Skip to content
SG Property Intel
CondominiumFreeholdOutside Central RegionInvestment score 49

Eng Kong Green

ENG KONG CRESCENT · D21

Median PSF · 12m

S$1,536

Median price · 12m

S$1.29M

Latest sale

S$1.23M

Nov 2025

1-year change

Sales · 12m

2

13 all time

Gross yield

3.12%

17 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
+12.2%
Annualised
+5.9%
Transactions
13
1 year
3 years p.a.
+2.3%
5 years p.a.
Median size
840 sqft

Against the neighbourhood

How it compares within D21

Upper Bukit Timah, Clementi Park, Ulu Pandan. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureEng Kong GreenD21 medianDifference
Median PSFS$1,536S$1,833-16.2%
Median priceS$1.29MS$1.99M-35.3%
Gross rental yield3.12%3.74%-0.6 pts
1-year price change+8.7%

This development trades about 16% below the D21 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,250

Contracts · 12m

17

Implied annual rent

S$39K

Gross yield

3.12%

Unit typeContractsMedian rent
2 bedroom17S$3,250

Investment analysis

Investment score 49 / 100

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

49/100

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.

  • Valuationweight 22%75

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

  • Liquidityweight 15%69

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

  • Rental yieldweight 20%50

    Gross yield against every other development in its segment.

  • Price momentumweight 18%41

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

  • Supply riskweight 10%23

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

  • Locationweight 15%16

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Beauty World MRT at 1.0 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

  • Beauty World MRT1.0 km
  • King Albert Park MRT1.6 km

Schools within 2 km

  • Bukit Timah Primary Schoolprimary320 m
  • Pei Hwa Presbyterian Primary Schoolprimary840 m
  • Methodist Girls' School (Secondary)secondary (s1-s4)1.6 km
  • Keming Primary Schoolprimary1.8 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
Nov 2025CondominiumS$1,350,000840 sqftS$1,60801-05
Nov 2025CondominiumS$1,230,000840 sqftS$1,46501-05
Sep 2024Semi-detachedS$5,230,0002,325 sqftS$2,249-
Sep 2024CondominiumS$1,260,000840 sqftS$1,50101-05
Apr 2024CondominiumS$1,250,000840 sqftS$1,48901-05
Mar 2024CondominiumS$1,160,000840 sqftS$1,38201-05
Mar 2023CondominiumS$1,500,0001,044 sqftS$1,43701-05
Sep 2022CondominiumS$1,385,0001,044 sqftS$1,32701-05
Aug 2022CondominiumS$1,450,0001,044 sqftS$1,38901-05
Jul 2022CondominiumS$1,420,0001,044 sqftS$1,36001-05
Jul 2022CondominiumS$1,220,000840 sqftS$1,45301-05
Jan 2022CondominiumS$1,100,000840 sqftS$1,31001-05
Nov 2021CondominiumS$1,150,000840 sqftS$1,37001-05

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.