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SG Property Intel
HDB99-yearBuilt 2020Outside Central RegionInvestment score 52

Blk 409D Northshore Dr

NORTHSHORE DR · PUNGGOL · Singapore 824409 · D19

Median PSF · 12m

S$734

Median price · 12m

S$862K

Latest sale

S$860K

Aug 2026

1-year change

Sales · 12m

10

10 all time

Gross yield

6.41%

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
-2.4%
Annualised
-3.2%
Transactions
10
1 year
3 years p.a.
5 years p.a.
Median size
1,206 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 409D Northshore DrD19 medianDifference
Median PSFS$734S$642+14.2%
Median priceS$862KS$660K+30.5%
Gross rental yield6.41%5.85%+0.6 pts
1-year price change+0.5%

This development trades about 14% 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$2,900

Contracts · 12m

1

Implied annual rent

S$35K

Gross yield

6.41%

Unit typeContractsMedian rent
3 ROOM1S$2,900

Investment analysis

Investment score 52 / 100

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

52/100

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.

  • Locationweight 15%59

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Samudera LRT at 260 m.

  • Rental yieldweight 20%55

    Gross yield against every other development in its segment.

  • Supply riskweight 10%46

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

  • Valuationweight 22%17

    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

  • Samudera LRT260 m
  • Punggol Point LRT420 m
  • Teck Lee LRT680 m
  • Nibong LRT750 m

Schools within 2 km

  • Northshore Primary Schoolprimary140 m
  • Punggol Cove Primary Schoolprimary860 m
  • Valour Primary Schoolprimary1.3 km
  • Punggol View Primary Schoolprimary1.4 km
  • Yusof Ishak Secondary Schoolsecondary (s1-s5)1.4 km
  • Oasis 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
Aug 20265 ROOMS$860,0001,206 sqftS$71319 TO 2193 yr 10 mo
Jul 20265 ROOMS$925,0001,206 sqftS$76716 TO 1893 yr 10 mo
Jul 20265 ROOMS$883,0001,206 sqftS$73219 TO 2193 yr 11 mo
Jul 20265 ROOMS$863,0001,206 sqftS$71604 TO 0693 yr 10 mo
Jul 20263 ROOMS$555,000721 sqftS$77004 TO 0693 yr 11 mo
Jun 20265 ROOMS$918,0001,206 sqftS$76122 TO 2494 yrs
Jun 20264 ROOMS$715,0001,012 sqftS$70707 TO 0994 yrs
Apr 20265 ROOMS$853,0001,206 sqftS$70810 TO 1294 yr 1 mo
Jan 20265 ROOMS$923,0001,206 sqftS$76622 TO 2494 yr 5 mo
Jan 20263 ROOMS$530,000721 sqftS$73501 TO 0394 yr 5 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.