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SG Property Intel
HDB99-yearBuilt 2021Outside Central RegionInvestment score 34

Blk 422B Northshore Dr

NORTHSHORE DR · PUNGGOL · Singapore 822422 · D19

Median PSF · 12m

S$822

Median price · 12m

S$872K

Latest sale

S$710K

Aug 2026

1-year change

Sales · 12m

9

9 all time

Gross yield

4.08%

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
-4.0%
Annualised
-7.8%
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 422B Northshore DrD19 medianDifference
Median PSFS$822S$642+28.0%
Median priceS$872KS$660K+32.1%
Gross rental yield4.08%5.85%-1.8 pts
1-year price change+0.5%

This development trades about 28% 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$3,400

Contracts · 12m

1

Implied annual rent

S$41K

Gross yield

4.08%

Unit typeContractsMedian rent
5 ROOM1S$3,400

Investment analysis

Investment score 34 / 100

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

34/100

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.

  • Supply riskweight 10%46

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

  • Locationweight 15%46

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Punggol Point LRT at 380 m.

  • Valuationweight 22%7

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

  • Rental yieldweight 20%2

    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 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 LRT380 m
  • Samudera LRT550 m
  • Ne18 MRT770 m
  • Punggol Coast MRT780 m

Schools within 2 km

  • Northshore Primary Schoolprimary200 m
  • Punggol Cove Primary Schoolprimary1.2 km
  • Valour Primary Schoolprimary1.6 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$790,0001,001 sqftS$78907 TO 0994 yr 2 mo
Aug 20264 ROOMS$710,0001,001 sqftS$70901 TO 0394 yr 2 mo
Aug 20264 ROOMS$700,0001,001 sqftS$69904 TO 0694 yr 3 mo
Jul 20265 ROOMS$1,000,0001,216 sqftS$82222 TO 2494 yr 3 mo
Jul 20265 ROOMS$980,0001,216 sqftS$80604 TO 0694 yr 3 mo
Jul 20264 ROOMS$872,0001,001 sqftS$87119 TO 2194 yr 4 mo
Jun 20265 ROOMS$1,000,0001,216 sqftS$82213 TO 1594 yr 5 mo
Jun 20264 ROOMS$850,0001,001 sqftS$84910 TO 1294 yr 5 mo
May 20265 ROOMS$1,010,0001,216 sqftS$83013 TO 1594 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.