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SG Property Intel
Semi-detachedFreeholdOutside Central RegionInvestment score 45

Bukit Loyang Estate

JALAN BATALONG EAST · D17

Median PSF · 12m

S$1,642

Median price · 12m

S$5.50M

Latest sale

S$6.80M

Mar 2026

1-year change

Sales · 12m

3

12 all time

Gross yield

1.09%

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
-9.7%
Annualised
-4.0%
Transactions
12
1 year
3 years p.a.
+9.5%
5 years p.a.
Median size
3,365 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
MeasureBukit Loyang EstateD17 medianDifference
Median PSFS$1,642S$1,793-8.4%
Median priceS$5.50MS$1.72M+220.1%
Gross rental yield1.09%3.07%-2.0 pts
1-year price change+43.1%

This development trades about 8% below the D17 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

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 45 / 100

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

45/100

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%78

    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.

  • Valuationweight 22%40

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

  • Locationweight 15%11

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Pasir Ris East MRT at 1.0 km.

  • Rental yieldweight 20%3

    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

  • Pasir Ris East MRT1.0 km
  • Loyang MRT1.1 km
  • Tampines East MRT1.6 km

Schools within 2 km

  • White Sands Primary Schoolprimary890 m
  • East Spring Secondary Schoolsecondary (s1-s5)1.1 km
  • Pasir Ris Primary Schoolprimary1.3 km
  • East Spring Primary Schoolprimary1.3 km
  • Loyang View Secondary Schoolsecondary (s1-s5)1.3 km
  • Dunman Secondary Schoolsecondary (s1-s5)1.3 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
Mar 2026Semi-detachedS$6,800,0005,624 sqftS$1,209-
Nov 2025Semi-detachedS$5,500,0003,268 sqftS$1,683-
Oct 2025Semi-detachedS$5,500,0003,350 sqftS$1,642-
Jul 2024Semi-detachedS$5,780,0006,538 sqftS$884-
Jun 2024Semi-detachedS$4,880,0003,509 sqftS$1,391-
May 2023Semi-detachedS$4,700,0003,324 sqftS$1,414-
Dec 2022Semi-detachedS$3,600,0003,322 sqftS$1,084-
Jul 2022Semi-detachedS$4,168,0003,609 sqftS$1,155-
Jul 2022Semi-detachedS$4,000,0003,380 sqftS$1,183-
Jun 2022Semi-detachedS$3,750,0003,327 sqftS$1,127-
Mar 2022Semi-detachedS$3,800,0003,320 sqftS$1,145-
Nov 2021Semi-detachedS$4,550,0003,397 sqftS$1,339-

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.