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SG Property Intel
HDB99-yearBuilt 1984Outside Central RegionInvestment score 63

Blk 163 Woodlands St 13

WOODLANDS ST 13 · WOODLANDS · Singapore 730163 · D25

Median PSF · 12m

S$479

Median price · 12m

S$500K

Latest sale

S$500K

Apr 2026

1-year change

Sales · 12m

1

10 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.

1 year
3 years p.a.
5 years p.a.
Median size
1,044 sqft

Against the neighbourhood

How it compares within D25

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

District analytics
MeasureBlk 163 Woodlands St 13D25 medianDifference
Median PSFS$479S$522-8.3%
Median priceS$500KS$588K-15.0%
Gross rental yield6.29%
1-year price change-0.9%

This development trades about 8% below the D25 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 63 / 100

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

63/100

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%85

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

  • Locationweight 15%82

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Marsiling MRT at 40 m.

  • Valuationweight 22%67

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

  • Liquidityweight 15%22

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

  • 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

  • Marsiling MRT40 m
  • Woodlands MRT1.6 km
  • Woodlands Interchange MRT1.6 km
  • Kranji MRT1.6 km

Schools within 2 km

  • Marsiling Primary Schoolprimary100 m
  • Marsiling Secondary Schoolsecondary (s1-s5)460 m
  • Woodlands Ring Secondary Schoolsecondary (s1-s5)480 m
  • Fuchun Primary Schoolprimary550 m
  • Woodlands Secondary Schoolsecondary (s1-s5)680 m
  • Si Ling Primary Schoolprimary1.3 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
Apr 20264 ROOMS$500,0001,044 sqftS$47901 TO 0358 yr 3 mo
Sep 20204 ROOMS$335,000980 sqftS$34201 TO 0363 yr 10 mo
Apr 20183 ROOMS$280,000786 sqftS$35601 TO 0366 yr 3 mo
Jul 20174 ROOMS$367,000980 sqftS$37501 TO 0366 yr 11 mo
Dec 20134 ROOMS$370,000980 sqftS$37801 TO 0370 yr 1 mo
Jun 20124 ROOMS$385,000980 sqftS$39301 TO 0371 yr 7 mo
Sep 20114 ROOMS$363,000980 sqftS$37101 TO 0372 yr 4 mo
Jul 20103 ROOMS$275,000721 sqftS$38101 TO 0373 yr 6 mo
Mar 20103 ROOMS$245,000721 sqftS$34001 TO 0373 yr 10 mo
Sep 20093 ROOMS$250,000786 sqftS$31801 TO 0374 yr 4 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.