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SG Property Intel
TerraceFreeholdOutside Central RegionInvestment score 31

Avila Terrace

MARIAM WAY · D17

Median PSF · 12m

S$1,903

Median price · 12m

S$4.04M

Latest sale

S$4.10M

Jul 2026

1-year change

-9.9%

Sales · 12m

2

13 all time

Gross yield

1.91%

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
+39.3%
Annualised
+14.2%
Transactions
13
1 year
-9.9%
3 years p.a.
+0.6%
5 years p.a.
Median size
1,757 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
MeasureAvila TerraceD17 medianDifference
Median PSFS$1,903S$1,793+6.2%
Median priceS$4.04MS$1.72M+135.4%
Gross rental yield1.91%3.07%-1.2 pts
1-year price change-9.9%+43.1%-53.0 pts

This development trades about 6% above the D17 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,000

Contracts · 12m

3

Implied annual rent

S$72K

Gross yield

1.91%

Unit typeContractsMedian rent
All units3S$6,000

Investment analysis

Investment score 31 / 100

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

31/100

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.

  • Liquidityweight 15%69

    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.

  • Price momentumweight 18%27

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

  • Valuationweight 22%21

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

  • Rental yieldweight 20%19

    Gross yield against every other development in its segment.

  • Locationweight 15%7

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Pasir Ris East MRT at 1.3 km.

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 MRT1.3 km
  • Loyang MRT1.4 km
  • Tampines East MRT1.6 km

Schools within 2 km

  • East Spring Secondary Schoolsecondary (s1-s5)1.0 km
  • East Spring Primary Schoolprimary1.1 km
  • White Sands Primary Schoolprimary1.1 km
  • Dunman Secondary Schoolsecondary (s1-s5)1.4 km
  • Temasek Junior Collegemixed level (s1-jc2)1.4 km
  • Ngee Ann Secondary Schoolsecondary (s1-s5)1.5 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
Jul 2026TerraceS$4,100,0001,760 sqftS$2,330-
Feb 2026TerraceS$3,988,8882,702 sqftS$1,476-
Jun 2025TerraceS$3,680,0001,757 sqftS$2,095-
May 2025TerraceS$3,738,0001,755 sqftS$2,131-
Apr 2025TerraceS$3,800,0001,757 sqftS$2,163-
Nov 2024TerraceS$3,380,0001,757 sqftS$1,924-
Jun 2024TerraceS$3,645,0001,757 sqftS$2,075-
Aug 2023TerraceS$3,300,0001,769 sqftS$1,866-
Nov 2022TerraceS$3,350,0001,786 sqftS$1,876-
Aug 2022TerraceS$3,908,0002,776 sqftS$1,408-
Jul 2022TerraceS$3,500,0002,730 sqftS$1,282-
Jan 2022TerraceS$2,780,0001,757 sqftS$1,583-
Nov 2021TerraceS$2,938,0001,757 sqftS$1,672-

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.