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SG Property Intel
Apartment99-yearRest of Central RegionInvestment score 65

Thomson V One

SIN MING ROAD · Singapore 575627 · D20

Median PSF · 12m

S$1,119

Median price · 12m

S$1.00M

Latest sale

S$1.00M

Aug 2026

1-year change

-26.3%

Sales · 12m

1

10 all time

Gross yield

5.37%

4 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
-24.2%
Annualised
-16.9%
Transactions
10
1 year
-26.3%
3 years p.a.
-9.8%
5 years p.a.
Median size
517 sqft

Against the neighbourhood

How it compares within D20

Bishan, Ang Mo Kio, Thomson. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureThomson V OneD20 medianDifference
Median PSFS$1,119S$1,955-42.7%
Median priceS$1.00MS$1.93M-48.2%
Gross rental yield5.37%3.44%+1.9 pts
1-year price change-26.3%+6.0%-32.3 pts

This development trades about 43% below the D20 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$3,025

Contracts · 12m

4

Implied annual rent

S$36K

Gross yield

5.37%

Unit typeContractsMedian rent
1 bedroom3S$3,000
2 bedroom1S$3,600

Investment analysis

Investment score 65 / 100

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

65/100

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.

  • Rental yieldweight 20%97

    Gross yield against every other development in its segment.

  • Valuationweight 22%96

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

  • Supply riskweight 10%81

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

  • Liquidityweight 15%56

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

  • Locationweight 15%49

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Bright Hill Interchange MRT at 680 m.

  • Price momentumweight 18%3

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

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

  • Bright Hill Interchange MRT680 m
  • Teck Ghee MRT740 m
  • Bright Hill MRT910 m
  • Upper Thomson MRT1.1 km

Schools within 2 km

  • Eunoia Junior Collegejunior college240 m
  • Whitley Secondary Schoolsecondary (s1-s5)620 m
  • Catholic High Schoolmixed level (p1-s4)800 m
  • Ang Mo Kio Secondary Schoolsecondary (s1-s5)820 m
  • Ai Tong Schoolprimary830 m
  • Ang Mo Kio Primary Schoolprimary1.0 km

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

Supply

Upcoming competition

  • ARTISAN 8Apex Asia (2) Pte. Ltd.34 units850 m

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Aug 2026ApartmentS$1,000,000893 sqftS$1,11901-0573 yr 5 mo
May 2025ApartmentS$670,000441 sqftS$1,51801-0574 yr 8 mo
Mar 2023ApartmentS$700,000441 sqftS$1,58601-0576 yr 10 mo
Jan 2023ApartmentS$688,000452 sqftS$1,52201-0577 yrs
Jan 2023ApartmentS$615,000420 sqftS$1,46501-0577 yrs
Dec 2022ApartmentS$888,000581 sqftS$1,52801-0577 yr 1 mo
Nov 2022ApartmentS$1,335,0001,163 sqftS$1,14801-0577 yr 2 mo
Jun 2022ApartmentS$895,000624 sqftS$1,43401-0577 yr 7 mo
Apr 2022ApartmentS$1,100,000926 sqftS$1,18801-0577 yr 9 mo
Jan 2022ApartmentS$620,000420 sqftS$1,47701-0578 yrs

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.