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SGPropertyIntel
CondominiumFreeholdRest of Central RegionInvestment score 64

Casa Sarina

LORONG SARINA · D14

Median PSF · 12m

S$1,419

Median price · 12m

S$1.83M

Latest sale

S$1.70M

Jul 2026

1-year change

Sales · 12m

2

8 all time

Gross yield

2.68%

16 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
+12.6%
Annualised
+6.1%
Transactions
8
1 year
3 years p.a.
+6.2%
5 years p.a.
Median size
1,259 sqft

Against the neighbourhood

How it compares within D14

Geylang, Eunos, Paya Lebar. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureCasa SarinaD14 medianDifference
Median PSFS$1,419S$1,698-16.4%
Median priceS$1.83MS$1.43M+28.5%
Gross rental yield2.68%3.80%-1.1 pts
1-year price change-2.1%

This development trades about 16% below the D14 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$4,100

Contracts · 12m

16

Implied annual rent

S$49K

Gross yield

2.68%

Unit typeContractsMedian rent
3 bedroom11S$4,300
1 bedroom3S$2,800
2 bedroom2S$3,450

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.

  • Supply riskweight 10%100

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

  • Price momentumweight 18%78

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

  • Valuationweight 22%76

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

  • Liquidityweight 15%69

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

  • Locationweight 15%37

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Eunos MRT at 540 m.

  • Rental yieldweight 20%37

    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

  • Eunos MRT540 m
  • Kembangan MRT600 m
  • Ubi MRT1.5 km
  • Marine Terrace MRT1.7 km

Schools within 2 km

  • Haig Girls' Schoolprimary1.0 km
  • St. Stephen'S Schoolprimary1.1 km
  • Manjusri Secondary Schoolsecondary (s1-s5)1.1 km
  • Maha Bodhi Schoolprimary1.2 km
  • Telok Kurau Primary Schoolprimary1.3 km
  • Chij (Katong) Primaryprimary1.5 km

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

Supply

Upcoming competition

  • K SUITESEG Properties Pte Ltd19 units780 m
  • KOON SENG HOUSEMequity K Pte Ltd17 units900 m
  • ARDOR RESIDENCENS Property (Haig) Pte Ltd35 units1.7 km
  • The ContinuumHoi Hup Sunway Katong Pte Ltd816 units1.7 km
  • THE CONTINUUMHoi Hup Sunway Katong Pte Ltd816 units1.8 km

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

The record

Transactions at this development

Browse all transactions
MonthTypePriceSizePSFFloorLease left
Jul 2026CondominiumS$1,700,0001,259 sqftS$1,35001-05
Apr 2026CondominiumS$1,970,0001,324 sqftS$1,48801-05
Jul 2024CondominiumS$995,000743 sqftS$1,34001-05
Nov 2023CondominiumS$1,800,0001,259 sqftS$1,42901-05
May 2023CondominiumS$1,350,0001,141 sqftS$1,18301-05
Apr 2022CondominiumS$1,425,0001,367 sqftS$1,04201-05
Feb 2022CondominiumS$1,500,0001,324 sqftS$1,13301-05
Dec 2021CondominiumS$800,000667 sqftS$1,19901-05

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.