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SG Property Intel
HDB99-yearBuilt 2020Outside Central RegionInvestment score 44

Blk 421A Northshore Dr

NORTHSHORE DR · PUNGGOL · Singapore 821421 · D19

Median PSF · 12m

S$882

Median price · 12m

S$448K

Latest sale

S$475K

Sep 2026

1-year change

Sales · 12m

10

10 all time

Gross yield

6.13%

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
+3.0%
Annualised
+4.0%
Transactions
10
1 year
3 years p.a.
5 years p.a.
Median size
506 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 421A Northshore DrD19 medianDifference
Median PSFS$882S$642+37.4%
Median priceS$448KS$660K-32.2%
Gross rental yield6.13%5.85%+0.3 pts
1-year price change+0.5%

This development trades about 37% 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$2,300

Contracts · 12m

5

Implied annual rent

S$28K

Gross yield

6.13%

Unit typeContractsMedian rent
2 ROOM4S$2,250
3 ROOM1S$2,700

Investment analysis

Investment score 44 / 100

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

44/100

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.

  • Rental yieldweight 20%46

    Gross yield against every other development in its segment.

  • Locationweight 15%44

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Punggol Point LRT at 400 m.

  • Valuationweight 22%4

    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 LRT400 m
  • Samudera LRT410 m
  • Teck Lee LRT750 m
  • Ne18 MRT820 m

Schools within 2 km

  • Northshore Primary Schoolprimary120 m
  • Punggol Cove Primary Schoolprimary1.0 km
  • Valour Primary Schoolprimary1.5 km
  • Punggol View Primary Schoolprimary1.6 km
  • Yusof Ishak Secondary Schoolsecondary (s1-s5)1.6 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
Sep 20262 ROOMS$475,000506 sqftS$93919 TO 2194 yr 2 mo
Jul 20262 ROOMS$435,000506 sqftS$86007 TO 0994 yr 4 mo
Jul 20262 ROOMS$370,000409 sqftS$90504 TO 0694 yr 4 mo
Apr 20263 ROOMS$605,000732 sqftS$82719 TO 2194 yr 6 mo
Apr 20263 ROOMS$567,000732 sqftS$77504 TO 0694 yr 7 mo
Apr 20262 ROOMS$460,000506 sqftS$90913 TO 1594 yr 7 mo
Mar 20262 ROOMS$425,000506 sqftS$84004 TO 0694 yr 8 mo
Feb 20262 ROOMS$520,000506 sqftS$1,02807 TO 0994 yr 9 mo
Feb 20262 ROOMS$375,000409 sqftS$91707 TO 0994 yr 9 mo
Jan 20262 ROOMS$410,000506 sqftS$81013 TO 1594 yr 10 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.