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SG Property Intel
Strata Terrace99-yearOutside Central RegionInvestment score 66

The Areca

BUNGA RAMPAI PLACE · D19

Median PSF · 12m

S$1,008

Median price · 12m

S$2.54M

Latest sale

S$2.54M

Jan 2026

1-year change

-0.7%

Sales · 12m

1

10 all time

Gross yield

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
+25.3%
Annualised
+11.9%
Transactions
10
1 year
-0.7%
3 years p.a.
+5.1%
5 years p.a.
Median size
2,454 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureThe ArecaD19 medianDifference
Median PSFS$1,008S$1,626-38.0%
Median priceS$2.54MS$1.58M+60.8%
Gross rental yield3.42%
1-year price change-0.7%+4.9%-5.6 pts

This development trades about 38% below the D19 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 66 / 100

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

66/100

80% 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.

  • Valuationweight 22%97

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

  • Price momentumweight 18%71

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

  • Liquidityweight 15%56

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

  • Supply riskweight 10%46

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

  • Locationweight 15%38

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Tai Seng MRT at 620 m.

  • Rental yieldweight 20%not measurable

    Gross yield against every other development in its segment.

Not enough data to score rental yield.

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

  • Tai Seng MRT620 m
  • Bartley MRT630 m
  • Mattar MRT1.4 km
  • Woodleigh MRT1.5 km

Schools within 2 km

  • Bartley Secondary Schoolsecondary (s1-s5)150 m
  • Maris Stella High Schoolmixed level (p1-s4)720 m
  • Cedar Primary Schoolprimary1.0 km
  • Paya Lebar Methodist Girls' School (Primary)primary1.1 km
  • St. Gabriel'S Secondary Schoolsecondary (s1-s5)1.2 km
  • Cedar Girls' Secondary Schoolsecondary (s1-s4)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
Jan 2026Strata TerraceS$2,539,9992,519 sqftS$1,008-73 yrs
May 2025Strata TerraceS$2,520,0002,519 sqftS$1,000-73 yr 8 mo
Mar 2025Strata TerraceS$2,570,0002,454 sqftS$1,047-73 yr 10 mo
Jan 2025Strata TerraceS$2,450,0002,465 sqftS$994-74 yrs
Dec 2024Strata TerraceS$2,520,0002,443 sqftS$1,031-74 yr 1 mo
Aug 2024Strata TerraceS$2,510,0002,519 sqftS$997-74 yr 5 mo
Jun 2024Strata TerraceS$2,480,0002,454 sqftS$1,011-74 yr 7 mo
Apr 2023Strata TerraceS$2,128,8882,454 sqftS$867-75 yr 9 mo
Aug 2022Strata TerraceS$2,038,8882,443 sqftS$834-76 yr 5 mo
Jul 2022Strata TerraceS$1,868,8882,411 sqftS$775-76 yr 6 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.