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SG Property Intel
ApartmentFreeholdRest of Central RegionInvestment score 58

St Michael Regency

ST. MICHAEL'S ROAD · Singapore 327954 · D12

Median PSF · 12m

S$1,858

Median price · 12m

S$1.72M

Latest sale

S$1.72M

Nov 2025

1-year change

+14.0%

Sales · 12m

1

12 all time

Gross yield

3.53%

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
+33.3%
Annualised
+13.6%
Transactions
12
1 year
+14.0%
3 years p.a.
+8.3%
5 years p.a.
Median size
1,238 sqft

Against the neighbourhood

How it compares within D12

Balestier, Toa Payoh, Serangoon. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureSt Michael RegencyD12 medianDifference
Median PSFS$1,858S$1,748+6.3%
Median priceS$1.72MS$1.50M+14.7%
Gross rental yield3.53%3.73%-0.2 pts
1-year price change+14.0%+2.3%+11.6 pts

This development trades about 6% above the D12 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,750

Contracts · 12m

4

Implied annual rent

S$57K

Gross yield

3.53%

Unit typeContractsMedian rent
3 bedroom4S$4,750

Investment analysis

Investment score 58 / 100

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

58/100

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.

  • Price momentumweight 18%87

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

  • Supply riskweight 10%65

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

  • Rental yieldweight 20%64

    Gross yield against every other development in its segment.

  • Liquidityweight 15%56

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

  • Locationweight 15%45

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Boon Keng MRT at 780 m.

  • Valuationweight 22%34

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

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

  • Boon Keng MRT780 m
  • Potong Pasir MRT870 m
  • Geylang Bahru MRT1.0 km
  • Bendemeer MRT1.3 km

Schools within 2 km

  • Bendemeer Secondary Schoolsecondary (s1-s5)370 m
  • Bendemeer Primary Schoolprimary430 m
  • St Andrew'S School (Secondary)secondary (s1-s5)620 m
  • St Andrew'S School (Junior)primary670 m
  • Hong Wen Schoolprimary830 m
  • St Andrew'S Junior Collegejunior college840 m

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 2025ApartmentS$1,720,000926 sqftS$1,85806-10
Jul 2025ApartmentS$1,508,888926 sqftS$1,63011-15
Jan 2025ApartmentS$2,130,0001,249 sqftS$1,70606-10
Oct 2024ApartmentS$1,928,0001,238 sqftS$1,55806-10
Jan 2024ApartmentS$1,825,0001,238 sqftS$1,47401-05
Oct 2023ApartmentS$1,780,0001,249 sqftS$1,42611-15
Apr 2023ApartmentS$1,355,000926 sqftS$1,46406-10
Jul 2022ApartmentS$1,665,0001,238 sqftS$1,34506-10
May 2022ApartmentS$3,200,0003,875 sqftS$82611-15
May 2022ApartmentS$1,800,0001,238 sqftS$1,45411-15
May 2022ApartmentS$1,650,0001,238 sqftS$1,33301-05
Apr 2022ApartmentS$1,350,000926 sqftS$1,45806-10

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.