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SG Property Intel
Apartment99-yearRest of Central RegionInvestment score 68

Avant Residences

ALJUNIED ROAD · D14

Median PSF · 12m

S$1,393

Median price · 12m

S$675K

Latest sale

S$659K

Aug 2026

1-year change

-7.6%

Sales · 12m

4

9 all time

Gross yield

5.32%

26 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
-20.1%
Annualised
-12.0%
Transactions
9
1 year
-7.6%
3 years p.a.
-4.8%
5 years p.a.
Median size
484 sqft

Against the neighbourhood

How it compares within D14

Geylang, Eunos, Paya Lebar. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureAvant ResidencesD14 medianDifference
Median PSFS$1,393S$1,698-18.0%
Median priceS$675KS$1.43M-52.7%
Gross rental yield5.32%3.80%+1.5 pts
1-year price change-7.6%-2.1%-5.4 pts

This development trades about 18% below the D14 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$2,850

Contracts · 12m

26

Implied annual rent

S$34K

Gross yield

5.32%

Unit typeContractsMedian rent
All units13S$2,700
1 bedroom11S$3,000
2 bedroom2S$3,300

Investment analysis

Investment score 68 / 100

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

68/100

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.

  • Supply riskweight 10%100

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

  • Rental yieldweight 20%97

    Gross yield against every other development in its segment.

  • Liquidityweight 15%82

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

  • Valuationweight 22%79

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

  • Locationweight 15%51

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Mattar MRT at 540 m.

  • Price momentumweight 18%7

    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

  • Mattar MRT540 m
  • Aljunied MRT670 m
  • Macpherson MRT1.0 km
  • Macpherson Interchange MRT1.1 km

Schools within 2 km

  • Canossa Catholic Primary Schoolprimary510 m
  • Geylang Methodist School (Secondary)secondary (s1-s5)540 m
  • Geylang Methodist School (Primary)primary590 m
  • Kong Hwa Schoolprimary1.5 km
  • Cedar Girls' Secondary Schoolsecondary (s1-s4)1.5 km
  • Cedar Primary Schoolprimary1.6 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
Aug 2026ApartmentS$659,000484 sqftS$1,36101-0584 yr 5 mo
Jul 2026ApartmentS$1,240,000915 sqftS$1,35501-0584 yr 6 mo
Jul 2026ApartmentS$690,000484 sqftS$1,42506-1084 yr 6 mo
Apr 2026ApartmentS$660,000420 sqftS$1,57206-1084 yr 9 mo
Nov 2024ApartmentS$600,000398 sqftS$1,50701-0586 yr 2 mo
Jan 2024ApartmentS$680,000452 sqftS$1,50406-1087 yrs
Dec 2023ApartmentS$830,000527 sqftS$1,57406-1087 yr 1 mo
Jul 2023ApartmentS$803,000527 sqftS$1,52201-0587 yr 6 mo
Apr 2023ApartmentS$660,000388 sqftS$1,70306-1087 yr 9 mo

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.