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SG Property Intel
HDB99-yearBuilt 2021Outside Central RegionInvestment score 48

Blk 421B Northshore Dr

NORTHSHORE DR · PUNGGOL · Singapore 822421 · D19

Median PSF · 12m

S$842

Median price · 12m

S$785K

Latest sale

S$800K

Aug 2026

1-year change

Sales · 12m

9

9 all time

Gross yield

6.44%

5 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
-8.2%
Annualised
-15.8%
Transactions
9
1 year
3 years p.a.
5 years p.a.
Median size
1,001 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 421B Northshore DrD19 medianDifference
Median PSFS$842S$642+31.1%
Median priceS$785KS$660K+18.9%
Gross rental yield6.44%5.85%+0.6 pts
1-year price change+0.5%

This development trades about 31% above the D19 median price per square foot.

Rental

Rent and yield

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

Median monthly rent

S$2,500

Contracts · 12m

5

Implied annual rent

S$30K

Gross yield

6.44%

Unit typeContractsMedian rent
2 ROOM4S$2,375
4 ROOM1S$3,750

Investment analysis

Investment score 48 / 100

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

48/100

82% 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.

  • Rental yieldweight 20%56

    Gross yield against every other development in its segment.

  • Locationweight 15%48

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Punggol Point LRT at 360 m.

  • Supply riskweight 10%46

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

  • Valuationweight 22%6

    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 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

  • Punggol Point LRT360 m
  • Samudera LRT470 m
  • Teck Lee LRT740 m
  • Ne18 MRT770 m

Schools within 2 km

  • Northshore Primary Schoolprimary130 m
  • Punggol Cove Primary Schoolprimary1.1 km
  • Valour Primary Schoolprimary1.5 km
  • Punggol View Primary Schoolprimary1.6 km
  • Yusof Ishak Secondary Schoolsecondary (s1-s5)1.7 km
  • Oasis Primary Schoolprimary1.8 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$860,0001,033 sqftS$83222 TO 2494 yr 4 mo
Aug 20264 ROOMS$830,0001,033 sqftS$80319 TO 2194 yr 3 mo
Aug 20264 ROOMS$800,0001,001 sqftS$79910 TO 1294 yr 3 mo
Jul 20264 ROOMS$785,0001,001 sqftS$78404 TO 0694 yr 3 mo
Jul 20262 ROOMS$380,000409 sqftS$92901 TO 0394 yr 3 mo
Jun 20262 ROOMS$360,000409 sqftS$88001 TO 0394 yr 5 mo
May 20264 ROOMS$870,0001,033 sqftS$84225 TO 2794 yr 5 mo
May 20262 ROOMS$455,000506 sqftS$89904 TO 0694 yr 6 mo
May 20262 ROOMS$356,000409 sqftS$87016 TO 1894 yr 6 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.