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SG Property Intel
HDB99-yearBuilt 2021Outside Central RegionInvestment score 53

Blk 415B Northshore Dr

NORTHSHORE DR · PUNGGOL · Singapore 822415 · D19

Median PSF · 12m

S$705

Median price · 12m

S$770K

Latest sale

S$850K

Sep 2026

1-year change

Sales · 12m

9

9 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
-15.9%
Annualised
-29.3%
Transactions
9
1 year
3 years p.a.
5 years p.a.
Median size
1,023 sqft

Against the neighbourhood

How it compares within D19

Serangoon Gardens, Hougang, Punggol, Sengkang. All figures are medians over the last 12 months for HDB flats in this district.

District analytics
MeasureBlk 415B Northshore DrD19 medianDifference
Median PSFS$705S$642+9.8%
Median priceS$770KS$660K+16.7%
Gross rental yield5.85%
1-year price change+0.5%

This development trades about 10% above the D19 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 53 / 100

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

53/100

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.

  • Liquidityweight 15%98

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

  • Locationweight 15%57

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Samudera LRT at 280 m.

  • Supply riskweight 10%46

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

  • Valuationweight 22%22

    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

  • Samudera LRT280 m
  • Nibong LRT600 m
  • Punggol Point LRT750 m
  • Teck Lee LRT880 m

Schools within 2 km

  • Northshore Primary Schoolprimary500 m
  • Punggol Cove Primary Schoolprimary640 m
  • Valour Primary Schoolprimary1.2 km
  • Yusof Ishak Secondary Schoolsecondary (s1-s5)1.2 km
  • Punggol View Primary Schoolprimary1.5 km
  • Punggol Green Primary Schoolprimary1.7 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
Sep 20265 ROOMS$850,0001,206 sqftS$70501 TO 0394 yr 5 mo
Aug 20265 ROOMS$765,0001,206 sqftS$63504 TO 0694 yr 5 mo
Aug 20264 ROOMS$690,0001,023 sqftS$67501 TO 0394 yr 5 mo
Jul 20264 ROOMS$770,0001,012 sqftS$76107 TO 0994 yr 7 mo
Jun 20265 ROOMS$1,088,0001,238 sqftS$87916 TO 1894 yr 8 mo
Jun 20265 ROOMS$1,080,0001,238 sqftS$87210 TO 1294 yr 8 mo
Jun 20264 ROOMS$660,0001,023 sqftS$64504 TO 0694 yr 8 mo
May 20264 ROOMS$830,0001,012 sqftS$82004 TO 0694 yr 9 mo
May 20264 ROOMS$720,0001,023 sqftS$70410 TO 1294 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.