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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 43

Changi Heights

JALAN SINAR BINTANG · D17

Median PSF · 12m

S$2,123

Median price · 12m

S$3.85M

Latest sale

S$6.10M

May 2026

1-year change

+3.5%

Sales · 12m

5

14 all time

Gross yield

2.03%

1 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
+4.7%
Annualised
+2.1%
Transactions
14
1 year
+3.5%
3 years p.a.
+9.6%
5 years p.a.
Median size
1,778 sqft

Against the neighbourhood

How it compares within D17

Loyang, Changi, Flora Drive. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureChangi HeightsD17 medianDifference
Median PSFS$2,123S$1,793+18.4%
Median priceS$3.85MS$1.72M+124.4%
Gross rental yield2.03%3.07%-1.0 pts
1-year price change+3.5%+43.1%-39.7 pts

This development trades about 18% above the D17 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,300

Contracts · 12m

1

Implied annual rent

S$76K

Gross yield

2.03%

Unit typeContractsMedian rent
All units1S$6,300

Investment analysis

Investment score 43 / 100

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

43/100

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%90

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

  • Liquidityweight 15%85

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

  • Supply riskweight 10%58

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

  • Rental yieldweight 20%22

    Gross yield against every other development in its segment.

  • Valuationweight 22%12

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

  • Locationweight 15%9

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Loyang MRT at 920 m.

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

  • Loyang MRT920 m
  • Pasir Ris East MRT1.4 km
  • Changi Airport MRT1.9 km

Schools within 2 km

  • White Sands Primary Schoolprimary1.3 km
  • Pasir Ris Primary Schoolprimary1.5 km
  • East Spring Secondary Schoolsecondary (s1-s5)1.5 km
  • East Spring Primary Schoolprimary1.7 km
  • Loyang View Secondary Schoolsecondary (s1-s5)1.8 km
  • Pasir Ris Crest Secondary Schoolsecondary (s1-s5)1.8 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

Browse all transactions
MonthTypePriceSizePSFFloorLease left
May 2026Semi-detachedS$6,100,0006,135 sqftS$994-
May 2026TerraceS$3,855,0001,816 sqftS$2,123-
Mar 2026Semi-detachedS$5,718,0005,008 sqftS$1,142-
Mar 2026TerraceS$3,728,0001,733 sqftS$2,151-
Oct 2025TerraceS$3,730,0001,773 sqftS$2,104-
Jun 2025TerraceS$3,660,0001,784 sqftS$2,052-
Jun 2024TerraceS$3,860,0002,403 sqftS$1,607-
May 2024TerraceS$3,400,0001,733 sqftS$1,962-
Apr 2024TerraceS$3,859,0002,287 sqftS$1,687-
Apr 2024TerraceS$3,400,0001,736 sqftS$1,958-
Feb 2023TerraceS$3,000,0001,861 sqftS$1,612-
Jun 2022TerraceS$2,860,0001,733 sqftS$1,650-
Jan 2022TerraceS$2,800,0001,733 sqftS$1,616-
Oct 2021TerraceS$2,580,0001,733 sqftS$1,489-

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.