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SGPropertyIntel
CondominiumFreeholdOutside Central RegionInvestment score 42

Casa Esperanza

BUKIT TIMAH ROAD · D21

Median PSF · 12m

S$2,008

Median price · 12m

S$3.76M

Latest sale

S$3.76M

Dec 2025

1-year change

+2.0%

Sales · 12m

1

8 all time

Gross yield

1.95%

15 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
+12.8%
Annualised
+8.4%
Transactions
8
1 year
+2.0%
3 years p.a.
+3.0%
5 years p.a.
Median size
2,024 sqft

Against the neighbourhood

How it compares within D21

Upper Bukit Timah, Clementi Park, Ulu Pandan. All figures are medians over the last 12 months for private homes in this district.

District analytics
MeasureCasa EsperanzaD21 medianDifference
Median PSFS$2,008S$1,833+9.5%
Median priceS$3.76MS$1.99M+88.5%
Gross rental yield1.95%3.74%-1.8 pts
1-year price change+2.0%+8.7%-6.7 pts

This development trades about 10% above the D21 median price per square foot.

Rental

Rent and yield

From URA private residential rental contracts.

Median monthly rent

S$6,350

Contracts · 12m

15

Implied annual rent

S$76K

Gross yield

1.95%

Unit typeContractsMedian rent
3 bedroom9S$7,000
2 bedroom6S$4,000

Investment analysis

Investment score 42 / 100

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

42/100

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.

  • Locationweight 15%79

    Distance to the nearest rail station, plus schools within 1 km. Nearest is Botanic Gardens MRT at 70 m.

  • Liquidityweight 15%56

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

  • Price momentumweight 18%50

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

  • Valuationweight 22%29

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

  • Supply riskweight 10%23

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

  • Rental yieldweight 20%20

    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

  • Botanic Gardens MRT70 m
  • Botanic Gardens Interchange MRT80 m
  • Tan Kah Kee MRT850 m
  • Farrer Road MRT1.0 km

Schools within 2 km

  • St. Margaret'S School (Secondary)secondary (s1-s5)630 m
  • Nanyang Primary Schoolprimary820 m
  • Hwa Chong Institutionmixed level (s1-jc2)1.1 km
  • Raffles Girls' Primary Schoolprimary1.2 km
  • National Junior Collegemixed level (s1-jc2)1.5 km
  • Singapore Chinese Girls' Schoolsecondary (s1-s4)1.5 km

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

Supply

Upcoming competition

  • 21 ANDERSONAnderson International Properties Pte. Ltd/Raffles Legend Properties Pte. Ltd.19 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
Dec 2025CondominiumS$3,760,0001,873 sqftS$2,00801-05
Apr 2025CondominiumS$4,200,0002,142 sqftS$1,96106-10
Feb 2025CondominiumS$4,000,8882,024 sqftS$1,97701-05
May 2023CondominiumS$3,700,0002,110 sqftS$1,75406-10
Feb 2023CondominiumS$3,880,0002,024 sqftS$1,91706-10
Dec 2021CondominiumS$3,600,0002,024 sqftS$1,77901-05
Oct 2021CondominiumS$3,565,0002,002 sqftS$1,78101-05
Oct 2021CondominiumS$1,830,0001,152 sqftS$1,58906-10

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.