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SGPropertyIntel
HDB99-yearBuilt 1986Outside Central RegionInvestment score 44

Blk 640A Yishun St 61

YISHUN ST 61 · YISHUN · Singapore 761640 · D27

Median PSF · 12m

Median price · 12m

Latest sale

S$410K

Feb 2025

1-year change

Sales · 12m

0

12 all time

Gross yield

7.32%

1 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
+59.7%
Annualised
+59.7%
Transactions
4
1 year
3 years p.a.
5 years p.a.
Median size
980 sqft

Against the neighbourhood

How it compares within D27

Yishun, Sembawang. All figures are medians over the last 12 months for HDB flats in this district.

District analytics
MeasureBlk 640A Yishun St 61D27 medianDifference
Median PSFS$572
Median priceS$565K
Gross rental yield7.32%6.45%+0.9 pts
1-year price change-2.6%

Rental

Rent and yield

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

Median monthly rent

S$2,300

Contracts · 12m

1

Implied annual rent

S$28K

Gross yield

7.32%

Unit typeContractsMedian rent
EXECUTIVE1S$2,300

Investment analysis

Investment score 44 / 100

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

44/100

60% 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%79

    Gross yield against every other development in its segment.

  • Supply riskweight 10%54

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

  • Locationweight 15%33

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Khatib MRT at 790 m.

  • Liquidityweight 15%0

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

  • Valuationweight 22%not measurable

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

  • Price momentumweight 18%not measurable

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

Not enough data to score valuation, 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

  • Khatib MRT790 m
  • Yishun MRT1.1 km

Schools within 2 km

  • Northland Primary Schoolprimary200 m
  • Chung Cheng High School (Yishun)secondary (s1-s5)270 m
  • Naval Base Primary Schoolprimary510 m
  • Orchid Park Secondary Schoolsecondary (s1-s5)630 m
  • Northbrooks Secondary Schoolsecondary (s1-s5)670 m
  • Huamin Primary Schoolprimary880 m

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

Supply

Upcoming competition

  • NORTH GAIASing Holdings (Yishun) Pte Ltd616 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Feb 20253 ROOMS$410,000689 sqftS$59501 TO 0366 yr 5 mo
Aug 20244 ROOMS$485,000980 sqftS$49501 TO 0366 yr 11 mo
Jan 2022EXECUTIVES$800,0001,711 sqftS$46701 TO 0369 yr 6 mo
Apr 20214 ROOMS$365,000980 sqftS$37301 TO 0370 yr 3 mo
Sep 2019EXECUTIVES$695,8881,765 sqftS$39401 TO 0371 yr 9 mo
Mar 2012EXECUTIVES$655,0001,765 sqftS$37101 TO 0578 yr 10 mo
Jan 20023 ROOMS$114,000689 sqftS$16504 TO 0689 yrs
Oct 2000EXECUTIVES$435,0001,711 sqftS$25401 TO 0390 yr 3 mo
Jun 20004 ROOMS$225,000980 sqftS$23001 TO 0390 yr 7 mo
Jul 19983 ROOMS$127,000689 sqftS$18404 TO 0692 yr 6 mo
Mar 1997EXECUTIVES$600,0001,711 sqftS$35101 TO 0393 yr 10 mo
Apr 1995EXECUTIVES$357,0001,765 sqftS$20201 TO 0395 yr 9 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.