Skip to content
SG Property Intel
DetachedFreeholdOutside Central RegionInvestment score 49

Green Hill Estate

CHESTNUT CLOSE · D23

Median PSF · 12m

S$1,504

Median price · 12m

S$11.5M

Latest sale

S$11.5M

Jan 2026

1-year change

+3.9%

Sales · 12m

1

12 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
+15.7%
Annualised
+5.4%
Transactions
12
1 year
+3.9%
3 years p.a.
+5.4%
5 years p.a.
+3.0%
Median size
8,976 sqft

Against the neighbourhood

How it compares within D23

Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureGreen Hill EstateD23 medianDifference
Median PSFS$1,504S$1,486+1.2%
Median priceS$11.5MS$1.40M+721.4%
Gross rental yield3.96%
1-year price change+3.9%+4.5%-0.6 pts

This development trades broadly in line with the D23 median.

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 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

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.

  • Price momentumweight 18%73

    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.

  • Valuationweight 22%38

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

  • Locationweight 15%38

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Pending LRT at 760 m.

  • Supply riskweight 10%35

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

  • 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

  • Pending LRT760 m
  • Cashew MRT940 m
  • Hillview MRT1.0 km
  • Petir LRT1.1 km

Schools within 2 km

  • Assumption English Schoolsecondary (s1-s5)520 m
  • Bukit Panjang Primary Schoolprimary580 m
  • Chij Our Lady Queen Of Peaceprimary670 m
  • Assumption Pathway Schoolsecondary (s1-s4)740 m
  • Zhenghua Primary Schoolprimary1.2 km
  • Greenridge Secondary Schoolsecondary (s1-s5)1.2 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 2026DetachedS$11,500,0007,645 sqftS$1,504-
Sep 2025DetachedS$13,000,0008,976 sqftS$1,448-
May 2025DetachedS$15,650,00010,695 sqftS$1,463-
Nov 2024DetachedS$14,188,88811,283 sqftS$1,258-
Feb 2024DetachedS$15,500,00014,526 sqftS$1,067-
Jun 2023Semi-detachedS$5,398,0003,980 sqftS$1,356-
Jan 2023DetachedS$7,268,0005,999 sqftS$1,212-
Aug 2022DetachedS$10,300,0008,030 sqftS$1,283-
Jun 2022DetachedS$21,080,00015,599 sqftS$1,351-
Jun 2022DetachedS$8,500,0007,091 sqftS$1,199-
Mar 2022DetachedS$29,300,00022,472 sqftS$1,304-
Sep 2021DetachedS$9,300,0007,152 sqftS$1,300-

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.