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SG Property Intel
CondominiumFreeholdRest of Central RegionInvestment score 67

Escada View

LENGKONG EMPAT · D14

Median PSF · 12m

S$1,128

Median price · 12m

S$1.36M

Latest sale

S$1.36M

Jul 2026

1-year change

-1.4%

Sales · 12m

1

11 all time

Gross yield

4.80%

15 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
+14.2%
Annualised
+5.4%
Transactions
11
1 year
-1.4%
3 years p.a.
+1.8%
5 years p.a.
+2.7%
Median size
807 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
MeasureEscada ViewD14 medianDifference
Median PSFS$1,128S$1,698-33.6%
Median priceS$1.36MS$1.43M-4.7%
Gross rental yield4.80%3.80%+1.0 pts
1-year price change-1.4%-2.1%+0.7 pts

This development trades about 34% below the D14 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,600

Contracts · 12m

15

Implied annual rent

S$43K

Gross yield

4.80%

Unit typeContractsMedian rent
3 bedroom9S$4,400
2 bedroom4S$3,100
1 bedroom2S$3,100

Investment analysis

Investment score 67 / 100

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

67/100

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%94

    Gross yield against every other development in its segment.

  • Valuationweight 22%93

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

  • Liquidityweight 15%56

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

  • Price momentumweight 18%36

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

  • Locationweight 15%21

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Kembangan MRT at 790 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

  • Kembangan MRT790 m
  • Kaki Bukit MRT870 m
  • Bedok North MRT1.0 km
  • Eunos MRT1.5 km

Schools within 2 km

  • Telok Kurau Primary Schoolprimary380 m
  • St. Stephen'S Schoolprimary1.2 km
  • Manjusri Secondary Schoolsecondary (s1-s5)1.2 km
  • Damai Primary Schoolprimary1.3 km
  • Maha Bodhi Schoolprimary1.3 km
  • Opera Estate Primary Schoolprimary1.6 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units1.8 km
  • KOON SENG HOUSEMequity K Pte Ltd17 units2.0 km

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jul 2026CondominiumS$1,360,0001,206 sqftS$1,12801-05
Oct 2024CondominiumS$1,460,0001,163 sqftS$1,25601-05
Oct 2024CondominiumS$800,000775 sqftS$1,03201-05
Jan 2024CondominiumS$868,000753 sqftS$1,15206-10
Dec 2023CondominiumS$915,000775 sqftS$1,18106-10
Aug 2023CondominiumS$915,000840 sqftS$1,09001-05
Apr 2023CondominiumS$1,520,0001,442 sqftS$1,05406-10
Nov 2022CondominiumS$818,000764 sqftS$1,07006-10
Sep 2022CondominiumS$1,020,000936 sqftS$1,08901-05
Apr 2022CondominiumS$766,000753 sqftS$1,01701-05
Sep 2021CondominiumS$1,340,0001,356 sqftS$98806-10

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.