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SG Property Intel
Semi-detachedFreeholdOutside Central RegionInvestment score 64

Landed Housing Development

JALAN KATHI · D16

Median PSF · 12m

S$1,636

Median price · 12m

S$4.63M

Latest sale

S$4.50M

Nov 2025

1-year change

-23.2%

Sales · 12m

4

10 all time

Gross yield

1.99%

2 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
+27.3%
Annualised
+27.3%
Transactions
10
1 year
-23.2%
3 years p.a.
+8.4%
5 years p.a.
Median size
2,815 sqft

Against the neighbourhood

How it compares within D16

Bedok, Upper East Coast, Eastwood, Kew Drive. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureLanded Housing DevelopmentD16 medianDifference
Median PSFS$1,636S$2,472-33.8%
Median priceS$4.63MS$2.03M+127.8%
Gross rental yield1.99%2.81%-0.8 pts
1-year price change-23.2%+55.8%-79.1 pts

This development trades about 34% below the D16 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,850

Contracts · 12m

2

Implied annual rent

S$82K

Gross yield

1.99%

Unit typeContractsMedian rent
All units2S$6,850

Investment analysis

Investment score 64 / 100

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

64/100

100% 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.

  • Price momentumweight 18%87

    Three-year annualised change in median PSF, or one year where three is unavailable.

  • Valuationweight 22%85

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

  • Liquidityweight 15%82

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

  • Supply riskweight 10%62

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

  • Locationweight 15%50

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Sungei Bedok MRT at 610 m.

  • Rental yieldweight 20%21

    Gross yield against every other development in its segment.

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

  • Sungei Bedok MRT610 m
  • Tanah Merah Interchange MRT750 m
  • Bedok South MRT830 m
  • Tanah Merah MRT830 m

Schools within 2 km

  • Bedok South Secondary Schoolsecondary (s1-s5)250 m
  • Bedok View Secondary Schoolsecondary (s1-s5)1.0 km
  • Temasek Primary Schoolprimary1.0 km
  • Temasek Secondary Schoolsecondary (s1-s5)1.0 km
  • Anglican High Schoolsecondary (s1-s4)1.5 km
  • Bedok Green Primary Schoolprimary1.6 km

Distances are straight-line. Proximity does not determine school admission eligibility.

Supply

Upcoming competition

  • BAGNALL HAUSRL Bagnall Pte Ltd113 units470 m
  • SCENECA RESIDENCEMCC Land (TMK) Pte Ltd268 units910 m

High upcoming supply nearby may increase competition for tenants and buyers.

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Nov 2025TerraceS$4,500,0002,838 sqftS$1,585-
Nov 2025TerraceS$4,500,0002,838 sqftS$1,585-
Oct 2025TerraceS$4,750,0002,815 sqftS$1,688-
Oct 2025TerraceS$4,750,0002,815 sqftS$1,688-
Mar 2025TerraceS$3,760,0001,615 sqftS$2,329-
Mar 2025TerraceS$3,760,0001,615 sqftS$2,329-
Dec 2024TerraceS$3,380,0001,748 sqftS$1,934-
Dec 2024TerraceS$3,380,0001,748 sqftS$1,934-
Dec 2022Semi-detachedS$4,400,0003,423 sqftS$1,285-
Dec 2022Semi-detachedS$4,400,0003,423 sqftS$1,285-

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.