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SG Property Intel
HDB99-yearBuilt 2021Rest of Central RegionInvestment score 56

Blk 111A Alkaff Cres

ALKAFF CRES · TOA PAYOH · Singapore 341111 · D13

Median PSF · 12m

S$1,079

Median price · 12m

S$1.08M

Latest sale

S$960K

Aug 2026

1-year change

Sales · 12m

8

8 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
+8.0%
Annualised
+16.6%
Transactions
8
1 year
3 years p.a.
5 years p.a.
Median size
1,001 sqft

Against the neighbourhood

How it compares within D13

Macpherson, Braddell, Potong Pasir. All figures are medians over the last 12 months for HDB flats in this district.

District analytics
MeasureBlk 111A Alkaff CresD13 medianDifference
Median PSFS$1,079S$961+12.3%
Median priceS$1.08MS$819K+31.9%
Gross rental yield6.31%
1-year price change+10.4%

This development trades about 12% above the D13 median price per square foot.

Rental

Rent and yield

From HDB approved subletting contracts published on data.gov.sg.

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 56 / 100

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

56/100

62% 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.

  • Supply riskweight 10%100

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

  • Liquidityweight 15%97

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

  • Locationweight 15%41

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Woodleigh MRT at 540 m.

  • Valuationweight 22%19

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

  • Rental yieldweight 20%not measurable

    Gross yield against every other development in its segment.

  • Price momentumweight 18%not measurable

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

Not enough data to score rental yield, price momentum.

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

  • Woodleigh MRT540 m
  • Potong Pasir MRT570 m
  • Bartley MRT1.2 km
  • Mattar MRT1.4 km

Schools within 2 km

  • Cedar Girls' Secondary Schoolsecondary (s1-s4)140 m
  • Cedar Primary Schoolprimary300 m
  • St Andrew'S School (Secondary)secondary (s1-s5)880 m
  • Maris Stella High Schoolmixed level (p1-s4)910 m
  • St Andrew'S School (Junior)primary1.0 km
  • St Andrew'S Junior Collegejunior college1.1 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 20264 ROOMS$960,0001,001 sqftS$95904 TO 0694 yr 5 mo
Jul 20264 ROOMS$1,100,0001,001 sqftS$1,09910 TO 1294 yr 6 mo
Jul 20264 ROOMS$1,100,0001,001 sqftS$1,09907 TO 0994 yr 5 mo
Jul 20264 ROOMS$1,080,0001,001 sqftS$1,07910 TO 1294 yr 6 mo
Jul 20264 ROOMS$1,080,0001,001 sqftS$1,07907 TO 0994 yr 5 mo
Jun 20264 ROOMS$1,150,0001,001 sqftS$1,14910 TO 1294 yr 7 mo
Jun 20264 ROOMS$1,000,0001,001 sqftS$99907 TO 0994 yr 7 mo
Jun 20264 ROOMS$950,0001,001 sqftS$94904 TO 0694 yr 7 mo

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.