Skip to content
SG Property Intel
Condominium99-yearOutside Central RegionInvestment score 71

Palm Gardens

HONG SAN WALK · D23

Median PSF · 12m

S$1,062

Median price · 12m

S$1.27M

Latest sale

S$1.00M

Aug 2026

1-year change

-1.0%

Sales · 12m

20

131 all time

Gross yield

4.01%

32 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
+31.6%
Annualised
+5.4%
Transactions
131
1 year
-1.0%
3 years p.a.
+2.3%
5 years p.a.
+5.3%
Median size
1,206 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
MeasurePalm GardensD23 medianDifference
Median PSFS$1,062S$1,486-28.6%
Median priceS$1.27MS$1.40M-9.1%
Gross rental yield4.01%3.96%+0.1 pts
1-year price change-1.0%+4.5%-5.5 pts

This development trades about 29% below the D23 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,800

Contracts · 12m

32

Implied annual rent

S$46K

Gross yield

4.01%

Unit typeContractsMedian rent
3 bedroom21S$3,850
2 bedroom6S$3,225
4 bedroom5S$4,650

Investment analysis

Investment score 71 / 100

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

71/100

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.

  • Liquidityweight 15%96

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

  • Valuationweight 22%90

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

  • Rental yieldweight 20%79

    Gross yield against every other development in its segment.

  • Locationweight 15%66

    Distance to the nearest rail station, plus schools within 1 km. Nearest is South View LRT at 330 m.

  • Price momentumweight 18%42

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

  • Supply riskweight 10%35

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

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

  • South View LRT330 m
  • Keat Hong LRT340 m
  • Choa Chu Kang West MRT720 m
  • Teck Whye LRT840 m

Schools within 2 km

  • South View Primary Schoolprimary450 m
  • Chua Chu Kang Primary Schoolprimary500 m
  • Bukit Panjang Govt. High Schoolsecondary (s1-s5)1.0 km
  • Teck Whye Primary Schoolprimary1.0 km
  • Concord Primary Schoolprimary1.2 km
  • Chua Chu Kang 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
Aug 2026CondominiumS$1,300,0001,206 sqftS$1,07811-1568 yr 5 mo
Aug 2026CondominiumS$1,000,000958 sqftS$1,04401-0568 yr 5 mo
Jul 2026CondominiumS$1,350,0001,216 sqftS$1,11006-1068 yr 6 mo
Jul 2026CondominiumS$1,050,000958 sqftS$1,09606-1068 yr 6 mo
Jul 2026CondominiumS$1,002,500958 sqftS$1,04606-1068 yr 6 mo
Jun 2026CondominiumS$1,295,0001,216 sqftS$1,06511-1568 yr 7 mo
Jun 2026CondominiumS$1,260,0001,216 sqftS$1,03606-1068 yr 7 mo
Apr 2026CondominiumS$1,650,0001,432 sqftS$1,15311-1568 yr 9 mo
Apr 2026CondominiumS$995,000958 sqftS$1,03901-0568 yr 9 mo
Mar 2026CondominiumS$1,292,0001,216 sqftS$1,06206-1068 yr 10 mo
Feb 2026CondominiumS$1,010,000958 sqftS$1,05406-1068 yr 11 mo
Jan 2026CondominiumS$1,280,0001,206 sqftS$1,06206-1069 yrs
Dec 2025CondominiumS$1,580,0001,432 sqftS$1,10401-0569 yr 1 mo
Dec 2025CondominiumS$1,300,0001,206 sqftS$1,07801-0569 yr 1 mo
Nov 2025CondominiumS$1,280,0001,206 sqftS$1,06211-1569 yr 2 mo
Nov 2025CondominiumS$1,238,0001,216 sqftS$1,01806-1069 yr 2 mo
Nov 2025CondominiumS$1,100,0001,206 sqftS$91201-0569 yr 2 mo
Nov 2025CondominiumS$978,000980 sqftS$99801-0569 yr 2 mo
Oct 2025CondominiumS$1,275,0001,216 sqftS$1,04811-1569 yr 3 mo
Oct 2025CondominiumS$1,270,0001,216 sqftS$1,04406-1069 yr 3 mo
Sep 2025CondominiumS$1,321,8881,206 sqftS$1,09611-1569 yr 4 mo
Aug 2025CondominiumS$1,315,0001,206 sqftS$1,09101-0569 yr 5 mo
Aug 2025CondominiumS$1,310,0001,206 sqftS$1,08716-2069 yr 5 mo
Jul 2025CondominiumS$1,800,0001,432 sqftS$1,25706-1069 yr 6 mo
Jul 2025CondominiumS$1,600,0001,432 sqftS$1,11811-1569 yr 6 mo
Jul 2025CondominiumS$1,570,0001,432 sqftS$1,09711-1569 yr 6 mo
Jul 2025CondominiumS$1,338,0001,206 sqftS$1,11011-1569 yr 6 mo
Jun 2025CondominiumS$1,408,8881,345 sqftS$1,04706-1069 yr 7 mo
Jun 2025CondominiumS$1,322,8001,206 sqftS$1,09716-2069 yr 7 mo
Jun 2025CondominiumS$1,250,0001,206 sqftS$1,03706-1069 yr 7 mo
Apr 2025CondominiumS$1,430,0001,345 sqftS$1,06301-0569 yr 9 mo
Apr 2025CondominiumS$1,280,0001,206 sqftS$1,06211-1569 yr 9 mo
Mar 2025CondominiumS$1,265,0001,206 sqftS$1,04901-0569 yr 10 mo
Mar 2025CondominiumS$1,260,0001,206 sqftS$1,04516-2069 yr 10 mo
Mar 2025CondominiumS$1,255,0001,206 sqftS$1,04101-0569 yr 10 mo
Feb 2025CondominiumS$1,345,0001,206 sqftS$1,11606-1069 yr 11 mo
Feb 2025CondominiumS$1,255,0001,206 sqftS$1,04111-1569 yr 11 mo
Jan 2025CondominiumS$1,475,0001,345 sqftS$1,09611-1570 yrs
Jan 2025CondominiumS$1,300,0001,216 sqftS$1,06901-0570 yrs
Jan 2025CondominiumS$1,267,0001,206 sqftS$1,05111-1570 yrs

Showing the 40 most recent of 131 recorded transactions.

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.