reservoir MRT1.3 km
  • Siglap MRT1.7 km
  • Tanah Merah MRT1.7 km

Schools within 2 km

  • Fengshan Primary Schoolprimary570 m
  • Bedok Green Primary Schoolprimary830 m
  • Opera Estate Primary Schoolprimary1.0 km
  • Yu Neng Primary Schoolprimary1.0 km
  • Red Swastika Schoolprimary1.0 km
  • Bedok Green Secondary Schoolsecondary (s1-s5)1.2 km

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

Supply

Upcoming competition

  • SCENECA RESIDENCEMCC Land (TMK) Pte Ltd268 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
Apr 2026ApartmentS$1,250,0001,076 sqftS$1,16101-05
Dec 2025ApartmentS$690,000441 sqftS$1,56301-05
Nov 2025ApartmentS$678,000409 sqftS$1,65801-05
Jun 2025ApartmentS$700,000441 sqftS$1,58601-05
May 2025ApartmentS$698,000441 sqftS$1,58201-05
Sep 2023ApartmentS$685,000409 sqftS$1,67501-05
Mar 2023ApartmentS$685,000463 sqftS$1,48001-05
Jan 2023ApartmentS$601,000409 sqftS$1,46901-05
Jan 2023ApartmentS$600,000409 sqftS$1,46701-05
Dec 2022ApartmentS$605,000409 sqftS$1,47901-05
Sep 2022ApartmentS$1,100,0001,098 sqftS$1,00201-05
Sep 2021ApartmentS$560,000409 sqftS$1,36901-05

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.