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SGPropertyIntel
Terrace999-yearOutside Central RegionInvestment score 31

Kelulut Hill

KELULUT HILL · Singapore 805849 · D28

Median PSF · 12m

S$2,230

Median price · 12m

S$3.60M

Latest sale

S$3.89M

May 2026

1-year change

+20.4%

Sales · 12m

3

10 all time

Gross yield

1.52%

3 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
+22.2%
Annualised
+10.5%
Transactions
10
1 year
+20.4%
3 years p.a.
+1.4%
5 years p.a.
Median size
1,684 sqft

Against the neighbourhood

How it compares within D28

Seletar, Yio Chu Kang. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureKelulut HillD28 medianDifference
Median PSFS$2,230S$1,535+45.3%
Median priceS$3.60MS$1.43M+152.6%
Gross rental yield1.52%3.34%-1.8 pts
1-year price change+20.4%+3.1%+17.3 pts

This development trades about 45% above the D28 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$5,500

Contracts · 12m

3

Implied annual rent

S$66K

Gross yield

1.52%

Unit typeContractsMedian rent
All units3S$5,500

Investment analysis

Investment score 31 / 100

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

31/100

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.

  • Liquidityweight 15%78

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

  • Supply riskweight 10%69

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

  • Price momentumweight 18%33

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

  • Locationweight 15%15

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Fernvale LRT at 1.0 km.

  • Rental yieldweight 20%11

    Gross yield against every other development in its segment.

  • Valuationweight 22%9

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

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

  • Fernvale LRT1.0 km
  • Layar LRT1.2 km
  • Serangoon North MRT1.5 km
  • Thanggam LRT1.5 km

Schools within 2 km

  • Fernvale Primary Schoolprimary770 m
  • Pei Hwa Secondary Schoolsecondary (s1-s5)1.0 km
  • Sengkang Green Primary Schoolprimary1.1 km
  • Hougang Primary Schoolprimary1.1 km
  • Rosyth Schoolprimary1.2 km
  • Hougang Secondary Schoolsecondary (s1-s5)1.3 km

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

Supply

Upcoming competition

  • Luxus HillsSingapore United Estates Pte Ltd161 units460 m
  • Luxus HillsSingapore United Estates Pte Ltd159 units460 m
  • Luxus HillsSingapore United Estates Pte Ltd156 units460 m

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
May 2026TerraceS$3,888,8881,615 sqftS$2,409-
Apr 2026TerraceS$3,600,0001,615 sqftS$2,230-
Oct 2025TerraceS$3,550,0001,615 sqftS$2,199-
Aug 2025TerraceS$4,020,0002,171 sqftS$1,852-
Mar 2025TerraceS$3,999,0002,180 sqftS$1,835-
Nov 2024TerraceS$3,450,0001,615 sqftS$2,137-
Sep 2024TerraceS$4,250,8882,832 sqftS$1,501-
Jul 2024TerraceS$3,540,0001,753 sqftS$2,019-
Jun 2023TerraceS$3,450,0001,615 sqftS$2,137-
Jul 2022TerraceS$3,380,0001,780 sqftS$1,899-

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.